Objectives: This study aims to explore quarantined individuals' emotional well-being over time and how personal response and life activity predict emotional well-being and its change.
Design/methods: Daily data were collected from 134 participants with 71 having 14 consecutive days' data. Hierarchical linear modeling (HLM) and General Linear Model (GLM) were used to examine the primary tests.
Results: Overall, positive and negative emotions declined significantly during the surveyed period. Meanwhile, differences were observed in the level of positive, depressed, and negative emotions and/or patterns of change among different population categories. The personal response of worrying about work and life was positively related to depressed and negative emotions at baseline, but was negatively related to the development of both depressed and negative emotions over time. Among life activities, family stressor was a significant predictor for both depressed and negative emotions while social support predicted positive emotions. Moreover, health & hygiene activity was positively related to positive emotions at baseline.
Conclusions: The results provide scientific evidence for public health policymakers on quarantine policies and inform the general public about quarantine life. They highlight the importance of addressing the needs of vulnerable groups (parents with young children, divorcees, clinicians) during the pandemic, and demonstrate the benefits of promoting healthcare and hygiene activity, having a sense of worry and access to social support.
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http://dx.doi.org/10.1080/08870446.2021.1934470 | DOI Listing |
PLoS One
January 2025
Department of Political Science, Middlebury College, Middlebury, Vermont, United States of America.
Assessing whether texts are positive or negative-sentiment analysis-has wide-ranging applications across many disciplines. Automated approaches make it possible to code near unlimited quantities of texts rapidly, replicably, and with high accuracy. Compared to machine learning and large language model (LLM) approaches, lexicon-based methods may sacrifice some in performance, but in exchange they provide generalizability and domain independence, while crucially offering the possibility of identifying gradations in sentiment.
View Article and Find Full Text PDFPLoS One
January 2025
Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
Green innovation is essential for sustainable development, especially in China's Specialized-Refined-Differentiated-Innovative (SRDI) enterprises. Family-owned SRDI firms, in particular, have attracted attention due to their de-familization strategies and their influence on green innovation. Our study analyzes panel data from 2016 to 2021 for listed SRDI family firms to investigate how de-familization in management rights and ownership impacts green innovation.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of ICU, Ningbo Medical Centre Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
The objective of this study is to examine the phenomenon of workplace bullying and its potential associations with burnout and depression among clinical nurses in China. A convenience sampling method was utilized to conduct a survey among 415 clinical nurses across 9 hospitals. All questionnaires were completed within a 2-week period in October 2023.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Centro Universitario de Enfermería Cruz Roja, University of Seville, Seville, Spain.
Background: There is an increased prevalence of mental health problems in various population groups as a result of the COVID-19 pandemic and its consequences, especially regarding anxiety, stress, depression, fear, and sleep disturbances, require to be investigated longitudinally.
Objective: This study aimed to determine the impact that the COVID-19 pandemic had on the mental health of Nursing students, as well as to examine other associated factors such as anxiety, fear, sleep disturbances, and coping strategies.
Method: This systematic review and meta-analysis were designed following the PRISMA guidelines and were registered in PROSPERO with code CRD42024541904.
Breast Cancer Res Treat
January 2025
Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Background: Globally, Breast Cancer (BC) is the most frequent cancer in women and has a major negative impact on the physical and emotional well-being of its patients as well as one of the most common cancers to be diagnosed. Numerous studies have been published to identify various molecular pathways, including PI3K/AKT/PTEN. Moreover, growing evidence suggests that miRNAs have been found to play a vital role in the growth and carcinogenesis of tumors.
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