Long-term fine particular exposure and incidence of frailty in older adults: findings from the Chinese Longitudinal Healthy Longevity Survey. Journal Articles uri icon

  •  
  • Overview
  •  
  • Research
  •  
  • Identity
  •  
  • Additional Document Info
  •  
  • View All
  •  

abstract

  • BACKGROUND: The association between fine particular matter (PM2.5) and frailty is less studied, and the national burden of PM2.5-related frailty in China is unknown. OBJECTIVE: To explore the association between PM2.5 exposure and incident frailty in older adults, and estimate the corresponding disease burden. DESIGN: Chinese Longitudinal Healthy Longevity Survey from 1998 to 2014. SETTING: Twenty-three provinces in China. SUBJECTS: A total of 25,047 participants aged ≥65-year-old. METHODS: Cox proportional hazards models were performed to evaluate the association between PM2.5 and frailty in older adults. A method adapted from the Global Burden of Disease Study was used to calculate the PM2.5-related frailty disease burden. RESULTS: A total of 5,733 incidents of frailty were observed during 107,814.8 person-years follow-up. A 10 μg/m3 increment of PM2.5 was associated with a 5.0% increase in the risk of frailty (Hazard Ratio = 1.05, 95% confidence interval = [1.03-1.07]). Monotonic, but non-linear exposure-response, relationships of PM2.5 with risk of frailty were observed, and slopes were steeper at concentrations >50 μg/m³. Considering the interaction between population ageing and mitigation of PM2.5, the PM2.5-related frailty cases were almost unchanged in 2010, 2020 and 2030, with estimations of 664,097, 730,858 and 665,169, respectively. CONCLUSIONS: This nation-wide prospective cohort study showed a positive association between long-term PM2.5 exposure and frailty incidence. The estimated disease burden indicated that implementing clean air actions may prevent frailty and substantially offset the burden of population ageing worldwide.

authors

  • Lv, Yuebin
  • Yang, Ze
  • Ye, Lihong
  • Jiang, Meijie
  • Zhou, Jinhui
  • Guo, Yanbo
  • Qiu, Yidan
  • Li, Xinwei
  • Chen, Chen
  • Ju, Aipeng
  • Wang, Jun
  • Li, Chenfeng
  • Li, Yang
  • Wang, Jiaonan
  • Zhang, Juan
  • Ji, John S
  • Li, Tiantian
  • Baccarelli, Andrea A
  • Gao, Xu
  • Shi, Xiaoming

publication date

  • February 1, 2023