Analysis on influencing factors of e-health literacy of college students based on the Anderson model
10.20001/j.issn.2095-2619.20231213
- VernacularTitle:基于安德森模型的大学生电子健康素养影响因素分析
- Author:
Yi QIAN
1
;
Zhenning LIANG
;
Yao YU
Author Information
1. School of Health Management, Southern Medical University, Guangzhou, Guangdong 510515, China
- Publication Type:Journal Article
- Keywords:
Anderson model;
College student;
e-Health literacy;
Anxiety;
Depression;
Influencing factors
- From:
China Occupational Medicine
2023;50(6):677-682
- CountryChina
- Language:Chinese
-
Abstract:
{L-End}Objective To analyze the current status of e-health literacy (e-HL) among college students and its influencing factors based on the Anderson model. {L-End}Methods A total of 7 230 college students from Guangdong Province, Hebei Province, Jiangsu Province and other places were selected as the study subjects using the convenient sampling method based on the theoretical framework of the Anderson model. The e-HL level, anxiety symptoms and depression symptoms were investigated using the e-Health Literacy Scale, the 7-item Generalized Anxiety Scale and the Patient Health Questionnaire-9 items. {L-End}Results The score of e-HL was (29.2±6.7), with the pass rate of 42.8%. The result of multiple linear regression analysis showed that college students with lower class rank, higher average monthly family income, better online health information judgment ability, and lower degree of depression symptoms had higher e-HL level (all P<0.01). College students living in urban areas had higher e-HL levels than those living in rural areas (P<0.01). College students who engaged in regular physical exercise had higher e-HL levels than those who did not (P<0.01). College students with mild anxiety symptoms had lower e-HL levels than those without anxiety symptoms (P<0.01). {L-End}Conclusion The e-HL level of college students needs to be improved. From the perspective of the Anderson model, predisposing characteristics (class grade ranking), resources (place of residence, online health information judgment ability, regular physical exercise), demand factors (anxiety symptoms, depression symptoms) affect the level of e-HL of college students.
