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Algur Y, Rummo PE, McAlexander TP, De Silva SSA, Lovasi GS, Judd SE, Ryan V, Malla G, Koyama AK, Lee DC, Thorpe LE, McClure LA. Assessing the association between food environment and dietary inflammation by community type: a cross-sectional REGARDS study. Int J Health Geogr 2023; 22:24. [PMID: 37730612 PMCID: PMC10510199 DOI: 10.1186/s12942-023-00345-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/06/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. OBJECTIVE This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across the US. METHODS Using baseline data from the REasons for Geographic and Racial Differences in Stroke study (2003-2007), we calculated participants' dietary inflammation score (DIS). Higher DIS indicates greater pro-inflammatory exposure. We defined our exposures as the relative availability of supermarkets and fast-food restaurants (percentage of food outlet type out of all food stores or restaurants, respectively) using street-network buffers around the population-weighted centroid of each participant's census tract. We used 1-, 2-, 6-, and 10-mile (~ 2-, 3-, 10-, and 16 km) buffer sizes for higher density urban, lower density urban, suburban/small town, and rural community types, respectively. Using generalized estimating equations, we estimated the association between relative food outlet availability and DIS, controlling for individual and neighborhood socio-demographics and total food outlets. The percentage of supermarkets and fast-food restaurants were modeled together. RESULTS Participants (n = 20,322) were distributed across all community types: higher density urban (16.7%), lower density urban (39.8%), suburban/small town (19.3%), and rural (24.2%). Across all community types, mean DIS was - 0.004 (SD = 2.5; min = - 14.2, max = 9.9). DIS was associated with relative availability of fast-food restaurants, but not supermarkets. Association between fast-food restaurants and DIS varied by community type (P for interaction = 0.02). Increases in the relative availability of fast-food restaurants were associated with higher DIS in suburban/small towns and lower density urban areas (p-values < 0.01); no significant associations were present in higher density urban or rural areas. CONCLUSIONS The relative availability of fast-food restaurants was associated with higher DIS among participants residing in suburban/small town and lower density urban community types, suggesting that these communities might benefit most from interventions and policies that either promote restaurant diversity or expand healthier food options.
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Affiliation(s)
- Yasemin Algur
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA.
| | - Pasquale E Rummo
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Tara P McAlexander
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA
| | - S Shanika A De Silva
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA
| | - Gina S Lovasi
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA
| | - Suzanne E Judd
- Department of Biostatistics, The University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Victoria Ryan
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA
| | - Gargya Malla
- Department of Epidemiology, The University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Alain K Koyama
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - David C Lee
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
- Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Lorna E Thorpe
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Leslie A McClure
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Nesbitt Hall, 3215 Market Street, Philadelphia, PA, 19104, USA
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Shea MK, Korat AVA, Jacques PF, Sebastiani P, Cohen R, LaVertu AE, Booth SL. Leveraging Observational Cohorts to Study Diet and Nutrition in Older Adults: Opportunities and Obstacles. Adv Nutr 2022; 13:1652-1668. [PMID: 35362509 PMCID: PMC9526832 DOI: 10.1093/advances/nmac031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/14/2022] [Accepted: 03/25/2022] [Indexed: 01/28/2023] Open
Abstract
By 2060, the number of adults aged ≥65 y is expected to double, and the ≥85 y segment of the population is expected to triple in the United States. US federal nutrition guidance is based on the premise that healthy diets contribute to delaying the onset and progression of many age-related diseases and disability. Yet, little is known about the dietary intakes or nutritional needs across the older adulthood age span. This review aims to identify community-based cohorts that collected information on dietary intake of adults ≥65 y in the United States. Thirty-two cohorts met all inclusion criteria. We summarized information on the cohorts' design, demographics, and diet assessment. We also identified key gaps in the existing databases that, if filled, could enhance their utility to address certain research questions. This review serves as a valuable inventory of cohorts that can be leveraged to answer key questions about the diet and nutritional needs of the oldest old, who represent the fastest growing segment of the population in the United States.
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Affiliation(s)
| | | | - Paul F Jacques
- USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
| | - Rebecca Cohen
- USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Amy E LaVertu
- Hirsh Health Sciences Library, Tufts University, Boston, MA, USA
| | - Sarah L Booth
- USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
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Gesteiro E, García-Carro A, Aparicio-Ugarriza R, González-Gross M. Eating out of Home: Influence on Nutrition, Health, and Policies: A Scoping Review. Nutrients 2022; 14:nu14061265. [PMID: 35334920 PMCID: PMC8953831 DOI: 10.3390/nu14061265] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/08/2022] [Accepted: 03/12/2022] [Indexed: 12/13/2022] Open
Abstract
Eating out of home (EOH) is a common practice worldwide but research gaps have been identified. The aims of this review were (a) to find a common definition for EOH, (b) to determine the nutritional contribution of EOH, and (c) to analyze the relationship of EOH with health parameters in adults. Fifty-seven articles were finally selected. The definition of EOH was not harmonized between researchers and the comparison between studies was quite difficult. Restaurant and fast food were the terms most used, followed by chain restaurant, à la carte, sit-down restaurant, eating at table, full service, ready to eat, takeaway, buffet and buffet by weight, bar, cafes, and cafeterias, either alone or attached to at least one of the above. The profile of the main EOH participant was a highly educated, high-income, and unmarried young man. EOH was related to a body mass index (BMI) or being overweight in a different way depending on age, sex, or EOH frequency. A high rate of EOH led to poorer diet quality, characterized by higher intakes of energy, total and saturated fats, sugar, and sodium, as well as lower intakes of fiber, dairy, fruit, vegetables, and micronutrients. Regarding beverages, a higher intake of soft drinks, sugar-sweetened beverages, fruit juices, beer, and other alcohol was observed when EOH. There is a need for a methodological consensus for analyzing the impact of EOH on dietary intake and health to avoid bias. Additionally, measures and policies should be utilized to help consumers to make healthier choices when EOH is compatible with business regarding those running EOH establishments.
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Affiliation(s)
- Eva Gesteiro
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, E-28040 Madrid, Spain; (A.G.-C.); (R.A.-U.); (M.G.-G.)
- Correspondence: ; Tel.: +34-910-677-980
| | - Alberto García-Carro
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, E-28040 Madrid, Spain; (A.G.-C.); (R.A.-U.); (M.G.-G.)
| | - Raquel Aparicio-Ugarriza
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, E-28040 Madrid, Spain; (A.G.-C.); (R.A.-U.); (M.G.-G.)
| | - Marcela González-Gross
- ImFINE Research Group, Department of Health and Human Performance, Universidad Politécnica de Madrid, E-28040 Madrid, Spain; (A.G.-C.); (R.A.-U.); (M.G.-G.)
- Institute of Health Carlos III, CIBEROBN (Physiopathology of Obesity and Nutrition, CB12/03/30038), E-28029 Madrid, Spain
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