[1] Bilal, U, Auchincloss, AH, Diez-Roux, AV. Neighborhood environments and diabetes risk and control. Curr Diab Rep 2018;18:62.
Google Scholar | Crossref | Medline[2] Connolly, V, Unwin, N, Sherriff, P, et al. Diabetes prevalence and socioeconomic status: A population based study showing increased prevalence of type 2 diabetes mellitus in deprived areas. J Epidemiol Community Health 2000;54:173–7.
Google Scholar | Crossref | Medline[3] Hipp, JA, Chalise, N. Spatial analysis and correlates of county-level diabetes prevalence, 2009–2010. Prev Chronic Dis 2015;12:140104.
Google Scholar | Crossref[4] Pickett, KE, Pearl, M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: A critical review. J Epidemiol Community Health 2001;55:111–22.
Google Scholar | Crossref | Medline[5] Cockerham, WC, Hamby, BW, Oates, GR. The social determinants of chronic disease. Am J Prev Med 2017;52:S5–12.
Google Scholar | Crossref[6] Diderichsen, F, Andersen, I, Manuel, C, et al. Health inequality – determinants and policies. Scand J Public Health 2012;40:12–105.
Google Scholar | SAGE Journals | ISI[7] Macintyre, S, Maciver, S, Sooman, A. Area, class and health: Should we be focusing on places or people? J Soc Pol 1993; 22:213–33.
Google Scholar | Crossref | Medline[8] Sundhedsministeriet [The Danish Ministry of Health] . Ulighed i sundhed [Inequality in health], https://sum.dk/temaer/ulighed-i-sundhed (2021, accessed 21 September 2021).
Google Scholar[9] Ministry of Health . Den nationale diabeteshandlingsplan [The national diabetes action plan]. Report, Ministry of Health (Sundheds- og ældreministeriet), 2017.
Google Scholar[10] Frølich, A, Jacobsen, R, Knai, C. Denmark. In: Nolte, E, Knai, C (eds) Assessing chronic disease management in European health systems: Country reports. Geneva: World Health Organization, European Observatory on Health Systems and Policies, 2015.
Google Scholar[11] Wagner, EH, Austin, BT, Davis, C, et al. Improving chronic illness care: Translating evidence into action. Health Affairs 2001;20:64–78.
Google Scholar | Crossref | Medline | ISI[12] Hessler, D, Bowyer, V, Gold, R, et al. Bringing social context into diabetes care: Intervening on social risks versus providing contextualized care. Curr Diab Rep 2019;19:30.
Google Scholar | Crossref | Medline[13] Asaria, M, Ali, S, Doran, T, et al. How a universal health system reduces inequalities: Lessons from England. J Epidemiol Community Health 2016;70:637–43.
Google Scholar | Crossref[14] Indenrigs- og Boligministeriet [Ministry of the Interior and Housing] . Indenrigs- og Boligministeriets Kommunale Nøgletal, www.noegletal.dk/ (2021, accessed 25 May 2021).
Google Scholar[15] Økonomi og indenrigsministeriet [Ministry of Economic Affairs and the Interior] . Kommunal udligning og generelle tilskud 2018 [Municipal equilisation and general transfers]. Report, 2017.
Google Scholar[16] Meijer, M, Engholm, G, Grittner, U, et al. A socioeconomic deprivation index for small areas in Denmark. Scand J Public Health 2013;41:560–9.
Google Scholar | SAGE Journals[17] Sundhedsdatastyrelsen [Danish Health Data Authority] . Udvalgte kroniske sygdomme og svære psykiske lidelser. eSundhed.dk, www.esundhed.dk/Registre/Register-for-udvalgte-kroniske-sygdomme (2021, accessed 28 May 2021). Data is accessed under the heading “Tabel over sygdomsforekomst”; information on standardisation and source data can be accessed under the heading “Information”.
Google Scholar[18] Harper, S, Lynch, J. Measuring health inequalities. In: Oakes, JM, Kaufman, JS (eds) Methods in Social Epidemiology. San Francisco, CA: Jossey-Bass Professional Learning, 2006, pp. 134–68.
Google Scholar[19] Wooldridge, J . Introductory econometrics: A modern approach. 3rd ed. Thomson South-Western, 2006, pp. 461–466.
Google Scholar[20] Agardh, E, Allebeck, P, Hallqvist, J, et al. Type 2 diabetes incidence and socio-economic position: A systematic review and meta-analysis. Int J Epidemiol 2011;40:804–18.
Google Scholar | Crossref | Medline[21] Sedgwick, P . Ecological studies: Advantages and disadvantages. BMJ 2014;348:g2979.
Google Scholar | Crossref | Medline[22] Pedersen, AF, Vedsted, P. Understanding the inverse care law: A register and survey-based study of patient deprivation and burnout in general practice. Int J Equity Health 2014;13:121.
Google Scholar | Crossref | Medline[23] Sundhedsdatastyrelsen [Danish Health Data Authority] . Algoritmer for RUKS. Documentation Report, 2018.
Google Scholar[24] Galobardes, B, Shaw, M, Lawlor, DA, et al. Indicators of socioeconomic position. In: Oakes, JM, Kaufman, JS (eds) Methods in Social Epidemiology. San Francisco, CA: Jossey-Bass Professional Learning, 2006.
Google Scholar[25] Hirsch, AG, Durden, TE, Nordberg, C, et al. Associations of four community factors with longitudinal change in hemoglobin A1c levels in patients with type 2 diabetes. Diabetes Care 2018;41:461–8.
Google Scholar | Crossref[26] Sortsø, C, Lauridsen, J, Emneus, M, et al. Social inequality in diabetes patients’ morbidity patterns from diagnosis to death – A Danish register-based investigation. Scand J of Public Health 2018;46:92–101.
Google Scholar | SAGE Journals | ISI[27] Rawshani, A, Svensson, A-M, Zethelius, B, et al. Association between socioeconomic status and mortality, cardiovascular disease, and cancer in patients with type 2 diabetes. JAMA Intern Med 2016;176:1146–54.
Google Scholar | Crossref | Medline[28] Braveman, P, Gruskin, S. Defining equity in health. J Epidemiol Community Health 2003;57:254–258.
Google Scholar | Crossref | Medline | ISI[29] Holt Udesen, C, Skaarup, C, Petersen, MNS, et al. Social ulighed i sundhed og sygdom. Sundhedsstyrelsen & Statens Institut for Folkesundhed, 2020.
Google Scholar[30] Bambra, C . Health inequalities and welfare state regimes: Theoretical insights on a public health ‘puzzle’. J Epidemiol Community Health 2011;65:740–5.
Google Scholar | Crossref