Chen Song, Wu Di, Nie KaiYue, Tian Yuqi, Ma Ruixin, Gao Fashui, Ma Guofang
Department of Health Management, Xinjiang Medical University, Urumqi, China.
Department of Foreign Languages, Xinjiang University, Urumqi, China.
PLoS One. 2025 Jun 23;20(6):e0325965. doi: 10.1371/journal.pone.0325965. eCollection 2025.
Previous research has established connections between pre- and postmenopause, physical activity, and depression. This study aims to delve deeper into the network structure of depressive symptoms and specific manifestations of these symptoms at different levels of physical activity during pre- and postmenopause, utilizing network analysis as a tool.
Our research utilized data samples from the National Health and Nutrition Examination Survey (NHANES) spanning from 2009 to 2018. We assessed depression symptoms through the Patient Health Questionnaire-9, while categorizing physical activity based on the Metabolic Equivalent of Task (MET) values recommended by NHANES and the U.S. physical activity guidelines. We conducted an analysis of the depression symptoms network across varying levels of physical activity, both pre and post-menopause, to identify core symptoms within the network using 'strength' statistics. Furthermore, we evaluated the stability of the network structure via network stability and edge weight difference tests.
Within the network model of depressive symptoms, both pre- and post-menopause, 'Sad Mood' emerged as the most central symptom, positioning itself as the core of the network. Furthermore, there was a noticeable decrease in the correlation between depressive symptoms and a reduced stability in the network structure during periods of high physical activity compared to those of low physical activity (88.9% → 66.7%, 80.5% → 72.2%). Notably, no significant structural differences were observed between the pre-menopausal and post-menopausal network models, regardless of physical activity levels (PS > 0.05, PM > 0.05).
The symptom of 'Sad Mood' is pivotal in the network of depressive symptoms observed in both pre- and post-menopausal women. Engaging in high levels of physical activity may diminish the centrality of this symptom within the network, thereby weakening its association with other symptoms. Prioritizing attention to 'Sad Mood' symptoms during the pre- and post-menopausal phases could be instrumental in mitigating and forestalling the exacerbation of depressive distress.
先前的研究已经建立了绝经前后、身体活动与抑郁症之间的联系。本研究旨在利用网络分析工具,更深入地探究绝经前后不同身体活动水平下抑郁症状的网络结构及其这些症状的具体表现。
我们的研究使用了2009年至2018年美国国家健康与营养检查调查(NHANES)的数据样本。我们通过患者健康问卷-9评估抑郁症状,同时根据NHANES和美国身体活动指南推荐的代谢当量(MET)值对身体活动进行分类。我们对绝经前后不同身体活动水平的抑郁症状网络进行了分析,使用“强度”统计来识别网络中的核心症状。此外,我们通过网络稳定性和边权重差异测试评估了网络结构的稳定性。
在抑郁症状的网络模型中,绝经前后,“悲伤情绪”均成为最核心的症状,处于网络的核心位置。此外,与低身体活动水平时期相比,高身体活动水平时期抑郁症状之间的相关性显著降低,网络结构的稳定性也有所下降(88.9%→66.7%,80.5%→72.2%)。值得注意的是,无论身体活动水平如何,绝经前和绝经后的网络模型之间均未观察到显著的结构差异(PS>0.05,PM>0.05)。
“悲伤情绪”症状在绝经前后女性观察到的抑郁症状网络中至关重要。进行高水平的身体活动可能会降低该症状在网络中的核心地位,从而削弱其与其他症状的关联。在绝经前后阶段优先关注“悲伤情绪”症状可能有助于减轻和预防抑郁困扰的加剧。