Sasaki Authers Natsu, Sawada Utako, Ogawa Sayaka, Takeno Hajime, Shimazu Taichi, Tsutsumi Akizumi, Imamura Kotaro
Department of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Department of Nursing, School of Health and Social Services, Saitama Prefectural University, Saitama, Japan.
Sci Rep. 2025 Jul 16;15(1):25686. doi: 10.1038/s41598-025-11206-4.
Enhancing the well-being of mentally healthy workers (i.e., those with lower psychological distress) is important to prevent mental health conditions, aligning with the trend of occupational positive psychology. No intervention study has investigated the effect of digital health intervention on well-being among workers with low levels of psychological distress in micro- and small-sized enterprises (MSEs). This secondary analysis examined the effectiveness of a fully automated text-based stress management program, "WellBe-LINE," using the LINE app to improve the well-being of employees with low levels of psychological distress in MSEs. It used data from a previous randomized controlled trial (RCT) study. The previous RCT recruited adult Japanese full-time employees at an enterprise with fewer than 50 employees from registered members of a web survey company. From the RCT, only participants with low psychological distress (Kessler 6 score under 4) were employed for the present analyses. Participants in an intervention group received text messages once per week for 8 weeks. Well-being was assessed by the Mental Health Continuum-Short Form (MHC-SF) at baseline, post (2-month), and follow-up (6-month) surveys. A mixed model for repeated measures conditional growth model analysis was conducted using a group*time interaction as an intervention effect. 638 (62.5%) participants with low psychological distress were included in this secondary analysis from the 1,021 total participants. The intervention group showed a significant intervention effect post survey on improving well-being (Cohen's d = 0.19 [95%CI 0.03-0.35], p = 0.016) and social well-being at both the post and follow-up survey with a small effect size (Cohen's d = 0.26 [95%CI: 0.10-0.42], d = 0.17 [0.002-0.34]; respectively). No effect was observed on emotional and psychological well-being. This study suggested that fully automated universal mental health interventions with low intensity may benefit the healthy population. Further research is needed, focusing on the development and evaluation of programs aimed at promoting well-being and positive mental health among mentally healthy workers as part of primary mental health prevention.Trial registration: The study protocol was registered in the UMIN clinical trial registration before starting recruitments: UMIN000050624 (registration date: March 18, 2023) https://center6.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000057552 .
提升心理健康的员工（即心理困扰较低的员工）的幸福感对于预防心理健康问题至关重要，这与职业积极心理学的趋势相一致。尚无干预研究调查数字健康干预对微型和小型企业（MSE）中心理困扰水平较低的员工幸福感的影响。这项二次分析使用LINE应用程序检验了一个基于文本的全自动压力管理程序“WellBe-LINE”对提升微型和小型企业中心理困扰水平较低的员工幸福感的有效性。它使用了之前一项随机对照试验（RCT）研究的数据。之前的RCT从一家网络调查公司的注册会员中招募了一家员工少于50人的企业中的成年日本全职员工。在本次分析中，仅纳入了心理困扰较低（凯斯勒6项量表得分低于4）的参与者。干预组参与者连续8周每周收到一次短信。在基线、干预后（2个月）和随访（6个月）调查中，使用心理健康连续体简表（MHC-SF）评估幸福感。使用组*时间交互作用作为干预效应，进行重复测量条件增长模型分析的混合模型。在1021名总参与者中，638名（62.5%）心理困扰较低的参与者被纳入此次二次分析。干预组在干预后调查中显示出对提升幸福感有显著干预效应（科恩d值=0.19 [95%置信区间0.03 - 0.35]，p = 0.016），并且在干预后和随访调查中对社会幸福感有小效应量的显著影响（科恩d值分别为0.26 [95%置信区间：0.10 - 0.42]，0.17 [0.002 - 0.34]）。在情绪和心理幸福感方面未观察到影响。这项研究表明，低强度的全自动通用心理健康干预可能对健康人群有益。需要进一步开展研究，重点关注旨在促进心理健康的员工的幸福感和积极心理健康的项目的开发和评估，作为初级心理健康预防的一部分。试验注册：该研究方案在开始招募之前已在UMIN临床试验注册中心注册：UMIN000050624（注册日期：2023年3月18日）https://center6.umin.ac.jp/cgi-bin/ctr/ctr_view_reg.cgi?recptno=R000057552 。
