Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-28T04:45:20.813Z Has data issue: false hasContentIssue false

Depression and physical health multimorbidity: primary data and country-wide meta-analysis of population data from 190 593 people across 43 low- and middle-income countries

Published online by Cambridge University Press:  04 April 2017

B. Stubbs*
Affiliation:
Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, UK
D. Vancampfort
Affiliation:
KU Leuven Department of Rehabilitation Sciences, Leuven, Belgium KU Leuven, University Psychiatric Center KU Leuven, Leuven-Kortenberg, Belgium
N. Veronese
Affiliation:
Geriatrics Division, Department of Medicine-DIMED, University of Padova, Padova, Italy Institute of Clinical Research and Education in Medicine (IREM), Padova, Italy
K. G. Kahl
Affiliation:
Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
A. J. Mitchell
Affiliation:
Department of Cancer and Molecular Medicine, University of Leicester, Leicester, UK
P.-Y. Lin
Affiliation:
Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan Institute for Translational Research in Biomedical Sciences, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
P.-T. Tseng
Affiliation:
Department of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai's Home, Taiwan
J. Mugisha
Affiliation:
Kyambogo University, Kampala, Uganda Butabika National Referral and Mental Health Hospital, Kampala, Uganda
M. Solmi
Affiliation:
Department of Neurosciences, University of Padova, Padova, Italy
A. F. Carvalho
Affiliation:
Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE 60430-040, Brazil
A. Koyanagi
Affiliation:
Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona 08830, Spain Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5 Pabellón 11, Madrid 28029, Spain
*
*Address for correspondence: B. Stubbs, Ph.D., Physiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK. (Email: brendon.stubbs@kcl.ac.uk)

Abstract

Background

Despite the known heightened risk and burden of various somatic diseases in people with depression, very little is known about physical health multimorbidity (i.e. two or more physical health co-morbidities) in individuals with depression. This study explored physical health multimorbidity in people with clinical depression, subsyndromal depression and brief depressive episode across 43 low- and middle-income countries (LMICs).

Method

Cross-sectional, community-based data on 190 593 individuals from 43 LMICs recruited via the World Health Survey were analysed. Multivariable logistic regression analysis was done to assess the association between depression and physical multimorbidity.

Results

Overall, two, three and four or more physical health conditions were present in 7.4, 2.4 and 0.9% of non-depressive individuals compared with 17.7, 9.1 and 4.9% among people with any depressive episode, respectively. Compared with those with no depression, subsyndromal depression, brief depressive episode and depressive episode were significantly associated with 2.62, 2.14 and 3.44 times higher odds for multimorbidity, respectively. A significant positive association between multimorbidity and any depression was observed across 42 of the 43 countries, with particularly high odds ratios (ORs) in China (OR 8.84), Laos (OR 5.08), Ethiopia (OR 4.99), the Philippines (OR 4.81) and Malaysia (OR 4.58). The pooled OR for multimorbidity and depression estimated by meta-analysis across 43 countries was 3.26 (95% confident interval 2.98–3.57).

Conclusions

Our large multinational study demonstrates that physical health multimorbidity is increased across the depression spectrum. Public health interventions are required to address this global health problem.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ayuso-Mateos, JL, Nuevo, R, Verdes, E, Naidoo, N, Chatterji, S (2010). From depressive symptoms to depressive disorders: the relevance of thresholds. British Journal of Psychiatry 196, 365371.CrossRefGoogle ScholarPubMed
Barnett, K, Mercer, SW, Norbury, M, Watt, G, Wyke, S, Guthrie, B (2012). Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 380, 3743.CrossRefGoogle ScholarPubMed
Correll, C, Detraux, J, De Lepeleire, J, De Hert, M (2015). Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder. World Psychiatry 14, 119136.Google Scholar
Di Angelantonio, E, Kaptoge, S, Wormser, D, Willeit, P, Butterworth, AS, Bansal, N, O'Keeffe, LM, Gao, P, Wood, AM, Burgess, S, Freitag, DF, Pennells, L, Peters, SA, Hart, CL, Haheim, LL, Gillum, RF, Nordestgaard, BG, Psaty, BM, Yeap, BB, Knuiman, MW, Nietert, PJ, Kauhanen, J, Salonen, JT, Kuller, LH, Simons, LA, van der Schouw, YT, Barrett-Connor, E, Selmer, R, Crespo, CJ, Rodriguez, B, Verschuren, WM, Salomaa, V, Svardsudd, K, van der Harst, P, Bjorkelund, C, Wilhelmsen, L, Wallace, RB, Brenner, H, Amouyel, P, Barr, EL, Iso, H, Onat, A, Trevisan, M, D'Agostino, RB Sr., Cooper, C, Kavousi, M, Welin, L, Roussel, R, Hu, FB, Sato, S, Davidson, KW, Howard, BV, Leening, MJ, Rosengren, A, Dorr, M, Deeg, DJ, Kiechl, S, Stehouwer, CD, Nissinen, A, Giampaoli, S, Donfrancesco, C, Kromhout, D, Price, JF, Peters, A, Meade, TW, Casiglia, E, Lawlor, DA, Gallacher, J, Nagel, D, Franco, OH, Assmann, G, Dagenais, GR, Jukema, JW, Sundstrom, J, Woodward, M, Brunner, EJ, Khaw, KT, Wareham, NJ, Whitsel, EA, Njolstad, I, Hedblad, B, Wassertheil-Smoller, S, Engstrom, G, Rosamond, WD, Selvin, E, Sattar, N, Thompson, SG, Danesh, J (2015). Association of cardiometabolic multimorbidity with mortality. JAMA 314, 5260.Google Scholar
Fortin, M, Lapointe, L, Hudon, C, Vanasse, A, Ntetu, AL, Maltais, D (2004). Multimorbidity and quality of life in primary care: a systematic review. Health and Quality of Life Outcomes 2, 51.Google Scholar
Fortin, M, Stewart, M, Poitras, ME, Almirall, J, Maddocks, H (2012). A systematic review of prevalence studies on multimorbidity: toward a more uniform methodology. Annals of Family Medicine 10, 142151.CrossRefGoogle Scholar
Freeman, EE, Roy-Gagnon, MH, Samson, E, Haddad, S, Aubin, MJ, Vela, C, Zunzunegui, MV (2013). The global burden of visual difficulty in low, middle, and high income countries. PLOS ONE 8, e63315.Google Scholar
Gallo, JJ, Hwang, S, Joo, JH, Bogner, HR, Morales, KH, Bruce, ML, Reynolds, CF III (2016). Multimorbidity, depression, and mortality in primary care: randomized clinical trial of an evidence-based depression care management program on mortality risk. Journal of General Internal Medicine 31, 380386.Google Scholar
Garin, N, Koyanagi, A, Chatterji, S, Tyrovolas, S, Olaya, B, Leonardi, M, Lara, E, Koskinen, S, Tobiasz-Adamczyk, B, Ayuso-Mateos, JL, Haro, JM (2016). Global multimorbidity patterns: a cross-sectional, population-based, multi-country study. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 71, 205214.Google Scholar
Ghio, L, Gotelli, S, Cervetti, A, Respino, M, Natta, W, Marcenaro, M, Serafini, G, Vaggi, M, Amore, M, Murri, MB (2015). Duration of untreated depression influences clinical outcomes and disability. Journal of Affective Disorders 175, 224228.Google Scholar
Kessler, RC, Bromet, EJ (2013). The epidemiology of depression across cultures. Annual Review of Public Health 34, 119.Google Scholar
Kessler, RC, Ustun, TB (2004). The World Mental Health (WMH) survey initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93121.Google Scholar
Koyanagi, A, Oh, H, Stickley, A, Haro, JM, DeVylder, J (2016). Risk and functional significance of psychotic experiences among individuals with depression in 44 low- and middle-income countries. Psychological Medicine 46, 26552665.CrossRefGoogle ScholarPubMed
Lehnert, T, Heider, D, Leicht, H, Heinrich, S, Corrieri, S, Luppa, M, Riedel-Heller, S, König, HH (2011). Review: health care utilization and costs of elderly persons with multiple chronic conditions. Medical Care Research and Review: MCRR 68, 387420.CrossRefGoogle ScholarPubMed
Ludwick, J, Oosthuizen, P (2009). Screening for and monitoring of cardio-metabolic risk factors in outpatients with severe mental illness in a primary care setting. African Journal of Psychiatry 12, 287292.CrossRefGoogle Scholar
Moussavi, S, Chatterji, S, Verdes, E, Tandon, A, Patel, V, Ustun, B (2007). Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet 370, 851858.Google Scholar
Mugisha, J, Ssebunnya, J, Kigozi, FN (2016). Towards understanding governance issues in integration of mental health into primary health care in Uganda. International Journal of Mental Health Systems 10, 25.Google Scholar
Oni, T, McGrath, N, BeLue, R, Roderick, P, Colagiuri, S, May, CR, Levitt, NS (2014). Chronic diseases and multi-morbidity – a conceptual modification to the WHO ICCC model for countries in health transition. BMC Public Health 14, 1.CrossRefGoogle Scholar
Pan, A, Sun, Q, Okereke, OI, Rexrode, KM, Hu, FB (2011). Depression and risk of stroke morbidity and mortality: a meta-analysis and systematic review. JAMA 306, 12411249.Google Scholar
Ryan, A, Wallace, E, O'Hara, P, Smith, SM (2015). Multimorbidity and functional decline in community-dwelling adults: a systematic review. Health and Quality of Life Outcomes 13, 168.Google Scholar
Schuch, F, Vancampfort, D, Firth, J, Rosenbaum, S, Ward, P, Reichert, T, Bagatini, NC, Bgeginski, R, Stubbs, B (2016). Physical activity and sedentary behavior in people with major depressive disorder: a systematic review and meta-analysis. Journal of Affective Disorders 210, 139150.CrossRefGoogle ScholarPubMed
Smith, DJ, McLean, G, Martin, D, Martin, JL, Guthrie, B, Gunn, J, Mercer, SW (2014). Depression and multimorbidity: a cross-sectional study of 1,751,841 patients in primary care. Journal of Clinical Psychiatry 75, 12021208.CrossRefGoogle ScholarPubMed
Storr, CL, Cheng, H, Alonso, J, Angermeyer, M, Bruffaerts, R, De Girolamo, G, De Graaf, R, Gureje, O, Karam, EG, Kostyuchenko, S (2010). Smoking estimates from around the world: data from the first 17 participating countries in the World Mental Health Survey Consortium. Tobacco Control 19, 6574.Google Scholar
Vancampfort, D, Correll, CU, Galling, B, Probst, M, De Hert, M, Ward, PB, Rosenbaum, S, Gaughran, F, Lally, J, Stubbs, B (2016). Diabetes mellitus in people with schizophrenia, bipolar disorder and major depressive disorder: a systematic review and large scale meta-analysis. World Psychiatry 15, 166174.Google Scholar
Vancampfort, D, Stubbs, B, Mitchell, AJ, De Hert, M, Wampers, M, Ward, PB, Rosenbaum, S, Correll, CU (2015). Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry 14, 339347.Google Scholar
Whiteford, HA, Degenhardt, L, Rehm, J, Baxter, AJ, Ferrari, AJ, Erskine, HE, Charlson, FJ, Norman, RE, Flaxman, AD, Johns, N, Burstein, R, Murray, CJ, Vos, T (2013). Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet 382, 15751586.CrossRefGoogle ScholarPubMed