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dc.contributor.authorArokiasamy, P
dc.contributor.authorUttamacharya, U
dc.contributor.authorJain, K
dc.contributor.authorBiritwum, RB
dc.contributor.authorYawson, AE
dc.contributor.authorWu, F
dc.contributor.authorGuo, Y
dc.contributor.authorMaximova, T
dc.contributor.authorEspinoza, BM
dc.contributor.authorSalinas Rodríguez, A
dc.contributor.authorAfshar, S
dc.contributor.authorPati, S
dc.contributor.authorIce, G
dc.contributor.authorBanerjee, Sube
dc.contributor.authorLiebert, MA
dc.contributor.authorSnodgrass, JJ
dc.contributor.authorNaidoo, N
dc.contributor.authorChatterji, S
dc.contributor.authorKowal, P
dc.date.accessioned2020-05-12T09:27:29Z
dc.date.available2020-05-12T09:27:29Z
dc.date.issued2015-12
dc.identifier.issn1741-7015
dc.identifier.issn1741-7015
dc.identifier.other178
dc.identifier.urihttp://hdl.handle.net/10026.1/15666
dc.description.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.

dc.format.extent178-
dc.format.mediumElectronic
dc.languageen
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.subjectActivities of daily living
dc.subjectLow- and middle-income countries
dc.subjectMental health
dc.subjectMultimorbidity
dc.subjectNon-communicable diseases
dc.subjectQuality of life
dc.titleThe 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?
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, N.I.H., Extramural
dc.typeResearch Support, Non-U.S. Gov't
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000358833000002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1
plymouth.volume13
plymouth.publication-statusPublished
plymouth.journalBMC Medicine
dc.identifier.doi10.1186/s12916-015-0402-8
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/Peninsula Medical School
plymouth.organisational-group/Plymouth/Faculty of Health/Peninsula Medical School/PMS - Manual
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeEngland
dcterms.dateAccepted2015-06-17
dc.identifier.eissn1741-7015
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1186/s12916-015-0402-8
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2015-08-03
rioxxterms.typeJournal Article/Review


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