Frontiers in public health · 2025
The impact of online and offline social support on the quality of life of HIV/AIDS patients: a cross-sectional study.
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Zhou Zhiwei, Sun Chuanwu, Chai Feifei, Zhou Hui, Wang Chengzhong, Zhang Yaodong
Аннотация
BACKGROUND: Online and offline social support may shape the quality of life (QoL) of people living with HIV/AIDS (PLWHA), yet their relative and joint contributions remain unclear.
METHODS: We conducted a cross-sectional survey of 605 PLWHA in Xuzhou, gathering demographic data, subjective well-being, socioeconomic status, HIV/AIDS knowledge, offline and online social support, and QoL. Correlation analysis, multiple linear regression, and mediation-moderation models quantified associations.
RESULTS: Higher socioeconomic status, greater subjective well-being, richer HIV/AIDS knowledge, and stronger offline and online support independently predicted better QoL (all p < 0.05). Offline support showed a direct effect on QoL (β = 0.14, p < 0.001) and an indirect effect via online support (indirect β = 0.024, p < 0.05). Online support also improved QoL (β = 0.15, p < 0.001) but did not moderate the offline-QoL link (interaction β = 0.006, p > 0.05).
CONCLUSION: Offline support boosts QoL both directly and by fostering online support, whereas online support alone confers additional benefit without buffering deficits in offline support. Integrating face-to-face and digital support is therefore crucial for optimising patient outcomes.
METHODS: We conducted a cross-sectional survey of 605 PLWHA in Xuzhou, gathering demographic data, subjective well-being, socioeconomic status, HIV/AIDS knowledge, offline and online social support, and QoL. Correlation analysis, multiple linear regression, and mediation-moderation models quantified associations.
RESULTS: Higher socioeconomic status, greater subjective well-being, richer HIV/AIDS knowledge, and stronger offline and online support independently predicted better QoL (all p < 0.05). Offline support showed a direct effect on QoL (β = 0.14, p < 0.001) and an indirect effect via online support (indirect β = 0.024, p < 0.05). Online support also improved QoL (β = 0.15, p < 0.001) but did not moderate the offline-QoL link (interaction β = 0.006, p > 0.05).
CONCLUSION: Offline support boosts QoL both directly and by fostering online support, whereas online support alone confers additional benefit without buffering deficits in offline support. Integrating face-to-face and digital support is therefore crucial for optimising patient outcomes.