Age, Period and Cohort Effects on Adult Body Mass Index and Overweight from 1991 to 2009 in China: the China Health and Nutrition Survey

Age, Period and Cohort Effects on Adult Body Mass Index and Overweight from 1991 to 2009 in China: the China Health and Nutrition Survey
复制标题

DOI:
10.1093/ije/dyt052
复制
发表时间:
2013-06-01
影响因子:
7.7
通讯作者:
Popkin, Barry
Popkin, Barry
中科院分区:
医学1区
文献类型:
--
作者:
Jaacks, Lindsay M.;Gordon-Larsen, Penny;Popkin, Barry

文献摘要

被引文献

相似文献

研究背景:为了设计适当的干预措施,必须解决年龄-阶段-队列效应对中国成年人BMI增加和超重的影响。目的是(i)描述1991年至2009年中国成年人BMI和超重的时期效应,并评估年龄对该效应的修正(e. G.队列效应)和性别,和(ii)量化的家庭收入和社区城市化对这些effects.Methods数据的影响来自中国健康与营养调查,在中国9个省的前瞻性样本,53 298观察18 059参与者收集了19年的时间。一系列的混合效应模型被用来明确地评估随着时间的推移个体内BMI的差异(年龄效应)和BMI随时间的人群差异(时期效应),并隐含地评估不同年龄个体所经历的时期效应的差异结果与女性相比,男性的BMI和超重受时间的影响更大;年轻组的BMI高于老年组。模拟结果预测,在1991年至2009年期间观察到的收入和城市化程度的数量级增加将分别对应于平均个人BMI的0.07和0.23 kg/m2的变化。结论虽然周期效应对男性BMI的影响更大,干预措施不应忽视年轻女性群体,她们与年长女性群体相比风险更大。
Background 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.Methods 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).Results 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.Conclusions 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.