Social and demographical determinants of quality of life in people who live with HIV/AIDS infection: evidence from a meta-analysis

Ghiasvand, Hesam; Higgs, Peter; Noroozi, Mehdi; Harouni, Gholamreza Ghaedamini; Hemmat, Morteza; Ahounbar, Elahe; Haroni, Javad; Naghdi, Seyran; Astaneh, Ali Nazeri; Armoon, Bahram

doi:10.1080/19485565.2019.1587287

Cited by 49 publications

(44 citation statements)

References 43 publications

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“…with HIV/AIDS-related comorbidities were found 1.52 times more likely to have poor mental HRQoL than those without the conditions (AOR: 1.52; 95% CI: 1.62, 3.68; p = 0.042). Our ndings correspond with the reports of Abera et al [40] that the mean values of PHS scores decline with age. In Brazil [41], PLWHA aged over 25 years were strongly associated with poor PHS scores.…”

Section: Health-related Quality Of Life (Hrqol)supporting

confidence: 93%

“…For instance, age-speci c physical health strengthening activities for adults over 25 years of age improve physical HRQoL. Faith-based behavioural and physical intervention strategies improve religious determinants of poor physical HRQoL, and tackling the issue of unemployment and food insecurity improves the physical HRQoL [42,40,50]. In addition, addressing social inequality brought about by unemployment, food insecurity and poor asset possession can enhance mental HRQoL.…”

Section: Discussionmentioning

confidence: 99%

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Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

Nigusso

Mavhandu-Mudzusi

2020

Preprint

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Background: Health-related quality of life (HRQoL) serves as a direct measure of individuals’ health, life expectancy and the impact that the utilization of health care has on quality of life. The purpose of this study is to assess the HRQoL of people living with HIV/AIDS (PLWHA), and to ascertain its association with the social inequalities and clinical determinants among people living with HIV in Benishangul Gumuz Regional State, Ethiopia.Methods: A cross-sectional study was conducted between December 2016 and February 2017; 390 people at two referral hospitals and three health centers participated in the study. The Patient-Reported Outcomes Measurement Information System Global Health Scale (PROMIS Global 10) was used to measure key HRQoL domains. Physical Health Summary (PHS) and Mental Health Summary (MHS) scores were employed. PHS and MHS scores below 50 (the standardized mean score) were determined to be poor and above 50 to be good. Bivariate and multivariate logistic regression analyses were used to identify factors associated with PHS and MHS scores. Results: This study included 259 (66.4%) females and 131 (33.6%) males. The PHS scores ranged from 16.2 to 67.7 with a mean of 48.8 (SD = 8.9). Almost 44.6% of the study population has a PHS score of below 50; the MHS scores ranged from 28.4 to 67.6 with a mean of 50.8 (SD = 8.1). About 41.8% of the study population has an MHS score of below 50. Unemployment, household food insecurity and comorbidities with HIV were associated with both poor PHS and poor MHS scores. Age below 25 years and being a member of Christian fellowship were inversely associated with poor PHS. The least wealth index score and CD4 count below 350 cells/mL were also associated with poor MHS. Conclusion: Overall, socioeconomic inequalities and HIV-related clinical factors play an important role in improving the HRQoL of PLWHA. Many of these determinants are alterable risk factors. Appropriate strategies can improve the holistic management of chronic HIV care and maximize PLWHAs’ HRQoL. Such strategies require the adoption of comprehensive interventions, including policies and programmes that would improve the health, wellbeing and livelihood of PLWHA.

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Section: Health-related Quality Of Life (Hrqol)supporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

Nigusso

Mavhandu-Mudzusi

2020

Preprint

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“…[31] Additionally, a recent meta-analysis shows that adherence to ART, CD4 lymphocyte count, and presence of comorbidities are the major clinical predictors of PLHIV's quality of life. [32] In this study, for example, an association was identified after adjusting the following variables: viral load (detectable), smoking habits (presence), and nutritional status (normal).…”

Section: Discussionmentioning

confidence: 89%

Factors associated with the isolation of Candida Spp. from the oral microbiota of people living with HIV

Silva

Brito

et al. 2020

CNS

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This study aimed to analyze the association between the isolation of Candida species in the oral cavity and the clinical and virulence factors of people living with Human immunodeficiency virus (HIV). This cross-sectional study, comprising 106 people living with HIV who were evaluated in an HIV-AIDS outpatient clinic in Fortaleza, Northeast of Brazil, data collection were conducted during August and November 2018. A saliva sample was also collected to isolate Candida. The virulence factors of extracellular and hemolytic phospholipase activities in isolated Candida strains were analyzed. The prevalence of oral Candida was 40.6%, and the presence of oral Candida was associated with smoking habits (p = .005), daily smoking (p = .026), low weight (p = .030), history of hospitalization (p = .014), TCD4 lymphocyte count < 200 cells/mm3 (p = .018), and detectable viral load (p = .005). The multivariate analysis revealed that the variables smoking habits (p = .008), viral load (p = .011), and body mass index (p = .011) were associated with the presence of oral Candida. Strong hemolytic and phospholipase activities were, respectively, identified in 74.4% and 72% of the isolated strains, mainly Candida albicans. As a main conclusion, the isolation of Candida from the oral cavity in people living with HIV/AIDS, has a strong association with the use of tobacco, even under anappropriate treatment.

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“…PLWHAs are nearly twice more likely to have poor PHS scores. Likewise, it has been shown that unemployment leads to poor QoL among PLWHA in both developed and developing countries [12,40,47]. A study in Ethiopia has found that unemployed PLWHA are twice as likely to have poor physical HRQoL than employed PLWHA [19].…”

Section: Health-related Quality Of Life (Hrqol)mentioning

confidence: 99%

“…Another study in Brazil[39] has shown that a young age (below 25 years) predicts higher physical HRQoL. Likewise, evidence from a meta-analysis of social and demographical determinants of quality of life in people who live with HIV/AIDS has shown that those who are under 35 years of age have a positive and direct association with better physical HRQoL[40]. The reason why physical…”

mentioning

confidence: 99%

Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

Nigusso

Mavhandu-Mudzusi

2020

Preprint

View full text Add to dashboard Cite

Background: Health-related quality of life (HRQoL) serves as a direct measure of individuals’ health, life expectancy and the impact that the utilisation of health care has on quality of life. The purpose of this study is to assess the HRQoL of people living with HIV and AIDS, and to ascertain its association with the social inequalities and clinical determinants among people living with HIV in Benishangul Gumuz Regional State, Ethiopia.Methods: A cross-sectional study was conducted between December 2016 and February 2017; 390 people at two referral hospitals and three health centres participated in the study. The Patient-Reported Outcomes Measurement Information System Global Health Scale (PROMIS Global 10) was used to measure key HRQoL domains. Physical Health Summary (PHS) and Mental Health Summary (MHS) scores were employed. PHS and MHS scores below 50 (the standardised mean score) were determined to be poor and above 50 to be good. Bivariate and multivariate logistic regression analyses were used to identify factors associated with PHS and MHS scores.Results: This study included 259 (66.4%) females and 131 (33.6%) males. The PHS scores ranged from 16.2 to 67.7 with a mean of 48.8 (SD = 8.9). Almost 44.6% of the study population has a PHS score of below 50; the MHS scores ranged from 28.4 to 67.6 with a mean of 50.8 (SD = 8.1). About 41.8% of the study population has an MHS score of below 50. Unemployment, household food insecurity and comorbidities with HIV were associated with both poor PHS and poor MHS scores. The demographic factors associated with poor PHS scores were being a member of the Oromo ethnic group and having non-Christian religious affiliations; while age of below 25 years were inversely associated with poor PHS. The least wealth index score was also associated with a poor MHS score.Conclusion: Overall, socioeconomic inequalities and HIV-related clinical factors play an important role in improving the HRQoL of PLWHA. Many of these determinants are alterable risk factors. Appropriate strategies can improve the holistic management of chronic HIV care and maximise PLWHAs’ HRQoL. Such strategies require the adoption of comprehensive interventions, including policies and programmes that would improve the health, wellbeing and livelihood of PLWHAs.

show abstract

Social and demographical determinants of quality of life in people who live with HIV/AIDS infection: evidence from a meta-analysis

Cited by 49 publications

References 43 publications

Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

Factors associated with the isolation of Candida Spp. from the oral microbiota of people living with HIV

Health-related quality of life of people living with HIV/AIDS: the role of social inequalities and disease-related factors

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