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Hobbs M, McLeod GFH, Mackenbach JD, Marek L, Wiki J, Deng B, Eggleton P, Boden JM, Bhubaneswor D, Campbell M, Horwood LJ. Change in the food environment and measured adiposity in adulthood in the Christchurch Health and development birth cohort, Aotearoa, New Zealand: A birth cohort study. Health Place 2023; 83:103078. [PMID: 37517383 DOI: 10.1016/j.healthplace.2023.103078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 06/11/2023] [Accepted: 06/21/2023] [Indexed: 08/01/2023]
Abstract
This study investigated associations between change in the food environment and change in measured body mass index (BMI) and waist circumference (WC) in the Christchurch Health and Development Study (CHDS) birth cohort. Our findings suggest that cohort members who experienced the greatest proportional change towards better access to fast food outlets had the slightly larger increases in BMI and WC. Contrastingly, cohort members who experienced the greatest proportional change towards shorter distance and better access to supermarkets had slightly smaller increases in BMI and WC. Our findings may help explain the changes in BMI and WC at a population level.
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Affiliation(s)
- Matthew Hobbs
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; The Cluster for Community and Urban Resilience (CURe), University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand.
| | - Geraldine F H McLeod
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam UMC Location Vrije University, Amsterdam, the Netherlands; Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Amsterdam, the Netherlands
| | - Lukas Marek
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Jesse Wiki
- Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; School of Population Health, Faculty of Medical and Health Sciences, The University of Auckland - Waipapa Taumata Rau, Auckland, New Zealand
| | - Bingyu Deng
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Phoebe Eggleton
- Faculty of Health, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - Joseph M Boden
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Dhakal Bhubaneswor
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
| | - Malcolm Campbell
- Te Taiwhenua o Te Hauora - GeoHealth Laboratory, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand; School of Earth and Environment, University of Canterbury - Te Whare Wānanga o Waitaha, Christchurch, Canterbury, New Zealand
| | - L John Horwood
- Christchurch Health and Development Study, University of Otago - Te Whare Wānanga o Ōtākou, Christchurch, Canterbury, New Zealand
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Hall PA, Best JR, Beaton EA, Sakib MN, Danckert J. Morphology of the prefrontal cortex predicts body composition in early adolescence: cognitive mediators and environmental moderators in the ABCD Study. Soc Cogn Affect Neurosci 2023; 18:6362473. [PMID: 34471927 DOI: 10.1093/scan/nsab104] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/26/2021] [Accepted: 09/01/2021] [Indexed: 11/14/2022] Open
Abstract
Morphological features of the lateral prefrontal cortex (PFC) in late childhood and early adolescence may provide important clues as to the developmental etiology of clinical conditions such as obesity. Body composition measurements and structural brain imaging were performed on 11 226 youth at baseline (age 9 or 10 years) and follow-up (age 11 or 12 years). Baseline morphological features of the lateral PFC were examined as predictors of body composition. Findings revealed reliable associations between middle frontal gyrus volume, thickness and surface area and multiple indices of body composition. These findings were consistent across both time points and remained significant after covariate adjustment. Cortical thicknesses of the inferior frontal gyrus and lateral orbitofrontal cortex were also reliable predictors. Morphology effects on body composition were mediated by performance on a non-verbal reasoning task. Modest but reliable moderation effects were observed with respect to environmental self-regulatory demand after controlling for sex, race/ethnicity, income and methodological variables. Overall findings suggest that PFC morphology is a reliable predictor of body composition in early adolescence, as mediated through select cognitive functions and partially moderated by environmental characteristics.
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Affiliation(s)
- Peter A Hall
- School of Public Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - John R Best
- Gerontology Research Centre, Simon Fraser University, Burnaby, BC V6B 5K3, Canada
| | - Elliott A Beaton
- Department of Psychology, University of New Orleans, New Orleans, LA 70148, USA
| | - Mohammad N Sakib
- School of Public Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - James Danckert
- Department of Psychology, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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Buszkiewicz JH, Rose CM, Ko LK, Mou J, Moudon AV, Hurvitz PM, Cook AJ, Drewnowski A. Associations between neighborhood built environment, residential property values, and adult BMI change: The Seattle Obesity Study III. SSM Popul Health 2022; 19:101158. [PMID: 35813186 PMCID: PMC9260622 DOI: 10.1016/j.ssmph.2022.101158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 11/25/2022] Open
Abstract
Objective To examine associations between neighborhood built environment (BE) variables, residential property values, and longitudinal 1- and 2-year changes in body mass index (BMI). Methods The Seattle Obesity Study III was a prospective cohort study of adults with geocoded residential addresses, conducted in King, Pierce, and Yakima Counties in Washington State. Measured heights and weights were obtained at baseline (n = 879), year 1 (n = 727), and year 2 (n = 679). Tax parcel residential property values served as proxies for individual socioeconomic status. Residential unit and road intersection density were captured using Euclidean-based SmartMaps at 800 m buffers. Counts of supermarket (0 versus. 1+) and fast-food restaurant availability (0, 1–3, 4+) were measured using network based SmartMaps at 1600 m buffers. Density measures and residential property values were categorized into tertiles. Linear mixed-effects models tested whether baseline BE variables and property values were associated with differential changes in BMI at year 1 or year 2, adjusting for age, gender, race/ethnicity, education, home ownership, and county of residence. These associations were then tested for potential disparities by age group, gender, race/ethnicity, and education. Results Road intersection density, access to food sources, and residential property values were inversely associated with BMI at baseline. At year 1, participants in the 3rd tertile of density metrics and with 4+ fast-food restaurants nearby showed less BMI gain compared to those in the 1st tertile or with 0 restaurants. At year 2, higher residential property values were predictive of lower BMI gain. There was evidence of differential associations by age group, gender, and education but not race/ethnicity. Conclusion Inverse associations between BE metrics and residential property values at baseline demonstrated mixed associations with 1- and 2-year BMI change. More work is needed to understand how individual-level sociodemographic factors moderate associations between the BE, property values, and BMI change. Strong, inverse cross-sectional relationships between the built environment, residential property values (a proxy for individual socioeconomic status), and measured BMI were observed. Measures of the built environment and residential property values showed modest and inconsistent associations with 1- and 2-year BMI change. There was suggestive evidence that age may moderate the association between urban density and 1- and 2-year BMI change while education may moderate the association between residential property values and 2-year BMI change.
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Verduci E, Di Profio E, Fiore G, Zuccotti G. Integrated Approaches to Combatting Childhood Obesity. Ann Nutr Metab 2022; 78 Suppl 2:8-19. [PMID: 35679843 DOI: 10.1159/000524962] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 05/08/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND The global prevalence of childhood obesity has grown sharply in recent decades. Obesity is considered a public health problem which directly affects the health status of children in numerous ways. To combat this trend, integrated approaches are necessary to prevent childhood obesity. Strategies require a comprehensive perspective at individual and parental level alongside the adoption of measures to engage the community and environment. SUMMARY Prevention is addressed as crucial in limiting the pediatric obesity epidemic in the long term. Breastfeeding and appropriate complementary feeding are recognized as early dietary factors that affect the future risk of obesity development during the first 2 years of life. During childhood and adolescence, dietary patterns, eating habits, portion size, eating frequencies, and family meals are important dietary factors to target for preventive strategies, as well as parenting style which is influenced by parents' education. Physical activity promotion and the reduction of sedentary behavior are also recommended. The adherence of children and families to obesity prevention programs is highly dependent on socioeconomic factors. Moreover, setting food quality standards and public policies to promote healthy lifestyle habits is strongly advocated. The implementation of cost-effective preventive strategies is of high priority and requires an integrated approach by healthcare services. All stakeholders involved should take an active role in supporting and empowering children and families in order to cope with this multifactorial and complex disease.
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Affiliation(s)
- Elvira Verduci
- Department of Health Sciences, University of Milan, Milan, Italy.,Department of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy
| | - Elisabetta Di Profio
- Department of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.,Department of Animal Sciences for Health, Animal Production and Food Safety, University of Milan, Milan, Italy
| | - Giulia Fiore
- Department of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.,Department of Animal Sciences for Health, Animal Production and Food Safety, University of Milan, Milan, Italy
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, Milan, Italy.,Department of Biomedical and Clinical Sciences "L. Sacco," University of Milan, Milan, Italy.,Pediatric Clinical Research Center Fondazione Romeo ed Enrica Invernizzi, University of Milan, Milan, Italy
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de Albuquerque FM, Pessoa MC, De Santis Filgueiras M, Gardone DS, de Novaes JF. Retail food outlets and metabolic syndrome: a systematic review of longitudinal studies. Nutr Rev 2022; 80:1599-1618. [PMID: 35182145 DOI: 10.1093/nutrit/nuab111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
CONTEXT The community food environment covers the type, quantity, density, location, and access to retail food outlets, and its influence on eating behavior, obesity, and metabolic syndrome has been investigated. OBJECTIVE To evaluate the evidence on longitudinal associations between objectively measured retail food outlets and metabolic syndrome components in children, adolescents, and adults. DATA EXTRACTION This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality and risk of bias were assessed with the Newcastle-Ottawa Scale. DATA SOURCES The Scopus, Embase, Web of Science, Scielo, PubMed, MEDLINE, and Lilacs databases were searched without any restriction on publication dates. DATA ANALYSIS Of the 18 longitudinal studies included, significant associations were reported in 9 between retail food outlets and metabolic syndrome components in adults (6 positive associations, 2 negative, and 1 both positive and negative), and in 3 studies of children and adolescents (2 negative associations and 1 both positive and negative). Six studies with adults found no association. CONCLUSION Limited evidence was found for longitudinal associations between retail food outlets and metabolic syndrome components. In future studies, researchers should consider the use of standardized retail food outlet measurements and accurate analysis to better understand the influence of the community food environment on metabolic syndrome. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no: CRD42020177137.
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Affiliation(s)
| | - Milene Cristine Pessoa
- Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | - Danielle Soares Gardone
- Department of Nutrition, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Juliana Farias de Novaes
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
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Green MA, Hobbs M, Ding D, Widener M, Murray J, Reece L, Singleton A. The Association between Fast Food Outlets and Overweight in Adolescents Is Confounded by Neighbourhood Deprivation: A Longitudinal Analysis of the Millennium Cohort Study. Int J Environ Res Public Health 2021; 18:ijerph182413212. [PMID: 34948820 PMCID: PMC8703340 DOI: 10.3390/ijerph182413212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/02/2021] [Accepted: 12/09/2021] [Indexed: 11/28/2022]
Abstract
The aim of our study is to utilise longitudinal data to explore if the association between the retail fast food environment and overweight in adolescents is confounded by neighbourhood deprivation. Data from the Millennium Cohort Study for England were obtained for waves 5 (ages 11/12; 2011/12; n = 13,469) and 6 (ages 14/15; 2014/15; n = 11,884). Our outcome variable was overweight/obesity defined using age and sex-specific International Obesity Task Force cut points. Individuals were linked, based on their residential location, to data on the density of fast food outlets and neighbourhood deprivation. Structural Equation Models were used to model associations and test for observed confounding. A small positive association was initially detected between fast food outlets and overweight (e.g., at age 11/12, Odds Ratio (OR) = 1.0006, 95% Confidence Intervals (CI) = 1.0002–1.0009). Following adjusting for the confounding role of neighbourhood deprivation, this association was non-significant. Individuals who resided in the most deprived neighbourhoods had higher odds of overweight than individuals in the least deprived neighbourhoods (e.g., at age 11/12 OR = 1.95, 95% CIs = 1.64–2.32). Neighbourhood deprivation was also positively associated to the density of fast food outlets (at age 11/12 Incidence Rate Ratio = 3.03, 95% CIs = 2.80–3.28).
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Affiliation(s)
- Mark A. Green
- Geographic Data Science Lab, Department of Geography & Planning, University of Liverpool, Liverpool L69 7ZT, UK; (J.M.); (A.S.)
- Correspondence:
| | - Matthew Hobbs
- GeoHealth Laboratory, University of Canterbury, Christchurch 8140, New Zealand;
- School of Health Sciences, University of Canterbury, Christchurch 8140, New Zealand
| | - Ding Ding
- School of Public Health, University of Sydney, Sydney 2006, Australia; (D.D.); (L.R.)
| | - Michael Widener
- Department of Geography & Planning, University of Toronto, Toronto, ON M5S 3G3, Canada;
| | - John Murray
- Geographic Data Science Lab, Department of Geography & Planning, University of Liverpool, Liverpool L69 7ZT, UK; (J.M.); (A.S.)
| | - Lindsey Reece
- School of Public Health, University of Sydney, Sydney 2006, Australia; (D.D.); (L.R.)
| | - Alex Singleton
- Geographic Data Science Lab, Department of Geography & Planning, University of Liverpool, Liverpool L69 7ZT, UK; (J.M.); (A.S.)
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7
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Buszkiewicz JH, Bobb JF, Kapos F, Hurvitz PM, Arterburn D, Moudon AV, Cook A, Mooney SJ, Cruz M, Gupta S, Lozano P, Rosenberg DE, Theis MK, Anau J, Drewnowski A. Differential associations of the built environment on weight gain by sex and race/ethnicity but not age. Int J Obes (Lond) 2021; 45:2648-2656. [PMID: 34453098 PMCID: PMC8608695 DOI: 10.1038/s41366-021-00937-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 07/19/2021] [Accepted: 08/04/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To explore the built environment (BE) and weight change relationship by age, sex, and racial/ethnic subgroups in adults. METHODS Weight trajectories were estimated using electronic health records for 115,260 insured Kaiser Permanente Washington members age 18-64 years. Member home addresses were geocoded using ArcGIS. Population, residential, and road intersection densities and counts of area supermarkets and fast food restaurants were measured with SmartMaps (800 and 5000-meter buffers) and categorized into tertiles. Linear mixed-effect models tested whether associations between BE features and weight gain at 1, 3, and 5 years differed by age, sex, and race/ethnicity, adjusting for demographics, baseline weight, and residential property values. RESULTS Denser urban form and greater availability of supermarkets and fast food restaurants were associated with differential weight change across sex and race/ethnicity. At 5 years, the mean difference in weight change comparing the 3rd versus 1st tertile of residential density was significantly different between males (-0.49 kg, 95% CI: -0.68, -0.30) and females (-0.17 kg, 95% CI: -0.33, -0.01) (P-value for interaction = 0.011). Across race/ethnicity, the mean difference in weight change at 5 years for residential density was significantly different among non-Hispanic (NH) Whites (-0.47 kg, 95% CI: -0.61, -0.32), NH Blacks (-0.86 kg, 95% CI: -1.37, -0.36), Hispanics (0.10 kg, 95% CI: -0.46, 0.65), and NH Asians (0.44 kg, 95% CI: 0.10, 0.78) (P-value for interaction <0.001). These findings were consistent for other BE measures. CONCLUSION The relationship between the built environment and weight change differs across demographic groups. Careful consideration of demographic differences in associations of BE and weight trajectories is warranted for investigating etiological mechanisms and guiding intervention development.
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Affiliation(s)
- James H Buszkiewicz
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA.
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
| | - Jennifer F Bobb
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Flavia Kapos
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Philip M Hurvitz
- Urban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, WA, USA
- Center for Studies in Demography and Ecology, University of Washington, Raitt Hall, Seattle, WA, USA
| | - David Arterburn
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Anne Vernez Moudon
- Urban Form Lab, Department of Urban Design and Planning, College of Built Environments, University of Washington, Seattle, WA, USA
| | - Andrea Cook
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Stephen J Mooney
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Maricela Cruz
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Shilpi Gupta
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Paula Lozano
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Dori E Rosenberg
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Mary Kay Theis
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jane Anau
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Adam Drewnowski
- Center for Public Health Nutrition, 305 Raitt Hall, #353410, University of Washington, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
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Poelman MP, Nicolaou M, Dijkstra SC, Mackenbach JD, Lu M, Karssenberg D, Snijder MB, Vaartjes I, Stronks K. Does the neighbourhood food environment contribute to ethnic differences in diet quality? Results from the HELIUS study in Amsterdam, the Netherlands. Public Health Nutr 2021; 24:5101-5112. [PMID: 33947481 PMCID: PMC11082797 DOI: 10.1017/s1368980021001919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 04/22/2021] [Accepted: 04/29/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The aim of the current study was to establish whether the neighbourhood food environment, characterised by the healthiness of food outlets, the diversity of food outlets and fast-food outlet density within a 500 m or 1000 m street network buffer around the home address, contributed to ethnic differences in diet quality. DESIGN Cross-sectional cohort study. SETTING Amsterdam, the Netherlands. PARTICIPANTS Data on adult participants of Dutch, South-Asian Surinamese, African Surinamese, Turkish and Moroccan descent (n total 4728) in the HELIUS study were analysed. RESULTS The neighbourhood food environment of ethnic minority groups living in Amsterdam is less supportive of a healthy diet and of less diversity than that of participants of Dutch origin. For example, participants of Turkish, Moroccan and South-Asian Surinamese descent reside in a neighbourhood with a significantly higher fast-food outlet density (≤1000 m) than participants of Dutch descent. However, we found no evidence that neighbourhood food environment characteristics directly contributed to ethnic differences in diet quality. CONCLUSION Although ethnic minority groups lived in less healthy food environments than participants of ethnic Dutch origin, this did not contribute to ethnic differences in diet quality. Future research should investigate other direct or indirect consequences of residing in less supportive food environments and gain a better understanding of how different ethnic groups make use of their neighbourhood food environment.
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Affiliation(s)
- Maartje P Poelman
- Chair Group Consumption and Healthy Lifestyles, Wageningen University & Research, PO Box 8130, Wageningen, The Netherlands
| | - Mary Nicolaou
- Department of Public Health, University of Amsterdam, Amsterdam Public Health Research Institute, Meibergdreef, Amsterdam, The Netherlands
| | - S Coosje Dijkstra
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, De Boelelaan, Amsterdam, The Netherlands
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Upstream Team, Amsterdam UMC, The Netherlands
| | - Meng Lu
- Department of Physical Geography, Utrecht University, The Netherlands
| | - Derek Karssenberg
- Department of Physical Geography, Utrecht University, The Netherlands
| | - Marieke B Snijder
- Department of Public Health, University of Amsterdam, Amsterdam Public Health Research Institute, Meibergdreef, Amsterdam, The Netherlands
| | - Ilonca Vaartjes
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands
| | - Karien Stronks
- Department of Public Health, University of Amsterdam, Amsterdam Public Health Research Institute, Meibergdreef, Amsterdam, The Netherlands
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Harbers MC, Beulens JWJ, Boer JM, Karssenberg D, Mackenbach JD, Rutters F, Vaartjes I, Verschuren WMM, van der Schouw YT. Residential exposure to fast-food restaurants and its association with diet quality, overweight and obesity in the Netherlands: a cross-sectional analysis in the EPIC-NL cohort. Nutr J 2021; 20:56. [PMID: 34134701 PMCID: PMC8210363 DOI: 10.1186/s12937-021-00713-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 06/07/2021] [Indexed: 12/31/2022] Open
Abstract
Background Unhealthy food environments may contribute to unhealthy diets and risk of overweight and obesity through increased consumption of fast-food. Therefore, we aimed to study the association of relative exposure to fast-food restaurants (FFR) with overall diet quality and risk of overweight and obesity in a sample of older adults. Methods We analyzed cross-sectional data of the EPIC-NL cohort (n = 8,231). Data on relative FFR exposure was obtained through linkage of home address in 2015 with a retail outlet database. We calculated relative exposure to FFR by dividing the densities of FFR in street-network buffers of 400, 1000, and 1500 m around the home of residence by the density of all food retailers in the corresponding buffer. We calculated scores on the Dutch Healthy Diet 2015 (DHD15) index using data from a validated food-frequency questionnaire. BMI was categorized into normal weight (BMI < 25), overweight (25 ≤ BMI < 30), and obesity (BMI ≥ 30). We used multivariable linear regression (DHD15-index) and multinomial logistic regression (weight status), using quartiles of relative FFR exposure as independent variable, adjusting for lifestyle and environmental characteristics. Results Relative FFR exposure was not significantly associated with DHD15-index scores in the 400, 1000, and 1500 m buffers (βQ4vsQ1= -0.21 [95 %CI: -1.12; 0.70]; βQ4vsQ1= -0.12 [95 %CI: -1.10; 0.87]; βQ4vsQ1 = 0.37 [95 %CI: -0.67; 1.42], respectively). Relative FFR exposure was also not related to overweight in consecutive buffers (ORQ4vsQ1=1.10 [95 %CI: 0.97; 1.25]; ORQ4vsQ1=0.97 [95 %CI: 0.84; 1.11]; ORQ4vsQ1= 1.04 [95 %CI: 0.90–1.20]); estimates for obesity were similar to those of overweight. Conclusions A high proportion of FFR around the home of residence was not associated with diet quality or overweight and obesity in this large Dutch cohort of older adults. We conclude that although the food environment may be a determinant of food choice, this may not directly translate into effects on diet quality and weight status. Methodological improvements are warranted to provide more conclusive evidence. Supplementary Information The online version contains supplementary material available at 10.1186/s12937-021-00713-5.
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Affiliation(s)
- Marjolein C Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Joline W J Beulens
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Jolanda Ma Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Derek Karssenberg
- Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, the Netherlands
| | - Joreintje D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Amsterdam, the Netherlands
| | - Femke Rutters
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Ilonca Vaartjes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
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Verduci E, Bronsky J, Embleton N, Gerasimidis K, Indrio F, Köglmeier J, de Koning B, Lapillonne A, Moltu SJ, Norsa L, Domellöf M; ESPGHAN Committee on Nutrition. Role of Dietary Factors, Food Habits, and Lifestyle in Childhood Obesity Development: A Position Paper From the European Society for Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition. J Pediatr Gastroenterol Nutr 2021; 72:769-83. [PMID: 33720094 DOI: 10.1097/MPG.0000000000003075] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
ABSTRACT Childhood obesity has high societal and economic impact but current treatment approaches are sub-optimal. In the last decade, important studies have been conducted aiming to identify strategies to prevent obesity during critical periods of life. Updated recommendations for childhood obesity prevention are needed. We present data from systematic reviews and meta- analysis, randomised controlled trials (RCTs) and large observational studies, published from 2011 onwards that consider the possible role of the following factors in obesity development: breast-feeding; macronutrient composition and method of complementary feeding; parenting style; dietary patterns; sugar-sweetened beverage consumption; eating behaviour (eg, skipping breakfast, family dinners. etc); meal frequency and composition (fast foods, snacking), portion size; dietary modulators of gut microbiota (including pre-, pro-, and synbiotics); physical activity and sedentary behaviour. We used the Medline database and the Cochrane Library to search for relevant publications. Important research gaps were also identified. This position paper provides recommendations on dietary factors, food habits, and lifestyle to prevent childhood obesity development, based on the available literature and expert opinion. Clinical research and high-quality trials are urgently needed to resolve numerous areas of uncertainty.
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Hu MD, Lawrence KG, Bodkin MR, Kwok RK, Engel LS, Sandler DP. Neighborhood Deprivation, Obesity, and Diabetes in Residents of the US Gulf Coast. Am J Epidemiol 2021; 190:295-304. [PMID: 33524122 DOI: 10.1093/aje/kwaa206] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 09/20/2020] [Accepted: 09/22/2020] [Indexed: 12/12/2022] Open
Abstract
Socioeconomic status has been associated with cardiovascular disease risk factors. However, few studies have examined this relationship among populations in the US Gulf Coast region. We assessed neighborhood deprivation in relation to obesity and diabetes in 9,626 residents participating in the Gulf Long-Term Follow-Up Study (2011-present) who completed a home visit (2011-2013) with height, weight, waist, and hip measurements. Obesity was categorized as body mass index of at least 30, and diabetes was defined by doctor's diagnosis or prescription medication. Participant home addresses were linked to an established Area Deprivation Index and categorized into 4 levels (1 = least deprived). In adjusted, modified Poisson regression models, participants with greatest deprivation were more likely to have obesity compared with those with least deprivation (adjusted prevalence ratio (aPR) = 1.21, 95% confidence interval (CI): 1.08, 1.35), central obesity (aPR = 1.11, 95% CI: 1.04, 1.19), and diabetes (aPR = 1.49, 95% CI: 1.03, 2.14). Repeated analyses among a subgroup of participants (n = 3,016) whose hemoglobin A1C values were measured 3 years later indicated the association with diabetes (defined as diagnosis, medications, or hemoglobin A1C ≥ 6.5) was similar (aPR = 1.46, 95% CI: 1.14, 1.86). Results suggest neighborhood deprivation is associated with obesity and diabetes in a US region with high baseline prevalence.
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Hobbs M, Mackenbach JD, Wiki J, Marek L, McLeod GFH, Boden JM. Investigating change in the food environment over 10 years in urban New Zealand: A longitudinal and nationwide geospatial study. Soc Sci Med 2021; 269:113522. [PMID: 33339682 DOI: 10.1016/j.socscimed.2020.113522] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 10/08/2020] [Accepted: 11/10/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND While it is likely that changing food environments have contributed to the rise in obesity rates, very few studies have explored historical trends in the food environment with little, if any, consideration at a nationwide level. This longitudinal, nationwide, and geospatial study aims to examine change over time in proximity to food environments in all urban areas of New Zealand from 2005 to 2015. METHOD This study used high quality food outlet data by area-level deprivation within the three largest urban areas of Auckland, Christchurch and Wellington. We hypothesise that distance and travel time by car to supermarkets and fast-food outlets will have decreased over time with the most notable decreases in distance and time occuring in the most deprived areas of urban New Zealand. Change in major chain "fast-food" and "supermarket" outlets as identified by Territorial Authorities between 2005 and 2015 was analysed through the use of multilevel regression models. RESULTS Findings show a decrease in distance and time to both fast-food outlets and supermarkets. The biggest decrease in distance for supermarkets was seen in the most deprived areas. CONCLUSION Our findings contrast and add to previous evidence to demonstrate how changes in the food environment are not uniform, varying by area-level deprivation and by city with more equitable access to supermarkets occurring over time.
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van Rongen S, Poelman MP, Thornton L, Abbott G, Lu M, Kamphuis CBM, Verkooijen K, de Vet E. Neighbourhood fast food exposure and consumption: the mediating role of neighbourhood social norms. Int J Behav Nutr Phys Act 2020; 17:61. [PMID: 32404102 PMCID: PMC7218623 DOI: 10.1186/s12966-020-00969-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/04/2020] [Indexed: 01/16/2023] Open
Abstract
Background The association between the residential fast food environment and diet has gained growing attention. However, why the food environment affects food consumption is under-examined. This study aimed to investigate neighbourhood social norms with respect to fast food consumption as a potential mediating pathway between residential fast food outlet exposure and residents’ fast food consumption. Methods A correlational study was conducted in which a nationwide sample of 1038 respondents living across The Netherlands completed a survey. Respondents reported their fast food consumption (amount/week) as well as perceived descriptive and injunctive norms regarding fast food consumption in their neighbourhood. Fast food outlet exposure was measured by the average count of fast food outlets within a 400 m walking distance buffer around the zip-codes of the respondents, using a retail outlet database. Regression models were used to assess associations between residential fast food outlet exposure, fast food consumption, and social norm perceptions, and a bootstrapping procedure was used to test the indirect -mediation- effect. Separate analyses were performed for descriptive norms and injunctive norms. Results There was no overall or direct association between residential fast food outlet exposure and residents’ fast food consumption. However, fast food outlet exposure was positively associated with neighbourhood social norms (descriptive and injunctive) regarding fast food consumption, which in turn were positively associated with the odds of consuming fast food. Moreover, results of the bootstrapped analysis provided evidence of indirect effects of fast food outlet exposure on fast food consumption, via descriptive norms and injunctive norms. Conclusions In neighbourhoods with more fast food outlets, residents were more likely to perceive fast food consumption in the neighbourhood as more common and appropriate. In turn, stronger neighbourhood social norms were associated with higher fast food consumption. Acknowledging the correlational design, this study is the first that implies that neighbourhood social norms may be a mediating pathway in the relation between the residential fast food environment and fast food consumption. Future research may examine the role of neighbourhood social norms in other contexts and explore how the changing food environment may shift our consumption norms.
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Affiliation(s)
- Sofie van Rongen
- Consumption and Healthy Lifestyles Group, Wageningen University & Research, Hollandseweg 1, 6706 KN, Wageningen, the Netherlands.
| | - Maartje P Poelman
- Consumption and Healthy Lifestyles Group, Wageningen University & Research, Hollandseweg 1, 6706 KN, Wageningen, the Netherlands.,Department of Human Geography, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
| | - Lukar Thornton
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia
| | - Meng Lu
- Department of Physical Geography, Utrecht University, Princetonlaan 8a, 3584 CB, Utrecht, The Netherlands
| | - Carlijn B M Kamphuis
- Department of Interdisciplinary Social Science, Utrecht University, Padualaan 14, 3584 CH, Utrecht, the Netherlands
| | - Kirsten Verkooijen
- Health and Society Group, Wageningen University & Research, Hollandseweg 1, 6706 KN, Wageningen, the Netherlands
| | - Emely de Vet
- Consumption and Healthy Lifestyles Group, Wageningen University & Research, Hollandseweg 1, 6706 KN, Wageningen, the Netherlands
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Egli V, Hobbs M, Carlson J, Donnellan N, Mackay L, Exeter D, Villanueva K, Zinn C, Smith M. Deprivation matters: understanding associations between neighbourhood deprivation, unhealthy food outlets, unhealthy dietary behaviours and child body size using structural equation modelling. J Epidemiol Community Health 2020; 74:460-466. [PMID: 32102839 PMCID: PMC7307662 DOI: 10.1136/jech-2019-213159] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Revised: 12/19/2019] [Accepted: 02/06/2020] [Indexed: 12/17/2022]
Abstract
Background Children residing in neighbourhoods of high deprivation are more likely to have poorer health, including excess body size. While the availability of unhealthy food outlets are increasingly considered important for excess child body size, less is known about how neighbourhood deprivation, unhealthy food outlets and unhealthy dietary behaviours are interlinked. Methods This study involves children aged 8–13 years (n=1029) and resided in Auckland, New Zealand. Unhealthy dietary behaviours (frequency of consumption of unhealthy snacks and drinks) and food purchasing behaviour on the route to and from school were self-reported. Height and waist circumference were measured to calculate waist-to-height ratio (WtHR). Geographic Information Systems mapped neighbourhood deprivation and unhealthy food outlets within individual, child-specific neighbourhood buffer boundaries (800 m around the home and school). Associations between neighbourhood deprivation (calculated using the New Zealand Index of Deprivation 2013), unhealthy food outlets, unhealthy dietary behaviours and WtHR were investigated using structural equation modelling in Mplus V.8.0. Age, sex and ethnicity were included as covariates, and clustering was accounted for at the school level. Results Structural equation models showed that unhealthy food outlets were unrelated to unhealthy dietary behaviours (estimate 0.029, p=0.416) and excess body size (estimate −0.038, p=0.400). However, greater neighbourhood deprivation and poorer dietary behaviours (estimate −0.134, p=0.001) were associated with greater WtHR (estimate 0.169, p<0.001). Conclusion Excess child body size is associated with neighbourhood deprivation and unhealthy dietary behaviours but not unhealthy outlet density or location of these outlets near home and school.
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Affiliation(s)
- Victoria Egli
- School of Nursing, The University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand
| | - Matthew Hobbs
- GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Christchurch, New Zealand
| | - Jordan Carlson
- Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy, Kansas City, Missouri, USA
| | - Niamh Donnellan
- School of Nursing, The University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand
| | - Lisa Mackay
- School of Sport and Recreation, Auckland University of Technology Faculty of Health and Environmental Sciences, Auckland, New Zealand
| | - Daniel Exeter
- Epidemiology and Biostatistics, The University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand
| | - Karen Villanueva
- Centre for Urban Research, Royal Melbourne Institute of Technology, Melbourne, Victoria, Australia
| | - Caryn Zinn
- School of Sport and Recreation, Auckland University of Technology Faculty of Health and Environmental Sciences, Auckland, New Zealand
| | - Melody Smith
- School of Nursing, The University of Auckland Faculty of Medical and Health Sciences, Auckland, New Zealand
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