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Nurs Open ; 2023 Jun 06.
Article in English | MEDLINE | ID: covidwho-20238998


AIM: The aim of this study was to identify the influencing factors of sleep disorders and sleep quality in healthcare workers during the COVID-19 pandemic. DESIGN: Systematic review and meta-analysis of observational research. METHODS: The databases of the Cochrane Library, Web of Science, PubMed, Embase, SinoMed database, CNKI, Wanfang Data, and VIP were systematically searched. The quality of studies was assessed using the Agency for Healthcare Research and Quality evaluation criteria and the Newcastle-Ottawa scale. RESULTS: A total of 29 studies were included, of which 20 were cross-sectional studies, eight were cohort studies, and 1 was a case-control study; 17 influencing factors were finally identified. Greater risk of sleep disturbance was associated with female gender, single relationship status, chronic disease, insomnia history, less exercise, lack of social support, frontline work, days served in frontline work, department of service, night shift, years of work experience, anxiety, depression, stress, received psychological assistance, worried about being infected, and degree of fear with COVID-19. CONCLUSIONS: During the COVID-19 pandemic, healthcare workers did have worse sleep quality than the general population. The influencing factors of sleep disorders and sleep quality in healthcare workers are multifaceted. Identification and timely intervention of resolvable influencing factors are particularly important for preventing sleep disorders and improving sleep. PATIENT OR PUBLIC CONTRIBUTION: This is a meta-analysis of previously published studies so there was no patient or public contribution.

Leadership & Organization Development Journal ; 43(6):817-834, 2022.
Article in English | ProQuest Central | ID: covidwho-1992547


Purpose>This study aims to advance the bottom-line mentality (BLM) literature by drawing on goal-setting theory to examine the positive effects of supervisor BLM on employees' behavior.Design/methodology/approach>The authors collected survey data from 291 full-time employees from various Chinese organizations at three different points in time.Findings>The authors found that supervisor BLM and employees' collectivism orientation interacted to influence employees' bottom-line goal commitment such that the positive relationship between supervisor BLM and employees' bottom-line goal commitment was stronger when employees' collectivism orientation was high rather than low. Furthermore, they found that employees' collectivism orientation moderated the positive indirect effects of supervisor BLM on employees' work effort and helping behavior via bottom-line goal commitment such that the indirect effects were stronger when employees had a high rather than a low collectivism orientation.Originality/value>The authors explored the “bridge side” of supervisor BLM on employees' behavior, especially after being moderated by collectivism orientation. Our results can help managers develop a comprehensive understanding of BLM.

J Infect ; 84(1): 56-63, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1510025


BACKGROUND: Real-time surveillance of search behavior on the internet has achieved accessibility in measuring disease activity. In this study, we systematically assessed the associations between internet search trends of gastrointestinal (GI) symptom terms and daily newly confirmed COVID-19 cases at both global and regional levels. METHODS: Relative search volumes (RSVs) of GI symptom terms were derived from internet search engines. Time-series analyses with autoregressive integrated moving average models were conducted to fit and forecast the RSV trends of each GI symptom term before and after the COVID-19 outbreak. Generalized additive models were used to quantify the effects of RSVs of GI symptom terms on the incidence of COVID-19. In addition, dose-response analyses were applied to estimate the shape of the associations. RESULTS: The RSVs of GI symptom terms could be characterized by seasonal variation and a high correlation with symptoms of "fever" and "cough" at both global and regional levels; in particular, "diarrhea" and "loss of taste" were abnormally increased during the outbreak period of COVID-19, with elevated point changes of 1.31 and 8 times, respectively. In addition, these symptom terms could effectively predict a COVID-19 outbreak in advance, underlying the lag correlation at 12 and 5 days, respectively, and with mutual independence. The dose-response curves showed a consistent increase in daily COVID-19 risk with increasing search volumes of "diarrhea" and "loss of taste". CONCLUSION: This is the first and largest epidemiologic study that comprehensively revealed the advanced prediction of COVID-19 outbreaks at both global and regional levels via GI symptom indicators.

COVID-19 , Disease Outbreaks , Epidemiologic Studies , Humans , Internet , SARS-CoV-2