Wu Yuwei, Jin Yuming, Deng Linghui, Wang Yinlong, Wang Yurui, Chen Junhan, Gao Ruohan, Wei Shichao, Ni Guohua, Zhou Xianghong, Zhang Zilong, Zeng Bin, Wei Chuzhong, Huang Weichao, Qiu Shi, Dong Birong
Department of Urology, Institute of Urology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Department of Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
JAMA Netw Open. 2025 May 1;8(5):e259960. doi: 10.1001/jamanetworkopen.2025.9960.
Exposure to high altitudes elicits multiple adaptive mechanisms that intricately impact the entire body, causing deleterious health outcomes. However, high-altitude exposure effects on accelerated aging and aging-related changes remain uncertain.
To comprehensively assess the associations of high-altitude exposure with overall aging and related changes and to provide insights into the treatment and prevention of aging-associated deficits in populations living in high-altitude areas.
DESIGN, SETTING, AND PARTICIPANTS: This population-based cross-sectional study used data from 2 prospective studies in Western China: West China Natural Population Cohort (WCNPCS) and West China Health and Aging Trend (WCHAT). The WCNPCS cohort was constructed from May 2019 to June 2021. Data were collected from participants aged 18 years and older in 4 populous regions (Mianzhu, Longquan, Pidu, and Ganzi) in Sichuan Province. The WCHAT was initiated in 2018 and recruited participants aged 50 years and older from various regions (Sichuan, Yunnan, Guizhou, and Xinjiang). Participants were selected via sequential cluster sampling from the permanent residents of the participating community. Data for the present study were analyzed between March and October 2024.
The participants' altitudes were determined using the global Shuttle Radar Topography Mission 4 data based on residential addresses. High-altitude areas refer to regions with altitudes of greater than or equal to 1500 m (4921 feet) above the mean sea level.
Biological aging (BA) and aging acceleration (AA) were measured through the Klemera-Doubal Biological Age (KDM-BA) and PhenoAge methods. Multidimensional aging-related metrics were based on questionnaire, measurement, and self-report.
A total of 9846 participants from the WCNPCS cohort (mean [SD] age, 55.73 [11.06] years; 6730 women [68.35%]) and 3593 participants from the WCHAT cohort (mean [SD] age, 62.27 [8.40] years; 2253 women [62.71%]) were included. The participants living at high altitudes presented increased KDM-BA acceleration by 0.85 years for the WCNPCS cohort and 0.71 years for the WCHAT cohort. The PhenoAge results were similar, with even larger effect sizes (WCNPCS, β, 2.08 years; 95% CI, 1.77-2.39 years; WCHAT, β, 2.23 years; 95% CI, 1.91-2.54 years). The association between high-altitude exposure and biologically accelerated aging was particularly pronounced among smokers. Associations between high-altitude exposure and various multidimensional aging-related metrics were also observed.
These findings suggest that extended periods at high altitudes may hasten BA and contribute to the onset of aging-related illnesses. Implementing public health interventions for individuals residing in high-altitude regions may aid in alleviating the disease burden within these communities.
暴露于高海拔地区会引发多种适应性机制,这些机制会对整个身体产生复杂影响,导致有害的健康后果。然而,高海拔暴露对加速衰老及与衰老相关变化的影响仍不明确。
全面评估高海拔暴露与整体衰老及相关变化之间的关联,并为高海拔地区人群衰老相关缺陷的治疗和预防提供见解。
设计、背景和参与者:这项基于人群的横断面研究使用了中国西部两项前瞻性研究的数据:华西自然人群队列(WCNPCS)和华西健康与衰老趋势研究(WCHAT)。WCNPCS队列于2019年5月至2021年6月构建。数据收集自四川省4个人口众多地区(绵竹、龙泉、郫都和甘孜)18岁及以上的参与者。WCHAT于2018年启动,从不同地区(四川、云南、贵州和新疆)招募50岁及以上的参与者。参与者通过从参与社区的常住人口中进行连续整群抽样选取。本研究数据于2024年3月至10月进行分析。
根据居住地址,使用全球航天飞机雷达地形测绘任务4数据确定参与者的海拔高度。高海拔地区指海拔高于或等于平均海平面1500米(4921英尺)的地区。
通过克莱梅拉-杜巴尔生物年龄(KDM-BA)和表型年龄方法测量生物衰老(BA)和衰老加速(AA)。多维衰老相关指标基于问卷调查、测量和自我报告。
WCNPCS队列共纳入9846名参与者(平均[标准差]年龄,55.73[11.06]岁;6730名女性[68.35%]),WCHAT队列共纳入3593名参与者(平均[标准差]年龄,62.27[8.40]岁;2253名女性[62.71%])。居住在高海拔地区的参与者中,WCNPCS队列的KDM-BA加速增加0.85岁,WCHAT队列增加0.71岁。表型年龄结果相似,效应量更大(WCNPCS,β,2.08岁;95%置信区间,1.77 - 2.39岁;WCHAT,β,2.23岁;95%置信区间,1.91 - 2.54岁)。高海拔暴露与生物加速衰老之间的关联在吸烟者中尤为明显。还观察到高海拔暴露与各种多维衰老相关指标之间的关联。
这些发现表明,长时间处于高海拔地区可能会加速生物衰老并促使与衰老相关疾病的发生。对居住在高海拔地区的个体实施公共卫生干预措施可能有助于减轻这些社区的疾病负担。