谷歌浏览器插件
订阅小程序
在清言上使用

Demographic, Personality, and Social Cognition Correlates of Coronavirus Guideline Adherence in a US Sample

HEALTH PSYCHOLOGY(2020)

引用 91|浏览1
暂无评分
摘要
Objective: The present study examined patterns and psychosocial correlates of coronavirus guideline adherence in a U.S. sample (N = 500) during the initial 15-day period advocated by the White House Coronavirus Task Force. Method: Descriptive and correlational analyses were used to examine the frequency of past 7-day adherence to each of 10 guidelines, as well as overall adherence. Guided by a disposition-belief-motivation model of health behavior, path analyses tested associations of personality traits and demographic factors to overall adherence via perceived norms, perceived control, attitudes, and self-efficacy related to guideline adherence, as well as perceived exposure risk and perceived health consequence if exposed. Results: Adherence ranged from 94.4% reporting always avoiding eating/ drinking inside bars/restaurants/food courts to 13.6% reporting always avoiding touching one's face. Modeling showed total associations with overall adherence for greater conscientiousness (beta=.191, p < .001), openness (beta=.098, p < .05), perceptions of social endorsement (beta=.202, p < .001), positive attitudes (beta=.105, p < .05), self-efficacy (beta=.234, p<.001), and the presence versus absence or uncertainty of a shelter-in-place order (beta=.102, p < .01). Age, self-rated health, sex, education, income, children in the household, agreeableness, extraversion, neuroticism, perceived exposure risk, and perceived health consequence showed null-to-negligible associations with overall adherence. Conclusions: The results clarify adherence frequency, highlight characteristics associated with greater adherence, and suggest the need to strengthen the social contract between government and citizenry by clearly communicating adherence benefits, costs, and timelines.
更多
查看译文
关键词
COVID-19,personality,conscientiousness,social cognition,guideline adherence
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要