Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Liu, Tianli; Li, Sijia; Qiao, Xiujuan; Song, Xiaomin

doi:10.3390/healthcare9070833

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Second, the increased daily case numbers wreak psychological havoc on Chinese people (Liu et al, 2021), which negatively affect Chinese people's attitudes toward volunteerism. Individual characteristic also demonstrates high proportions of negative emotion.…”

Section: Loneliness (Topic 10)mentioning

confidence: 99%

Topic modeling and sentiment analysis of Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic

Yin

Tian

et al. 2022

Front. Psychol.

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The COVID-19 pandemic has created an urgent need for volunteers to complement overwhelmed public health systems. This study aims to explore Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic. To this end, we identify the latent topics in volunteerism-related microblogs on Weibo, the Chinese equivalent of Twitter using the topic modeling analysis via Latent Dirichlet Allocation (LDA). To further investigate the public sentiment toward the topics generated by LDA, we also conducted sentiment analysis on the sample posts using the open-source natural language processing (NLP) technique from Baidu. Through an in-depth analysis of 91,933 Weibo posts, this study captures 10 topics that are, in turn, distributed into five factors associated with volunteerism in China as motive fulfillment (n = 31,661, 34.44%), fear of COVID-19 (n = 22,597, 24.58%), individual characteristic (n = 17,688, 19.24%), government support (n = 15,482, 16.84%), and community effect (n = 4,505, 4.90%). The results show that motive fulfillment, government support, and community effect are the factors that could enhance positive attitudes toward volunteerism since the topics related to these factors report high proportions of positive emotion. Fear of COVID-19 and individual characteristic are the factors inducing negative sentiment toward volunteerism as the topics related to these factors show relatively high proportions of negative emotion. The provision of tailored strategies based on the factors could potentially enhance Chinese people’s willingness to participate in volunteer activities during the COVID-19 pandemic.

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Section: Loneliness (Topic 10)mentioning

confidence: 99%

Topic modeling and sentiment analysis of Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic

Yin

Tian

et al. 2022

Front. Psychol.

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“…Indeed, children's emotional and behavioural functioning severely deteriorated during the epidemic, according to the World Health Organization (n.d.) (Liu et al., 2021). Schools have been closed to reduce the spread of the COVID‐19 virus, reducing opportunities of in‐person socialisation with peers, play outside, and exercise (de Lannoy et al., 2020; Moore et al., 2020), while screen time have increased (Orgilés et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Psychopathological risk stability and change in a sample of mothers and preschool children before, during and after the peak of COVID‐19 pandemic

Cimino,

Tambelli,

Genova

et al. 2023

Stress and Health

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Numerous studies have found that the COVID‐19 epidemic and the measures to stop it have had a substantial impact on the mental health of the general population. Nevertheless, the majority of this research only looked at the variations in the degree of psychopathological symptoms in individuals before and after the first wave of the pandemic. In a sample of N = 380 preschoolers and their mothers assessed through the Symptom Check‐List/90‐R and of the Child Behaviour Check‐List, the present study aimed at exploring psychopathological risk in mothers and their offspring's dysregulation levels before (T1), during (T2) and after (T3) the peak of COVID‐19 pandemic. Our main results showed that mothers' relational distress increased from T1 to T2 and then increased again from T2 to T3. Moreover, maternal aggressiveness, hostility, and anxiety scores significantly decreased from T1 to T2 but slightly increased from T2 to T3. In children, dysregulation levels increased from T1 to T2 but decreased from T2 to T3. Children of mothers with clinical scores at the SCL‐90/R showed significantly higher dysregulation problems at T1, T2 and T3 than children of mothers with scores below the clinical threshold. This study adds to previous literature in that it evaluates stability or change in maternal and offspring scores not only in the pre‐pandemic period and during the first wave of the pandemic, but it also considers the subsequent months, focusing on a broad range of maternal symptoms, rather than assessing depressive and anxiety symptoms as most of previous research did.

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“…According to the survey conducted by Huang et al, the 12-month prevalence rate of any mental disorder was 9.3% and the lifetime prevalence rate of any mental disorder was 16.6% [1]. The outbreak and rapid spread of the COVID-19 pandemic have severely worsened the mental health of the Chinese people due to the contagious nature of the virus [2], the daily updated case numbers [3], and quarantine and lockdown policies [4], leading to mental health symptoms such as stress disorder, depression, anxiety, and post-traumatic stress disorder (PTSD) [5,6]. The improvement of mental health in China is therefore of great urgency and importance, which arouses the interest of many researchers.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach

Yin

Tian

et al. 2022

IJERPH

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Mental health attitude has huge impacts on the improvement of mental health. In response to the ongoing damage the COVID-19 pandemic caused to the mental health of the Chinese people, this study aims to explore the factors associated with mental health attitude in China. To this end, we extract the key topics in mental health-related microblogs on Weibo, the Chinese equivalent of Twitter, using the structural topic modeling (STM) approach. An interaction term of sentiment polarity and time is put into the STM model to track the evolution of public sentiment towards the key topics over time. Through an in-depth analysis of 146,625 Weibo posts, this study captures 12 topics that are, in turn, classified into four factors as stigma (n = 54,559, 37.21%), mental health literacy (n = 32,199, 21.96%), public promotion (n = 30,747, 20.97%), and social support (n = 29,120, 19.86%). The results show that stigma is the primary factor inducing negative mental health attitudes in China as none of the topics related to this factor are considered positive. Mental health literacy, public promotion, and social support are the factors that could enhance positive attitudes towards mental health, since most of the topics related to these factors are identified as positive ones. The provision of tailored strategies for each of these factors could potentially improve the mental health attitudes of the Chinese people.

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Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Cited by 7 publications

References 34 publications

Topic modeling and sentiment analysis of Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic

Topic modeling and sentiment analysis of Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic

Psychopathological risk stability and change in a sample of mothers and preschool children before, during and after the peak of COVID‐19 pandemic

Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach

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