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首页> 美国卫生研究院文献>Preventive Medicine Reports >A multilevel study of neighborhood disadvantage individual socioeconomic position and body mass index: Exploring cross-level interaction effects
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A multilevel study of neighborhood disadvantage individual socioeconomic position and body mass index: Exploring cross-level interaction effects

机译：社区劣势个人社会经济地位和体重指数的多层次研究：探索跨层次互动效应

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This study examined associations between neighborhood disadvantage and body mass index (BMI), and tested whether this differed by level of individual socioeconomic position (SEP). Data were from 9953 residents living in 200 neighborhoods in Brisbane, Australia in 2007. Multilevel linear regression analyses were undertaken by gender to determine associations between neighborhood disadvantage, individual SEP (education, occupation and household income) and BMI (from self-reported height and weight); with cross-level interactions testing whether the relationship between neighborhood disadvantage and BMI differed by level of individual SEP. Both men (Quintile 4, where Quintile 5 is the most disadvantaged β = 0.66 95%CI 0.20, 1.12) and women (Quintile 5 β = 1.32 95%CI 0.76, 1.87) from more disadvantaged neighborhoods had a higher BMI. BMI was significantly higher for those with lower educational attainment (men β = 0.71 95%CI 0.36, 1.07 and women β = 1.66 95%CI 0.78, 1.54), and significantly lower for those in blue collar occupations (men β = −0.67 95%CI −1.09, −0.25 and women β = −0.71 95%CI −1.40, −0.01). Among men, those with a lower income had a significantly lower BMI, while the opposite was found among women. None of the interaction models had a significantly better fit than the random intercept models. The relationship between neighborhood disadvantage and BMI did not differ by level of education, occupation, or household income. This suggests that individual SEP is unlikely to be an effector modifier of the relationship between neighborhood disadvantage and BMI. Further research is required to assist policy-makers to make more informed decisions about where to intervene to counteract BMI-inequalities.
机译：这项研究检查了邻里不利与体重指数（BMI）之间的关联，并检验了这种差异是否因个人社会经济地位（SEP）的水平而异。数据来自2007年居住在澳大利亚布里斯班200个社区中的9953名居民。按性别进行了多级线性回归分析，以确定社区劣势，个人SEP（教育，职业和家庭收入）与BMI（根据自我报告的身高和重量）;通过跨层次的交互作用，测试邻里劣势与BMI之间的关系是否因个体SEP的水平而有所不同。处于较弱势社区的男性（四分位数4，其中五分位数5是最弱势的β= 0.66 95％CI 0.20，1.12）和女性（四分位数5β= 1.32 95％CI 0.76，1.87）均具有较高的BMI。受教育程度较低的人的BMI显着较高（男性β= 0.71 95％CI 0.36，1.07和女性β= 1.66 95％CI 0.78，1.54），以及从事蓝领职业的人（Betaβ= -0.67 95） ％CI -1.09，-0.25和女性β= -0.71 95％CI -1.40，-0.01）。在男性中，收入较低的人的BMI明显较低，而女性则相反。没有一个交互模型比随机拦截模型具有更好的拟合度。社区劣势与BMI之间的关系在教育程度，职业或家庭收入方面没有差异。这表明，个体SEP不太可能成为邻居劣势与BMI之间关系的调节因子。需要进一步的研究来帮助决策者做出更明智的决策，以决定在哪里进行干预以抵消BMI不平等。

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