Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease
Identifieur interne : 000291 ( Pmc/Corpus ); précédent : 000290; suivant : 000292Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease
Auteurs : Kaitlyn P. Roland ; Kayla M. D. Cornett ; Olga Theou ; Jennifer M. Jakobi ; Gareth R. JonesSource :
- Journal of Aging Research [ 2090-2204 ] ; 2012.
Abstract
Females with Parkinson's disease (PD) are vulnerable to frailty. PD eventually leads to decreased physical activity, an indicator of frailty. We speculate PD results in frailty through reduced physical activity.
Url:
DOI: 10.1155/2012/468156
PubMed: 22919489
PubMed Central: 3420090
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PMC:3420090Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease</title><author><name sortKey="Roland, Kaitlyn P" sort="Roland, Kaitlyn P" uniqKey="Roland K" first="Kaitlyn P." last="Roland">Kaitlyn P. Roland</name><affiliation><nlm:aff id="I1">Interdisciplinary Graduate Studies, Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="M D Cornett, Kayla" sort="M D Cornett, Kayla" uniqKey="M D Cornett K" first="Kayla" last="M. D. Cornett">Kayla M. D. Cornett</name><affiliation><nlm:aff id="I1">Interdisciplinary Graduate Studies, Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="Theou, Olga" sort="Theou, Olga" uniqKey="Theou O" first="Olga" last="Theou">Olga Theou</name><affiliation><nlm:aff id="I2">Faculty of Geriatrics Medicine, Dalhousie University, Halifax, NS, Canada B3H 2E1</nlm:aff></affiliation></author><author><name sortKey="Jakobi, Jennifer M" sort="Jakobi, Jennifer M" uniqKey="Jakobi J" first="Jennifer M." last="Jakobi">Jennifer M. Jakobi</name><affiliation><nlm:aff id="I3">School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="Jones, Gareth R" sort="Jones, Gareth R" uniqKey="Jones G" first="Gareth R." last="Jones">Gareth R. Jones</name><affiliation><nlm:aff id="I3">School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">22919489</idno><idno type="pmc">3420090</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420090</idno><idno type="RBID">PMC:3420090</idno><idno type="doi">10.1155/2012/468156</idno><date when="2012">2012</date><idno type="wicri:Area/Pmc/Corpus">000291</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000291</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease</title><author><name sortKey="Roland, Kaitlyn P" sort="Roland, Kaitlyn P" uniqKey="Roland K" first="Kaitlyn P." last="Roland">Kaitlyn P. Roland</name><affiliation><nlm:aff id="I1">Interdisciplinary Graduate Studies, Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="M D Cornett, Kayla" sort="M D Cornett, Kayla" uniqKey="M D Cornett K" first="Kayla" last="M. D. Cornett">Kayla M. D. Cornett</name><affiliation><nlm:aff id="I1">Interdisciplinary Graduate Studies, Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="Theou, Olga" sort="Theou, Olga" uniqKey="Theou O" first="Olga" last="Theou">Olga Theou</name><affiliation><nlm:aff id="I2">Faculty of Geriatrics Medicine, Dalhousie University, Halifax, NS, Canada B3H 2E1</nlm:aff></affiliation></author><author><name sortKey="Jakobi, Jennifer M" sort="Jakobi, Jennifer M" uniqKey="Jakobi J" first="Jennifer M." last="Jakobi">Jennifer M. Jakobi</name><affiliation><nlm:aff id="I3">School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author><author><name sortKey="Jones, Gareth R" sort="Jones, Gareth R" uniqKey="Jones G" first="Gareth R." last="Jones">Gareth R. Jones</name><affiliation><nlm:aff id="I3">School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7</nlm:aff></affiliation></author></analytic><series><title level="j">Journal of Aging Research</title><idno type="ISSN">2090-2204</idno><idno type="eISSN">2090-2212</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Females with Parkinson's disease (PD) are vulnerable to frailty. PD eventually leads to decreased physical activity, an indicator of frailty. We speculate PD results in frailty through reduced physical activity. <italic>Objective</italic>. Determine the contribution of physical activity on frailty in PD (<italic>n</italic> = 15, 65 ± 9 years) and non-PD (<italic>n</italic> = 15, 73 ± 14 years) females. <italic>Methods</italic>. Frailty phenotype (nonfrail/prefrail/frail) was categorized and 8 hours of physical activity was measured using accelerometer, global positioning system, and self-report. Two-way ANCOVA (age as covariate) was used to compare physical activity between disease and frailty phenotypes. Spearman correlation assessed relationships, and linear regression determined associations with frailty. <italic>Results</italic>. Nonfrail recorded more physical activity (intensity, counts, self-report) compared with frail. Self-reported physical activity was greater in PD than non-PD. In non-PD, step counts, light physical activity time, sedentary time, and self-reported physical activity were related to frailty (<italic>R</italic> = 0.91). In PD, only carbidopa-levodopa dose was related to frailty (<italic>r</italic> = 0.61). <italic>Conclusion</italic>. Physical activity influences frailty in females without PD. In PD females, disease management may be a better indicator of frailty than physical activity. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">J Aging Res</journal-id><journal-id journal-id-type="iso-abbrev">J Aging Res</journal-id><journal-id journal-id-type="publisher-id">JAR</journal-id><journal-title-group><journal-title>Journal of Aging Research</journal-title></journal-title-group><issn pub-type="ppub">2090-2204</issn><issn pub-type="epub">2090-2212</issn><publisher><publisher-name>Hindawi Publishing Corporation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">22919489</article-id><article-id pub-id-type="pmc">3420090</article-id><article-id pub-id-type="doi">10.1155/2012/468156</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Roland</surname><given-names>Kaitlyn P.</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>M. D. Cornett</surname><given-names>Kayla</given-names></name><xref ref-type="aff" rid="I1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Theou</surname><given-names>Olga</given-names></name><xref ref-type="aff" rid="I2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Jakobi</surname><given-names>Jennifer M.</given-names></name><xref ref-type="aff" rid="I3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Jones</surname><given-names>Gareth R.</given-names></name><xref ref-type="aff" rid="I3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib></contrib-group><aff id="I1"><sup>1</sup>Interdisciplinary Graduate Studies, Health and Exercise Sciences, University of British Columbia Okanagan, Kelowna, BC, Canada V1V 1V7</aff><aff id="I2"><sup>2</sup>Faculty of Geriatrics Medicine, Dalhousie University, Halifax, NS, Canada B3H 2E1</aff><aff id="I3"><sup>3</sup>School of Health and Exercise Sciences, Faculty of Health and Social Development, University of British Columbia Okanagan, 3333 University Way, Kelowna, BC, Canada V1V 1V7</aff><author-notes><corresp id="cor1">*Gareth R. Jones: <email>gareth.jones@ubc.ca</email></corresp><fn fn-type="other"><p>Academic Editor: Barbara Tettenborn</p></fn></author-notes><pub-date pub-type="ppub"><year>2012</year></pub-date><pub-date pub-type="epub"><day>7</day><month>8</month><year>2012</year></pub-date><volume>2012</volume><elocation-id>468156</elocation-id><history><date date-type="received"><day>3</day><month>2</month><year>2012</year></date><date date-type="rev-recd"><day>2</day><month>6</month><year>2012</year></date><date date-type="accepted"><day>21</day><month>6</month><year>2012</year></date></history><permissions><copyright-statement>Copyright © 2012 Kaitlyn P. Roland et al.</copyright-statement><copyright-year>2012</copyright-year><license license-type="open-access"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p></license></permissions><abstract><p>Females with Parkinson's disease (PD) are vulnerable to frailty. PD eventually leads to decreased physical activity, an indicator of frailty. We speculate PD results in frailty through reduced physical activity. <italic>Objective</italic>. Determine the contribution of physical activity on frailty in PD (<italic>n</italic> = 15, 65 ± 9 years) and non-PD (<italic>n</italic> = 15, 73 ± 14 years) females. <italic>Methods</italic>. Frailty phenotype (nonfrail/prefrail/frail) was categorized and 8 hours of physical activity was measured using accelerometer, global positioning system, and self-report. Two-way ANCOVA (age as covariate) was used to compare physical activity between disease and frailty phenotypes. Spearman correlation assessed relationships, and linear regression determined associations with frailty. <italic>Results</italic>. Nonfrail recorded more physical activity (intensity, counts, self-report) compared with frail. Self-reported physical activity was greater in PD than non-PD. In non-PD, step counts, light physical activity time, sedentary time, and self-reported physical activity were related to frailty (<italic>R</italic> = 0.91). In PD, only carbidopa-levodopa dose was related to frailty (<italic>r</italic> = 0.61). <italic>Conclusion</italic>. Physical activity influences frailty in females without PD. In PD females, disease management may be a better indicator of frailty than physical activity. Further investigation into how PD associated factors contribute to frailty is warranted.</p></abstract></article-meta></front><body><sec id="sec1"><title>1. Introduction</title><p>Frailty is a geriatric syndrome that results in an increased vulnerability to acute and chronic illness, falls and related injuries, and a general loss of functional independence [<xref ref-type="bibr" rid="B1">1</xref>–<xref ref-type="bibr" rid="B4">4</xref>]. The cardiovascular health study frailty index (CHS<italic>fi</italic>), proposes that frailty develops across a spectrum of phenotypes ranging from nonfrail to prefrail to frail [<xref ref-type="bibr" rid="B5">5</xref>]. All stages of frailty are evident within community-dwelling populations, with over 70% of older adults expressing some frailty characteristics [<xref ref-type="bibr" rid="B6">6</xref>]. Frailty is twice as prevalent in females as males and females typically display more frailty characteristics than males [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>]. Females experience increased frailty severity than males since they live longer and spend a greater proportion of life managing disability and disease [<xref ref-type="bibr" rid="B7">7</xref>–<xref ref-type="bibr" rid="B9">9</xref>]. </p><p>Females with Parkinson's disease (PD) are at an increased risk of frailty [<xref ref-type="bibr" rid="B10">10</xref>], yet the presence of frailty in persons with PD may be misinterpreted as disease-related functional decline [<xref ref-type="bibr" rid="B11">11</xref>]. Females with PD are typically older [<xref ref-type="bibr" rid="B12">12</xref>], cite greater disability [<xref ref-type="bibr" rid="B13">13</xref>] and experience more difficulty performing activities of daily living (ADL) than males with PD [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>]. Recent evidence suggests that of the five CHS<italic>fi</italic> criteria, self-reported exhaustion best determines frailty phenotype in females with PD [<xref ref-type="bibr" rid="B10">10</xref>]. Exhaustion is a common complaint among older females, especially those with PD, and is strongly associated with inhibiting physical activity and ADL participation [<xref ref-type="bibr" rid="B16">16</xref>–<xref ref-type="bibr" rid="B18">18</xref>]. The established relationship between reduced physical activity and frailty severity [<xref ref-type="bibr" rid="B19">19</xref>] leads us to speculate that PD influences frailty through decreased participation in physical activity. Understanding how physical activity contributes to frailty in females with PD is important in directing management strategies aimed at maintaining functional independence. The objective of this study was to determine the contribution of daily physical activity on frailty phenotype in community-dwelling females with PD, compared to non-PD females.</p></sec><sec id="sec2"><title>2. Methods</title><p>Females greater than 50 years of age, living independently in the community, with mild to moderate PD severity (Hoehn & Yahr stage 1–3) were recruited through advertisements and support group presentations. Non-PD females were similarly recruited from the same local region. All participants were able to ambulate independently (with or without walk-aid). Females with PD were in a steady clinical state (controlled by medication) and cognitively intact. Females with PD were instructed to continue daily dopamine medication as prescribed and no incidence of freezing of gait or severe dyskinesia episodes were reported during the testing day. All participants provided written informed consent. The Clinical Research Ethics Board of the University of British Columbia granted ethical approval for this investigation. </p><p>Health history questionnaires, physical frailty criteria (CHS<italic>fi</italic>), self-reported physical activity, and setup of daily physical activity monitors (accelerometer, GPS) were completed at the participant's home in the morning (8~10 am). All PD participants were assessed between 1 and 2 hours post anti-Parkinson's medication, and controls were assessed 1 hour after breakfast. In older adults, reduction in daily physical activity, and associated physiological change, can be quantified using continuous objective physical activity monitors (i.e., accelerometers and global positioning systems, GPS) [<xref ref-type="bibr" rid="B20">20</xref>]. In this study, a waist-borne accelerometer and wrist-born GPS recorded physical activity; and the participant wore these devices continuously for the entire testing day. The participant was then instructed to go about their typical daily activities, which they recorded in a written hourly log. The accelerometer, GPS, and physical activity logbook were collected approximately 7 hours later (between 4–7 pm) at the participant's home.</p><sec id="sec2.1"><title>2.1. Frailty Phenotype</title><p>Frailty was categorized according to CHS<italic>fi </italic>[<xref ref-type="bibr" rid="B5">5</xref>] that includes five select criteria to determine a frailty phenotype (nonfrail, prefrail, and frail). These criteria include: (1) Unintended weight loss (>10 lbs in past 12 months); (2) Weakness (maximal handgrip strength classified by body mass index, BMI); (3) Walk speed (15 ft at usual pace classified by height); (4) Self-reported energy expenditure (Minnesota Leisure Time Activities Questionnaire, MLTA); (5) Self-reported exhaustion (Center for Epidemiological Studies depression scale, CES-D). Participants were considered nonfrail if they satisfied none of the phenotypic criteria, prefrail if they satisfied 1 or 2 criteria, and frail if they satisfied 3 or more criteria [<xref ref-type="bibr" rid="B5">5</xref>].</p></sec><sec id="sec2.2"><title>2.2. Accelerometer</title><p>Daily physical activity was measured using an ActiTrainer accelerometer (Actigraph, LLC, Fort Walton Beach, FL) secured in a holster worn at the waist on the dominant side. The ActiTrainer (8.6 × 3.3 × 1.5 cm; 51 grams) is a triaxial solid-state accelerometer that was programmed to record 60-second epochs of data. Data was uploaded to ActiLife5 v.5.8.3 software (ActiGraph, LLC, Fort Walton Beach, FL). Physical activity intensity levels were categorized according to the cut-points described by Copeland and Eslinger for older adults [<xref ref-type="bibr" rid="B21">21</xref>]. Sedentary activity was defined as 0 to 50 counts per minute, light physical activity as 51 to 1,040 counts per minute, and moderate-to-vigorous physical activity as greater than 1,041 counts per minute. Percentage of time spent at each level of activity was reported. Measurement outputs included total counts (i.e., daily step and activity counts, total minutes of activity) and intensity (i.e., percentage of time spent at sedentary, light, and moderate-vigorous activity intensity levels).</p></sec><sec id="sec2.3"><title>2.3. Global Positioning System (GPS)</title><p>Global Positioning System (GPS) examines gross mobility outside the individuals' home. GPS used in combination with the accelerometer can accurately assess physical activity within real-life environments [<xref ref-type="bibr" rid="B22">22</xref>], and this can be applied to categorize stages of frailty [<xref ref-type="bibr" rid="B23">23</xref>]. Participants wore a Garmin Forerunner 405 GPS watch (Garmin International Inc., Olathe, KS). GPS data were uploaded to the Garmin training center software (<ext-link ext-link-type="uri" xlink:href="http://connect.garmin.com/">http://connect.garmin.com/</ext-link>). Both the GPS and accelerometer units were synchronized to record minute-by-minute data. The GPS and accelerometer data were time-matched using the ActiGraph GPS Correlation Wizard v.1.0.0 (Actigraph, LLC, Fort Walton Beach, FL) and exported in a Microsoft Excel compatible format for analysis. Only physical activity completed outside the home, defined using Garmin Training Software and an accompanying Google Earth Map, was included in the analysis. Participants' hourly physical activity log was also compared to GPS outputs to confirm physical activity participation. Vehicle-generated activity was considered any recording that measured greater than 3 m/sec for >1 min. All activity at speeds less than 3 m/sec >1 min were included as participant physical activity. GPS measurement outputs included; total GPS distance (km, vehicle- and participant-generated) and total amount of physical activity time (min).</p></sec><sec id="sec2.4"><title>2.4. Self-Reported Physical Activities</title><p>Self perceived energy expenditure was assessed using the self-reported MLTA [<xref ref-type="bibr" rid="B24">24</xref>], which was also used to determine energy expenditure as part of the CHS<italic>fi</italic> frailty assessment [<xref ref-type="bibr" rid="B5">5</xref>]. Twenty activities were specified, including walking for exercise, moderately strenuous household chores, mowing the lawn, raking the lawn, gardening, hiking, jogging, biking, exercise cycling, dancing, aerobics, bowling, golfing, calisthenics/general exercise, swimming, doubles tennis, singles tennis, and racquetball. Participants who engaged in any physical activity during the previous 2-weeks recorded the number of sessions and their duration. Energy (kcal/week) expenditure was determined using metabolic equivalent (MET) score: (activity-specific MET) × ((activity duration in minutes)/60) × ((number of sessions in past two weeks)/2). Total energy expenditure was calculated by summing expenditures over all activities.</p></sec><sec id="sec2.5"><title>2.5. Statistical Analysis</title><p>All analysis was performed using Statistical Package for Social Science 18.0 (PASW Statistics 18.0, SPSS Inc. IBM Somers, NY). Subject characteristics were compared between groups (non-PD, PD) and between frailty phenotype (nonfrail, prefrail, and frail) with a one-way ANOVA. The non-PD females were older than PD (<italic>P</italic> = 0.005), nonfrail females were younger than prefrail and frail (<italic>P</italic> = 0.007), and prefrail were younger than frail (<italic>P</italic> = 0.03). Thus, age was used as a covariate in a two-way ANCOVA to assess differences in physical activity between disease states (PD; non-PD) and frailty phenotype (nonfrail; prefrail; frail). To evaluate the main effects a univariate analysis was performed for each dependent variable to identify contributions to the main effects of disease states and frailty phenotypes. Probability level was set at <italic>P</italic> < 0.05 and Tukey post hoc tests were used to probe statistical interactions. Spearman's rank correlation was used to evaluate physical activity measures relative to frailty phenotype in each group. The physical activity measures that were significantly correlated with frailty phenotype were entered into a multiple regression analysis model with frailty phenotype as the dependent variable and physical activity measures as the independent variables. </p></sec></sec><sec id="sec3"><title>3. Results</title><p>Fifteen persons with PD (65 ± 9 years) and 15 non-PD controls (73 ± 14 years) participated. Both groups were categorized into frailty phenotypes according to the CHS<italic>fi </italic>(<xref ref-type="table" rid="tab1">Table 1</xref>). In females with PD, tremor in the upper limb was controlled with medication and participants self-reported no freezing of gait or periods of dyskinesia over the course of the day. Further, any reports of rigidity and/or slowness of movement (bradykinesia) were mild and did not restrict ADL. Comparison of physical activity between disease states and frailty phenotypes with age as a covariate determined nonfrail recorded less sedentary time, participated in more light-intensity physical activity and accumulated more steps compared with frail (<xref ref-type="table" rid="tab2">Table 2</xref>). Also, self-reported physical activity was lower in frail compared with the nonfrail and prefrail phenotypes (<xref ref-type="table" rid="tab2">Table 2</xref>). However, higher self-reported physical activity was reported in PD compared with non-PD, although the other physical activity variables did not differ between disease groups (<xref ref-type="table" rid="tab2">Table 2</xref>).</p><sec id="sec3.1"><title>3.1. Physical Activity and Frailty</title><p>In PD, no physical activity variables were significantly related to frailty (<italic>P</italic> > 0.29); however, daily dose of carbidopa-levodopa, including both controlled-release and active-release forms, was correlated with frailty (<italic>r</italic> = 0.61; <italic>P</italic> = 0.01) (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Other medication regimes for the management of PD and other comorbidities did not relate to frailty (<italic>P</italic> > 0.42). Physical activity variables demonstrated a significant linear relationship with increasing frailty severity in non-PD (<xref ref-type="table" rid="tab3">Table 3</xref>). Those physical activity variables that were significantly different between frailty phenotypes (<xref ref-type="table" rid="tab3">Table 3</xref>) were entered into individual regression models for non-PD. Low step, counts, higher sedentary behaviour, reduced light activity and lower weekly self-reported energy expenditure accounted for 83.3% of the variance (<italic>R</italic> = 0.913; <italic>P</italic> = 0.002; Figures <xref ref-type="fig" rid="fig2">2(a)</xref>–<xref ref-type="fig" rid="fig2">2(d)</xref>, but no single variable in this model best-determined frailty (<italic>P</italic> = 0.108 to 0.226). </p></sec></sec><sec id="sec4"><title>4. Discussion</title><p>This study examined the relationship between physical activity and frailty phenotype in community-dwelling females with PD and non-PD controls. Results of this study demonstrate physical activity (i.e., accelerometry counts and intensity, GPS, and self-reported) was not related to frailty phenotype in this sample group of females with PD; however, lower daily physical activity was associated with increased frailty severity in non-PD females. Current literature demonstrates physical inactivity as an important determinant of frailty phenotype [<xref ref-type="bibr" rid="B25">25</xref>], and persons with PD have reduced levels of accelerometry-assessed physical activity compared to non-PD controls [<xref ref-type="bibr" rid="B26">26</xref>]. This study suggests daily physical activity participation may not be the primary factor associated with frailty phenotype in females with PD. It is unclear from our cross-sectional data if a causal relationship exists between physical activity and frailty. However, results presented here support future longitudinal investigation into how PD progression impacts physical activity and how these changes in symptom expression and physical activity influence physical frailty.</p><sec id="sec4.1"><title>4.1. Physical Activity: Not Related to Frailty Phenotype in PD</title><p>No relationship was demonstrated between daily physical activity and frailty phenotype in these females with PD. Although PD progression eventually debilitates motor performance, it is not likely to be the primary contributing factor to frailty in these females with PD. The results presented here do not necessarily exclude the contribution of physical activity to frailty, but rather suggest disease management may be a greater contributor to frailty. There is considerable variation in the manifestation of PD symptoms, which necessitates further large-scale investigation into PD-related contributors to frailty over the disease course. During the first 10 years of the disease, symptoms such as akinesia and festinating gait may not have progressed to the point at which they inhibit physical activity participation, which was the case with these participants [<xref ref-type="bibr" rid="B27">27</xref>]. In the initial stages of the disease, slowness to execute day-to-day activities (i.e., bradykinesia) is more common, and this likely contributes to perceived exhaustion, which is a criterion for frailty. Thus, in community-dwelling persons with PD, self-reported exhaustion resulting from PD symptoms contributes to frailty [<xref ref-type="bibr" rid="B10">10</xref>], rather than reduced daily physical activity. </p><p>Results of this study indicate that although physical activity was not related to frailty in PD, females with PD self-reported greater leisure time activities compared to non-PD controls, regardless of frailty severity. This finding argues against previous research that states community-dwelling persons with PD have significantly less daily physical activity energy expenditure (measured using MLTA questionnaire) compared with controls, although the study sample included only males [<xref ref-type="bibr" rid="B28">28</xref>]. We speculate that increased self-reported leisure activity in these females with PD is due to the benefits of physical exercise being well recognized in the PD population to improve motor performance, functional and cognitive ability, safety, and confidence in ADL [<xref ref-type="bibr" rid="B27">27</xref>]. Persons living with PD are constantly encouraged to remain active despite disease-associated barriers (i.e., exhaustion) [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>]. Previous study demonstrated older adults with an increased risk of mortality, like persons with PD, adhere better to exercise programs compared to general community-dwelling older adults [<xref ref-type="bibr" rid="B31">31</xref>]. Therefore, we speculate that persons with PD may be involved in more physical activity and adhere better to exercise recommendations compared with community-dwelling counterparts because of PD-associated disease symptoms, regardless of frailty phenotype.</p><p>Unlike females with PD, physical activity influences frailty severity in community-dwelling females without PD. The importance of dedicating a greater percentage of daytime hours to light-intensity activities and decreasing sedentary time is highlighted in community-dwelling females. Sedentary time was related to increased frailty in females without PD, likely through its influence on physiological decline (i.e., decreased fitness), leading to greater dependence [<xref ref-type="bibr" rid="B36">32</xref>]. The contribution of physical activity to frailty in females without PD may be attributed to reduced mobility, less activity intensity and restricted life-space (i.e., the spatial area a person moves through during daily life) [<xref ref-type="bibr" rid="B32">33</xref>, <xref ref-type="bibr" rid="B33">34</xref>]. These physical and environmental challenges contribute to further reductions in physical activity and exacerbate declining functional reserves [<xref ref-type="bibr" rid="B34">35</xref>], encouraging transition to greater frailty severity. Remaining active during old age is important as sedentary lifestyle significantly increases risk of developing multiple chronic diseases and premature mortality [<xref ref-type="bibr" rid="B34">35</xref>]. Disease prevalence and functional impairment increases with age [<xref ref-type="bibr" rid="B35">36</xref>], which places the older adult at greater risk of frailty [<xref ref-type="bibr" rid="B5">5</xref>]. However, it is unclear whether age and age-related characteristics are associated with frailty in females with PD. This sample was randomly recruited from a population of females living independently in their own homes. Persons with PD seek institutional care sooner than non-PD counterparts [<xref ref-type="bibr" rid="B43">37</xref>], suggesting they may reach frailty sooner. Future longitudinal research may investigate onset of frailty in females with PD and follow frailty progression throughout the disease course. Also, further information on the contribution of physical activity to frailty onset and progression in PD is needed.</p></sec><sec id="sec4.2"><title>4.2. The Relationship between PD Management and Frailty</title><p>Accelerometers have been used in several research fields to monitor daily physical activity; monitoring of steps using waist-born accelerometers is feasible in PD populations and provides useful feedback on freezing (i.e., sudden inability to move, especially in the legs during walking), as well as long-term daily activity. Results of this study indicate that daily physical activity does not contribute to frailty phenotype in community-dwelling females with PD; however, daily carbidopa-levodopa dose was significantly related to frailty. Medication regimes for participants in this study included medications for the management of PD (i.e., carbidopa-levodopa, entacapone, pramipexole, amantadine, and ropinerole) and other conditions, such as anxiety/depression, blood pressure, migraine, muscle pain and inflammation, postmenopause symptoms, and difficulty sleeping. Multiple medication use in PD is associated with functional decline and high fall risk [<xref ref-type="bibr" rid="B37">38</xref>]; both of which are indicative of frailty. In addition, dopamine deficiency in PD may result in physical exhaustion [<xref ref-type="bibr" rid="B38">39</xref>], increasing ADL dependence risk for frailty. Therefore, the impact of PD medication regime on physical function and frailty requires further inquiry. </p><p>In addition to motor impairments, persons with PD face secondary symptoms that impact basic daily function, such as depression, cognitive impairments, and nonmotor symptoms that increase functional dependence through increased anxiety, social isolation, and confusion [<xref ref-type="bibr" rid="B39">40</xref>]. Cognition is considered an important component of frailty [<xref ref-type="bibr" rid="B40">41</xref>] and is also associated with adverse PD outcomes [<xref ref-type="bibr" rid="B39">40</xref>]. Cognitive function can be influenced by depression and physical decline, and females with PD report greater incidence of both compared with males [<xref ref-type="bibr" rid="B14">14</xref>]. Also, females with PD report greater symptom-related stress and sleep disturbances than males [<xref ref-type="bibr" rid="B41">42</xref>, <xref ref-type="bibr" rid="B42">43</xref>]. The importance of these non-motor symptoms cannot be underestimated, however they are beyond the scope of this study. Future research should consider how PD symptoms (motor and non-motor), disease severity, duration, other comorbidities, polypharmacy, and age impact frailty severity in both males and females with PD. </p></sec><sec id="sec4.3"><title>4.3. Implications</title><sec id="sec4.3.1"><title>4.3.1. Community-Dwelling Populations and Neurological Disorders</title><p>The progressive nature of PD and related symptoms such as bradykinesia and tremor causes persons with PD to seek long-term care earlier than the general older adult population [<xref ref-type="bibr" rid="B43">37</xref>]. Females with PD may be more vulnerable to frailty than persons without neurological disorder because of PD-related systems that exacerbate the frailty phenotype. Therefore, it is important to make an early identification of frailty in community dwelling persons, especially those with neurological disorder who express a frailty phenotype earlier than the general population. </p></sec><sec id="sec4.3.2"><title>4.3.2. Frailty Management</title><p>Physical inactivity is directly linked to declining physiological reserve capacity, defined as adaptive responses (i.e., heart rate, blood pressure, respiration) that enable us to perform tasks or overcome external stresses [<xref ref-type="bibr" rid="B44">44</xref>]. In persons with PD the complexity of symptom presentation results in a reduced adaptive capacity. These losses of adaptive capacity, related to aging or disease, lead to declining functional independence and are a determinant of frailty [<xref ref-type="bibr" rid="B25">25</xref>]. Comorbidities and clinical symptoms interact between frailty and PD making identification of frailty in persons with PD challenging to diagnose [<xref ref-type="bibr" rid="B11">11</xref>]. Few studies have examined how to accurately identify frailty in this population [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>]. Early identification of frailty in persons with PD is relevant since over half of older adults living independently in their own homes are at-risk for frailty and subsequent functional decline [<xref ref-type="bibr" rid="B6">6</xref>]. Due to the transitional nature of both frailty and PD, the majority of disease progression occurs long before the individual requires institutional care [<xref ref-type="bibr" rid="B47">47</xref>]. As PD severity increases, symptoms become aggravated, further exacerbating underlying frailty [<xref ref-type="bibr" rid="B46">46</xref>]. Awareness of frailty during the initial stages of PD development may contribute to improved management strategies that delay and/or reverse frailty factors and preserve functional independence [<xref ref-type="bibr" rid="B6">6</xref>]. This study demonstrated that frailty was related to decreased physical activity in community-dwelling non-PD, and symptom management in PD females. Knowledge gained from the current study can be used to inform effective strategies for identifying prefrailty in non-PD females. This information can be applied to the development and delivery of timely support that addresses age- and disease-associated declines in function. Preventing functional decline has important implications for healthcare resource use in PD and non-PD older adults, as well as reducing physical, emotional, social, and financial problems attributed to frailty [<xref ref-type="bibr" rid="B25">25</xref>]. </p><p>Currently, there is little evidence on how PD specifically impacts females and contributes to increased risk of frailty. Greater risk of frailty may be a consequence of greater functional declines [<xref ref-type="bibr" rid="B10">10</xref>], distress, and cognitive impairment [<xref ref-type="bibr" rid="B40">41</xref>], all resulting in ADL dependence [<xref ref-type="bibr" rid="B8">8</xref>]. In females with PD, physical activity participation should be aimed at managing PD symptoms. Managing PD symptoms, through physical activity and medication, will incidentally contribute to frailty management. Emphasis, therefore, should be placed on managing frailty within the context of PD symptoms [<xref ref-type="bibr" rid="B11">11</xref>]. Further collaboration is crucial between neurological, geriatric practice, and physical therapy/rehabilitation in terms of frailty assessment, progression, and addressing complications resulting in declining physical activity that may culminate in frailty.</p></sec></sec></sec><sec id="sec5"><title>5. Conclusion</title><p>Physical activity influences frailty expression in older females without PD, surprisingly no relationship between physical activity and frailty was found in our sample of females with PD. In PD, disease management may better indicate frailty severity. Further study is warranted to establish how PD-associated characteristics (i.e., polypharmacy) contribute to frailty and how physical activity participation interplays with the complex progress of frailty within PD. This study suggests PD-associated symptoms motivate community-dwelling females with PD to engage in leisure-time physical activities. Considering its vast impact in the community and on healthcare resources, identification of early frailty and management of resulting disability remains a priority area for geriatric research. Ultimately, enabling older adults to remain physically active promotes independence in ADL and empowers positive aging, albeit it may not protect females with PD from becoming frail.</p></sec></body><back><ack><title>Acknowledgments</title><p>The authors would like to thank the participants for generously donating their time and contributing to this investigation. K. P. 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Increased step count is positively correlated with greater frailty severity (<italic>r</italic> = 0.61) in females with PD. Females with PD are represented by the <italic>open circles</italic> and <italic>dashed regression line</italic>. </p></caption><graphic xlink:href="JAR2012-468156.001"></graphic></fig><fig id="fig2" orientation="portrait" position="float"><label>Figure 2</label><caption><p>Relationship between frailty severity and: (a) daily step count. Total daily step count was negatively correlated with frailty severity (<italic>r</italic> = −0.79) in females without PD; (b) accumulated daily sedentary time. Sedentary time was positively correlated with frailty severity (<italic>r</italic> = 0.84) in females without PD; (c) accumulated light physical activity time. Light activity time was negatively correlated with frailty severity (<italic>r</italic> = −0.82) in females without PD; (d) self-reported leisure activity. Self-reported activity was negatively correlated with greater frailty severity (<italic>r</italic> = −0.82) in females without PD. Females with PD are represented by the <italic>open circle</italic> and <italic>dashed regression line</italic>; females without PD are represented by <italic>the open triangle</italic> and <italic>dotted regression line</italic>. </p></caption><graphic xlink:href="JAR2012-468156.002"></graphic></fig><table-wrap id="tab1" orientation="portrait" position="float"><label>Table 1</label><caption><p>Participant characteristics across frailty phenotypes in PD and non-PD females.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1"></th><th align="center" colspan="3" rowspan="1">PD</th><th align="center" colspan="3" rowspan="1">Non-PD</th></tr><tr><th align="left" rowspan="1" colspan="1"></th><th align="center" rowspan="1" colspan="1">Nonfrail</th><th align="center" rowspan="1" colspan="1">Prefrail</th><th align="center" rowspan="1" colspan="1">Frail</th><th align="center" rowspan="1" colspan="1">Nonfrail</th><th align="center" rowspan="1" colspan="1">Prefrail</th><th align="center" rowspan="1" colspan="1">Frail</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><italic>N</italic></td><td align="center" rowspan="1" colspan="1">4</td><td align="center" rowspan="1" colspan="1">7</td><td align="center" rowspan="1" colspan="1">4</td><td align="center" rowspan="1" colspan="1">8</td><td align="center" rowspan="1" colspan="1">4</td><td align="center" rowspan="1" colspan="1">3</td></tr><tr><td align="left" rowspan="1" colspan="1">Age</td><td align="center" rowspan="1" colspan="1">69 ± 1</td><td align="center" rowspan="1" colspan="1">65 ± 10</td><td align="center" rowspan="1" colspan="1">63 ± 11</td><td align="center" rowspan="1" colspan="1">63 ± 8<sup>ab</sup></td><td align="center" rowspan="1" colspan="1">79 ± 14<sup>b</sup></td><td align="center" rowspan="1" colspan="1">90 ± 6</td></tr><tr><td align="left" rowspan="1" colspan="1">Body mass index (kg/m<sup>2</sup>)</td><td align="center" rowspan="1" colspan="1">26.31 ± 5.6</td><td align="center" rowspan="1" colspan="1">22.95 ± 4.3</td><td align="center" rowspan="1" colspan="1">25.06 ± 4.3</td><td align="center" rowspan="1" colspan="1">23.20 ± 5.7</td><td align="center" rowspan="1" colspan="1">34.60 ± 5.4</td><td align="center" rowspan="1" colspan="1">32.49 ± 12.2</td></tr><tr><td align="left" rowspan="1" colspan="1">Number of medications</td><td align="center" rowspan="1" colspan="1">4.0 ± 2.0</td><td align="center" rowspan="1" colspan="1">2.9 ± 1.5</td><td align="center" rowspan="1" colspan="1">3.3 ± 2.6</td><td align="center" rowspan="1" colspan="1">1.3 ± 1.3</td><td align="center" rowspan="1" colspan="1">6.0 ± 4.2</td><td align="center" rowspan="1" colspan="1">5.3 ± 0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">mg carbidopa-levodopa per day</td><td align="center" rowspan="1" colspan="1">366.67 ± 57.7</td><td align="center" rowspan="1" colspan="1">571.43 ± 340.2</td><td align="center" rowspan="1" colspan="1">825.00 ± 330.4</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">carbidopa-levodopa only (<italic>N</italic>)</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1">3</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">carbidopa-levodopa + pram (<italic>N</italic>)</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">carbidopa-levodopa + enta (<italic>N</italic>)</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">carbidopa-levodopa + enta + pram (<italic>N</italic>)</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">carbidopa-levodopa + aman + rop (<italic>N</italic>)</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Hoehn & Yahr disease severity</td><td align="center" rowspan="1" colspan="1">1.83 ± 0.8</td><td align="center" rowspan="1" colspan="1">1.86 ± 0.6</td><td align="center" rowspan="1" colspan="1">2.50 ± 0.4</td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td><td align="center" rowspan="1" colspan="1"></td></tr></tbody></table><table-wrap-foot><fn><p>PD: Parkinson's disease, <italic>N</italic>: number, kg: kilogram, m: meter, mg: milligram, pram: pramipexole, enta: entacapone, aman, amantadine, and rop: ropinirole.</p></fn><fn><p><sup>a</sup>Significantly different from prefrail.</p></fn><fn><p><sup>b</sup>Significantly different from frail.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab2" orientation="portrait" position="float"><label>Table 2</label><caption><p>Main effects on physical activity variables.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1"></th><th align="center" rowspan="1" colspan="1">PD</th><th align="center" rowspan="1" colspan="1">Non-PD</th><th align="center" rowspan="1" colspan="1">Nonfrail</th><th align="center" rowspan="1" colspan="1">Prefrail</th><th align="center" rowspan="1" colspan="1">Frail</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Number</td><td align="center" rowspan="1" colspan="1">15</td><td align="center" rowspan="1" colspan="1">15</td><td align="center" rowspan="1" colspan="1">12</td><td align="center" rowspan="1" colspan="1">11</td><td align="center" rowspan="1" colspan="1">7</td></tr><tr><td align="left" rowspan="1" colspan="1">Total steps</td><td align="center" rowspan="1" colspan="1">3476 ± 2814</td><td align="center" rowspan="1" colspan="1">3731 ± 3827</td><td align="center" rowspan="1" colspan="1">5624 ± 3309<sup>a</sup></td><td align="center" rowspan="1" colspan="1">3019 ± 3290</td><td align="center" rowspan="1" colspan="1">1636 ± 1599</td></tr><tr><td align="left" rowspan="1" colspan="1">% time spent sedentary</td><td align="center" rowspan="1" colspan="1">61.7 ± 14.1</td><td align="center" rowspan="1" colspan="1">60.9 ± 16.6</td><td align="center" rowspan="1" colspan="1">49.39 ± 9.5<sup>a</sup></td><td align="center" rowspan="1" colspan="1">66.4 ± 14.6</td><td align="center" rowspan="1" colspan="1">71.9 ± 11.3</td></tr><tr><td align="left" rowspan="1" colspan="1">% time at light activity</td><td align="center" rowspan="1" colspan="1">32.2 ± 10.6</td><td align="center" rowspan="1" colspan="1">31.7 ± 10.6</td><td align="center" rowspan="1" colspan="1">39.4 ± 7.4<sup>a</sup></td><td align="center" rowspan="1" colspan="1">28.6 ± 10.2</td><td align="center" rowspan="1" colspan="1">25.2 ± 8.2</td></tr><tr><td align="left" rowspan="1" colspan="1">MLTA questionnaire</td><td align="center" rowspan="1" colspan="1">3052.3 ± 1611.6<sup>b</sup></td><td align="center" rowspan="1" colspan="1">2015.0 ± 1517.4</td><td align="center" rowspan="1" colspan="1">3045.0 ± 1096.2<sup>a</sup></td><td align="center" rowspan="1" colspan="1">2826.4 ± 1790.4<sup>a</sup></td><td align="center" rowspan="1" colspan="1">1196.1 ± 1493.7</td></tr></tbody></table><table-wrap-foot><fn><p>Analysis adjusted for age.</p></fn><fn><p>%: percent, MLTA: Minnesota Leisure Time Activity, and PD: Parkinson's disease. </p></fn><fn><p><sup>a</sup>Significantly different from frail, <italic>P</italic> < 0.05.</p></fn><fn><p><sup>b</sup>Significantly different from non-PD, <italic>P</italic> = 0.03.</p></fn></table-wrap-foot></table-wrap><table-wrap id="tab3" orientation="portrait" position="float"><label>Table 3</label><caption><p>The relationship of physical activity variables to frailty severity in non-PD females.</p></caption><table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1"></th><th rowspan="1" colspan="1">ANOVA</th><th align="center" colspan="2" rowspan="1">Spearman correlation</th><th align="center" colspan="2" rowspan="1">Linear regression</th></tr><tr><th align="left" rowspan="1" colspan="1"></th><th rowspan="1" colspan="1">Main effect (<italic>P</italic>)</th><th align="center" rowspan="1" colspan="1">Correlation coefficient (<italic>r</italic>)</th><th align="center" rowspan="1" colspan="1">Significance (<italic>P</italic>)</th><th align="center" rowspan="1" colspan="1">Beta coefficient (<italic>β</italic>)</th><th align="center" rowspan="1" colspan="1">Significance (<italic>P</italic>)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Accelerometer: total counts</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Total steps counts<sup>∗</sup></td><td align="center" rowspan="1" colspan="1">0.046</td><td align="center" rowspan="1" colspan="1">−0.79</td><td align="center" rowspan="1" colspan="1">0.001</td><td align="center" rowspan="1" colspan="1">1.113</td><td align="center" rowspan="1" colspan="1">0.202</td></tr><tr><td align="left" rowspan="1" colspan="1"> Total activity counts</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.75</td><td align="center" rowspan="1" colspan="1">0.001</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Total activity time (min)</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.59</td><td align="center" rowspan="1" colspan="1">0.001</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Accelerometer: intensity</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> % time spent sedentary<sup>∗</sup></td><td align="center" rowspan="1" colspan="1">0.002</td><td align="center" rowspan="1" colspan="1">0.84</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">2.602</td><td align="center" rowspan="1" colspan="1">0.110</td></tr><tr><td align="left" rowspan="1" colspan="1"> % time at light activity<sup>∗</sup></td><td align="center" rowspan="1" colspan="1">0.012</td><td align="center" rowspan="1" colspan="1">−0.82</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">1.225</td><td align="center" rowspan="1" colspan="1">0.226</td></tr><tr><td align="left" rowspan="1" colspan="1"> % time at MV activity</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.81</td><td align="center" rowspan="1" colspan="1">0.000</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">GPS</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Total distance travelled (km)</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.63</td><td align="center" rowspan="1" colspan="1">0.012</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Average travel speed (km/h)</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.58</td><td align="center" rowspan="1" colspan="1">0.023</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> Physical activity time (min)</td><td align="center" rowspan="1" colspan="1">NS</td><td align="center" rowspan="1" colspan="1">−0.54</td><td align="center" rowspan="1" colspan="1">0.036</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Self-reported activity</td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td><td rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> MLTA questionnaire (kcal/week)<sup>∗</sup></td><td align="center" rowspan="1" colspan="1">0.007</td><td align="center" rowspan="1" colspan="1">−0.82</td><td align="center" rowspan="1" colspan="1">0.000</td><td align="center" rowspan="1" colspan="1">−0.386</td><td align="center" rowspan="1" colspan="1">0.108</td></tr></tbody></table><table-wrap-foot><fn><p>%: percentage; GPS: global positioning system; h: hour; kcal: kilocalories; km: kilometers; MLTA: Minnesota Leisure Time Activity; min: minutes; MV: moderate-vigorous; PD: Parkinson's disease; NS: nonsignificant (<italic>P</italic> > 0.05).</p></fn><fn><p><sup>∗</sup>Significant main effects, therefore included in regression model.</p></fn></table-wrap-foot></table-wrap></floats-group></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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