Wang Peng, Wang Jun, Yuan Xiqing, Yang Shuqi, Wang Xiao, Sun Yu, Ma Chong, Li Wenxuan, Fu Shuying
School of Psychology, Shandong Normal University, Jinan, China.
Jiangsu Provincial Key Constructive Laboratory for Big Data of Psychology and Cognitive Science, Yancheng Teachers University, Yancheng, China.
Curr Psychol. 2022 Aug 19:1-14. doi: 10.1007/s12144-022-03613-x.
In the context of COVID-19, people face conditions of great stress and are susceptible to negative emotions such as worry, fear, and doubt. Therefore, the focus of epidemic prevention should be on mental health as well as physical health. It is important to pay attention to people's mental health while mitigating and controlling the epidemic. As an intervention to improve mental health, exercise behavior has attracted increasing attention from scholars due to its convenience and low cost. Therefore, the goal of this paper was to investigate the differences between characteristics related to linguistic expression and mental health indicators among different groups of Weibo users by constructing a Weibo exercise behavior user lexicon to explore the influence of exercise behavior on mental health. This study developed a user dictionary of exercise behavior, classified Sina Weibo users' exercise behavior, and established relevant systems to uncover the expressive characteristics of psychological vocabulary and behavioral vocabulary to explore the differences in expressive features related to psychological and behavioral vocabulary and mental health indicators among users who engage in different forms of exercise behavior during the period of COVID-19. As a result of an analysis of variance (ANOVA) conducted during the COVID-19 epidemic, (1) based on the constructed user lexicon of motion behavior in Weibo, the classification program exhibited good performance; (2) there were significant differences in the expressions of some lexical features among users who exhibited different motor behaviors; and (3) both nonphysical exercise and physical exercise behavior had positive relationships with some mental health indicators, but the mechanism associated with nonphysical exercise requires further exploration. This study provides a scientific online evaluation methodology and support for research concerning exercise and mental health during the COVID-19 epidemic.
在新冠疫情背景下，人们面临着巨大的压力，容易产生担忧、恐惧和怀疑等负面情绪。因此，疫情防控的重点应兼顾心理健康和身体健康。在缓解和控制疫情的同时关注人们的心理健康非常重要。作为改善心理健康的一种干预方式，运动行为因其便利性和低成本而受到学者们越来越多的关注。因此，本文的目的是通过构建微博运动行为用户词典，研究不同群体微博用户在语言表达特征和心理健康指标方面的差异，以探讨运动行为对心理健康的影响。本研究开发了运动行为用户词典，对新浪微博用户的运动行为进行分类，并建立相关系统，以揭示心理词汇和行为词汇的表达特征，从而探究在新冠疫情期间，不同形式运动行为的用户在心理和行为词汇表达特征以及心理健康指标方面的差异。通过对新冠疫情期间进行的方差分析得出：（1）基于构建的微博运动行为用户词典，分类程序表现良好；（2）表现出不同运动行为的用户在一些词汇特征的表达上存在显著差异；（3）非体育锻炼和体育锻炼行为均与一些心理健康指标呈正相关，但非体育锻炼相关机制尚需进一步探索。本研究为新冠疫情期间运动与心理健康研究提供了科学的在线评估方法和支持。
