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苟莉莉, 汪娜, 胡鸿宝, 石呈, 黄芩, 徐斐. 南京市2016年女性居民健康素养水平与影响因素分析[J]. 中国公共卫生, 2018, 34(9): 1204-1208. DOI: 10.11847/zgggws1116920
引用本文: 苟莉莉, 汪娜, 胡鸿宝, 石呈, 黄芩, 徐斐. 南京市2016年女性居民健康素养水平与影响因素分析[J]. 中国公共卫生, 2018, 34(9): 1204-1208. DOI: 10.11847/zgggws1116920
Li-li GOU, Na WANG, Hong-bao HU, . Health literacy and its influencing factors among female residents in Nanjing city, 2016[J]. Chinese Journal of Public Health, 2018, 34(9): 1204-1208. DOI: 10.11847/zgggws1116920
Citation: Li-li GOU, Na WANG, Hong-bao HU, . Health literacy and its influencing factors among female residents in Nanjing city, 2016[J]. Chinese Journal of Public Health, 2018, 34(9): 1204-1208. DOI: 10.11847/zgggws1116920

南京市2016年女性居民健康素养水平与影响因素分析

Health literacy and its influencing factors among female residents in Nanjing city, 2016

  • 摘要:
      目的  了解江苏省南京市女性居民健康素养水平,为制定健康素养干预规划提供科学依据。
      方法  于2016年10 — 12月采取多阶段分层随机整群抽样方法,抽取南京市4 694名15~69岁城乡常住居民,采用全国居民健康素养监测调查问卷进行调查。
      结果  南京市女性居民健康素养水平为19.45 %,城市居民健康素养得分高于农村;随年龄增长,健康素养得分降低,25~34 岁组健康素养得分最高,为(46.08 ± 10.75)分,65~69 岁组健康素养得分最低,为(37.61 ± 11.91)分;受教育程度越高,健康素养得分也越高,大专/本科及以上者得分最高,为(47.29 ± 10.54)分,小学及以下文化健康素养得分最低,为(34.50 ± 12.19)分;医务人员健康素养得分高于非医务人员;慢性病患者健康素养得分低于无慢性病者;家庭收入越高,健康素养得分越高。单因素分析显示,不同地域、年龄、文化程度、是否医务人员、是否患慢性病、家庭年收入的女性居民健康素养水平差异均有统计学意义 (均P < 0.05)。多元线性回归分析显示,文化程度、家庭收入水平、城乡、年龄、是否医务人员对健康素养得分有显著的预测力(R2 = 0.19, β = 0.26、0.14、– 0.08、– 0.07、0.05,P = 0.00),其中文化程度为最具预测力的变量。
      结论  南京市女性居民健康素养水平仍需进一步提高。

     

    Abstract:
      Objective  To examine the level of basic health literacy among female residents in Nanjing city and to provide a basis for making programs of intervention on health literacy.
      Methods  With stratified multistage random cluster sampling, 4 694 female urban and rural residents aged 15 – 69 years were selected and surveyed with the Chinese Residents Health Literacy Questionnaire from October to December 2016.
      Results  The ratio of participants with basic health literacy was 19.5%. The health literacy score of the urban participants was higher than that of the rural participants. The participants' health literacy score declined with the increment of their age; the score was the highest (46.08 ± 10.75) for the participants aged 25 – 34 years and the lowest (37.61 ± 11.91) for those aged 65 – 69 years. The health literacy score of the participants was positively correlated with their education level, with the highest score (47.29 ± 10.54) for the participants with college or undergraduate education and the lowest (34.50 ± 12.19) for those being illiterate or semiliterate. The score of the participants engaged in medical work was higher than that of those engaged in other occupations; while the score of the participants with chronic diseases was lower than that of healthy participants. The score was correlated positively with the participant's family income. Univariate analysis demonstrated that the health literacy score was significantly influenced by residential region, age, education, whether being a medical worker, whether with chronic disease, and family economy condition among the participants (P < 0.05 for all). Multivariate linear regression analysis revealed that education (β = 0.26), family income (β = 0.14), residential region (β = – 0.08), age (β = – 0.07), and whether being engaged in medical work (β = 0.05) were significant factors affecting health literacy score among the participants (R2 = 0.19, P < 0.01)and education was the strongest predicator of the healthy literacy score.
      Conclusion  Health literacy needs to be improved among female residents in Nanjing city.

     

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