| Literature DB >> 34160786 |
Ning Zhang1, Hongyu Yang2, Dongsheng Hong2, Xin Huang2, Linrun Wang3.
Abstract
BACKGROUND: Risk perception is an important predictor of health-protective behaviors during pandemics. However, the underlying mechanism connecting risk perception and health-protective behaviors is not well understood. The current study investigates how risk perception predicts hospital pharmacists' engagement in health-protective behaviors during the peak period of COVID-19 pandemic in China and the mediating effects of lay theories of health and self-efficacy.Entities:
Keywords: COVID-19; Health-protective behaviors; Lay theories of health; Risk perception; Self-efficacy
Mesh:
Year: 2021 PMID: 34160786 PMCID: PMC8221093 DOI: 10.1007/s12529-021-10004-2
Source DB: PubMed Journal: Int J Behav Med ISSN: 1070-5503
Multiple regressions of effect of risk perception on health-protective behaviors
| Model 1 | Model 2 | Model 3 | ||||||
|---|---|---|---|---|---|---|---|---|
| ( | ( | ( | ||||||
| Variables | HPB | HPB | HPB | |||||
| 1: Control variable | ||||||||
| Age | − 0.097 | < .001 | − 0.116 | < .001 | − 0.094 | < .001 | ||
| Gender | 0.070 | < .001 | 0.090 | < .001 | 0.093 | < .001 | ||
| Education | − 0.019 | .225 | − 0.017 | .272 | − 0.018 | .217 | ||
| Working experience (ys) | 0.066 | .004 | 0.065 | .003 | 0.060 | .005 | ||
| Protective measure adequacy | − 0.148 | < .001 | − 0.099 | < .001 | − 0.096 | < .001 | ||
| 2: Independent variables | ||||||||
| Risk perception | 0.086 | < .001 | 0.086 | < .001 | ||||
| Self-efficacy | 0.229 | < .001 | 0.188 | < .001 | ||||
| 3: Mediator | ||||||||
| Incremental theory of health | 0.096 | < .001 | ||||||
| Entity theory of health | − 0.196 | < .001 | ||||||
| 0.032 | 0.08 | 0.129 | ||||||
| 26.778*** | 108.658*** | 114.998*** | ||||||
| 0.049 | 0.049 | |||||||
HPB Health-protective behaviors, p < .001
Indirect effect of on risk perception on HPB
| Paths | Effect | BootSE | Bootstrapping bias-corrected 95% CI | ||
|---|---|---|---|---|---|
| Total effect (X1 → Y1) | 0.047 | 0.015 | 3.174 | 0.002** | (0.018, 0.076) |
| Direct effect | 0.084 | 0.014 | 5.886 | 0.000*** | (0.056, 0.112) |
| Indirect effect(s) | |||||
| Total | − 0.037 | 0.005 | (− 0.048, − 0.027) | ||
| Ind1 (X1 → M1 → Y1) | − 0.001 | 0.001 | (− 0.004, 0.002) | ||
| Ind2 (X1 → M2 → Y1) | − 0.006 | 0.003 | (− 0.013, 0.000) | ||
| Ind3 (X1 → M3 → Y1) | − 0.030 | 0.004 | (− 0.038, − 0.023) |
Confidence intervals (CI) not including zero demonstrate a statistically significant effect
X risk perception, Y health-protective behaviors, M incremental theory of health, M entity theory of health, M self-efficacy
**p < 0.01; ***p < 0.001