Samodra Yoseph Leonardo, Hsu Hui-Chuan, Chuang Kun-Yang, Chuang Ying-Chih
School of Public Health, Taipei Medical University, 250 Wu Hsing St., Taipei 11031, Taiwan.
Prev Med Rep. 2023 May 25;34:102262. doi: 10.1016/j.pmedr.2023.102262. eCollection 2023 Aug.
Indonesia faces the double burdens of childhood obesity and malnutrition. A family's socioeconomic status has been suggested to be one of the most influential factors contributing to childhood nutritional problems. This study aimed to: 1) identify the distinct trajectories of family economics; and 2) assess whether a family's economic trajectory influences children's body mass index (BMI). We analyzed trajectory patterns of family economic levels from 1997 to 2015 among 846 children aged under 3 years in 1997 using data from Indonesian Family Life Surveys. Trajectory patterns were identified with Group-Based Trajectory Modeling using the traj plug-in in STATA software. The BMI was classified according to 2007 World Health Organization growth standards. Adjusted relative risk ratios (aRRRs) of family economic level trajectories and children's BMI were calculated using multinomial logistic regressions. We identified three distinct trajectories of family economic level: stable poorest, stable middle, and increasing richest. In the total sample, there were no significant relationships between a family's income trajectory and children's BMI in the adjusted models. A significant relationship existed for male children, but not for female children, of compared to the poorest family trajectory group, male children in the increasing richest trajectory group were more likely to be overweight/obese (aRRR 6.1, 95% confidence interval: 1.22-30.62) after adjusting for age and BMI. The present results highlight the importance of early interventions to minimize the potential adverse impacts of excessive BMI later in adulthood.
印度尼西亚面临儿童肥胖和营养不良的双重负担。家庭的社会经济地位被认为是导致儿童营养问题的最具影响力的因素之一。本研究旨在:1)确定家庭经济状况的不同轨迹;2)评估家庭经济轨迹是否会影响儿童的体重指数(BMI)。我们利用印度尼西亚家庭生活调查的数据,分析了1997年时年龄在3岁以下的846名儿童在1997年至2015年期间家庭经济水平的轨迹模式。使用STATA软件中的traj插件,通过基于群体的轨迹模型确定轨迹模式。根据2007年世界卫生组织的生长标准对BMI进行分类。使用多项逻辑回归计算家庭经济水平轨迹与儿童BMI的调整后相对风险比(aRRRs)。我们确定了家庭经济水平的三种不同轨迹:持续最贫困、持续中等和持续最富裕。在总样本中,调整后的模型显示,家庭收入轨迹与儿童BMI之间没有显著关系。对于男性儿童存在显著关系,但对于女性儿童则不存在,与最贫困家庭轨迹组相比,在调整年龄和BMI后,持续最富裕轨迹组中的男性儿童更有可能超重/肥胖(aRRR为6.1,95%置信区间:1.22 - 30.62)。目前的结果凸显了早期干预的重要性,以尽量减少成年后期BMI过高可能产生 的不利影响。