2015—2016年中国六城市中学生健康素养与躯体亚健康的关系

目的了解中学生健康素养与躯体亚健康的关联。方法 2015年11月至2016年1月采用多阶段方便整群抽样方法,在沈阳、蚌埠、新乡、乌兰察布、重庆和阳江市抽取初一至高三的中学生22 628名进行问卷调查,其中男生10 990(48. 6%)人,女生11 638(51. 4%)人。采用《中国青少年互动性健康素养问卷》(CAIHLQ)和《青少年亚健康多维评定问卷》(MSQA)分析评估中学生健康素养状况和躯体亚健康状况。结果中学生躯体亚健康的检出率为30. 1%(6822/22 628),高中生、经济发达地区、独生子女、住校生、家庭经济状况差的学生,躯体亚健康检出率高于对应组,差异均有统计学意义(χ^2值分别197. 72、85. 62、23. 76、161. 91和240. 27,P<0. 001)。中学生CAIHLQ总得分为(104. 06±18. 68),男生、初中生、城市、独生子女、非住校生、父/母亲文化程度高和家庭经济状况良好的学生健康素养水平较高,差异均有统计学意义(χ^2值分别为44. 62、455. 21、133. 54、35. 04、326. 06、272. 09、366. 19和572. 35,P<0. 001)。多因素Logistic回归分析显示,随着总体健康素养和各维度健康素养水平的降低,躯体亚健康发生风险呈上升趋势,差异有统计学意义(P<0. 001)。结论学校类型、是否为经济发达地区、是否为独生子女、学习日是否住校、自评家庭经济状况影响躯体亚健康,健康素养与躯体亚健康呈负相关关系。

Association of health literacy and physical sub-health among Chinese middle school students

OBJECTIVE To examine the association between health literacy( HL) and physical sub-health in middle school students. METHODS From November 2015 to January 2016,a multi-stage convenient cluster sampling method was adopted to conduct a questionnaire survey among 22 628 middle school students from grade 7 to grade12 in Shenyang,Bengbu,Xinxiang,Ulanqab,Chongqing and Yangjiang,among whom10 990( 48. 6%) were boys and 11 638( 51. 4%) were girls. The Chinese Adolescent Interactive Health Literacy Questionnaire( CAIHLQ),the Multidimensional Sub-health Questionnaire of Adolescents( MSQA) and demographic variables were used to measure the Chinese middle school students ’ HL and physical sub-health. RESULTS The detection rate of physical sub-health was 30. 1%( 6822/22628). High school students reported more physical sub-health than junior school students. The detection rate of physical sub-health in developed area,being only children,resident students,with low socio-economic status was significantly higher detection rate of sub-health than their peers( P< 0. 001). The scores of CAIHLQ was( 104. 06 ± 18. 68). Students who were boys,junior school students,urban residence,only children in family,non-resident students,higher parental education level and lower family income had significantly higher HL scores than the correspnding other students(χ^2= 44. 62,455. 21,133. 54,35. 04,326. 06,272. 09,366. 19 and 572. 35,P < 0. 001). Multiple Logistic regression analysis showed that moderate or low level of overall HL and six dimensions increase the risk of physical sub-health. CONCLUSION School type,whether it is an economically developed area,whether it is an only child,whether it lives in the school on the study day,and selfassessment of family economic conditions affecting physical sub-health,lower HL may increase the risk of physical subhealth among middle school students.