Quality of life in HIV/AIDS patients in relation to CD4 count: A cross-sectional study in Mysore district

Gowda, Sudhir; Channabasappa, Ashok Nagaralu; Dhar, Murali; Krishna, Deepa

doi:10.4103/2278-344x.107892

Cited by 12 publications

(15 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8 In a study Gowda et al found the marital status were as follows: married (60.4%), unmarried (9%), divorced (5.9%) and widowed (24.7%). 11 The result of present study is in line with Nirmal et al and Gowda et al studies. 8,11 In the present study majority of the study subjects were Hindus (80.6%) followed by Muslim (15.7%), Buddhist (2.8%) Christians constitute 0.3% and 0.6% were others.…”

Section: Socio Demographic Factorssupporting

confidence: 83%

“…11 The result of present study is in line with Nirmal et al and Gowda et al studies. 8,11 In the present study majority of the study subjects were Hindus (80.6%) followed by Muslim (15.7%), Buddhist (2.8%) Christians constitute 0.3% and 0.6% were others. In a study done in Karnataka by Basavarajaiah et al, they found that patients registered for HIV care belonged to different religions were as follows Hindus 81.87%, Muslims 12.75% and Christians 5.37%.…”

Section: Socio Demographic Factorssupporting

confidence: 83%

“…8 In a study Gowda et al found that 149 patients had CD4 count <350 cells/mm 3 and 106 patients had CD4 count >350cells/mm 3 . 11 The result of present study is consensus with Nirmal et al and Gowda et al studies.…”

Section: Socio Demographic Factorssupporting

confidence: 82%

“…8 In the study conducted by Gowda et al in 2011 documented that patients with higher CD4count had better QOl in comparison to patients with lower CD4 count. 11 The finding in present study shows gender, literacy status, higher age group, employment status, less CD4 count has profound impact on QOL.…”

Section: Factors Affecting Qolmentioning

confidence: 64%

“…15 In a study Gowda et al in 2011 found that, 75.3% were employed and 24.7% were unemployed. 11 In the present study 210 (65.83%) of the study subjects belonged to socio-economic class II followed by 89(27.9%) class I, 10 (3.13%) class III, 9(2.82%) class IV and 1 (0.31%) of the study subject belonged to class V. In a study Gowda et al in 2011, 2.4% of the study population belong to Class I, 13.7% belong to Class II, 29.0% belong to Class III, 43.5% belong to Class IV and 11.4% belong to Class V. 11 Out of total study population, 169 (52.98%) study population had CD4 less than 300 and 150 (47.02%) had CD4 count more than 300. Nirmal et al in their study found that 26.67% had CD4 count <200 cells /mm 3 , 50% had CD4 count between 200 -500 cells/mm 3 and 23.33% had CD4 count>500 cells/mm 3 .…”

Section: Socio Demographic Factorsmentioning

confidence: 99%

See 4 more Smart Citations

Quality of life factors affecting quality of life in people living with HIV/AIDS in an urban area

Jadhav

Laad²,

Chaturvedi

2017

Int J Community Med Public Health

View full text Add to dashboard Cite

Background: The aims and objectives were to study socio-demographic profile of people living with HIV/ AIDS; to assess quality of life of people living with HIV/AIDS (PLHA); to study factors affecting Quality of life (QOL) in people living with HIV/AIDS. Methods: A cross-sectional study was conducted which included 319 study subjects. Data on socio-demographic profile was collected using questionnaire and quality of life was assessed using WHO - brief questionnaire. Data was analysed using SPSS software and MS–Excel. Results: Majority of study population 52% were female & 40.8%belonged to 35-45 yrs age group. Out of 319 study subjects, 80.88% were literate and 19.1% were illiterates, 75.9% were married. 65.83% of the study subjects belonged to socio-economic class- II, 27.9% of the study subjects belong to class–I. Majority 52.98% study population had CD4 less than 300 and 47.02% had CD4 count more than 300 cells/mm3. Female have better QOl in comparison to male. Subjects >55 age group, illiterate, unemployed and CD4 count <300cells/mm3 have lower QOL (p<0.05) in comparison to their respective group. Conclusions: The most factors significantly associated with decreased quality of life of people living with HIV/AIDS in the present study include gender, literacy status, age group, employment status and CD4 count (p<0.05).

show abstract

Section: Socio Demographic Factorssupporting

confidence: 83%

Section: Socio Demographic Factorssupporting

confidence: 83%

Section: Socio Demographic Factorssupporting

confidence: 82%

Section: Factors Affecting Qolmentioning

confidence: 64%

Section: Socio Demographic Factorsmentioning

confidence: 99%

See 3 more Smart Citations

Quality of life factors affecting quality of life in people living with HIV/AIDS in an urban area

Jadhav

Laad²,

Chaturvedi

2017

Int J Community Med Public Health

View full text Add to dashboard Cite

show abstract

Health-Related Quality of Life in Children with HIV Infection—A Cross-Sectional Study from South India

Gopakumar

Bhat

Joseph

et al. 2017

J Pediatr Infect Dis

View full text Add to dashboard Cite

Assessment of health-related quality of life (HRQoL) in children with HIV is crucial to improve the psychosocial well-being of this vulnerable population. The objective of this study was to assess the HRQoL of children with HIV infection aged between 5 and 18 years. The study was conducted in 144 children with HIV attending an antiretroviral therapy (ART) center in Karnataka to assess the HRQoL, using the PedsQL questionnaire. Total 144 children were included in the study, who had HRQoL with good physical (75.99???13.46), psychosocial (71.01???12.83), and total (72.43???12.73) scores according to the child's perspective. Number of boys and children raised in foster homes were 51.3% (74) and 56% (81), respectively. Even though all children had complete adherence and had a good immunologic and clinical profile, we found that their HRQoL did not vary with stage of infection, duration of treatment, or immunologic status. Our findings underscore the importance of family-centered care for children living with HIV and advocate enhancing psychosocial and mental development to improve the HRQoL of children.

show abstract

Multivariate multilevel modeling of quality of life dynamics of HIV infected patients

Dessie

Zewotir

Mwambi

et al. 2020

Health Qual Life Outcomes

View full text Add to dashboard Cite

Background: Longitudinal quality of life (QoL) is an important outcome in many chronic illness studies aiming to evaluate the efficiency of care both at the patient and health system level. Although many QoL studies involve multiple correlated hierarchical outcome measures, very few of them use multivariate modeling. In this work, we modeled the long-term dynamics of QoL scores accounting for the correlation between the QoL scores in a multilevel multivariate framework and to compare the effects of covariates across the outcomes. Methods: The data is from an ongoing prospective cohort study conducted amongst adult women who were HIVinfected and on the treatment in Kwazulu-Natal, South Africa. Independent and related QoL outcome multivariate multilevel models were presented and compared. Results: The analysis showed that related outcome multivariate multilevel models fit better for our data used. Our analyses also revealed that higher educational levels, middle age, stable sex partners and higher weights had a significant effect on better improvements in the rate of change of QoL scores of HIV infected patients. Similarly, patients without TB co-infection, without thrombocytopenia, with lower viral load, with higher CD4 cell count levels, with higher electrolytes component score, with higher red blood cell (RBC) component score and with lower liver abnormality component score, were associated with significantly improved the rate of change of QoL, amongst HIV infected patients. Conclusion: It is hoped that the article will help applied researchers to familiarize themselves with the models and including interpretation of results. Furthermore, three issues are highlighted: model building of multivariate multilevel outcomes, how this model can be used to assess multivariate assumptions, involving fixed effects (for example, to examine the size of the covariate effect varying across QoL domain scores) and random effects (for example, to examine the rate of change in one response variable associated to changes in the other).

show abstract

Quality of life in HIV/AIDS patients in relation to CD4 count: A cross-sectional study in Mysore district

Cited by 12 publications

References 7 publications

Quality of life factors affecting quality of life in people living with HIV/AIDS in an urban area

Quality of life factors affecting quality of life in people living with HIV/AIDS in an urban area

Health-Related Quality of Life in Children with HIV Infection—A Cross-Sectional Study from South India

Multivariate multilevel modeling of quality of life dynamics of HIV infected patients

Contact Info

Product

Resources

About