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| Latent profile analysis of community residents’ risk perception in public health emergencies |
| ZHANG Yao 1,SUN Hongyu 2, TAO Jingrui 1, XU Huan 1, DONG Chaoqun 1. |
| 1.School of Nursing, Wenzhou Medical University, Wenzhou 325035, China; 2.School of Nursing, Peking University, Beiijng 100871, China |
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| Cite this article: |
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ZHANG Yao,SUN Hongyu,TAO Jingrui, et al. Latent profile analysis of community residents’ risk perception in public health emergencies[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2023, 53(7): 595-602，封三.
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Abstract Objective: To explore the potential categories of community residents’ risk perception in public health emergencies and analyze the influencing factors of different categories. Methods: A cross-sectional study was designed to recruit 7 844 residents from 30 provinces in China from March to May 2022 by convenient sampling. The general characteristics, COVID-19 Risk Perception Scale, Simplified Coping Style Questionnaire,and Psychological Questionnaires for Emergent Events of Public Health were collected. Latent profile analysis was used to explore the classification of the risk perception of community residents, and multinomial logistic regression analysis was used to compare the characteristics of each latent category and to investigate their influencing factors. Results: The risk perception of community residents could be divided into three categories: low risk-perception (23.9%), high risk-perception (29.3%), and high risk-perception with low-susceptibility in general (46.8%). The results of multinomial logistic regression showed that compared with the low risk-perception group, residents who were older (OR=1.021, P<0.001), female (OR=1.283, P=0.008), rural (OR=1.198, P=0.014), who had been isolated (OR=1.277, P=0.031), had≤1 vaccination (OR=1.614, P=0.036), and had higher scores of negative coping (OR=1.420, P<0.001), depression (OR=1.324, P=0.001), fear (OR=2.579, P<0.001), and suspicion of illness (OR=1.421, P<0.001) tended to be in the high risk-perception group, while residents with technical secondary or high school degrees (OR=0.733, P=0.045), who had higher scores of positive coping (OR=0.662, P<0.001), and obsessive-compulsive-anxiety (OR=0.786, P=0.043) were less likely to be in the high risk-perception group. Compared with the low risk- perception group, residents who were female (OR=1.382, P<0.001), living in the rural area (OR=1.297, P<0.001), who had higher scores of negative coping (OR=1.202, P<0.001), neurosis (OR=1.189, P=0.023), and fear (OR=2.458, P<0.001) tended to be in the group of lowsusceptibility high -perception, while residents who were married (OR=0.798, P=0.013), who had been engaged in epidemic-related activities (OR=0.862, P=0.015), had higher scores of positive coping (OR=0.750, P<0.001), and obsessive-compulsive-anxiety (OR=0.653, P<0.001) were less likely to be in the low-susceptibility highperception group. Conclusion: There is heterogeneity in the risk perception of community residents in public health emergencies, and the residents’ risk perception is related to coping style and mental health status. Community medical staff should carry out targeted interventions according to the characteristics of different categories.
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