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Accounting for the multidimensional nature of the relationship between adult obesity and socio-economic status : the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07)

机译:解释成人肥胖与社会经济地位之间关系的多维性质:法国第二次全国食物消费量个人调查(INCA 2)饮食调查(2006-07年)

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摘要

The objective was to study the multidimensional nature of the relationship between adult obesity (OB) and socio-economic status (SES),using comprehensive indices of SES taken separately or synthesised in an overall index. A nationally representative sample of adults aged18–79 years was taken from the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07).Weight and height were measured and OB defined as BMI $ 30 kg/m. SES variables were reported in questionnaires and includedoccupation, education and characteristics of household wealth. Composite indices of SES (household wealth and overall SES indices)were computed by correspondence analysis, and relationships with OB were investigated with logistic regression analysis. In total, 11·8(95% CI 10·1, 13·4) % of French adults were obese, without significant difference by sex. While no significant relationship was observedin men, all SES indicators were inversely correlated to OB in women. Both education and the household wealth index were retained in thestepwise multivariate model, confirming that different socio-economic variables are not necessarily proxies of each other regarding the OBissue. On the other hand, ‘controlling for SES’ while including several measures of SES in multivariate models may lead to collinearity, andthus over-adjustment. A more integrative approach may be to derive a synthetic index by including the SES factors available in a givenstudy. Beyond this methodological perspective, understanding how OB is related to the different dimensions of SES should help totarget the more vulnerable groups and increase the effectiveness of prevention.
机译:目的是研究成年人肥胖(OB)与社会经济地位(SES)之间关系的多维性质,使用单独或综合编制的SES综合指标。从法国第二次全国食物消费量个人调查(INCA 2)饮食调查(2006-07年)中获得了全国代表性的18-79岁成年人的样本。测量了体重和身高,OB定义为BMI $ 30 kg / m。 SES变量在调查表中报告,包括职业,教育和家庭财富特征。通过对应分析计算出SES的综合指数(家庭财富和SES总指数),并通过logistic回归分析研究与OB的关系。总体上,法国成年人中有11·8(95%CI 10·1、13·4)%的肥胖者,但性别之间无显着差异。尽管在男性中没有观察到明显的相关性,但所有SES指标与女性的OB呈负相关。教育和家庭财富指数都保留在逐步多元模型中,这证实了不同的社会经济变量不一定是OBOB彼此的代理。另一方面,“控制SES”同时在多变量模型中包含SES的多个度量指标可能会导致共线性,从而导致过度调整。一种更综合的方法可能是通过包括给定研究中可用的SES因子来得出综合指数。除了这种方法论观点之外,了解OB与SES的不同方面之间的关系应该有助于针对更脆弱的人群并提高预防的有效性。

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