75 research outputs found

    The neighborhood food environment: sources of historical data on retail food stores

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    With the rapidly increasing prevalence of obesity in the United States, and the minimal success of education-based interventions, there is growing interest in understanding the role of the neighborhood food environment in determining dietary behavior. This study, as part of a larger study, identifies historical data on retail food stores, evaluates strengths and limitations of the data for research, and assesses the comparability of historical retail food store data from a government and a commercial source. Five government and commercial listings of retail food stores were identified. The California State Board of Equalization (SBOE) database was selected and then compared to telephone business directory listings. The Spearman's correlation coefficient was used to assess the congruency of food store counts per census tract between the SBOE and telephone business directory databases. The setting was four cities in Northern California, 1979–1990. The SBOE and telephone business directory databases listed 127 and 351 retail food stores, respectively. The SBOE listed 36 stores not listed by the telephone business directories, while the telephone business directories listed 260 stores not listed by the SBOE. Spearman's correlation coefficients between estimates of stores per census tract made from the SBOE listings and those made from the telephone business directory listings were approximately 0.5 (p < .0001) for the types of stores studied (chain supermarkets, small grocery stores, and chain convenience markets). We conclude that, depending on the specific aims of the study, caution and considerable effort must be exercised in using and applying historical data on retail food stores

    Operational Implementation of the Healthy Communities Study How Communities Shape Children’s Health

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    The Healthy Communities Study (HCS) is examining how characteristics of community programs and policies targeting childhood obesity are related to childhood diet, physical activity, and obesity outcomes. The study involves selected districts and public schools in 130 communities; families recruited through schools; and data collected at the community, school, household, and child levels. Data collection took place in two waves—Wave 1 in Spring 2012 and Wave 2 from 2013 to 2015—with analysis to be completed by August 2016. This paper describes operational elements of the HCS, including recruitment activities, field operations, training of data collectors, human subjects protection, and quality assurance and quality control procedures. Experienced trainers oversaw and conducted all training, including training of: (1) district and school recruitment staff; (2) telephone interviewers for household screening and recruitment; (3) field data collectors for conducting household data collection; and (4) community liaisons for conducting key informant interviews, document abstraction, and community observations. The study team developed quality assurance and quality control procedures that were implemented for all aspects of the study. Planning and operationalizing a study of this complexity and magnitude, with multiple functional teams, required frequent communication and strong collaboration among all study partners to ensure timely and effective decision making

    Household Food Insecurity and Children’s Physical Activity and Sedentary Behaviour in the United States: The Healthy Communities Study

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    OBJECTIVE: To examine associations between household food insecurity and children\u27s physical activity and sedentary behaviours. DESIGN: Secondary analysis was conducted on the Healthy Communities Study, an observational study from 2013 to 2015. Household food insecurity was assessed by two items from the US Department of Agriculture\u27s 18-item US Household Food Security Survey Module. Physical activity was measured using the 7-d Physical Activity Behavior Recall instrument. Data were analyzed using multilevel statistical modelling. SETTING: A total of 130 communities in the USA. PARTICIPANTS: In sum, 5138 US children aged 4-15 years. RESULTS: No associations were found for the relationship between household food insecurity and child physical activity. A significant interaction between household food insecurity and child sex for sedentary behaviors was observed (P = 0·03). CONCLUSIONS: Additional research capturing a more detailed assessment of children\u27s experiences of food insecurity in relation to physical activity is warranted. Future studies may consider adopting qualitative study designs or utilizing food insecurity measures that specifically target child-level food insecurity. Subsequent research may also seek to further explore sub-group analyses by sex

    Association of Multisetting Community Programs and Policies With Child Body Mass Index: The Healthy Communities Study

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    INTRODUCTION: Expert opinion suggests that efforts to address childhood obesity should seek to transform the environments in which children operate. The objective of this study was to describe the extent to which multisetting programs and policies interact with community and child predictors and are associated with child body mass index (BMI) in the 130 US communities participating in the Healthy Communities Study. METHODS: For 2 years beginning in fall 2013, we collected data through key informant interviews on community programs and policies related to healthy weight among children that occurred in the 10 years before the interview. We characterized community programs and policies by intensity of efforts and the number of settings in which a program or policy was implemented. Child height and weight were measured during household data collection. We used multilevel modeling to examine associations of community programs and policies in multiple settings and child and community predictors with BMI z scores of children. RESULTS: The mean number of settings in which community policies and programs were implemented was 7.3 per community. Of 130 communities, 31 (23.8%) implemented community programs and policies in multiple settings. Higher-intensity community programs and policies were associated with lower BMI in communities that used multiple settings but not in communities that implemented programs and policies in few settings. CONCLUSION: Efforts to prevent childhood obesity may be more effective when community programs and policies are both intensive and are implemented in multiple settings in which children live, learn, and play

    Taking Action Together: A YMCA-based protocol to prevent Type-2 Diabetes in high-BMI inner-city African American children

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    <p>Abstract</p> <p>Background</p> <p>Associated with a tripling in obesity since 1970, type 2 diabetes mellitus (T2DM) in children has risen 9-10 fold. There is a critical need of protocols for trials to prevent T2DM in children.</p> <p>Methods/Design</p> <p>This protocol includes the theory, development, evaluation components and lessons learned from a novel YMCA-based T2DM prevention intervention designed specifically for high-BMI African American children from disadvantaged, inner-city neighborhoods of Oakland, California. The intervention was developed on the basis of: review of epidemiological and intervention studies of pediatric T2DM; a conceptual theory (social cognitive); a comprehensive examination of health promotion curricula designed for children; consultation with research, clinical experts and practitioners and; input from community partners. The intervention, <it>Taking Action Together</it>, included culturally sensitive and age-appropriate programming on: healthy eating; increasing physical activity and, improving self esteem.</p> <p>Discussion</p> <p>Evaluations completed to date suggest that <it>Taking Action Together </it>may be an effective intervention, and results warrant an expanded evaluation effort. This protocol could be used in other community settings to reduce the risk of children developing T2DM and related health consequences.</p> <p>Trial registration</p> <p>ClinicalTrials.gov NCT01039116.</p
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