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10.1159/000511823 http://scihub22266oqcxt.onion/10.1159/000511823 33152729!7705943!33152729     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Psychother+Psychosom 2021 ; 90 (2): 127-136 Nephropedia Template TP {{tp|p=33152729|t=2021. Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China |pdf=|usr=}}{{33152729}} gab.com Text Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China JO: Psychother Psychosom http://www.kidney.de/pget.php?&tw=1&pmid=33152729 #FOAvip 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. Twit Text FOAVip Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China ????Psychother Psychosom http://www.kidney.de/pget.php?&tw=1&pmid=33152729 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33152729 #FOAvip English Wikipedia <ref>{{Cite pmid|33152729}}</ref> Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical Workers in China #MMPMID33152729 Peng M; Wang L; Xue Q; Yin L; Zhu BH; Wang K; Shangguan FF; Zhang PR; Niu YY; Zhang WR; Zhao WF; Wang H; Lv J; Song HQ; Min BQ; Leng HX; Jia Y; Chang H; Yu ZP; Tian Q; Yang Y; Zhu Z; Li W; Gao XL; Liu XL; Yang M; Wang P; Wei PH; Wang CX; Li JN; Jia LB; Huang XM; Li DN; Xu DJ; Deng YL; Si TM; Dong HQ; Wang YP; Cosci F; Wang HX Psychother Psychosom 2021[]; 90 (2): 127-136 PMID33152729show ga 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. |*COVID-19[MESH] |*Health Personnel[MESH] |*Personal Satisfaction[MESH] |*Social Support[MESH] |Adult[MESH] |Allostasis/*physiology[MESH] |Anxiety/*physiopathology[MESH] |China[MESH] |Depression/*physiopathology[MESH] |Female[MESH] |Humans[MESH] |Illness Behavior/*physiology[MESH] |Male[MESH] |Middle Aged[MESH] |Occupations[MESH]Post-COVID-19 Epidemic: Allostatic Load among Medical and Nonmedical W(epmc).pdf DeepDyve Pubget Overpricing