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首页> 外文期刊>JMIR mHealth and uHealth >Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling
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Mediators of Intervention Effects on Depressive Symptoms Among People Living With HIV: Secondary Analysis of a Mobile Health Randomized Controlled Trial Using Latent Growth Curve Modeling

机译:患有艾滋病毒患者抑郁症状的干预症状的介质:使用潜在增长曲线建模对移动健康随机对照试验的二次分析

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Background Although several studies have investigated the effects of mobile health (mHealth) interventions on depression among people living with HIV, few studies have explored mediators of mHealth-based interventions to improve mental health in people living with HIV. Identifying influential mediators may enhance and refine effective components of mHealth interventions to improve mental health of people living with HIV. Objective This study aimed to examine mediating factors of the effects of a mHealth intervention, Run4Love , designed to reduce depression among people living with HIV using 4 time-point measurement data. Methods This study used data from a randomized controlled trial of a mHealth intervention among people living with HIV with elevated depressive symptoms in Guangzhou, China. A total of 300 patients were assigned to receive either the mHealth intervention (n=150) or a waitlist control group (n=150) through computer-generated block randomization. Depressive symptoms, coping, and HIV-related stigma were measured at baseline, 3-, 6-, and 9-month follow-ups. The latent growth curve model was used to examine the effects of the intervention on depressive symptoms via potential mediators. Mediating effects were estimated using bias-corrected 95% bootstrapped CIs (BCIs) with resampling of 5000. Results Enhanced positive coping and reduced HIV-related stigma served as effective treatment mediators in the mHealth intervention. Specially, there was a significant indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of positive coping (beta=–2.86; 95% BCI –4.78 to –0.94). The indirect effect of the mHealth intervention on the slope of depressive symptoms via the slope of HIV-related stigma was also statistically significant (beta=–1.71; 95% BCI –3.03 to –0.40). These findings indicated that enhancement of positive coping and reduction of HIV-related stigma were important mediating factors of the mHealth intervention in reducing depression among people living with HIV. Conclusions This study revealed the underlying mediators of a mHealth intervention to reduce depression among people living with HIV using latent growth curve model and 4 time-point longitudinal measurement data. The study results underscored the importance of improving positive coping skills and mitigating HIV-related stigma in mHealth interventions to reduce depression among people living with HIV.
机译:背景技术虽然有几项研究已经调查了移动健康(MHECHEATH)干预患者患有艾滋病毒的人们对抑郁症的影响,但很少有研究已经探索了基于MHEATH的干预措施的调解员,以改善艾滋病毒患者人民的心理健康。识别有影响力的调解员可以增强和细化MEHEALTH干预的有效成分,以改善艾滋病毒患者的心理健康。目的本研究旨在检验MHECHEATH干预,Run4Love的影响的中介因素,旨在使用4个时间点测量数据减少患有HIV的人们的抑郁症。方法研究本研究使用来自艾滋病病毒症患者的MHECHEATH干预的随机对照试验中的数据,并在中国广州的抑郁症状升高。通过计算机生成的块随机化将共分配了300名患者接收MHEPHEATH干预(n = 150)或待客控制组(n = 150)。在基线,3-,6-和9个月的随访中测量抑郁症状,应对和艾滋病毒相关耻辱。潜在的生长曲线模型用于通过潜在的介质来检查干预对抑郁症状的影响。使用偏置的95%举起的CIS(BCI)估计介导效应,重采样为5000次。结果增强了阳性应对和降低的艾滋病毒相关耻辱,作为MHealth干预中的有效治疗介质。特别是,MHEATH干预通过阳性应对斜率(β= -2.86; 95%BCI -4.78至-0.94)的抑郁症状斜坡的显着间接效应。 MHECHEATH干预通过HIV相关耻辱斜率对抑郁症状坡度的间接效应也有统计学意义(β= -1.71; 95%BCI -3.03至-0.40)。这些发现表明,增强阳性应对和降低艾滋病毒相关耻辱的结果是MHECHEATION干预患者患有艾滋病毒的人们减少抑郁症的重要调解因素。结论本研究揭示了MHECHEATH干预的底层调解员,以利用潜在的生长曲线模型和4个时间点纵向测量数据减少患有艾滋病毒的人们的抑郁症。研究结果强调了改善阳性应对技能和缓解艾滋病毒相关耻辱的重要性,以减少艾滋病毒患者的抑郁症。

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