Heshmati Saida, Muth Chelsea, Li Yanling, Roeser Robert W, Smyth Joshua M, Vandekerckhove Joachim, Chow Sy-Miin, Oravecz Zita
Department of Psychology, Claremont Graduate University, Claremont, USA.
Westhampton Family Psychologists, Richmond, Virginia, USA.
Appl Psychol Health Well Being. 2025 Jun;17(3):e70037. doi: 10.1111/aphw.70037.
Research shows that skills for improving Psychological Well-Being (PWB) may be learned through PWB interventions; however, the dynamic mechanisms underlying this learning process are not well understood. Using an Ecological Momentary Intervention (EMI) design, we conducted an 8-week Randomized Controlled Trial (N = 160; aged 18-22 years), implemented in a mobile Health (mHealth) platform to characterize these dynamical mechanisms. College-attending early adults were randomized to three groups: an active control group (N = 55); an intervention group (N = 51) with positive practices intervention; and a second intervention group (N = 54) with positive practices and meditation intervention. The mHealth implementation allowed us to introduce the interventions in participants' daily lives while also assessing their PWB (in terms of positive emotions and relationship quality) several times a day. We used a Bayesian process model to analyze changes in PWB in terms of the underlying dynamical characteristics of change. Findings suggested that the mobile assessment tool itself may have longitudinally improved college-attending early adults' PWB, as evidenced by instances of directional changes in dynamic characteristics (increased within-person mean levels, decreased intra-individual variability, and increased regulation) of PWB measures. Moderation analysis also revealed that people who were low on negative affect improved the most in terms of their mean levels of positive emotions and relationship quality.
研究表明，改善心理健康（PWB）的技能可以通过心理健康干预来学习；然而，这一学习过程背后的动态机制尚未得到充分理解。我们采用生态瞬时干预（EMI）设计，在移动健康（mHealth）平台上进行了一项为期8周的随机对照试验（N = 160；年龄在18 - 22岁之间），以刻画这些动态机制。上大学的早期成年人被随机分为三组：一个积极对照组（N = 55）；一个接受积极实践干预的干预组（N = 51）；以及一个接受积极实践和冥想干预的第二干预组（N = 54）。mHealth的实施使我们能够在参与者的日常生活中引入干预措施，同时每天多次评估他们的心理健康（从积极情绪和人际关系质量方面）。我们使用贝叶斯过程模型，根据变化的潜在动态特征来分析心理健康的变化。研究结果表明，移动评估工具本身可能在纵向改善了上大学的早期成年人的心理健康，心理健康测量指标的动态特征出现方向性变化（个体内平均水平提高、个体内变异性降低以及调节增加）的情况证明了这一点。调节分析还显示，消极情绪水平较低的人在积极情绪平均水平和人际关系质量方面改善最大。
