Identifying developmental trajectories of body mass index in childhood using latent class growth (mixture) modelling: associations with dietary, sedentary and physical activity behaviors: a longitudinal study

BMC Public Health

Research Article

Trynke Hoekstra¹  Maaike Koning²  Tommy L. S. Visscher²  Jacob C. Seidell³  Carry M. Renders³  Elske de Jong⁴ 

[1] Department of Health Sciences and the EMGO Institute for Health and Care Research, VU University Amsterdam, Amsterdam, The Netherlands;Department of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, The Netherlands;Research Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands;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;Research Centre Healthy Cities, Knowledge Centre for Health and Social work, Windesheim University of Applied Sciences, PO box 10090, 8000 GB, Zwolle, The Netherlands;Pedagogical Studies, Department for Health and Social Work, Windesheim University of Applied Sciences, Zwolle, The Netherlands;

关键词: Developmental trajectory;    Latent class growth (mixture) models;    Longitudinal study;    Childhood overweight;    Health related behaviors;    Body mass index;   

DOI  :  10.1186/s12889-016-3757-7

 received in 2016-04-28, accepted in 2016-10-08,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundTo 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.MethodsThis 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.ResultsWe 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.ConclusionsOur 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.

【 授权许可】

CC BY   
© The Author(s). 2016