ArticleObesity science & practice2020
Latent class analysis of obesity-related characteristics and associations with body mass index among young children.
Article in Obesity science & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Exploring maternal health, lifestyle, and socioeconomic influences on childhood obesity in Australia.BMC public health · 2025Article
- Exploration of dietary patterns in southern China: application-based comparison of factor analysis and latent class analysis.Journal of health, population, and nutrition · 2025Article
- A Latent Class Analysis of Family Eating Behaviors and Home Environment Habits on Preschool-Aged Children's Body Mass Index.Childhood obesity (Print) · 2024Article
- Association of maternal physical and mental health characteristics with the hazard of having any medical condition or disability in Australian children: A 15-year birth cohort study.SSM - population health · 2023Article
- Clustering of lifestyle and health behaviours in Australian adolescents and associations with obesity, self-rated health and quality of life.BMC public health · 2023Article
- Identifying Excessive Intake of Oil and Salt to Prevent and Control Hypertension: A Latent Class Analysis.Frontiers in cardiovascular medicine · 2022Article
- Latent class analysis of obesity-related characteristics and associations with body mass index among young children.Obesity science & practice · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIdentifying how obesity-related characteristics cluster in populations is important to understand disease risk. Objectives of this study were to identify classes of children based on obesity-related variables and to evaluate the associations between the identified classes and overweight and obesity.
methodsA cross-sectional study was conducted among children 3-11 years of age (
resultsSix classes were identified: Class 1: 'Family and health risk behaviours' (20%), Class 2: 'Metabolic risk' (7%), Class 3: 'High risk' (6%), Class 4: 'High triglycerides' (21%), Class 5: 'Health risk behaviours and developmental concern' (22%), and Class 6: 'Healthy' (24%). Children in Classes 1-5 had increased odds of both overweight and obesity compared with 'Healthy' class. Class 3 'High risk' was most strongly associated with child overweight (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.2, 3.2) and obesity (OR 3.3, 95% CI 1.7, 6.7).
conclusionsDistinct classes of children identified based on obesity-related characteristics were all associated with increased obesity; however, the magnitude of risk varied depending on number of at-risk characteristics. Understanding the clustering of obesity characteristics in children may inform precision public health and population prevention interventions.
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