Neighbourhood food environment and dietary intakes in adolescents: Sex and perceived family affluence as moderators

Ho, Sai-Yin; Wong, Bonny Yee-Man; Lo, Woo-Kuen; Mak, KL; Thomas, G. Neil; Lam, Tai Hing

doi:10.3109/17477160903505910

Cited by 42 publications

(65 citation statements)

References 35 publications

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“…8,30,31 Differences in neighborhood access to recreational facilities and produce markets, school food services and policies affecting PA, and availability of healthful versus unhealthful foods and support for PA at home are potential socioenvironmental contributors to racial/ ethnic differences. [32][33][34][35][36] The higher prevalence of overweight and obesity and the pattern of obesogenic behaviors in nonwhite groups confirm the need to identify the social and environmental conditions that influence these behaviors in adolescents and the need for interventions targeting the full range of obesogenic behaviors in US minority children and adolescents.…”

Section: Weight Statusmentioning

confidence: 96%

Trends in Physical Activity, Sedentary Behavior, Diet, and BMI Among US Adolescents, 2001–2009

2013

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WHAT'S KNOWN ON THIS SUBJECT:The prevalence of overweight and obesity in US adolescents has increased over the last century. However, recent evidence indicates a potential change in this trend. Parallel trends in adolescent behaviors that drive this epidemic have not been well studied. WHAT THIS STUDY ADDS:Analyses of recent data indicate the prevalence of overweight and obesity may be stabilizing. Over the same period, adolescent physical activity, breakfast eating, and fruit and vegetable consumption increased and television viewing and consumption of sweets and sweetened beverages decreased. abstract OBJECTIVE: The high prevalence of adolescent obesity in the United States has been attributed to population changes in physical activity (PA), sedentary behaviors, and dietary behaviors. This study examines 8-year trends in these behaviors in US adolescents ages 11 to 16. METHODS:Nationally representative samples of US students in grades 6 to 10 were recruited during the 2001-2002 (N = 14 607), 2005-2006 (N = 9150), and 2009-2010 (N = 10 848) school years by using multistage stratified designs, with census regions and grades as strata, and school districts as the primary sampling units. African-American and Hispanic students were oversampled to obtain better estimates for those groups. Using the Health Behavior in School-aged Children quadrennial surveys, identical questions assessed BMI, PA, and sedentary and dietary behaviors at each school year. Logistic and linear regression analyses were conducted taking into account the sampling design and controlling for age, gender, race/ethnicity, and family affluence. RESULTS:Across the quadrennial surveys, significant increases were identified in number of days with at least 60 minutes of PA, daily consumption of fruits and vegetables, eating breakfast on weekdays and weekends, and BMI. Television viewing and consumption of sweets and sweetened beverages decreased across this same period. These same patterns were seen in all racial/ethnic groups.CONCLUSIONS: These patterns suggest that public health efforts to improve the obesity-related behaviors of US adolescents may be having some success. However, alternative explanations for the increase in BMI over the same period need to be considered. Dr Iannotti conceptualized and designed the study, coordinated and supervised data collection, contributed to the analysis, and drafted the initial manuscript; Dr Wang contributed to the conceptualization of the manuscript, carried out the initial analyses, and reviewed and revised the manuscript; and all authors approved the final manuscript as submitted.www.pediatrics.org/cgi

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Section: Weight Statusmentioning

confidence: 96%

Trends in Physical Activity, Sedentary Behavior, Diet, and BMI Among US Adolescents, 2001–2009

2013

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“…Therefore, the questionnaire developed and validated in the present study addressed an important gap in this area of research. Other authors have generally assessed either access to healthy foods or to fast food using one to four non-validated items (9,12,15,17,20,26,28,36,37) . Mujahid et al (21) have validated a three-item availability to healthy foods questionnaire, measuring the internal consistency and the test-retest reliability of the scale.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of the Perceived Food Environment Questionnaire in a French-Canadian population

Carbonneau¹,

Robitaille²,

Lamarche³

et al. 2017

Public Health Nutr.

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Objective: The aim of this study was to develop and validate a questionnaire assessing perceived food environment in a French-Canadian population.Design: A questionnaire, the Perceived Food Environment Questionnaire, was developed assessing perceived accessibility to healthy (9 items) and unhealthy foods (three items). A pretest sample of 31 participants were recruited for a pilot testing of the questionnaire. For the validation study, 150 men and women from the Québec City area were recruited and completed the questionnaire twice.! An Exploratory Factor Analysis (EFA) was performed on the items to assess the number of factors (subscales). Cronbach alphas were used to measure internal consistency reliability. Test-retest reliability was assessed with Pearson correlations.Setting: Online survey. Results:The pilot testing did not lead to any change in the questionnaire. The EFA revealed a twosubscale structure. The first subscale is composed of six items assessing accessibility to healthy foods and the second includes three items related to accessibility to unhealthy foods. Three items were removed from the questionnaire due to low loading on the two subscales. The subscales demonstrated adequate internal consistency (Cronbach alpha: 0.77 for healthy foods, and 0.62 for unhealthy foods) and test-retest reliability (r=0.59 and 0.60 respectively, ps<0.0001). Conclusions:The Perceived Food Environment Questionnaire was developed for a French-Canadian population and demonstrated good psychometric properties. Further validation is recommended if the questionnaire is to be used in other populations.

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“…Controlling the food environment within the school may be a useful way to prevent obesity by reducing energy intake (14) . The perceived availability of FS and CS was associated with a higher intake of unhealthy foods among secondaryschool students in Hong Kong (15) . To our knowledge, geographical mapping of Asian communities and commercial food landscapes has not been performed yet; this procedure may help us understand the health implications in a densely populated setting.…”

mentioning

confidence: 99%

Fast-food outlets and walkability in school neighbourhoods predict fatness in boys and height in girls: a Taiwanese population study

Chiang

Wahlqvist

Lee

et al. 2011

Public Health Nutr.

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Objective: There is increasing evidence that the school food environment contributes to childhood obesity and health in various locations. We investigated the influence of fast-food stores and convenience food stores (FS and CS, respectively) on growth and body composition in a range of residential densities for North-east Asian food culture. Design: Anthropometrics and birth weight of schoolchildren were obtained. Geocoded mapping of schools and food outlets was conducted. Multivariable linear regression models, adjusted for father's ethnicity and education, as well as for household income, pocket money, birth weight, physical activity, television watching, food quality and region, were used to predict body composition from school food environments. Results: Remote and socially disadvantaged locations had the highest prevalence of lower weight, BMI, waist circumference and triceps skinfold thickness. Food store densities, FS and CS, were highest in urban Taiwan and lowest in remote Taiwan. In the fully adjusted models, FS densities predicted weight and BMI in boys; there was a similar association for waist circumference, except when adjusted for region. FS densities also predicted height for girls. Except for weight and BMI in boys, CS did not have effects evident with FS for either boys or girls. Conclusions: A high FS density, more than CS density, in Taiwan increased the risk of general (BMI) and abdominal (waist circumference) obesity in boys and stature in girls. These findings have long-term implications for chronic disease in adulthood.

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Neighbourhood food environment and dietary intakes in adolescents: Sex and perceived family affluence as moderators

Abstract: Perceived availability of neighbourhood fast-food shops, restaurants, and convenience stores may have a negative impact on adolescent dietary intakes particularly for those from poorer families.

Cited by 42 publications

References 35 publications

Trends in Physical Activity, Sedentary Behavior, Diet, and BMI Among US Adolescents, 2001–2009

Trends in Physical Activity, Sedentary Behavior, Diet, and BMI Among US Adolescents, 2001–2009

Development and validation of the Perceived Food Environment Questionnaire in a French-Canadian population

Fast-food outlets and walkability in school neighbourhoods predict fatness in boys and height in girls: a Taiwanese population study

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