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Differing associations with childhood outcomes using behavioural patterns derived from three data reduction
Ninoshka J D'Souza1, Miaobing Zheng1, Gavin Abbott1
1Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.
Different methods for identifying children's health behaviour patterns yield varying results, impacting how these patterns relate to childhood outcomes like health and academics. The choice of method matters for research comparisons.
Area of Science:
- Child Health Research
- Behavioural Science
- Data Analysis Methodologies
Background:
- Understanding how multiple health behaviours influence childhood outcomes is crucial.
- Data reduction techniques for deriving behavioural patterns can yield non-identical results.
- These differing patterns may associate differently with childhood outcomes.
Purpose of the Study:
- To compare the associations of behavioural patterns derived from three distinct methods (cluster analysis, latent profile analysis, principal component analysis) with three childhood outcomes.
- To investigate the impact of data reduction technique choice on the observed relationships between health behaviours and child development.
Main Methods:
- Utilized data from the Healthy Active Preschool and Primary Years study (n=432, children aged 6-8).
- Derived behavioural patterns using cluster analysis (CA), latent profile analysis (LPA), and principal component analysis (PCA) from diet, physical activity, sedentary behaviour, and sleep data.
- Assessed associations with child health (height, weight, waist circumference), quality of life, and academic performance using adjusted linear regression.
Main Results:
- CA and LPA each yielded three patterns (healthy, unhealthy, mixed); PCA yielded four patterns.
- Differences in associations were observed between patterns derived from CA/LPA and pattern scores from PCA concerning the three childhood outcomes.
- Each method identified distinct healthy, unhealthy, and mixed behavioural patterns.
Conclusions:
- The choice of data reduction method significantly influences the observed associations between behavioural patterns and childhood outcomes.
- Discrepancies highlight the need for careful consideration of methodology when comparing findings across studies.
- Methodological choices have implications for interpreting and applying research on children's health behaviours.
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