BMI-z score trajectories of Indonesian children and adolescents between 1993 and 2014 and associated risk factors
Bibliographic Data
| ID | 15092256 |
|---|---|
| Authors | Tri Nisa Widyastuti (University of Otago), Tri Widyastuti (0009-0003-2940-771X, University of Otago), Robin Turner (0000-0002-8540-7365, University of Otago), Helen Harcombe (0000-0002-2612-1789, University of Otago), Rachael McLean (0000-0002-0005-328X, University of Otago, corresponding author) |
| Year | 2025 |
| Volume | 28 |
| Issue | 1 |
| Pages | e101-e101 |
| Publication date | 2025-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Health Nutrition (JOURNAL) |
| Journal identifiers | ISSN: 1368-9800 • E-ISSN: 1475-2727 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1368980025100499 |
| PMID | 40457743 |
| OpenAlex | W4411005523 |
| Language | EN |
| References cited | 40 |
Objectives: To identify trajectories of Indonesian children and adolescent’s BMI-z scores between 1993 and 2014, examine whether the pattern differs by sex and assess associations with host, agent and environmental factors. Design: Longitudinal data were from the Indonesian Family Life Survey with up to five measurements of height and weight. Group-based trajectory models investigated changes in BMI-z score across time; differences by sex were investigated using random effect (mixed) models. The association between the trajectories and host, agent and environmental factors were examined using multinomial logistic regression. Setting: Thirteen provinces in Indonesia. Participants: Indonesian children and adolescents aged 6–18 years ( n 27 394 for BMI-z trajectories; n 8805 for risk factor analyses). Results: Mean BMI-z score increased from –0·743 sd in 1993 to –0·414 sd in 2014. Four distinct trajectory groups were estimated with mean BMI-z increasing more rapidly in the most recent time periods. One group (11·7 % of participants) had a mean BMI-z entirely within the moderately underweight range; two had trajectories in the normal range and one (5·6 %) had a mean BMI-z starting in the overweight range but within the obesity range by 2014. There were differences in trajectory groups by sex ( P Conclusions: These trajectories highlight the double burden of malnutrition and suggest that the prevalence of overweight and obesity is likely to increase substantially unless public health interventions are implemented
Body mass index · Environmental health · Index (typography · Indonesian · Sociology · Standard score · Statistics · Computer Science · Demography · Mathematics · Medicine · Psychology · Public Health and Nutrition · Internal Medicine
Analysis of Longitudinal Data
Applied Longitudinal Data Analysis
The Fifth Wave of the Indonesia Family Life Survey
Nutritional Epidemiology
The Global Syndemic of Obesity, Undernutrition, and Climate Change
To GEE or Not to GEE
Group-Based Trajectory Modeling in Clinical Research
Dynamics of the double burden of malnutrition and the changing nutrition reality
Double-duty actions
The epidemiological burden of obesity in childhood
Analyzing developmental trajectories
An “ecological” approach to the obesity pandemic
The nutrition transition to a stage of high obesity and noncommunicable disease prevalence dominated by ultra‐processed foods is not inevitable
Development of a WHO growth reference for school-aged children and adolescents
Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016
Patterns of BMI development between 10 and 42 years of age and their determinants in the 1970 British Cohort Study
A Note on a Stata Plugin for Estimating Group-based Trajectory Models
| Highly cited | No |
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