低收入人群健康冲击及影响因素研究——基于江苏省第六次卫生服务大调查数据
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1.南京中医药大学;2.苏州大学附属第一医院

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国家社会科学基金(2018VJX065);江苏高校护理学优势学科建设工程资助项目(2019YSHL040);江苏省教育厅哲学社会科学重点研究基地基金(2019A01);江苏省社会科学研究成果(17GLD017);江苏高校哲学社会科学重点基地项目第一作者艾晓倩(1997-),女,汉,山东省淄博市沂源县,南京中医药大学卫生经济管理学院学生,研究生在读,硕士,主要研究方向公共管理,2578924103@qq.com通讯作者:xuaijun2000@163.com


Study on health shocks and its influencing factors in low-income Population—Based on the sixth health service survey data of Jiangsu province
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1.Nanjing University of Chinese Medicine,Nanjing;2.First Affiliated Hospital of Suzhou University,Suzhou

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    摘要:

    为了解低收入人群受到健康冲击及其强度的现状,探讨其影响因素,本文运用江苏省第六次卫生服务大调查数据,采用Logit模型和Tobit模型对低收入人群健康冲击的影响因素进行分析。其中,低收入人群中健康冲击的发生率为19.39%(392/2022),平均强度0.0958,分别为中高收入人群的3.68倍、5.80倍。Logit回归分析结果显示:有工作、高人均年收入、参加大病保险、较好的自评健康状况是健康冲击的正向影响因素(P<0.05),城镇、患慢性病的种类、焦虑抑郁为负向影响因素(P<0.05)。应加大政府资金政策支持,构建慢性病防控体系,完善医疗保障体系的同时要重点关注人群心理健康教育。

    Abstract:

    To understand the current status and influencing factors of health shocks and its intensity in low-income population, this paper used the data of the 6th National Health Service Survey in Jiangsu Province, and analyzed the factors influencing of health shocks in low-income population by Logit model and Tobit model. The incidence of health shocks in low-income population was 19.39%(392/2022), and the average intensity was 0.0958, which were 3.68 times and 5.80 times of that in non-low-income group respectively. Logistic regression analysis showed that having a job, high per capita annual income, participating in serious disease insurance, and having a better self-rated health status were the positive influencing factors of health shocks(P<0.05). The town, type of chronic disease, anxiety and depression were negative influencing factors(P<0.05). We should increase the support of government funds and policies, construct the prevention and control system of chronic diseases and perfect the medical security system. Meanwhile, the mental health education of the crowd should pay more attention.

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  • 收稿日期:2021-08-06
  • 最后修改日期:2021-12-02
  • 录用日期:2021-12-21
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