OBJECTIVE: To identify neighbourhoods with increased prevalence of overweight children and to examine whether the association between neighbourhood and overweight can be explained by demographic characteristics and energy-related behaviours. METHOD: This cross-sectional study was carried out among 4,072 primary schoolchildren in the city of Zwolle, The Netherlands. Data collection consisted of measured height, weight and waist circumference, and a parental questionnaire on socio-demographic characteristics, dietary and (in)activity behaviour of their child. With multivariate logistic regressions, associations between unhealthy behaviours and neighbourhoods (defined by postal code) with high and low prevalence of childhood overweight were investigated. RESULTS: In three neighbourhoods the prevalence of overweight was significantly higher (16.5% vs. 10.6%, p < 0.05). The odds of living in these neighbourhoods were higher among children watching >2 h television/day (OR: 1.57; 95% CI: 1.15-2.14), not eating breakfast daily (OR: 2.86; 95% CI: 1.93-4.23), drinking >3 glasses/day sugared drinks (OR: 1.23; 95% CI: 1.01-1.50) on weekdays and not participating in organized sports (OR: 1.32; 95% CI: 1.09-1.59). This odds was however lower among children eating <2 fruit/day (OR: 0.83; 95% CI: 0.69-1.00) on weekends. The association between neighbourhood and overweight altered slightly after adjustment for socio-demographic and behavioural characteristics during weekdays (OR: 1.42; 95% CI: 1.05-1.92) and weekends (OR: 1.50; 95% CI; 1.11-2.02). CONCLUSION: Three neighbourhoods with higher prevalence of overweight were identified. A small part of the association between overweight and neighbourhood is explained by socio-demographic factors and unhealthy behaviours measured in this study. Neighbourhoods with higher overweight prevalence are a priority setting for targeted interventions to prevent overweight. The association between neighbourhood and overweight needs to be explored further to understand the role the neighbourhood can play in tackling overweight.
OBJECTIVE: To identify neighbourhoods with increased prevalence of overweight children and to examine whether the association between neighbourhood and overweight can be explained by demographic characteristics and energy-related behaviours. METHOD: This cross-sectional study was carried out among 4,072 primary schoolchildren in the city of Zwolle, The Netherlands. Data collection consisted of measured height, weight and waist circumference, and a parental questionnaire on socio-demographic characteristics, dietary and (in)activity behaviour of their child. With multivariate logistic regressions, associations between unhealthy behaviours and neighbourhoods (defined by postal code) with high and low prevalence of childhood overweight were investigated. RESULTS: In three neighbourhoods the prevalence of overweight was significantly higher (16.5% vs. 10.6%, p < 0.05). The odds of living in these neighbourhoods were higher among children watching >2 h television/day (OR: 1.57; 95% CI: 1.15-2.14), not eating breakfast daily (OR: 2.86; 95% CI: 1.93-4.23), drinking >3 glasses/day sugared drinks (OR: 1.23; 95% CI: 1.01-1.50) on weekdays and not participating in organized sports (OR: 1.32; 95% CI: 1.09-1.59). This odds was however lower among children eating <2 fruit/day (OR: 0.83; 95% CI: 0.69-1.00) on weekends. The association between neighbourhood and overweight altered slightly after adjustment for socio-demographic and behavioural characteristics during weekdays (OR: 1.42; 95% CI: 1.05-1.92) and weekends (OR: 1.50; 95% CI; 1.11-2.02). CONCLUSION: Three neighbourhoods with higher prevalence of overweight were identified. A small part of the association between overweight and neighbourhood is explained by socio-demographic factors and unhealthy behaviours measured in this study. Neighbourhoods with higher overweight prevalence are a priority setting for targeted interventions to prevent overweight. The association between neighbourhood and overweight needs to be explored further to understand the role the neighbourhood can play in tackling overweight.
Authors: Krystallia Mantziki; Achilleas Vassilopoulos; Gabriella Radulian; Jean-Michel Borys; Hugues Du Plessis; Maria João Gregório; Pedro Graça; Stefaan De Henauw; Svetoslav Handjiev; Tommy Ls Visscher; Jacob C Seidell Journal: BMC Public Health Date: 2015-12-02 Impact factor: 3.295
Authors: Meeke Hoedjes; Sabine Makkes; Jutka Halberstadt; Hanneke Noordam; Carry M Renders; Judith E Bosmans; Olga H van der Baan-Slootweg; Jacob C Seidell Journal: Obes Facts Date: 2018-04-10 Impact factor: 3.942
Authors: E Jessica Hrudey; Anton E Kunst; Karien Stronks; Tanja G M Vrijkotte Journal: Int J Environ Res Public Health Date: 2015-05-22 Impact factor: 3.390
Authors: Maaike Koning; Trynke Hoekstra; Elske de Jong; Tommy L S Visscher; Jacob C Seidell; Carry M Renders Journal: BMC Public Health Date: 2016-10-28 Impact factor: 3.295
Authors: Sabine Makkes; Carry M Renders; Judith E Bosmans; Olga H van der Baan-Slootweg; Jacob C Seidell Journal: BMC Pediatr Date: 2013-04-22 Impact factor: 2.125
Authors: Sara De Lepeleere; Ann DeSmet; Maïté Verloigne; Greet Cardon; Ilse De Bourdeaudhuij Journal: BMC Public Health Date: 2013-11-12 Impact factor: 3.295