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Published on: June 20, 2020
Quantifying the overall impact of an early childhood multi-behavioural lifestyle intervention
Miaobing Zheng1, Kylie D Hesketh1, Sarah A McNaughton1
1School of Exercise and Nutrition Sciences, Deakin University, Institute for Physical Activity and Nutrition Research, Geelong, Victoria, Australia.
Insights
This study found an early childhood intervention effectively improved multiple unhealthy lifestyle behaviors in infants. Lifestyle pattern analysis proved useful for evaluating such multi-behavioral interventions.
Area of Science:
- Child Health
- Public Health Interventions
- Behavioral Science
Background:
- The impact of interventions targeting multiple health behaviors simultaneously is under-researched.
- Early childhood is a critical period for establishing lifestyle patterns.
- Previous research has not fully explored integrative approaches to assess multi-behavioral interventions.
Purpose of the Study:
- To evaluate the effectiveness of the Melbourne INFANT program, an early childhood intervention, on multiple behaviors.
- To utilize an integrative lifestyle pattern analysis to assess intervention impact.
- To determine sustained effects of the intervention on infant lifestyle patterns.
Main Methods:
- A 15-month cluster-randomized controlled trial involving 542 infants and their parents.
- Intervention included six education sessions promoting healthy diet, physical activity, and limiting sedentary behavior.
- Lifestyle patterns were identified using principal component analysis; intervention impact assessed via random effect linear regression models.
Main Results:
- The intervention group showed significantly lower 'Discretionary consumption and TV' lifestyle pattern scores at 1.5, 3.6, and 5 years post-intervention.
- Adjusted mean differences in 'Discretionary consumption and TV' scores ranged from -0.21 to -0.29.
- No significant differences were observed between groups for the 'Fruit, vegetables and outdoor' lifestyle pattern score.
Conclusions:
- The early childhood intervention effectively improved correlated unhealthy lifestyle behaviors.
- Integrative lifestyle pattern analysis is a valuable tool for evaluating interventions targeting multiple behaviors.
- Findings support the use of multi-behavioral interventions in early childhood to promote healthier lifestyles.
Background:
The overall impact of interventions targeting multiple behaviours remains largely unexplored.
Objectives:
This study adopted an integrative lifestyle pattern analysis approach to assess the overall effectiveness of an early childhood intervention on change across multiple behaviours.
Methods:
The Melbourne INFANT program was a 15-month cluster-randomized controlled trial involving 4-month-old infants and their parents at baseline in 2008 (n = 542). The intervention included six education sessions helping parents to promote a healthy diet, physical activity and limit sedentary behaviour in their infants. Participants were followed-up twice post-intervention, at ages 3.6 (2011) and 5 years (2013), to assess sustained effects of the intervention. Previous principal component analyses identified two lifestyle patterns from dietary intake, outdoor time and television viewing time. Random effect linear regression models were conducted to assess the impact of the intervention on lifestyle patterns.
Results:
The intervention group had a lower 'Discretionary consumption and TV' lifestyle pattern score than the control group at all time points with adjusted mean difference: -0.29, 95% CI -0.49, -0.09, p = 0.004 post-intervention at age 1.5 years; -0.29, 95% CI -0.54, -0.04, p = 0.02 at the first follow-up (age 3.6 years); and -0.21, 95% CI -0.43, 0.01, p = 0.06 at the second follow-up (age 5.0 years). No evidence of between-group differences was found for the 'Fruit, vegetables and outdoor' lifestyle pattern score.
Conclusion:
This early childhood intervention designed to promote change in more than one obesity-related behaviour was effective in improving correlated unhealthy lifestyle behaviours. Lifestyle pattern analysis is a useful and interpretable approach for evaluating multi-behavioural interventions.
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