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<b><i>Background:</i></b> As the fight against the COVID-19 epidemic continues, medical workers may have allostatic load. <b><i>Objective:</i></b> During the reopening of society, medical and nonmedical workers were compared in terms of allostatic load. <b><i>Methods:</i></b> 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. <b><i>Results:</i></b> There was no difference in allostatic load in medical workers compared to nonmedical workers (15.8 vs. 17.8%; <i>p</i> = 0.22). Multivariate conditional logistic regression revealed that anxiety (OR = 1.24; 95% CI 1.18–1.31; <i>p</i> &#x3c; 0.01), depression (OR = 1.23; 95% CI 1.17–1.29; <i>p</i> &#x3c; 0.01), somatization (OR = 1.20; 95% CI 1.14–1.25; <i>p</i> &#x3c; 0.01), hostility (OR = 1.24; 95% CI 1.18–1.30; <i>p</i> &#x3c; 0.01), and abnormal illness behavior (OR = 1.49; 95% CI 1.34–1.66; <i>p</i> &#x3c; 0.01) were positively associated with allostatic load, while objective support (OR = 0.84; 95% CI 0.78–0.89; <i>p</i> &#x3c; 0.01), subjective support (OR = 0.84; 95% CI 0.80–0.88; <i>p</i> &#x3c; 0.01), utilization of support (OR = 0.80; 95% CI 0.72–0.88; <i>p</i> &#x3c; 0.01), social support (OR = 0.90; 95% CI 0.87–0.93; <i>p</i> &#x3c; 0.01), and global well-being (OR = 0.30; 95% CI 0.22–0.41; <i>p</i> &#x3c; 0.01) were negatively associated. <b><i>Conclusions:</i></b> 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.

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The current study investigated the time course of the other-race classification advantage (ORCA) in the subordinate classification of normally configured faces and distorted faces by race. Slightly distorting the face configuration delayed the categorization of own-race faces and had no conspicuous effects on other-race faces. The N170 was sensitive neither to configural distortions nor to faces' races. The P3 was enhanced for other-race than own-race faces and reduced by configural manipulation only for own-race faces. We suggest that the source of ORCA is the configural analysis applied by default while processing own-race faces.