Preventing childhood obesity: Health in the balance: Executive summary

Koplan, Jeffrey P.; Liverman, Catharyn T.; Kraak, Vivica

doi:10.1016/j.jada.2004.11.023

Cited by 376 publications

(235 citation statements)

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“…These data were compiled from the CDC’s Behavioral Risk Factor Surveillance System surveys (http://www.cdc.gov/brfss). Though only adults were surveyed, obesity and obesity‐related factors tend to cluster within families and communities so prevalence of adult obesity should correlate strongly with prevalence of obesity in children 29 , 37 …”

Section: Methodsmentioning

confidence: 99%

Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza‐related hospitalizations in the United States

Charland

Buckeridge

Hoen

et al. 2012

Influenza Resp Viruses

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Please cite this paper as: Charland et al.(2012) Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza‐related hospitalizations in the United States. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12019. Background Findings from studies examining the association between obesity and acute respiratory infection are inconsistent. Few studies have assessed the relationship between obesity‐related behavioral factors, such as diet and exercise, and risk of acute respiratory infection. Objective To determine whether community prevalence of obesity, low fruit/vegetable consumption, and physical inactivity are associated with influenza‐related hospitalization rates. Methods Using data from 274 US counties, from 2002 to 2008, we regressed county influenza‐related hospitalization rates on county prevalence of obesity (BMI ≥ 30), low fruit/vegetable consumption (<5 servings/day), and physical inactivity (<30 minutes/month recreational exercise), while adjusting for community‐level confounders such as insurance coverage and the number of primary care physicians per 100 000 population. Results A 5% increase in obesity prevalence was associated with a 12% increase in influenza‐related hospitalization rates [adjusted rate ratio (ARR) 1·12, 95% confidence interval (CI) 1·07, 1·17]. Similarly, a 5% increase in the prevalence of low fruit/vegetable consumption and physical inactivity was associated with an increase of 12% (ARR 1·12, 95% CI 1·08, 1·17) and 11% (ARR 1·11, 95% CI 1·07, 1·16), respectively. When all three variables were included in the same model, a 5% increase in prevalence of obesity, low fruit/vegetable consumption, and physical inactivity was associated with 6%, 8%, and 7% increases in influenza‐related hospitalization rates, respectively. Conclusions Communities with a greater prevalence of obesity were more likely to have high influenza‐related hospitalization rates. Similarly, less physically active populations, with lower fruit/vegetable consumption, tended to have higher influenza‐related hospitalization rates, even after accounting for obesity.

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Section: Methodsmentioning

confidence: 99%

Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza‐related hospitalizations in the United States

Charland

Buckeridge

Hoen

et al. 2012

Influenza Resp Viruses

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“…[6][7][8] However, there are several organizational and staff barriers that must be overcome. Thus, this study provides several recommendations for future after-school PA and nutrition programs.…”

Section: Implications For Research and Practicementioning

confidence: 99%

“…Compared to going home after school and being unsupervised, after-school programs provide adult supervision to decrease children's opportunities for obesity-related behaviors, such as screen time and sugar-sweetened beverage consumption and increase opportunities for healthful options. [6][7][8][9] However, most adults supervising children in after-school programs do not engage children in physical activity and healthful eating. 10 One major challenge to conducting obesity prevention research in after-school settings is to build the capacity of after-school staff to establish and maintain high-quality program implementation.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Implementation of Organized Physical Activity and Fruit and Vegetable Snacks in the HOP'N After-School Obesity Prevention Program

Hastmann

Bopp

Fallon

et al. 2013

Journal of Nutrition Education and Behavior

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“…Obesity is caused by a long-term imbalance between energy intake and expenditure. Many dietary and physical activity behaviors increase the risk of becoming overweight and obese, one of which is skipping breakfast (Koplan et al, 2005). Prevention of overweight and obesity is recommended to combat this growing public health problem and eating breakfast daily is one of the prevention methods (Koplan et al, 2005;Barlow, 2007).…”

Section: Introductionmentioning

confidence: 99%

Environmental and cognitive correlates of adolescent breakfast consumption

DeJong

Lenthe

Horst

et al. 2009

Preventive Medicine

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Objective. This study aimed to identify cognitive and environmental correlates of daily adolescent breakfast consumption.Methods. Adolescents (n = 1089) aged 12-15 years in schools in Rotterdam, The Netherlands, completed a questionnaire measuring daily breakfast consumption, individual cognitions, and home environmental factors during the 2005-2006 school year. Multilevel logistic regression analysis was performed to determine the association between the environmental variables, cognitions and everyday breakfast consumption. Additionally, mediation of the effect of the environmental variables through the individual cognitions on breakfast consumption was explored.Results. Attitude, perceived behavioral control, modeling by friends and parents, and intention were associated with daily breakfast consumption. Political (breakfast rules), physical (available breakfast products), and socio-cultural (having breakfast with a parent, having the evening meal with a parent, eating the evening meal in front of the TV) environments were also associated with daily breakfast consumption. Associations of the environmental factors were partly mediated by the individual cognitions.Conclusions. Individual cognitions and a supportive home environment are associated with adolescent breakfast consumption. Since parents primarily shape the home environment, interventions aimed at improving adolescent breakfast consumption should target the parent as well as the adolescent.

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Preventing childhood obesity: Health in the balance: Executive summary

Cited by 376 publications

References 0 publications

Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza‐related hospitalizations in the United States

Relationship between community prevalence of obesity and associated behavioral factors and community rates of influenza‐related hospitalizations in the United States

Factors Influencing the Implementation of Organized Physical Activity and Fruit and Vegetable Snacks in the HOP'N After-School Obesity Prevention Program

Environmental and cognitive correlates of adolescent breakfast consumption

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