Dataset Information

Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China.

ABSTRACT:

Background

As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load.

Objective

During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load.

Methods

An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed.

Results

There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; p = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18-1.31; p < 0.01), depression (OR = 1.23; 95% CI 1.17-1.29; p < 0.01), somatization (OR = 1.20; 95% CI 1.14-1.25; p < 0.01), hostility (OR = 1.24; 95% CI 1.18-1.30; p < 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34-1.66; p < 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78-0.89; p < 0.01), subjective support (OR = 0.84; 95% CI 0.80-0.88; p < 0.01), utilization of support (OR = 0.80; 95% CI 0.72-0.88; p < 0.01), social support (OR = 0.90; 95% CI 0.87-0.93; p < 0.01), and global well-being (OR = 0.30; 95% CI 0.22-0.41; p < 0.01) were negatively associated.

Conclusions

In the post-COVID-19 epidemic time, medical and nonmedical workers had similar allostatic load. Psychological distress and abnormal illness behavior were risk factors for it, while social support could relieve it.

SUBMITTER: Peng M

PROVIDER: S-EPMC7705943 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China.

Peng Mao M Wang Li L Xue Qing Q Yin Lu L Zhu Bo-Heng BH Wang Kun K Shangguan Fang-Fang FF Zhang Pei-Ran PR Niu Yan-Yan YY Zhang Wen-Rui WR Zhao Wen-Feng WF Wang Huang H Lv Jing J Song Hai-Qing HQ Min Bao-Quan BQ Leng Hai-Xia HX Jia Yu Y Chang Hong H Yu Zhi-Peng ZP Tian Qing Q Yang Yuan Y Zhu Zhou Z Li Wei W Gao Xiao-Ling XL Liu Xiao-Lei XL Yang Mei M Wang Ping P Wei Peng-Hu PH Wang Chun-Xue CX Li Jin-Na JN Jia Long-Bin LB Huang Xiao-Min XM Li Dong-Ning DN Xu Dong-Juan DJ Deng Yun-Long YL Si Tian-Mei TM Dong Hui-Qing HQ Wang Yu-Ping YP Cosci Fiammetta F Wang Hong-Xing HX

Psychotherapy and psychosomatics 20201105 2

<h4>Background</h4>As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load.<h4>Objective</h4>During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load.<h4>Methods</h4>An online study was performed; 3,590 Chinese subjects were analyzed. Socio-demographic variables, allostatic load, stress, abnormal illness behavior, global well-being, mental status, and social support were assessed.<h4>Results</h4>There was no ...[more]

PMID: 33152729

Similar Datasets

Project description:Background Since the beginning of the COVID-19 pandemic, health professionals have been working under extreme conditions, increasing the risk of physical and mental illness. We evaluated the prevalence of burnout and its associated factors among postgraduate student residents in health professions during the global health crisis. Methods Healthcare residents were recruited from all across Brazil between July and September 2020 through digital forms containing instruments for assessing burnout (Oldenburg Burnout Inventory (OLBI)), resilience (brief resilient coping scale (BRCS)) and anxiety, stress and depression (depression, anxiety and stress scale (DASS-21) and Patient Health Questionnaire (PHQ-9)). Additionally, the relationships between burnout and chronic diseases, autonomy and educational adequacy in the residency programme, personal protective equipment (PPE), workload and care for patients with COVID-19 were evaluated. The chi-square test, Student’s t test, Pearson’s correlation test and logistic regression were performed. Results A total of 1,313 participants were included: mean (standard deviation) age, 27.8 (4.4) years; female gender, 78.1%; white race, 59.3%; and physicians, 51.3%. The overall prevalence of burnout was 33.4%. The odds (odds ratio [95% confidence interval]) of burnout were higher in the presence of pre-existing diseases (1.76 [1.26–2.47]) and weekly work > 60 h (1.36 [1.03–1.79]) and were lower in the presence of high resilience (0.84 [0.81–0.88]), autonomy (0.87 [0.81–0.93]), and educational structure (0.77 [0.73–0.82]), adequate availability of PPE (0.72 [0.63–0.83]) and non-white race (0.63 [0.47–0.83]). Burnout was correlated with anxiety (r = 0.47; p < 0.05), stress (r: 0.58; p < 0.05) and depression (r: 0.65; p < 0.05). Conclusions We observed a high prevalence of burnout among residents during the COVID-19 pandemic. Individual characteristics and conditions related to the work environment were associated with a higher or lower occurrence of the syndrome.

Dataset Information

Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China.

Background

Objective

Methods

Results

Conclusions

Publications

Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China.

Similar Datasets

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