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Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Comprehensive determinants of growth trajectories and body composition in school children: A longitudinal cohort
Hsien-Yu Fan1, Yungling Leo Lee2, Shwu-Huey Yang3
1Department of Family Medicine, Taipei City Hospital, ZhongXing Branch, Taipei, Taiwan.
Insights
Childhood obesity trajectories are influenced by factors like income, sleep, birth weight, and physical activity. Targeted interventions focusing on modifiable factors are recommended for preventing obesity.
Area of Science:
- Pediatric endocrinology
- Public health
- Childhood obesity research
Background:
- Childhood obesity is a growing public health concern with complex etiological factors.
- Understanding distinct Body Mass Index (BMI) trajectories is crucial for effective intervention.
Purpose of the Study:
- To investigate the dynamic and comprehensive etiology of adiposity index trajectories in children.
- To identify non-modifiable and modifiable factors influencing different BMI growth patterns.
Main Methods:
- Analysis of data from 5572 children (aged 6-11 years) in the Taiwan Children Health Study (TCHS).
- Identification of four distinct BMI trajectories: persistently healthy weight, late-onset overweight/obesity, persistent overweight/obesity, and declining BMI.
- Logistic regression and generalized estimating equations used to assess factors influencing BMI trajectories and adiposity indices.
Main Results:
- Persistently healthy weight (Class 1) served as the reference group.
- Increased risk of weight and fat gain (Class 2) associated with lower income and poor sleep.
- Higher risk of persistent and abdominal obesity (Class 3) linked to higher birth weight and sedentary lifestyle.
- Declining BMI (Class 4) showed reduced body fat and central obesity due to increased physical activity.
Conclusions:
- Identified key non-modifiable and modifiable factors associated with distinct childhood BMI trajectories.
- Quantified the contribution of modifiable factors to adiposity indices.
- Recommended focusing on dynamic, modifiable factors for preventing obese growth trajectories.
Objective:
To fully explain the dynamic and comprehensive etiology of the trajectory associated with adiposity indices.
Methods:
This study involved data of 5572 children, aged 6-11 years, as part of the Taiwan Children Health Study (TCHS). The present study introduced four distinct BMI trajectories, identified previously among children: persistently healthy weight; late-onset overweight or obesity; persistent overweight or obesity; and declining BMI class. Logistic regression was used to examine the effect of non-modifiable factors on BMI trajectory classes. Generalized estimating equations were used to examine the effect of dynamically modifiable factors on either BMI trajectory classes or adiposity indices.
Results:
Compared with class 1 (persistently healthy weight), class 2 exhibited a significantly increased risk of weight gain and fat mass, affected by lower family incomes and poor-quality sleep. Class 3 had a higher risk of persistent obesity and abdominal obesity, affected by higher birthweight and sedentary lifestyle. Class 4 approached a healthy weight due to increased physical activity, which was associated with a decrease in body fat and central obesity.
Conclusions:
We found crucially non-modifiable and modifiable factors that could describe each high BMI growth pattern, and calculated their modifiable contributions to adiposity indices. Modifiable factors that focus on those crucially dynamic factors are recommended for preventing obese growth trajectories.
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