Relationship between retail food outlets near public schools and adolescent obesity in New York City.
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ABSTRACT:
SUBMITTER: Rummo PE
PROVIDER: S-EPMC7540254 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Policies target fast food outlets to curb adolescent obesity. We argue that researchers should examine the entire retail ecology of neighborhoods, not just fast food outlets. We examine the association between the neighborhood retail environment and obesity using Fitnessgram data collected from 94,348 New York City public high school students. In generalized hierarchical linear models, the number of fast food restaurants predicted lower odds of obesity for adolescents (OR:0.972 per establishment; CI:0.957-0.988). In a "placebo test" we found that banks--a measure of neighborhood retail ecology--also predicted lower obesity (OR:0.979 per bank; CI:0.962-0.994). Retail disinvestment might be associated with greater obesity; accordingly, public health research should study the influence of general retail disinvestment not just food-specific investment.
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Project description:Demographic and income disparities may impact food accessibility. Research has not yet well documented the precise location of healthy and unhealthy food resources around children's homes and schools. The objective of this study was to examine the food environment around homes and schools for all public school children, stratified by race/ethnicity and poverty status. This cross-sectional study linked data on the exact home and school addresses of a population-based sample of public school children in New York City from 2013 to all corner stores, supermarkets, fast-food restaurants, and wait-service restaurants. Two measures were created around these addresses for all children: 1) distance to the nearest outlet, and 2) count of outlets within 0.25 miles. The total analytic sample included 789,520 K-12 graders. The average age was 11.78 years (SD ± 4.0 years). Black, Hispanic, and Asian students live and attend schools closer to nearly all food outlet types than White students, regardless of poverty status. Among not low-income students, Black, Hispanic, and Asian students were closer from home and school to corner stores and supermarkets, and had more supermarkets around school than White students. The context in which children live matters, and more nuanced data is important for development of appropriate solutions for childhood obesity. Future research should examine disparities in the food environment in other geographies and by other demographic characteristics, and then link these differences to health outcomes like body mass index. These findings can be used to better understand disparities in food access and to help design policies intended to promote healthy eating among children.
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Project description:ObjectiveThis study aimed to examine the relationship between proximity to healthy and unhealthy food outlets around children's homes and their weight outcomes.MethodsA total of 3,507,542 student-year observations of height and weight data from the 2009-2013 annual FitnessGram assessment of New York City public school students were used. BMI z scores were calculated, student obesity or obesity/overweight was determined using Centers for Disease Control and Prevention growth charts, and these data were combined with the locations of four food outlet types (fast-food restaurants, wait-service restaurants, corner stores, and supermarkets) to calculate distance to the nearest outlet. Associations between weight status outcomes and distance to these food outlet types were examined using neighborhood (census tract) fixed effects.ResultsLiving farther than 0.025 mile (about half of a city block) from the nearest fast-food restaurant was associated with lower obesity and obesity/overweight risk and lower BMI z scores. Results ranged from 2.5% to 4.4% decreased obesity. Beyond this distance, there were generally no impacts of the food environment and little to no impact of other food outlet types.ConclusionsProximity to fast-food restaurants was inversely related to childhood obesity, but no relationships beyond that were seen. These findings can help better inform policies focused on food access, which could, in turn, reduce childhood obesity.
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Project description:INTRODUCTION:Patient counseling can ideally be providing medication information orally or in written form to patients or their attendants, and it helps to form a concordant approach on encouraging patient involvement in the pharmaceutical care process and to explore patient's knowledge and understanding. Lack of adequate knowledge on drugs and up-to-date drug information are the major factor that hinders counseling services. This study assessed counseling practice of pharmacy professionals in Mekelle City. METHODS:A facility-based cross-sectional study was conducted. Professionals who volunteered to participate were involved. Self-administered questionnaires were used as data collecting tool to grasp professionals' practice on patient counseling, and the data were analyzed by using SPSS version 23. One-way analysis of variance and post hoc statistical tests were done to check for association between sociodemographic and other variables of counseling practice. In the statistical analyses, p-value of 0.05 and 95% confidence interval were considered. RESULTS:The most frequent drug information given by the pharmacy professionals to clients were unit dose (65%), frequency of administration (79%), and duration of therapy (62%). Study participants claimed that lack of knowledge (37%), lack of updated drug information (49%), high patient load (62%), and absence of a private counseling room (51%) were the main factors that prohibit pharmacy professionals from counseling their patients. Those pharmacy professionals whose monthly income was <2000 Ethiopian Birr claimed lack of knowledge (p=0.007), limited access for updated drug information (p=0.009), and lack of experience (p=0.039) as factors for poor counseling practice. Results of the post hoc analysis showed significant difference among the participants with <5 and >10 years of experience in providing information on storage conditions and written materials with p-value of 0.025 and 0.016, respectively. CONCLUSION:This study proves that the level of satisfactory counseling is still very low compared to the expected practice. Lack of knowledge, lack of updated drug information, high patient load, absence of private counseling room, and underestimating the importance of counseling were identified as some of the factors that impede counseling services.
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Project description:A systematic assessment of the effect of COVID-19 on the food retail environment-an important determinant of health-has not been conducted. Our objective was to assess the impact of COVID-19 on closures of restaurants, food retail stores, and fresh produce vendors in New York City (NYC). We conducted a cross-sectional study following the peak of COVID-19 in six neighborhoods in NYC. Two Chinese ethnic neighborhoods and four higher/lower resourced comparison neighborhoods were selected a priori based on 14 sociodemographic indicators. The primary outcome was indefinite/temporary closures or absence of food businesses. Of 2720 food businesses identified, produce vendors and restaurants were more likely to close than food retail stores. A higher proportion of food businesses closed in Chinese ethnic neighborhoods vs. comparison neighborhoods. COVID-19 impacted food businesses in six NYC neighborhoods examined in this period, with the greatest effect observed for Chinese ethnic neighborhoods.
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Project description:INTRODUCTION:Physical activity overall and during school-related opportunities among homeschool adolescents are poorly documented. METHODS:We used data from the National Cancer Institute's Family Life, Activity, Sun, Health, and Eating (FLASHE) study, a national sample of parent-child dyads. We examined reported frequency of physical activity in middle-school and high-school respondents (N = 1,333). We compared the overall physical activity by school type (ie, public school, private school, and homeschool), compared school-related contexts (eg, recess, physical education [PE] class), and tested for level of physical activity by school for those reporting PE. RESULTS:Middle-school homeschool adolescents reported less physical activity during school hours compared with public school, but not private school, adolescents. Physical activity was not different by school type for out of school or weekends. Physical activity of high-school homeschool adolescents was not different from that of high-school adolescents at traditional schools; homeschool adolescents in both middle and high school reported less physical activity in PE compared with public and private school adolescents. Other school-related contexts of physical activity were not different by school type. More homeschool students reported not having PE (middle school, 54.8%; high school, 57.5%) compared with public (middle school, 18.7%; high school, 38.0%) or private schools (middle school, 13.5%; high school, 41.5%). CONCLUSION:Homeschool adolescents in middle school reported less physical activity compared with middle-school adolescents in traditional schools during school hours, likely because of having fewer PE classes and less physical activity during PE.
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Project description:IntroductionPrevious studies have found that tobacco retailers cluster near schools. However, all retail outlets may be located near each other and near schools due to existing infrastructure and zoning policies. We assessed whether tobacco retailers cluster near schools in the United States more than expected when accounting for existing retail locations.Aims and methodsWe identified 322 056 probable tobacco retailers, 95 110 public schools, and more than 3.8 million businesses comparable to tobacco retailers in land use and business type. We created 500 simulated tobacco retailer datasets by randomly selecting from the larger list of businesses. For each simulated dataset, we calculated the distance from schools to the nearest tobacco retailer (proximity) and the count of tobacco retailers within 800 m of schools (density). Observed proximity and density values were compared to 95% coverage intervals from the 500 simulations. We stratified analyses by urbanicity, percentage of students in the free and reduced-priced lunch program (FRLP), and percentage of Hispanic/Latino, non-Hispanic Black, and non-Hispanic white students.ResultsTobacco retailers were closer to schools in rural areas, cities, and towns and more dense around schools in rural areas, cities, and suburbs compared to random locations in potential retail space. Schools with more students receiving FRLP had higher density than expected while schools with fewer students receiving FRLP had lower density than expected. Within rural areas, clustering did not vary across sociodemographic groups. Within non-rural areas, there were inequities in clustering by racial, ethnic, and socioeconomic school composition.ConclusionsTobacco retailers cluster near schools after accounting for existing business patterns. There are inequities in clustering by sociodemographic school composition.ImplicationsThis study provides compelling evidence that tobacco retailers cluster near US public schools and that there are racial, ethnic, and socioeconomic inequities in clustering, even when accounting for overall retail location patterns. Given that public schools tend to reflect neighborhood demographics, policies to limit tobacco retailers near schools may reduce both school-based and neighborhood-based inequities.
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