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Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia
Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults. Cross...
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Published in: | PloS one 2012-10, Vol.7 (10), p.e48153 |
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creator | El Ati, Jalila Traissac, Pierre Delpeuch, Francis Aounallah-Skhiri, Hajer Béji, Chiraz Eymard-Duvernay, Sabrina Bougatef, Souha Kolsteren, Patrick Maire, Bernard Ben Romdhane, Habiba |
description | Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults.
Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379). Overall adiposity was assessed by BMI = weight(kg)/height(m)(2) and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR); models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural), age, marital status or socio-economic position (profession, education, household income proxy).
BMI was much higher among women (28.4(0.2)) versus men (25.3(0.1)), P |
doi_str_mv | 10.1371/journal.pone.0048153 |
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Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379). Overall adiposity was assessed by BMI = weight(kg)/height(m)(2) and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR); models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural), age, marital status or socio-economic position (profession, education, household income proxy).
BMI was much higher among women (28.4(0.2)) versus men (25.3(0.1)), P<0.0001) as was obesity (37.0% versus 13.3%, OR = 3.8[3.1-7.4], P<0.0001) and abdominal obesity (42.6% versus 15.6%, 4.0[3.3-4.8], P<0.0001). Gender obesity inequalities (women versus men adjusted OR) were higher in urban (OR = 3.3[1.3-8.7]) than rural (OR = 2.0[0.7-5.5]) areas. These gender obesity inequalities were lower for subjects with secondary education or more (OR = 3.3[1.3-8.6]), than among those with no schooling (OR = 6.9[2.0-23.3]). They were also lower for those with upper/intermediate profession (OR = 1.4[0.5-4.3]) or even employees/workers OR = 2.3[1.0-5.4] than those not professionaly active at all (OR = 3.3[1.3-8.6]). Similar results were observed for addominal obesity.
The huge overall gender obesity inequities (women much more corpulent than men) were higher in urban settings, but lower among subjects of higher education and professional activity. Reasons for gender inequalities in obesity and their variation with socio-economic position should be sought so that appropriate policies to reduce these inequalities can be implemented in Tunisia and similar settings.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0048153</identifier><identifier>PMID: 23118943</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adipose tissue ; Adiposity ; Adult ; Adults ; Aged ; Analysis ; Body mass ; Body Mass Index ; Body measurements ; Cross-Sectional Studies ; Economic aspects ; Economics ; Education ; Female ; Gender equality ; Households ; Humans ; Inequalities ; Male ; Medicine ; Men ; Middle Aged ; Nutrition ; Obesity ; Obesity, Abdominal - epidemiology ; Occupational health ; Prevalence ; Profession ; Rural areas ; Rural Population ; Sex Factors ; Social and Behavioral Sciences ; Socioeconomic Factors ; Socioeconomics ; Surveys ; Tunisia - epidemiology ; Urban environments ; Urban Population ; Womens health</subject><ispartof>PloS one, 2012-10, Vol.7 (10), p.e48153</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 El Ati et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2012 El Ati et al 2012 El Ati et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-b9f6ca55c9bb2dd971353205d5ab66f693960c17f947d611447d0edae3f09f33</citedby><cites>FETCH-LOGICAL-c692t-b9f6ca55c9bb2dd971353205d5ab66f693960c17f947d611447d0edae3f09f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1326562464/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1326562464?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,44590,53791,53793,74998</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23118943$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schooling, C. Mary</contributor><creatorcontrib>El Ati, Jalila</creatorcontrib><creatorcontrib>Traissac, Pierre</creatorcontrib><creatorcontrib>Delpeuch, Francis</creatorcontrib><creatorcontrib>Aounallah-Skhiri, Hajer</creatorcontrib><creatorcontrib>Béji, Chiraz</creatorcontrib><creatorcontrib>Eymard-Duvernay, Sabrina</creatorcontrib><creatorcontrib>Bougatef, Souha</creatorcontrib><creatorcontrib>Kolsteren, Patrick</creatorcontrib><creatorcontrib>Maire, Bernard</creatorcontrib><creatorcontrib>Ben Romdhane, Habiba</creatorcontrib><title>Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults.
Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379). Overall adiposity was assessed by BMI = weight(kg)/height(m)(2) and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR); models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural), age, marital status or socio-economic position (profession, education, household income proxy).
BMI was much higher among women (28.4(0.2)) versus men (25.3(0.1)), P<0.0001) as was obesity (37.0% versus 13.3%, OR = 3.8[3.1-7.4], P<0.0001) and abdominal obesity (42.6% versus 15.6%, 4.0[3.3-4.8], P<0.0001). Gender obesity inequalities (women versus men adjusted OR) were higher in urban (OR = 3.3[1.3-8.7]) than rural (OR = 2.0[0.7-5.5]) areas. These gender obesity inequalities were lower for subjects with secondary education or more (OR = 3.3[1.3-8.6]), than among those with no schooling (OR = 6.9[2.0-23.3]). They were also lower for those with upper/intermediate profession (OR = 1.4[0.5-4.3]) or even employees/workers OR = 2.3[1.0-5.4] than those not professionaly active at all (OR = 3.3[1.3-8.6]). Similar results were observed for addominal obesity.
The huge overall gender obesity inequities (women much more corpulent than men) were higher in urban settings, but lower among subjects of higher education and professional activity. Reasons for gender inequalities in obesity and their variation with socio-economic position should be sought so that appropriate policies to reduce these inequalities can be implemented in Tunisia and similar settings.</description><subject>Adipose tissue</subject><subject>Adiposity</subject><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Analysis</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>Cross-Sectional Studies</subject><subject>Economic aspects</subject><subject>Economics</subject><subject>Education</subject><subject>Female</subject><subject>Gender equality</subject><subject>Households</subject><subject>Humans</subject><subject>Inequalities</subject><subject>Male</subject><subject>Medicine</subject><subject>Men</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Obesity, Abdominal - epidemiology</subject><subject>Occupational health</subject><subject>Prevalence</subject><subject>Profession</subject><subject>Rural areas</subject><subject>Rural Population</subject><subject>Sex Factors</subject><subject>Social and Behavioral Sciences</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Surveys</subject><subject>Tunisia - 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Mary</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-10-31</date><risdate>2012</risdate><volume>7</volume><issue>10</issue><spage>e48153</spage><pages>e48153-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Southern Mediterranean countries have experienced a marked increase in the prevalence of obesity whose consequences for gender related health inequities have been little studied. We assessed gender obesity inequalities and their environmental and socio-economic modifiers among Tunisian adults.
Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: n = 2964, men: n = 2379). Overall adiposity was assessed by BMI = weight(kg)/height(m)(2) and obesity was BMI≥30, WHtR = waist circumference to height ratio defined abdominal obesity as WHtR≥0.6. Gender obesity inequality measure was women versus men Prevalence Proportion Odds-Ratio (OR); models featuring gender x covariate interaction assessed variation of gender obesity inequalities with area (urban versus rural), age, marital status or socio-economic position (profession, education, household income proxy).
BMI was much higher among women (28.4(0.2)) versus men (25.3(0.1)), P<0.0001) as was obesity (37.0% versus 13.3%, OR = 3.8[3.1-7.4], P<0.0001) and abdominal obesity (42.6% versus 15.6%, 4.0[3.3-4.8], P<0.0001). Gender obesity inequalities (women versus men adjusted OR) were higher in urban (OR = 3.3[1.3-8.7]) than rural (OR = 2.0[0.7-5.5]) areas. These gender obesity inequalities were lower for subjects with secondary education or more (OR = 3.3[1.3-8.6]), than among those with no schooling (OR = 6.9[2.0-23.3]). They were also lower for those with upper/intermediate profession (OR = 1.4[0.5-4.3]) or even employees/workers OR = 2.3[1.0-5.4] than those not professionaly active at all (OR = 3.3[1.3-8.6]). Similar results were observed for addominal obesity.
The huge overall gender obesity inequities (women much more corpulent than men) were higher in urban settings, but lower among subjects of higher education and professional activity. Reasons for gender inequalities in obesity and their variation with socio-economic position should be sought so that appropriate policies to reduce these inequalities can be implemented in Tunisia and similar settings.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23118943</pmid><doi>10.1371/journal.pone.0048153</doi><tpages>e48153</tpages><oa>free_for_read</oa></addata></record> |
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recordid | cdi_plos_journals_1326562464 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Adipose tissue Adiposity Adult Adults Aged Analysis Body mass Body Mass Index Body measurements Cross-Sectional Studies Economic aspects Economics Education Female Gender equality Households Humans Inequalities Male Medicine Men Middle Aged Nutrition Obesity Obesity, Abdominal - epidemiology Occupational health Prevalence Profession Rural areas Rural Population Sex Factors Social and Behavioral Sciences Socioeconomic Factors Socioeconomics Surveys Tunisia - epidemiology Urban environments Urban Population Womens health |
title | Gender obesity inequities are huge but differ greatly according to environment and socio-economics in a North African setting: a national cross-sectional study in Tunisia |
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