Prevalence of type 2 diabetes in psychiatric disorders: an umbrella review with meta-analysis of 245 observational studies from 32 systematic reviews.


Journal

Diabetologia
ISSN: 1432-0428
Titre abrégé: Diabetologia
Pays: Germany
ID NLM: 0006777

Informations de publication

Date de publication:
03 2022
Historique:
received: 26 04 2021
accepted: 01 09 2021
pubmed: 30 11 2021
medline: 1 4 2022
entrez: 29 11 2021
Statut: ppublish

Résumé

Estimates of the global prevalence of type 2 diabetes vary between 6% and 9%. The prevalence of type 2 diabetes has been investigated in psychiatric populations but a critical appraisal of the existing evidence is lacking, and an overview is needed. This umbrella review summarises existing systematic reviews of observational studies investigating the prevalence of type 2 diabetes in people with a psychiatric disorder. We searched PubMed, EMBASE, PsycINFO and the Cochrane Database of Systematic Reviews from inception to 17 January 2021 and screened reference lists of included systematic reviews. On the basis of prespecified criteria, we included systematic reviews investigating the prevalence of type 2 diabetes in adults (aged ≥18 years) with a psychiatric disorder. Titles and abstracts of 5155 identified records and full texts of 431 selected studies were screened by two independent reviewers, based on predefined eligibility criteria and an a priori developed extraction form, following the PRISMA and MOOSE guidelines. Risk of bias was assessed with the ROBIS instrument. Data extracted from primary studies were synthesised using random-effects meta-analyses. A total of 32 systematic reviews with 245 unique primary studies were identified and met inclusion criteria. Twelve had low risk of bias. They reported type 2 diabetes prevalence estimates ranging from 5% to 22% depending on the specific psychiatric disorder. We meta-analysed data for ten categories of psychiatric disorders and found the following prevalence estimates of type 2 diabetes: in people with a sleep disorder: 40%; binge eating disorder: 21%; substance use disorder: 16%; anxiety disorder: 14%; bipolar disorder: 11%; psychosis: 11%; schizophrenia: 10%; a mixed group of psychiatric disorders: 10%; depression: 9%; and in people with an intellectual disability 8%. All meta-analyses revealed high levels of heterogeneity. Type 2 diabetes is a common comorbidity in people with a psychiatric disorder. Future research should investigate whether routine screening for type 2 diabetes and subsequent prevention initiatives for these people are warranted. PROSPERO registration no. CRD42020159870.

Identifiants

pubmed: 34841451
doi: 10.1007/s00125-021-05609-x
pii: 10.1007/s00125-021-05609-x
doi:

Types de publication

Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

440-456

Subventions

Organisme : Medical Research Council
ID : R024227
Pays : United Kingdom
Organisme : Medical Research Council
ID : K013351
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : R01 AG056477
Pays : United States

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Références

Steel Z, Marnane C, Iranpour C et al (2014) The global prevalence of common mental disorders: a systematic review and meta-analysis 1980-2013. Int J Epidemiol 43(2):476–493. https://doi.org/10.1093/ije/dyu038
doi: 10.1093/ije/dyu038 pubmed: 24648481 pmcid: 3997379
Connell J, Brazier J, O’Cathain A, Lloyd-Jones M, Paisley S (2012) Quality of life of people with mental health problems: a synthesis of qualitative research. Health Qual Life Outcomes 10(1):138. https://doi.org/10.1186/1477-7525-10-138
doi: 10.1186/1477-7525-10-138 pubmed: 23173689 pmcid: 3563466
Walker ER, McGee RE, Druss BG (2015) Mortality in mental disorders and global disease burden implications: a systematic review and meta-analysis. JAMA Psychiatry 72(4):334–341. https://doi.org/10.1001/jamapsychiatry.2014.2502
doi: 10.1001/jamapsychiatry.2014.2502 pubmed: 25671328 pmcid: 4461039
Chesney E, Goodwin GM, Fazel S (2014) Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry 13(2):153–160. https://doi.org/10.1002/wps.20128
doi: 10.1002/wps.20128 pubmed: 24890068 pmcid: 4102288
Brown S, Kim M, Mitchell C, Inskip H (2010) Twenty-five year mortality of a community cohort with schizophrenia. Br J Psychiatry 196(2):116–121. https://doi.org/10.1192/bjp.bp.109.067512
doi: 10.1192/bjp.bp.109.067512 pubmed: 20118455 pmcid: 4560167
McGrath J, Saha S, Chant D, Welham J (2008) Schizophrenia: a concise overview of incidence, prevalence, and mortality. Epidemiol Rev 30:67–76. https://doi.org/10.1093/epirev/mxn001
doi: 10.1093/epirev/mxn001 pubmed: 18480098
Saha S, Chant D, McGrath J (2007) A systematic review of mortality in schizophrenia: is the differential mortality gap worsening over time? Arch Gen Psychiatry 64(10):1123–1131. https://doi.org/10.1001/archpsyc.64.10.1123
doi: 10.1001/archpsyc.64.10.1123 pubmed: 17909124
Mensah GA, Collins PY (2015) Understanding mental health for the prevention and control of cardiovascular diseases. Glob Heart 10(3):221–224. https://doi.org/10.1016/j.gheart.2015.08.003
doi: 10.1016/j.gheart.2015.08.003 pubmed: 26407518
Vancampfort D, Mitchell AJ, De Hert M et al (2015) Prevalence and predictors of type 2 diabetes mellitus in people with bipolar disorder: a systematic review and meta-analysis. J Clin Psychiatry 76(11):1490–1499. https://doi.org/10.4088/JCP.14r09635
doi: 10.4088/JCP.14r09635 pubmed: 26214054
Stubbs B, Vancampfort D, De Hert M, Mitchell AJ (2015) The prevalence and predictors of type two diabetes mellitus in people with schizophrenia: a systematic review and comparative meta-analysis. Acta Psychiatr Scand 132(2):144–157. https://doi.org/10.1111/acps.12439
doi: 10.1111/acps.12439 pubmed: 25943829
Vancampfort D, Mitchell AJ, De Hert M et al (2015) Type 2 diabetes in patients with major depressive disorder: a meta-analysis of prevalence estimates and predictors. Depress Anxiety 32(10):763–773. https://doi.org/10.1002/da.22387
doi: 10.1002/da.22387 pubmed: 26114259
Khan MAB, Hashim MJ, King JK, Govender RD, Mustafa H, Al KJ (2020) Global burden of disease and forecasted trends. J Epidemiol Glob Health 10(1):107–111. https://doi.org/10.2991/jegh.k.191028.001
doi: 10.2991/jegh.k.191028.001 pubmed: 32175717 pmcid: 7310804
Saeedi P, Petersohn I, Salpea P et al (2019) Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract 157:107843. https://doi.org/10.1016/j.diabres.2019.107843
doi: 10.1016/j.diabres.2019.107843 pubmed: 31518657
Lindekilde N, Scheuer S, Rutters F et al (2020) The prevalence of type 2 diabetes in people with psychiatric disorders: an umbrella review protocol. Sys Rev 9(1):101–101. https://doi.org/10.1186/s13643-020-01341-6
doi: 10.1186/s13643-020-01341-6
Moher D, Liberati A, Tetzlaff J, Altman DG, the PG, Group P (2009) Preferred reporting items for systematic reviews and Meta-analyses: the PRISMA statement. PLoS Med 6(7):e1000097. https://doi.org/10.1093/ptj/89.9.873
doi: 10.1093/ptj/89.9.873 pubmed: 19621072 pmcid: 19621072
Stroup DF, Berlin JA, Morton SC et al (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. JAMA 283(15):2008–2012. https://doi.org/10.1001/jama.283.15.2008
doi: 10.1001/jama.283.15.2008 pubmed: 10789670
American Psychiatric Association (2000) Diagnostic and statistical manual of mental disorders: DSM-IV-TR. American Psychiatric Association, Washington, DC
American Psychiatric Association (1980) Diagnostic and statistical manual of mental disorders: DSM-III. American Psychiatric Association, Washington, DC
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Association, Arlington, VA
doi: 10.1176/appi.books.9780890425596
World Health Organization (2009) The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines. World Health Organization, Geneva. https://doi.org/10.1067/j.cpsurg.2009.04.002
doi: 10.1067/j.cpsurg.2009.04.002
Barendregt JJ, Doi SA, Lee YY, Norman RE, Vos T (2013) Meta-analysis of prevalence. J Epidemiol Community Health 67(11):974–978. https://doi.org/10.1136/jech-2013-203104
doi: 10.1136/jech-2013-203104 pubmed: 23963506
Cochran WG (1954) The combination of estimates from different experiments. Biometrics 10:101–129. https://doi.org/10.2307/3001666
doi: 10.2307/3001666
Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21(11):1539–1558. https://doi.org/10.1002/sim.1186
doi: 10.1002/sim.1186 pubmed: 12111919
Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634. https://doi.org/10.1136/bmj.315.7109.629
doi: 10.1136/bmj.315.7109.629 pubmed: 9310563 pmcid: 2127453
Furuya-Kanamori L, Barendregt JJ, Doi SAR (2018) A new improved graphical and quantitative method for detecting bias in meta-analysis. Int J Evid Based Healthc 16(4):195–203. https://doi.org/10.1097/xeb.0000000000000141
doi: 10.1097/xeb.0000000000000141 pubmed: 29621038
EpiGear International Pty Ltd (2016) MetaXL: version 5.3. Available from https://www.epigear.com/indexfiles/metaxl.html . Accessed 1 Feb 2021
Whiting P, Savovic J, Higgins JP et al (2016) ROBIS: a new tool to assess risk of bias in systematic reviews was developed. J Clin Epidemiol 69:225–234. https://doi.org/10.1016/j.jclinepi.2015.06.005
doi: 10.1016/j.jclinepi.2015.06.005 pubmed: 26092286 pmcid: 4687950
Mitchell AJ, Vancampfort D, De Herdt A, Yu W, De Hert M (2013) Is the prevalence of metabolic syndrome and metabolic abnormalities increased in early schizophrenia? A comparative Meta-analysis of first episode, untreated and treated patients. Schizophr Bull 39(2):295–305. https://doi.org/10.1093/schbul/sbs082
doi: 10.1093/schbul/sbs082 pubmed: 22927670
Mitchell AJ, Vancampfort D, Sweers K, van Winkel R, Yu W, De Hert M (2013) Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders—a systematic review and Meta-analysis. Schizophr Bull 39(2):306–318. https://doi.org/10.1093/schbul/sbr148
doi: 10.1093/schbul/sbr148 pubmed: 22207632
Oud MJT, Meyboom-de Jong B (2009) Somatic diseases in patients with schizophrenia in general practice: their prevalence and health care. BMC Fam Pract 10(1):32–32. https://doi.org/10.1186/1471-2296-10-32
doi: 10.1186/1471-2296-10-32 pubmed: 19426545 pmcid: 2688496
van den Brink AMA, Gerritsen DL, Voshaar RCO, Koopmans RTCM (2013) Residents with mental–physical multimorbidity living in long-term care facilities: prevalence and characteristics. A systematic review. Int Psychogeriatr 25(4):531–548. https://doi.org/10.1017/S1041610212002025
doi: 10.1017/S1041610212002025 pubmed: 23206307
Ayano G (2019) Co-occurring medical and substance use disorders in patients with schizophrenia: a systematic review. Int J Ment Health 48(1):62–76. https://doi.org/10.1080/00207411.2019.1581047
doi: 10.1080/00207411.2019.1581047
Ma T, Mackinnon T, Dean K (2020) The prevalence of cardiometabolic disease in people with psychotic disorders in secure settings – a systematic review. J Forensic Psychiatry Psychol 1–27. https://doi.org/10.1080/14789949.2020.1859588
Charles EF, Lambert CG, Kerner B (2016) Bipolar disorder and diabetes mellitus: evidence for disease-modifying effects and treatment implications. Int J Bipolar Disord 4(1):1–11. https://doi.org/10.1186/s40345-016-0054-4
doi: 10.1186/s40345-016-0054-4
Lala SV, Sajatovic M (2012) Medical and psychiatric comorbidities among elderly individuals with bipolar disorder: a literature review. J Geriatr Psychiatry Neurol 25(1):20–25. https://doi.org/10.1177/0891988712436683
doi: 10.1177/0891988712436683 pubmed: 22467842
Ross GP, Falhammar H, Chen R, Barraclough H, Kleivenes O, Gallen I (2016) Relationship between depression and diabetes in pregnancy: a systematic review. World J Diabetes 7(19):554–571. https://doi.org/10.4239/wjd.v7.i19.554
doi: 10.4239/wjd.v7.i19.554 pubmed: 27895824 pmcid: 5107715
Dam MJ, Meijel B, Postma A, Oudman E (2020) Health problems and care needs in patients with Korsakoff’s syndrome: a systematic review. J Psychiatr Ment Health Nurs 27(4):460–481. https://doi.org/10.1111/jpm.12587
doi: 10.1111/jpm.12587 pubmed: 31876326
Vancampfort D, Mugisha J, Hallgren M et al (2016) The prevalence of diabetes mellitus type 2 in people with alcohol use disorders: a systematic review and large scale meta-analysis. Psychiatry Res 246:394–400. https://doi.org/10.1016/j.psychres.2016.10.010
doi: 10.1016/j.psychres.2016.10.010 pubmed: 27788459
Vancampfort D, Rosenbaum S, Ward PB et al (2016) Type 2 diabetes among people with posttraumatic stress disorder: systematic review and Meta-analysis. Psychosom Med 78(4):465–473. https://doi.org/10.1097/psy.0000000000000297
doi: 10.1097/psy.0000000000000297 pubmed: 26867081
Nieto-Martinez R, Gonzalez-Rivas JP, Medina-Inojosa JR, Florez H (2017) Are eating disorders risk factors for type 2 diabetes? A systematic review and Meta-analysis. Curr Diab Rep 17(12):138. https://doi.org/10.1007/s11892-017-0949-1
doi: 10.1007/s11892-017-0949-1 pubmed: 29168047
Olguin P, Fuentes M, Gabler G, Guerdjikova AI, Keck PE Jr, McElroy SL (2017) Medical comorbidity of binge eating disorder. Eat Weight Disord 22(1):13–26. https://doi.org/10.1007/s40519-016-0313-5
doi: 10.1007/s40519-016-0313-5 pubmed: 27553016
MacRae S, Brown M, Karatzias T et al (2015) Diabetes in people with intellectual disabilities: a systematic review of the literature. Res Dev Disabil 47:352–374. https://doi.org/10.1016/j.ridd.2015.10.003
doi: 10.1016/j.ridd.2015.10.003 pubmed: 26496008
McVilly K, McGillivray J, Curtis A, Lehmann J, Morrish L, Speight J (2014) Diabetes in people with an intellectual disability: a systematic review of prevalence, incidence and impact. Diabet Med 31(8):897–904. https://doi.org/10.1111/dme.12494
doi: 10.1111/dme.12494 pubmed: 24824086
Chung J, Miller BJ (2020) Meta-analysis of comorbid diabetes and family history of diabetes in non-affective psychosis. Schizophr Res 216:41–47. https://doi.org/10.1016/j.schres.2019.10.062
doi: 10.1016/j.schres.2019.10.062 pubmed: 31806529
Foley DL, Morley KI (2011) Systematic review of early Cardiometabolic outcomes of the first treated episode of psychosis. Arch Gen Psychiatry 68(6):609–616. https://doi.org/10.1001/archgenpsychiatry.2011.2
doi: 10.1001/archgenpsychiatry.2011.2 pubmed: 21300937
Guo J, Sun Y, Xue L-J et al (2016) Effect of CPAP therapy on cardiovascular events and mortality in patients with obstructive sleep apnea: a meta-analysis. Sleep Breath 20(3):965–974. https://doi.org/10.1007/s11325-016-1319-y
doi: 10.1007/s11325-016-1319-y pubmed: 26873722
Puthenpura MM, Hansrivijit P, Ghahramani N, Thongprayoon C, Cheungpasitporn W (2020) Chronic kidney disease and concomitant sleep apnea are associated with increased overall mortality: a meta-analysis. Int Urol Nephrol 52(12):2337–2343. https://doi.org/10.1007/s11255-020-02583-y
doi: 10.1007/s11255-020-02583-y pubmed: 32740787
Smith T, Maidment I, Hebding J et al (2014) Systematic review investigating the reporting of comorbidities and medication in randomized controlled trials of people with dementia. Age Ageing 43(6):868–872. https://doi.org/10.1093/ageing/afu100
doi: 10.1093/ageing/afu100 pubmed: 25038835
Janssen EM, McGinty EE, Azrin ST, Juliano-Bult D, Daumit GL (2015) Review of the evidence: prevalence of medical conditions in the United States population with serious mental illness. Gen Hosp Psychiatry 37(3):199–222. https://doi.org/10.1016/j.genhosppsych.2015.03.004
doi: 10.1016/j.genhosppsych.2015.03.004 pubmed: 25881768 pmcid: 4663043
Onyeka IN, Collier Høegh M, Eien EMN, Nwaru BI, Melle I (2019) Comorbidity of physical disorders among patients with severe mental illness with and without substance use disorders: a systematic review and Meta-analysis. J Dual Diagnosis 15(3):192–206. https://doi.org/10.1080/15504263.2019.1619007
doi: 10.1080/15504263.2019.1619007
Osborn DPJ, Wright CA, Levy G, King MB, Deo R, Nazareth I (2008) Relative risk of diabetes, dyslipidaemia, hypertension and the metabolic syndrome in people with severe mental illnesses: systematic review and metaanalysis. BMC Psychiatry 8(1):84–84. https://doi.org/10.1186/1471-244x-8-84
doi: 10.1186/1471-244x-8-84 pubmed: 18817565 pmcid: 2570660
Rigal A, Colle R, El Asmar K et al (2018) Framingham coronary score in individuals with symptoms or diagnoses of mental disorders: a review and meta-analysis. Psychiatry Res 263:41–47. https://doi.org/10.1016/j.psychres.2018.02.035
doi: 10.1016/j.psychres.2018.02.035 pubmed: 29494881
Roberts E, Jones L, Blackman A et al (2017) The prevalence of diabetes mellitus and abnormal glucose metabolism in the inpatient psychiatric setting: a systematic review and meta-analysis. Gen Hosp Psychiatry 45:76–84. https://doi.org/10.1016/j.genhosppsych.2017.01.003
doi: 10.1016/j.genhosppsych.2017.01.003 pubmed: 28274344
Vancampfort D, Correll CU, Galling B et al (2016) Diabetes mellitus in people with schizophrenia, bipolar disorder and major depressive disorder: a systematic review and large scale meta-analysis. World Psychiatry 15(2):166–174. https://doi.org/10.1002/wps.20309
doi: 10.1002/wps.20309 pubmed: 27265707 pmcid: 4911762
Barnard K, Peveler RC, Holt RI (2013) Antidepressant medication as a risk factor for type 2 diabetes and impaired glucose regulation: systematic review. Diabetes Care 36(10):3337–3345. https://doi.org/10.2337/dc13-0560
doi: 10.2337/dc13-0560 pubmed: 24065841 pmcid: 3781547
Young SL, Taylor M, Lawrie SM (2014) “First do no harm.” a systematic review of the prevalence and management of antipsychotic adverse effects. J Psychopharmacol 29(4):353–362. https://doi.org/10.1177/0269881114562090
doi: 10.1177/0269881114562090 pubmed: 25516373
Bonsignore MR, Baiamonte P, Mazzuca E, Castrogiovanni A, Marrone O (2019) Obstructive sleep apnea and comorbidities: a dangerous liaison. Multidiscip Respir Med 14(1):8. https://doi.org/10.1186/s40248-019-0172-9
doi: 10.1186/s40248-019-0172-9 pubmed: 30809382 pmcid: 6374907
Jehan S, Zizi F, Pandi-Perumal SR et al (2017) Obstructive sleep apnea and obesity: implications for public health. Sleep Med Disord 1(4):00019
pubmed: 29517065 pmcid: 5836788
Barone MT, Menna-Barreto L (2011) Diabetes and sleep: a complex cause-and-effect relationship. Diabetes Res Clin Pract 91(2):129–137. https://doi.org/10.1016/j.diabres.2010.07.011
doi: 10.1016/j.diabres.2010.07.011 pubmed: 20810183
Wild S, Roglic G, Green A, Sicree R, King H (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5):1047–1053. https://doi.org/10.2337/diacare.27.5.1047
doi: 10.2337/diacare.27.5.1047 pubmed: 15111519
Whiting DR, Guariguata L, Weil C, Shaw J (2011) IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 94(3):311–321. https://doi.org/10.1016/j.diabres.2011.10.029
doi: 10.1016/j.diabres.2011.10.029 pubmed: 22079683
Carstensen B, Rønn PF, Jørgensen ME (2020) Components of diabetes prevalence in Denmark 1996–2016 and future trends until 2030. BMJ Open Diabetes Res Care 8(1):e001064. https://doi.org/10.1136/bmjdrc-2019-001064
doi: 10.1136/bmjdrc-2019-001064 pubmed: 32784246 pmcid: 7418686
Braslow JT, Marder SR (2019) History of psychopharmacology. Annu Rev Clin Psychol 15:25–50. https://doi.org/10.1146/annurev-clinpsy-050718-095514
doi: 10.1146/annurev-clinpsy-050718-095514 pubmed: 30786241
Holt RI, Mitchell AJ (2015) Diabetes mellitus and severe mental illness: mechanisms and clinical implications. Nat Rev Endocrinol 11(2):79–89. https://doi.org/10.1038/nrendo.2014.203
doi: 10.1038/nrendo.2014.203 pubmed: 25445848
Tabák AG, Akbaraly TN, Batty GD, Kivimäki M (2014) Depression and type 2 diabetes: a causal association? Lancet Diabetes Endocrinol 2(3):236–245. https://doi.org/10.1016/S2213-8587(13)70139-6
doi: 10.1016/S2213-8587(13)70139-6 pubmed: 24622754
Moulton CD, Pickup JC, Ismail K (2015) The link between depression and diabetes: the search for shared mechanisms. Lancet Diabetes Endocrinol 3(6):461–471. https://doi.org/10.1016/S2213-8587(15)00134-5
doi: 10.1016/S2213-8587(15)00134-5 pubmed: 25995124
Pillinger T, Beck K, Gobjila C, Donocik JG, Jauhar S, Howes OD (2017) Impaired glucose homeostasis in first-episode schizophrenia: a systematic review and Meta-analysis. JAMA Psychiatry 74(3):261–269. https://doi.org/10.1001/jamapsychiatry.2016.3803
doi: 10.1001/jamapsychiatry.2016.3803 pubmed: 28097367 pmcid: 6352957
Nouwen A, Winkley K, Twisk J et al (2010) Type 2 diabetes mellitus as a risk factor for the onset of depression: a systematic review and meta-analysis. Diabetologia 53(12):2480–2486. https://doi.org/10.1007/s00125-010-1874-x
doi: 10.1007/s00125-010-1874-x pubmed: 20711716 pmcid: 2974923
Blaslov K, Naranđa FS, Kruljac I, Renar IP (2018) Treatment approach to type 2 diabetes: past, present and future. World J Diabetes 9(12):209–219. https://doi.org/10.4239/wjd.v9.i12.209
doi: 10.4239/wjd.v9.i12.209 pubmed: 30588282 pmcid: 6304295
Borodulin K, Laatikainen T, Juolevi A, Jousilahti P (2007) Thirty-year trends of physical activity in relation to age, calendar time and birth cohort in Finnish adults. Eur J Pub Health 18(3):339–344. https://doi.org/10.1093/eurpub/ckm092
doi: 10.1093/eurpub/ckm092
Bentley J (2017) U.S. Trends in Food Availability and a Dietary Assessment of Loss-Adjusted Food Availability, 1970–2014. In: EIB-166, U.S. Department of Agriculture, Washington, D.C., Economic Research Service
Cummings KM, Proctor RN (2014) The changing public image of smoking in the United States: 1964-2014. Cancer Epidemiol Biomark Prev 23(1):32–36. https://doi.org/10.1158/1055-9965.EPI-13-0798
doi: 10.1158/1055-9965.EPI-13-0798
American Diabetes A (2018) 2. Classification and diagnosis of diabetes: standards of medical Care in Diabetes—2019. Diabetes Care 42(Supplement 1):S13–S28. https://doi.org/10.2337/dc19-s002
doi: 10.2337/dc19-s002
De Hert M, Dekker JM, Wood D, Kahl KG, Holt RI, Moller HJ (2009) Cardiovascular disease and diabetes in people with severe mental illness position statement from the European psychiatric association (EPA), supported by the European Association for the Study of diabetes (EASD) and the European Society of Cardiology (ESC). European Psychiatry 24(6):412–424. https://doi.org/10.1016/j.eurpsy.2009.01.005
doi: 10.1016/j.eurpsy.2009.01.005 pubmed: 19682863

Auteurs

Nanna Lindekilde (N)

Department of Psychology, University of Southern Denmark, Odense, Denmark. nlindekilde@health.sdu.dk.

Stine H Scheuer (SH)

Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Femke Rutters (F)

Epidemiology and Data Science, Amsterdam Public Health Institute, Amsterdam UMC, location VUMC, Amsterdam, the Netherlands.

Lenette Knudsen (L)

Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Mathias Lasgaard (M)

DEFACTUM - Public Health & Health Services Research, Central Denmark Region, Aarhus, Denmark.

Katrine H Rubin (KH)

OPEN - Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark.
Department of Clinical Research, University of Southern Denmark, Odense, Denmark.

Jan Erik Henriksen (JE)

Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.

Mika Kivimäki (M)

Department of Epidemiology and Public Health, University of College London, London, UK.

Gregers S Andersen (GS)

Steno Diabetes Center Copenhagen, Gentofte, Denmark.

Frans Pouwer (F)

Department of Psychology, University of Southern Denmark, Odense, Denmark.
Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
School of Psychology, Deakin University, Geelong, Australia.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH