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Predictors of quality of life of older persons in rural Uganda:  A cross sectional study.


ABSTRACT: Background: Little is known about the quality of life of older persons (OPs) in Uganda in particular, and Africa in general. This study examined factors associated with quality of life of older persons in rural Uganda. Method: We performed a cross-sectional survey of 912 older persons from the four regions of Uganda. Data were analyzed at univariate, bivariate and multivariate level where ordinal logistic regression was applied. Results: Older persons in northern (OR=0.39; CI=0.224-0.711) and western (OR=0.33; CI=0.185-0.594) regions had poor quality of life relative to those in central region. Those who were HIV positive had poor quality of life (OR=0.45; CI=0.220-0.928) compared to those who were HIV negative. In contrast, living in permanent houses predicted good quality of life (OR=2.04; CI=1.391-3.002). Older persons whose household assets were controlled by their spouses were associated with good quality of life (OR=2.06;CI=1.032-4.107) relative to those whose assets were controlled by their children. Conclusion: Interventions mitigating the HIV and AIDS related Quality of life should target older persons. The government of Uganda should consider improving housing conditions for older persons in rural areas.

SUBMITTER: Maniragaba F 

PROVIDER: S-EPMC7118782 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Predictors of quality of life of older persons in rural Uganda:  A cross sectional study.

Maniragaba Fred F   Kwagala Betty B   Bizimungu Emmanuel E   Wandera Stephen Ojiambo SO   Ntozi James J  

AAS open research 20181109


<b>Background:</b> Little is known about the quality of life of older persons (OPs) in Uganda in particular, and Africa in general. This study examined factors associated with quality of life of older persons in rural Uganda. <b>Method:</b> We performed a cross-sectional survey of 912 older persons from the four regions of Uganda. Data were analyzed at univariate, bivariate and multivariate level where ordinal logistic regression was applied. <b>Results:</b> Older persons in northern (OR=0.39; C  ...[more]

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