Neurobehavioral Deficits and Parkinsonism in Occupations with Manganese Exposure: A Review of Methodological Issues in the Epidemiological Literature
Identifieur interne : 000427 ( Ncbi/Merge ); précédent : 000426; suivant : 000428Neurobehavioral Deficits and Parkinsonism in Occupations with Manganese Exposure: A Review of Methodological Issues in the Epidemiological Literature
Auteurs : Robert ParkSource :
- Safety and Health at Work [ 2093-7911 ] ; 2013.
Abstract
Exposure to manganese (Mn) is associated with neurobehavioral effects. There is disagreement on whether commonly occurring exposures in welding, ferroalloy, and other industrial processes produce neurologically significant neurobehavioral changes representing parkinsonism. A review of methodological issues in the human epidemiological literature on Mn identified: (1) studies focused on idiopathic Parkinson disease without considering manganism, a parkinsonian syndrome; (2) studies with healthy worker effect bias; (3) studies with problematic statistical modeling; and (4) studies arising from case series derived from litigation. Investigations with adequate study design and exposure assessment revealed consistent neurobehavioral effects and attributable subclinical and clinical signs and symptoms of impairment. Twenty-eight studies show an exposure-response relationship between Mn and neurobehavioral effects, including 11 with continuous exposure metrics and six with three or four levels of contrasted exposure. The effects of sustained low-concentration exposures to Mn are consistent with the manifestations of early manganism, i.e., consistent with parkinsonism. This is compelling evidence that Mn is a neurotoxic chemical and there is good evidence that Mn exposures far below the current US standard of 5.0 mg/m3 are causing impairment.
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DOI: 10.1016/j.shaw.2013.07.003
PubMed: 24106642
PubMed Central: 3791085
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Neurobehavioral Deficits and Parkinsonism in Occupations with Manganese Exposure: A Review of Methodological Issues in the Epidemiological Literature</title><author><name sortKey="Park, Robert M" sort="Park, Robert M" uniqKey="Park R" first="Robert" last="Park">Robert Park</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">24106642</idno><idno type="pmc">3791085</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791085</idno><idno type="RBID">PMC:3791085</idno><idno type="doi">10.1016/j.shaw.2013.07.003</idno><date when="2013">2013</date><idno type="wicri:Area/Pmc/Corpus">000330</idno><idno type="wicri:Area/Pmc/Curation">000330</idno><idno type="wicri:Area/Pmc/Checkpoint">000069</idno><idno type="wicri:Area/Ncbi/Merge">000427</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Neurobehavioral Deficits and Parkinsonism in Occupations with Manganese Exposure: A Review of Methodological Issues in the Epidemiological Literature</title><author><name sortKey="Park, Robert M" sort="Park, Robert M" uniqKey="Park R" first="Robert" last="Park">Robert Park</name></author></analytic><series><title level="j">Safety and Health at Work</title><idno type="ISSN">2093-7911</idno><idno type="e-ISSN">2093-7997</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Exposure to manganese (Mn) is associated with neurobehavioral effects. There is disagreement on whether commonly occurring exposures in welding, ferroalloy, and other industrial processes produce neurologically significant neurobehavioral changes representing parkinsonism. A review of methodological issues in the human epidemiological literature on Mn identified: (1) studies focused on idiopathic Parkinson disease without considering manganism, a parkinsonian syndrome; (2) studies with healthy worker effect bias; (3) studies with problematic statistical modeling; and (4) studies arising from case series derived from litigation. Investigations with adequate study design and exposure assessment revealed consistent neurobehavioral effects and attributable subclinical and clinical signs and symptoms of impairment. Twenty-eight studies show an exposure-response relationship between Mn and neurobehavioral effects, including 11 with continuous exposure metrics and six with three or four levels of contrasted exposure. The effects of sustained low-concentration exposures to Mn are consistent with the manifestations of early manganism, i.e., consistent with parkinsonism. This is compelling evidence that Mn is a neurotoxic chemical and there is good evidence that Mn exposures far below the current US standard of 5.0 mg/m<sup>3</sup> are causing impairment.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Lezak, M D" uniqKey="Lezak M">M.D. Lezak</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Zoni, S" uniqKey="Zoni S">S. Zoni</name></author><author><name sortKey="Albibi, E" uniqKey="Albibi E">E. Albibi</name></author><author><name sortKey="Lucchini, R" uniqKey="Lucchini R">R. Lucchini</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Iregren, A" uniqKey="Iregren A">A. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Saf Health Work</journal-id><journal-title-group><journal-title>Safety and Health at Work</journal-title></journal-title-group><issn pub-type="ppub">2093-7911</issn><issn pub-type="epub">2093-7997</issn></journal-meta><article-meta><article-id pub-id-type="pmid">24106642</article-id><article-id pub-id-type="pmc">3791085</article-id><article-id pub-id-type="publisher-id">S2093-7911(13)00028-0</article-id><article-id pub-id-type="doi">10.1016/j.shaw.2013.07.003</article-id><article-categories><subj-group subj-group-type="heading"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title>Neurobehavioral Deficits and Parkinsonism in Occupations with Manganese Exposure: A Review of Methodological Issues in the Epidemiological Literature</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Park</surname><given-names>Robert M.</given-names></name><email>rhp9@cdc.gov</email><xref rid="cor1" ref-type="corresp">∗</xref><xref rid="fn1" ref-type="fn">☆</xref></contrib></contrib-group><aff id="aff1">National Institute for Occupational Safety and Health, Education and Information Division, Cincinnati, OH, USA</aff><author-notes><corresp id="cor1"><label>∗</label>Corresponding author. National Institute for Occupational Safety and Health, Risk Evaluation Branch, 4676 Columbia Parkway, G15, Cincinnati, OH 45226, USA. <email>rhp9@cdc.gov</email></corresp><fn id="fn1"><label>☆</label><p>The findings and conclusions in this report are those of the author and do not necessarily represent the views of the National Institute for Occupational Safety and Health.</p></fn></author-notes><pub-date pub-type="pmc-release"><day>1</day><month>8</month><year>2013</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="epub"><day>1</day><month>8</month><year>2013</year></pub-date><pub-date pub-type="ppub"><month>9</month><year>2013</year></pub-date><volume>4</volume><issue>3</issue><fpage>123</fpage><lpage>135</lpage><history><date date-type="received"><day>25</day><month>4</month><year>2013</year></date><date date-type="rev-recd"><day>19</day><month>6</month><year>2013</year></date><date date-type="accepted"><day>24</day><month>7</month><year>2013</year></date></history><abstract><p>Exposure to manganese (Mn) is associated with neurobehavioral effects. There is disagreement on whether commonly occurring exposures in welding, ferroalloy, and other industrial processes produce neurologically significant neurobehavioral changes representing parkinsonism. A review of methodological issues in the human epidemiological literature on Mn identified: (1) studies focused on idiopathic Parkinson disease without considering manganism, a parkinsonian syndrome; (2) studies with healthy worker effect bias; (3) studies with problematic statistical modeling; and (4) studies arising from case series derived from litigation. Investigations with adequate study design and exposure assessment revealed consistent neurobehavioral effects and attributable subclinical and clinical signs and symptoms of impairment. Twenty-eight studies show an exposure-response relationship between Mn and neurobehavioral effects, including 11 with continuous exposure metrics and six with three or four levels of contrasted exposure. The effects of sustained low-concentration exposures to Mn are consistent with the manifestations of early manganism, i.e., consistent with parkinsonism. This is compelling evidence that Mn is a neurotoxic chemical and there is good evidence that Mn exposures far below the current US standard of 5.0 mg/m<sup>3</sup> are causing impairment.</p></abstract><kwd-group><title>Keywords</title><kwd>manganism</kwd><kwd>neurobehavioral signs and symptoms</kwd><kwd>neuropsychological tests</kwd><kwd>welding</kwd></kwd-group></article-meta></front><body><sec id="sec1"><label>1</label><title>Introduction</title><p>Although the manganese (Mn) literature provides a relatively consistent body of evidence, there are inconsistencies and concerns that bear exploration. One concern is the significance of early neuropsychological effects and subtle impairment. Another is whether these effects are manifestations of parkinsonism. Other areas of contention include aspects of study design, analysis, bias, and inference. This review focuses on the literature reflecting these concerns and then summarizes current findings.</p></sec><sec id="sec2"><label>2</label><title>Neurological effects</title><sec id="sec2.1"><label>2.1</label><title>Neuropsychological testing</title><p>Neuropsychological examinations can identify subtle and subclinical effects such as memory loss or increased anxiety <xref rid="bib1 bib2" ref-type="bibr">[1,2]</xref>. Neurobehavioral testing began in the early 1960s based on experimental and clinical psychology and neuropsychology, and was used to identify developing impairment and prevent further deterioration <xref rid="bib3" ref-type="bibr">[3]</xref>. Tests encompassing diverse neuropsychological and neurophysiological domains have been used to describe effects of pesticides, lead (Pb), solvents, and mercury (Hg) in the workplace and the general environment <xref rid="bib4 bib5" ref-type="bibr">[4,5]</xref>. An attempt was made in 1983 to standardize studies of neurotoxicants at a conference arranged by the World Health Organization (WHO) and National Institute for Occupational Safety and Health <xref rid="bib6 bib7" ref-type="bibr">[6,7]</xref>. They recommended a battery of seven neurobehavioral tests known as the WHO Neurobehavioral Core Test Battery (WHO-NCTB), and although these did not become the gold standard for neuropsychological assessment and have mostly not been adopted by psychological test publishers in the United States or elsewhere, they are among the most frequently used tests in the study of neurotoxic disorders. Many of these tests have been characterized in normal populations including age and sex dependence. Interpretation of individual findings may be difficult <xref rid="bib8" ref-type="bibr">[8]</xref> and their relevance to clinical disease uncertain, but they can identify group differences <xref rid="bib2 bib9 bib10 bib11 bib12" ref-type="bibr">[2,9–12]</xref>. Innovation and efforts at consensus on standardization have continued <xref rid="bib2 bib13" ref-type="bibr">[2,13]</xref>. Health Canada <xref rid="bib14" ref-type="bibr">[14]</xref> has grouped neurofunctional tests into the following broad categories: (1) effects on motor function and reaction time; (2) effects on cognition, memory, attention, and sensory function; and (3) subjective symptoms and mood. In reviewing 18 studies of Mn effects, Zoni et al <xref rid="bib2" ref-type="bibr">[2]</xref> identified 64 tests in 14 domains, which include: reaction time, eye-hand coordination, hand dexterity, tremor or steadiness, motor batteries, cognitive functions, memory, mood, neurosensory functions, and neurological endpoints. Standardized neurological examinations such as the Unified Parkinson's Disease Rating Scale <xref rid="bib15 bib16" ref-type="bibr">[15,16]</xref> (UPDRS) are also used, although, in some cases, neurobehavioral tests appear to be reliable substitutes <xref rid="bib17" ref-type="bibr">[17]</xref>. Use of neuropsychological and behavioral outcomes in large epidemiologic studies and in risk assessments has been examined <xref rid="bib9 bib18 bib19 bib20" ref-type="bibr">[9,18–20]</xref> with emphasis on the distributional implications of small average decrements in performance even in the absence of a defined clinical syndrome or known mechanistic basis. Small changes in scores on standardized tests have been shown to be important, at the population level, for real-life functions and capabilities. <xref rid="bib21" ref-type="bibr">[21]</xref></p></sec><sec id="sec2.2"><label>2.2</label><title>Effects observed with Mn</title><p>Cognitive, psychological, motor, and sensory effects have been observed in welders with relatively low Mn exposures <xref rid="bib22 bib23 bib24 bib25 bib26 bib27 bib28" ref-type="bibr">[22–28]</xref>. These findings are consistent with assessments in other Mn-exposed populations such as battery production <xref rid="bib8 bib29" ref-type="bibr">[8,29]</xref>, ferromanganese production <xref rid="bib30 bib31 bib32 bib33" ref-type="bibr">[30–33]</xref>, and ore processing <xref rid="bib34 bib35" ref-type="bibr">[34,35]</xref>. Although symptoms and deficits vary, workers with elevated exposures commonly reported headache, weakness, memory loss, sleep disturbance, irritability, anxiety disorders, and gait disturbance. These effects have been associated with Mn deposition in the brain as measured with magnetic resonance imaging (MRI) in otherwise normal industrial populations <xref rid="bib25" ref-type="bibr">[25]</xref>. Early neuropsychological deficits have been clearly associated with chronic conditions such as headache, muscle weakness, or memory loss <xref rid="bib8 bib22 bib26 bib28 bib30 bib33 bib34 bib36 bib37 bib38 bib39 bib40 bib41 bib42" ref-type="bibr">[8,22,26,28,30,33,34,36–42]</xref>. Aside from quality-of-life issues, these conditions may impair work performance and safety. Some investigators reject these findings <xref rid="bib43 bib44 bib45" ref-type="bibr">[43–45]</xref>. Citing methodological problems in cross-sectional studies, Jankovic <xref rid="bib43" ref-type="bibr">[43]</xref> denies the value of neuropsychological testing for assessing adverse exposure effects and considers some published reports with positive findings to be negative, such as those of Myers et al <xref rid="bib46" ref-type="bibr">[46]</xref> and Bowler et al. <xref rid="bib47" ref-type="bibr">[47]</xref> Olanow <xref rid="bib45" ref-type="bibr">[45]</xref> in the legal arena has dismissed as insignificant “preclinical” effects in Mn-exposed welders. This review will address these contentions.</p></sec><sec id="sec2.3"><label>2.3</label><title>Idiopathic Parkinson disease and Mn</title><p>Controversy remains about whether Mn-exposed workers have increased risk of developing idiopathic Parkinson disease (PD) <xref rid="bib48 bib49" ref-type="bibr">[48,49]</xref> and whether the associated neurobehavioral and neurological signs and symptoms constitute early manifestations of manganism <xref rid="bib50" ref-type="bibr">[50]</xref>. Racette et al <xref rid="bib51" ref-type="bibr">[51]</xref> reported welders have PD onset at an earlier age than others, precipitating considerable interest in Mn exposures. They examined 15 patients with movement disorder and welding experience and concluded that parkinsonism associated with welding is not clinically distinct from PD (although patients with atypical PD features had been excluded from their series) <xref rid="bib52" ref-type="bibr">[52]</xref>. Although they argued that there were no manifestations of manganism in the welders, others disagreed <xref rid="bib53" ref-type="bibr">[53]</xref>. It is unclear how much Mn exposure the 15 welders experienced. There were no blood-Mn determinations; only two of the 15 welders were evaluated with positron emission tomography (PET), showing evidence of diminished dopamine uptake as in PD. Finding a younger age at PD onset in welders is difficult to interpret. Perhaps welders report motor deficits sooner (at a younger age) than others as it affects their ability to work (manipulating a device with precise hand-arm control). Older workers, when asked their occupation, may be likely to say they are retired <xref rid="bib54" ref-type="bibr">[54]</xref>. Some of the PD cases could have had an overlay of early manganism symptoms resulting in earlier detection of PD. An age-adjusted relative risk of PD in welders was not calculable in the study design by Racette et al <xref rid="bib51" ref-type="bibr">[51]</xref>. Other studies examining a Mn-PD link have been largely negative or did not rule out manganism <xref rid="bib55 bib56 bib57 bib58 bib59 bib60 bib61 bib62" ref-type="bibr">[55–62]</xref>, although bias from the healthy worker effect may have been present (see below). In a recent study of dopamine uptake using PET scans, Criswell et al <xref rid="bib63" ref-type="bibr">[63]</xref> compared three groups (<italic>n</italic> = 20 per group): normal volunteers, asymptomatic welders, and patients with PD. The welders had elevated blood Mn levels (mean: 20.7 μg/L), elevated pallidal index indicating Mn deposition in the brain, and elevated UPDRS scores despite being asymptomatic. Similar to the patients with PD, the welders had significant reductions in dopamine uptake but exhibited a distinct pattern. Compared with patients with PD, they showed a larger dopamine uptake deficit in the caudate region of the brain and a smaller effect in the anterior and posterior putamen, which the authors suggest could provide a physiological basis for observed cognitive and behavioral abnormalities associated with Mn exposure.</p></sec></sec><sec id="sec3"><label>3</label><title>Issues in study design</title><sec id="sec3.1"><label>3.1</label><title>Litigation series</title><p>As occurred with asbestos and benzene, litigation regarding occupational Mn exposure has stimulated epidemiological investigation. Bowler et al <xref rid="bib47" ref-type="bibr">[47]</xref> described a relatively large litigation case series of welders and a comparison group consisting primarily of individuals randomly selected from telephone directories. The source population and case identification procedure were not described. No specific welding fume exposure measurements in air or biomarkers were available except for the duration of welding years (mean = 24.9 years). Participants, 76 welders and 42 controls, were evaluated for symptoms and administered multiple neurobehavioral batteries in a blind fashion. Welders did not perform as well as controls on verbal learning, working memory, cognitive flexibility, visuomotor speed, and motor efficiency. Welders also had poorer emotional status, impaired color vision, and increased prevalence of illnesses and psychiatric symptoms. Symptoms and neurobehavioral deficits were correlated in the welders. Statistically significant negative associations were reported between duration in welding and verbal learning, auditory span, working memory, cognitive flexibility, and motor efficiency. Lees-Haley (who was hired by the defense in welding rod litigation) et al <xref rid="bib44" ref-type="bibr">[44]</xref> dispute the findings of Bowler (who has worked for welding plaintiffs) et al <xref rid="bib47" ref-type="bibr">[47]</xref>, claiming that the ambiguous case derivation limits etiologic inference. Thus, the Bowler case series could merely represent a selection of prevalent movement disorder or other neurobehavioral outliers from a large welder source population that has a typical, expected distribution of these outcomes. However, if that were the origin of these cases, one would expect that PD would predominate among those presenting with movement disorders. Goldman et al <xref rid="bib56" ref-type="bibr">[56]</xref> observed in a series of 2072 consecutive parkinsonism cases that 90% were PD. Tanner <xref rid="bib60" ref-type="bibr">[60]</xref>, in a similar clinical series of 519 parkinsonism cases, classified 97% as PD. However, Bowler et al <xref rid="bib47" ref-type="bibr">[47]</xref> identified no cases of PD for exclusion (believed not to be Mn-related; personal communication). Self-selection by welders on the nonspecific neuropsychological outcomes studied is even less plausible than on movement disorders. The Bowler case series provides descriptive detail on likely Mn effects in a welder population but does not permit quantitative estimates of excess risk.</p><p>Bowler et al <xref rid="bib64" ref-type="bibr">[64]</xref> evaluated a second litigation case series from an uncharacterized regional population of welders in the southeastern United States <xref rid="bib65" ref-type="bibr">[65]</xref>. Forty-seven welders reported adverse mental, medical, or neurological effects (15 were excluded due to unavailability, illness, incomplete testing, poor vision, or potential malingering) and were compared with 42 controls (four exclusions; same controls as used in Bowler et al <xref rid="bib47" ref-type="bibr">[47]</xref>). All participants were administered an extensive array of neuropsychological tests by trained neuropsychologists. A neurological examination by a board-certified movement disorder specialist in neurology included the UPDRS rating scale, Part III, the motor subtest. The welders showed pronounced deficits in motor skills, visuomotor tracking, information processing, working memory, verbal skills, and mood indicators. This study, like the previous case series <xref rid="bib47" ref-type="bibr">[47]</xref>, had potential selection bias preventing estimation of relative risk. However, the neurological evaluation identified only a few possible cases of PD. Thirteen symptomatic workers previously untreated for parkinsonism were evaluated for levodopa responsiveness and none showed the strong levodopa response expected for PD cases. <xref rid="bib65" ref-type="bibr">[65]</xref></p><p>Rohling and Demakis <xref rid="bib66" ref-type="bibr">[66]</xref> compared the two case series by Bowler et al <xref rid="bib47 bib64" ref-type="bibr">[47,64]</xref> and reported that the estimated neuropsychological effect sizes and the patterns of effects within each study were different, concluding that the two studies do not support a common pattern of neuropsychological impairment attributable to Mn exposure. Rohling and Demakis <xref rid="bib66" ref-type="bibr">[66]</xref> required two unsupported assumptions: (1) that the studies had the same valid designs for quantitative etiologic inference; and (2) that the exposure experience (duration, air concentrations, types of welding), was similar. Moreover, the Rohling and Demakis analyses reveal considerable consistency in deficits in the Bowler studies, although the series by Bowler et al <xref rid="bib64" ref-type="bibr">[64]</xref> exhibited systematically higher levels of deficit. Given that the two series represent uncharacterized self-selection of workers lacking documented Mn-exposure histories, the two groups would not be expected to show the same levels of impairment.</p><p>Although modest enhancements in study design and reporting could improve the quality of some litigation-derived analyses, Bowler et al <xref rid="bib47 bib66" ref-type="bibr">[47,66]</xref> provide descriptive support for the association of neurological effects and Mn exposure in two typical welder populations. A third litigation-related series by Bowler et al <xref rid="bib27 bib36" ref-type="bibr">[27,36]</xref> consisted of a cross-sectional assessment of workers on a bridge-welding project where no important selection bias could have been present. <xref rid="bib67" ref-type="bibr">[67]</xref></p><p>Another litigation series consisted of 20,000 union welders screened for neurologic abnormalities but the source population was not adequately described <xref rid="bib68" ref-type="bibr">[68]</xref>; 248 cases (1.2%) of PD were found along with 583 cases (2.9%) of manganism. In an apparently random sample of 37 of the manganism cases, measurements of tremor indices were distinctly different from the published norms for healthy controls: tremor intensity was elevated fivefold. Bias from selective recruitment of welders with movement disorders was probably at most modest because the prevalence of PD in the general population >60 years is 1.5–2%; the mean age of the screened welders was 55 years so that the expected prevalence in the screened population would be somewhat lower, as observed (1.2%).<sup>68</sup> Litigation series could be quite informative if information that would enable an upper-bound estimate of selection bias were reported. For example: How were participants solicited? How many could have participated?</p></sec><sec id="sec3.2"><label>3.2</label><title>Healthy worker effect</title><p>In occupational epidemiology, inappropriate comparison populations can introduce healthy worker effect (HWE) bias <xref rid="bib69 bib70" ref-type="bibr">[69,70]</xref>. Respiratory disease outcomes are especially vulnerable to this bias as they relate to fitness-to-perform work <xref rid="bib70" ref-type="bibr">[70]</xref>; neurobehavioral deficits is another area where effect on work-fitness could generate an important HWE. Evidence for the HWE in neurological outcomes is apparent in several studies of Mn effects. Park et al <xref rid="bib55" ref-type="bibr">[55]</xref> examined by interview a large Korean PD case series in relation to occupation. With the diagnosis made at five clinics beginning in 2001, 367 incident cases of PD agreed to participate (participation rate not reported; an unknown number of all other forms of parkinsonism were excluded). In a case-control design, incident cerebrovascular controls were identified in the same clinics. After controlling for age, education, sex, and smoking, occupations in manufacturing showed a negative association with PD [odds ratio (OR) = 0.56, 95% confidence interval (CI) = 0.34–0.92] suggesting selection away from such work by workers at risk for PD, or, substantially elevated cerebrovascular disease in those occupations. The associations of PD with occupations tied to Mn exposure (welders, welding rod manufacturing, Mn mining, and smelters; OR = 0.42, 95% CI = 0.22–0.81) or in transportation occupations (OR = 0.20, 95% CI = 0.06–0.71) were even smaller. Agricultural work and professional occupations exhibited elevated risks of PD as has been observed elsewhere <xref rid="bib57 bib60 bib71 bib72 bib73 bib74" ref-type="bibr">[57,60,71–74]</xref>. It is unlikely that a variation in rates of cerebrovascular disease alone could explain these results. Instead, they suggest a strong HWE with respect to PD in many occupations and imply that a similar confounding bias would be operating for other forms of parkinsonism. The study was uninformative on the question of early manganism in Mn-exposed workers as this and other forms of non-PD parkinsonism were excluded.</p><p>Fryzek et al <xref rid="bib75" ref-type="bibr">[75]</xref> linked the Danish National Register of Patients (hospital admission and outpatient records) with a cohort from stainless and mild steel metal manufacturers in order to study welding and parkinsonism. Standardized hospital admission ratios (SHR) were calculated. For all welding department workers the SHR for PD was 1.0 (95% CI = 0.7–1.5) and for actual welders it was 0.9 (95% CI = 0.4–1.5), exhibiting a possible deficit as observed by Park et al. <xref rid="bib55" ref-type="bibr">[55]</xref> Fored et al <xref rid="bib76" ref-type="bibr">[76]</xref> conducted a population-based (gainfully employed) assessment of the incidence of parkinsonism and related movement disorders among welders in Sweden by linking hospital discharge diagnoses with census data. Among almost 50,000 welders and flame cutters, there was a slight deficit in PD incidence [relative risk (RR) = 0.89, 95% CI = 0.79–0.99], replicating the observations of Park et al <xref rid="bib55" ref-type="bibr">[55]</xref> and Fryzek et al <xref rid="bib75" ref-type="bibr">[75]</xref> and suggesting that the welder workforce in general has favorable neurological status and thus would be subject to the HWE.</p><p>Marsh and Gula <xref rid="bib59" ref-type="bibr">[59]</xref> were commissioned to analyze “idiopathic Parkinson's disease, parkinsonism or a related neurological disorder,” at three Caterpillar heavy equipment manufacturing plants, using medical insurance claims. They classified workers as ever or never performing welding work (including “electrode” or resistance welding as well as other “fabrication” jobs that may not confer Mn exposures). The outcome of primary interest selected by the investigators was PD [International Classification of Diseases, Ninth Revision (ICD-9): 332.0]. Using two sets of matched controls (10:1), the investigators observed ORs for incident cases of PD of 0.76 (95% CI = 0.26–2.19) and 0.81 (95% CI = 0.29–2.25), respectively. For prevalent cases, they observed ORs of 0.82 and 0.97, respectively. Thus, compared to other workers, the group including welders had a less-than-expected association with PD, further supporting the concern over bias arising from the HWE in occupational studies of neurological outcomes in groups with special skills.</p><p>Ellingsen et al <xref rid="bib28" ref-type="bibr">[28]</xref> studied workers with at least 1 year of employment as a welder at two large shipbuilding and machine manufacturing enterprises in St. Petersburg, Russia. In addition, 27 from a case series of 37 workers compensated for welding-related manganism (a compensable occupational disease in Russia) from a St. Petersburg clinic were examined. Welders in groups with increasing Mn exposure exhibited substantially lower performance on Digit Symbol and Finger Tapping than referents, and welders as a group had nonsignificantly elevated symptoms, but performed better on hand steadiness. As the authors observed, hand steadiness, an attribute of considerable importance to welders, may exhibit healthy worker bias (or perhaps worker skill bias), which would tend to confound comparisons with nonwelders and cause an underestimation of Mn effects.</p><p>For a mortality study of neurodegenerative disease deaths in the United States during 1985–1999, Stampfer <xref rid="bib61" ref-type="bibr">[61]</xref> used the Cause of Death database of the US National Center for Health Statistics and observed adjusted mortality odds ratios for PD of 0.85 (95% CI = 0.77–0.94) and 0.83 (95% CI = 0.78–0.88) in welders, using two definitions of welding occupations <xref rid="bib61" ref-type="bibr">[61]</xref>. This supports the presence of a significant HWE among welders. An even stronger effect was observed in welders for motor neuron disease (amyotrophic lateral sclerosis, OR = 0.71, 95% CI = 0.56–0.89), a chronic condition that clearly would affect welders' ability to work.</p><p>Neurobehavioral studies of skilled workers using the general population as a reference are likely to be subject to healthy worker biases because skilled welders may require above average visuomotor skills. If the HWE were as large as 10% for neurobehavioral outcomes in welders (i.e., for an adverse outcome, RR = 0.9 in the absence of Mn exposure), and if the proportion of welders exposed to levels of Mn associated with deficits that have been observed (i.e., above 0.3 mg/m<sup>3</sup> Mn) were as small as 2%, then very high RRs (RR > 5, from 0.02 × RR × 0.90 = 0.10) in the group exposed above 0.3 mg/m<sup>3</sup> would be required prior to when the RR of welders in the aggregate would exceed 1.0, and much higher relative risks in the exposed (>30) would be needed to achieve an elevated RR of 1.5 in the aggregate. The likely presence of HWE in large surveillance-type studies and in others using general reference populations could obscure important associations in occupational studies of environmental etiologic agents.</p></sec><sec id="sec3.3"><label>3.3</label><title>Statistical power</title><p>Several published studies have had limited statistical power to address a Mn association with non-PD parkinsonism. Among welders in the Danish study of Fryzek et al <xref rid="bib75" ref-type="bibr">[75]</xref> (comprising 22% of the study population), there were 11 cases of PD and only four cases of other parkinsonism or related neurodegenerative disorders (including two cases of dystonia–altered muscle tone and mobility). Without actual Mn exposure data, this study would have very limited statistical power for detecting an excess of non-PD parkinsonism in welders. In the population-based hospital discharge study of Swedish welders by Fored et al <xref rid="bib76" ref-type="bibr">[76]</xref>, there were 383 incident cases of parkinsonism of which 353 cases were of PD (92%) and 30 cases (7.8%) were of other parkinsonism: extrapyramidal and movement disorders (<italic>n</italic> = 26) and dystonia (<italic>n</italic> = 4). An analysis of RR for non-PD parkinsonism with welding was not reported but could have had limited power because of: (1) the HWE observed there for all movement disorders (RR = 0.91), and (2) the absence of type-of-welding information at the individual level, which would help identify high-exposure groups. Furthermore, cases likely to result in hospitalization would have relatively advanced parkinsonism, whereas Mn-related disease may be inherently self-limiting because significant impairment would lead to termination of employment as welders. A statistically nonsignificant elevation was observed for the four welders in whom dystonia was diagnosed (RR = 1.42), a manifestation of manganism.</p><p>In the clinical series of Goldman et al <xref rid="bib56" ref-type="bibr">[56]</xref>, 90.5% of 2249 movement disorder cases had a diagnosis of PD, including the three cases whose primary lifetime employment was welding. The expected number of non-PD parkinsonism among those welders would have been 0.29 [=(1-0.905) × 3]; therefore the study had minimal power to detect an excess of non-PD parkinsonism in welders. In the clinical series of 519 movement disorder cases by Tanner <xref rid="bib60" ref-type="bibr">[60]</xref>, 97% were PD and 41 of 519 were ever welders (a much higher proportion – by a factor of 60 – than in Goldman et al <xref rid="bib56" ref-type="bibr">[56]</xref>, where longest-duration occupation was used). In this case-control design, there was no association of parkinsonism with ever-welding (OR = 1.01), implying that about 97% of both welders and nonwelders with parkinsonism had a diagnosis of PD and that the number of non-PD parkinsonism cases expected among the 41 welders was about 1.2 [=(1–0.97) × 41], implying that this study also had limited statistical power for addressing the manganism hypothesis. However, if a 10% HWE were present (less likely for “ever-welders”), then there would be a relative risk of 1.01/0.9 = 1.12 for parkinsonism in welders, and if there was no excess of PD in welders, then the 12% excess risk would correspond to a considerably higher relative risk for non-PD parkinsonism in welders. Thus, several studies of neurological impairment in welders that have been reported and cited as “negative” had limited statistical power, which should be explicitly acknowledged.</p></sec><sec id="sec3.4"><label>3.4</label><title>Exposure and model specification</title><p>Some studies used analytical strategies that were not favorable toward identifying a true association of Mn with neurological deficits. Kim et al <xref rid="bib23" ref-type="bibr">[23]</xref> studied neurobehavioral performance in 121 workers involved in welding, steel alloy production, and welding rod manufacturing in Korea. Three groups defined by current total airborne Mn concentrations were compared: “unexposed” (<0.01 mg/m<sup>3</sup>), low (0.01–0.10 mg/m<sup>3</sup>), and high (>0.10 mg/m<sup>3</sup>). All three groups had elevated blood-Mn (MnB) with the levels increasing with Mn exposure but not statistically significantly. Regression models were fit for diverse neurobehavioral outcomes using all predictors and risk factors as independent variables including Mn (air), Mn (blood), Mn (urine), and MRI scores for Mn deposition in the brain. Finger Tapping deficits were significantly associated with airborne Mn but the trends for Finger Tapping, Digit Span, Digit Symbol, Pursuit Aiming, and Simple Reaction Time across levels of exposure were not significant. These models may not have been optimal for estimating the Mn exposure response because including other causal-path variables in the model [Mn (blood), MRI scores] could have reduced exposure effect-estimates. Abnormal neurological signs (tremor, muscle rigidity, bradykinesia, or postural instability) were observed in 9.1% (two cases) of the “unexposed” comparison group, which also had elevated MnB levels (11.9 μg/L), suggesting that some individuals in the unexposed group had significant prior exposure to Mn.</p><p>Myers et al <xref rid="bib46" ref-type="bibr">[46]</xref> conducted a cross-sectional neurobehavioral study comparing South African ferroalloy smelter workers with workers in electrical fittings manufacturing not exposed to Mn. The plant process areas were classified in three levels of current inhalable Mn exposure: high > 2.0 mg/m<sup>3</sup> (<italic>n</italic> = 201), medium 0.1–2.0 mg/m<sup>3</sup> (<italic>n</italic> = 201), and low < 0.1 mg/m<sup>3</sup> (<italic>n</italic> = 107). The mean Mn in blood was 12.5 μg/L in the ferroalloy workers versus 6.4 μg/L in the electrical workers, and the mean Mn (urine) was 10.5 μg/L versus 0.96 μg/L, respectively. Statistically significant declining performance scores were observed with cumulative exposure classified categorically in regression models for Digit Symbol, Digit Span, Santa Ana dexterity, reaction time, and Finger Tapping tests. Although the parameter estimate for a linear effect on Digit Span was highly significant (<italic>p</italic> = 0.001), most of the outcomes did not exhibit statistically significant linear trends, perhaps because much of the performance decline had already occurred within the lowest cumulative exposure category, resulting in a nonlinear relationship over the observed range of cumulative exposure. For example, with the Santa Ana dexterity test most of the deficit with increasing cumulative exposure had occurred by 1.3 mg/m<sup>3</sup>–years, in the lowest exposure category. A metric like the square-root of cumulative exposure could have been more appropriate. Large differences in comparisons using internal versus external controls suggest either that there was residual confounding in spite of age, education, and home language being controlled, or that the processes thought to have low exposure and used to define the internal referent group may have had important Mn exposures, as suggested in the Santa Ana dexterity, Benton, and Digit-symbol regression results. A composite score of clinical abnormalities was significantly elevated comparing the medium- and high-exposure workers with the low exposure group (one or more abnormalities: OR = 3.7, 95% CI = 1.1,13), and a significant trend of the clinical abnormalities score across quartiles of MnB was also observed. However, these investigators concluded that there was “little convincing evidence for a continuum of effects…” related to Mn <xref rid="bib46" ref-type="bibr">[46]</xref>, and reviews of this study have inexplicably interpreted it as negative. <xref rid="bib43 bib49" ref-type="bibr">[43,49]</xref> Further examination of the neurobehavioral exposure responses in this population confirmed the nonlinearity of the responses but the investigators focused more on fortuitous and inappropriate linear estimates than on characterizing and interpreting the nonlinear response as strong evidence for a substantial Mn effect. <xref rid="bib77" ref-type="bibr">[77]</xref></p><p>In the litigation series of 20,000 screened welders <xref rid="bib68" ref-type="bibr">[68]</xref> where there was minimal likelihood of strong selection bias and statistically significant increased tremor intensity, regression models using 37 welders were fit on age, as a surrogate for cumulative Mn exposure. The trends were not significant. A more powerful analysis would have incorporated into the model as fixed intercepts the expected age-specific values for tremor derived from population norms.</p><p>Some studies investigating whether Mn exposures that cause PD have indirectly or inadvertently addressed the association with non-PD parkinsonism. Park et al <xref rid="bib58" ref-type="bibr">[58]</xref> investigated PD in 24,963 blue-collar workers and 13,597 white-collar workers employed for at least 12 months at two Korean shipyards, linking records to the national medical insurance database. Study participants were classified as: (1) welders, (2) cutting, grinding, fitting, and finishing, and (3) other (painting, plating, drilling, maintenance). The geometric mean for air samples (<italic>n</italic> = 165) in welders was 0.88 mg/m<sup>3</sup> Mn and in cutters, fitters, etc. it was 0.10 mg/m<sup>3</sup> (<italic>n</italic> = 41). A neurologist identified only nine new PD cases (ICD-10: G20) among the 115 workers with 475 insurance claims coded as ICD10: G20–G26 (extrapyramidal and movement disorders). The crude (not age-adjusted) rates of PD were very close comparing the blue- and white-collar populations but using Cox regression adjusting for age, the investigators estimated the relative risk for PD among the blue-collar workers to be 4.19 (95% CI = 0.96–18.3), statistically significant as a one-tailed test. Based on the exposure classification, however, the high exposure group (welders, two cases; RR = 1.96) and the low exposure group (painters, maintenance, etc., four cases; RR = 3.65) were not significantly different (although the parameterization of the model is not entirely clear). With small numbers of exposed cases this study is not informative on whether welding with Mn exposures is a risk factor for PD. However, the large number of non-PD parkinsonism cases identified (<italic>n</italic> = 106; 92% of 115 parkinsonism cases) is in sharp contrast to studies based on hospitalization or tertiary clinic series where PD dominates the parkinsonism picture <xref rid="bib56 bib60" ref-type="bibr">[56,60]</xref> and suggests excess movement disorders in these shipyard workers. Analysis of these 106 non-PD cases in relation to past exposure would have been quite revealing.</p><p>In the Marsh and Gula <xref rid="bib59" ref-type="bibr">[59]</xref> study of welders in heavy equipment manufacturing, no PD excess was observed. Due to concern that misdiagnosis could occur, the investigators defined a second expanded group of cases to include “other degenerative diseases of the basal ganglia” and “essential or other specified forms of tremor” (ICD-9: 333.0 and 333.1, respectively). With the expanded case definition, slightly larger ORs were observed. The investigators did not analyze separately the non-PD parkinsonism cases used to expand their definition, which are some of the specific forms of parkinsonism in which manganism might be coded. However, one can ascertain the numbers of these case incidents among welders (<italic>n</italic> = 26) and nonwelders (<italic>n</italic> = 12) by comparing Tables 2 and 4 in Marsh and Gula <xref rid="bib59" ref-type="bibr">[59]</xref> and calculating an OR (disregarding matching) to obtain OR = 1.69 (95% CI = 0.81–3.6). A more accurate, adjusted estimate would result from a matched analysis (not possible with the data reported). This result suggests that welding-(Mn)-related parkinsonism is present in this population and might be evident in analyses using estimates of cumulative or recent (5 year) Mn exposure. Implemented as a test for welding and PD, this study has been interpreted as negative.</p><p>From a mortality analysis of US welders, Stampfer <xref rid="bib61" ref-type="bibr">[61]</xref> concluded that there were no elevations among welders for neurodegenerative conditions. However, in this study, which did not account for a HWE, presenile dementia was marginally significantly elevated (above a baseline of 0.9) and deaths among welders due to other diseases of the basal ganglia were elevated by 16–25% but based on small numbers. A key issue in assessing welding as a risk factor for mortality, of course, is identifying the general health consequences of manganism at a moderate level of progression, possibly arrested by termination of exposure.</p></sec></sec><sec id="sec4"><label>4</label><title>Summary of neurobehavioral findings</title><p>The literature prior to 2000 documenting health effects in workers exposed to Mn in mining, ferroalloy production, welding, and manufacturing using standardized neuropsychological or neurobehavioral endpoints has been reviewed <xref rid="bib78" ref-type="bibr">[78]</xref>. More recent reviews include Antonini et al <xref rid="bib48" ref-type="bibr">[48]</xref>, Santamaria et al <xref rid="bib49" ref-type="bibr">[49]</xref>, McMillan <xref rid="bib79" ref-type="bibr">[79]</xref>, Zoni et al <xref rid="bib2" ref-type="bibr">[2]</xref>, and Greiffenstein and Lees-Haley <xref rid="bib80" ref-type="bibr">[80]</xref> (meta-analysis). The epidemiologic studies of Mn-exposed workers that address the association of Mn exposure with various health effects related to the nervous system, are displayed in <xref rid="tbl1" ref-type="table">Table 1</xref><xref rid="bib8 bib22 bib23 bib24 bib25 bib26 bib27 bib28 bib29 bib30 bib31 bib32 bib33 bib34 bib35 bib37 bib38 bib39 bib40 bib41 bib42 bib46 bib82 bib83 bib84" ref-type="bibr">[8,22–35,37–42,46,82–84]</xref>. Some studies focus on neurobehavioral test endpoints, others on symptoms, but many address both. The observed Mn exposure levels are often below 0.2 mg/m<sup>3</sup>.</p><p>Twenty-eight published reports have contrasted likely or definitely Mn-exposed workers with generally comparable groups of unexposed industrial workers (<xref rid="tbl2" ref-type="table">Table 2</xref>) <xref rid="bib8 bib22 bib23 bib24 bib25 bib26 bib27 bib28 bib29 bib30 bib31 bib32 bib33 bib34 bib35 bib37 bib42 bib46 bib58 bib59 bib67 bib68 bib81 bib82 bib83 bib84 bib85 bib86 bib87 bib88" ref-type="bibr">[8,22–35,37–42,46,58,59,67,68,81–88]</xref>. These reports use diverse outcomes, exposure assessments, and study designs, making them difficult to rank on weight of evidence; they are displayed here beginning with those having a continuous Mn exposure metric followed by those with categorical exposure classifications in order of diminishing number of exposure strata. Statistically significant performance deficits or symptom excesses among the Mn-exposed workers have been observed in almost all studies. In some cases the comparison groups may have had some significant past or current Mn exposure, which would diminish the estimated Mn-effect <xref rid="bib22 bib24 bib34 bib37 bib39 bib41 bib42 bib82" ref-type="bibr">[22,24,34,37,39,41,42,82]</xref>. Eleven of these studies observed statistically significant trends with continuous measures of Mn exposure or MnB using correlations, multiple regression, or logistic regression procedures. Seventeen studies relied on categorical comparisons, 11 with a binary contrast (exposed vs. unexposed groups) and six with tests of trend across Mn exposures classified into two or three levels based on duration of welding, estimated cumulative exposure, or current exposure level (<xref rid="tbl2" ref-type="table">Table 2</xref>).</p><p>Case-control and cross-sectional studies of workers exposed to Mn in several occupations have identified psychomotor and motor function effects as well as cognitive effects <xref rid="bib8 bib22 bib23 bib24 bib25 bib26 bib27 bib28 bib30 bib31 bib32 bib33 bib34 bib35 bib38 bib39 bib41 bib42 bib46 bib81 bib82 bib85" ref-type="bibr">[8,22–28,30–35,38,39,41,42,46,81,82,85]</xref>. These results are relatively consistent across all studies. The frequently observed findings on neurobehavioral test associations (e.g., finger tapping, eye-hand coordination, Digit Symbol, Digit Span, Santa Ana Dexterity) demonstrate that these deficits can be readily measured using standardized tests in these Mn-exposed populations. Although symptoms and deficits vary, common symptoms include headache, weakness, slowed movement, memory loss, sleep disturbance, irritability and anxiety disorders, loss of libido, and gait disturbance.</p><p>An exposure-response relationship was observed for subclinical neurobehavioral effects in several welder studies <xref rid="bib23 bib25 bib26 bib27 bib28 bib38 bib42 bib82" ref-type="bibr">[23,25–28,38,42,82]</xref> and also in nonwelder Mn-exposed workers <xref rid="bib8 bib29 bib31 bib32 bib33 bib46 bib81" ref-type="bibr">[8,29,31–33,46,81]</xref>. The association of these effects with Mn deposition as measured with MRI and the pallidal index in otherwise normal industrial populations <xref rid="bib25" ref-type="bibr">[25]</xref> adds further support that these are associated with Mn exposure.</p><p>Motor effects were identified using neurobehavioral tests in 25 reports, including tests of simple reaction time, eye-hand coordination including Santa Ana dexterity, Finger Tapping, pursuit and the Luria motor tests, and measures of tremor and sway (<xref rid="tbl2" ref-type="table">Table 2</xref>). Cognitive effects were reported in 19 studies, including 10 using the standardized Digit Symbol and Digit Span tests. Of the 28 studies reporting an association between occupational exposure to Mn and neurobehavioral deficits or symptoms/signs of parkinsonism, 14 involved welders and nine involved high-temperature metallurgical processes producing a plausibly similar respirable Mn-containing fume.</p><p>One published study with individual Mn exposure data and a comparable comparison group of unexposed workers failed to observe statistically significant deficits in neurobehavioral performance <xref rid="bib83" ref-type="bibr">[83]</xref>. A slowing in median reaction time was significantly associated with age but nonsignificantly associated with cumulative Mn exposures over the past month, year, or lifetime. The Mn exposures in that study were quite low and mostly nonrespirable (mean total = 0.18 mg Mn/m<sup>3</sup>; mean respirable = 0.066 mg Mn/m<sup>3</sup>), and possibly negatively confounded by shift work (the comparison population had more shift work, observed by these investigators to be associated with neurobehavioral deficits).</p><sec id="sec4.1"><label>4.1</label><title>Study limitations</title><p>There are limitations in many of the etiologic studies on welders and other occupations exposed to Mn. Most are cross-sectional in design and thus are vulnerable to survivor bias (e.g., workers with developing symptoms and deficits more likely to leave employment). Some studies with external reference populations exhibited HWE bias. Methodological details are sometimes lacking, particularly on the selection and participation of study populations; past exposures and work histories were not usually known and in many cases there is limited information on current exposures. In studies where exposure response was estimated, study limitations such as HWE, survivor bias, or exposure misclassification would be unlikely to cause false associations and would cause underestimation of true associations and exposure response.</p></sec><sec id="sec4.2"><label>4.2</label><title>Confounding exposures</title><p>Confounding exposures may exist during welding or furnace operations, such as carbon monoxide (CO), aluminum, Pb, and heat stress, all of which could affect neurobehavioral performance in cross-sectional research <xref rid="bib12" ref-type="bibr">[12]</xref>. CO is a neurotoxicant at very high levels, as in acute CO poisoning cases. In a series of 65 cases of severe CO poisoning, frequently resulting in loss of consciousness or coma, one or more signs or symptoms of parkinsonism were present in 80% of cases, typically developing days or weeks after recovery from coma <xref rid="bib89" ref-type="bibr">[89]</xref>. In a series of eight patients evaluated at a Baltimore hyperbaric oxygen treatment center for chronic CO poisoning, usually caused by defective appliances, nervous system deficits were very evident but at least partially reversible <xref rid="bib90" ref-type="bibr">[90]</xref>. Sustained exposures at levels exceeding 200 ppm were suspected but not documented. Symptoms associated with CO exposure concentrations of 100–200 ppm include headache, nausea, and mental impairment <xref rid="bib91" ref-type="bibr">[91]</xref>. However, CO in most welding and other Mn environments is not generally elevated above levels commonly present in industry (e.g., 25 ppm). Park et al <xref rid="bib67" ref-type="bibr">[67]</xref> reported that peak values for continuously monitored CO levels in bridge welders working in confined spaces were below 20 ppm in almost all intervals. In a study of Taiwanese smelter workers where substantial neurological impairment was observed, the average CO levels at the offending furnace were 25–60 ppm, including levels at the top of the furnace where exposures were brief <xref rid="bib41" ref-type="bibr">[41]</xref>. Other metals with known or potential neurotoxic effects such as Pb, copper, cadmium, and aluminum are usually absent in mild or stainless steel welding activities with Mn exposures. One of the 25 studies with positive findings reported possible confounding by lead but blood levels were low (geometric mean = 11.7 μg/dL Pb) <xref rid="bib42" ref-type="bibr">[42]</xref>. Thus, other metal and especially CO exposures are unlikely to be conferring important confounding bias in the Mn studies discussed here.</p></sec></sec><sec id="sec5"><label>5</label><title>Contrarian reviews</title><p>Greiffenstein and Lees-Haley <xref rid="bib80" ref-type="bibr">[80]</xref> conducted a meta-analysis of 19 studies examining Mn and neuropsychological effects in the published literature, based on the following assumptions or meta-analytic procedures: (1) setting to null rather than excluding any effect not statistically significant that was lacking sufficient statistical detail to calculate an effect size (four studies; the goal of meta-analyses is to statistically combine effects with known uncertainty); (2) discounting associations with an effect size smaller than that of the potential confounder, education (years), in comparing exposed versus unexposed workers (a severe restriction); (3) using as few as two studies in the meta-analyses for specific outcomes, usually less than five (14 outcomes out of 26), and never more than 10; (4) assuming homogeneity of exposure attributes and of time courses of exposures across studies; (5) excluding analyses relying on internal comparisons, e.g., with continuous exposure classification; and (6) disregarding issues of reversibility or adaptive changes. Using this approach a meta-analytic summary of the diverse studies analyzed could be uninformative. Even with these restrictions, 15 of 26 tests meta-analyzed showed statistically significant summary effects sizes with Digit Span having the strongest association. Nonetheless the authors conclude that “the data did not support a theory of preclinical (‘early’) neuromotor or cognitive dysfunction.”</p><p>Santamaria et al <xref rid="bib49" ref-type="bibr">[49]</xref> reviewed the available literature on case reports and epidemiologic investigations of welders. They concluded that although manganism has been observed in highly exposed workers, the “weight of evidence to date is not sufficient to conclude that welders are at an increased risk of neurotoxicity from exposure to Mn during the welding process.” Their review did not acknowledge limitations in the reportedly negative studies of Myers et al <xref rid="bib46" ref-type="bibr">[46]</xref>, Fryzek et al <xref rid="bib75" ref-type="bibr">[75]</xref>, and Fored et al <xref rid="bib76" ref-type="bibr">[76]</xref>, or point out the evidence of positive effects in those studies; it did not examine the central issue of Mn associations with non-PD parkinsonism. Santamaria et al <xref rid="bib49" ref-type="bibr">[49]</xref> misidentified some of the populations being studied by Bowler et al <xref rid="bib47" ref-type="bibr">[47]</xref>: these populations had no connection with the bridge welders <xref rid="bib27 bib36 bib67" ref-type="bibr">[27,36,67]</xref>. Although authors of the various studies reporting positive findings discussed limitations in these studies, the reviewers made no attempt to assess the likely impact on inferences drawn. Santamaria et al <xref rid="bib49" ref-type="bibr">[49]</xref> did not focus on the subset of studies with adequate comparison populations and reasonable exposure assessment. The medical significance or importance of subclinical findings was not addressed. These critiques do not rise to the level of serious challenge to the association of parkinsonism with Mn exposures currently present in specific industries.</p></sec><sec id="sec6"><label>6</label><title>Significance of Mn-attributable deficits</title><p>The history of Pb exposure is illuminating. Initial concerns focused on severe Pb poisoning resulting from high Pb exposure levels, whereas current concerns are for chronic low-level effects and multiple endpoints <xref rid="bib92" ref-type="bibr">[92]</xref>. Pb is now widely recognized as both an environmental and occupational hazard requiring detailed regulation. With advancing research, recommended allowable exposure levels continue to decline. <xref rid="bib93 bib94" ref-type="bibr">[93,94]</xref> Progress in understanding the long-term Pb hazard has been driven by neurobehavioral outcomes, especially cognitive, and has been aided by development of sensitive measures of past exposure. For example X-ray fluorescence (XRF) from bone (tibia) provides a superior measure of cumulative Pb exposure over blood levels reflecting more recent exposures. <xref rid="bib95" ref-type="bibr">[95]</xref></p><p>The approximate potency of Mn relative to the neurotoxic metals, Pb and Hg, can be inferred from published studies. In an extensive study of 543 former workers from a plant manufacturing tetraethyl lead, average air concentrations were 62 μg/m<sup>3</sup> Pb <xref rid="bib96" ref-type="bibr">[96]</xref>. The mean tibial lead current in 1990 was 14.4 μg/g and the tibial level estimated for the date last exposed (“peak” level) was 23.7 μg/g <xref rid="bib97" ref-type="bibr">[97]</xref>. Statistically significant decrements in performance on a variety of neurobehavioral tests were associated with tibial lead (current and peak), such as for vocabulary, memory, finger-tapping, Purdue pegboard, and the Stroop test.<sup>93</sup> In a population-based sample from Baltimore, MD, USA, where the current tibial lead level averaged 18.8 μg/g, persistent deficits in eye-hand coordination, executive functioning, and verbal memory and learning were associated with tibial lead levels <xref rid="bib98" ref-type="bibr">[98]</xref>. A Finnish population of chloralkali workers with average mercury exposures of 25 μg/m<sup>3</sup> was compared with wood-processing workers <xref rid="bib99" ref-type="bibr">[99]</xref>. Increased symptoms of sleep disorders, fatigue, and confusion were reported by the chloralkali workers and there was a nonsignificant possible effect of shift work. The chloralkali workers performed significantly better on a test of eye-hand coordination, suggesting that the comparison group may not have been appropriate (e.g., possible musculoskeletal injury). A group of 98 dentists in Singapore, estimated to have average Hg exposures of 16.7 μg/m<sup>3</sup>, was compared to university staff with no known Hg exposure. Statistically significant performance deficits were associated with cumulative exposure for 15 of 24 tests including finger tapping, symbol-digit, digit span, visual recall, and logical memory <xref rid="bib100" ref-type="bibr">[100]</xref>. When compared to workers from an embroidery plant, 88 fluorescent lamp manufacturing workers in China with an average mercury exposure of 33 μg/m<sup>3</sup> had significantly worse performance on finger tapping, mental arithmetic, two-digit searches, switching attention, and visual reaction time. <xref rid="bib101" ref-type="bibr">[101]</xref> Thus, the neurobehavioral effects observed in working populations at air concentrations of perhaps 60 μg/m<sup>3</sup> Pb or 17–33 μg/m<sup>3</sup> Hg are roughly comparable to effects reported in Mn populations exposed in the range of 50–500 μg/m<sup>3</sup> Mn (<xref rid="tbl1" ref-type="table">Table 1</xref>).</p><p>A direct comparison of findings from studies of different neurotoxic metals is difficult because: (1) the sets of neurobehavioral tests used vary widely, (2) details on test scoring are not always provided, and (3) exposure history is often poorly described. In the case of Pb, outcomes are commonly presented as z-scores, not actual test means, and biomarkers of exposure based on bone or blood are often used as predictors rather than environmental levels; however, some published studies provide an estimate of average cumulative blood Pb concentration. Diverse test results can be crudely compared by calculating a fractional change in score per mg/m<sup>3</sup>-year of exposure (corresponding to 5 year at 0.2 mg/m<sup>3</sup>) or, in the case of Pb, per 250 μg/dL-yr (corresponding to 5 year at 50 μg/dL Pb in blood). Fractional change, here, is defined as the difference in mean score comparing an exposed and unexposed group, divided by the unexposed group mean and by the average cumulative exposure for the exposed group. The distributions of fractional scores across neurobehavioral outcomes do not markedly differ among Hg, Pb, and Mn; fractional scores for the three metals are within a factor of 10 (<xref rid="tbl3" ref-type="table">Table 3</xref>) <xref rid="bib23 bib26 bib28 bib30 bib31 bib33 bib81 bib87 bib88 bib99 bib99 bib100 bib101 bib102 bib103 bib104 bib105" ref-type="bibr">[23,26,28,30,31,33,81,87,88,97,99–105]</xref>. For all three metals, another source of variability in this table is the source or form of the exposure. In the case of Mn, both welding and electric furnaces are contributing. For Hg and Pb, both organic and inorganic forms are analyzed. This comparison assumes a linear exposure response that is particularly suspect for a substance such as Mn under homeostatic regulation.</p><p>Based on published work, including the 28 studies reporting neurobehavioral effects associated with exposure, Mn should be included in the group of substances including Pb, organic and inorganic Hg, and solvent mixtures associated with consistent patterns of neurobehavioral effects <xref rid="bib10 bib12 bib106" ref-type="bibr">[10,12,106]</xref>. Alessio et al <xref rid="bib106" ref-type="bibr">[106]</xref> reviewed the neurobehavioral effects of long-term exposure to low-level Mn, Pb, and Hg, recommending precautionary measures to prevent more severe health effects in the population. Martin <xref rid="bib107" ref-type="bibr">[107]</xref> concluded that further investigation is needed but current neuropsychological and clinical evidence justifies preventive action to reduce the adverse effects of Mn exposure.</p><p>Support for this conclusion is not universal. This may in part reflect the dichotomy between the conflicting demands of individual clinical evaluation and public health population-inference and prevention. Clinical decision-making is typically based on a single individual (worker) with little or no knowledge of coworker status. Population studies have the benefit of potentially detailed simultaneous assessment of multiple risk factors, including exposure history, and sensitive testing procedures. Important deficits that are readily discernible at the population level disappear into the fog of normal variability at the individual level.</p></sec><sec sec-type="discussion" id="sec7"><label>7</label><title>Discussion</title><p>The available weight of evidence supports the following conclusions:<list list-type="simple"><list-item id="o0010"><label>(1)</label><p>Neurobehavioral changes, such as performance decrements on standardized neuropsychological tests and adverse symptoms, have been consistently reported in studies of welders and other workers with known or likely sustained exposures to respirable Mn. Workers with these Mn exposures are at risk for developing neurological effects.</p></list-item><list-item id="o0015"><label>(2)</label><p>These effects are consistent with signs of early manganism.</p></list-item><list-item id="o0020"><label>(3)</label><p>Although some research has suggested that Mn exposures confer increased risk of PD (which might include accelerated onset or detection), and may perturb dopamine metabolism, this has not yet been established.</p></list-item><list-item id="o0025"><label>(4)</label><p>Statistically significant adverse neurobehavioral effects have been reported at airborne concentrations below 0.2 mg/m<sup>3</sup> Mn. <xref rid="bib24 bib26 bib27 bib28 bib31 bib33" ref-type="bibr">[24,26–28,31,33]</xref></p></list-item></list></p><p>The development of regulations to limit Mn exposures for neurobehavioral effects would coordinate well with other regulatory health objectives. For example, in stainless steel welding, which typically entails Mn exposures, hexavalent chromium exposures also need to be controlled (for lung cancer risk), and in most welding there are often surface coatings or contaminants that are pyrolyzed and aerosolized with anticipated adverse effects. 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Firestone, Kathleen MacMahon, Bonita Malit, Christine Sofge, Caroline M. Tanner, Ralph Zumwalde, and anonymous journal reviewers.</p></ack><fn-group><fn id="d32e2228"><p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0" id="intref0010">http://creativecommons.org/licenses/by-nc/3.0</ext-link>) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></fn></fn-group></back><floats-group><table-wrap id="tbl1" position="float"><label>Table 1</label><caption><p>Manganese study populations with neurobehavioral effects: Mean airborne exposure concentrations (in chronological order)</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2">Study</th><th rowspan="2">Work</th><th rowspan="2"><italic>n</italic></th><th colspan="3">Total Mn, mg/m<sup>3</sup><hr></hr></th></tr><tr><th>am</th><th>gm (med)</th><th>Range/SD</th></tr></thead><tbody><tr><td>Roels et al 1987 <xref rid="bib8" ref-type="bibr">[8]</xref></td><td>MnO/salts pdn</td><td align="char">141</td><td align="char">1.33</td><td align="char">0.94</td><td>0.07–8.61</td></tr><tr><td rowspan="3">Wang et al 1989 <xref rid="bib41" ref-type="bibr">[41]</xref></td><td rowspan="3">Ferroalloy</td><td align="char">68</td><td>–</td><td>–</td><td>0.10</td></tr><tr><td align="char">24</td><td></td><td></td><td>0.50–1.50</td></tr><tr><td align="char">8<xref rid="tbl1fna" ref-type="table-fn">∗</xref></td><td></td><td></td><td>28.8<xref rid="tbl1fna" ref-type="table-fn">∗</xref></td></tr><tr><td>Iregren 1990 <xref rid="bib81" ref-type="bibr">[81]</xref></td><td>Foundry</td><td align="char">30</td><td align="char">0.25<xref rid="tbl1fnb" ref-type="table-fn">†</xref></td><td align="char">(0.14)</td><td>0.02–1.40</td></tr><tr><td>Sjogren et al 1990 <xref rid="bib82" ref-type="bibr">[82]</xref></td><td>Welding</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Roels et al 1992 <xref rid="bib29" ref-type="bibr">[29]</xref></td><td>MnO/battery</td><td align="char">92</td><td align="char">1.78</td><td align="char">0.95</td><td>0.05–10.8</td></tr><tr><td>Chia et al 1993 <xref rid="bib34" ref-type="bibr">[34]</xref></td><td>Ore crushing</td><td>–</td><td align="char">0.70</td><td>–</td><td>–</td></tr><tr><td>Mergler et al 1994 <xref rid="bib30" ref-type="bibr">[30]</xref> Bouchard et al 2007 <xref rid="bib40" ref-type="bibr">[40]</xref></td><td>Ferro/silico Mn</td><td align="char">115</td><td align="char">1.19</td><td align="char">0.23</td><td>1.05<xref rid="tbl1fnc" ref-type="table-fn">‡</xref></td></tr><tr><td>Kim et al 1994 <xref rid="bib39" ref-type="bibr">[39]</xref></td><td>Ferroalloy</td><td align="char">90</td><td>–</td><td align="char">0.60</td><td>2.3<xref rid="tbl1fnd" ref-type="table-fn">§</xref></td></tr><tr><td>Chia et al 1995 <xref rid="bib35" ref-type="bibr">[35]</xref></td><td>Ore crushing</td><td></td><td align="char">1.59</td><td>–</td><td>–</td></tr><tr><td rowspan="3">Lucchini et al 1995 <xref rid="bib31" ref-type="bibr">[31]</xref></td><td>Ferroalloy</td><td></td><td></td><td></td><td></td></tr><tr><td><list list-type="simple"><list-item id="u0010"><label>-</label><p>Med</p></list-item></list></td><td align="char">19</td><td>–</td><td align="char">0.12</td><td>0.07–0.62</td></tr><tr><td><list list-type="simple"><list-item id="u0015"><label>-</label><p>High</p></list-item></list></td><td align="char">20</td><td></td><td align="char">0.27</td><td>0.12–0.65</td></tr><tr><td>Sjogren et al 1996 <xref rid="bib22" ref-type="bibr">[22]</xref></td><td>Welding</td><td align="char">68</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Lucchini et al 1997 <xref rid="bib32" ref-type="bibr">[32]</xref></td><td>Ferroalloy</td><td align="char">35</td><td>–</td><td align="char">(0.44)</td><td>0.26–0.75</td></tr><tr><td>Lucchini et al 1999 <xref rid="bib33" ref-type="bibr">[33]</xref></td><td>Ferroalloy</td><td align="char">61</td><td align="char">0.18</td><td align="char">0.05</td><td>0.01–1.49</td></tr><tr><td>Gibbs et al 1999 <xref rid="bib83" ref-type="bibr">[83]</xref></td><td>Electrolytic Mn</td><td align="char">75</td><td align="char">0.18<xref rid="tbl1fnb" ref-type="table-fn">†</xref></td><td align="char">0.11</td><td>–</td></tr><tr><td>Jin et al 1999 <xref rid="bib38" ref-type="bibr">[38]</xref></td><td>Welding</td><td></td><td align="char">2.10<xref rid="tbl1fnb" ref-type="table-fn">†</xref></td><td>–</td><td>0.005-9.3</td></tr><tr><td rowspan="2">Kim et al 1999 <xref rid="bib23" ref-type="bibr">[23]</xref></td><td rowspan="2">Welding</td><td align="char">23</td><td>–</td><td>–</td><td>0.01–0.10</td></tr><tr><td align="char">76</td><td></td><td></td><td>>0.10</td></tr><tr><td>Moon et al 1999 <xref rid="bib24" ref-type="bibr">[24]</xref></td><td>Welding</td><td align="char">60</td><td align="char">0.17</td><td align="char">0.15</td><td>1.7<xref rid="tbl1fnd" ref-type="table-fn">§</xref></td></tr><tr><td>Deschamps et al 2001 <xref rid="bib37" ref-type="bibr">[37]</xref></td><td>Pigments</td><td align="char">139</td><td align="char">2.05</td><td>–</td><td>0.50–10.2</td></tr><tr><td>Sinczuk-Walczal et al 2001 <xref rid="bib84" ref-type="bibr">[84]</xref></td><td>Battery welding</td><td align="char">75</td><td align="char">0.39</td><td align="char">0.15</td><td>0.54</td></tr><tr><td>Myers et al 2003 <xref rid="bib46" ref-type="bibr">[46]</xref></td><td>Ferroalloy</td><td align="char">509</td><td align="char">0.82<xref rid="tbl1fnb" ref-type="table-fn">†</xref></td><td>–</td><td>1.04</td></tr><tr><td>Beuter et al 2004 <xref rid="bib85" ref-type="bibr">[85]</xref></td><td>Ferroalloy</td><td align="char">10</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Kim et al 2005 <xref rid="bib25" ref-type="bibr">[25]</xref></td><td>Welding (auto, steel, ship) smelter welding rod mfr</td><td align="char">111</td><td>–</td><td align="char">0.50</td><td>3.7<xref rid="tbl1fnd" ref-type="table-fn">§</xref></td></tr><tr><td>Yuan et al 2006 <xref rid="bib26" ref-type="bibr">[26]</xref></td><td>Welding (machine manufacturing)</td><td align="char">68</td><td align="char">0.14</td><td>–</td><td>0.04–0.20</td></tr><tr><td>Wang et al 2006 <xref rid="bib42" ref-type="bibr">[42]</xref></td><td>Welding</td><td align="char">82</td><td align="char">0.25</td><td>–</td><td>0.10–0.50</td></tr><tr><td>Bowler et al 2007 <xref rid="bib27" ref-type="bibr">[27]</xref></td><td>Welding (bridge)</td><td align="char">48</td><td align="char">0.19</td><td align="char">0.14</td><td>2.3<xref rid="tbl1fnd" ref-type="table-fn">§</xref></td></tr><tr><td>Ellingsen et al 2008 <xref rid="bib28" ref-type="bibr">[28]</xref></td><td>Welding</td><td align="char">96</td><td>–</td><td align="char">0.12</td><td>0.007–2.3</td></tr></tbody></table><table-wrap-foot><fn><p>am, arithmetic mean; gm, geometric mean; med, median; SD, standard deviation.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl1fna"><label>∗</label><p>Exposures of 30 min. per day during electrode maintenance.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl1fnb"><label>†</label><p>Inhalable dust.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl1fnc"><label>‡</label><p>75th percentile.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl1fnd"><label>§</label><p>Geometric SD.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl2" position="float"><label>Table 2</label><caption><p>Summary of investigations observing statistically significant associations between Mn exposure status and motor, cognitive, or symptom outcomes (in order of type of exposure response and year of publication)</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Study/work</th><th>n</th><th>P</th><th>I</th><th>M</th><th>C</th><th>D</th><th>R</th><th>Hand-eye coordination, motor/postural</th><th>Cognitive, mood, autonomic/other</th><th>Symptom</th><th>Exposure response</th></tr></thead><tbody><tr><td colspan="12"><italic>Continuous exposure metric</italic></td></tr><tr><td>Roels et al, 1987 <xref rid="bib8" ref-type="bibr">[8]</xref> MnO/Mn salts pdn</td><td align="char">141</td><td>Ch</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>Eye-hand coordinationHand steadinessSimple ReactionTimeTremor (fingers)Rigidity (neck, trunk)</td><td></td><td>FatigueIrritability</td><td>CONT; CAT[2]</td></tr><tr><td>Roels et al, 1992 <xref rid="bib29" ref-type="bibr">[29]</xref> MnO/battery</td><td align="char">92</td><td>Mf</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>Eye-hand coordinationHand steadinessVisual ReactionTimeTremors</td><td></td><td></td><td>CONT; CAT[4]</td></tr><tr><td>Lucchini et al, 1995 <xref rid="bib31" ref-type="bibr">[31]</xref> ferroalloy</td><td align="char">1920</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>Finger Tapping</td><td>AdditionSymbol DigitDigit Span</td><td></td><td>CONT; CAT[3]</td></tr><tr><td>Lucchini et al, 1997 <xref rid="bib32" ref-type="bibr">[32]</xref> ferroalloy</td><td align="char">35</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>Aiming Pursuit II</td><td></td><td></td><td>CONT; CAT[2] (increased olfactory acuity with inc. Mn(U))</td></tr><tr><td>Sinczuk-Walczal et al, 2001 <xref rid="bib84" ref-type="bibr">[84]</xref> battery/welding</td><td align="char">75</td><td>Wl</td><td>1</td><td>0</td><td>0</td><td>0</td><td>1</td><td></td><td></td><td>IrritabilityParesthesiaSleepiness</td><td>CONT; CAT[2]</td></tr><tr><td>Myers et al, 2003 <xref rid="bib46" ref-type="bibr">[46]</xref> ferroalloy</td><td align="char">509</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>Santa AnaDexterity</td><td>Digit SymbolDigit SpanBenton VisualRetention</td><td></td><td>CONT; CAT[3]</td></tr><tr><td>Kim et al, 2005 <xref rid="bib25" ref-type="bibr">[25]</xref> welding (mfr), smelter, welding rod mfr</td><td align="char">111</td><td>WlMf</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>Factor: psychomotor</td><td>Factor: affect, factor: attention-memory</td><td></td><td>CONT (structural equation model)</td></tr><tr><td>Wang et al, 2006 <xref rid="bib42" ref-type="bibr">[42]</xref> welding</td><td></td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>Simple ReactionTime</td><td>Digit Span total, forward, backward</td><td>Anger-hostilityFatigue-inertia HeadacheDizzinessConcentrationWeakness</td><td>CONT; CAT[2] (Pb confounded)</td></tr><tr><td>Park et al, 2006 <xref rid="bib67" ref-type="bibr">[67]</xref>Park et al, 2009 <xref rid="bib86" ref-type="bibr">[86]</xref> welding</td><td align="char">4844</td><td>Wl</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td></td><td>Working MemoryIndexVerbal IQStroop Color-word</td><td></td><td>CONT (duplicates Bowler, 2007)</td></tr><tr><td>Bowler et al, 2007 <xref rid="bib27" ref-type="bibr">[27]</xref> welding</td><td align="char">43</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>0</td><td>1</td><td>Tremors</td><td>Executive functionVerbal learningWorking memoryConcentration and sequencingImmediate memory</td><td>FatigueSleep disturbanceDepressionAnxietyNumbness</td><td>CONT; CAT[2]</td></tr><tr><td>Ellingsen et al, 2008 <xref rid="bib28" ref-type="bibr">[28]</xref> welding (shipyard, heavy machinery)</td><td></td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>Finger Tapping</td><td>Digit Symbol</td><td>NCTB Q16</td><td>CONT; CAT[2]</td></tr><tr><td>Wastensson et al, 2011 <xref rid="bib87" ref-type="bibr">[87]</xref></td><td align="char">17</td><td>Wl</td><td>1</td><td>1</td><td>0</td><td>0</td><td>1</td><td>Pegboard</td><td></td><td></td><td>CONT; CAT[2]</td></tr><tr><td colspan="12"><italic>Categorical exposure metric in four levels</italic></td></tr><tr><td>Wang et al, 1989 <xref rid="bib41" ref-type="bibr">[41]</xref> ferroalloy</td><td align="char">68248</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>BradykinesiaRigidityGait abnormalityWeakness</td><td>Dislike of talking</td><td>FatigueLoss of libido</td><td>CAT[4]</td></tr><tr><td>Sjogren et al, 1990 <xref rid="bib82" ref-type="bibr">[82]</xref> welding</td><td>–</td><td>Wl</td><td>1</td><td>0</td><td>1</td><td>0</td><td>0</td><td></td><td></td><td>NCTB Q16: nervous system symptoms</td><td>CAT[4]</td></tr><tr><td>Mergler et al, 1994 <xref rid="bib30" ref-type="bibr">[30]</xref> Bouchard et al, 2007 <xref rid="bib40" ref-type="bibr">[40]</xref> ferro/silico Mn</td><td align="char">38</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>Luria Total ScoreFinger TappingGraphomotor NineHole Steadiness</td><td>Profuse sweating Memory loss</td><td>AgitationAnxietyFatigueNightmarePOMS <xref rid="bib11" ref-type="bibr">[11]</xref></td><td>CAT[2] (matched)CAT[4] (matched)</td></tr><tr><td>Jin et al, 1999 <xref rid="bib38" ref-type="bibr">[38]</xref> welding</td><td>na</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>Pursuit AimingFinger Tapping Santa AnaDexterity</td><td>Inability to concentrate</td><td>Muscle symptomsNeurological symptoms</td><td>CAT[4]</td></tr><tr><td>Lucchini et al, 1999 <xref rid="bib33" ref-type="bibr">[33]</xref> ferroalloy</td><td align="char">61</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Finger Tapping disequilibria tremors</td><td>AdditionDigit SymbolDigit Span</td><td>Irritability</td><td>CAT[4]</td></tr><tr><td colspan="12"><italic>Categorical exposure metric in three levels</italic></td></tr><tr><td>Kim et al, 1999 <xref rid="bib23" ref-type="bibr">[23]</xref> welding</td><td align="char">2376</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Pursuit AimingFinger Tapping, Santa AnaDexterity</td><td>Digit SymbolDigit Span</td><td></td><td>CAT[3]</td></tr><tr><td>Park et al, 2006 <xref rid="bib58" ref-type="bibr">[58]</xref> welding</td><td></td><td>Wl</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td></td><td>Parkinson disease, parkinsonism</td><td></td><td>CAT[3] (vicarious finding<xref rid="tbl2fna" ref-type="table-fn">∗</xref>)</td></tr><tr><td colspan="12"><italic>Categorical exposure metric in two levels</italic></td></tr><tr><td>Iregren, 1990 <xref rid="bib81" ref-type="bibr">[81]</xref> foundry</td><td align="char">30</td><td>Fe</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Finger TappingSimple ReactionTime</td><td>Digit Span</td><td></td><td>CAT[2]</td></tr><tr><td>Chia et al, 1993 <xref rid="bib34" ref-type="bibr">[34]</xref> ore crushing</td><td>–</td><td>Or</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Pursuit Aiming</td><td>Benton VisualRetentionDigit Symbol</td><td>20 of 37 adverse symptoms insomnia</td><td>CAT[2] (motor speed, visual scanning, visuomotor performances)</td></tr><tr><td>Kim et al, 1994 <xref rid="bib39" ref-type="bibr">[39]</xref> ferroalloy</td><td align="char">1454990</td><td>Fe</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>Difficulty writing</td><td></td><td>Reduced libido</td><td>CAT[2,2]</td></tr><tr><td>Chia et al, 1995 <xref rid="bib35" ref-type="bibr">[35]</xref> ore crushing</td><td>–</td><td>Or</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>Postural sway (eyes closed)</td><td></td><td></td><td>CAT[2] (two postural stability parameters)</td></tr><tr><td>Sjogren et al, 1996 <xref rid="bib22" ref-type="bibr">[22]</xref> welding</td><td align="char">68</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>Finger TappingPegboardLuria Nebraska (items 2, 22)</td><td>NCTB Q16: inability to concentrate memory loss</td><td>NCTB Q16: depression</td><td>CAT[2]</td></tr><tr><td>Moon et al, 1999 <xref rid="bib24" ref-type="bibr">[24]</xref> welding</td><td align="char">60</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>0</td><td>0</td><td>TremorsGait disturbance</td><td>AmnesiaGeneral weaknessSpeech disturbance</td><td></td><td>CAT[2]</td></tr><tr><td>Gibbs et al, 1999 <xref rid="bib83" ref-type="bibr">[83]</xref> electrolytic Mn</td><td align="char">75</td><td>Ch</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>Reaction timeGait disturbance</td><td>Memory loss</td><td>Sleep disturbance</td><td>CAT[2]; CONT (no effects on individual measures but 5/7 show nonsignificant deficits)</td></tr><tr><td>Deschamps et al, 2001 <xref rid="bib37" ref-type="bibr">[37]</xref> pigments</td><td align="char">30</td><td>Ch</td><td>1</td><td>0</td><td>0</td><td>0</td><td>0</td><td>Asthenia</td><td></td><td>HeadacheSleep disturbance</td><td>CAT[2]</td></tr><tr><td>Beuter et al, 2004 <xref rid="bib85" ref-type="bibr">[85]</xref> ferroalloy</td><td align="char">10</td><td>Fe</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>Postural tremor</td><td></td><td></td><td>CAT[2] (tremor parameters)</td></tr><tr><td>Yuan et al, 2006 <xref rid="bib26" ref-type="bibr">[26]</xref> welding (machine mfr)</td><td align="char">68</td><td>WlMf</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Pursuit Aiming reaction time (improved)</td><td>Digit SpanDigit Symbol</td><td>Depression-dejectionTension-anxietyVigor-activityFatigue-inertia</td><td>CAT[2]</td></tr><tr><td>Marsh et al, 2006 <xref rid="bib59" ref-type="bibr">[59]</xref> heavy equip mfr</td><td></td><td>Wl</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td></td><td>Parkinson's disease, parkinsonism</td><td></td><td>CAT[2] (vicarious finding<xref rid="tbl2fna" ref-type="table-fn">∗</xref>)</td></tr><tr><td>Chang et al, 2009 <xref rid="bib88" ref-type="bibr">[88]</xref> ship building</td><td align="char">43</td><td>Wl</td><td>1</td><td>1</td><td>1</td><td>1</td><td>0</td><td>Finger TappingPegboard tremorsHand coordination</td><td>Digit SymbolDigit SpanStroopComplex figure</td><td></td><td>CAT[2] ; CONT (on pallidal index)</td></tr><tr><td>Sanchez-Ramos et al, 2011 <xref rid="bib68" ref-type="bibr">[68]</xref> welding: shipyard, refinery</td><td align="char">37</td><td>Wl</td><td>1</td><td>1</td><td>0</td><td>0</td><td>0</td><td>Tremors</td><td></td><td></td><td>CAT[2]</td></tr><tr><td colspan="12">
</td></tr><tr><td>TOTALS</td><td></td><td></td><td>28</td><td>25</td><td>19</td><td>10</td><td>11</td><td></td><td></td><td></td><td></td></tr></tbody></table><table-wrap-foot><fn><p>C, cognitive outcomes (1 = yes, 0 = no); Ch, chemical; D, Digit Symbol/Digit Span deficits (1 = yes, 0 = no); Exposure response, a reasonably well-designed comparison, using either continuous (CONT) or categorical [CAT (levels)] models of exposure response; Fe, ferroalloy; I, Include as positive study (1 = yes, 0 = no); M, motor outcomes (1 = yes, 0 = no); Mf, manufacturing; n, size of study group; NCTB, Neurobehavioral Core Test Battery, developed by WHO, with symptom questionnaire (Q16); Or, ore processing; P, Process; POMS, Profile of Mood States; R, continuous exposure metric showing exposure response (X-R) (1 = yes, 0 = no); Wl, welding.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl2fna"><label>∗</label><p>Proposed interpretation of published data regarding parkinsonism other than Parkinson's disease.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tbl3" position="float"><label>Table 3</label><caption><p>Comparison of adverse neurobehavioral effect magnitudes for neurotoxic metals: fractional score change<xref rid="tbl3fna" ref-type="table-fn">∗</xref></p></caption><table frame="hsides" rules="groups"><thead><tr><th>Study</th><th>Finger tapping</th><th>Symbol digit</th><th>Digit symbol</th><th>Digit span</th><th>Peg board</th><th>Trail-B</th><th>Hand steadiness</th><th>Santa ana</th><th>Wisconsin total error</th></tr></thead><tbody><tr><td colspan="10">Mercury (per mg/m<sup>3</sup>-yr of cumulative exposure)</td></tr><tr><td>Ngim et al, 1992 <xref rid="bib100" ref-type="bibr">[100]</xref></td><td align="char">0.291</td><td align="char">0.582</td><td>–</td><td align="char">0.885</td><td align="char">0.185</td><td align="char">1.277</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Liang et al, 1993 <xref rid="bib101" ref-type="bibr">[101]</xref></td><td align="char">0.146</td><td align="char">0.431</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Piikivi et al, 1989 <xref rid="bib99" ref-type="bibr">[99]</xref></td><td align="char">0.096</td><td align="char">0.188</td><td>–</td><td align="char">0.127</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td colspan="10">Lead (per measures based on bone/blood lead)</td></tr><tr><td>Stewart et al, 1999 <xref rid="bib97" ref-type="bibr">[97]</xref><xref rid="tbl3fnb" ref-type="table-fn">†</xref></td><td align="char">0.029</td><td align="char">0.024</td><td>–</td><td align="char">0.052</td><td align="char">0.017</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Chia et al, 1997 <xref rid="bib102" ref-type="bibr">[102]</xref><xref rid="tbl3fnc" ref-type="table-fn">‡</xref></td><td>–</td><td>–</td><td align="char">0.244</td><td>–</td><td align="char">0.159</td><td align="char">0.496</td><td>–</td><td align="char">0.089</td><td>–</td></tr><tr><td>Barth et al, 2002 <xref rid="bib103" ref-type="bibr">[103]</xref><xref rid="tbl3fnc" ref-type="table-fn">‡</xref></td><td>–</td><td>–</td><td align="char">0.025</td><td>–</td><td>–</td><td>–</td><td>–</td><td></td><td align="char">0.307</td></tr><tr><td>Lindgren et al, 1996 <xref rid="bib104" ref-type="bibr">[104]</xref><xref rid="tbl3fnd" ref-type="table-fn">§</xref></td><td align="char">0.018</td><td></td><td align="char">0.022</td><td align="char">0.036</td><td align="char">0.016</td><td align="char">0.065</td><td>–</td><td>–</td><td>–</td></tr><tr><td colspan="10">Manganese (per mg/m<sup>3</sup>-y of cumulative exposure)</td></tr><tr><td>Lucchini et al, 1995 <xref rid="bib31" ref-type="bibr">[31]</xref></td><td align="char">0.095</td><td align="char">0.374</td><td>–</td><td align="char">0.227</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Ellingsen et al, 2008 <xref rid="bib28" ref-type="bibr">[28]</xref></td><td align="char">0.016</td><td>–</td><td align="char">0.026</td><td align="char">0.036</td><td align="char">0.004</td><td>–</td><td align="char">0.125</td><td>–</td><td>–</td></tr><tr><td>Wastensson et al, 2012 <xref rid="bib87" ref-type="bibr">[87]</xref></td><td align="char">0.0005</td><td>–</td><td>–</td><td>–</td><td align="char">0.023</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Mergler et al, 1994 and Baldwin et al, 2008 <xref rid="bib30 bib105" ref-type="bibr">[30,105]</xref></td><td align="char">0.011</td><td align="char">0.004</td><td>–</td><td align="char">0.010</td><td>–</td><td align="char">0.036</td><td align="char">0.089</td><td>–</td><td>–</td></tr><tr><td>Lucchini et al, 1999 <xref rid="bib33" ref-type="bibr">[33]</xref>-high</td><td align="char">0.017</td><td align="char">0.039</td><td>–</td><td align="char">0.028</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Lucchini et al, 1999 <xref rid="bib33" ref-type="bibr">[33]</xref>-mid</td><td align="char">0.058</td><td align="char">0.144</td><td>–</td><td align="char">0.183</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Kim et al, 1999 <xref rid="bib23" ref-type="bibr">[23]</xref>-high</td><td align="char">0.072</td><td>–</td><td align="char">0.225</td><td align="char">0.151</td><td>–</td><td>–</td><td>–</td><td align="char">0.042</td><td>–</td></tr><tr><td>Kim et al, 1999 <xref rid="bib23" ref-type="bibr">[23]</xref>-low</td><td align="char">0.438</td><td>–</td><td align="char">1.206</td><td align="char">0.369</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Iregren, 1990 <xref rid="bib81" ref-type="bibr">[81]</xref></td><td align="char">0.029</td><td>–</td><td>–</td><td align="char">0.035</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Yuan et al, 2006 <xref rid="bib26" ref-type="bibr">[26]</xref></td><td>–</td><td>–</td><td align="char">0.079</td><td align="char">0.053</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><td>Chang et al, 2009 <xref rid="bib88" ref-type="bibr">[88]</xref></td><td align="char">0.034</td><td>–</td><td align="char">0.040</td><td align="char">0.084</td><td align="char">0.040</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table><table-wrap-foot><fn id="tbl3fna"><label>∗</label><p>Calculated as: (1) for discrete analyses, difference in score between exposed and unexposed group divided by control group score and by average cumulative exposure, or (2) for regression-based results, estimated effect at 1 mg/m<sup>3</sup>-year divided by intercept or nominal baseline normal score.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fnb"><label>†</label><p>Using normal baseline levels and based on average observed community tibial bone lead levels.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fnc"><label>‡</label><p>Based on change per 250 μg/dL–year of cumulative lead blood level.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tbl3fnd"><label>§</label><p>Based on change per 250 μg/dL–year of cumulative lead blood level comparing two groups: 268 versus 1227 μg/dL–year Pb (mean lead = 26.1 vs. 52.8 μg/dL, respectively).</p></fn></table-wrap-foot></table-wrap></floats-group></pmc><affiliations><list></list><tree><noCountry><name sortKey="Park, Robert M" sort="Park, Robert M" uniqKey="Park R" first="Robert" last="Park">Robert Park</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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