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Hanna DB, Hua S, Gonzalez F, Kershaw KN, Rundle AG, Van Horn LV, Wylie-Rosett J, Gellman MD, Lovasi GS, Kaplan RC, Mossavar-Rahmani Y, Shaw PA. Higher Neighborhood Population Density Is Associated with Lower Potassium Intake in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182010716. [PMID: 34682466 PMCID: PMC8535329 DOI: 10.3390/ijerph182010716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/04/2021] [Accepted: 10/10/2021] [Indexed: 11/26/2022]
Abstract
Current U.S. dietary guidelines recommend a daily potassium intake of 3400 mg/day for men and 2600 mg/day for women. Sub-optimal access to nutrient-rich foods may limit potassium intake and increase cardiometabolic risk. We examined the association of neighborhood characteristics related to food availability with potassium intake in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). 13,835 participants completed a 24-h dietary recall assessment and had complete covariates. Self-reported potassium intake was calibrated with an objective 24-h urinary potassium biomarker, using equations developed in the SOL Nutrition & Physical Activity Assessment Study (SOLNAS, N = 440). Neighborhood population density, median household income, Hispanic/Latino diversity, and a retail food environment index by census tract were obtained. Linear regression assessed associations with 24-h potassium intake, adjusting for individual-level and neighborhood confounders. Mean 24-h potassium was 2629 mg/day based on the SOLNAS biomarker and 2702 mg/day using multiple imputation and HCHS/SOL biomarker calibration. Compared with the lowest quartile of neighborhood population density, living in the highest quartile was associated with a 26% lower potassium intake in SOLNAS (adjusted fold-change 0.74, 95% CI 0.59–0.94) and a 39% lower intake in HCHS/SOL (adjusted fold-change 0.61 95% CI 0.45–0.84). Results were only partially explained by the retail food environment. The mechanisms by which population density affects potassium intake should be further studied.
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Affiliation(s)
- David B. Hanna
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (S.H.); (J.W.-R.); (R.C.K.); (Y.M.-R.)
- Correspondence:
| | - Simin Hua
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (S.H.); (J.W.-R.); (R.C.K.); (Y.M.-R.)
| | - Franklyn Gonzalez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Kiarri N. Kershaw
- Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA; (K.N.K.); (L.V.V.H.)
| | - Andrew G. Rundle
- Department of Epidemiology, Columbia University, New York, NY 10032, USA;
| | - Linda V. Van Horn
- Department of Preventive Medicine, Northwestern University, Chicago, IL 60611, USA; (K.N.K.); (L.V.V.H.)
| | - Judith Wylie-Rosett
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (S.H.); (J.W.-R.); (R.C.K.); (Y.M.-R.)
| | - Marc D. Gellman
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA;
| | - Gina S. Lovasi
- Department of Epidemiology and Biostatistics and Urban Health Collective, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA;
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (S.H.); (J.W.-R.); (R.C.K.); (Y.M.-R.)
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (S.H.); (J.W.-R.); (R.C.K.); (Y.M.-R.)
| | - Pamela A. Shaw
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA;
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Tamura K, Curlin K, Neally SJ, Vijayakumar NP, Mitchell VM, Collins BS, Gutierrez-Huerta C, Troendle JF, Baumer Y, Osei Baah F, Turner BS, Gray V, Tirado BA, Ortiz-Chaparro E, Berrigan D, Mehta NN, Vaccarino V, Zenk SN, Powell-Wiley TM. Geospatial Analysis of Neighborhood Environmental Stress in Relation to Biological Markers of Cardiovascular Health and Health Behaviors in Women: Protocol for a Pilot Study. JMIR Res Protoc 2021; 10:e29191. [PMID: 34292168 PMCID: PMC8367127 DOI: 10.2196/29191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 11/26/2022] Open
Abstract
Background Innovative analyses of cardiovascular (CV) risk markers and health behaviors linked to neighborhood stressors are essential to further elucidate the mechanisms by which adverse neighborhood social conditions lead to poor CV outcomes. We propose to objectively measure physical activity (PA), sedentary behavior, and neighborhood stress using accelerometers, GPS, and real-time perceived ecological momentary assessment via smartphone apps and to link these to biological measures in a sample of White and African American women in Washington, DC, neighborhoods. Objective The primary aim of this study is to test the hypothesis that living in adverse neighborhood social conditions is associated with higher stress-related neural activity among 60 healthy women living in high or low socioeconomic status neighborhoods in Washington, DC. Sub-aim 1 of this study is to test the hypothesis that the association is moderated by objectively measured PA using an accelerometer. A secondary objective is to test the hypothesis that residing in adverse neighborhood social environment conditions is related to differences in vascular function. Sub-aim 2 of this study is to test the hypothesis that the association is moderated by objectively measured PA. The third aim of this study is to test the hypothesis that adverse neighborhood social environment conditions are related to differences in immune system activation. Methods The proposed study will be cross-sectional, with a sample of at least 60 women (30 healthy White women and 30 healthy Black women) from Wards 3 and 5 in Washington, DC. A sample of the women (n=30) will be recruited from high-income areas in Ward 3 from census tracts within a 15% of Ward 3’s range for median household income. The other participants (n=30) will be recruited from low-income areas in Wards 5 from census tracts within a 15% of Ward 5’s range for median household income. Finally, participants from Wards 3 and 5 will be matched based on age, race, and BMI. Participants will wear a GPS unit and accelerometer and report their stress and mood in real time using a smartphone. We will then examine the associations between GPS-derived neighborhood variables, stress-related neural activity measures, and adverse biological markers. Results The National Institutes of Health Institutional Review Board has approved this study. Recruitment will begin in the summer of 2021. Conclusions Findings from this research could inform the development of multilevel behavioral interventions and policies to better manage environmental factors that promote immune system activation or psychosocial stress while concurrently working to increase PA, thereby influencing CV health. International Registered Report Identifier (IRRID) PRR1-10.2196/29191
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Affiliation(s)
- Kosuke Tamura
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Kaveri Curlin
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Sam J Neally
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Nithya P Vijayakumar
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Valerie M Mitchell
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Billy S Collins
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Cristhian Gutierrez-Huerta
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - James F Troendle
- Office of Biostatistics Research, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Yvonne Baumer
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Foster Osei Baah
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Briana S Turner
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Veronica Gray
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Brian A Tirado
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Erika Ortiz-Chaparro
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - David Berrigan
- Health Behaviors Research Branch, Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Shady Grove, MD, United States
| | - Nehal N Mehta
- Section of Inflammation and Cardiometabolic Diseases, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States.,Department of Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Shannon N Zenk
- National Institute of Nursing Research, National Institutes of Health, Bethesda, MD, United States
| | - Tiffany M Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States.,Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States
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Thornton LE, Lamb KE, White SR. The use and misuse of ratio and proportion exposure measures in food environment research. Int J Behav Nutr Phys Act 2020; 17:118. [PMID: 32957988 PMCID: PMC7507725 DOI: 10.1186/s12966-020-01019-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 09/07/2020] [Indexed: 01/06/2023] Open
Abstract
Background The food stores within residential environments are increasingly investigated as a possible mechanism driving food behaviours and health outcomes. Whilst increased emphasis is being placed on the type of study designs used and how we measure the outcomes, surprisingly little attention gets diverted to the measures of the food environment beyond calls for standardised approaches for food store coding and geographic scales of exposure. Food environments are a challenging concept to measure and model and the use of ratio and proportion measures are becoming more common in food environment research. Whilst these are seemingly an advance on single store type indicators, such as simply counting the number of supermarkets or fast food restaurants present, they have several limitations that do not appear to have been fully considered. Main body In this article we report on five issues related to the use of ratio and proportion food environment measures: 1) binary categorisation of food stores; 2) whether they truly reflect a more or less healthy food environment; 3) issues with these measures not reflecting the quantity of food stores; 4) difficulties when no stores are present; and 5) complications in statistical treatment and interpretation of ratio and proportion measures. Each of these issues are underappreciated in the literature to date and highlight that ratio and proportion measures need to be treated with caution. Conclusion Calls for the broader adoption of relative food environment measures may be misguided. Whilst we should continue to search for better ways to represent the complexity of food environments, ratio and proportion measures are unlikely to be the answer.
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Affiliation(s)
- Lukar E Thornton
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Burwood, Australia.
| | - Karen E Lamb
- Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia
| | - Simon R White
- Medical Research Council (MRC) Biostatistics Unit, University of Cambridge, Cambridge, UK
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Neighborhood Food Outlet Access and Dietary Intake among Adults with Chronic Kidney Disease: Results from the Chronic Renal Insufficiency Cohort Study. J Acad Nutr Diet 2020; 120:1151-1162.e3. [PMID: 32146126 DOI: 10.1016/j.jand.2019.12.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/16/2019] [Indexed: 12/26/2022]
Abstract
BACKGROUND Healthy diet is essential in the management of chronic kidney disease (CKD) and preventing related comorbidities. Food outlet access has been studied in the general population; however, the influence of the local food environment on dietary intake among people with CKD has not been evaluated. OBJECTIVES This study examined the associations of food outlet density and type of outlets with dietary intake in a multicenter cohort of racially and ethnically diverse patients with CKD. METHODS The Chronic Renal Insufficiency Cohort Study is a multicenter prospective study of patients with CKD that used a validated food frequency questionnaire to capture dietary intake at the baseline visit. This is a cross-sectional analysis of 2,484 participants recruited in 2003-2006 from seven Chronic Renal Insufficiency Cohort Study centers. Food outlet data were used to construct a count of the number of fast-food restaurants, convenience stores, and grocery stores per 10,000 population for each geocoded census block group. Multivariable linear and logistic regression models were used to evaluate the associations between measures of food outlet availability and dietary factors. RESULTS The proportion of participants living in zero-, low-, and high-food outlet density areas differed by gender, race or ethnicity, and income level. Among male subjects, living in areas with zero or the highest number of outlets was associated with having the highest caloric intakes in multivariable models. Male subjects living in areas with zero outlets consumed the highest levels of sodium and phosphorous. Female subjects living in areas with zero outlets had the lowest average intake of calories, sodium, and phosphorous. Among low-income female subjects, close proximity to more outlets was associated with higher calorie consumption. Among all participants, access to fast-food restaurants was not associated with an unhealthy diet score, and access to grocery stores was not associated with a healthy diet score. CONCLUSIONS Average caloric and nutrient intakes differed by outlet availability; however, there were no strong associations with type of food outlet. This should be considered when developing food-focused public health policies.
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Han S, Wu L, Wang W, Li N, Wu X. Trends in Dietary Nutrients by Demographic Characteristics and BMI among US Adults, 2003-2016. Nutrients 2019; 11:E2617. [PMID: 31683900 PMCID: PMC6893675 DOI: 10.3390/nu11112617] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 10/28/2019] [Accepted: 10/29/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Limited data were available on trends of US dietary nutrients especially for specific subgroups; Methods: Dietary intakes of energy and 36 kinds of nutrients were analyzed in the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2016 and by age and sex, socioeconomic status, race/ethnicity, and body mass index, which were evaluated by whether not they meet the dietary reference intakes (DRIs); Results: Significantly decreased trends were observed for carbohydrate, total sugars, fiber, calcium, magnesium, phosphorus, selenium, vitamin B6, E, K, and choline, while increased trends were observed for saturated fatty acids, iron, zinc, copper, potassium, sodium, vitamin B1, B2, B12, C and folate DFE (as dietary folate equivalents). A decreased trend of exceeding the estimated energy requirement was found. Population with low socioeconomic status and non-Hispanic blacks accounted for the largest proportion not meeting DRIs for most of nutrients; Conclusions: Most dietary nutrients were improved among US adults from 2003 to 2016 but were still far from optimal levels. Populations with low socioeconomic status and non-Hispanic blacks should be paid more attention to improve their dietary nutrient intake.
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Affiliation(s)
- Shan Han
- Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China.
| | - Lanlan Wu
- Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China.
| | - Wenjie Wang
- Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China.
| | - Na Li
- Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China.
| | - Xiaoyan Wu
- Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin 150081, China.
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The Association Between Obesity, Socio-Economic Status, and Neighborhood Environment: A Multi-Level Analysis of Spokane Public Schools. J Community Health 2019; 45:41-47. [PMID: 31392604 DOI: 10.1007/s10900-019-00714-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Socio economic inequities in obesity have been attributed to individuals' psychosocial and behavioral characteristics. School environment, where children spend a large part of their day, may play an important role in shaping their health. This study aims to assess whether prevalence of overweight and obesity among elementary school students was associated with the school's social and built environments. Analyses were based on 28 public elementary schools serving a total of 10,327 children in the city of Spokane, Washington. Schools were classified by percentage of students eligible for free and reduced meals (FRM). Crime rates, density of arterial roads, healthy food access, and walkability were computed in a one-mile walking catchment around schools to characterize their surrounding neighborhood. In the unadjusted multilevel logistic regression analyses, age, sex, percentage of students eligible for FRM, crime, walkability, and arterial road exposure were individually associated with the odds of being overweight or obese. In the adjusted model, the odds of being overweight or obese were higher with age, being male, and percentage of students eligible for FRM. The results call for policies and programs to improve the school environment, students' health, and safety conditions near schools.
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Zhang X, Zhao H, Chow WH, Durand C, Markham C, Zhang K. Associations between the built environment and body mass index in the Mexican American Mano A Mano Cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 654:456-462. [PMID: 30447584 DOI: 10.1016/j.scitotenv.2018.11.122] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 11/04/2018] [Accepted: 11/08/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Obesity is highly prevalent in Mexican American adults. Studies on the role of the built environment in relation to obesity among this population are scarce. OBJECTIVES To investigate cross-sectional associations between multiple components of the built environment, and Body Mass Index (BMI) as well as obesity status among Mexican American adults enrolled in the Mano a Mano Cohort (MAC) study in Houston, Texas. METHODS We calculated BMI from measured height and weight among 9534 Mexican American adults (aged 20-60) who participated in the baseline survey during 2008-2013. Several metrics of exposure to the built environment (physical activity environment, land use, and food environment) were generated using Geographic Information System and Google Maps based on participants' residential address. Generalized linear regression and logistic regression models were used to estimate associations between exposure to the built environment, a continuous BMI variable and categorical BMI variables (<30, ≥30 and ≥35), respectively. RESULTS Among all built environment exposure variables investigated, road density (total road length per km2) [0.21 (0.06, 0.36) as coefficient (95% CI)], intersection density (intersection links per km2) [0.74 (0.21, 1.28)], networked distance (km) [-0.29 (-0.47, -0.10)], and walking time (mins) [-0.02 (-0.04, -0.01)] to the nearest parks had statistically significantly linear associations with BMI. Those variables were found to have statistically significant associations with BMI ≥ 35 in logistic regression models, the odds ratio was 1.08 (1.02, 1.14) for road density, 1.31 (1.07, 1.60) for intersection density, 0.91 (0.85, 0.98) for networked distance, and 0.99 (0.99, 1.00) for walking time. None of the built environment exposure variables were found to be associated with BMI ≥ 30. CONCLUSIONS Living in areas with high density of roads exhibited significant associations with increased BMI, in particular BMI ≥ 35, among enrolled Mexican American adults in the MAC study.
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Affiliation(s)
- Xueying Zhang
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hua Zhao
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Casey Durand
- Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Christine Markham
- Department of Health Promotion and Behavioral Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kai Zhang
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Southwest Center for Occupational and Environmental Health, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
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de Mestral C, Mayén AL, Petrovic D, Marques-Vidal P, Bochud M, Stringhini S. Socioeconomic Determinants of Sodium Intake in Adult Populations of High-Income Countries: A Systematic Review and Meta-Analysis. Am J Public Health 2017; 107:e1-e12. [PMID: 28207328 DOI: 10.2105/ajph.2016.303629] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND A poorer quality diet among individuals with low socioeconomic status (SES) may partly explain the higher burden of noncommunicable disease among disadvantaged populations. Because there is a link between sodium intake and noncommunicable diseases, we systematically reviewed the current evidence on the social patterning of sodium intake. OBJECTIVES To conduct a systematic review and a meta-analysis of the evidence on the association between SES and sodium intake in healthy adult populations of high-income countries. SEARCH METHODS We followed the PRISMA-Equity guidelines in conducting a literature search that ended June 3, 2016, via MEDLINE, Embase, and SciELO. We imposed no publication date limits. SELECTION CRITERIA We considered only peer-reviewed articles meeting the following inclusion criteria: (1) reported a measure of sodium intake disaggregated by at least 1 measure of SES (education, income, occupation, or any other socioeconomic indicator); (2) were written in English, Spanish, Portuguese, French, or Italian; and (3) were conducted in a high-income country as defined by the World Bank (i.e., per capita national gross income was higher than $12 746). We also excluded articles that exclusively sampled low-SES individuals, pregnant women, children, adolescents, elderly participants, or diseased patients or that reported results from a trial or intervention. DATA COLLECTION AND ANALYSIS As summary measures, we extracted (1) the direction (positive, negative, or neutral) and the magnitude of the association between each SES indicator and sodium intake, and (2) the estimated sodium intake according to SES level. When possible and if previously unreported, we calculated the magnitude of the relative difference in sodium intake between high- and low-SES groups for each article, applying this formula: ([value for high-SES group - value for low-SES group]/[value for high-SES group]) × 100. We considered an association significant if reported as such, and we set an arbitrary 10% relative difference as clinically relevant and significant. We conducted a meta-analysis of the relative difference in sodium intake between high- and low-SES groups. We included articles in the meta-analysis if they reported urine-based sodium estimates and provided the total participant numbers in the low- and high-SES groups, the estimated sodium intake means for each group (in mg/day or convertible units), and the SDs (or transformable measures). We chose a random-effects model to account for both within-study and between-study variance. MAIN RESULTS Fifty-one articles covering 19 high-income countries met our inclusion criteria. Of these, 22 used urine-based methods to assess sodium intake, and 30 used dietary surveys. These articles assessed 171 associations between SES and sodium intake. Among urine-based estimates, 67% were negative (higher sodium intake in people of low SES), 3% positive, and 30% neutral. Among diet-based estimates, 41% were negative, 21% positive, and 38% neutral. The random-effects model indicated a 14% relative difference between low- and high-SES groups (95% confidence interval [CI] = -18, -9), corresponding to a global 503 milligrams per day (95% CI = 461, 545) of higher sodium intake among people of low SES. CONCLUSIONS People of low SES consume more sodium than do people of high SES, confirming the current evidence on socioeconomic disparities in diet, which may influence the disproportionate noncommunicable disease burden among disadvantaged socioeconomic groups. Public Health Implications. It is necessary to focus on disadvantaged populations to achieve an equitable reduction in sodium intake to a population mean of 2 grams per day as part of the World Health Organization's target to achieve a 25% relative reduction in noncommunicable disease mortality by 2025.
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Affiliation(s)
- Carlos de Mestral
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
| | - Ana-Lucia Mayén
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
| | - Dusan Petrovic
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
| | - Pedro Marques-Vidal
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
| | - Murielle Bochud
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
| | - Silvia Stringhini
- Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital
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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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Abstract
Increasing attention has been given to the role of retail food environments in shaping dietary behavior and obesity risk. Studies have generally shown an association between living in a neighborhood with or in close proximity to certain types of food outlets and/or the availability of healthy food options and better dietary quality, higher fruit/vegetable intakes, and a lower risk of overweight, even after controlling for individual/family level characteristics. However, research in this area has yielded mixed results, overall. Future research needs to identify consistent approaches for defining and measuring food retail environments.
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Affiliation(s)
- Angela Odoms-Young
- College of Applied Health Sciences, Department of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 W. Taylor MC 517, Chicago, Illinois, 60612, USA.
- Office of Community Engagement and Neighborhood Health Partnerships, University of Illinois Hospital and Health Sciences System, Chicago, IL, USA.
- The Cancer Education and Cancer Development Program, Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA.
| | - Chelsea R Singleton
- The Cancer Education and Cancer Development Program, Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA
| | - Sparkle Springfield
- College of Applied Health Sciences, Department of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 W. Taylor MC 517, Chicago, Illinois, 60612, USA
- The Cancer Education and Cancer Development Program, Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL, USA
| | - Leilah McNabb
- College of Applied Health Sciences, Department of Kinesiology and Nutrition, University of Illinois at Chicago, 1919 W. Taylor MC 517, Chicago, Illinois, 60612, USA
| | - Terry Thompson
- Public Health and Health Sciences, University of Michigan-Flint, Flint, MI, USA
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11
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Carvalho MS, Coeli CM, Chor D, Pinheiro RS, da Fonseca MDJM, de Sá Carvalho LC. The Challenge of Cardiovascular Diseases and Diabetes to Public Health: A Study Based on Qualitative Systemic Approach. PLoS One 2015; 10:e0132216. [PMID: 26171854 PMCID: PMC4501838 DOI: 10.1371/journal.pone.0132216] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 06/08/2015] [Indexed: 01/02/2023] Open
Abstract
The most common modeling approaches to understanding incidence, prevalence and control of chronic diseases in populations, such as statistical regression models, are limited when it comes to dealing with the complexity of those problems. Those complex adaptive systems have characteristics such as emerging properties, self-organization and feedbacks, which structure the system stability and resistance to changes. Recently, system science approaches have been proposed to deal with the range, complexity, and multifactor nature of those public health problems. In this paper we applied a multilevel systemic approach to create an integrated, coherent, and increasingly precise conceptual framework, capable of aggregating different partial or specialized studies, based on the challenges of the Longitudinal Study of Adult Health - ELSA-Brasil. The failure to control blood pressure found in several of the study's subjects was discussed, based on the proposed model, analyzing different loops, time lags, and feedback that influence this outcome in a population with high educational level, with reasonably good health services access. We were able to identify the internal circularities and cycles that generate the system's resistance to change. We believe that this study can contribute to propose some new possibilities of the research agenda and to the discussion of integrated actions in the field of public health.
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Affiliation(s)
- Marilia Sá Carvalho
- Scientific Computing Program, Oswaldo Cruz Foundation, Antiga Residência Oficial, Rio de Janeiro, RJ, Brazil
- * E-mail:
| | - Claudia Medina Coeli
- Institute for Studies in Collective Health. Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Dóra Chor
- Department of Epidemiology, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil
| | - Rejane Sobrino Pinheiro
- Institute for Studies in Collective Health. Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
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