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罗朝莲, 刘伟信, 贺晓春, 刘宣辰, 李婷, 李晓慧, 刘佳欣. 四川省育龄妇女生殖健康素养水平及其影响因素[J]. 中国妇幼卫生杂志, 2022, 13(3): 28-32. DOI: 10.19757/j.cnki.issn1674-7763.2022.03.006
引用本文: 罗朝莲, 刘伟信, 贺晓春, 刘宣辰, 李婷, 李晓慧, 刘佳欣. 四川省育龄妇女生殖健康素养水平及其影响因素[J]. 中国妇幼卫生杂志, 2022, 13(3): 28-32. DOI: 10.19757/j.cnki.issn1674-7763.2022.03.006
LUO Chao Lian, LIU Wei Xin, HE Xiao Chun, LIU Xuan Chen, LI Ting, LI Xiao Hui, LIU Jia Xian. The current status and influence factors of reproductive health literacy among women at childbearing age in Sichuan Province[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2022, 13(3): 28-32. DOI: 10.19757/j.cnki.issn1674-7763.2022.03.006
Citation: LUO Chao Lian, LIU Wei Xin, HE Xiao Chun, LIU Xuan Chen, LI Ting, LI Xiao Hui, LIU Jia Xian. The current status and influence factors of reproductive health literacy among women at childbearing age in Sichuan Province[J]. CHINESE JOURNAL OF WOMEN AND CHILDREN HEALTH, 2022, 13(3): 28-32. DOI: 10.19757/j.cnki.issn1674-7763.2022.03.006

四川省育龄妇女生殖健康素养水平及其影响因素

The current status and influence factors of reproductive health literacy among women at childbearing age in Sichuan Province

  • 摘要: 目的 了解四川省育龄妇女生殖健康素养水平现状及影响因素,为制定健康教育政策及干预措施提供依据。方法 根据生殖健康核心知识采用专家咨询法编制育龄妇女生殖健康素养评价问卷,进行问卷信效度检验。采用分层方便抽样法,在四川省选取4 300名育龄妇女进行生殖健康素养横断面调查。采用Likert 5级评分法对生殖健康素养评价条目赋分,并根据德尔菲专家咨询法确定权重,计算生殖健康素养总分和各个维度得分,按照判定标准判断育龄妇女是否具备生殖健康素养,并对生殖健康素养具备率进行单因素分析和logisitic多因素分析。结果 共回收有效问卷4 181份,调查对象平均年龄为28.4(25.4~34.0)岁,居住在农村者居多(60.06%),大专/本科及以上者居多(37.60%),育龄妇女总体生殖健康素养水平中位数得分为66.5分,生殖健康素养总具备率为15.43%。单因素分析结果显示,育龄妇女生殖健康素养得分在不同年龄、文化程度、婚姻状态、居住地、民族、怀孕史、流产史、生育史、家庭人均月收入、近1年有生殖系统疾病史的比较中差异均有统计学意义(均P<0.05)。多因素logistic回归分析显示,家庭人均月收入、文化程度、居住地、流产史和近1年内有生殖系统疾病史是生殖健康素养水平的主要影响因素。结论 四川省育龄妇女生殖健康素养水平有待进一步提高,建议加强低收入、低文化农村育龄妇女生殖健康教育工作,同时重点关注有流产史和近1年有生殖系统疾病史的育龄人群。

     

    Abstract: Objective To investigate the current status and factors associated with reproductive health literacy among women at childbearing age in Sichuan Province, so as to provide evidence for health education policy making and intervention measures development.Methods Based on core reproductive health knowledge, an assessment questionnaire of reproductive health literacy for women at childbearing age was developed by expert consultation, and the reliability and validity of the questionnaire was tested. Stratified convenience sampling method was used to recruit 4 300 women at childbearing age. A cross-sectional survey was conducted to investigate reproductive health literacy in Sichuan Province. Likert 5-level scoring method was used to assign points to each item of reproductive health literacy, and Delphi method was used to determine their weights. The total score of reproductive health literacy and the score of each item were calculated, and whether having reproductive health literacy was determined according to the judgment standard. Univariate analysis and logistic multivariate analysis were performed.Results A total of 4 181 valid questionnaires were collected.The average age of the study subjects was 28.4(25.4-34.0) years old, majority(60.06%) of them lived in rural areas, and 37.60% of them were college/bachelor degree and above. The total median score of reproductive health literacy was 66.5 points. The overall rate of having reproductive health literacy was 15.43%. Univariate analysis showed that the reproductive health literacy scores of women at childbearing age were significantly different in terms of age, education level, marital status, residence area, nationality, history of pregnancy, childbearing and abortion, family monthly income per capita, and reproductive system diseases within the past 1 year(all P<0.05). Multivariate logistic regression analysis showed that family monthly income per capita, education level, residence area, history of abortion and reproductive system diseases within the past 1 year were factors associated with reproductive health literacy level.Conclusion The reproductive health literacy level of women at childbearing age in Sichuan Province needs to be further improved. It is recommended to strengthen reproductive health education for women at childbearing age with low income and low education level living in rural areas, and to focus on the population with a history of abortion and reproductive system diseases within the past 1 year.

     

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