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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Nutritional Deficiencies and Food Insecurity Among HIV-infected Children in Tanzania</title><author><name sortKey="Modlin, Chelsea E" sort="Modlin, Chelsea E" uniqKey="Modlin C" first="Chelsea E." last="Modlin">Chelsea E. Modlin</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Naburi, Helga" sort="Naburi, Helga" uniqKey="Naburi H" first="Helga" last="Naburi">Helga Naburi</name><affiliation><nlm:aff id="aff2">Muhimbili University of Health and Allied Sciences, Dar es Salaam, TANZANIA</nlm:aff></affiliation><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Hendricks, Kristy M" sort="Hendricks, Kristy M" uniqKey="Hendricks K" first="Kristy M." last="Hendricks">Kristy M. Hendricks</name><affiliation><nlm:aff id="aff4">Hood Center for Children and Families Community Health Research Program, Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Lyatuu, Goodluck" sort="Lyatuu, Goodluck" uniqKey="Lyatuu G" first="Goodluck" last="Lyatuu">Goodluck Lyatuu</name><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Kimaro, Josphine" sort="Kimaro, Josphine" uniqKey="Kimaro J" first="Josphine" last="Kimaro">Josphine Kimaro</name><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Adams, Lisa V" sort="Adams, Lisa V" uniqKey="Adams L" first="Lisa V." last="Adams">Lisa V. Adams</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Palumbo, Paul E" sort="Palumbo, Paul E" uniqKey="Palumbo P" first="Paul E." last="Palumbo">Paul E. Palumbo</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Von Reyn, C Fordham" sort="Von Reyn, C Fordham" uniqKey="Von Reyn C" first="C. Fordham" last="Von Reyn">C. Fordham Von Reyn</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation><affiliation><nlm:aff id="aff5">Section of Infectious Disease and International Health, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27621976</idno><idno type="pmc">4948148</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4948148</idno><idno type="RBID">PMC:4948148</idno><date when="2014">2014</date><idno type="wicri:Area/Pmc/Corpus">000373</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000373</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Nutritional Deficiencies and Food Insecurity Among HIV-infected Children in Tanzania</title><author><name sortKey="Modlin, Chelsea E" sort="Modlin, Chelsea E" uniqKey="Modlin C" first="Chelsea E." last="Modlin">Chelsea E. Modlin</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Naburi, Helga" sort="Naburi, Helga" uniqKey="Naburi H" first="Helga" last="Naburi">Helga Naburi</name><affiliation><nlm:aff id="aff2">Muhimbili University of Health and Allied Sciences, Dar es Salaam, TANZANIA</nlm:aff></affiliation><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Hendricks, Kristy M" sort="Hendricks, Kristy M" uniqKey="Hendricks K" first="Kristy M." last="Hendricks">Kristy M. Hendricks</name><affiliation><nlm:aff id="aff4">Hood Center for Children and Families Community Health Research Program, Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Lyatuu, Goodluck" sort="Lyatuu, Goodluck" uniqKey="Lyatuu G" first="Goodluck" last="Lyatuu">Goodluck Lyatuu</name><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Kimaro, Josphine" sort="Kimaro, Josphine" uniqKey="Kimaro J" first="Josphine" last="Kimaro">Josphine Kimaro</name><affiliation><nlm:aff id="aff3">DarDar Programs, Dar es Salaam, TANZANIA</nlm:aff></affiliation></author><author><name sortKey="Adams, Lisa V" sort="Adams, Lisa V" uniqKey="Adams L" first="Lisa V." last="Adams">Lisa V. Adams</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Palumbo, Paul E" sort="Palumbo, Paul E" uniqKey="Palumbo P" first="Paul E." last="Palumbo">Paul E. Palumbo</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation></author><author><name sortKey="Von Reyn, C Fordham" sort="Von Reyn, C Fordham" uniqKey="Von Reyn C" first="C. Fordham" last="Von Reyn">C. Fordham Von Reyn</name><affiliation><nlm:aff id="aff1">Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</nlm:aff></affiliation><affiliation><nlm:aff id="aff5">Section of Infectious Disease and International Health, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA</nlm:aff></affiliation></author></analytic><series><title level="j">International journal of MCH and AIDS</title><idno type="ISSN">2161-8674</idno><idno type="eISSN">2161-864X</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="st1"><title>Background:</title><p>Poor nutrition has been associated with impaired immunity and accelerated disease progression in HIV-infected children. The aim of this study was to quantify the levels of nutrient intake in HIV-infected children and compare these to standard recommendations.</p></sec><sec id="st2"><title>Methods:</title><p>We surveyed HIV-infected Tanzanian children enrolled in a pediatric care program that provided routine nutritional counseling and vitamin supplementation. We obtained anthropometric measurements and determined 24-hour macronutrient and micronutrient intakes and food insecurity. Values were compared to recommended nutrient intakes based on age and gender.</p></sec><sec id="st3"><title>Results:</title><p>We interviewed 48 pairs of children and their caregiver(s). The age of the child ranged from 2-14 years; median age 6 and 60% female. The median weight-for-height z-score for children ≤ 5 years was 0.69 and BMI-for-age z-scores for children >5 was -0.84. Macronutrient evaluation showed that 29 (60%) children were deficient in dietary intake of energy; deficiency was more common in older children (p=0.004). Micronutrient evaluation shows that over half of study subjects were deficient in dietary intake of vitamin A, vitamin D, vitamin E, thiamine, riboflavin, niacin, folate, vitamin B<sub>12</sub>, and calcium. Food insecurity was reported by 20 (58%) caregivers.</p></sec><sec id="st4"><title>Conclusions and Public Health Implications:</title><p>The diets of many HIV-infected children at a specialized treatment center in Tanzania do not meet recommended levels of macro-and micro-nutrients. Food insecurity was a contributory factor. Enhanced dietary counseling and provision of macro- and micro-nutrient supplements will be necessary to achieve optimal nutrition for most HIV-infected children in resource-poor regions.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Villamor, E" uniqKey="Villamor E">E Villamor</name></author><author><name sortKey="Misegades, L" uniqKey="Misegades L">L Misegades</name></author><author><name sortKey="Fataki, Mr" uniqKey="Fataki M">MR Fataki</name></author><author><name sortKey="Mbise, Rl" uniqKey="Mbise R">RL Mbise</name></author><author><name sortKey="Fawzi, Ww" uniqKey="Fawzi W">WW Fawzi</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Abubakar, A" uniqKey="Abubakar A">A Abubakar</name></author><author><name sortKey="Holding, P" uniqKey="Holding P">P Holding</name></author><author><name sortKey="Mwangome, M" uniqKey="Mwangome M">M 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J MCH AIDS</journal-id><journal-id journal-id-type="iso-abbrev">Int J MCH AIDS</journal-id><journal-title-group><journal-title>International journal of MCH and AIDS</journal-title></journal-title-group><issn pub-type="ppub">2161-8674</issn><issn pub-type="epub">2161-864X</issn><publisher><publisher-name>Global Health and Education Projects, Inc</publisher-name><publisher-loc>USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27621976</article-id><article-id pub-id-type="pmc">4948148</article-id><article-id pub-id-type="publisher-id">IJMA-2-220</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Nutritional Deficiencies and Food Insecurity Among HIV-infected Children in Tanzania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Modlin</surname><given-names>Chelsea E.</given-names></name><degrees>BA</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Naburi</surname><given-names>Helga</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Hendricks</surname><given-names>Kristy M.</given-names></name><degrees>ScD, RD</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Lyatuu</surname><given-names>Goodluck</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Kimaro</surname><given-names>Josphine</given-names></name><degrees>RD</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Adams</surname><given-names>Lisa V.</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Palumbo</surname><given-names>Paul E.</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>von Reyn</surname><given-names>C. Fordham</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff5">5</xref><xref ref-type="corresp" rid="cor1">*</xref></contrib></contrib-group><aff id="aff1"><label>1</label>Infectious Disease and International Health, Geisel School of Medicine at Dartmouth Hanover, NH, 03755, USA</aff><aff id="aff2"><label>2</label>Muhimbili University of Health and Allied Sciences, Dar es Salaam, TANZANIA</aff><aff id="aff3"><label>3</label>DarDar Programs, Dar es Salaam, TANZANIA</aff><aff id="aff4"><label>4</label>Hood Center for Children and Families Community Health Research Program, Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA</aff><aff id="aff5"><label>5</label>Section of Infectious Disease and International Health, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA</aff><author-notes><corresp id="cor1"><label>*</label>Corresponding author e-mail: <email xlink:href="fvr@dartmouth.edu">fvr@dartmouth.edu</email></corresp></author-notes><pub-date pub-type="ppub"><year>2014</year></pub-date><volume>2</volume><issue>2</issue><fpage>220</fpage><lpage>228</lpage><permissions><copyright-statement>Copyright: © 2014 Modlin et al.</copyright-statement><copyright-year>2014</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/3.0"><license-p>This is an open-access article distributed under the terms of 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><sec id="st1"><title>Background:</title><p>Poor nutrition has been associated with impaired immunity and accelerated disease progression in HIV-infected children. The aim of this study was to quantify the levels of nutrient intake in HIV-infected children and compare these to standard recommendations.</p></sec><sec id="st2"><title>Methods:</title><p>We surveyed HIV-infected Tanzanian children enrolled in a pediatric care program that provided routine nutritional counseling and vitamin supplementation. We obtained anthropometric measurements and determined 24-hour macronutrient and micronutrient intakes and food insecurity. Values were compared to recommended nutrient intakes based on age and gender.</p></sec><sec id="st3"><title>Results:</title><p>We interviewed 48 pairs of children and their caregiver(s). The age of the child ranged from 2-14 years; median age 6 and 60% female. The median weight-for-height z-score for children ≤ 5 years was 0.69 and BMI-for-age z-scores for children >5 was -0.84. Macronutrient evaluation showed that 29 (60%) children were deficient in dietary intake of energy; deficiency was more common in older children (p=0.004). Micronutrient evaluation shows that over half of study subjects were deficient in dietary intake of vitamin A, vitamin D, vitamin E, thiamine, riboflavin, niacin, folate, vitamin B<sub>12</sub>, and calcium. Food insecurity was reported by 20 (58%) caregivers.</p></sec><sec id="st4"><title>Conclusions and Public Health Implications:</title><p>The diets of many HIV-infected children at a specialized treatment center in Tanzania do not meet recommended levels of macro-and micro-nutrients. Food insecurity was a contributory factor. Enhanced dietary counseling and provision of macro- and micro-nutrient supplements will be necessary to achieve optimal nutrition for most HIV-infected children in resource-poor regions.</p></sec></abstract><kwd-group><kwd>HIV</kwd><kwd>Tanzania</kwd><kwd>Children</kwd><kwd>Energy Intake</kwd><kwd>Food Insecurity</kwd><kwd>Micronutrients</kwd></kwd-group></article-meta></front><body><sec sec-type="intro" id="sec1-1"><title>Introduction</title><p>The HIV epidemic has severely impacted the health and nutrition of children living in areas highly affected by the disease. In Tanzania alone, an estimated 160,000 children were living with HIV/AIDS in 2009.[<xref rid="ref1" ref-type="bibr">1</xref>,<xref rid="ref2" ref-type="bibr">2</xref>] Tanzania has high rates of pediatric malnutrition due to beliefs about nutritional needs and preferred foods for children, limited health servic-es,[<xref rid="ref3" ref-type="bibr">3</xref>] and low socioeconomic status.[<xref rid="ref4" ref-type="bibr">4</xref>]</p><p>The combination of malnutrition and HIV introduces a circular attack on immune system function. HIV infection has been associated with increased physical and developmental growth requirements, commonly resulting in symptomatic weight loss. [<xref rid="ref5" ref-type="bibr">5</xref>,<xref rid="ref6" ref-type="bibr">6</xref>] Infection requires increased caloric and protein requirements to fuel viral production and maintain cellular immune response[<xref rid="ref7" ref-type="bibr">7</xref>]. Malabsorption of fats[<xref rid="ref8" ref-type="bibr">8</xref>] and loss of nu-trients[<xref rid="ref9" ref-type="bibr">9</xref>] has been observed during all stages of HIV infection. Poor nutrition has been shown to impair immune response, [<xref rid="ref10" ref-type="bibr">10</xref>] accelerating the progression of disease, and can even serve as a mortality predictor in pediatric HIV cases.[<xref rid="ref11" ref-type="bibr">11</xref>] The continuous cycle of malnutrition and HIV severity indicates that initiation of antiretroviral therapy (ART) is not the only important factor in treating HIV; meeting proper nutritional needs is an essential requirement as well.</p><p>Previous studies from sub-Saharan Africa have examined dietary intake or nutritional status among selected HIV-infected or HIV-exposed infants[<xref rid="ref12" ref-type="bibr">12</xref>,<xref rid="ref13" ref-type="bibr">13</xref>] or children with parasitic intestinal infections[<xref rid="ref14" ref-type="bibr">14</xref>] with severe or moderate malnutrition. However, we are not aware of previous studies that have attempted to quantify dietary intake of macro-and micro-nutrients among an unselected cohort of HIV infected children in sub-Saharan Africa across a broad pediatric age spectrum. This study is a cross-sectional design that assessed nutritional deficiencies among HIV-infected children age 2-14 at different stages of HIV infection at a pediatric care program in Tanzania.</p></sec><sec sec-type="methods" id="sec1-2"><title>Methods</title><sec id="sec2-1"><title>Study Population</title><p>The DarDar Pediatric Program (DPP) is a pediatric HIV care and treatment center in Dar es Salaam jointly operated by Geisel School of Medicine at Dartmouth and Muhimbili University of Health and Allied Sciences (MUHAS). Routine nutritional counseling is provided by trained nurse counselors, and children with moderate to severe malnutrition as defined by the World Health Organization (WHO)[<xref rid="ref15" ref-type="bibr">15</xref>] are seen by an in-house nutritionist for further counseling. Children are provided with daily multivitamins containing 1 mg thiamine HCl, 0.5 mg pyridoxine HCl BP, 1 mg riboflavin BP 1 mg, 15 mg ascorbic acid BP, 7.5 mg nicotinamide BP, and 1 mg cal-D-penthothenate BP. Clinic policy specifies provision of plumpy’nut, a micronutrient fortified ready-to-use therapeutic food for children meeting WHO guidelines for severe malnutrition.</p><p>Study subjects were current patients of the clinic between the ages of 2 and 14 years. Subjects were selected by convenience sampling for an equal distribution across parameters of age and HIV severity. To ensure representation of the entire patient population, subjects were stratified by age into two groups (2-6 years and 7-14 years) and by their most recent CD4 percentage obtained within the last 6 months (>25%, 16%-25%, ≤15%) as recorded in their patient file with the DPP. Data were collected to obtain a sample size of approximately eight subjects per age and CD4 group.</p></sec><sec id="sec2-2"><title>Data Collection</title><p>Subjects were recruited, enrolled, and interviewed during a previously scheduled visit to the DPP clinic, requiring them to stay for an additional hour. Interviews were conducted in Kiswahili by a clinic nurse or nutrition staff member trained by the study team. All interviews were conducted with the child subject and their caregiver (parent, relative, other caregiver) and included a medical history and information to determine household food insecurity. A trained nurse measured the subject’s height, weight, and triceps skinfold-thickness using calibrated instruments regularly used by the clinic staff.</p></sec><sec id="sec2-3"><title>Dietary Assessment</title><p>Dietary intake was evaluated using a multiple pass 24-hour recall to list and quantify all beverages and foods consumed in the previous day.[<xref rid="ref16" ref-type="bibr">16</xref>] Energy, protein and micronutrient intakes were then calculated utilizing the Tanzania Food Composition Tables[<xref rid="ref17" ref-type="bibr">17</xref>].</p><p>We compared estimated intakes to recommendations of the WHO for energy,[<xref rid="ref18" ref-type="bibr">18</xref>] protein[<xref rid="ref19" ref-type="bibr">19</xref>] and micronutrients,[<xref rid="ref20" ref-type="bibr">20</xref>] which are age-and gender-specific. As per WHO guidelines, daily energy intake was increased an additional 10% for individuals with HIV.[<xref rid="ref21" ref-type="bibr">21</xref>] Due to a lack of standardized recommendations for several macronutrients in resource-poor countries, children’s diets were analyzed by percentage of total calories coming from each of the four macronutrient sources: fat, saturated fat, protein, and carbohydrates.</p></sec><sec id="sec2-4"><title>Food Insecurity</title><p>All subject caregivers were admin-istered the Household Food Insecurity Access Scale (HFIAS), which was adapted from the U.S. Agency for International Development (USAID) Food and Nutritional Technical Assistance II Project (FAN-TA-2) to determine availability and accessibility of food in each caregiver’s household.[<xref rid="ref22" ref-type="bibr">22</xref>] An adapted questionnaire contained a total of nine yes or no questions followed by a “frequency-of-occurrence” question. Some questions inquired about the subject caregiver’s perception of food vulnerability while other questions addressed the caregiver’s behavioral responses due to food insecurity. Based on the answers given by the caregiver a score was assigned to each subject ranging from 0 (no insecurity) to 27 (maximum insecurity) and the prevalence of food insecurity for the sample population was determined. Food insecurity prevalence was calculated using previously established guidelines[<xref rid="ref22" ref-type="bibr">22</xref>] that categorize households as food secure, or mildly, moderately or severely food insecure.</p></sec><sec id="sec2-5"><title>Data Analysis</title><p>All data were transcribed from the study forms into a password-protected Excel 2008 spreadsheet. Z-scores were calculated using the Nutristat software program in Epi Info version 7.1.0.6 (U.S. Centers for Disease Control and Pre-vention, Atlanta, GA.). The daily intake of macro-nutrients and micronutrients were compared to the recommended values for each of the study subjects based on the subject’s age and gender. Statistical analyses were conducted using the computer program R version 2.15.1 (Vienna, Austria). Food insecurity scores and categories for each subject were calculated as previously described by USAID FAN-TA-2.[<xref rid="ref22" ref-type="bibr">22</xref>]</p></sec><sec id="sec2-6"><title>Ethical Statement</title><p>This study was conducted according to the guidelines laid down by the Declaration of Helsinki and all procedures involving human subjects were approved by the Committee for the Protection of Human Subjects at Dartmouth College and the Research Ethics Committee at Muhimbili University of Health and Allied Sciences (MUHAS) in Dar es Saalam, Tanzania. Written informed assent was obtained from all study participants aged nine years or older and written informed consent from a caregiver was obtained for study participants under the age of nine years.</p></sec></sec><sec sec-type="results" id="sec1-3"><title>Results</title><sec id="sec2-7"><title>Subjects</title><p>Forty-eight children were enrolled (<xref ref-type="table" rid="T1">Table 1</xref>): 29 (60%) female; median age 6 years; median weight-for-height z-score for children ≤5, 0.69; and median BMI-for-age z-score for children >5, -0.84. Forty-one (85%) children were on antiretroviral therapy (ART), with the most frequent regimens being azidothymidine (AZT)/lamivudine (3TC)/nevirapine (NVP) in 24 subjects (59%) and lamivudine (3TC)/nevirapine (NVP)/stavudine (d4T) in 14 children (34%).</p><table-wrap id="T1" position="float"><label>Table 1</label><caption><p>Selected demographic and anthropometric characteristics of the study participants</p></caption><table frame="hsides" rules="groups" width="100%"><thead><tr><th align="left" rowspan="1" colspan="1">Characteristics</th><th align="left" rowspan="1" colspan="1">Participants, no. (%)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Age, median (range), years</td><td align="left" rowspan="1" colspan="1">6 (2-14)</td></tr><tr><td align="left" rowspan="1" colspan="1">Age Category, years</td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 2-6</td><td align="left" rowspan="1" colspan="1">23 (48%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 7-14</td><td align="left" rowspan="1" colspan="1">25 (52%)</td></tr><tr><td align="left" colspan="2" rowspan="1">Sex</td></tr><tr><td align="left" rowspan="1" colspan="1"> Female</td><td align="left" rowspan="1" colspan="1">29 (60%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> Male</td><td align="left" rowspan="1" colspan="1">19 (40%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Height-for-Age z-scores, median (range)</td><td align="left" rowspan="1" colspan="1">-1.28 (-5.29-1.45)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -2 and ≥ -3 SD (moderate stunting)</td><td align="left" rowspan="1" colspan="1">10 (21%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -3 SD (severe stunting)</td><td align="left" rowspan="1" colspan="1">8 (17%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Weight-for-Age z-scores, median (range)</td><td align="left" rowspan="1" colspan="1">-1.28 (-4.94-1.6)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -2 and ≥ -3 SD (moderate underweight)</td><td align="left" rowspan="1" colspan="1">5 (10%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -3 SD (severe underweight)</td><td align="left" rowspan="1" colspan="1">8 (17%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Weight-for-Height z-scores (age≤5), median (range)</td><td align="left" rowspan="1" colspan="1">0.69 (-1.28-1.51)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -2 and ≥ -3 SD (moderate wasting)</td><td align="left" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -3 SD (severe wasting)</td><td align="left" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" rowspan="1" colspan="1">BMI-for-Age z-scores (age>5), median (range)</td><td align="left" rowspan="1" colspan="1">-0.84 (-2.45-1.55)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -2 and ≥ -3 SD (moderate wasting)</td><td align="left" rowspan="1" colspan="1">3 (6%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> < -3 SD (severe wasting)</td><td align="left" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" colspan="2" rowspan="1">CD4% category</td></tr><tr><td align="left" rowspan="1" colspan="1"> ≤15%</td><td align="left" rowspan="1" colspan="1">15 (31%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 16% - 25%</td><td align="left" rowspan="1" colspan="1">16 (33%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> > 25%</td><td align="left" rowspan="1" colspan="1">17 (35%)</td></tr><tr><td align="left" rowspan="1" colspan="1">ART<sup><xref ref-type="table-fn" rid="t1f1">a</xref></sup> Treatment</td><td align="left" rowspan="1" colspan="1">41 (85%)</td></tr></tbody></table><table-wrap-foot><fn id="t1f1"><label>a</label><p>ART, antiretroviral therapy</p></fn></table-wrap-foot></table-wrap></sec><sec id="sec2-8"><title>Anthropometrics</title><p>Median height-for-age, weight-for-age, and weight-for-height/BMI-for-age z-score values were -1.07, -1.13, and 0.5 for children age 2-6 and -2.02, -1.39, and -1.02 for children age 7-14, respectively. For children age 2-6, 5 (22%) classified at stunted (low height-for-age z-scores), with 2 (9%) at the moderate level and 3 (13%) were severely stunted. Four children (17%) classified as underweight (low weight-for-age z-scores), with 3 (13%) at the moderate level and 1 (4%) was severely underweight. There was 1 child (4%), age 6, with a moderate level of wasting (low BMI-for-age z-score). For children age 7-14, 13 (52%) classified at stunted, with 8 (32%) at the moderate level and 5 (20%) were severely stunted. Nine children (36%) classified as underweight, with 2 (8%) at the moderate level and 7 (28%) were severely underweight. There were 2 children (8%) in this age range with a moderate level of wasting.</p></sec><sec id="sec2-9"><title>Macronutrients</title><p>29 children (60%) had dietary energy intakes that did not meet WHO recommendations for HIV-infected children (<xref ref-type="table" rid="T2">Table 2</xref>). Only 3 children were recorded as having been prescribed plumpy’Nut though none reported consumption on the 24-hour food recall conducted for this study. Deficient energy intake was more common in older children and in children with the lowest CD4 percentages (<xref ref-type="fig" rid="F1">Figure 1</xref>). Anthropometric z-scores were lower for children that did not meet WHO energy recommendations compared to those who did meet recommendations: mean height-for-age (-1.85 vs -1.12, p-value 0.080), weight-for-age (-1.90 vs -0.84, p-value 0.004) and BMI-for-age (-0.90 vs -0.02, p-value 0.006). Only 1 child, age 5, (2%) failed to meet WHO recommendations for protein intake.</p><table-wrap id="T2" position="float"><label>Table 2</label><caption><p>Micronutrient intakes of the study participants compared to World Health Organization recommendations</p></caption><table frame="hsides" rules="groups" width="100%"><thead><tr><th align="left" rowspan="1" colspan="1"> Micronutrient</th><th align="left" rowspan="1" colspan="1">Median (Range)</th><th align="center" rowspan="1" colspan="1">Did not meet recommended values from diet</th><th align="center" rowspan="1" colspan="1">Did not meet recommended values from diet plus vitamin supplement</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Vitamin A (μg RAE)</td><td align="left" rowspan="1" colspan="1">330 (0 – 8758)</td><td align="center" rowspan="1" colspan="1">31 (65%)</td><td align="center" rowspan="1" colspan="1">31 (65%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin D (μg)</td><td align="left" rowspan="1" colspan="1">0 (0 – 3)</td><td align="center" rowspan="1" colspan="1">48 (100%)</td><td align="center" rowspan="1" colspan="1">48 (100%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin E (mg)</td><td align="left" rowspan="1" colspan="1">4 (0 – 13)</td><td align="center" rowspan="1" colspan="1">37 (77%)</td><td align="center" rowspan="1" colspan="1">37 (77%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin C (mg)</td><td align="left" rowspan="1" colspan="1">67 (1 – 213)</td><td align="center" rowspan="1" colspan="1">10 (21%)</td><td align="center" rowspan="1" colspan="1">8 (17%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Thiamine (mg)</td><td align="left" rowspan="1" colspan="1">0.6 (0.1 – 1.2)</td><td align="center" rowspan="1" colspan="1">37 (77%)</td><td align="center" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Riboflavin (mg)</td><td align="left" rowspan="1" colspan="1">0.5 (0 – 18)</td><td align="center" rowspan="1" colspan="1">38 (79%)</td><td align="center" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Niacin (mg)</td><td align="left" rowspan="1" colspan="1">8 (3 – 15)</td><td align="center" rowspan="1" colspan="1">32 (67%)</td><td align="center" rowspan="1" colspan="1">32 (67%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin B<sub>6</sub> (mg)</td><td align="left" rowspan="1" colspan="1">1.1 (0.5 – 20)</td><td align="center" rowspan="1" colspan="1">5 (10%)</td><td align="center" rowspan="1" colspan="1">0 (0%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Folate (μg)</td><td align="left" rowspan="1" colspan="1">203 (79 – 535)</td><td align="center" rowspan="1" colspan="1">32 (67%)</td><td align="center" rowspan="1" colspan="1">32 (67%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Vitamin B<sub>12</sub> (μg)</td><td align="left" rowspan="1" colspan="1">0.5 (0 – 46)</td><td align="center" rowspan="1" colspan="1">36 (75%)</td><td align="center" rowspan="1" colspan="1">36 (75%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Calcium (mg)</td><td align="left" rowspan="1" colspan="1">255 (29 – 1303)</td><td align="center" rowspan="1" colspan="1">46 (96%)</td><td align="center" rowspan="1" colspan="1">46 (96%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Iron (mg)</td><td align="left" rowspan="1" colspan="1">8 (2-16)</td><td align="center" rowspan="1" colspan="1">17 (35%)</td><td align="center" rowspan="1" colspan="1">17 (35%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Zinc (mg)</td><td align="left" rowspan="1" colspan="1">5 (1 – 9)</td><td align="center" rowspan="1" colspan="1">25 (52%)</td><td align="center" rowspan="1" colspan="1">25 (52%)</td></tr></tbody></table></table-wrap><fig id="F1" position="float"><label>Figure 1</label><caption><p>Proportion of children who did not meet energy recommendations by age and CD4%</p></caption><graphic xlink:href="IJMA-2-220-g001"></graphic></fig><p>An average of 32% of the children’s caloric intake came from fat and 20% came from saturated fat. Eight percent of calories came from protein and 60% from carbohydrates. These percentages were similar between the two age groups with the exception of saturated fat, which constituted a higher proportion of caloric intake in children age 7-14 than children age 2-6 (25% vs 16%, p-value = 0.0002).</p></sec><sec id="sec2-10"><title>Micronutrients</title><p>Micronutrient intakes from diet alone and from diet plus the multivitamin supplement are shown in <xref ref-type="table" rid="T2">Table 2</xref>. Although a total of 38 (79%) children reported receiving the multivitamin supplement, clinic staff reported that compliance was often poor especially among older children. Based on dietary sources alone, greater than 50% of the children had intakes that were deficient in the following micronutrients: vitamin A, vitamin D, vitamin E, niacin, folate, vitamin B<sub>12</sub>, calcium, and zinc; over 95% of children had deficient dietary intake of vitamin D and calcium. Assuming all 38 children were taking the multivitamin, 8 (21%) remained deficient in vitamin C intake, but none remained deficient in thiamine, riboflavin, or vitamin B<sub>6</sub>.</p><p>Children with a height-for-age z-score below or equal to -2 or weight-for age-scores below -2 had lower reported dietary vitamin D intake than those with a score above -2 (p=0.04 for both comparisons). Children with height-for-age z-scores below -3 had lower intakes of vitamin E and calcium than subjects whose z-scores were above -3 (p-values both 0.01).</p><p>Children with weight-for-age z-scores below or equal to -3 had lower reported vitamin E intake than those with a score above -3 (p-value = 0.007).</p></sec><sec id="sec2-11"><title>Food Insecurity</title><p>The median Food Insecurity score was 1 (range 0 to 11), with 39 (81%) of caregivers responding affirmatively to one or more questions regarding anxiety and uncertainty about household food income and 18 (38%) reporting some form of insufficient food quality and intake for one or more household members. Overall, 20 (42%) households were categorized as food secure, 18 (37%) as mildly or moderately food secure and 10 (21%) as severely food insecure. Milk and fish consumption were more frequent in food secure households. All 48 caregivers (100%) indicated that subjects consumed grains on a daily basis, including rice boiled with oil (73%), maize <italic>ugali</italic> (60%), and mixed flour porridge (41%). More saturated fat (e.g., from cooking oil) was consumed on average by subjects whose households were classified as food secure than subjects from households with some level of food insecurity.
</p></sec></sec><sec sec-type="discussion" id="sec1-4"><title>Discussion</title><p>In 60% of the children in our study, energy intake was below recommended values. A wide spectrum of micronutrient deficiencies was documented and more than 50% of households reported some degree of food insecurity. We found 38% of children to be stunted, 27% to be underweight and 6% to be wasted.</p><p>It is estimated that 44% of children under the age of five are moderately to severely stunted while 17% and 7% suffer from severe underweight and wasting, respectively in Tanzania.[<xref rid="ref2" ref-type="bibr">2</xref>] Furthermore, a study among children in an age range similar to our cohort demonstrated that HIV-positive children were four times more likely to be underweight and almost 10 times more likely to be wasted as HIV-negative children.[<xref rid="ref23" ref-type="bibr">23</xref>] In our study, anthropometric z-scores were lower for children who did not meet WHO energy recommendations compared to those who met the recommendations.</p><p>When considering intake from diet alone, over half of the children had inadequate intakes of 11 of the 13 micronutrients surveyed in this study including many that are essential for optimal growth and immune function. While children with better growth had higher energy intakes, this appeared to come from foods higher in fat and sugar as protein intake was similar to malnourished children; they also had inadequate intakes of many micronutrients. This underscores the need for improved dietary diversity in children living with HIV with an emphasis on a balanced diet with nutrient dense foods that are culturally appropriate.</p><p>The majority of children in our study (88-100%) did not meet the recommended dietary intake of vitamin E, calcium and vitamin D. Multiple other studies have documented deficiencies of these micronutrients in adults and children with HIV infection. [<xref rid="ref24" ref-type="bibr">24</xref>,<xref rid="ref25" ref-type="bibr">25</xref>] These micronutrients are important for effective immune function and deficiencies have been associated with increased risk of HIV disease progression including an increased risk of opportunistic infection.[<xref rid="ref26" ref-type="bibr">26</xref>] Though we did not assess serum levels of micronutrients, they would be expected to be low and potentially affect absorption, pharmacokinetics, and toxicity of ART.[<xref rid="ref27" ref-type="bibr">27</xref>] Children who were stunted or underweight had lower dietary intake of vitamin D and vitamin E. Bueno et al also reported low dietary intake of vitamin D in Brazil among stunted children and adolescents regardless of their HIV status.[<xref rid="ref28" ref-type="bibr">28</xref>] A study done in pregnant women in Tanzania showed that when infants of mothers with low vitamin D levels, they were 29% more likely to be stunted and 33% more likely to be underweight than infants of mothers with normal vitamin D levels. [<xref rid="ref29" ref-type="bibr">29</xref>] These micronutrients play a critical role in optimal growth and development of the child.</p><p>Collectively, our findings suggest that the choice of routine micronutrient in our clinic should be revaluated. The multivitamin currently being used indicates that routine supplementation can be effective in reducing dietary micronutrient deficiencies, as was seen for thiamine and riboflavin. However, our standard multivitamin targets micronutrients that had low dietary deficiency rates within our population (vitamins C and B<sub>6</sub>), and omits the majority of micronutrients that have high rates of dietary deficiency.</p><p>We found that more than half of the study house-holds were food insecure. Other studies have also reported high levels of food insecurity among HIV infected individuals living in low-income families in developing countries, especially in families with young children.[<xref rid="ref30" ref-type="bibr">30</xref>] Food insecurity is likely to be an important contributing factor to the dietary deficiencies observed. Although we did not look at the association between food insecurity and ART compliance, other studies have reported a significant association between food insecurity and ART non-adherence.[<xref rid="ref31" ref-type="bibr">31</xref>]</p><sec id="sec2-12"><title>Study Limitations</title><p>There are several limitations of the present study including the small convenience-based sample. However, we did select children from a range of ages and HIV disease severity. We did not have a means to accurately assess if children were taking the multivitamin supplements they were provided nor did we measure serum levels of micronutrients. Thus, though our calculations of dietary micronutrient intake are likely to be valid, our estimates of combined dietary and supplemental micronutrient deficiency may underestimate deficiencies for the 4 micronutrients in the supplement that were quantified in this study.</p></sec></sec><sec id="sec1-5"><title>Conclusions and Public Health Implications</title><p>We found growth deficiencies as well as significant dietary energy and micronutrient deficits among HIV-infected children under care in a specialty HIV program which provided routine nutritional counseling and a vitamin supplement. These findings suggest a need for enhanced dietary education with an emphasis on a culturally appropriate, diverse diet of high nutrient density, provision of macronutrient supplementation to children with energy deficient diets, and routine administration of a broader micronutrient supplement to HIV-infected children in resource limited regions.</p></sec></body><back><ack><title>Acknowledgements:</title><p><italic>The authors acknowledge the following for their assistance with this study: Janeth Naubutu and other DPP clinic nurses and staff, and the many Tanzanian children and their caregivers who volunteered for this study</italic>.</p></ack><fn-group><fn fn-type="financial-disclosure"><p><bold>Financial Disclosure:</bold><italic>None</italic>;</p></fn><fn fn-type="supported-by"><p><bold>Funding Support:</bold><italic>This work was supported by the Fogarty International Center, Foundation for Treatment of Children with AIDS [D43-TW006807]</italic>.</p></fn><fn fn-type="conflict"><p><bold>Conflicts of Interest:</bold><italic>No authors have financial interests that pose a conflict of interest</italic>.</p></fn></fn-group><ref-list><title>References</title><ref id="ref1"><label>1</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Villamor</surname><given-names>E</given-names></name><name><surname>Misegades</surname><given-names>L</given-names></name><name><surname>Fataki</surname><given-names>MR</given-names></name><name><surname>Mbise</surname><given-names>RL</given-names></name><name><surname>Fawzi</surname><given-names>WW</given-names></name></person-group><article-title>Child mortality in relation to HIV infection, nutritional status, and socio-economic background</article-title><source>International Journal of Epidemiology</source><year>2005</year><volume>34</volume><fpage>61</fpage><lpage>68</lpage><pub-id pub-id-type="pmid">15649965</pub-id></element-citation></ref><ref id="ref2"><label>2</label><element-citation publication-type="webpage"><collab>UNICEF</collab><source>Statistics for Tanzania, United Republic of 2009</source><date-in-citation>Accessed on 1/7/2013</date-in-citation><comment>Available at:
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