Koning Maaike, Hoekstra Trynke, de Jong Elske, Visscher Tommy L S, Seidell Jacob C, Renders Carry M
Research Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands.
Department of Health Sciences and the EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands.
BMC Public Health. 2016 Oct 28;16(1):1128. doi: 10.1186/s12889-016-3757-7.
To date, many epidemiologic studies examining associations between obesity and dietary and sedentary/physical activity behaviors have focused on assessing Body Mass Index (BMI) at one point in time. Recent developments in statistical techniques make it possible to study the potential heterogeneity in the development of BMI during childhood by identifying distinct subpopulations characterized by distinct developmental trajectories. Using Latent Class Growth (Mixture) Modelling (LCGMM) techniques we aimed to identify BMI trajectories in childhood and to examine associations between these distinct trajectories and dietary, sedentary and physical activity behaviors.
This longitudinal study explored BMI standard deviation score (SDS) trajectories in a sample of 613 children from 4 to 12 years of age. In 2006, 2009 and 2012 information on children's health related behaviors was obtained by parental questionnaires, and children's height and weight were measured. Associations with behaviors were investigated with logistic regression models.
We identified two BMI SDS trajectories; a decreasing BMI SDS trajectory (n = 416; 68 %) and an increasing BMI SDS trajectory (n = 197; 32 %). The increasing BMI SDS trajectory consisted of more participants of lower socio-economic status (SES) and of non-western ethnicity. Maternal overweight status was associated with being in the increasing BMI SDS trajectory at both baseline and follow-up six years later (2006: Odds Ratio (OR), 2.9; 95 % confidence interval (CI) 1.9 to 4.3; 2012 OR, 1.8; 95 % CI 1.2 to 2.6). The increasing BMI SDS trajectory was associated with the following behaviors; drinking sugared drinks > 3 glasses per day, participation in organized sports < 1 h per week, and TV viewing > 2 h per day, though participation in organized sports at follow-up was the only significant result.
Our results indicate the importance of healthy lifestyle behaviors at a young age, and indicate that maternal BMI is a very important risk factor for the development of childhood overweight. Comprehension of heterogeneity in the development of BMI and associations with modifiable health related behaviors is interesting for prevention by targeting high risk behaviors in early childhood, especially in low SES children, children of non-western ethnicity and children whose mother is overweight.
迄今为止,许多研究肥胖与饮食及久坐/身体活动行为之间关联的流行病学研究都集中在某一时刻评估体重指数(BMI)。统计技术的最新进展使得通过识别具有不同发育轨迹特征的不同亚群体来研究儿童期BMI发展过程中的潜在异质性成为可能。我们旨在运用潜在类别增长(混合)模型(LCGMM)技术识别儿童期的BMI轨迹,并研究这些不同轨迹与饮食、久坐和身体活动行为之间的关联。
这项纵向研究在613名4至12岁儿童的样本中探索BMI标准差评分(SDS)轨迹。2006年、2009年和2012年,通过家长问卷获取儿童健康相关行为的信息,并测量儿童的身高和体重。使用逻辑回归模型研究与行为的关联。
我们识别出两种BMI SDS轨迹;一种是BMI SDS下降轨迹(n = 416;68%)和一种BMI SDS上升轨迹(n = 197;32%)。BMI SDS上升轨迹包含更多社会经济地位较低(SES)和非西方族裔的参与者。母亲超重状态在基线时以及六年后的随访中(2006年:比值比(OR),2.9;95%置信区间(CI)1.9至4.3;2012年OR,1.8;95% CI 1.2至2.6)均与处于BMI SDS上升轨迹相关。BMI SDS上升轨迹与以下行为相关;每天饮用含糖饮料超过3杯、每周参加有组织的体育活动少于1小时以及每天看电视超过2小时,不过随访时参加有组织的体育活动是唯一显著的结果。
我们的结果表明年轻时健康生活方式行为的重要性,并表明母亲的BMI是儿童期超重发展的一个非常重要的风险因素。理解BMI发展过程中的异质性以及与可改变的健康相关行为的关联,对于通过针对幼儿期的高风险行为进行预防很有意义,尤其是在低SES儿童、非西方族裔儿童以及母亲超重的儿童中。