Analysis of high school students'health literacy level and related factors
Objective To understand the level of health literacy and influencing factors of Chinese general high school students,so as to provide scientific evidence for health promotion of high school students.Methods A multistage stratified cluster sampling method was used to conduct an on-site survey on the health literacy status of 8 265 high school students in 31 provinces of China by using the National Health Literacy Monitoring Questionnaire from October 2018 to June 2019.SPSS 25.0 software was used to con-duct one-way test and multifactor Logistic regression analysis of different demographic characteristics.Results The health literacy level of Chinese general high school students was 7.1％;the three dimensions of literacy were ranked in descending order as fol-lows:basic skills(21.3％),healthy lifestyles and behaviors(20.5％),and basic knowledge and concepts of health(7.8％);and the literacy levels of the six categories of health issues,in descending order,were basic medical care(88.3％),health information(75.9％),safety and first aid(51.0％),infectious disease prevention(44.2％),scientific health concept(39.0％)and chronic disease prevention(5.5％).Multifactorial Logistic regression analysis showed that ethnicity,region,family residence,school type,grade level,and father's education were the factors influencing the health literacy level of Chinese high school students(OR=2.08,0.60/0.24,0.44,0.71,1.41/0.51,1.37,P＜0.05).Conclusions The overall health literacy level of Chinese high school students is low,ethnicity,region,family residence,school type,grade level and father's education are factors influencing the health literacy level of Chinese high school students.It is recommended that all departments at all levels focus on categorized governance to improve the health literacy level of high school students,taking into account the realities and characteristics of high school students'health literacy level.
Health educationQuestionnairesRegression analysisStudents
NETL
NSTL
万方数据
