A Cross-sectional Survey on Quality of Life of AIDS Patients with Different Antiretroviral Regimens in Kunming Area

Diandian ZENG; Bo TIAN; Yongmei JIN; Chongxi LI; Fen TENG; Jun LIU

doi:10.12259/j.issn.2095-610X.S20221227

Volume 43 Issue 12

Dec. 2022

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Article Navigation > Journal of Kunming Medical University > 2022 > 43(12): 147-152

Diandian ZENG, Bo TIAN, Yongmei JIN, Chongxi LI, Fen TENG, Jun LIU. A Cross-sectional Survey on Quality of Life of AIDS Patients with Different Antiretroviral Regimens in Kunming Area[J]. Journal of Kunming Medical University, 2022, 43(12): 147-152. doi: 10.12259/j.issn.2095-610X.S20221227

Citation:

Diandian ZENG, Bo TIAN, Yongmei JIN, Chongxi LI, Fen TENG, Jun LIU. A Cross-sectional Survey on Quality of Life of AIDS Patients with Different Antiretroviral Regimens in Kunming Area[J]. Journal of Kunming Medical University, 2022, 43(12): 147-152. doi: 10.12259/j.issn.2095-610X.S20221227

Citation:

Diandian ZENG, Bo TIAN, Yongmei JIN, Chongxi LI, Fen TENG, Jun LIU. A Cross-sectional Survey on Quality of Life of AIDS Patients with Different Antiretroviral Regimens in Kunming Area[J]. Journal of Kunming Medical University, 2022, 43(12): 147-152. doi: 10.12259/j.issn.2095-610X.S20221227

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A Cross-sectional Survey on Quality of Life of AIDS Patients with Different Antiretroviral Regimens in Kunming Area

doi: 10.12259/j.issn.2095-610X.S20221227

1.
School of Public Health，Dali University，Dali Yunnan 671000
2.
Dept. of infection I，The Third People’s Hospital of Kunming，Kunming Yunnan 650041，China

Received Date: 2022-06-08
Available Online: 2022-11-25
Publish Date: 2022-12-25

Abstract

Abstract

Objective To investigate the quality of life of AIDS patients on different antiretroviral regimens in Kunming. Methods From December 2021 to March 2022, questionnaire survey and Chinese version of WHOQOL-HIV-BREF scale were used in Kunming Third People’s Hospital to investigate the quality of life of AIDS patients taking different antiviral treatment regimes. Multiple linear regression analysis was used to analyze the factors influencing the total score of patients’ quality of life. The total score of quality of life is shown in mean ± standard deviation. Results The results of one-way ANOVA showed that, total score for quality of life in male （67.67±9.86）, Han （67.22±9.74）, education level （69.12±10.07）, city of residence （67.66±9.74）, no drinking within 3 months （67.52±10.01）, under 30 years old （68.15±10.58）were higher than that of female （66.53±9.45）, ethnic minorities （66.57±9.60）, low education （64.43±8.51）, rural （65.97±9.56）, drinking within 3 months （65.81±7.76）, over 30 years old （64.25±6.77）, the difference was statistically significant （P < 0.05）. The quality of life was higher in the unmarried than in the married and divorced/widowed. The total quality of life score of patients with high CD4 level （CD4≥500） was higher than that of patients with low CD4 level. The quality of life score of MSM population was higher than that of heterosexual and drug abuse population, and the differences of the above factors were statistically significant （P < 0.05）. Quality of life scores of patients taking antiviral medication containing integrase inhibitors were higher than those taking antiviral therapy containing non-nucleoside analogues and protease inhibitors, and the difference was statistically significant （P < 0.05）. Multiple linear regression analysis showed that alcohol consumption, education, route of infection, and type of medication were correlated with the total quality of life score. Drinking habit （β = -1.670） was negatively correlated with the total score of quality of life; MSM transmission （β = 4.790）; university degree or above （β = 2.320）; patients taking integrase inhibitors such as DTG regimen （β = 7.014）, FTC/TAF/EVG/c （β = 8.765）, BIC/FTC/TAF （β = 13.141） were positively correlated, and the differences were statistically significant （P < 0.05）. Conclusion The quality of life of AIDS patients with different antiretroviral treatment regimens in Kunming is mainly influenced by various factors such as the type of antiretroviral drugs taken, alcohol consumption, and education.
- Antiretroviral drugs,
- AIDS,
- Quality of life

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