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?

Arokiasamy Perianayagam(International Institute for Population Sciences), Uttamacharya Uttamacharya(International Institute for Population Sciences), Kshipra Jain(International Institute for Population Sciences), Richard Biritwum(University of Ghana), Alfred Edwin Yawson(University of Ghana), Fan Wu(Shanghai Municipal Center For Disease Control Prevention), Yanfei Guo(Shanghai Municipal Center For Disease Control Prevention), Tamara Maximova(Russian Academy of Sciences), Betty Manrique‐Espinoza(Instituto Nacional de Salud Pública), Aarón Salinas‐Rodríguez(Instituto Nacional de Salud Pública), Sara Afshar(University of Southampton), Sanghamitra Pati(Public Health Foundation of India), Gillian H. Ice(Ohio University), Sube Banerjee(Brighton and Sussex Medical School), Melissa A. Liebert(University of Oregon), J. Josh Snodgrass(University of Oregon), Nirmala Naidoo(World Health Organization), Somnath Chatterji(World Health Organization), Paul Kowal(World Health Organization)
BMC Medicine
August 3, 2015
Cited by 490Open Access
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Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.


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