Evidence map›Paper›PMID 41218051›Full record

ArticlePloS one2025

Association between thermal inversion and cognitive trajectories among middle-aged and older adults in CHARLS: A latent class trajectory analysis.

Kai Liu, Jing Wang, Junru Wang, Yue Yang, Yali Wang, Jiahui Zhang, Xiaojun Ma, Zhuoyuan Li, Ping Chen, Jiangping Li

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kai LiuDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Jing WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Junru WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Yue YangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Yali WangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Jiahui ZhangDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiaojun MaDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Zhuoyuan LiDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Ping ChenMedical Experiment Center, General Hospital of Ningxia Medical University, Yinchuan, China.
Jiangping LiDepartment of Epidemiology and Health Statistics, School of public health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.ORCID https://orcid.org/0000-0001-5183-3713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have demonstrated that cognitive decline is related to meteorological conditions, but most of them focus on air pollutants rather than thermal inversion (TI). The impact of TI on cognitive function remains unclear. Therefore, this study aims to explore the role of TI in the changes of cognitive function trajectories.

methodsThis study included 5,762 participants aged 45 years and older from China Health and Retirement Longitudinal Study (CHARLS) between 2011-2015. The latent class trajectory model (LCTM) was used to fit population trajectories of cognitive development. The TI data were obtained from NASA's MERRA-2 dataset, which were totaled by comparing temperatures of atmosphere. The multinomial logistic regression model and restricted cubic spline (RCS) were used to assess the relationship between TI and cognition, the primary outcome was class membership in cognitive trajectories estimated by LCTM.

resultsThere were three trajectories of cognitive development in 5,762 participants, which were categorized into three trajectories: U-shaped (decline then improvement), Slowly decline and N-shaped (improvement then decline). In the Slowly decline class, the proportion of individuals exposed to moderate and high levels of TI was the highest. After adjusting for covariates, at medium TI exposure, the odds of being classified into the Slowly decline trajectory versus the U-shaped trajectory were 26.9% higher (OR=1.269, 95% CI = 1.054 ~ 1.528, P = 0.012), at high exposure, 47.8% higher (OR=1.478, 95% CI = 1.152 ~ 1.895, P = 0.002).

conclusionHigher TI exposure was associated with trajectory membership patterns indicative of worse cognition, strategies that reduce TI exposure may support healthier cognitive trajectories.

Indexed as

CognitionCognitive DysfunctionAgedAir PollutantsChinaFemaleHumansLatent Class AnalysisLongitudinal StudiesMaleMiddle AgedTemperatureAir Pollutants

Identifiers

PMID41218051
PMCPMC12604796

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