ArticleInternational journal of epidemiology2020
Hotspots of childhood obesity in a large metropolitan area: does neighbourhood social and built environment play a part?
Article in International journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Food Environment and Childhood Overweight/Obesity: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2026Pooled it
- Sex and Age Disparities in the Prevalence of Obesity Among Children and Adolescents in Ghana, 1990-2022: A Cross-Sectional Study.Nutrients · 2026Article
- The Impact of Socioeconomic Inequities and Small-Area Deprivation on Child Inpatient Care: Evidence from a Quantitative Study in a Vulnerable Suburban Setting.International journal of environmental research and public health · 2026Article
- Association Between Sub-National Regional Socioeconomic Status and Childhood Obesity in Five South-East European Countries: The WHO European Childhood Obesity Surveillance Initiative-COSI (2019).Children (Basel, Switzerland) · 2026Article
- The Role of Socioeconomic Determinants in Children's Health.Portuguese journal of public health · 2025Article
- Spatial patterns of childhood obesity clusters linked to socioeconomic inequalities.Frontiers in public health · 2025Article
- Residential Density Is Associated With BMI Trajectories in Children and Adolescents: Findings From the Moving to Health Study.AJPM focus · 2024Article
- Preschoolers BMI: Associations with Patterns of Caregivers' Feeding Practices Using Structural Equation Models.Childhood obesity (Print) · 2023Article
- Association between Land Use Mix and Respiratory Symptoms and Asthma in Children from the Generation XXI Birth Cohort.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Environmental and Household-Based Spatial Risks for Tungiasis in an Endemic Area of Coastal Kenya.Tropical medicine and infectious disease · 2021Article
- Socioeconomic disadvantage and health in early childhood: a population-based birth cohort study from Portugal.Pediatric research · 2020Article
- Greater tree cover near residence is associated with reduced allostatic load in residents of central North Carolina.Environmental research · 2020Article
- [Research on Healthy Neighborhood Evaluation System Based on the Combined Perspectives of Urban Planning and Public Health].Feng jing yuan lin = Landscape architecture · 2020Article
- A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics.Frontiers in public health · 2020Review
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Abstract
backgroundEffective place-based interventions for childhood obesity call for the recognition of the high-risk neighbourhoods and an understanding of the determinants present locally. However, such an approach is uncommon. In this study, we identified neighbourhoods with elevated prevalence of childhood obesity ('hotspots') in the Porto Metropolitan Area and investigated to what extent the socio-economic and built environment characteristics of the neighbourhoods explained such hotspots.
methodsWe used data on 5203 7-year-old children from a population-based birth cohort, Generation XXI. To identify hotspots, we estimated local obesity odds ratios (OR) and 95% confidence intervals (95%CI) using generalized additive models with a non-parametric smooth for location. Measures of the socio-economic and built environment were determined using a Geographic Information System. Associations between obesity and neighbourhood characteristics were expressed as OR and 95%CI after accounting for individual-level variables.
resultsAt 7 years of age, 803 (15.4%) children were obese. The prevalence of obesity varied across neighbourhoods and two hotspots were identified, partially explained by individual-level variables. Adjustment for neighbourhood characteristics attenuated the ORs and further explained the geographic variation. This model revealed an association between neighbourhood socio-economic deprivation score and obesity (OR = 1.014, 95%CI 1.004-1.025), as well as with the presence of fast-food restaurants at a walkable distance from the residence (OR = 1.37, 1.06-1.77).
conclusionsIn our geographic area it was possible to identify neighbourhoods with elevated prevalence of childhood obesity and to suggest that targeting such high-priority neighbourhoods and their environmental characteristics may help reduce childhood obesity.
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