Factors Predicting Health Behaviors of Adults after Coronavirus 2019 Infection
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Abstract
This predictive correlation research design aimed to examine factors predicting the health behaviors of adults after the Coronavirus 2019 infection. The sample group was adults aged 18 - 59, diagnosed with Coronavirus 2019 for over a year. 131 patients received services at King Chulalongkorn Memorial Hospital, The Thai Red Cross Society. Instruments comprised a Personal Data Record Form, an Illness Record Form, a Health Behavior Questionnaire, and a Health Perception Questionnaire. The content validity index of Health Behavior Questionnaire and Health Perception Questionnaire were at .99, and the Cronbach's alpha coefficient were at .82 and .81, respectively. Data were analyzed using Pearson’s product - moment correlation coefficient and stepwise multiple regression analysis.
The research results were as follows: Adults after the Coronavirus 2019 infection had high - level health behaviors. The score of health behaviors ranged from 128 - 167 (Mean = 153.32, SD = 6.71). Perceived benefits and perceived self - efficacy could predict health behaviors of adults after the Coronavirus 2019 infection at 16.30 percent (R2 = .163, p-value < .05). These results suggest that nurses should have guidelines for promoting health behaviors to adults who had been infected with the 2019 coronavirus, this is in order to maintain good health behaviors continuously.
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