Home-made blues: Residential crowding and mental health in Beijing, China

Wang, Xize; Liu, Tao

doi:10.31235/osf.io/cy8hz

Cited by 22 publications

(26 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The “Perceived Social Support Scale” (PSSS) was developed by Zimet et al (1988) [ 26 ] and adapted by Wang et al (1999) [ 27 ]. The scale includes 12 items rated on a seven-point Likert format.…”

Section: Methodsmentioning

confidence: 99%

Reliability and validity of the Chinese version of the COVID-19 Phobia Scale

et al. 2022

View full text Add to dashboard Cite

Background The COVID-19 pandemic has become a source of fear worldwide and has negative mental health effects on the general population. In 2022, the epidemic continues to be characterized by many points, widespread and frequent in China, and the situation is serious and complex. To provide an effective and scientific tool, the study validated the Chinese version of the COVID-19 Phobia Scale (C19P-SC). Methods This study selected 1138 Chinese individuals (age ranged 13 to 80). Results Cronbach’s alpha coefficient for the C19P-SC was 0.93 (the coefficients of the four dimensions ranged from 0.75 to 0.85). The results of the confirmatory factor analysis supported the four-factor structure of the C19P-SC. Meanwhile, there was a positive and significant correlation between coronaphobia and state anxiety (r = 0.48, p < 0.001). The metric invariance hypothesis and the scalar invariance hypothesis were valid in the different subgroups. Significant multivariate effects of gender, education level, and identity differences on coronaphobia were found. Conclusions The Chinese version of the COVID-19 Phobia Scale has good psychometric properties and is suitable for measuring COVID-19 phobia in Chinese individuals.

show abstract

Section: Methodsmentioning

confidence: 99%

Reliability and validity of the Chinese version of the COVID-19 Phobia Scale

et al. 2022

View full text Add to dashboard Cite

show abstract

“…SSRS consists of three subscales: subjective support (four items on the number of friends who offered assistance, relationship with neighbors, relationship with colleagues, and the level of support from family members), objective support (three items on the living conditions in the past year, problem-solving channels in emergency situations, and the sources of psychological comfort in the event of stress or resistance), and support utilization (three items on the way one expresses when in trouble, the way in which one seeks help when in trouble, and the willingness of participation in group activities). The total SSRS score is the sum of these three subscales scores, with a higher score indicating higher levels of social support ( 28 ). In this study, the Cronbach’s alpha value of SSRS was 0.844.…”

Section: Methodsmentioning

confidence: 99%

Relationship between social support, anxiety, and depression among frontline healthcare workers in China during COVID-19 pandemic

et al. 2022

View full text Add to dashboard Cite

BackgroundSocial support is an important factor affecting individual mental health. However, the relationship between social support and mental health in frontline healthcare workers (FHW) during the coronavirus disease 2019 (COVID-19) pandemic has garnered less attention. In this study, we aimed to investigate the level of social support and the prevalence of depression and anxiety in FHW during the COVID-19 pandemic and determine the factors affecting the relationship between social support, depression, and anxiety.MethodsA cross-sectional study using an online survey was conducted to collect data from FHW between 15 February and 31 March 2020 in China. The data included demographic factors, Self-rated Depression Scale (SDS), Self-rated Anxiety Scale (SAS), and Social Support Rate Scale (SSRS). Spearman correlation test was performed to determine the correlation among SAS, SDS, and SSRS scores. Multiple linear regression analysis was performed to determine the relationship among demographic factors, social support, depression, and anxiety in FHW.ResultsOf all 201 participants, 44 (21.9%) had depressive symptoms and 32 (15.9%) had anxiety symptoms. The average total SSRS scores among FHW were lower than that of the norms of the Chinese general population (37.17 ± 7.54 versus 44.38 ± 8.38, P < 0.001). Marital status positively affected the SSRS score (β = 7.395, P < 0.01). Age over 40 years old negatively affected the SSRS score (β = −5.349, P = 0.017). The total SSRS score, subjective social support score, objective social support score, and support utilization score among FHW negatively correlated with the SAS score and SDS score (P < 0.05). A lower support utilization score was significantly associated with high anxiety and depressive symptoms (β = −0.869, P = 0.024; β = −1.088, P = 0.035, respectively).ConclusionDuring the COVID-19 pandemic, FHW experienced depression, anxiety, and inadequate social support. The marital status and age had a major impact on social support. Social support was inversely associated with depression and anxiety. Improving the mental health of FHW by strengthening social support is crucial. Future studies are needed to investigate how to improve the level of social support and mental health condition of FHW facing public health emergencies in the future.

show abstract

“…In the past 10 years, the Chinese population’s sleep time has been delayed by more than 2 h, and the sleep duration has been shortened by nearly 1.5 h [ 1 ]. One primary reason is bedtime procrastination, defined as “failing to go to bed at the intended time, while no external circumstances prevent a person from doing so” [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Future Time Perspective and Bedtime Procrastination: The Mediating Role of Dual-Mode Self-Control and Problematic Smartphone Use

Mao

Chen

Wei

et al. 2022

IJERPH

View full text Add to dashboard Cite

This study examined bedtime procrastination predictors and the development process concerning health behavior. Based on temporal self-regulation theory and the self-regulatory framework of time perspective, we examined the effects of future time perspective, dual-model of self-control, and problematic smartphone use on bedtime procrastination. Further, including the mediating role of dual-mode self-control and problematic smartphone use in the effects of future time perspective on bedtime procrastination among 3687 participants (38.73% male; Mage = 16.17 years, SD = 2.42, range = 11–23) Chinese students. The results showed that the future time perspective, dual-mode self-control, and problematic smartphone use had significant predictive effects on bedtime procrastination. Importantly, the negative effect of future time perspective on bedtime procrastination is mediated by the impulse system, control system, and problematic smartphone use separately and serially mediated by the impulse system and problematic smartphone use, rather than the control system and problematic smartphone use; these findings extend previous research on the contributing factors of bedtime procrastination and provide an empirical basis for promoting people to form healthy sleep habits.

show abstract

Home-made blues: Residential crowding and mental health in Beijing, China

Cited by 22 publications

References 0 publications

Reliability and validity of the Chinese version of the COVID-19 Phobia Scale

Reliability and validity of the Chinese version of the COVID-19 Phobia Scale

Relationship between social support, anxiety, and depression among frontline healthcare workers in China during COVID-19 pandemic

Future Time Perspective and Bedtime Procrastination: The Mediating Role of Dual-Mode Self-Control and Problematic Smartphone Use

Contact Info

Product

Resources

About