Feng Xiaoqi, Wilson Andrew
Early Start Research Institute, University of Wollongong, Wollongong, Australia; School of Health and Society, University of Wollongong, Wollongong, Australia; Menzies Centre for Health Policy, University of Sydney, Sydney, Australia.
Menzies Centre for Health Policy, University of Sydney, Sydney, Australia; The Australian Prevention Partnership Centre, the Sax Institute, Sydney, Australia.
PLoS One. 2015 Oct 23;10(10):e0141499. doi: 10.1371/journal.pone.0141499. eCollection 2015.
Do socioeconomic inequities in body mass index (BMI) widen across the adult lifecourse? BMI data for 29,104 male and 32,454 female person-years aged 15 years and older (21,403 persons in total) were extracted from the Household, Income and Labour Dynamics in Australia between 2006 and 2012. Multilevel linear regression was used to examine age and gender specific trajectories in BMI by quintiles of neighborhood socioeconomic circumstance. Models were adjusted for probable sources of confounding, including couple status, number of children resident, if somebody in the household had been pregnant in the last 12 months, the highest level of education achieved, the average household gross income, and the percentage of time in the last year spent unemployed. Approximately 9.6% of BMI variation was observed between neighborhoods. High neighborhood disadvantage was associated with 2.09 kg/m2 heavier BMI (95%CI 1.82, 2.36). At age 15-24y, socioeconomic inequity in BMI was already evident among men and women especially (22.6 kg/m2 among women in the most affluent areas compared with 25.4 kg/m2 among the most disadvantaged). Among women only, the socioeconomic gap widened from 2.8 kg/m2 at age 15-24y to 3.2 kg/m2 by age 35-44y. Geographical factors may contribute to more rapid weight gain among women living in disadvantaged neighborhoods.
体重指数(BMI)方面的社会经济不平等在成年人的整个生命历程中会扩大吗?从2006年至2012年澳大利亚家庭、收入与劳动力动态调查中提取了年龄在15岁及以上的29104名男性和32454名女性人年(共计21403人)的BMI数据。采用多水平线性回归,按邻里社会经济状况五分位数来研究BMI的年龄和性别特异性轨迹。对可能的混杂因素来源进行了调整,包括伴侣状况、常住子女数量、过去12个月内家中是否有人怀孕、最高学历、家庭平均总收入以及过去一年中失业时间的百分比。邻里之间观察到约9.6%的BMI差异。邻里高度不利与BMI高2.09kg/m²相关(95%CI 1.82,2.36)。在15 - 24岁时,BMI方面的社会经济不平等在男性和女性中已很明显(最富裕地区女性的BMI为22.6kg/m²,而最贫困地区为25.4kg/m²)。仅在女性中,社会经济差距从15 - 24岁时的2.8kg/m²扩大到35 - 44岁时的3.2kg/m²。地理因素可能导致生活在贫困社区的女性体重增加更快。