Department of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 31, Road 3rd, Bei-Ji-Ge, Dongcheng District, Beijing, 100730, China.
APEC Health Science Academy (HeSAY), Peking University, Beijing, China.
BMC Public Health. 2024 May 9;24(1):1269. doi: 10.1186/s12889-024-18743-z.
Over the past three decades, China has experienced significant changes in urban-rural, gender, and age-specific suicide mortality patterns. This study aimed to investigate the long-term trends in suicide mortality in China from 1987 to 2020.
Suicide mortality data were obtained from China's National Health Commission. Joinpoint regression analysis was used to examine changes in trends and age-period-cohort modeling to estimate age, period, and cohort effects on suicide mortality from 1987 to 2020. Net drift, local drift, longitudinal age curves, and period relative risks were also calculated.
Crude and age-standardized suicide mortality in China showed continuing downward trends from 1987 to 2020, with a more pronounced decrease in rural areas (net drift = -7.07%, p<0.01) compared to urban areas (net drift = -3.41%, p<0.01). The decline curve of urban areas could be divided into three substages. Period and cohort effects were more prominent in rural areas. Suicide risk was highest among individuals aged 20-24 and gradually increased after age 60. Females, particularly those of childbearing age, had higher suicide risk than males, with a reversal observed after age 50. This gender reversal showed distinct patterns in urban and rural areas, with a widening gap in urban areas and a relatively stable gap in rural areas.
Suicide mortality in China has consistently declined over the past three decades. However, disparities in age, gender, and urban-rural settings persist, with new patterns emerging. Targeted suicide prevention programs are urgently needed for high-risk groups, including females of childbearing age and the elderly, and to address the slower decrease and reversing urban-rural gender trends.
在过去的三十年中,中国的城乡、性别和年龄特异性自杀死亡率模式发生了重大变化。本研究旨在调查 1987 年至 2020 年期间中国自杀死亡率的长期趋势。
自杀死亡率数据来自中国国家卫生健康委员会。使用 Joinpoint 回归分析来检测趋势变化,使用年龄-时期-队列模型来估计年龄、时期和队列效应对 1987 年至 2020 年自杀死亡率的影响。还计算了净漂移、局部漂移、纵向年龄曲线和时期相对风险。
中国的粗死亡率和年龄标准化死亡率显示,从 1987 年到 2020 年呈持续下降趋势,农村地区的下降幅度更为明显(净漂移=-7.07%,p<0.01),而城市地区的下降幅度较小(净漂移=-3.41%,p<0.01)。城市地区的下降曲线可以分为三个亚阶段。农村地区的时期和队列效应更为明显。自杀风险在 20-24 岁年龄段最高,60 岁以后逐渐增加。女性,尤其是生育年龄的女性,自杀风险高于男性,50 岁以后出现逆转。这种性别逆转在城乡地区呈现出不同的模式,城市地区的差距扩大,而农村地区的差距相对稳定。
过去三十年来,中国的自杀死亡率持续下降。然而,在年龄、性别和城乡环境方面仍然存在差异,并且出现了新的模式。需要针对高风险群体,包括生育年龄的女性和老年人,以及针对下降较慢和城乡性别趋势逆转的问题,制定有针对性的自杀预防计划。