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      Poverty and disability in low- and middle-income countries: A systematic review

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          Abstract

          Introduction

          Disability and poverty are believed to operate in a cycle, with each reinforcing the other. While agreement on the existence of a link is strong, robust empirical evidence substantiating and describing this potential association is lacking. Consequently, a systematic review was undertaken to explore the relationship between disability and economic poverty, with a focus on the situation in low and middle income countries (LMICs).

          Methods

          Ten electronic databases were searched to retrieve studies of any epidemiological design, published between 1990-March 2016 with data comparing the level of poverty between people with and without disabilities in LMICs (World Bank classifications). Poverty was defined using economic measures (e.g. assets, income), while disability included both broad assessments (e.g. self-reported functional or activity limitations) and specific impairments/disorders. Data extracted included: measures of association between disability and poverty, population characteristics and study characteristics. Proportions of studies finding positive, negative, null or mixed associations between poverty and disability were then disaggregated by population and study characteristics.

          Results

          From the 15,500 records retrieved and screened, 150 studies were included in the final sample. Almost half of included studies were conducted in China, India or Brazil (n = 70, 47%). Most studies were cross-sectional in design (n = 124, 83%), focussed on specific impairment types (n = 115, 77%) and used income as the measure for economic poverty (n = 82, 55%). 122 studies (81%) found evidence of a positive association between disability and a poverty marker. This relationship persisted when results were disaggregated by gender, measure of poverty used and impairment types. By country income group at the time of data collection, the proportion of country-level analyses with a positive association increased with the rising income level, with 59% of low-income, 67% of lower-middle and 72% of upper-middle income countries finding a positive relationship. By age group, the proportion of studies reporting a positive association between disability and poverty was lowest for older adults and highest for working-age adults (69% vs. 86%).

          Conclusions

          There is strong evidence for a link between disability and poverty in LMICs and an urgent need for further research and programmatic/policy action to break the cycle.

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          Most cited references42

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          Poverty and common mental disorders in low and middle income countries: A systematic review.

          In spite of high levels of poverty in low and middle income countries (LMIC), and the high burden posed by common mental disorders (CMD), it is only in the last two decades that research has emerged that empirically addresses the relationship between poverty and CMD in these countries. We conducted a systematic review of the epidemiological literature in LMIC, with the aim of examining this relationship. Of 115 studies that were reviewed, most reported positive associations between a range of poverty indicators and CMD. In community-based studies, 73% and 79% of studies reported positive associations between a variety of poverty measures and CMD, 19% and 15% reported null associations and 8% and 6% reported negative associations, using bivariate and multivariate analyses respectively. However, closer examination of specific poverty dimensions revealed a complex picture, in which there was substantial variation between these dimensions. While variables such as education, food insecurity, housing, social class, socio-economic status and financial stress exhibit a relatively consistent and strong association with CMD, others such as income, employment and particularly consumption are more equivocal. There are several measurement and population factors that may explain variation in the strength of the relationship between poverty and CMD. By presenting a systematic review of the literature, this paper attempts to shift the debate from questions about whether poverty is associated with CMD in LMIC, to questions about which particular dimensions of poverty carry the strongest (or weakest) association. The relatively consistent association between CMD and a variety of poverty dimensions in LMIC serves to strengthen the case for the inclusion of mental health on the agenda of development agencies and in international targets such as the millenium development goals. Copyright 2010 Elsevier Ltd. All rights reserved.
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            Including Disabled People in Poverty Reduction Work: “Nothing About Us, Without Us”

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              Epidemiologic survey of dementia in a community-dwelling Brazilian population.

              The authors report the prevalence of dementia in a community-dwelling Brazilian elderly population and correlate prevalence data with educational and socioeconomic levels. The study was conducted in Catanduva, Brazil. A total of 1,656 randomly selected subjects aged 65 years or more were submitted to a health questionnaire, the Mini-Mental State Examination (MMSE), and the Pfeffer Functional Activities Questionnaire (PFAQ). According to the PFAQ and MMSE scores, selected subjects were submitted to clinical, neurologic, and cognitive evaluations. The subjects diagnosed with dementia underwent laboratory tests and brain computed tomography (CT). Dementia was diagnosed in 118 subjects, corresponding to a prevalence of 7.1%. The main clinical diagnoses were Alzheimer disease (AD; 55.1%), vascular dementia (9.3%), and AD with cerebrovascular disease (14.4%). The prevalence increased with age and was higher in women. There was an inverse association with education (3.5% among persons with 8 or more years of schooling to 12.2% among those who were illiterate). Multivariate analysis disclosed significant association between these three variables and dementia. The prevalence of dementia in this Brazilian population was 7.1%, and AD was the most frequent diagnosis. Age, female gender, and low educational level were significantly associated with a higher prevalence of dementia.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 December 2017
                2017
                : 12
                : 12
                : e0189996
                Affiliations
                [001]International Centre for Evidence in Disability, Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
                TNO, NETHERLANDS
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4585-1103
                Article
                PONE-D-17-31446
                10.1371/journal.pone.0189996
                5739437
                29267388
                c5b37641-1bc4-44a7-a4a5-76455d421f2a
                © 2017 Banks et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 September 2017
                : 6 December 2017
                Page count
                Figures: 2, Tables: 3, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100002870, Christoffel Blinden Mission;
                Award Recipient :
                Funded by: Department of Foreign Affairs and Trade (DFAT), Australian Government
                Award Recipient :
                This work was funded by the Christoffel Blindenmission (CBM) and the Australian Department of Foreign Affairs and Trade (DFAT), agreement number 70400.
                Categories
                Research Article
                Medicine and Health Sciences
                Public and Occupational Health
                Disabilities
                Social Sciences
                Economics
                Human Capital
                Economics of Poverty
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Social Sciences
                Economics
                Medicine and Health Sciences
                Ophthalmology
                Visual Impairments
                Social Sciences
                Economics
                Human Capital
                Economics of Training and Education
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Custom metadata
                All relevant data are within the paper and its Supporting Information files. Specifically, the S2 File contains the citations of included studies, while S2 Table provides a summarized extraction table of the key data used from each included study.

                Uncategorized
                Uncategorized

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