基于正念的移动干预对改善围产期心理健康和减少怀孕期间抑郁的有效性:随机对照试验。

IF 6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Minjung Kim, Jin Young Park, Sehwan Park, Kyungmi Chung, Hee Young Cho, Gangho Do, Kyungun Jhung
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引用次数: 0

摘要

背景:怀孕是女性的脆弱时期,出现抑郁和焦虑等心理健康问题的风险增加。围产期尤其重要,因为产妇的心理健康对产妇的身体健康、妊娠结局、产后结局以及胎儿和婴儿的发育都有重大影响。抑郁症的心理治疗干预是必不可少的,特别是考虑到怀孕期间药物使用的局限性。然而,患有抑郁症的围产期妇女往往在获得这些干预措施方面遇到障碍。数字卫生干预措施可能为克服这些障碍提供一种有希望的方法。目的:本研究旨在(1)评估Avecmom(一种自助、基于正念的移动干预)在减轻轻度至中度抑郁症孕妇抑郁严重程度方面的有效性;(2)考察其对情绪幸福感和母胎依恋的影响;(3)探讨正念增加和抑郁严重程度降低对心理健康的影响。方法:通过线上和线下两种方式招募参与者。在158名被筛选的个体中,有90人符合纳入标准,并被随机分配到干预组或对照组。干预组同时使用Avecmom和Big 4+应用程序,而对照组仅使用Big 4+应用程序。抑郁症状、焦虑和压力作为基线和干预后的主要结果进行评估。正念、心理健康、积极和消极情绪以及母胎依恋被评估为次要结果。以干预后评分为因变量进行协方差分析(ANCOVA),对基线评分进行调整。为了估计Avecmom移动应用程序使用后的变化机制,采用PROCESS Macro Model 6的bootstrapping技术,将干预后的差异评分应用于基线。结果:共有86名孕妇(干预组n=42,对照组n=42)完成研究并纳入最终分析,总体辍学率为4%(4/90)。干预后,干预组抑郁严重程度得分(F1,84=5.69; P= 0.02;部分ƞ2=0.06)低于对照组,正念得分(F1,84=11.18; P= 0.001;部分ƞ2=0.12)、母胎依恋得分(F1,84=5.54; P= 0.02;部分ƞ2=0.06)、心理健康得分(F1,84=8.79; P= 0.004;部分ƞ2=0.10)、积极情绪得分(F1,84=7.21; P= 0.009;部分ƞ2=0.08)高于对照组。串行中介分析显示,Avecmom应用程序的使用通过连续改善正念和降低抑郁严重程度来影响心理健康(标准化β= 0.33;启动SE=0.12, 95% CI 0.12-0.58)。结论:为孕妇量身定制的基于正念的移动应用程序干预可能比单独的自我监测更有效地改善围产期抑郁症。这些发现表明,基于正念的移动应用程序干预可能有助于改善孕妇的心理健康,可能是通过增强正念和降低抑郁严重程度来实现的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness of a Mindfulness-Based Mobile Intervention for Improving Perinatal Mental Health and Reducing Depression During Pregnancy: Randomized Controlled Trial.

Background: Pregnancy is a vulnerable period for women, with an increased risk of mental health issues such as depression and anxiety. The perinatal period is particularly important, as maternal mental health significantly impacts maternal physical health, pregnancy outcomes, postnatal outcomes, and fetal and infant development. Psychotherapeutic interventions for depression are essential, especially given the limitations of medication use during pregnancy. However, perinatal women experiencing depression often encounter barriers to accessing these interventions. Digital health interventions may offer a promising approach to overcome these barriers.

Objective: This study aimed to (1) evaluate the effectiveness of Avecmom, a self-help, mindfulness-based mobile intervention, in reducing depression severity among pregnant women with mild to moderate depression; (2) examine its impact on emotional well-being and maternal-fetal attachment; and (3) explore whether the effect on mental well-being is mediated by increased mindfulness and reduced depression severity.

Methods: Participants were recruited both online and offline. Of 158 screened individuals, 90 met the inclusion criteria and were randomly assigned to either the intervention or control group. The intervention group used both the Avecmom and Big 4+ apps, while the control group used only the Big 4+ app. Depressive symptoms, anxiety, and stress were assessed as primary outcomes at baseline and postintervention. Mindfulness, mental well-being, positive and negative emotions, and maternal-fetal attachment were assessed as secondary outcomes. Analysis of covariance (ANCOVA) was conducted with postintervention scores as the dependent variable, adjusting for baseline scores. To estimate the mechanism of change following Avecmom mobile app use, the bootstrapping technique with PROCESS Macro Model 6 was employed, applying the difference score from postintervention to baseline.

Results: A total of 86 pregnant women (intervention group: n=42; control group: n=42) completed the study and were included in the final analysis, reflecting an overall dropout rate of 4% (4/90). At postintervention, the intervention group demonstrated lower depression severity scores (F1,84=5.69; P=.02; partial ƞ2=0.06) and higher scores of mindfulness (F1,84=11.18; P=.001; partial ƞ2=0.12), maternal-fetal attachment (F1,84=5.54; P=.02; partial ƞ2=0.06), mental well-being (F1,84=8.79; P=.004; partial ƞ2=0.10), and positive affect (F1,84=7.21; P=.009; partial ƞ2=0.08) compared to the control group. Serial mediation analysis revealed that Avecmom app use influenced mental well-being through sequential improvements in mindfulness and decreases in depression severity (standardized β=.33; Boot SE=0.12, 95% CI 0.12-0.58).

Conclusions: Mindfulness-based mobile app interventions tailored for pregnant women may be more effective than self-monitoring alone in improving perinatal depression. These findings suggest that mindfulness-based mobile app interventions may help improve mental well-being in pregnant women, potentially by enhancing mindfulness and reducing depression severity.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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