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

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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

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Project description:BackgroundPhysical ailments and mental illness among college students are surging in recent years, which warrants urgent and comprehensive health research.ObjectiveTo investigate whether there is a disparity in allostatic load between medical and non-medical college students, and to identify the influencing factors on allostatic load.MethodsA cross-sectional study involving 8,253 college students was conducted. We used modified Poisson regression analysis of generalized linear models to examine allostatic load between the two groups of students based on biological, psychological, and sociological factors.ResultsThe prevalence risk of allostatic load in non-medical students was significantly higher than that in medical students (18.9% vs. 14.1%, P < 0.001). Modified Poisson regression revealed that risk factors like non-medical background (RR = 1.200, 95%CI 1.088-1.324), being female (RR = 1.121, 95%CI 1.004-1.251), history of hospitalization (RR = 1.170, 95%CI 1.053-1.300), alcohol drinking (RR = 1.321, 95%CI 1.034-1.687), total stress (RR = 1.042, 95%CI 1.014-1.070), abnormal illness behavior (RR = 1.106, 95%CI 1.079-1.134), anxiety (RR = 1.214, 95%CI 1.055-1.396), depression (RR = 1.230, 95%CI 1.051-1.440), somatization (RR = 1.319, 95%CI 1.147-1.517), and insomnia (RR = 1.811, 95%CI 1.610-2.036) were positively correlated with allostatic load, while protective factors like originating from the western region (RR = 0.682, 95%CI 0.546-0.851, P = 0.001), studying for more than 4 h per day, especially 6-8 h (RR = 0.748, 95%CI 0.657-0.852), exercising for 0.5 to 1 h (RR = 0.900, 95%CI 0.814-0.995), having a high level of global well-being (RR = 0.930, 95%CI 0.903-0.957), and multi-dimensional health perception (RR = 0.753, 95%CI 0.681-0.833) were negatively correlated with allostatic load.ConclusionThis study proposes a multidimensional approach to understanding the health of college students. Non-medical and medical students show differences in health perception, behavior, lifestyle, emotional problems, and the social environment, leading to varied allostatic load risks and necessitating tailored health interventions.Clinical trial registrationNot applicable.

Project description:To perform a mental health evaluation and an early psychological intervention for healthcare workers (HCWs) during the coronavirus disease 2019 (COVID-19) epidemic, an online survey was conducted among 3055 HCWs in the paediatric intensive care units (PICUs) of 62 hospitals in China on March 26, 2020, by the Neurology and Sedation Professional Group, Emergency Department, Paediatrics Branch, Chinese Medical Association. The questionnaire was divided into three parts, including general information, the Impact of Event Scale-Revised (IES-R), and the Depression Anxiety Stress Scale-21 (DASS-21). The results show that a total of 970 HCWs (45.99%) were considered to meet the clinical cut-off scores for posttraumatic stress (PTS), and the proportions of participants with mild to extremely severe symptoms of depression, anxiety and stress were 39.69%, 36.46% and 17.12%, respectively. There was no significant difference in the psychological impact among HCWs of different genders. Married HCWs were 1.48 times more likely to have PTS than unmarried HCWs (95% Cl: 1.20-1.82, p <0.001). Compared with junior professional title participants, the PTS-positive rate of HCWs with intermediate professional titles was 1.91 times higher (90% Cl: 1.35-2.70, p<0.01). Those who had been in contact with confirmed COVID-19 cases were 1.40 times (95% Cl: 1.02-1.92, p <0.05) more likely to have PTS than those who did not have contact with COVID-19 cases or did not know the relevant conditions. For depression, the proportion of HCWs with intermediate professional titles was significantly higher, at 1.65 times (90% Cl: 1.17-2.33, p <0.01) that of those with junior professional titles. The depression of HCWs at work during the epidemic was 1.56 times that of HCWs on vacation (95% Cl: 1.03-2.37, p <0.05), and their anxiety was 1.70 times greater (95% Cl: 1.10-2.63, p <0.05). Participants who had been in contact with confirmed COVID-19 cases had more pronounced anxiety, 1.40 times that of those who did not have contact with COVID-19 cases or did not know the relevant conditions (95% Cl: 1.02-1.92, p <0.05). There was no significant correlation between the variables and the positive results of stress symptoms. In total, 45.99%, 39.69%, 36.46% and 17.12% of PICU HCWs were affected by PTS, depression, anxiety and stress, respectively, to varying degree. Married status, intermediate professional titles and exposure history were independent risk factors for PTS. Intermediate professional titles and going to work during the epidemic were independent risk factors for depression, and going to work and exposure history during the epidemic were independent risk factors for anxiety. In the face of public health emergencies, HCWs not only specialize in paediatric intensive care but also, as a high-risk group, must actively take preventive measures and use mitigation strategies.

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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