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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Gender differences in diet and nutrition among adults initiating anti-retroviral therapy in Dar es salaam, Tanzania</title><author><name sortKey="Abioye, Ajibola I" sort="Abioye, Ajibola I" uniqKey="Abioye A" first="Ajibola I" last="Abioye">Ajibola I. Abioye</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Isanaka, Sheila" sort="Isanaka, Sheila" uniqKey="Isanaka S" first="Sheila" last="Isanaka">Sheila Isanaka</name><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Liu, Enju" sort="Liu, Enju" uniqKey="Liu E" first="Enju" last="Liu">Enju Liu</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Mwiru, Ramadhani S" sort="Mwiru, Ramadhani S" uniqKey="Mwiru R" first="Ramadhani S." last="Mwiru">Ramadhani S. Mwiru</name><affiliation><nlm:aff id="A3">Management and Development for Health, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Noor, Ramadhani A" sort="Noor, Ramadhani A" uniqKey="Noor R" first="Ramadhani A." last="Noor">Ramadhani A. Noor</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Spiegelman, Donna" sort="Spiegelman, Donna" uniqKey="Spiegelman D" first="Donna" last="Spiegelman">Donna Spiegelman</name><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Department of Epidemiology, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Department of Biostatistics, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Mugusi, Ferdinand" sort="Mugusi, Ferdinand" uniqKey="Mugusi F" first="Ferdinand" last="Mugusi">Ferdinand Mugusi</name><affiliation><nlm:aff id="A4">Department of Epidemiology, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Fawzi, Wafaie" sort="Fawzi, Wafaie" uniqKey="Fawzi W" first="Wafaie" last="Fawzi">Wafaie Fawzi</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Department of Biostatistics, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25562355</idno><idno type="pmc">4366319</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366319</idno><idno type="RBID">PMC:4366319</idno><idno type="doi">10.1080/09540121.2014.996517</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">001E14</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001E14</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Gender differences in diet and nutrition among adults initiating anti-retroviral therapy in Dar es salaam, Tanzania</title><author><name sortKey="Abioye, Ajibola I" sort="Abioye, Ajibola I" uniqKey="Abioye A" first="Ajibola I" last="Abioye">Ajibola I. Abioye</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Isanaka, Sheila" sort="Isanaka, Sheila" uniqKey="Isanaka S" first="Sheila" last="Isanaka">Sheila Isanaka</name><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Liu, Enju" sort="Liu, Enju" uniqKey="Liu E" first="Enju" last="Liu">Enju Liu</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Mwiru, Ramadhani S" sort="Mwiru, Ramadhani S" uniqKey="Mwiru R" first="Ramadhani S." last="Mwiru">Ramadhani S. Mwiru</name><affiliation><nlm:aff id="A3">Management and Development for Health, Dar es Salaam, Tanzania</nlm:aff></affiliation></author><author><name sortKey="Noor, Ramadhani A" sort="Noor, Ramadhani A" uniqKey="Noor R" first="Ramadhani A." last="Noor">Ramadhani A. Noor</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Spiegelman, Donna" sort="Spiegelman, Donna" uniqKey="Spiegelman D" first="Donna" last="Spiegelman">Donna Spiegelman</name><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A4">Department of Epidemiology, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Department of Biostatistics, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Mugusi, Ferdinand" sort="Mugusi, Ferdinand" uniqKey="Mugusi F" first="Ferdinand" last="Mugusi">Ferdinand Mugusi</name><affiliation><nlm:aff id="A4">Department of Epidemiology, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author><author><name sortKey="Fawzi, Wafaie" sort="Fawzi, Wafaie" uniqKey="Fawzi W" first="Wafaie" last="Fawzi">Wafaie Fawzi</name><affiliation><nlm:aff id="A1">Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A2">Department of Nutrition, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation><affiliation><nlm:aff id="A5">Department of Biostatistics, Harvard School of Public Health, Boston MA, US</nlm:aff></affiliation></author></analytic><series><title level="j">AIDS care</title><idno type="ISSN">0954-0121</idno><idno type="eISSN">1360-0451</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">HIV infected males have poor treatment outcomes after initiation of antiretroviral therapy (ART) compared to HIV-infected women. Dietary factors might mediate the association between sex and disease progression. However, the gender difference in diet among HIV-infected individuals in sub-Saharan Africa is largely unknown. The objective of this study was to examine differences in dietary intake among HIV-infected men and women. We conducted a cross-sectional analysis of dietary questionnaire data from 2038 adults initiating ART in Dar es Salaam, Tanzania to assess whether nutrient adequacy differed by sex. We dichotomized participants’ nutrient intakes by whether recommended dietary allowances (RDAs) were met and estimated the relative risk of meeting RDAs in males using binomial regression models. We also estimated the mean difference in intake of foods and food groups by gender. We found poorer dietary practices among men compared to women. Males were less likely to meet the RDAs for micronutrients critical for slowing disease progression among HIV patients: niacin (RR=0.39, 95% confidence interval (CI): 0.27 – 0.55), riboflavin (RR=0.81, 95% CI: 0.73 - 0.91), vitamin C (RR=0.94, 95% CI: 0.89 - 1.00), and zinc (RR=0.06, 95% CI: 0.01 – 0.24). Intake of thiamine, pantothenate, vitamins B6, B12, and E did not vary by gender. Males were less likely to eat cereals (mean difference (servings per day) = −0.21, 95% CI: −0.44 to 0.001) and vegetables (mean difference= −0.47, 95% CI: −0.86 to −0.07) in their diet, but more likely to have meat (mean difference= 0.14, 95% CI: 0.06 to 0.21). We conclude that male HIV patients have poorer dietary practices than females, and this may contribute to faster progression of the disease in males.</p></div></front></TEI><pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8915313</journal-id><journal-id journal-id-type="pubmed-jr-id">1056</journal-id><journal-id journal-id-type="nlm-ta">AIDS Care</journal-id><journal-id journal-id-type="iso-abbrev">AIDS Care</journal-id><journal-title-group><journal-title>AIDS care</journal-title></journal-title-group><issn pub-type="ppub">0954-0121</issn><issn pub-type="epub">1360-0451</issn></journal-meta><article-meta><article-id pub-id-type="pmid">25562355</article-id><article-id pub-id-type="pmc">4366319</article-id><article-id pub-id-type="doi">10.1080/09540121.2014.996517</article-id><article-id pub-id-type="manuscript">NIHMS648967</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Gender differences in diet and nutrition among adults initiating anti-retroviral therapy in Dar es salaam, Tanzania</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Abioye</surname><given-names>Ajibola I</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Isanaka</surname><given-names>Sheila</given-names></name><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Enju</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Mwiru</surname><given-names>Ramadhani S.</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Noor</surname><given-names>Ramadhani A.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Spiegelman</surname><given-names>Donna</given-names></name><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A4">4</xref><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Mugusi</surname><given-names>Ferdinand</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Fawzi</surname><given-names>Wafaie</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref ref-type="aff" rid="A5">5</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Global Health and Population, Harvard School of Public Health, Boston MA, US</aff><aff id="A2"><label>2</label>Department of Nutrition, Harvard School of Public Health, Boston MA, US</aff><aff id="A3"><label>3</label>Management and Development for Health, Dar es Salaam, Tanzania</aff><aff id="A4"><label>4</label>Department of Epidemiology, Harvard School of Public Health, Boston MA, US</aff><aff id="A5"><label>5</label>Department of Biostatistics, Harvard School of Public Health, Boston MA, US</aff><aff id="A6"><label>6</label>Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania</aff><author-notes><corresp id="CR1">Address correspondence to: <bold>Ajibola I Abioye,</bold> Department of Global Health and Population, Harvard School of Public Health, 1633 Tremont street, Boston MA, US. <email>iabioye@hsph.harvard.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>17</day><month>12</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>06</day><month>1</month><year>2015</year></pub-date><pub-date pub-type="ppub"><month>6</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>6</month><year>2016</year></pub-date><volume>27</volume><issue>6</issue><fpage>706</fpage><lpage>715</lpage><pmc-comment>elocation-id from pubmed: 10.1080/09540121.2014.996517</pmc-comment>
<abstract><p id="P1">HIV infected males have poor treatment outcomes after initiation of antiretroviral therapy (ART) compared to HIV-infected women. Dietary factors might mediate the association between sex and disease progression. However, the gender difference in diet among HIV-infected individuals in sub-Saharan Africa is largely unknown. The objective of this study was to examine differences in dietary intake among HIV-infected men and women. We conducted a cross-sectional analysis of dietary questionnaire data from 2038 adults initiating ART in Dar es Salaam, Tanzania to assess whether nutrient adequacy differed by sex. We dichotomized participants’ nutrient intakes by whether recommended dietary allowances (RDAs) were met and estimated the relative risk of meeting RDAs in males using binomial regression models. We also estimated the mean difference in intake of foods and food groups by gender. We found poorer dietary practices among men compared to women. Males were less likely to meet the RDAs for micronutrients critical for slowing disease progression among HIV patients: niacin (RR=0.39, 95% confidence interval (CI): 0.27 – 0.55), riboflavin (RR=0.81, 95% CI: 0.73 - 0.91), vitamin C (RR=0.94, 95% CI: 0.89 - 1.00), and zinc (RR=0.06, 95% CI: 0.01 – 0.24). Intake of thiamine, pantothenate, vitamins B6, B12, and E did not vary by gender. Males were less likely to eat cereals (mean difference (servings per day) = −0.21, 95% CI: −0.44 to 0.001) and vegetables (mean difference= −0.47, 95% CI: −0.86 to −0.07) in their diet, but more likely to have meat (mean difference= 0.14, 95% CI: 0.06 to 0.21). We conclude that male HIV patients have poorer dietary practices than females, and this may contribute to faster progression of the disease in males.</p></abstract><kwd-group><kwd>HIV</kwd><kwd>Acquired immunodeficiency syndrome</kwd><kwd>nutritional sciences</kwd><kwd>nutritional status</kwd><kwd>food policy</kwd></kwd-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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