Voloshchuk Romaniya S, Lee Nanette R, Carba Delia B, Adair Linda S
UNC Chapel Hill, Department of Nutrition, Chapel Hill, NC, USA.
University of San Carlos, USC-Office of Population Studies Foundation, Inc., University of San Carlos-TC Talamban, Cebu City, Philippines.
Int J Obes (Lond). 2025 Jul 14. doi: 10.1038/s41366-025-01826-1.
To assess the association of variables representing the nutrition transition with BMI among young adults in a dynamic urbanising area in the Philippines; to test whether the roles of these variables were constant across the BMI distribution; and whether these patterns differed by sex.
Data from the Cebu Longitudinal Health and Nutrition Survey rounds in 2002 (n = 1940), 2005 (n = 1802), 2009 (n = 1621), and 2018 (n = 1267) were used to assess BMI among young adults (ages 21-35 years). Main exposures included socioeconomic status (SES) represented by a lagged household asset index and urbanicity, and current education level. Models were stratified by sex and adjusted for employment status and parity in females. Quantile regression was used to examine the relationship between these variables and BMI.
Household asset index was highly correlated with male BMI, its coefficient increasing from 2005 to 2018 and differing between quantiles; its association with female BMI was only positive among parous women whose BMI was at 0.50 and 0.75 quantiles in 2005. We found no associations between urbanicity and BMI in males, but negative and positive associations at 0.25 and 0.75 quantiles in females in 2018, respectively. College education was negatively associated with BMI in females, with larger effect sizes at 0.75 quantile, but positively in males at 0.25 and 0.50 quantiles in 2018.
Associations of SES-related variables with BMI vary along BMI distribution and differ among male and female young adults in Cebu, Philippines. Males exhibit a pattern more characteristic of lower- or middle-income country (LMIC) settings than females, whose trends are more akin to those observed in high-income countries (HICs). Results will inform a more detailed inquiry into more proximal factors determining BMI.
评估菲律宾一个动态城市化地区年轻成年人中代表营养转型的变量与体重指数(BMI)之间的关联;检验这些变量在BMI分布中的作用是否恒定;以及这些模式是否因性别而异。
使用2002年(n = 1940)、2005年(n = 1802)、2009年(n = 1621)和2018年(n = 1267)宿务纵向健康与营养调查轮次的数据来评估年轻成年人(21 - 35岁)的BMI。主要暴露因素包括以滞后家庭资产指数和城市化程度表示的社会经济地位(SES)以及当前教育水平。模型按性别分层,并对女性的就业状况和平产情况进行了调整。使用分位数回归来检验这些变量与BMI之间的关系。
家庭资产指数与男性BMI高度相关,其系数从2005年到2018年有所增加,且在不同分位数之间存在差异;其与女性BMI的关联仅在2005年BMI处于0.50和0.75分位数的经产妇女中呈正相关。我们发现城市化程度与男性BMI之间无关联,但在2018年女性中,分别在0.25和0.75分位数处呈负相关和正相关。2018年,大学教育与女性BMI呈负相关,在0.75分位数处效应量更大,但在男性中,在0.25和0.50分位数处呈正相关。
SES相关变量与BMI的关联在BMI分布中有所不同,在菲律宾宿务的年轻男性和女性中也存在差异。男性表现出的模式比女性更具低收入或中等收入国家(LMIC)环境的特征,而女性的趋势更类似于高收入国家(HICs)中观察到的趋势。研究结果将为更详细地探究决定BMI的更直接因素提供参考。