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Anderson CE, Whaley SE, Goran MI. The neighborhood food environment modifies the association between infant feeding and childhood obesity. BMC Public Health 2024; 24:1264. [PMID: 38720256 PMCID: PMC11080259 DOI: 10.1186/s12889-024-18755-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) issues infant formula to infants who are not fully breastfed, and prior research found elevated obesity risk among children receiving lactose-reduced infant formula with corn syrup solids (CSSF) issued by WIC. This study was conducted to evaluate associations between a broader set of specialty infant formulas issued by WIC and child obesity risk, whether neighborhood context (e.g. neighborhood food environment) modifies associations, and whether racial/ethnic disparities in obesity are partly explained by infant formula exposure and neighborhood context. METHODS WIC administrative data, collected from 2013-2020 on issued amount (categorical: fully formula fed, mostly formula fed, mostly breastfed, fully breastfed) and type of infant formula (standard cow's milk formula, and three specialty formulas: any CSSF, any soy-based formula, and any cow's milk-based formula with added rice starch) and obesity at ages 2-4 years (defined as a Body Mass Index z-score ≥ 95th percentile according to World Health Organization growth standard) were used to construct a cohort (n = 59,132). Associations of infant formula exposures and race/ethnicity with obesity risk were assessed in Poisson regression models, and modification of infant feeding associations with obesity by neighborhood context was assessed with interaction terms. RESULTS Any infant formula exposure was associated with significantly higher obesity risk relative to fully breastfeeding. Receipt of a CSSF was associated with 5% higher obesity risk relative to the standard and other specialty infant formulas (risk ratio 1.05, 95% confidence interval 1.02, 1.08) independent of breastfeeding duration and receipt of other specialty infant formulas. The association between CSSF and obesity risk was stronger in neighborhoods with healthier food environments (10% higher risk) compared to less healthy food environments (null). Racial/ethnic disparities in obesity risk were robust to adjustment for infant formula exposure and neighborhood environment. CONCLUSIONS Among specialty infant formulas issued by WIC, only CSSFs were associated with elevated obesity risk, and this association was stronger in healthier food environments. Future research is needed to isolate the mechanism underlying this association.
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Affiliation(s)
- Christopher E Anderson
- Division of Research and Evaluation, Public Health Foundation Enterprises (PHFE) WIC, a Program of Heluna Health, 13181 Crossroads Parkway N #540, City of Industry, CA, 91746, USA.
| | - Shannon E Whaley
- Division of Research and Evaluation, Public Health Foundation Enterprises (PHFE) WIC, a Program of Heluna Health, 13181 Crossroads Parkway N #540, City of Industry, CA, 91746, USA
| | - Michael I Goran
- Department of Pediatrics, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA
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2
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Anderson CE, Goran MI, Whaley SE. Any Infant Formula Amount, but Not Infant Formula Type, Is Associated with Less Healthful Subsequent Beverage Intake among Special Supplemental Nutrition Program for Women, Infants, and Children-Participating Children. Curr Dev Nutr 2024; 8:102094. [PMID: 38419833 PMCID: PMC10897848 DOI: 10.1016/j.cdnut.2024.102094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 03/02/2024] Open
Abstract
Background The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides nutrition assistance to low-income households, including infant formula for infants not fully breastfeeding. Issuance of lactose-reduced infant formula made with corn syrup solids (CSSF) is associated with elevated risk of obesity in early life, but associations between formula type and dietary intake have not been examined. Objectives To evaluate associations between infant formula (amount and type) issued by WIC with subsequent child diet at ages 12-59 mo. Methods Dietary data from 2014, 2017, and 2020 Los Angeles County WIC Survey respondents (n = 1339 children, 12-59 mo of age) were merged with WIC administrative data on infant feeding (amount and type of infant formula at ages 0-12 mo). Intake frequencies were available for sweetened beverages, sweets, juice, fast food, water, fruit, vegetables, and milk. Infant feeding was categorized by amount of WIC-issued formula (descending: fully formula fed, mostly formula fed, mostly breastfed, fully breastfed) and issuance of a CSSF (any, none). Associations between infant feeding (infant formula amount and type) and child diet were evaluated in multivariable generalized estimating equation negative binomial regression models, stratified by child age (12 to <24 mo, 24 to <60 mo). Results Any infant formula issuance in the first year of life was adversely associated with subsequent dietary intake. This included 21%-23% higher 100% juice intake at 24 to <60 mo and 11%-13% (at 24 to <60 mo) or 20%-22% (at 12 to <24 mo) lower water intake. CSSF receipt compared with only other infant formula was not consistently associated with subsequent child diet. Conclusions Any infant formula amount, but not CSSF receipt compared with other formula types, was associated with less healthful beverage intake patterns among WIC-participating children. WIC nutrition education may have a stronger impact if tailored based on infant feeding practices.
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Affiliation(s)
- Christopher E Anderson
- Division of Research and Evaluation, Public Health Foundation Enterprises (PHFE) WIC, a program of Heluna Health, City of Industry, CA, United States
| | - Michael I Goran
- Department of Pediatrics, Children’s Hospital Los Angeles, University of Southern California, Los Angeles, CA, United States
| | - Shannon E Whaley
- Division of Research and Evaluation, Public Health Foundation Enterprises (PHFE) WIC, a program of Heluna Health, City of Industry, CA, United States
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3
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Longitudinal association between density of retail food stores and body mass index in Mexican school children and adolescents. Int J Obes (Lond) 2023; 47:365-374. [PMID: 36792910 PMCID: PMC10147568 DOI: 10.1038/s41366-023-01273-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/30/2023] [Accepted: 02/01/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND Obesity is rapidly increasing in Mexican children and adolescents, while food environments are rapidly changing. We evaluated the association between changes in retail food stores and change in body mass index (BMI) in Mexican children and adolescents. METHODS Data on 7507 participants aged 5-19 years old came from the Mexican Family Life Survey 2002-2012. Density of food stores at the municipal-level (number of food stores/area in km2) came from the Economic Censuses of 1999, 2004 and 2009. We categorized food stores as small food retail (small neighborhood stores, tiendas de abarrotes in Mexico), specialty foods, fruit/vegetables, convenience foods, and supermarkets. Associations between change in food stores and change in BMI were estimated using five longitudinal linear fixed-effects regression models (one per type of food store) adjusted for age, parental education, municipal-level socioeconomic deprivation and population density. Density of each food store type was operationalized as quartiles. Analyses were stratified by urbanization. RESULTS There was an inverse dose-response association between increases in fruit/vegetable store density and BMI (β = -0.455 kg/m2, β = -0.733 kg/m2, and β = -0.838 kg/m2 in the second, third, and fourth quartile). In non-urban areas, children living in municipalities with the highest density of small food retail stores experienced a reduction in BMI (β = -0.840 kg/m2). In urban areas, there was an inverse association between specialty food stores with BMI (β = -0.789 kg/m2 in third quartile, and β = -1.204 kg/m2 in fourth quartile). We observed dynamic associations with age; results suggested stronger associations in adolescents. CONCLUSIONS The availability of fruit/vegetable stores may influence a reduction in children and adolescents BMI. These results indicate that policy approaches could be tailored by type of food store - with some consideration for level of urbanization and children's age.
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Nianogo RA, Arah OA. Forecasting Obesity and Type 2 Diabetes Incidence and Burden: The ViLA-Obesity Simulation Model. Front Public Health 2022; 10:818816. [PMID: 35450123 PMCID: PMC9016163 DOI: 10.3389/fpubh.2022.818816] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/01/2022] [Indexed: 11/15/2022] Open
Abstract
Background Obesity is a major public health problem affecting millions of Americans and is considered one of the most potent risk factors for type 2 diabetes. Assessing future disease burden is important for informing policy-decision making for population health and healthcare. Objective The aim of this study was to develop a computer model of a cohort of children born in Los Angeles County to study the life course incidence and trends of obesity and its effect on type 2 diabetes mellitus. Methods We built the Virtual Los Angeles cohort—ViLA, an agent-based model calibrated to the population of Los Angeles County. In particular, we developed the ViLA-Obesity model, a simulation suite within our ViLA platform that integrated trends in the causes and consequences of obesity, focusing on diabetes as a key obesity consequence during the life course. Each agent within the model exhibited obesity- and diabetes-related healthy and unhealthy behaviors such as sugar-sweetened beverage consumption, physical activity, fast-food consumption, fresh fruits, and vegetable consumption. In addition, agents could gain or lose weight and develop type 2 diabetes mellitus with a certain probability dependent on the agent's socio-demographics, past behaviors and past weight or type 2 diabetes status. We simulated 98,230 inhabitants from birth to age 65 years, living in 235 neighborhoods. Results The age-specific incidence of obesity generally increased from 10 to 30% across the life span with two notable peaks at age 6–12 and 30–39 years, while that of type 2 diabetes mellitus generally increased from <2% at age 18–24 to reach a peak of 25% at age 40–49. The 16-year risks of obesity were 32.1% (95% CI: 31.8%, 32.4%) for children aged 2–17 and 81% (95% CI: 80.8%, 81.3%) for adults aged 18–65. The 48-year risk of type 2 diabetes mellitus was 53.4% (95% CI: 53.1%, 53.7%) for adults aged 18–65. Conclusion This ViLA-Obesity model provides an insight into the future burden of obesity and type 2 diabetes mellitus in Los Angeles County, one of the most diverse places in the United States. It serves as a platform for conducting experiments for informing evidence-based policy-making.
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Affiliation(s)
- Roch A Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, United States.,California Center for Population Research (CCPR), Los Angeles, CA, United States
| | - Onyebuchi A Arah
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, United States.,California Center for Population Research (CCPR), Los Angeles, CA, United States.,Department of Statistics, Division of Physical Sciences, UCLA College, Los Angeles, CA, United States.,Research Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark
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5
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Daniels KM, Schinasi LH, Auchincloss AH, Forrest CB, Diez Roux AV. The built and social neighborhood environment and child obesity: A systematic review of longitudinal studies. Prev Med 2021; 153:106790. [PMID: 34506813 DOI: 10.1016/j.ypmed.2021.106790] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 08/17/2021] [Accepted: 09/05/2021] [Indexed: 11/25/2022]
Abstract
The built and social neighborhood environment where a child lives has been increasingly studied as an exposure that may affect child weight long term. We conducted a systematic review of primary research articles published in 2011 through 2019 that reported results from longitudinal analyses of associations between neighborhood environment characteristics and child obesity or weight. Neighborhood environment measures included proximity to food stores, parks, and recreational facilities, walkability, crime, perceived safety, and social cohesion. Information on study population, exposure and outcome measures, and main results were extracted from 39 studies and results were presented for full cohorts and stratified by sex. Most studies were prospective cohorts (90%) with a median follow-up time of six years. Studies analyzing changes in the neighborhood versus changes in weight were less common than approaches analyzing baseline measures of the neighborhood environment in relation to obesity incidence or weight trajectories. Associations varied by sex, race/ethnicity, and age group. Within the food environment domain, the strongest evidence of adverse impact was for fast food restaurants but the effect was only apparent among girls. Results suggested green space, parks, and recreational facilities may have a beneficial effect on weight. Increased crime and low perceived safety may be risk factors for increased weight although not all studies were consistent. Standardization of measures across studies, investigation of multiple social and physical environment measures simultaneously, effect modification by demographic characteristics, and change in the environment vs change in weight analyses are needed to strengthen conclusions.
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Affiliation(s)
- Kimberly M Daniels
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
| | - Leah H Schinasi
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Environmental and Occupational Health, Drexel Dornsife School of Public Health, Philadelphia, PA, USA
| | - Amy H Auchincloss
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, USA
| | - Christopher B Forrest
- Applied Clinical Research Center, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ana V Diez Roux
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, USA
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Frank ML, Sprada GB, Hultstrand KV, West CE, Livingston JA, Sato AF. Toward a deeper understanding of food insecurity among college students: examining associations with emotional eating and biological sex. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2021:1-9. [PMID: 34133263 DOI: 10.1080/07448481.2021.1936536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 04/15/2021] [Accepted: 05/10/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE The present study sought to extend our understanding of food insecurity among college students, including aims to replicate the high prevalence of food insecurity among college student samples, examine the food insecurity - emotional eating association, and determine whether biological sex moderates this association. PARTICIPANTS Participants included 232 students (82.3% female; 83.2% Caucasian) enrolled at a U.S. university. METHODS Participants completed the Household Food Security Survey Module: Short Form and Emotional Eating Scale as part of a larger study. RESULTS Of the participants, 37.5% reported food insecurity. Food insecurity was positively associated with emotional eating (B = 1.35, 95% CI[0.24, 2.48]), controlling for body mass index (BMI). The association was stronger for males (95% CI[1.07, 6.54]) than females (95% CI[-0.29, 2.07]). CONCLUSIONS College students, particularly males, who experience food insecurity may be at greater risk for emotional eating. Future research should investigate risk factors linked to both food insecurity and emotional eating among college students.
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Affiliation(s)
- Miranda L Frank
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
| | - Giane B Sprada
- Department of Nutrition, Universidade Federal do Paraná, Curitiba, Brazil
| | - Kara V Hultstrand
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
| | - Caroline E West
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
| | | | - Amy F Sato
- Department of Psychological Sciences, Kent State University, Kent, Ohio, USA
- Brain Health Research Institute, Kent State University, Kent, Ohio, USA
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Ohri-Vachaspati P, Acciai F, Lloyd K, Tulloch D, DeWeese RS, DeLia D, Todd M, Yedidia MJ. Evidence That Changes in Community Food Environments Lead to Changes in Children's Weight: Results from a Longitudinal Prospective Cohort Study. J Acad Nutr Diet 2021; 121:419-434.e9. [PMID: 33309589 PMCID: PMC8742245 DOI: 10.1016/j.jand.2020.10.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/22/2020] [Accepted: 10/14/2020] [Indexed: 11/05/2022]
Abstract
BACKGROUND Strategies to improve the community food environment have been recommended for addressing childhood obesity, but evidence substantiating their effectiveness is limited. OBJECTIVE Our aim was to examine the impact of changes in availability of key features of the community food environment, such as supermarkets, small grocery stores, convenience stores, upgraded convenience stores, pharmacies, and limited service restaurants, on changes in children's body mass index z scores (zBMIs). DESIGN We conducted a longitudinal cohort study. PARTICIPANTS/SETTING Two cohorts of 3- to 15-year-old children living in 4 low-income New Jersey cities were followed during 2- to 5-year periods from 2009 through 2017. Data on weight status were collected at 2 time points (T1 and T2) from each cohort; data on food outlets in the 4 cities and within a 1-mile buffer around each city were collected multiple times between T1 and T2. MAIN OUTCOME MEASURES We measured change in children's zBMIs between T1 and T2. STATISTICAL ANALYSIS Changes in the food environment were conceptualized as exposure to changes in counts of food outlets across varying proximities (0.25 mile, 0.5 mile, and 1.0 mile) around a child's home, over different lengths of time a child was exposed to these changes before T2 (12 months, 18 months, and 24 months). Multivariate models examined patterns in relationships between changes in zBMI and changes in the food environment. RESULTS Increased zBMIs were observed in children with greater exposure to convenience stores over time, with a consistent pattern of significant associations across varying proximities and lengths of exposure. For example, exposure to an additional convenience store over 24 months within 1 mile of a child's home resulted in 11.7% higher odds (P = 0.007) of a child being in a higher zBMI change category at T2. Lower zBMIs were observed in children with increased exposure to small grocery stores selling an array of healthy items, with exposure to an additional small grocery store within 1 mile over 24 months, resulting in 37.3% lower odds (P < 0.05) of being in a higher zBMI change category at T2. No consistent patterns were observed for changes in exposure to supermarkets, limited service restaurants, or pharmacies. CONCLUSIONS Increased availability of small grocery stores near children's homes may improve children's weight status, whereas increased availability of convenience stores is likely to be detrimental.
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Affiliation(s)
| | - Francesco Acciai
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Kristen Lloyd
- Center for State Health Policy, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ
| | - David Tulloch
- Center for Remote Sensing and Spatial Analysis, Department of Landscape Architecture, Rutgers University, New Brunswick, NJ
| | - Robin S DeWeese
- College of Health Solutions, Arizona State University, Phoenix, AZ
| | - Derek DeLia
- MedStar Health Research Institute, Hyattsville, MD; Department of Plastic and Reconstructive Surgery, Georgetown University School of Medicine, Washington, DC
| | - Michael Todd
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix
| | - Michael J Yedidia
- Center for State Health Policy, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ
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Mei K, Huang H, Xia F, Hong A, Chen X, Zhang C, Qiu G, Chen G, Wang Z, Wang C, Yang B, Xiao Q, Jia P. State-of-the-art of measures of the obesogenic environment for children. Obes Rev 2021; 22 Suppl 1:e13093. [PMID: 32725754 PMCID: PMC7988549 DOI: 10.1111/obr.13093] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 06/17/2020] [Indexed: 11/27/2022]
Abstract
Various measures of the obesogenic environment have been proposed and used in childhood obesity research. The variety of measures poses methodological challenges to designing new research because methodological characteristics integral to developing the measures vary across studies. A systematic review has been conducted to examine the associations between different levels of obesogenic environmental measures (objective or perceived) and childhood obesity. The review includes all articles published in the Cochrane Library, PubMed, Web of Science and Scopus by 31 December 2018. A total of 339 associations in 101 studies have been identified from 18 countries, of which 78 are cross-sectional. Overall, null associations are predominant. Among studies with non-null associations, negative relationships between healthy food outlets in residential neighbourhoods and childhood obesity is found in seven studies; positive associations between unhealthy food outlets and childhood obesity are found in eight studies, whereas negative associations are found in three studies. Measures of recreational or physical activity facilities around the participants' home are also negatively correlated to childhood obesity in nine out of 15 studies. Results differ by the types of measurement, environmental indicators and geographic units used to characterize obesogenic environments in residential and school neighbourhoods. To improve the study quality and compare reported findings, a reporting standard for spatial epidemiological research should be adopted.
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Affiliation(s)
- Kun Mei
- Health Assessment Center, Wenzhou Medical University, Wenzhou, China.,Zhejiang Provincial Key Laboratory of Watershed Science and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Hong Huang
- Health Assessment Center, Wenzhou Medical University, Wenzhou, China.,Zhejiang Provincial Key Laboratory of Watershed Science and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Fang Xia
- School of Life Science, Shaoxing University, Shaoxing, China
| | - Andy Hong
- The George Institute for Global Health, University of Oxford, Oxford, UK.,International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China
| | - Xiang Chen
- Department of Geography, University of Connecticut, Storrs, Connecticut, USA
| | - Chi Zhang
- Zhejiang Provincial Key Laboratory of Watershed Science and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Ge Qiu
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China
| | - Gang Chen
- Zhejiang Provincial Key Laboratory of Watershed Science and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Zhenfeng Wang
- Health Assessment Center, Wenzhou Medical University, Wenzhou, China.,Zhejiang Provincial Key Laboratory of Watershed Science and Health, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Bo Yang
- Institute of Lipids Medicine, Wenzhou Medical University, Wenzhou, China.,School of Public Health, Wenzhou Medical University, Wenzhou, China
| | - Qian Xiao
- International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.,Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Peng Jia
- Health Assessment Center, Wenzhou Medical University, Wenzhou, China.,International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.,Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China.,Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, The Netherlands
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9
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Johnson KA, Jones-Smith J, Curriero FC, Cheskin LJ, Benjamin-Neelon SE, Perin J, Caicedo MR, Thornton RLJ. Low-Income Black and Hispanic Children's Neighborhood Food Environments and Weight Trajectories in Early Childhood. Acad Pediatr 2020; 20:784-792. [PMID: 31783182 PMCID: PMC7324231 DOI: 10.1016/j.acap.2019.11.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 11/22/2019] [Accepted: 11/23/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND High obesity rates among young black and Hispanic children place them at a higher risk for adult obesity and its comorbidities. Neighborhoods with predominately racial and ethnic minority residents have fewer healthful food options, which may contribute to obesity disparities. Few studies have assessed the relationship between neighborhood food environments and obesity in this population. METHODS Electronic health records from 2 pediatric primary care clinics serving predominately low-income, black, and Hispanic children were used to create a cohort of 3724 2- to 5-year olds, encompassing 7256 visits from 2007 to 2012 (mean 1.9 visits per patient, range: 1-5 visits per child). Longitudinal regression was used to model the association of mean body mass index z-score (BMI-z) over time and 3 measures of the neighborhood food environment: healthful food availability, availability of stores accepting the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) benefits, and fast food availability. RESULTS Compared to peers in neighborhoods with no or few stores accepting WIC, children in neighborhoods with many WIC stores had higher BMI-z at age 2 years (average difference of 0.272; 95% confidence interval: 0.041-0.503; P = .021). No relationship was found for healthful food or fast food availability. Although children in neighborhoods with low fast food availability did not have statistically significantly different BMI-z at age 2 as compared to children in areas with high fast food availability, they did have a statistically significantly higher change in average BMI-z over time (0.006 per month, 0.000-0.012, P = .024). CONCLUSIONS Access to WIC stores was associated with lower obesity rates and more healthful average BMI-z over time and represents a potentially important neighborhood food environment characteristic influencing racial/ethnic disparities in childhood obesity among young black and Hispanic children. More studies are needed to assess what aspects of WIC stores may underlie the observed association.
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Affiliation(s)
- Katherine Abowd Johnson
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health (KA Johnson, SE Benjamin-Neelon, and RLJ Thornton), Baltimore, Md
| | - Jessica Jones-Smith
- University of Washington School of Public Health (J Jones-Smith), Seattle, Wash
| | - Frank C Curriero
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health (FC Curriero), Baltimore, Md
| | - Lawrence J Cheskin
- Department of Nutrition and Food Studies, George Mason University, College of Health & Human Services (LJ Cheskin), Fairfax, Va
| | - Sara E Benjamin-Neelon
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health (KA Johnson, SE Benjamin-Neelon, and RLJ Thornton), Baltimore, Md
| | - Jamie Perin
- Department of International Health, Johns Hopkins Bloomberg School of Public Health (J Perin), Baltimore, Md
| | - Mariana Rincon Caicedo
- Department of Pediatrics, Johns Hopkins School of Medicine (MR Caicedo and RLJ Thornton), Baltimore, Md
| | - Rachel L J Thornton
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health (KA Johnson, SE Benjamin-Neelon, and RLJ Thornton), Baltimore, Md; Department of Pediatrics, Johns Hopkins School of Medicine (MR Caicedo and RLJ Thornton), Baltimore, Md.
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10
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Anderson CE, Crespi CM, Wang MC, Whaley SE, Chaparro MP. The neighborhood food environment modifies the effect of the 2009 WIC food package change on childhood obesity in Los Angeles County, California. BMC Public Health 2020; 20:678. [PMID: 32404069 PMCID: PMC7222567 DOI: 10.1186/s12889-020-08779-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 04/26/2020] [Indexed: 12/03/2022] Open
Abstract
Background Food packages provided by the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) were revised in 2009 to better align them with the Dietary Guidelines for Americans. This study was conducted to evaluate whether the effect of the food package change on childhood obesity varied by the food environment in the neighborhoods where WIC-participating children live. Methods Administrative data from participating children in Los Angeles County, California (2003–2016) were merged with geocoded food vendor information by neighborhood of residence. Obesity risk at age 4 was compared between children receiving old (2003–2009) and new (2010–2016) WIC food packages using sex-stratified Poisson regression models, with interaction terms between WIC package and neighborhood density (number per square mile) of healthy and unhealthy food outlets. Results The new food package was associated with a significant decrease in obesity risk. Among boys, the new food package was associated with 8 to 18% lower obesity risk at all healthy and unhealthy food outlet densities, and the association was not modified by neighborhood food outlet density. Among girls, the association of the new food package with obesity risk was protective in neighborhoods with high healthy and low unhealthy food outlet densities, and adverse in neighborhoods with high unhealthy and low healthy food outlet densities. The effect of the new food package among girls was modified by unhealthy food outlet density, with significantly smaller (p-value = 0.004) decreases in obesity risk observed in neighborhoods with higher unhealthy food outlet density. Conclusions The impact of the food package change was modified by the neighborhood food environment among girls only. Future policy changes should incorporate consideration of ways to mitigate potentially inequitable geographic distribution of the health benefits of policy changes.
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Affiliation(s)
- Christopher E Anderson
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2000, New Orleans, LA, 70112, USA
| | - Catherine M Crespi
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles (UCLA), 650 Charles E. Young Dr. South, Box 951772, Los Angeles, CA, 90095, USA
| | - May C Wang
- Department of Community Health Sciences, Fielding School of Public Health, University of California Los Angeles (UCLA), 650 Charles E. Young Dr. South, 26-051B CHS, Los Angeles, CA, 90095, USA
| | - Shannon E Whaley
- Public Health Foundation Enterprises (PHFE) WIC, 12781 Schabarum Ave, Irwindale, CA, 91706, USA
| | - M Pia Chaparro
- Department of Global Community Health and Behavioral Sciences, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St., Suite 2200, New Orleans, LA, 70112, USA.
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11
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Chauvenet C, De Marco M, Leone LA, Haynes-Maslow L, Ammerman AS. The Role of Food Retailers in the Promotion of Healthful, Low-Cost Products to WIC Recipients. JOURNAL OF HUNGER & ENVIRONMENTAL NUTRITION 2019. [DOI: 10.1080/19320248.2019.1649225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Christina Chauvenet
- UNC Center for Health Promotion and Disease Prevention, Department #4985, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Maternal and Child Health, University of North Carolina Gillings School of Global Public Health, USA
| | - Molly De Marco
- UNC Center for Health Promotion and Disease Prevention, Department #4985, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, USA
| | - Lucia A. Leone
- Department of Community Health and Health Behavior, University at Buffalo School of Public Health and Health Professions, Buffalo, NY, USA
| | - Lindsey Haynes-Maslow
- Department of Agricultural and Human Sciences, North Carolina State University, Raleigh, NC, USA
| | - Alice S. Ammerman
- UNC Center for Health Promotion and Disease Prevention, Department #4985, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, University of North Carolina Gillings School of Global Public Health, USA
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12
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Park SH, Park CG, Bahorski JS, Cormier E. Factors influencing obesity among preschoolers: multilevel approach. Int Nurs Rev 2019; 66:346-355. [PMID: 31016729 DOI: 10.1111/inr.12513] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Childhood obesity is a complex and multifaceted problem involving interactions among child, family and community environment. AIM The purpose of this study was to examine the contributing factors to early childhood obesity within a multilevel context, including child and family, childcare setting and community. METHODS A cross-sectional, quantitative research design was employed. A total of 129 preschoolers and their parents in northwest Florida participated in this study. Child height and weight were measured, and body mass index (BMI) was calculated. Parents and directors of preschools completed survey questionnaires to assess child/family, childcare setting and community factors, respectively. Hierarchical multiple regression was used to evaluate the association of each level of factors with child BMI z-score. RESULTS Twenty-one per cent of children were overweight or obese (≥85th BMI percentile). In hierarchical multiple regression, household income, parent beliefs, attitudes and practices for child feeding, family obesogenic environment, child routines (screen time on weekends, sleep hours, bedtime) and physical activity environment were significantly related to child BMI z-score. CONCLUSIONS The findings of this study provide a broader understanding of factors that influence child BMI z-score. Shaping a non-obesogenic environment by establishing healthy routines for children in the home, childcare setting and community is essential in childhood obesity prevention. IMPLICATIONS FOR NURSING PRACTICE AND HEALTH POLICY Paediatric nurses should routinely assess accurate parental perception of child weight, feeding style and child routines in well-child care visits. Healthcare professionals and health policymakers should enact policies that build a healthy environment for preschoolers in their childcare setting and community.
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Affiliation(s)
- S H Park
- College of Nursing, Florida State University, Tallahassee, FL, USA
| | - C G Park
- College of Nursing, University of Illinois at Chicago, Chicago, IL, USA
| | - J S Bahorski
- College of Nursing, Florida State University, Tallahassee, FL, USA
| | - E Cormier
- College of Nursing, Florida State University, Tallahassee, FL, USA
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13
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Theall KP, Chaparro MP, Denstel K, Bilfield A, Drury SS. Childhood obesity and the associated roles of neighborhood and biologic stress. Prev Med Rep 2019; 14:100849. [PMID: 30956941 PMCID: PMC6434160 DOI: 10.1016/j.pmedr.2019.100849] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 03/08/2019] [Accepted: 03/14/2019] [Indexed: 01/12/2023] Open
Abstract
Exposure to violence and obesity continues to be growing epidemics, particularly among children. Our objective was to increase our understanding of the association between neighborhood violence exposure and children's weight and how biologic stress may mediate this relation. A matched, community-recruited cross-sectional study of 90 children, ages 5–16 years, from 52 neighborhoods took place in the greater New Orleans, LA area between 2012 and 2013. Children were matched on their propensity for living in a high violence neighborhood and previous exposure to Hurricane Katrina. Primary neighborhood exposure included violent crime, operationalized as crime rates within specific radii of children's home. Rates of exposure within 500, 1000 and 2000 meter radii from the child's home were calculated. Primary outcomes were body mass index (BMI) and waist circumference, and the primary mediator was telomere length (TL), a marker of cellular aging. Significant variation in obesity and TL was observed at the neighborhood level and violent crime was significantly associated with weight status, with an increase of 1.24 units in BMI for each additional violent crime in the child's neighborhood and a significant mediated or indirect effect of TL in the crime-BMI relation (0.32, 95% bootstrapped CI = 0.05, 0.81; 32% total mediated effect). Findings strengthen existing evidence linking neighborhood violence to childhood health and identify biologic stress, indexed by TL, as one mechanistic pathway by which neighborhood violence may influence childhood obesity. Neighborhood violence may be an important target for interventions focused on reducing obesity and other stress related health outcomes in children.
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Affiliation(s)
- Katherine P Theall
- Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
| | - M Pia Chaparro
- Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
| | - Kara Denstel
- Pennington Biomedical Research Center, Baton Rouge, LA, United States of America
| | - Alissa Bilfield
- Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
| | - Stacy S Drury
- Tulane University School of Medicine, New Orleans, LA, United States of America
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14
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Nobari TZ, Whaley SE, Prelip ML, Crespi CM, Wang MC. Trends in Socioeconomic Disparities in Obesity Prevalence among Low-Income Children Aged 2-4 Years in Los Angeles County, 2003-2014. Child Obes 2018; 14:248-258. [PMID: 29741920 PMCID: PMC6001382 DOI: 10.1089/chi.2017.0264] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Obesity prevalence among low-income preschool-aged children in the United States decreased between 2010 and 2014. However, this decreasing trend may be varied across socioeconomic subgroups. This study examined trends in obesity prevalence among low-income children from 2003 to 2014 by child's age and household and neighborhood socioeconomic status (SES). METHODS This study used administrative data for all children, aged 2-4 years, participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Los Angeles County (LAC) during the years 2003-2014. Obesity was defined as having a BMI ≥95th percentile of CDC's age- and sex-specific growth charts. Household income and household educational attainment were indicators of household SES. Neighborhood median household income was an indicator of neighborhood SES. RESULTS Childhood obesity prevalence increased sharply from 15.7% in 2003 to 19.1% in 2005, and remained constant until 2010, when it started decreasing. During most years, the prevalence of obesity was higher among the lowest SES groups. Despite the recent decreasing trend, the 2014 estimates were still generally higher than the 2003 levels except among some low-income children living in less-poor and more-educated households. CONCLUSIONS The decreasing trend between 2010 and 2014 among WIC-participating children in LAC is encouraging and mirrors national trends among WIC-participating children. However, continued efforts should be made to focus obesity prevention efforts on low-income children, especially those who are the most vulnerable as they have experienced significant gains in obesity since 2003.
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Affiliation(s)
- Tabashir Z. Nobari
- Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA.,Public Health Foundation Enterprises WIC Program, Irwindale, CA
| | | | - Michael L. Prelip
- Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA
| | - Catherine M. Crespi
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA
| | - May C. Wang
- Department of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA
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15
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Gorski Findling MT, Wolfson JA, Rimm EB, Bleich SN. Differences in the Neighborhood Retail Food Environment and Obesity Among US Children and Adolescents by SNAP Participation. Obesity (Silver Spring) 2018; 26:1063-1071. [PMID: 29797558 PMCID: PMC5975976 DOI: 10.1002/oby.22184] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 03/05/2018] [Accepted: 03/09/2018] [Indexed: 12/29/2022]
Abstract
OBJECTIVE The goal of this study was to understand the association between children's neighborhood food access and overweight/obesity in a national sample of US households, and whether this association differs by Supplemental Nutrition Assistance Program (SNAP) participation or household purchases. METHODS Data were obtained from the National Household Food Acquisition and Purchase Survey (2012-2013; n = 3,748 children aged 2 to 18 years). Logistic regression was used to examine associations between neighborhood retail food access (≤1 mile from home), food purchases (including sugary beverages), and overweight/obesity, stratified by SNAP status (1,720 participants, 453 eligible nonparticipants, 1,575 SNAP ineligible). Store types included supermarkets/grocery, combination grocery/other (independent drug, dollar, and general stores), convenience, fast food, and non-fast food restaurants. RESULTS Odds of childhood overweight/obesity (OR [95% CI]) were higher with greater access to combination grocery/other stores overall (1.10 [1.03-1.17]) and for children in SNAP (1.14 [1.05-1.24]). Eligible non-SNAP children had higher odds of overweight/obesity with greater access to convenience stores (1.11 [1.04-1.18]). The average child lived in a household with 6.3% of total spending at food outlets on sugary beverages (SNAP: 8.3%, eligible non-SNAP: 7.7%, SNAP ineligible: 5.5%). CONCLUSIONS Greater neighborhood access to combination grocery/other stores is associated with higher obesity prevalence for children overall and those in SNAP.
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Affiliation(s)
| | - Julia A. Wolfson
- Departments of Health Management and Policy and Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Eric B. Rimm
- Departments of Epidemiology and Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts and Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Sara N. Bleich
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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16
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Nianogo RA, Wang MC, Wang A, Nobari TZ, Crespi CM, Whaley SE, Arah OA. Projecting the impact of hypothetical early life interventions on adiposity in children living in low-income households. Pediatr Obes 2017; 12:398-405. [PMID: 27283011 PMCID: PMC5290222 DOI: 10.1111/ijpo.12157] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Revised: 03/10/2016] [Accepted: 05/02/2016] [Indexed: 11/25/2022]
Abstract
It is difficult to evaluate the effectiveness of interventions aimed at reducing early childhood obesity using randomized trials. Objective To illustrate how observational data can be analysed using causal inference methods to estimate the potential impact of behavioural 'interventions' on early childhood adiposity. Methods We used longitudinal data from 1054 children 1-5 years old enrolled in the Special Supplemental Nutrition Program for Women, Infants and Children and followed (WIC) from 2008 to 2010 for a mean duration of 23 months. The data came from a random sample of WIC families living in Los Angeles County in 2008. We used the parametric g-formula to estimate the impact of various hypothetical behavioural interventions. Results Adjusted mean weight-for-height Z score at the end of follow-up was 0.73 (95% CI 0.65, 0.81) under no intervention and 0.63 (95% CI 0.38, 0.87) for all interventions given jointly. Exclusive breastfeeding for 6 months or longer was the most effective intervention [population mean difference = -0.11 (95% CI -0.22, 0.01)]. Other interventions had little or no effect. Conclusions Compared with interventions promoting healthy eating and physical activity behaviours, breastfeeding was more effective in reducing obesity risk in children aged 1-5 years. When carefully applied, causal inference methods may offer viable alternatives to randomized trials in etiologic and evaluation research.
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Affiliation(s)
- Roch A Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), 650 Charles E Young Dr S, Los Angeles, CA 90095,California Center for Population Research, UCLA, Los Angeles, California, USA,Corresponding Author: Roch A. Nianogo, Department of Epidemiology, UCLA Fielding School of Public Health, 650 Charles E. Young Drive South, Los Angeles, CA 90095-1772 (; ). Office phone: 310 206 0050; Fax: 310 206 6039
| | - May C Wang
- California Center for Population Research, UCLA, Los Angeles, California, USA,Department of Community Health Sciences, School of Public Health, University of California, Los Angeles, Los Angeles, CA
| | - Aolin Wang
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), 650 Charles E Young Dr S, Los Angeles, CA 90095,California Center for Population Research, UCLA, Los Angeles, California, USA
| | - Tabashir Z Nobari
- California Center for Population Research, UCLA, Los Angeles, California, USA,Department of Community Health Sciences, School of Public Health, University of California, Los Angeles, Los Angeles, CA,Research and Evaluation Unit, Public Health Foundation Enterprises- Special Supplemental Nutrition Program for Women, Infants and Children (PHFE WIC), 12781 Schabarum Ave., Irwindale, CA 91706
| | - Catherine M Crespi
- Department of Biostatistics, UCLA School of Public Health, Box 951772, Los Angeles, CA 951772
| | - Shannon E Whaley
- Research and Evaluation Unit, Public Health Foundation Enterprises- Special Supplemental Nutrition Program for Women, Infants and Children (PHFE WIC), 12781 Schabarum Ave., Irwindale, CA 91706
| | - Onyebuchi A Arah
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), 650 Charles E Young Dr S, Los Angeles, CA 90095,California Center for Population Research, UCLA, Los Angeles, California, USA,UCLA Center for Health Policy Research, Los Angeles, California, USA
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17
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Gombi-Vaca MF, Horta PM, Hassan BK, Rocha TFD, Skov LR, Verly E. Perception of food consumed at home and dietary intake: A nationwide study from Brazil. Appetite 2017; 116:487-492. [PMID: 28549760 DOI: 10.1016/j.appet.2017.05.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 05/05/2017] [Accepted: 05/19/2017] [Indexed: 12/18/2022]
Abstract
Perception of food consumed is a key factor in acknowledging the need for behavioral change to improve diet quality. We analyzed family dietary intake according to the head of household's perception of satisfaction with food consumed by the family. Households (n = 13,351) that participated in the Brazilian Household Budget Survey and the National Dietary Survey were classified as satisfied or dissatisfied with the food consumed in the home. We compared the family dietary intake of the two groups considering their socio-demographic characteristics. Satisfied families (n = 4429) reported statistically higher intake (in grams/1000 kcal) of vegetables (47.3 vs 33.7), fruits (46.9 vs 21.4), sugar-sweetened beverages (118 vs 71.7), milk and dairy (57.9 vs 34.6), and ultra-processed products (18.6 vs 9.8); and lower intake of rice (86.2 vs 112), beans (91.7 vs 136), and meat (76.5 vs 84.0) when compared to dissatisfied families (n = 1717). Among satisfied families, in the youngest group we found lower consumption of fruits and higher intake of sugar-sweetened beverages and ultra-processed products when compared to the oldest group. Also among satisfied families, those in the highest per capita income group presented higher intake of fruits and lower intake of beans than those in the lowest income group. Satisfied families in the highest income group also consumed more fruits and less beans than dissatisfied families in the same income group. Socio-demographic characteristics may influence perception of satisfaction with food consumed and potentially influence the success of public health efforts to offer nutrition guidance for families satisfied with diets that may or may not be comprised of healthy food and beverages.
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Affiliation(s)
- Maria Fernanda Gombi-Vaca
- Department of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rua São Francisco Xavier, 524, 7° Andar, Bloco E, 20550-900, Rio de Janeiro, RJ, Brazil.
| | - Paula Martins Horta
- Department of Nutrition, Federal University of Minas Gerais, Av. Alfredo Balena, 190, 30130-100, Belo Horizonte, MG, Brazil
| | - Bruna Kulik Hassan
- Department of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rua São Francisco Xavier, 524, 7° Andar, Bloco E, 20550-900, Rio de Janeiro, RJ, Brazil
| | - Thalita Fialho da Rocha
- Institute of Nutrition, Rio de Janeiro State University, Rua São Francisco Xavier, 524, 12° Andar, Bloco D, 20559-900, Rio de Janeiro, RJ, Brazil
| | - Laurits Rohden Skov
- Department of Development and Planning, Aalborg University, Vestre Havnepromenade 5, 9000, Aalborg, Denmark
| | - Eliseu Verly
- Department of Epidemiology, Institute of Social Medicine, Rio de Janeiro State University, Rua São Francisco Xavier, 524, 7° Andar, Bloco E, 20550-900, Rio de Janeiro, RJ, Brazil
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18
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Lebel A, Daepp MIG, Block JP, Walker R, Lalonde B, Kestens Y, Subramanian SV. Quantifying the foodscape: A systematic review and meta-analysis of the validity of commercially available business data. PLoS One 2017; 12:e0174417. [PMID: 28358819 PMCID: PMC5373546 DOI: 10.1371/journal.pone.0174417] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 03/08/2017] [Indexed: 10/26/2022] Open
Abstract
This paper reviews studies of the validity of commercially available business (CAB) data on food establishments ("the foodscape"), offering a meta-analysis of characteristics associated with CAB quality and a case study evaluating the performance of commonly-used validity indicators describing the foodscape. Existing validation studies report a broad range in CAB data quality, although most studies conclude that CAB quality is "moderate" to "substantial". We conclude that current studies may underestimate the quality of CAB data. We recommend that future validation studies use density-adjusted and exposure measures to offer a more meaningful characterization of the relationship of data error with spatial exposure.
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Affiliation(s)
- Alexandre Lebel
- Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Centre, Quebec City (QC), Canada
- Graduate School of Urban Planning and Land Management, Laval University, Quebec City (QC), Canada
| | - Madeleine I. G. Daepp
- Department of Urban Studies & Planning, Massachusetts Institute of Technology, Cambridge (MA), United States of America
| | - Jason P. Block
- Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston (MA), United States of America
| | - Renée Walker
- Zilber School of Public Health, University of Wisconsin, Milwaukee (WI), United States of America
| | - Benoît Lalonde
- Evaluation Platform on Obesity Prevention, Quebec Heart and Lung Institute Research Centre, Quebec City (QC), Canada
| | - Yan Kestens
- Social and Preventive Medicine Department, Université de Montréal, Montréal (QC), Canada
- Research Centre of Centre hospitalier de l’Université de Montréal, Montréal (QC), Canada
| | - S. V. Subramanian
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston (MA), United States of America
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Salvy SJ, Miles JNV, Shih RA, Tucker JS, D’Amico EJ. Neighborhood, Family and Peer-Level Predictors of Obesity-Related Health Behaviors Among Young Adolescents. J Pediatr Psychol 2017; 42:153-161. [PMID: 27246867 PMCID: PMC6075537 DOI: 10.1093/jpepsy/jsw035] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 03/28/2016] [Accepted: 04/02/2016] [Indexed: 01/20/2023] Open
Abstract
Objective This longitudinal study examines peer social functioning (PSF), familism, and neighborhood socioeconomic status (NSES) on adolescents' obesity risk. Methods Participants ( N = 2,144) were originally sampled from 16 middle schools in Southern California (45% male; 45% Hispanic) as part of an alcohol and other drug use prevention program (CHOICE). Multilevel regression modeling tested main effects and interaction terms of PSF, familism, and NSES assessed at Wave 5 ( M age = 14.15) on body mass index and risk of obesity-related behaviors at Wave 6. Results Higher PSF predicted healthier eating habits, less screen time, and more physical activity. Higher familism also predicted more physical activity. The positive effect of PSF on healthy eating was stronger among youth who reported higher familism. PSF also moderated the associations of NSES with healthy eating and physical activity. Conclusion Findings emphasize the importance of targeting both peer and family factors, which may be more amenable to change than NSES.
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20
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Lytle LA, Sokol RL. Measures of the food environment: A systematic review of the field, 2007-2015. Health Place 2017; 44:18-34. [PMID: 28135633 DOI: 10.1016/j.healthplace.2016.12.007] [Citation(s) in RCA: 162] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 11/21/2016] [Accepted: 12/02/2016] [Indexed: 12/24/2022]
Abstract
BACKGROUND Many studies have examined the relationship between the food environment and health-related outcomes, but fewer consider the integrity of measures used to assess the food environment. The present review builds on and makes comparisons with a previous review examining food environment measures and expands the previous review to include a more in depth examination of reliability and validity of measures and study designs employed. METHODS We conducted a systematic review of studies measuring the food environment published between 2007 and 2015. We identified these articles through: PubMed, Embase, Web of Science, PsycINFO, and Global Health databases; tables of contents of relevant journals; and the National Cancer Institute's Measures of the Food Environment website. This search yielded 11,928 citations. We retained and abstracted data from 432 studies. RESULTS The most common methodology used to study the food environment was geographic analysis (65% of articles) and the domination of this methodology has persisted since the last review. Only 25.9% of studies in this review reported the reliability of measures and 28.2% reported validity, but this was an improvement as compared to the earlier review. Very few of the studies reported construct validity. Studies reporting measures of the school or worksite environment have decreased since the previous review. Only 13.9% of the studies used a longitudinal design. CONCLUSIONS To strengthen research examining the relationship between the food environment and population health, there is a need for robust and psychometrically-sound measures and more sophisticated study designs.
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Affiliation(s)
- Leslie A Lytle
- Department of Health Behavior, Campus Box 7440, UNC Gillings School of Global Public Health, Chapel Hill, NC 27599-7440, United States.
| | - Rebeccah L Sokol
- Department of Health Behavior, Campus Box 7440, UNC Gillings School of Global Public Health, Chapel Hill, NC 27599-7440, United States
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21
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Chen HJ, Wang Y. Changes in the Neighborhood Food Store Environment and Children's Body Mass Index at Peripuberty in the United States. J Adolesc Health 2016; 58:111-8. [PMID: 26707233 PMCID: PMC4693631 DOI: 10.1016/j.jadohealth.2015.09.012] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2015] [Revised: 09/16/2015] [Accepted: 09/16/2015] [Indexed: 11/19/2022]
Abstract
PURPOSE Little is known about the relationship between changes in food store environment and children's obesity risk in the United States. This study examines children's weight status associated with the changes in the quantity of food stores in their neighborhoods. METHODS A nationally representative cohort of schoolchildren in the United States was followed from fifth grade in 2004 to eighth grade in 2007 (n = 7,090). In 2004 and 2007, children's body mass index (BMI) was directly measured in schools. ZIP Code Business Patterns data from the Census Bureau in 2004 and 2007 characterized the numbers of food stores in every ZIP code area by type of store: supermarkets, limited-service restaurants, small-size grocery, and convenience stores. Baseline and change in the numbers of stores were the major exposures of interest. RESULTS Girls living in neighborhoods with three or more supermarkets had a lower BMI 3 years later (by -.62 kg/m(2); 95% confidence interval = -1.05 to -.18) than did those living in neighborhoods without any supermarkets. Girls living in neighborhoods with many limited-service restaurants had a greater BMI 3 years later (by 1.02 kg/m(2); 95% confidence interval = .36-1.68) than did those living in neighborhoods with less than or equal to one limited-service restaurant. Exposure to a decreased quantity of small-size grocery stores in neighborhoods was associated with girls' lower BMI by eighth grade. CONCLUSIONS The longitudinal association between neighborhood food environment and children's BMI differed by gender. For girls, supermarkets in neighborhoods seemed protective against obesity, whereas small-size grocery stores and limited-service restaurants in neighborhoods increased obesity risk. There was no significant longitudinal finding for boys.
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Affiliation(s)
- Hsin-Jen Chen
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan; Global Obesity Prevention Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
| | - Youfa Wang
- Global Obesity Prevention Center, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Systems-oriented Global Childhood Obesity Intervention Program, Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo, New York.
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22
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Liu JL, Han B, Cohen DA. Beyond Neighborhood Food Environments: Distance Traveled to Food Establishments in 5 US Cities, 2009-2011. Prev Chronic Dis 2015; 12:E126. [PMID: 26247426 PMCID: PMC4552139 DOI: 10.5888/pcd12.150065] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction Accurate conceptualizations of neighborhood environments are important in the design of policies and programs aiming to improve access to healthy food. Neighborhood environments are often defined by administrative units or buffers around points of interest. An individual may eat and shop for food within or outside these areas, which may not reflect accessibility of food establishments. This article examines the relevance of different definitions of food environments. Methods We collected data on trips to food establishments using a 1-week food and travel diary and global positioning system devices. Spatial-temporal clustering methods were applied to identify homes and food establishments visited by study participants. Results We identified 513 visits to food establishments (sit-down restaurants, fast-food/convenience stores, malls or stores, groceries/supermarkets) by 135 participants in 5 US cities. The average distance between the food establishments and homes was 2.6 miles (standard deviation, 3.7 miles). Only 34% of the visited food establishments were within participants’ neighborhood census tract. Buffers of 1 or 2 miles around the home covered 55% to 65% of visited food establishments. There was a significant difference in the mean distances to food establishments types (P = .008). On average, participants traveled the longest distances to restaurants and the shortest distances to groceries/supermarkets. Conclusion Many definitions of the neighborhood food environment are misaligned with individual travel patterns, which may help explain the mixed findings in studies of neighborhood food environments. Neighborhood environments defined by actual travel activity may provide more insight on how the food environment influences dietary and food shopping choices.
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Affiliation(s)
- Jodi L Liu
- Pardee RAND Graduate School, RAND Corporation, 1776 Main St, Santa Monica, CA 90401-3208.
| | - Bing Han
- RAND Corporation, Santa Monica, California
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