Xiaocui Huang, Shengyao Ye, Samsudin Nadia, Kuan Li, Xuefen Lin
Wenzhou No.7 People's Hospital, Ouhai District, Wenzhou, Zhejiang Province, China.
Mental Health Center, Wenzhou Vocational College of Science and Technology, Wenzhou, Zhejiang Province, China.
BMC Womens Health. 2025 Jul 16;25(1):351. doi: 10.1186/s12905-025-03907-9.
The proliferation of mobile health (mHealth) applications has markedly influenced self-management practices related to obesity and mental well-being. However, the effectiveness of fitness apps in enhancing health outcomes is closely tied to their frequency of usage, a factor that has been insufficiently explored, especially among postpartum populations.
This study aimed to propose and empirically test a structural equation modeling (SEM) framework to examine the moderating effects of fitness app usage frequency on the relationships among obesity, lifestyle behaviors, dietary habits, and mental health outcomes among postpartum women.
A cross-sectional self-reported online survey was administered to postpartum women in Malaysia within one year after childbirth, collecting 468 valid responses. Participants were categorized into four distinct groups based on their frequency of fitness app usage: daily, weekly, rarely, and never.
The SEM analyses highlighted significant variations among the four user groups. The daily-user model exhibited the strongest explanatory power (R² = 0.82), followed by weekly (R² = 0.79), rarely (R² = 0.66), and never-user groups (R² = 0.59). Specifically, in the daily-user group, demographic factors, lifestyle behaviors, dietary intake, and Body Mass Index (BMI) explained 82% of the variance in mental health outcomes. Across all usage categories, BMI consistently demonstrated a significant negative relationship with mental health symptoms, suggesting better mental health among participants with lower BMI. Further, factor loading analyses identified screen time (0.89) and physical activity (0.81) as dominant indicators of lifestyle behaviors. Frequent app users (daily and weekly) displayed healthier dietary choices and lower BMI scores compared to infrequent users.
Regular engagement with fitness mHealth applications is associated with better mental health and may support obesity management among postpartum women. This study underscores the critical moderating role of app usage frequency in optimizing health outcomes, providing practical implications for public health strategies and interventions targeting postpartum populations.
移动健康(mHealth)应用程序的激增显著影响了与肥胖和心理健康相关的自我管理实践。然而,健身应用程序在改善健康结果方面的有效性与其使用频率密切相关,这一因素尚未得到充分探索,尤其是在产后人群中。
本研究旨在提出并实证检验一个结构方程模型(SEM)框架,以检验健身应用程序使用频率对产后女性肥胖、生活方式行为、饮食习惯和心理健康结果之间关系的调节作用。
对马来西亚产后一年内的女性进行了一项横断面自我报告在线调查,收集了468份有效回复。参与者根据其健身应用程序的使用频率分为四个不同组:每天使用、每周使用、很少使用和从不使用。
SEM分析突出了四个用户组之间的显著差异。每日用户模型表现出最强的解释力(R² = 0.82),其次是每周用户(R² = 0.79)、很少用户(R² = 0.66)和从不用户组(R² = 0.59)。具体而言,在每日用户组中,人口统计学因素、生活方式行为、饮食摄入量和体重指数(BMI)解释了心理健康结果中82%的方差。在所有使用类别中,BMI始终与心理健康症状呈显著负相关,表明BMI较低的参与者心理健康状况更好。此外,因子负荷分析确定屏幕时间(0.89)和身体活动(0.81)是生活方式行为的主要指标。与不经常使用应用程序的用户相比,频繁使用应用程序的用户(每天和每周)表现出更健康的饮食选择和更低的BMI分数。
经常使用健身mHealth应用程序与更好的心理健康相关,可能有助于产后女性的肥胖管理。本研究强调了应用程序使用频率在优化健康结果方面的关键调节作用,为针对产后人群的公共卫生策略和干预措施提供了实际意义。