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李娟娟, 赵树勇, 杜媛泽, 屈香, 刘世炜, 郝萌萱, 玄美燕, 王春平. 中国居民1990 — 2019年心理性疾病负担及其危险因素变化趋势[J]. 中国公共卫生, 2022, 38(5): 518-522. DOI: 10.11847/zgggws1136676
引用本文: 李娟娟, 赵树勇, 杜媛泽, 屈香, 刘世炜, 郝萌萱, 玄美燕, 王春平. 中国居民1990 — 2019年心理性疾病负担及其危险因素变化趋势[J]. 中国公共卫生, 2022, 38(5): 518-522. DOI: 10.11847/zgggws1136676
LI Juan-juan, ZHAO Shu-yong, DU Yuan-ze, . Changing trend in disease burden of mental illness and its risk factors in China, 1990 – 2019[J]. Chinese Journal of Public Health, 2022, 38(5): 518-522. DOI: 10.11847/zgggws1136676
Citation: LI Juan-juan, ZHAO Shu-yong, DU Yuan-ze, . Changing trend in disease burden of mental illness and its risk factors in China, 1990 – 2019[J]. Chinese Journal of Public Health, 2022, 38(5): 518-522. DOI: 10.11847/zgggws1136676

中国居民1990 — 2019年心理性疾病负担及其危险因素变化趋势

Changing trend in disease burden of mental illness and its risk factors in China, 1990 – 2019

  • 摘要:
      目的   通过探讨1990 — 2019年中国居民心理性疾病负担及其危险因素的变化趋势,为中国居民心理性疾病的防治提供依据。
      方法   基于2019年全球疾病负担(GBD)中国研究开放数据,采用Excel软件,利用患病率、伤残损失寿命年(YLDs)、伤残调整寿命年(DALYs)对1990 — 2019年中国不同性别和年龄人群心理性疾病负担进行描述,结合人群归因分值(PAF)分析中国心理性疾病危险因素的变化趋势。
      结果  2019年中国心理性疾病患病率、YLD率、DALY率分别为12055.47/10万、1426.62/10万、1426.78/10万;随着年龄的增长均呈上升趋势,50~69岁疾病负担最为严重;男性心理性疾病患病率、YLD率、DALY率分别为10886.21/10万、1294.39/10万、1294.51/10万,均低于女性的11649.28/10万、1564.03/10万、1564.22/10万。中国心理性疾病归因于儿童性虐待和亲密伴侣暴力的DALYs由1990年的10.63万人年、30.94万人年增长至2019年的14.04万人年、38.01万人年,增长率为32.04 %、22.87 %。与1990年相比,2019年中国心理性疾病归因于儿童性虐待和亲密伴侣暴力的DALYs呈上升趋势(32.04 %、22.87 %),归因于欺凌受害、儿童性虐待和欺凌、铅暴露和其他环境风险的DALYs均呈下降趋势,铅暴露(– 39.58 %)、其他环境风险(– 39.58 %)的DALYs变化幅度最大。1990 — 2019年,儿童性虐待(1.73 %)的PAF值呈上升趋势,欺凌受害、儿童性虐待和欺凌、亲密伴侣暴力、铅暴露、其他环境风险的PAF值呈下降趋势,分别为 – 49.17 %、– 40.09 % 、– 5.39 %、– 53.47 %、– 53.47 % 。2010 — 2019年亲密伴侣暴力的DALY率顺位上升,欺凌受害的DALY率顺位下降。
      结论   1990 — 2019年中国心理性疾病负担逐渐加重,伤残是疾病负担的主要来源,老年女性为高危人群,对其开展心理教育,心理分析疏导是预防心理疾病的优先措施。

     

    Abstract:
      Objective  To explore changing trend in disease burden of mental illness and its risk factors in Chinese popula-tion from 1990 to 2019 for providing evidences to prevention and treatment of mental illness.
      Methods  The open data of the Global Burden of Disease Study (GBD) were used in the study. Age-sex-specific prevalence rate, years lived with disability (YLDs) and disability-adjusted life years (DALYs) for 1990, 2000, 2010 and 2019 were adopted to describe the burden of mental illness and combined with population attributable fraction (PAF) to assess the changing trend in the burden.
      Results  Among Chinese residents in 2019, the rate (1/100 000) for mental illness prevalence, YLDs and DALYs were 12 055.47, 1 426.78 and 1 426.62; the rates increased with the increment of age among the residents of various age groups, with the highest rates in the residents aged 50 – 69 years; compared to those in female residents, the rates were lower in male residents (prevalence: 10 886.21 vs. 11 649.28, YLDs: 1 294.39 vs. 1564.03, DALYs: 1 294.51 vs. 1 564.22). The DALYs (million person years) attributed to child sexual abuse and intimate partner violence increased from 1.063 and 3.094 in 1990 to 1.404 and 3.801 in 2019, with the increases of 32.04% and 22.87%. The DALYs attributed to bullying victimization, child sexual abuse and bullying, lead exposure and other environmental risks declined, with the highest decrease of 39.58% for both DALYs attributed to lead exposure and other environmental hazards. In comparison to that in 1990, the PAF of DALYs attributed to child sexual abuse increased by 1.73% in 2019; however, the PAF of DALYs attributed to bullying, child sexual abuse and bullying, intimate partner violence, lead exposure, and other environmental hazards decreased by 49.17%, 40.09%, 5.39%, 53.47%, and 53.47%, respectively. The DALYs due to intimate partner violence rose but that due to bullying declined during 2010 – 2019.
      Conclusion   The disease burden of mental illness gradually increased from 1990 to 2019 among residents in China and disability was a main contributor to the burden. Psychological education and counseling should be promoted among the residents, especially among the elderly women at a higher risk of mental illness.

     

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