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How does age affect the relationship between weight and health utility during the middle years of childhood?
Katie Eminson1, Alastair Canaway2, Peymané Adab3
1UK Centre for Tobacco and Alcohol Studies, University of Nottingham, Nottingham, NG7 2QL, UK.
Insights
This study found no link between children's weight status and their quality of life. Researchers recommend focusing on clinical outcomes, not just preference-based measures, for future obesity prevention economic evaluations.
Area of Science:
- Pediatric Health
- Quality of Life Research
- Obesity Studies
Background:
- Limited research exists on the connection between weight status and preference-based health-related quality of life (HRQL) in young children.
- Existing literature on this topic is often contradictory, necessitating further investigation.
Purpose of the Study:
- To investigate the association between weight status and preference-based HRQL in children aged 6–10 years.
- To determine how this association evolves during childhood development.
Main Methods:
- Utilized the Child Health Utility 9D (CHU-9D) to assess preference-based HRQL.
- Collected height and weight data to calculate age- and gender-adjusted z-BMI for 1467 children over 5 years.
- Employed multi-level regression analysis, controlling for covariates, to examine weight status and HRQL relationships.
Main Results:
- No significant impact of weight status on the distribution of CHU-9D dimensions was observed.
- Multi-level regression analysis revealed no statistically significant differences in CHU-9D scores across weight categories (underweight, healthy, overweight, obese).
Conclusions:
- This study found no association between weight status and HRQL, as measured by the CHU-9D, in UK children aged 5–10 years.
- Future economic evaluations for childhood obesity prevention should consider clinical or wellbeing outcomes alongside preference-based measures.
Purpose:
The limited literature examining weight status and preference-based health-related quality of life (HRQL) in young children is equivocal. This study aims to examine how the association between weight status and preference-based HRQL changes as children develop between the ages of 6 and 10 years old.
Methods:
The Child Health Utility 9D (CHU-9D) was used to determine preference-based HRQL. Height and weight data were also collected and used to calculate z-BMI adjusted for age and gender. 1467 children were recruited from 54 schools across the West Midlands. Data were collected at four time points over 5 years. Impact of weight on dimensions of HRQL was assessed via the distribution of responses to CHU-9D dimensions by weight status. Multi-level regression analysis controlling for ethnicity, deprivation and other relevant co-variates was conducted to examine the relationship between weight and HRQL.
Results:
There was no evidence to suggest that the weight status impacted upon the distribution of responses to CHU-9D dimensions. Correspondingly, the multi-level regression analysis found no statistically significant differences in CHU-9D scores between underweight, healthy weight, overweight and obese children.
Conclusions:
The evidence surrounding the link between preference-based HRQL and weight status in children is limited. This study found no association between weight status and HRQL as measured by the CHU-9D in children between the ages of 5 and 10 years in the UK. Given this, it is recommended that future studies aiming to prevent obesity in children in their middle years do not rely solely on preference-based measures for economic evaluation, and instead focus on capturing clinical or wellbeing outcomes.
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