Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Int J Epidemiol. 2013 Jun;42(3):828-37. doi: 10.1093/ije/dyt052. Epub 2013 Jun 14.
Contributions of age-period-cohort effects to increases in BMI and overweight among Chinese adults must be resolved in order to design appropriate interventions. The objectives were to (i) describe the period effect on BMI and overweight among Chinese adults from 1991 to 2009 and assess modification of this effect by age (e.g. cohort effect) and gender, and (ii) quantify the influence of household income and community urbanicity on these effects.
Data are from the China Health and Nutrition Survey, a prospective sample across nine provinces in China; 53,298 observations from 18,059 participants were collected over a 19-year period. A series of mixed effects models was used to explicitly assess differences in BMI within individuals over time (age effect) and population-wide differences in BMI over time (period effect), and implicitly assess differences in the experienced period effect across individuals of varying ages (cohort effect).
Stronger period effects on BMI and overweight were observed among males compared with females; and younger cohorts had higher BMIs compared with older cohorts. Simulations predicted that increases in income and urbanicity in the order of magnitude of that observed from 1991 to 2009 would correspond to shifts in the BMIs of average individuals of 0.07 and 0.23 kg/m(2), respectively.
Although period effects had a stronger influence on the BMI of males, interventions should not overlook younger female cohorts who are at increased risk compared with their older counterparts.
为了制定相应的干预措施,必须明确年龄-时期-队列效应对中国成年人 BMI 和超重增加的贡献。本研究旨在:(i)描述 1991 年至 2009 年期间中国成年人 BMI 和超重的时期效应,并评估年龄(例如,队列效应)和性别对此效应的影响;(ii) 量化家庭收入和社区城市化对这些效应的影响。
数据来自中国健康与营养调查,这是一项在中国 9 个省份进行的前瞻性抽样研究;19 年间共收集了 18059 名参与者的 53298 个观察值。采用一系列混合效应模型,明确评估个体随时间的 BMI 差异(年龄效应)和人群随时间的 BMI 差异(时期效应),并隐性评估不同年龄个体经历的时期效应差异(队列效应)。
与女性相比,男性的 BMI 和超重的时期效应更强;年轻队列的 BMI 高于老年队列。模拟预测,1991 年至 2009 年期间观察到的收入和城市化水平的增加幅度,将分别导致个体平均 BMI 增加 0.07 和 0.23kg/m2。
尽管时期效应对男性 BMI 的影响更大,但干预措施不应忽视年轻女性群体,与老年女性相比,她们的风险更高。