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Dataset Information

Temperature variability and common diseases of the elderly in China: a national cross-sectional study.


ABSTRACT:

Background

In the context of climate change, it has been well observed that short-term temperature variability (TV) could increase the overall and cause-specific mortality and morbidity. However, the association between long-term TV and a broader spectrum of diseases is not yet well understood, especially in the elderly.

Methods

Our study used data from the fourth Urban and Rural Elderly Population (UREP) study. Long-term TV was calculated from the standard deviation (SD) of daily minimum and maximum temperatures within the study periods (2010-2014, 2011-2014, 2012-2014, 2013-2014, and 2014). Ten self-reported diseases and conditions were collected by questionnaire, including cataract, hypertension, diabetes, cardio-cerebrovascular diseases, stomach diseases, arthritis, chro

SUBMITTER: Wen B 

PROVIDER: S-EPMC9824998 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature