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Plans-Beriso E, Gullon P, Fontan-Vela M, Franco M, Perez-Gomez B, Pollan M, Cura-Gonzalez I, Bilal U. Modifying effect of urban parks on socioeconomic inequalities in diabetes prevalence: a cross-sectional population study of Madrid City, Spain. J Epidemiol Community Health 2024; 78:360-366. [PMID: 38453450 DOI: 10.1136/jech-2023-221198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 02/25/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Evidence has shown contradicting results on how the density of urban green spaces may reduce socioeconomic inequalities in type 2 diabetes (equigenic hypothesis). The aim of this study is to test whether socioeconomic inequalities in diabetes prevalence are modified by park density. METHODS We designed a population-wide cross-sectional study of all adults registered in the primary healthcare centres in the city of Madrid, Spain (n=1 305 050). We obtained georeferenced individual-level data from the Primary Care Electronic Health Records, and census-tract level data on socioeconomic status (SES) and park density. We modelled diabetes prevalence using robust Poisson regression models adjusted by age, country of origin, population density and including an interaction term with park density, stratified by gender. We used this model to estimate the Relative Index of Inequality (RII) at different park density levels. FINDINGS We found an overall RII of 2.90 (95% CI 2.78 to 3.02) and 4.50 (95% CI 4.28 to 4.74) in men and women, respectively, meaning that the prevalence of diabetes was three to four and a half times higher in low SES compared with high SES areas. These inequalities were wider in areas with higher park density for both men and women, with a significant interaction only for women (p=0.008). INTERPRETATION We found an inverse association between SES and diabetes prevalence in both men and women, with wider inequalities in areas with more parks. Future works should study the mechanisms of these findings, to facilitate the understanding of contextual factors that may mitigate diabetes inequalities.
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Affiliation(s)
- Elena Plans-Beriso
- Department of Epidemiology of Chronic Diseases, National Center For Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Public Health and Epidemiology Research Group, Facultad de Medicina y Ciencias de la Salud, Universidad de Alcala de Henares, Alcala de Henares, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Pedro Gullon
- Public Health and Epidemiology Research Group, Facultad de Medicina y Ciencias de la Salud, Universidad de Alcala de Henares, Alcala de Henares, Spain
| | - Mario Fontan-Vela
- Public Health and Epidemiology Research Group, Facultad de Medicina y Ciencias de la Salud, Universidad de Alcala de Henares, Alcala de Henares, Spain
| | - Manuel Franco
- Social and Cardiovascular Research Group, Facultad de Medicina y Ciencias de la Salud, Universidad de Alcala de Henares, Alcala de Henares, Spain
| | - Beatriz Perez-Gomez
- Department of Epidemiology of Chronic Diseases, National Center For Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Marina Pollan
- Department of Epidemiology of Chronic Diseases, National Center For Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Isabel Cura-Gonzalez
- Primary Care Research Unit, Madrid Health Service, Madrid, Spain
- Health Services Research on Chronic Patients Network (REDISSEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Usama Bilal
- Urban Health Collaborative, Drexel University, Philadelphia, Pennsylvania, USA
- Epidemiology and Biostatistics, Drexel University, Philadelphia, Pennsylvania, USA
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Hewitt RJ, Caramés E, Borge R. Is air pollution exposure linked to household income? Spatial analysis of Community Multiscale Air Quality Model results for Madrid. Heliyon 2024; 10:e27117. [PMID: 38439824 PMCID: PMC10909769 DOI: 10.1016/j.heliyon.2024.e27117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 02/06/2024] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
This study explores the potential correlation between income and exposure to air pollution for the city of Madrid, Spain and its neighboring municipalities. Madrid is a well-known European air pollution hotspot with a high mortality burden attributable to nitrogen dioxide (NO2) and fine particulate matter (PM2.5). Statistical analyses were carried out using electoral district level data on gross household income (GHI), and NO2 and PM2.5 concentrations in air obtained from a mesoscale air quality model for the study area. We applied linear regression, bivariate spatial correlation analysis, spatial autoregression and geographically weighted regression to explore the relationship between contaminants and income. Three different strategies were adopted to harmonize data for analysis. While some strategies suggested a link between income and air pollution, others did not, highlighting the need for multiple different approaches where uncertainty is high. Our findings offer important lessons for future spatial geographical studies of air pollution in cities worldwide. In particular we highlight the limitations of census-scale socio-economic data and the lack of non-model derived high-resolution air quality measurement data for many cities and offers lessons for policy makers on improving the integration of these types of essential public information.
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Affiliation(s)
- Richard J. Hewitt
- Institute of Economy, Geography and Demography, Centre for Human and Social Sciences, National Research Council (CSIC), C/ de Albasanz, 26, 28037, Madrid, Spain
- Transport and Territory Research Group (t-GIS), Department of Geography, Madrid Complutense University, 28040, Madrid, Spain
| | - Eduardo Caramés
- Observatorio para una Cultura del Territorio, C/ del Duque de Fernán Núñez, 2,1, 28012, Madrid, Spain
| | - Rafael Borge
- Escuela Técnica Superior de Ingenieros Industriales, Departamento de Ingeniería Química Industrial y del Medio Ambiente, Universidad Politécnica de Madrid (UPM), C/ José Gutiérrez Abascal, 2, 28006, Madrid, Spain
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Guion M, Mandereau-Bruno L, Goria S, Cosson E, Fosse-Edorh S. Eleven-year trends in socioeconomic inequalities in the prevalence and incidence of pharmacologically treated type 2 diabetes in France, 2010-2020. DIABETES & METABOLISM 2024; 50:101509. [PMID: 38216030 DOI: 10.1016/j.diabet.2024.101509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 12/20/2023] [Accepted: 12/29/2023] [Indexed: 01/14/2024]
Abstract
AIM This study aimed to describe the association between socioeconomic inequalities and the prevalence and incidence of pharmacologically-treated type 2 diabetes in European France over the 2010-2020 period. METHODS Diabetes cases were identified using a validated algorithm from the French National Health Data System. Analysis was restricted to adults aged 45 years and older to focus on type 2 diabetes. Socioeconomic inequalities were measured for all years in European France using the French deprivation index (FDep, 2015 version), which is an area-based deprivation indicator using population-weighted quintiles (Q1 corresponds to the least deprived municipalities). The relative risks of diabetes prevalence and incidence associated with FDep quintiles (Q1 as the reference) were estimated by sex using a log-linear Poisson model adjusted for year, age and French department. The study population was the French health consumers aged 45 years and over (from 24,228,526 in 2010 to 29,772,928 in 2020). RESULTS A positive gradient was observed in the relative risks of type 2 diabetes prevalence and incidence by FDep quintiles over the study period. The strength of the estimated associations increased over the last decade for prevalence among men and women and for incidence among men in the two most deprived quintiles. CONCLUSION Thus, type 2 diabetes prevention should include a proportionate universalism approach, proposing actions of greater intensity in the most deprived areas.
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Affiliation(s)
- Marie Guion
- Department of Non-Communicable Diseases and Trauma, Santé Publique France, Saint-Maurice, France; Recherche en Epidémiologie Nutritionnelle (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France.
| | | | - Sarah Goria
- Data science division, Santé Publique France, Saint-Maurice, France
| | - Emmanuel Cosson
- Recherche en Epidémiologie Nutritionnelle (EREN), Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center of Research in Epidemiology and StatisticS (CRESS), Bobigny, France; Department of Endocrinology-Diabetology-Nutrition, Avicenne Hospital, University of Paris 13, Sorbonne Paris Cité, CRNH-IdF, CINFO, AP-HP, Bobigny, France
| | - Sandrine Fosse-Edorh
- Department of Non-Communicable Diseases and Trauma, Santé Publique France, Saint-Maurice, France
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Daneshmand M, Jamshidi H, Farjoo MH, Malekpour MR, Ghasemi E, Mortazavi SS, Shati M, Farzadfar F. Assessment of Hemoglobin A1c Management and Prescription Cost Due to Polypharmacy Among Patients With Diabetes in Iran Based on the STEPS Iran 2016 Survey and a Prescription Database: A Multi-level, Cross-sectional National Study. ARCHIVES OF IRANIAN MEDICINE 2024; 27:1-7. [PMID: 38431954 PMCID: PMC10915928 DOI: 10.34172/aim.2024.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/13/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Diabetes frequently results in the need for multiple medication therapies, known as 'Polypharmacy'. This situation can incur significant costs and increase the likelihood of medication errors. This study evaluated the prescriptions of patients with diabetes regarding polypharmacy to assess its effect on the control of hemoglobin A1c (HbA1c) levels and prescription costs. METHODS A cross-sectional national study was conducted based on data from linking the Iranians Health Insurance Service prescriptions in 2015 and 2016 with the STEPS 2016 survey in Iran. The association of the individual and sociodemographic factors, as well as polypharmacy, as independent variables, with control of HbA1c levels and the cost of the prescriptions were assessed among diabetic patients using logistic and linear regression, respectively. RESULTS Among 205 patients using anti-diabetic medications, 47.8% experienced polypharmacy. The HbA1c of 74 patients (36.1%) was equal to or less than 7, indicating controlled diabetes. HbA1c control showed no significant association with gender. However, prescription costs were notably lower in females (β=0.559 [0.324‒0.964], P=0.036). No significant correlation was found between the area of residence and prescription costs, but HbA1c was significantly more controlled in urban areas (OR=2.667 [1.132‒6.282], P=0.025). Prescription costs were significantly lower in patients without polypharmacy (β=0.211, [0.106‒0.423], P<0.001), though there was no significant association between polypharmacy and HbA1c levels. CONCLUSION Our results demonstrated that diabetics with polypharmacy paid significantly more for their prescriptions without experiencing a positive effect on the control of HbA1c levels.
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Affiliation(s)
- Mojdeh Daneshmand
- Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamidreza Jamshidi
- Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Farjoo
- Department of Pharmacology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Reza Malekpour
- Non-Communicable Diseases Research Centre, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Ghasemi
- Non-Communicable Diseases Research Centre, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyede Salehe Mortazavi
- Geriatric Mental Health Research Center, School of Behavioural Sciences and Mental Health, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Shati
- Mental Health Research Centre, Department of Epidemiology, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Centre, Tehran University of Medical Sciences, Tehran, Iran
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Uddin J, Zhu S, Adhikari S, Nordberg CM, Howell CR, Malla G, Judd SE, Cherrington AL, Rummo PE, Lopez P, Kanchi R, Siegel K, De Silva SA, Algur Y, Lovasi GS, Lee NL, Carson AP, Hirsch AG, Thorpe LE, Long DL. Age and sex differences in the association between neighborhood socioeconomic environment and incident diabetes: Results from the diabetes location, environmental attributes and disparities (LEAD) network. SSM Popul Health 2023; 24:101541. [PMID: 38021462 PMCID: PMC10665656 DOI: 10.1016/j.ssmph.2023.101541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Worse neighborhood socioeconomic environment (NSEE) may contribute to an increased risk of type 2 diabetes (T2D). We examined whether the relationship between NSEE and T2D differs by sex and age in three study populations. Research design and methods We conducted a harmonized analysis using data from three independent longitudinal study samples in the US: 1) the Veteran Administration Diabetes Risk (VADR) cohort, 2) the REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, and 3) a case-control study of Geisinger electronic health records in Pennsylvania. We measured NSEE with a z-score sum of six census tract indicators within strata of community type (higher density urban, lower density urban, suburban/small town, and rural). Community type-stratified models evaluated the likelihood of new diagnoses of T2D in each study sample using restricted cubic splines and quartiles of NSEE. Results Across study samples, worse NSEE was associated with higher risk of T2D. We observed significant effect modification by sex and age, though evidence of effect modification varied by site and community type. Largely, stronger associations between worse NSEE and diabetes risk were found among women relative to men and among those less than age 45 in the VADR cohort. Similar modification by age group results were observed in the Geisinger sample in small town/suburban communities only and similar modification by sex was observed in REGARDS in lower density urban communities. Conclusions The impact of NSEE on T2D risk may differ for males and females and by age group within different community types.
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Affiliation(s)
- Jalal Uddin
- Department of Epidemiology, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, USA
- Department of Community Health and Epidemiology, Dalhousie University, Faculty of Medicine, Halifax, Canada
| | - Sha Zhu
- Department of Epidemiology, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, USA
| | - Samrachana Adhikari
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Cara M. Nordberg
- Department of Population Health Sciences, Geisinger, Danville, PA, USA
| | - Carrie R. Howell
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Gargya Malla
- Department of Epidemiology, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, USA
- Department of Internal Medicine, University of Arizona, Tucson, AZ, USA
| | - Suzanne E. Judd
- Department of Biostatistics, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
| | - Andrea L. Cherrington
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Pasquale E. Rummo
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Priscilla Lopez
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Rania Kanchi
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Karen Siegel
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Emory Global Diabetes Research Center, Emory University, Atlanta, GA, USA
| | - Shanika A. De Silva
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
| | - Yasemin Algur
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
| | - Gina S. Lovasi
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
- Urban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
| | - Nora L. Lee
- Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA
| | - April P. Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | | | - Lorna E. Thorpe
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - D. Leann Long
- Department of Biostatistics, University of Alabama at Birmingham School of Public Health, Birmingham, AL, USA
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Frigerio F, Muzzioli L, Pinto A, Donini LM, Poggiogalle E. The role of neighborhood inequalities on diabetes prevention care: a mini-review. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1292006. [PMID: 38047211 PMCID: PMC10690592 DOI: 10.3389/fcdhc.2023.1292006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023]
Abstract
An emerging research niche has focused on the link between social determinants of health and diabetes mellitus, one of the most prevalent non-communicable diseases in modern society. The aim of the present mini-review is to explore and summarize current findings in this field targeting high-income countries. In the presence of disadvantaged neighborhood factors (including socioeconomic status, food environment, walkability and neighborhood aesthetics), diabetes prevention and care are affected at a multidimensional level. The vast majority of the included studies suggest that, besides individual risk factors, aggregated neighborhood inequalities should be tackled to implement effective evidence-based policies for diabetes mellitus.
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Bush KJ, Papacosta AO, Lennon LT, Rankin J, Whincup PH, Wannamethee SG, Ramsay SE. Influence of neighborhood-level socioeconomic deprivation and individual socioeconomic position on risk of developing type 2 diabetes in older men: a longitudinal analysis in the British Regional Heart Study cohort. BMJ Open Diabetes Res Care 2023; 11:e003559. [PMID: 37907278 PMCID: PMC10619023 DOI: 10.1136/bmjdrc-2023-003559] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/06/2023] [Indexed: 11/02/2023] Open
Abstract
INTRODUCTION Evidence from longitudinal studies on the influence of neighborhood socioeconomic deprivation in older age on the development of type 2 diabetes mellitus (T2DM) is limited. This study investigates the prospective associations of neighborhood-level deprivation and individual socioeconomic position (SEP) with T2DM incidence in older age. RESEARCH DESIGN AND METHODS The British Regional Heart Study studied 4252 men aged 60-79 years in 1998-2000. Neighborhood-level deprivation was based on the Index of Multiple Deprivation quintiles for participants' 1998-2000 residential postcode. Individual SEP was defined as social class based on longest-held occupation. A cumulative score of individual socioeconomic factors was derived. Incident T2DM cases were ascertained from primary care records; prevalent cases were excluded. Cox proportional hazard models were used to examine the associations. RESULTS Among 3706 men, 368 incident cases of T2DM were observed over 18 years. The age-adjusted T2DM risk increased from the least deprived quintile to the most deprived: HR per quintile increase 1.14 (95% CI 1.06 to 1.23) (p=0.0005). The age-adjusted T2DM HR in social class V (lowest) versus social class I (highest) was 2.45 (95% CI 1.36 to 4.42) (p=0.001). Both associations attenuated but remained significant on adjustment for other deprivation measures, becoming non-significant on adjustment for body mass index and T2DM family history. T2DM risk increased with cumulative individual adverse socioeconomic factors: HR per point increase 1.14 (95% CI 1.05 to 1.24). CONCLUSIONS Inequalities in T2DM risk persist in later life, both in relation to neighborhood-level and individual-level socioeconomic factors. Underlying modifiable risk factors continue to need to be addressed in deprived older age populations to reduce disease burden.
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Affiliation(s)
- Kathryn J Bush
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - A Olia Papacosta
- Primary Care and Population Health, University College London, London, UK
| | - Lucy T Lennon
- Primary Care and Population Health, University College London, London, UK
| | - Judith Rankin
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Peter H Whincup
- Population Health Research Institute, St George's University of London, London, UK
| | - S Goya Wannamethee
- Primary Care and Population Health, University College London, London, UK
| | - Sheena E Ramsay
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Crawford B, Steck SE, Sandler DP, Merchant AT, Woo JMP, Park YMM. Dietary patterns, socioeconomic disparities, and risk of type 2 diabetes in the Sister Study. Diabetes Res Clin Pract 2023; 204:110906. [PMID: 37708977 PMCID: PMC10624134 DOI: 10.1016/j.diabres.2023.110906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/30/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023]
Abstract
AIMS We investigated the role of socioeconomic disparities in the association between diet and risk of type 2 diabetes (T2D). METHODS We used prospective data from 40,243 Sister Study participants aged 35 to 74 years who were enrolled in 2003-2009. Scores for healthy eating indices (alternate Mediterranean diet, Dietary Approaches to Stop Hypertension, alternative Healthy Eating Index, and Healthy Eating Index 2015 (HEI-2015)) were calculated using data from a 110-item food frequency questionnaire completed at enrollment. Incident T2D was defined based on self-reported physician's diagnosis or use of anti-diabetic medications. Multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. RESULTS We observed inverse associations between all four dietary indices and incident T2D after multivariable adjustment. These associations were most pronounced among women with higher educational attainment, higher income, and lower area deprivation index (ADI) (e.g., for the HEI-2015: low ADI, aHRQ4vsQ1: 0.44, 95% CI: 0.35, 0.56 vs high ADI, aHRQ4vsQ1: 0.75, 95% CI: 0.63, 0.90; pinteraction: 0.0007). CONCLUSIONS Weaker associations among women with lower socioeconomic status and higher neighborhood deprivation suggests that other factors play a larger role in T2D incidence than diet quality among individuals with low SES.
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Affiliation(s)
- Brittany Crawford
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Anwar T Merchant
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
| | - Jennifer M P Woo
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States
| | - Yong-Moon Mark Park
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States; Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, United States; Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
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Vo CQ, Samuelsen PJ, Sommerseth HL, Wisløff T, Wilsgaard T, Eggen AE. Comparing the sociodemographic characteristics of participants and non-participants in the population-based Tromsø Study. BMC Public Health 2023; 23:994. [PMID: 37248482 PMCID: PMC10226228 DOI: 10.1186/s12889-023-15928-w] [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: 09/28/2022] [Accepted: 05/17/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND Differences in the sociodemographic characteristics of participants and non-participants in population-based studies may introduce bias and reduce the generalizability of research findings. This study aimed to compare the sociodemographic characteristics of participants and non-participants of the seventh survey of the Tromsø Study (Tromsø7, 2015-16), a population-based health survey. METHODS A total of 32,591 individuals were invited to Tromsø7. We compared the sociodemographic characteristics of participants and non-participants by linking the Tromsø7 invitation file to Statistics Norway, and explored the association between these characteristics and participation using logistic regression. Furthermore, we created a geographical socioeconomic status (area SES) index (low-SES, medium-SES, and high-SES area) based on individual educational level, individual income, total household income, and residential ownership status. We then mapped the relationship between area SES and participation in Tromsø7. RESULTS Men, people aged 40-49 and 80-89 years, those who were unmarried, widowed, separated/divorced, born outside of Norway, had lower education, had lower income, were residential renters, and lived in a low-SES area had a lower probability of participation in Tromsø7. CONCLUSIONS Sociodemographic differences in participation must be considered to avoid biased estimates in research based on population-based studies, especially when the relationship between SES and health is being explored. Particular attention should be paid to the recruitment of groups with lower SES to population-based studies.
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Affiliation(s)
- Chi Quynh Vo
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway.
| | - Per-Jostein Samuelsen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
- Regional Medicines Information and Pharmacovigilance Centre (RELIS), University Hospital of North Norway, Tromsø, Norway
| | - Hilde Leikny Sommerseth
- The Norwegian Historical Data Centre, Department of Archaeology, History, Religious Studies and Theology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Torbjørn Wisløff
- Health Services Research Unit, Akershus University Hospital, Lørenskog, Norway
| | - Tom Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
| | - Anne Elise Eggen
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway
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Bennett M, Pistillo A, Recalde M, Reyes C, Freisling H, Duarte-Salles T. Time trends in the incidence of cardiovascular disease, hypertension and diabetes by sex and socioeconomic status in Catalonia, Spain: a population-based cohort study. BMJ Open 2023; 13:e066404. [PMID: 37225269 PMCID: PMC10230898 DOI: 10.1136/bmjopen-2022-066404] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 04/23/2023] [Indexed: 05/26/2023] Open
Abstract
OBJECTIVE We aimed to estimate how longitudinal trends in cardiovascular disease, hypertension and type 2 diabetes mellitus incidence in Catalonia, Spain from 2009 to 2018 may differ by age, sex and socioeconomic deprivation. DESIGN Cohort study using prospectively collected data. SETTING Electronic health records from primary healthcare centres in Catalonia, Spain. PARTICIPANTS 3 247 244 adults (≥40 years). OUTCOME MEASURES We calculated the annual incidence (per 1000 persons-year) and incidence rate ratios (IRR) between three time periods of cardiovascular disease, hypertension and type 2 diabetes mellitus to measure trends and changes in incidence during the study period. RESULTS In 2016-2018 compared with 2009-2012, cardiovascular disease incidence increased in the 40-54 (eg, IRR=1.61, 95% CI: 1.52 to 1.69 in women) and 55-69 age groups. There was no change in cardiovascular disease incidence in women aged 70+ years, and a slight decrease in men aged 70+ years (0.93, 0.90 to 0.95). Hypertension incidence decreased in all age groups for both sexes. Type 2 diabetes mellitus incidence decreased in all age groups for both sexes (eg, 0.72, 0.70 to 0.73 in women aged 55-69 years), except for the 40-54 year age group (eg, 1.09, 1.06 to 1.13 in women). Higher incidence levels were found in the most deprived areas, especially in the 40-54 and 55-69 groups. CONCLUSIONS Overall cardiovascular disease incidence has increased while hypertension and type 2 diabetes mellitus incidence have decreased in the last years in Catalonia, Spain, with differences in trends by age group and socioeconomic deprivation.
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Affiliation(s)
- Matthew Bennett
- IDIAP Jordi Gol, Barcelona, Catalunya, Spain
- Departament d'Antropologia, Filosofia i Treball Social, Universitat Rovira i Virgili, Tarragona, Catalunya, Spain
| | | | - Martina Recalde
- International Agency for Research on Cancer, Lyon, Rhône-Alpes, France
| | | | - Heinz Freisling
- International Agency for Research on Cancer, Lyon, Rhône-Alpes, France
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Cereijo L, Gullón P, Del Cura I, Valadés D, Bilal U, Franco M, Badland H. Exercise facility availability and incidence of type 2 diabetes and complications in Spain: A population-based retrospective cohort 2015-2018. Health Place 2023; 81:103027. [PMID: 37087897 DOI: 10.1016/j.healthplace.2023.103027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND To study the association between exercise facility availability and type 2 diabetes incidence and its complications, and to explore effect modification by socioeconomic status (SES) and sex in the Madrid adult population. METHODS A multilevel longitudinal design, based on a population-based retrospective cohort including 1,214,281 residents of Madrid (Spain) aged 40-75 years from 2015 to 2018. Outcomes were type 2 diabetes incidence and macrovascular (cardiac ischemia and/or stroke) and microvascular (chronic kidney disease, retinopathy, and/or peripheral vascular disease) complications in those with diabetes at baseline. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each participant's residence. Poisson regression models with robust standard errors were used to estimate the risk ratios (RR). Interactions were explored with SES tertiles and by sex. RESULTS Residents living in areas with lower exercise facility availability showed higher risk of type 2 diabetes (RRtertile3vs1 = 1.25, CI95% 1.21-1.30) as well as macrovascular (RRTertile3vs1 = 1.09 CI95% 1.00-1.19), and microvascular (RRTertile3vs1 = 1.10 CI95% 1.01-1.19) complications. Associations were strongest in low SES areas for type 2 diabetes (RRtertile3vs1-LOW-SES = 1.22, CI95% 1.12-1.32; RRtertile3vs1-HIGH-SES = 0.91, CI95% 0.85-0.98) and microvascular complications (RRtertile3vs1-LOW-SES = 1.12, CI95% 0,94-1,33; RRtertile3vs1-HIGH-SES = 0.88, CI95% 0.73-1.05). CONCLUSIONS Living in areas with lower availability of exercise facilities was associated with a greater risk of type 2 diabetes and its complications. Increasing exercise opportunities, particularly in low SES areas, could help reduce the social gradient of diabetes and its complications.
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Affiliation(s)
- Luis Cereijo
- Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de investigación en epidemiología y salud pública, Alcalá de Henares, Madrid, Spain; Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Grupo de investigación en gestión y entrenamiento deportivo, Alcalá de Henares, Madrid, Spain; Centre for Urban Research, RMIT University, Melbourne, Australia.
| | - Pedro Gullón
- Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de investigación en epidemiología y salud pública, Alcalá de Henares, Madrid, Spain; Centre for Urban Research, RMIT University, Melbourne, Australia.
| | - Isabel Del Cura
- Unidad de investigación de atención primaria, Gerencia de Atención Primaria, Madrid, Spain; Departamento de especialidades médicas y salud pública, University Rey Juan Carlos, Madrid, Spain; Red de Investigación en Servicios de Salud y Enfermedades Crónicas (REDISSEC) & Red de la Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPs) ISCIII, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañon. IiSGM, Madrid, Spain.
| | - David Valadés
- Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Grupo de investigación en gestión y entrenamiento deportivo, Alcalá de Henares, Madrid, Spain.
| | - Usama Bilal
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
| | - Manuel Franco
- Universidad de Alcalá, Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de investigación en epidemiología y salud pública, Alcalá de Henares, Madrid, Spain; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Hannah Badland
- Centre for Urban Research, RMIT University, Melbourne, Australia.
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Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties. J Urban Health 2022; 99:457-468. [PMID: 35484371 PMCID: PMC9187828 DOI: 10.1007/s11524-022-00632-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/18/2022] [Indexed: 10/18/2022]
Abstract
Area-level neighborhood socioeconomic status (NSES) is often measured without consideration of spatial autocorrelation and variation. In this paper, we compared a non-spatial NSES measure to a spatial NSES measure for counties in the USA using principal component analysis and geographically weighted principal component analysis (GWPCA), respectively. We assessed spatial variation in the loadings using a Monte Carlo randomization test. The results indicated that there was statistically significant variation (p = 0.004) in the loadings of the spatial index. The variability of the census variables explained by the spatial index ranged from 60 to 90%. We found that the first geographically weighted principal component explained the most variability in the census variables in counties in the Northeast and the West, and the least variability in counties in the Midwest. We also tested the two measures by assessing the associations with county-level diabetes prevalence using data from the CDC's US Diabetes Surveillance System. While associations of the two NSES measures with diabetes did not differ for this application, the descriptive results suggest that it might be important to consider a spatial index over a global index when constructing national county measures of NSES. The spatial approach may be useful in identifying what factors drive the socioeconomic status of a county and how they vary across counties. Furthermore, we offer suggestions on how a GWPCA-based NSES index may be replicated for smaller geographic scopes.
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Doubleday A, Knott CJ, Hazlehurst MF, Bertoni AG, Kaufman JD, Hajat A. Neighborhood greenspace and risk of type 2 diabetes in a prospective cohort: the Multi-Ethncity Study of Atherosclerosis. Environ Health 2022; 21:18. [PMID: 35034636 PMCID: PMC8762964 DOI: 10.1186/s12940-021-00824-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 12/22/2021] [Indexed: 05/25/2023]
Abstract
BACKGROUND Neighborhood greenspaces provide opportunities for increased physical activity and social interaction, and thus may reduce the risk of Type 2 diabetes. However, there is little robust research on greenspace and diabetes. In this study, we examine the longitudinal association between neighborhood greenspace and incident diabetes in the Multi-Ethnic Study of Atherosclerosis. METHODS A prospective cohort study (N = 6814; 2000-2018) was conducted to examine the association between greenspace, measured as annual and high vegetation season median greenness determined by satellite (Normalized Difference Vegetation Index) within 1000 m of participant homes, and incident diabetes assessed at clinician visits, defined as a fasting glucose level of at least 126 mg/dL, use of insulin or use of hypoglycemic medication, controlling for covariates in stages. Five thousand five hundred seventy-four participants free of prevalent diabetes at baseline were included in our analysis. RESULTS Over the study period, 886 (15.9%) participants developed diabetes. Adjusting for individual characteristics, individual and neighborhood-scale SES, additional neighborhood factors, and diabetes risk factors, we found a 21% decrease in the risk of developing diabetes per IQR increase in greenspace (HR: 0.79; 95% CI: 0.63, 0.99). CONCLUSIONS Overall, neighborhood greenspace provides a protective influence in the development of diabetes, suggesting that neighborhood-level urban planning that supports access to greenspace--along with healthy behaviors--may aid in diabetes prevention. Additional research is needed to better understand how an area's greenness influences diabetes risk, how to better characterize greenspace exposure and usage, and future studies should focus on robust adjustment for neighborhood-level confounders.
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Affiliation(s)
- Annie Doubleday
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
| | - Catherine J Knott
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Alain G Bertoni
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Joel D Kaufman
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Anjum Hajat
- Department of Epidemiology, University of Washington, Seattle, WA, USA
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Cereijo L, Gullón P, Del Cura I, Valadés D, Bilal U, Badland H, Franco M. Exercise facilities and the prevalence of obesity and type 2 diabetes in the city of Madrid. Diabetologia 2022; 65:150-158. [PMID: 34709424 PMCID: PMC8660723 DOI: 10.1007/s00125-021-05582-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/21/2021] [Indexed: 12/24/2022]
Abstract
AIMS/HYPOTHESIS We aimed to study the association between the availability of exercise facilities and the likelihood of obesity and type 2 diabetes in the adult population of Madrid, Spain. METHODS We analysed the electronic medical records of all 1,270,512 residents of Madrid aged 40-75 years in 2017. Exercise facility availability was defined as the count of exercise facilities in a 1000 m street network buffer around each residential building entrance. Poisson regression with standard errors clustered at census tract level was used to assess prevalence ratios of exercise facility availability tertiles and obesity and type 2 diabetes. We also examined stratified results by tertiles of area-level socioeconomic status (SES) and sex. RESULTS People living in areas with lower availability of exercise facilities had a higher prevalence of obesity (prevalence ratio [PR] 1.22 [95% CI 1.20, 1.25]) and diabetes (PR 1.38 [95% CI 1.34, 1.43]). We observed effect modification by area-level SES (p<0.001), with stronger associations for residents living in low-SES areas and no association for residents living in high-SES areas. Associations with type 2 diabetes were stronger among women compared with men, while associations with obesity were similar by sex. CONCLUSIONS/INTERPRETATION People living in areas with low availability of exercise facilities had a higher prevalence of obesity and type 2 diabetes, and this association was strongest in low-SES areas and for women. Understanding the potential role of exercise facilities in driving inequities in obesity and type 2 diabetes prevalence may inform interventions to reduce health inequities.
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Affiliation(s)
- Luis Cereijo
- Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain
- Facultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Grupo de investigación en gestión y entrenamiento deportivo, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain
- Centre for Urban Research, RMIT University, Melbourne, VIC, Australia
| | - Pedro Gullón
- Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain.
| | - Isabel Del Cura
- Gerencia de Atención Primaria, Unidad de Investigación de Atención Primaria, Madrid, Spain
- Departamento de Especialidades Médicas y Salud Pública, University Rey Juan Carlos, Madrid, Spain
- Red de Investigación en Servicios de Salud y Enfermedades Crónicas (REDISSEC) ISCIII, Madrid, Spain
| | - David Valadés
- Facultad de Medicina y Ciencias de la Salud, Departamento de Ciencias Biomédicas, Grupo de investigación en gestión y entrenamiento deportivo, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain
| | - Usama Bilal
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
- Department of Epidemiology and Biostatistics, Drexel Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Hannah Badland
- Centre for Urban Research, RMIT University, Melbourne, VIC, Australia
| | - Manuel Franco
- Facultad de Medicina y Ciencias de la Salud, Departamento de Cirugía, Ciencias Médicas y Sociales, Grupo de Investigación en Epidemiología y Salud Pública, Alcalá de Henares, Universidad de Alcalá, Madrid, Spain
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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15
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Wang J, Wild SH. Marked and widening socioeconomic inequalities in type 2 diabetes prevalence in Scotland. J Epidemiol Community Health 2021; 76:jech-2021-217747. [PMID: 34635549 DOI: 10.1136/jech-2021-217747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 10/02/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND This study investigated the association between socioeconomic status and type 2 diabetes (T2D) prevalence in Scotland in 2021 and tested the null hypothesis that inequalities had not changed since they were last described for 2001-2007. METHODS Data from a national population-based diabetes database for 35-to-84-year-olds in Scotland for 2021 and mid-year population estimates for 2019 stratified by sex and fifths of the Scottish Index of Multiple Deprivation were used to calculate age-specific prevalence of T2D. Age-standardised prevalence was estimated using the European Standard Population with relative risks (RRs) compared between the most (Q1) and least (Q5) deprived fifths for each sex, and compared against similar estimates from 2001 to 2007. RESULTS Complete data were available for 255 764 people (98.9%) with T2D. Age-standardised prevalence was lowest for women in Q5 (3.4%) and highest for men in Q1 (11.6%). RRs have increased from 2.00 (95% CI 1.52 to 2.62) in 2001-2007 to 2.48 (95% CI 2.43 to 2.53) in 2021 for women and from 1.58 (95% CI 1.20 to 2.07) in 2007 to 1.89 (95% CI 1.86 to 1.92) in 2021 for men. CONCLUSIONS Socioeconomic inequalities in T2D prevalence have widened between 2001-2007 and 2021. Further research is required to investigate potential medium-term effects of the COVID-19 pandemic.
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Affiliation(s)
- Jack Wang
- The University of Edinburgh College of Medicine and Veterinary Medicine, Edinburgh, UK
- The University of Edinburgh Medical School, Edinburgh, UK
| | - Sarah H Wild
- School of Social and Political Science, University of Edinburgh, Edinburgh, UK
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Dekker L, Rijnks R, Mierau J. The health potential of neighborhoods: A population-wide study in the Netherlands. SSM Popul Health 2021; 15:100867. [PMID: 34377761 PMCID: PMC8327128 DOI: 10.1016/j.ssmph.2021.100867] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 07/05/2021] [Accepted: 07/06/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND While differences in population health across neighborhoods with different socioeconomic characteristics are well documented, health disparities across neighborhoods with similar socioeconomic characteristics are less well understood. We aimed to estimate population health inequalities, both within and between neighborhoods with similar socioeconomic status, and assessed the association of neighborhood characteristics and socioeconomic spillover effects from adjacent neighborhoods. METHODS Based on Dutch whole-population data we determined the percentage of inhabitants with good or very good self-assessed health (SAH) and the percentage of inhabitants with at least one chronic disease (CD) in 11,504 neighborhoods. Neighborhoods were classified by quintiles of a composite neighborhoods socioeconomic status score (NSES). A set of spatial models was estimated accounting for spatial effects in the dependent, independent, and error components of the model. RESULTS Substantial population health disparities in SAH and CD both within and between neighborhoods NSES quintiles were observed, with the largest SAH variance in the lowest NSES group. Neighborhoods adjacent to higher SES neighborhoods showed a higher SAH and a lower prevalence of CD. Projected impacts from the spatial regressions indicate how modest changes in NSES among the lowest socioeconomic neighborhoods can contribute to population health in both low- and high-SES neighborhoods. CONCLUSION Population health differs substantially among neighborhoods with similar socioeconomic characteristics, which can partially be explained by a spatial socio-economic spillover effect.
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Affiliation(s)
- L.H. Dekker
- University Medical Center Groningen, Department of Nephrology, Hanzeplein 1, 9713, GZ, Groningen, the Netherlands,Aletta Jacobs School of Public Health, Landleven 1, 9747, AD, Groningen, the Netherlands
| | - R.H. Rijnks
- University College Cork, Cork University Business School, West Wing, Main Quadrangle, T12 K8AF, Ireland
| | - J.O. Mierau
- Aletta Jacobs School of Public Health, Landleven 1, 9747, AD, Groningen, the Netherlands,University of Groningen, Faculty of Economics and Business, Nettelbosje 2, 9747, AE, Groningen, the Netherlands,Corresponding author. Aletta Jacobs School of Public Health, Landleven 1, 9747, AD, Groningen, the Netherlands.
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17
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Gullón P, Díez J, Cainzos-Achirica M, Franco M, Bilal U. Social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain. GACETA SANITARIA 2021; 35:326-332. [PMID: 32674863 PMCID: PMC7985704 DOI: 10.1016/j.gaceta.2020.04.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/23/2020] [Accepted: 04/24/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To describe social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain. METHOD We used data from 20,406 individuals aged 18 or older from the 2017 Spanish National Health Survey. We measured socioeconomic position using occupational social class and used data on self-reported cardiovascular risk factors: high cholesterol, diabetes, hypertension, obesity, and smoking. We estimated the relative risk of inequality using Poisson regression models. Analyses were stratified by men and women and by region (autonomous communities). RESULTS Overall, the relative risk of inequality was 1.02, 1.13, 1.06, 1.17 and 1.09 for high cholesterol, diabetes, hypertension, obesity, and current smoking, respectively. Ocuupational social class inequities in diabetes, hypertension, and obesity was stronger for women. Results showed a large regional heterogeneity in these inequities; some regions (e.g. Asturias and Balearic Islands) presented wider social inequities in cardiovascular risk factors than others (e.g. Galicia, Navarra or Murcia). CONCLUSION In Spain, we found marked social inequities in the prevalence of cardiovascular risk factors, with wide regional and women/men heterogeneity in these inequities. Education, social, economic and health policies at the regional level could reduce health inequities in cardiovascular risk factors and, thus, prevent cardiovascular disease.
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Affiliation(s)
- Pedro Gullón
- Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain; Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA.
| | - Julia Díez
- Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain
| | - Miguel Cainzos-Achirica
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Manuel Franco
- Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Usama Bilal
- Public Health and Epidemiology Research Group, School of Medicine and Health Sciences, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain; Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health Drexel University, Philadelphia, PA, USA
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Tumas N, Rodríguez López S, Bilal U, Ortigoza AF, Diez Roux AV. Urban social determinants of non-communicable diseases risk factors in Argentina. Health Place 2021; 77:102611. [PMID: 34210611 PMCID: PMC8714870 DOI: 10.1016/j.healthplace.2021.102611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 06/11/2021] [Accepted: 06/15/2021] [Indexed: 11/20/2022]
Abstract
We examined associations of individual-, neighborhood- and city-level education -as proxies of SES at different levels-, with diabetes, hypertension, obesity, smoking and binge drinking (non-communicable disease risk factors -NCD/RF) among Argentinian adults. We estimated mixed models based on 21,415 individuals from the 2013 National Survey of Risk Factors, living in 2,698 neighborhoods and 33 cities. Gradients by individual-level education differed by gender and NCD/RF, and some were modified by city education. In addition, we identified contextual effects of neighborhood and city education on some NCD/RF. Urban efforts to tackle NCD/RF in Argentina should be context- and gender-sensitive, and mainly focused on socially disadvantaged groups.
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Affiliation(s)
- Natalia Tumas
- Departament de Ciències Polítiques i Socials, Universitat Pompeu Fabra, Barcelona, Spain; Centro de Investigaciones y Estudios sobre Cultura y Sociedad, Consejo Nacional de Investigaciones Científicas y Técnicas y Universidad Nacional de Córdoba, Argentina.
| | - Santiago Rodríguez López
- Centro de Investigaciones y Estudios sobre Cultura y Sociedad, Consejo Nacional de Investigaciones Científicas y Técnicas y Universidad Nacional de Córdoba, Argentina; Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Argentina.
| | - Usama Bilal
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA.
| | - Ana F Ortigoza
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, USA.
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Martínez-García A, Trescastro-López EM, Galiana-Sánchez ME, Llorens-Ivorra C, Pereyra-Zamora P. Cultural Adaptation and Evaluation of the Perceived Nutrition Environment Measures Survey to the Mediterranean Spanish Context (NEMS-P-MED). Nutrients 2020; 12:nu12113257. [PMID: 33114384 PMCID: PMC7693738 DOI: 10.3390/nu12113257] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 10/15/2020] [Accepted: 10/22/2020] [Indexed: 12/04/2022] Open
Abstract
Individuals’ perceptions of their food environments are a mediator between exposure to the environment and people’s interaction with it. The Nutrition Environment Measures Surveys (NEMS) are valid and reliable measures to assess food environments. In Spain, there is no adapted instrument to measure the perceived obesogenic environment. This article aims to adapt and evaluate the Perceived Nutrition Environment Measures Survey for a Spanish context (NEMS-P-MED). The Spanish version has 32 questions to measure the perception about availability, accessibility and marketing of 3 types of environment: home, shops and restaurants. We assess feasibility, construct validity and internal consistency reliability through a sample of 95 individuals. The internal consistency was acceptable for most items (Cronbach’s alpha coefficients range from 0.6 to 0.9), similar to that of the original scale. The NEMS-P-MED has been shown to be valid and, on certain items reliable, and was useful to assess the population’s perceptions of the food environment in the home, restaurants and food stores in a Spanish context. Adapting standardized measurement tools to specific contexts to assess the perceived and observed characteristics of food environments may facilitate the development of effective policy interventions to reduce excess weight.
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Affiliation(s)
- Alba Martínez-García
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain; (A.M.-G.); (M.E.G.-S.); (C.L.-I.); (P.P.-Z.)
| | - Eva María Trescastro-López
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain; (A.M.-G.); (M.E.G.-S.); (C.L.-I.); (P.P.-Z.)
- Correspondence: ; Tel.: +34-96-590-34-00 (ext. 3834)
| | - María Eugenia Galiana-Sánchez
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain; (A.M.-G.); (M.E.G.-S.); (C.L.-I.); (P.P.-Z.)
| | - Cristóbal Llorens-Ivorra
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain; (A.M.-G.); (M.E.G.-S.); (C.L.-I.); (P.P.-Z.)
- Public Health Center of Dénia (Alicante), Valencian Community, 03700 Alicante, Spain
| | - Pamela Pereyra-Zamora
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain; (A.M.-G.); (M.E.G.-S.); (C.L.-I.); (P.P.-Z.)
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Gervasi F, Murtas R, Decarli A, Russo AG. Residential distance from high-voltage overhead power lines and risk of Alzheimer's dementia and Parkinson's disease: a population-based case-control study in a metropolitan area of Northern Italy. Int J Epidemiol 2020; 48:1949-1957. [PMID: 31280302 PMCID: PMC6929536 DOI: 10.1093/ije/dyz139] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2019] [Indexed: 11/17/2022] Open
Abstract
Background The association between the extremely low-frequency magnetic field generated by overhead power lines and neurodegenerative disease is still a matter of debate. Methods A population-based case-control study was carried out on the residents in the Milan metropolitan area between 2011 and 2016 to evaluate the possible association between exposure to extremely low-frequency magnetic fields generated by high-voltage overhead power lines and Alzheimer's dementia and Parkinson's disease. A statistical analysis was performed on cases and controls matched by sex, year of birth and municipality of residence (with a case to controls ratio of 1 : 4) using conditional logistic regression models adjusted for socio-economic deprivation and distance from the major road network as potential confounders. Results Odds ratios for residents <50 m from the source of exposure compared with residents at ≥600 m turned out to be 1.11 (95% confidence interval: 0.95–1.30) for Alzheimer's dementia and 1.09 (95% confidence interval: 0.92–1.30) for Parkinson's disease. Conclusions The finding of a weak association between exposure to the extremely low-frequency magnetic field and neurodegenerative diseases suggests the continuation of research on this topic. Moreover, the low consistency between the results of the already existing studies emphasises the importance of increasingly refined study designs.
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Affiliation(s)
- Federico Gervasi
- Epidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy.,Laboratory of Medical Statistics, Biometrics, and Epidemiology "G A Maccacaro", Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Rossella Murtas
- Epidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy
| | - Adriano Decarli
- Epidemiology Unit, Agency for Health Protection of Milan, 20122 Milan, Italy
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Jacobs E, Tönnies T, Rathmann W, Brinks R, Hoyer A. Association between regional deprivation and type 2 diabetes incidence in Germany. BMJ Open Diabetes Res Care 2019; 7:e000857. [PMID: 31908802 PMCID: PMC6936410 DOI: 10.1136/bmjdrc-2019-000857] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 11/12/2019] [Accepted: 11/22/2019] [Indexed: 11/04/2022] Open
Abstract
Objective The aim of this analysis was to estimate the association between regional deprivation and type 2 diabetes incidence and to investigate differences by age and sex for Germany. Research design and methods Type 2 diabetes incidence rate ratios comparing the most deprived fifth of the population to the remainder of the population (divided into quintiles) were estimated using the illness-death model, which describes the relationship between prevalence, mortality, and incidence. For the analysis, we used the type 2 diabetes prevalence and the general mortality rate according to deprivation quintiles, which we calculated based on valid estimates for Germany. Because mortality rate ratios for people with type 2 diabetes compared with people without type 2 diabetes are lacking for Germany, we used estimates from Scotland. Estimates were standardized to the German population in 2012 and stratified by sex. Results Incidence of type 2 diabetes was estimated to be over twice as high among people living in the most deprived regions of Germany compared with people living in the least deprived regions (men: 2.41, 95% CI 1.27 to 4.28; women: 2.40, 95% CI 1.25 to 4.29). The strength of the association increased with increasing age until the age of 75 years. No sex differences were present. Conclusions The study adds new evidence regarding the association between type 2 diabetes incidence and regional deprivation for Germany. The results underpin the importance to intensify public health actions to reduce social inequalities in Germany and whole Europe in the future.
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Affiliation(s)
- Esther Jacobs
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Thaddäus Tönnies
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Ralph Brinks
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Hiller Research Unit for Rheumatology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Annika Hoyer
- Institute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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22
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Cheng C, Xin G, Xiaoli W, Chuanwei C, Xiaoming S, Yimin Z, Limei J, Ning C, Qian L, Hui W, Lan T, Zhaoxin W. Evaluation of the implementation and effect of the healthcare cloud information platform for diabetes self‐management: A case study in
Shanghai. Int J Health Plann Manage 2019; 34:986-997. [PMID: 31368129 DOI: 10.1002/hpm.2869] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Chen Cheng
- Business Division Department of Wonders Information Co., Ltd. Shanghai China
| | - Gong Xin
- Heart Failure Department of Shanghai East Hospital Affiliated to Tongji University Shanghai China
- School of MedicineTongji University Shanghai China
| | - Wang Xiaoli
- Pudong Institute for Health DevelopmentPudong Health Information Center Shanghai China
| | - Cao Chuanwei
- Business Division Department of Wonders Information Co., Ltd. Shanghai China
| | - Sun Xiaoming
- Pudong Institute for Health Development Shanghai China
| | - Zhang Yimin
- Pudong Institute for Health Development Shanghai China
| | - Jing Limei
- School of Public HealthShanghai University of Traditional Chinese Medicine Shanghai China
| | - Chen Ning
- School of MedicineTongji University Shanghai China
| | - Liu Qian
- School of MedicineTongji University Shanghai China
| | - Wang Hui
- School of Public HealthShanghai Jiao Tong University School of Medicine Shanghai China
| | - Tang Lan
- Weifang Community Health Service Center Shanghai China
| | - Wang Zhaoxin
- School of Public HealthShanghai Jiao Tong University School of Medicine Shanghai China
- General Practice CenterNanhai Hospital, Southern Medical University Guangdong China
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Socioeconomic Inequalities in the Retail Food Environment around Schools in a Southern European Context. Nutrients 2019; 11:nu11071511. [PMID: 31277242 PMCID: PMC6683257 DOI: 10.3390/nu11071511] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 06/25/2019] [Accepted: 07/02/2019] [Indexed: 12/14/2022] Open
Abstract
Across Europe, excess body weight rates are particularly high among children and adolescents living in Southern European contexts. In Spain, current food policies appeal to voluntary self-regulation of the food industry and parents’ responsibility. However, there is no research (within Spain) assessing the food environment surrounding schools. We examined the association between neighborhood-level socioeconomic status (NSES) and the spatial access to an unhealthy food environment around schools using both counts and distance measures, across the city of Madrid. We conducted a cross-sectional study citywide (n = 2443 census tracts). In 2017, we identified all schools (n = 1321) and all food retailers offering unhealthy food and beverages surrounding them (n = 6530) using publicly available data. We examined both the counts of retailers (within 400 m) and the distance (in meters) from the schools to the closest retailer. We used multilevel regressions to model the association of neighborhood-level socioeconomic status (NSES) with both measures, adjusting both models for population density. Almost all schools (95%) were surrounded by unhealthy retailers within 400 m (median = 17 retailers; interquartile range = 8–34). After adjusting for population density, NSES remained inversely associated with unhealthy food availability. Schools located in low-NSES areas (two lowest quintiles) showed, on average, 29% (IRR (Incidence Rate Ratio) = 1.29; 95% CI (Confidence Interval) = 1.12, 1.50) and 62% (IRR = 1.62; 95% CI = 1.35, 1.95) more counts of unhealthy retailers compared with schools in middle-NSES areas (ref.). Schools in high-NSES areas were farther from unhealthy food sources than those schools located in middle-NSES areas (β = 0.35; 95% CI = 0.14, 0.47). Regulating the school food environment (within and beyond school boundaries) may be a promising direction to prevent and reduce childhood obesity.
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Bilal U, Glass TA, Del Cura-Gonzalez I, Sanchez-Perruca L, Celentano DD, Franco M. Neighborhood social and economic change and diabetes incidence: The HeartHealthyHoods study. Health Place 2019; 58:102149. [PMID: 31220800 DOI: 10.1016/j.healthplace.2019.102149] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 05/09/2019] [Accepted: 05/31/2019] [Indexed: 10/26/2022]
Abstract
We studied the association between neighborhood social and economic change and type 2 diabetes incidence in the city of Madrid (Spain). We followed 199,621 individuals living in 393 census tracts for diabetes incidence for 6 years using electronic health records, starting in 2009. We measured neighborhood social and economic change from 2005 to 2009 using a finite mixture model with 16 indicators that resulted in four types of neighborhood change. Adjusted results showed an association between neighborhood change and diabetes incidence: compared to those living in Aging/Stable areas, people living in Declining SES, New Housing and Improving SES areas have an 8% (HR = 0.92, 95% CI 0.87 to 0.99), 9% (HR = 0.91, 95% CI 0.81 to 1.01) and 11% (HR = 0.89, 95% CI 0.81 to 0.98) decrease in diabetes incidence. This evidence can help guide policies for diabetes prevention by focusing efforts on specific urban areas.
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Affiliation(s)
- Usama Bilal
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Social and Cardiovascular Research Group, Universidad de Alcala, Alcala de Henares, Madrid, Spain; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Thomas A Glass
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Isabel Del Cura-Gonzalez
- Primary Care Research Unit, Gerencia de Atención Primaria, Madrid, Spain; Department Preventive Medicine and Public Health, University Rey Juan Carlos, Madrid, Spain; Red de Investigación en Servicios de Salud y Enfermedades Crónicas (REDISSEC) ISCIII, Madrid, Spain
| | - Luis Sanchez-Perruca
- Primary Care Research Unit, Gerencia de Atención Primaria, Madrid, Spain; Red de Investigación en Servicios de Salud y Enfermedades Crónicas (REDISSEC) ISCIII, Madrid, Spain
| | - David D Celentano
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Manuel Franco
- Social and Cardiovascular Research Group, Universidad de Alcala, Alcala de Henares, Madrid, Spain; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Bilal U, Cainzos-Achirica M, Cleries M, Santaeugènia S, Corbella X, Comin-Colet J, Vela E. Socioeconomic status, life expectancy and mortality in a universal healthcare setting: An individual-level analysis of >6 million Catalan residents. Prev Med 2019; 123:91-94. [PMID: 30853378 DOI: 10.1016/j.ypmed.2019.03.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 01/21/2019] [Accepted: 03/05/2019] [Indexed: 01/29/2023]
Abstract
We evaluated the association between individual-level socioeconomic status (SES), life expectancy, and mortality, in adult men and women from the general population living in Catalonia, a universal healthcare coverage setting. We used the Catalan Health Surveillance System database, which includes individual-level information on sociodemographic characteristics and mortality for all residents of Catalonia (Spain). We categorized individuals as high, medium, low or very low SES based on annual personal income and welfare receipt. We used 2016 mortality data to estimate life expectancy at age 18, and the probability of death by age, sex and SES categories. We followed a total of 6,027,424 Catalan residents in 2016. Men and women of very low SES had 12.0 and 9.4 years lower life expectancy compared to men and women of high SES, respectively. Low SES was also strongly associated with mortality in both men and women of any age. In the entire adult population of Catalonia, despite the availability of universal, high quality healthcare coverage, low SES is associated with lower life expectancy and higher mortality. Solutions to these large inequalities may combine tailored health promotion and management interventions, with solutions coming from outside of the health sector.
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Affiliation(s)
- Usama Bilal
- Urban Health Collaborative, Drexel Dornsife School of Public Health, Philadelphia, PA, USA; Social and Cardiovascular Epidemiology Research Group, School of Medicine, University of Alcala, Alcala de Henares, Madrid, Spain
| | - Miguel Cainzos-Achirica
- Pla Director de Malalties de l'Aparell Circulatori (PDMAC), Health Department of the Government of Catalonia, Catalonia, Spain; Community Heart Failure Program, Department of Cardiology, Bellvitge University Hospital and Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
| | - Montse Cleries
- Healthcare Information and Knowledge Unit, Health Department of the Government of Catalonia, Spain
| | - Sebastià Santaeugènia
- Chronicity Prevention and Care Programme, Health Department of the Government of Catalonia, Spain; Central Catalonia Chronicity Research Group (C3RG), Centre for Health and Social Care Research (CESS), Universitat de Vic, Vic, Spain
| | - Xavier Corbella
- Department of Internal Medicine, Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain; Hestia Chair in Integrated Health and Social Care, School of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Josep Comin-Colet
- Pla Director de Malalties de l'Aparell Circulatori (PDMAC), Health Department of the Government of Catalonia, Catalonia, Spain; Community Heart Failure Program, Department of Cardiology, Bellvitge University Hospital and Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Universitat de Barcelona, Barcelona, Spain
| | - Emili Vela
- Healthcare Information and Knowledge Unit, Health Department of the Government of Catalonia, Spain
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Afroz-Hossain A, Dawkins M, Myers AK. Sleep and Environmental Factors Affecting Glycemic Control in People with Type 2 Diabetes Mellitus. Curr Diab Rep 2019; 19:40. [PMID: 31144051 DOI: 10.1007/s11892-019-1159-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
PURPOSE OF REVIEW Sleep and environmental factors both impact glycemic control in persons with type 2 diabetes mellitus (T2DM). This narrative article aims to review research within the past 5 years, focusing on chronotype, light, noise, and neighborhood disparities in relation to sleep in people with T2DM. RECENT FINDINGS Sleep quality and duration have been shown to impact glycemic control in patients with T2DM. Later chronotype can lead to poorer glycemic control due to disruption of circadian rhythms. Light exposure also has similar effects, likely due to its inherent influence on sleep quality. Environmental determinants, were associated with lower T2DM incidence, and noise and air pollution were associated with increased risks for T2DM. Findings were mixed; while most studies found that later chronotype, light/noise exposure, and neighborhood disadvantages were associated with poorer glycemic control in patients with T2DM, other environmental factors, such as green space, were not significantly associated with diabetes outcomes.
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Affiliation(s)
- Anika Afroz-Hossain
- Department of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY, USA
| | - Makeda Dawkins
- Department of Medicine, SUNY Downstate College of Medicine, SUNY Downstate Medical Center, Brooklyn, NY, USA
| | - Alyson K Myers
- Department of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY, USA.
- Division of Endocrinology, Department of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY, USA.
- Feinstein Institute for Medical Research, Center for Health Innovations and Outcomes Research, Northwell Health, Manhasset, NY, USA.
- Donald and Barbara Zucker School of Medicine at Hoftsra/Northwell, Hempstead, NY, USA.
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