The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: what does the study on global ageing and adult health (SAGE) reveal?

Journal: BMC medicine

Volume: 13

Issue: 

Year of Publication: 2016

Affiliated Institutions:  International Institute for Population Sciences, Mumbai, India. arokiasamy_peria@yahoo.com. International Institute for Population Sciences, Mumbai, India. uttamacharya.iips@gmail.com. International Institute for Population Sciences, Mumbai, India. kshipraaa@googlemail.com. Department of Community Health, University of Ghana, Accra, Ghana. biritwum@africaonline.com.gh. Department of Community Health, University of Ghana, Accra, Ghana. aeyawson@yahoo.com. Shanghai Municipal Center for Disease Control and Prevention (CDC), Shanghai, China. wufan@scdc.sh.cn. Shanghai Municipal Center for Disease Control and Prevention (CDC), Shanghai, China. guoyanfei@scdc.sh.cn. Russian Academy of Medical Sciences (RAMS), Moscow, Russian Federation. tmaximova@mail.ru. National Institute of Public Health (INSP), Centre for Evaluation Research and Surveys, Cuernavaca, Morelos, Mexico. bmanrique@insp.mx. National Institute of Public Health (INSP), Centre for Evaluation Research and Surveys, Cuernavaca, Morelos, Mexico. asalinas@insp.mx. Academic Unit of Primary Care and Population Sciences, Faculty of Medicine, University of Southampton, University Road, Southampton, SO BJ, UK. sa@soton.ac.uk. Indian Institute of Public Health, Bhubaneswar, Public Health Foundation of India, Bhubaneswar, Odisha, India. sanghamitra.pati@iiphb.org. Ohio University, Department of Social Medicine and Director of Global Health, Athens, OH, USA. iceg@ohio.edu. Centre for Dementia Studies, Brighton and Sussex Medical School, University of Sussex, Brighton, UK. s.banerjee@bsms.ac.uk. University of Oregon, Department of Anthropology, Eugene, OR, USA. liebert@uoregon.edu. University of Oregon, Department of Anthropology, Eugene, OR, USA. jjosh@uoregon.edu. World Health Organization, Statistics Measurement and Analysis Unit, Geneva, Switzerland. naidoon@who.int. World Health Organization, Statistics Measurement and Analysis Unit, Geneva, Switzerland. chatterjis@who.int. World Health Organization Study on global AGEing and adult health (SAGE), Geneva, Switzerland. kowalp@who.int.

Abstract summary 

Chronic diseases contribute a large share of disease burden in low- and middle-income countries (LMICs). Chronic diseases have a tendency to occur simultaneously and where there are two or more such conditions, this is termed as 'multimorbidity'. Multimorbidity is associated with adverse health outcomes, but limited research has been undertaken in LMICs. Therefore, this study examines the prevalence and correlates of multimorbidity as well as the associations between multimorbidity and self-rated health, activities of daily living (ADLs), quality of life, and depression across six LMICs.Data was obtained from the WHO's Study on global AGEing and adult health (SAGE) Wave-1 (2007/10). This was a cross-sectional population based survey performed in LMICs, namely China, Ghana, India, Mexico, Russia, and South Africa, including 42,236 adults aged 18 years and older. Multimorbidity was measured as the simultaneous presence of two or more of eight chronic conditions including angina pectoris, arthritis, asthma, chronic lung disease, diabetes mellitus, hypertension, stroke, and vision impairment. Associations with four health outcomes were examined, namely ADL limitation, self-rated health, depression, and a quality of life index. Random-intercept multilevel regression models were used on pooled data from the six countries.The prevalence of morbidity and multimorbidity was 54.2 % and 21.9 %, respectively, in the pooled sample of six countries. Russia had the highest prevalence of multimorbidity (34.7 %) whereas China had the lowest (20.3 %). The likelihood of multimorbidity was higher in older age groups and was lower in those with higher socioeconomic status. In the pooled sample, the prevalence of 1+ ADL limitation was 14 %, depression 5.7 %, self-rated poor health 11.6 %, and mean quality of life score was 54.4. Substantial cross-country variations were seen in the four health outcome measures. The prevalence of 1+ ADL limitation, poor self-rated health, and depression increased whereas quality of life declined markedly with an increase in number of diseases.Findings highlight the challenge of multimorbidity in LMICs, particularly among the lower socioeconomic groups, and the pressing need for reorientation of health care resources considering the distribution of multimorbidity and its adverse effect on health outcomes.

Authors & Co-authors:  Arokiasamy Perianayagam P Uttamacharya Uttamacharya U Jain Kshipra K Biritwum Richard Berko RB Yawson Alfred Edwin AE Wu Fan F Guo Yanfei Y Maximova Tamara T Espinoza Betty Manrique BM Rodríguez Aarón Salinas AS Afshar Sara S Pati Sanghamitra S Ice Gillian G Banerjee Sube S Liebert Melissa A MA Snodgrass James Josh JJ Naidoo Nirmala N Chatterji Somnath S Kowal Paul P

Study Outcome 

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Statistics
Citations :  United Nations, Department of Economic and Social Affairs, Population Division . World Population Ageing 2013. ST/ESA/SER.A/348. New York: United Nations; 2013.
Authors :  19
Identifiers
Doi : 178
SSN : 1741-7015
Study Population
Male,Female
Mesh Terms
Activities of Daily Living
Other Terms
Study Design
Cross Sectional Study
Study Approach
Country of Study
Ghana
Publication Country
England