中华皮肤科杂志 ›› 2026, Vol. 59 ›› Issue (1): 15-20.doi: 10.35541/cjd.20250036

• 论著 • 上一篇    下一篇

四川省2005—2024年梅毒流行趋势的Joinpoint回归和年龄-时期-队列模型分析

刘倩,黄刚,裴晓迪,向成戈,黄俊,唐碧玮,冯燎   

  1. 四川省疾病预防控制中心性病艾滋病预防控制与研究所,成都  610041
  • 收稿日期:2025-01-21 修回日期:2025-07-03 发布日期:2026-01-06
  • 通讯作者: 冯燎 E-mail:58539976@qq.com

Epidemic trends of syphilis in Sichuan province from 2005 to 2024: a Joinpoint regression and age-period-cohort model analysis

Liu Qian, Huang Gang, Pei Xiaodi, Xiang Chengge, Huang Jun, Tang Biwei, Feng Liao   

  1. Liu Qian, Huang Gang, Pei Xiaodi, Xiang Chengge, Huang Jun, Tang Biwei, Feng Liao
  • Received:2025-01-21 Revised:2025-07-03 Published:2026-01-06
  • Contact: Feng Liao E-mail:58539976@qq.com

摘要: 【摘要】 目的 了解四川省2005—2024年梅毒疫情流行趋势,为制定防控策略提供科学依据。方法 本研究为描述性研究。从中国疾病预防控制信息系统传染病监测系统获取2005—2024年四川省梅毒疫情数据,采用Joinpoint回归模型分析发病趋势,计算梅毒发病率的年度变化百分比(APC)和平均年度变化百分比(AAPC)。采用年龄-时期-队列模型分析年龄、时期、队列对梅毒发病率的影响。结果 Joinpoint回归分析显示,四川省梅毒报告发病率由2005年的4.72/10万上升到2024年的67.15/10万(AAPC = 15.56%,P < 0.001),2005—2010年APC为40.54%(P = 0.003),2010—2022年为5.65%(P > 0.05),2022—2024年为21.33%(P < 0.001)。一期与二期梅毒以2010年为转折点呈现先上升后下降的趋势;三期梅毒以2009年和2020年为转折点呈现快速上升、增速减缓、相对平稳的趋势;胎传梅毒以2009年和2012年为转折点呈先上升、相对平稳、下降的趋势;隐性梅毒以2010年为转折点呈快速上升、增速减缓的趋势。男性报告发病率AAPC为14.97%,女性为16.15%(均P < 0.001)。< 10岁、10 ~ 19岁、20 ~ 49岁、 ≥ 50岁组梅毒报告发病率AAPC分别为-3.96%(P = 0.023)、18.40%(P < 0.001)、13.01%(P < 0.001)、19.74%(P < 0.001)。年龄-时期-队列模型结果显示,梅毒发病率纵向年龄曲线呈“J”形上升趋势,在80 ~ 84岁组达到高峰;以2010—2014年时期组为对照组,梅毒发病风险的时期效应呈现上升趋势;以1970—1974年出生队列为对照组,梅毒发病风险的队列效应以2010—2014年出生队列为高峰,呈先上升再下降的趋势。结论 四川省一期与二期梅毒、胎传梅毒报告发病率分别自2010年和2012年开始呈下降趋势,但总体梅毒报告发病率一直呈现上升趋势。梅毒报告发病率受年龄、时期、出生队列的影响。

关键词: 梅毒, 四川, 发病率, 趋势分析, Joinpoint回归模型, 年龄-时期-队列模型

Abstract: 【Abstract】 Objective To investigate the epidemic trends of syphilis in Sichuan province from 2005 to 2024, and to provide a scientific basis for formulating prevention and control strategies. Methods A descriptive study was conducted. The epidemic data on syphilis in Sichuan province from 2005 to 2024 were obtained from the Infectious Disease Surveillance System of China Information System for Disease Control and Prevention. The Joinpoint regression model was used to analyze incidence trends, and the annual percent change (APC) and average annual percent change (AAPC) of syphilis incidence were calculated. The age-period-cohort model was applied to investigate the effects of ages, periods and birth cohorts on syphilis incidence. Results Joinpoint regression analysis showed that the reported incidence rate of syphilis in Sichuan province increased from 4.72 per 100 000 in 2005 to 67.15 per 100 000 in 2024 (AAPC = 15.56%, P < 0.001); the APC was 40.54% (P = 0.003) from 2005 to 2010, 5.65% (P > 0.05) from 2010 to 2022, and 21.33% (P < 0.001) from 2022 to 2024. The incidence rate of primary and secondary syphilis showed an initial increase followed by a decrease, with 2010 as the turning point; the incidence rate of tertiary syphilis successively evolved through rapid increase, slowed growth, and relatively stable phases, with inflection points in 2009 and 2020; the incidence rate of congenital syphilis showed an initial increase followed by stability and then a decline, with turning points in 2009 and 2012; the incidence rate of latent syphilis demonstrated a rapid increase followed by a slowdown in growth, with 2010 as the turning point. The AAPC of the reported incidence was 14.97% in males and 16.15% in females (both P < 0.001). The AAPCs were -3.96% (P = 0.023), 18.40% (P < 0.001), 13.01% (P < 0.001), and 19.74% (P < 0.001) in the age groups of < 10, 10 - 19, 20 - 49, and ≥ 50 years, respectively. The age-period-cohort model indicated that the longitudinal age curve of syphilis incidence showed a J-shaped upward trend, peaking in the age group of 80 - 84 years; with the 2010 - 2014 period as the reference group, the period effect on the risk of syphilis showed an upward trend; with the 1970 - 1974 birth cohort as the reference group, the cohort effect on the risk of syphilis peaked in the 2010 - 2014 birth cohort, showing an initial increase followed by a decrease. Conclusions The reported incidence rates of primary and secondary syphilis, and congenital syphilis in Sichuan province showed a downward trend in 2010 and 2012, respectively. However, the overall reported incidence of syphilis exhibited an upward trend from 2005 to 2024. The reported incidence of syphilis was influenced by ages, periods, and birth cohorts.

Key words: Syphilis, Sichuan, Incidence, Trend analysis, Joinpoint regression model, Age-period-cohort model

引用本文

刘倩 黄刚 裴晓迪 向成戈 黄俊 唐碧玮 冯燎. 四川省2005—2024年梅毒流行趋势的Joinpoint回归和年龄-时期-队列模型分析[J]. 中华皮肤科杂志, 2026,59(1):15-20. doi:10.35541/cjd.20250036

Liu Qian, Huang Gang, Pei Xiaodi, Xiang Chengge, Huang Jun, Tang Biwei, Feng Liao. Epidemic trends of syphilis in Sichuan province from 2005 to 2024: a Joinpoint regression and age-period-cohort model analysis[J]. Chinese Journal of Dermatology, 2026, 59(1): 15-20.doi:10.35541/cjd.20250036