48 research outputs found

    Table_1_The impact of geriatric syndromes on quality of life among older people living with HIV in Kampala, Uganda.DOCX

    No full text
    ObjectiveOlder people living with HIV (OPWH) often have lower quality of life (QoL) compared to general population. Measuring their QoL is an important step in HIV care to ensure they have long healthy lives. This study aimed to evaluate the quality of life and its associated factors among people living with HIV aged 60 years and above in Uganda.MethodsWe used a cross-sectional analysis of older people living with HIV (OPWH) enrolled in a prospective cohort from December 2020 – December 2021. Quality of life was assessed using the World Health Organisation QoL OLD instrument (WHOQOL-OLD). Linear regression model was used to determine associated factors.ResultsOf the 500 participants enrolled, 51.2% were men and their median age was 64 years (IQR: 62 — 68). WHOQOL-OLD mean score (SD) was 90.1 (8.3) out of 120. Factors that increased overall QoL were (Coefficient [95% Confidence Interval]): being male 2.35 (1.21 — 3.73), having an income of ≥$1 1.30 (−0.16 — 2.76) and paradoxically having more than 2 non-communicable diseases 0.69 (−0.76 — 2.14) in the past, present and future domain of QoL. Those that decreased QoL in the overall and various domains included: an increasing number of geriatric syndromes, depression, pre-frailty, frailty, malnutrition, and low physical function.ConclusionOur findings suggest that financial stability contributed to good QoL while geriatric syndromes decreased QoL for OPWH. Integrating the screening and management of geriatric syndromes into HIV care has the potential to improve the overall QoL of OPWH.</p

    Precision of duplicate testing for all 3 methods.

    No full text
    <p>Using Wilcoxon Signed Rank Test;</p><p>CI  = Confidence Interval.</p

    Modified Poisson regression multivariable model for association of COVID-19 vaccination uptake.

    No full text
    Modified Poisson regression multivariable model for association of COVID-19 vaccination uptake.</p

    Respondent characteristics (N = 767).

    No full text
    Respondent characteristics (N = 767).</p

    Confidence in information sources, and convenience of vaccination program (N = 767).

    No full text
    Confidence in information sources, and convenience of vaccination program (N = 767).</p

    Complacency regarding COVID-19 infection, and vaccine confidence.

    No full text
    Complacency regarding COVID-19 infection, and vaccine confidence.</p

    COVID-19 vaccination acceptability.

    No full text
    COVID-19 vaccination acceptability.</p
    corecore