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BACKGROUND: Most assessments of the burden of obesity in nutrition transition contexts rely on body mass index (BMI) only, even though abdominal adiposity might be specifically predictive of adverse health outcomes. In Tunisia, a typical country of the Middle East and North Africa (MENA) region, where the burden of obesity is especially high among women, we compared female abdominal vs. overall obesity and its geographic and socio-economic cofactors, both at population and within-subject levels. METHODS: The cross-sectional study used a stratified, three-level, clustered sample of 35- to 70-year-old women (n = 2,964). Overall obesity was BMI = weight/height(2) ≥ 30 kg/m(2) and abdominal obesity waist circumference ≥ 88 cm. We quantified the burden of obesity for overall and abdominal obesity separately and their association with place of residence (urban/rural, the seven regions that compose Tunisia), plus physiological and socio-economic cofactors by logistic regression. We studied the within-subject concordance of the two obesities and estimated the prevalence of subject-level "abdominal-only" obesity (AO) and "overall-only" obesity (OO) and assessed relationships with the cofactors by multinomial logistic regression. RESULTS: Abdominal obesity was much more prevalent (60.4% [57.7-63.0]) than overall obesity (37.0% [34.5-39.6]), due to a high proportion of AO status (25.0% [22.8-27.1]), while the proportion of OO was small (1.6% [1.1-2.2]). We found mostly similar associations between abdominal and overall obesity and all the cofactors except that the regional variability of abdominal obesity was much larger than that of overall obesity. There were no adjusted associations of AO status with urban/rural area of residence (P = 0.21), education (P = 0.97) or household welfare level (P = 0.94) and only non-menopausal women (P = 0.093), lower parity women (P = 0.061) or worker/employees (P = 0.038) were somewhat less likely to be AO. However, there was a large residual adjusted regional variability of AO status (from 16.6% to 34.1%, adjusted P < 0.0001), possibly of genetic, epigenetic, or developmental origins. CONCLUSION: Measures of abdominal adiposity need to be included in population-level appraisals of the burden of obesity, especially among women in the MENA region. The causes of the highly prevalent abdominal-only obesity status among women require further investigation.
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INTRODUCTION: The epidemiological transition has resulted in a major increase in the prevalence of obesity in North Africa. This study investigated differences in obesity and its association with area of residence, gender and socio-economic position among adults in Algeria and Tunisia, two countries with socio-economic and socio-cultural similarities. METHODS: Cross-sectional studies used stratified, three-level, clustered samples of 35-70 year old adults in Algeria, (women nâ=â2741, men nâ=â2004) and Tunisia (women nâ=â2964, men nâ=â2379). Thinness was defined as Body Mass Index (BMI)â=âweight/height <18.5 kg/m(2), obesity as BMI ≥30, and abdominal obesity as waist circumference/height ≥0.6. Associations with area of residence, gender, age, education, profession and household welfare were assessed. RESULTS: Prevalence of thinness was very low except among men in Algeria (7.3% C.I.[5.9-8.7]). Prevalence of obesity among women was high in Algeria (30.1% C.I.[27.8-32.4]) and Tunisia (37.0% C.I.[34.4-39.6]). It was less so among men (9.1% C.I.[7.1-11.0] and 13.3% C.I.[11.2-15.4]).The results were similar for abdominal obesity. In both countries women were much more obesity-prone than men: the women versus men obesity Odds-Ratio was 4.3 C.I.[3.4-5.5] in Algeria and 3.8 C.I.[3.1-4.7] in Tunisia. Obesity was more prevalent in urban versus rural areas in Tunisia, but not in Algeria (e.g. for women, urban versus rural Odds-Ratio was 2.4 C.I.[1.9-3.1] in Tunisia and only 1.2 C.I.[1.0-5.5] in Algeria). Obesity increased with household welfare, but more markedly in Tunisia, especially among women. Nevertheless, in both countries, even in the lowest quintile of welfare, a fifth of the women were obese. CONCLUSION: The prevention of obesity, especially in women, is a public health issue in both countries, but there were differences in the patterning of obesity according to area of residence and socio-economic position. These specificities must be taken into account in the management of obesity inequalities.
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Obesidade/epidemiologia , Magreza/epidemiologia , Adulto , Idoso , Argélia/epidemiologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Obesidade/etiologia , Prevalência , Fatores de Risco , População Rural , Fatores Sexuais , Fatores Socioeconômicos , Magreza/etiologia , Tunísia/epidemiologia , População UrbanaRESUMO
INTRODUCTION: 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. METHODS: Cross-sectional survey in 2005; national, 3 level random cluster sample of 35-70 years Tunisians (women: nâ=â2964, men: nâ=â2379). Overall adiposity was assessed by BMIâ=âweight(kg)/height(m)(2) and obesity was BMI≥30, WHtRâ=âwaist 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). RESULTS: 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%, ORâ=â3.8[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 (ORâ=â3.3[1.3-8.7]) than rural (ORâ=â2.0[0.7-5.5]) areas. These gender obesity inequalities were lower for subjects with secondary education or more (ORâ=â3.3[1.3-8.6]), than among those with no schooling (ORâ=â6.9[2.0-23.3]). They were also lower for those with upper/intermediate profession (ORâ=â1.4[0.5-4.3]) or even employees/workers ORâ=â2.3[1.0-5.4] than those not professionaly active at all (ORâ=â3.3[1.3-8.6]). Similar results were observed for addominal obesity. CONCLUSION: 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.
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Obesidade Abdominal/epidemiologia , Adiposidade , Adulto , Idoso , Índice de Massa Corporal , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , População Rural , Fatores Sexuais , Fatores Socioeconômicos , Tunísia/epidemiologia , População UrbanaRESUMO
OBJECTIVE: We aimed to assess the acute myocardial infarction management in Tunis public hospitals during one year (from March 2000 to February 2001). METHOD: A standard questionnaire was designed to record prospective data on 740 patients with a follow up during 28 days. Multivariate analysis was performed using the logistic regression model with all-factors as well as age, gender, CHD risk factors as predictors of the delay and fatality. 54% of patients were admitted during the first 6 hours after the onset of symptoms. In multivariate analysis, the delay of consultation is significantly correlated with gender (OR = 2.3, p < 0.001), age (OR = 1.02, p < 0.01) and health insurance (OR = 1.5, p < 0.01). 90% of patients consulted in emergency wards. The emergency ambulance transported 19.6% of patients. 48% of patients underwent early revascularisation of thrombolysis, 51% on men vs 31% on women (p < 0.01). The fatality rate was higher on women 14% vs 6.4% on men (p < 0.01) at 5 days and 27.2% vs 13.6% at 28 days. In multivariate analysis, the principal fatality predictive factor was age (RR = 1.08, p < 0.001) and delay (2.56 p < 0.001) and tobacco smoking (RR = 2.83, p < 0.0001). CONCLUSION: This study highlighted the problem of acute myocardial infarction management in public hospitals in Tunisia and it constitutes a baseline to assess different interventions focusing on cardiovascular diseases control and surveillance.