Literature DB >> 22736421

Lower educational level is a predictor of incident type 2 diabetes in European countries: the EPIC-InterAct study.

Carlotta Sacerdote1, Fulvio Ricceri, Olov Rolandsson, Ileana Baldi, Maria-Dolores Chirlaque, Edith Feskens, Benedetta Bendinelli, Eva Ardanaz, Larraitz Arriola, Beverley Balkau, Manuela Bergmann, Joline W J Beulens, Heiner Boeing, Françoise Clavel-Chapelon, Francesca Crowe, Blandine de Lauzon-Guillain, Nita Forouhi, Paul W Franks, Valentina Gallo, Carlos Gonzalez, Jytte Halkjær, Anne-Kathrin Illner, Rudolf Kaaks, Timothy Key, Kay-Tee Khaw, Carmen Navarro, Peter M Nilsson, Susanne Oksbjerg Dal Ton, Kim Overvad, Valeria Pala, Domenico Palli, Salvatore Panico, Silvia Polidoro, J Ramón Quirós, Isabelle Romieu, María-José Sánchez, Nadia Slimani, Ivonne Sluijs, Annemieke Spijkerman, Birgit Teucher, Anne Tjønneland, Rosario Tumino, Daphne van der A, Anne-Claire Vergnaud, Patrik Wennberg, Stephen Sharp, Claudia Langenberg, Elio Riboli, Paolo Vineis, Nicholas Wareham.   

Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) is one of the most common chronic diseases worldwide. In high-income countries, low socioeconomic status seems to be related to a high incidence of T2DM, but very little is known about the intermediate factors of this relationship. Method We performed a case-cohort study in eight Western European countries nested in the EPIC study (n = 340, 234, 3.99 million person-years of follow-up). A random sub-cohort of 16,835 individuals and a total of 12,403 incident cases of T2DM were identified. Crude and multivariate-adjusted hazard ratios (HR) were estimated for each country and pooled across countries using meta-analytical methods. Age-, gender- and country-specific relative indices of inequality (RII) were used as the measure of educational level and RII tertiles were analysed.
RESULTS: Compared with participants with a high educational level (RII tertile 1), participants with a low educational level (RII tertile 3) had a higher risk of T2DM [HR: 1.77, 95% confidence interval (CI): 1.69-1.85; P-trend < 0.01]. The HRs adjusted for physical activity, smoking status and propensity score according to macronutrient intake were very similar to the crude HR (adjusted HR: 1.67, 95% CI: 1.52-1.83 in men; HR: 1.88, 95% CI: 1.73-2.05 in women). The HRs were attenuated only when they were further adjusted for BMI (BMI-adjusted HR: 1.36, 95% CI: 1.23-1.51 in men; HR: 1.32, 95% CI: 1.20-1.45 in women).
CONCLUSION: This study demonstrates the inequalities in the risk of T2DM in Western European countries, with an inverse relationship between educational level and risk of T2DM that is only partially explained by variations in BMI.

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Year:  2012        PMID: 22736421     DOI: 10.1093/ije/dys091

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  56 in total

1.  Secular trends and educational differences in the incidence of type 2 diabetes in Finland, 1972-2007.

Authors:  Marian Abouzeid; Katja Wikström; Markku Peltonen; Jaana Lindström; Katja Borodulin; Ossi Rahkonen; Tiina Laatikainen
Journal:  Eur J Epidemiol       Date:  2015-04-03       Impact factor: 8.082

2.  Educational attainment protects against type 2 diabetes independently of cognitive performance: a Mendelian randomization study.

Authors:  Jialin Liang; Huan Cai; Ganxiong Liang; Zhonghua Liu; Liang Fang; Baile Zhu; Baoying Liu; Hao Zhang
Journal:  Acta Diabetol       Date:  2021-01-06       Impact factor: 4.280

3.  Socioeconomic status and prevalence of self-reported diabetes among adults in Tehran: results from a large population-based cross-sectional study (Urban HEART-2).

Authors:  M Asadi-Lari; A Khosravi; S Nedjat; M A Mansournia; R Majdzadeh; K Mohammad; M R Vaez-Mahdavi; S Faghihzadeh; A A Haeri Mehrizi; B Cheraghian
Journal:  J Endocrinol Invest       Date:  2015-09-10       Impact factor: 4.256

4.  Study protocol: a pragmatic, stepped-wedge trial of tailored support for implementing social determinants of health documentation/action in community health centers, with realist evaluation.

Authors:  Rachel Gold; Arwen Bunce; Erika Cottrell; Miguel Marino; Mary Middendorf; Stuart Cowburn; Dagan Wright; Ned Mossman; Katie Dambrun; Byron J Powell; Inga Gruß; Laura Gottlieb; Marla Dearing; Jason Scott; Nadia Yosuf; Molly Krancari
Journal:  Implement Sci       Date:  2019-01-28       Impact factor: 7.327

5.  Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries.

Authors:  Jacqueline A Seiglie; Maja-Emilia Marcus; Cara Ebert; Nikolaos Prodromidis; Pascal Geldsetzer; Michaela Theilmann; Kokou Agoudavi; Glennis Andall-Brereton; Krishna K Aryal; Brice Wilfried Bicaba; Pascal Bovet; Garry Brian; Maria Dorobantu; Gladwell Gathecha; Mongal Singh Gurung; David Guwatudde; Mohamed Msaidié; Corine Houehanou; Dismand Houinato; Jutta Mari Adelin Jorgensen; Gibson B Kagaruki; Khem B Karki; Demetre Labadarios; Joao S Martins; Mary T Mayige; Roy Wong-McClure; Joseph Kibachio Mwangi; Omar Mwalim; Bolormaa Norov; Sarah Quesnel-Crooks; Bahendeka K Silver; Lela Sturua; Lindiwe Tsabedze; Chea Stanford Wesseh; Andrew Stokes; Rifat Atun; Justine I Davies; Sebastian Vollmer; Till W Bärnighausen; Lindsay M Jaacks; James B Meigs; Deborah J Wexler; Jennifer Manne-Goehler
Journal:  Diabetes Care       Date:  2020-02-12       Impact factor: 19.112

6.  Effects of long-term exposure to air pollution on the incidence of type 2 diabetes mellitus: a meta-analysis of cohort studies.

Authors:  Mei Yang; Han Cheng; Chaowei Shen; Jie Liu; Hongkai Zhang; Jiyu Cao; Rui Ding
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-06       Impact factor: 4.223

7.  Socio-environmental factors associated with diabetes mellitus among patients hospitalized with schizophrenia in Japan.

Authors:  Junya Sado; Tetsuhisa Kitamura; Norio Noma; Makiko Saito; Hitoshi Azuma; Tsukasa Azuma; Tomotaka Sobue; Yuri Kitamura
Journal:  Environ Health Prev Med       Date:  2016-07-22       Impact factor: 3.674

8.  Incident Type 2 Diabetes Risk is Influenced by Obesity and Diabetes in Social Contacts: a Social Network Analysis.

Authors:  Sridharan Raghavan; Mark C Pachucki; Yuchiao Chang; Bianca Porneala; Caroline S Fox; Josée Dupuis; James B Meigs
Journal:  J Gen Intern Med       Date:  2016-05-04       Impact factor: 5.128

9.  Adoption of Social Determinants of Health EHR Tools by Community Health Centers.

Authors:  Rachel Gold; Arwen Bunce; Stuart Cowburn; Katie Dambrun; Marla Dearing; Mary Middendorf; Ned Mossman; Celine Hollombe; Peter Mahr; Gerardo Melgar; James Davis; Laura Gottlieb; Erika Cottrell
Journal:  Ann Fam Med       Date:  2018-09       Impact factor: 5.166

10.  The association of cortisol curve features with incident diabetes among whites and African Americans: The CARDIA study.

Authors:  Bjorn Kluwe; Robin Ortiz; James B Odei; Songzhu Zhao; David Kline; Guy Brock; Justin B Echouffo-Tcheugui; Ju-Mi Lee; Sophie Lazarus; Teresa Seeman; Philip Greenland; Belinda Needham; Mercedes R Carnethon; Sherita H Golden; Joshua J Joseph
Journal:  Psychoneuroendocrinology       Date:  2020-11-04       Impact factor: 4.905

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