Cumulative effect of indoor temperature on cardiovascular disease–related emergency department visits among older adults in Taiwan

Jung, Chien‐Cheng; Hsia, Ying Fang; Hsu, Nai Yun; Wang, Yu Chun; Su, Huey Jen

doi:10.1016/j.scitotenv.2020.138958

Cited by 16 publications

(11 citation statements)

References 42 publications

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“…Before calculating the CDHs, we estimated prediction models of hourly indoor temperature for Taiwan’s households. The detailed processes and materials of the indoor temperature prediction model are reported in our previous study [ 18 ]. Briefly, the hourly levels of indoor and outdoor weather data, normalized difference vegetation index (NDVI), building characteristics, occupants’ behavior, and electricity consumption were collected from 2012 to 2015 in Taiwan from 30 households.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, some studies have used heating and cooling degree hours for assessing the effects of energy consumption indoors on thermal comfort [ 16 , 17 ]. Our previous study also used cumulative degree hours (CDHs) to investigate the cumulative effects of indoor temperature exposure on cardiovascular diseases [ 18 ]. However, respiratory disease was one of the top 10 leading causes of death in Taiwan in 2019 ( , accessed on 16 June 2020), but no study investigated the cumulative effect of indoor temperature exposure on the risks of IRD and NIRD.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People

Jung

Chen

Hsia

et al. 2021

IJERPH

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Previous studies have demonstrated that outdoor temperature exposure was an important risk factor for respiratory diseases. However, no study investigates the effect of indoor temperature exposure on respiratory diseases and further assesses cumulative effect. The objective of this study is to study the cumulative effect of indoor temperature exposure on emergency department visits due to infectious (IRD) and non-infectious (NIRD) respiratory diseases among older adults. Subjects were collected from the Longitudinal Health Insurance Database in Taiwan. The cumulative degree hours (CDHs) was used to assess the cumulative effect of indoor temperature exposure. A distributed lag nonlinear model with quasi-Poisson function was used to analyze the association between CDHs and emergency department visits due to IRD and NIRD. For IRD, there was a significant risk at 27, 28, 29, 30, and 31 °C when the CDHs exceeded 69, 40, 14, 5, and 1 during the cooling season (May to October), respectively, and at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 8, 1, 1, 35, and 62 during the heating season (November to April), respectively. For NIRD, there was a significant risk at 19, 20, 21, 22, and 23 °C when the CDHs exceeded 1, 1, 16, 36, and 52 during the heating season, respectively; the CDHs at 1 was only associated with the NIRD at 31 °C during the cooling season. Our data also indicated that the CDHs was lower among men than women. We conclude that the cumulative effects of indoor temperature exposure should be considered to reduce IRD risk in both cooling and heating seasons and NIRD risk in heating season and the cumulative effect on different gender.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People

Jung

Chen

Hsia

et al. 2021

IJERPH

Self Cite

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“…The indoor temperature was calculated from a prediction model of indoor temperatures. The detailed processes and materials of indoor temperature prediction estimation are reported in our previous study [24]. In brief, we collected hourly levels of indoor and outdoor weather data, land surface temperature, the normalized difference vegetation index (NDVI), building characteristics, occupants' behavior, and electricity consumption from 30 study houses in Taiwan from 2012 to 2015, then a mixed effect model was used to build a prediction model of hourly indoor temperature.…”

Section: Cumulative Degree Hour Calculationmentioning

confidence: 99%

“…In this study, we collected the weather, land surface temperature, NDVI, electricity consumption, and building characterisitcs from Taiwan's Central Weather Bureau, National Aeronautics and Space Administration (NASA, US), NASA, Taiwan power company, and statistical report of Ministry of the Interior in Taiwan, respectively, to calculate the hourly indoor temperature from 2000 to 2014 based on the prediction models [24]. After calculating the indoor temperature, the data was used to calculate the CDHs.…”

Section: Cumulative Degree Hour Calculationmentioning

confidence: 99%

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Indoor temperature and respiratory disease–related emergency department visits: a study of cumulative effects among older adults in Taiwan

Chien-Cheng¹,

Hsia²,

Hsu³

et al. 2020

Preprint

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Background Studies have demonstrated that exposure to extreme outdoor temperatures increases respiratory diseases related mortality and morbidity, especially in older adults. However, older adults spend over 80% of their time indoors, and the cumulative effects of exposure to indoor temperature on the risk of respiratory diseases have not been investigated. The objective of this study was to study the cumulative effect of indoor temperature exposure on emergency department visit due to respiratory diseases among older adults. Methods Participant data were collected from the Longitudinal Health Insurance Database from 2000 to 2014 in Taiwan. The cumulative degree hour was used to reflect the cumulative effect of indoor temperature exposure. A distributed lag nonlinear model was used to analyze the association between cumulative degree hour and emergency department visit due to respiratory diseases. Results Our findings revealed a significant risk of emergency department visits due to respiratory diseases at 27, 28, 29, 30, and 31 °C when cooling cumulative degree hours exceeded 60, 30, 19, 1, and 1, respectively, during the hot season (May to October) and at 19, 20, 21, 22, and 23 °C when heating cumulative degree hours exceeded 1, 1, 1, 39, and 49, respectively, during the cold season (November to April). Conclusions We conclude that the cumulative effects of indoor temperature exposure should be considered to reduce respiratory disease risk under climate change.

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Influence of phase change materials on thermal comfort, greenhouse gas emissions, and potential indoor air quality issues across different climatic regions: A critical review

Amoatey

Al‐Jabri

Al‐Saadi

2022

Intl J of Energy Research

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There has been growing interest in applying phase change materials (PCMs) in buildings owing to their energy conservation/latent heat storage properties and potential to improve thermal comfort. Various reviews have extensively discussed the thermophysical properties of PCMs and their energy-saving potential in buildings. However, comprehensive reviews on the indoor thermal/ personal comfort behavior of PCMs under different climates remain limited. Therefore, this study aims to present a comprehensive state-of-the-art review of the impact of PCMs on indoor thermal comfort levels in buildings located in cities within different subclimate zones and their personal cooling effect when integrated with clothing (vest). In addition, greenhouse gas (GHG) mitigation potentials and indoor air pollutant emission properties of PCM-enhanced buildings were also reviewed. Hundreds of published articles of PCMs in PubMed and Scopus databases, including a manual search approach, were utilized. The results from this state-of-the-art study have shown that incorporating PCMs in buildings satisfactorily reduced the indoor air temperature of most buildings located in hot climate (BSh, BWh) zones, but very limited studies have been performed in the cold (Dfc, BSk) environments. In general, there was an improvement in the thermal comfort levels of the PCM-enhanced buildings. However, these were mostly assessed using indices such as predicted mean vote, predicted percentage of dissatisfied, comfort index, and total discomfort change, without any comprehensive survey studies (eg, based on

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Cumulative effect of indoor temperature on cardiovascular disease–related emergency department visits among older adults in Taiwan

Cited by 16 publications

References 42 publications

Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People

Influence of Indoor Temperature Exposure on Emergency Department Visits Due to Infectious and Non-Infectious Respiratory Diseases for Older People

Indoor temperature and respiratory disease–related emergency department visits: a study of cumulative effects among older adults in Taiwan

Influence of phase change materials on thermal comfort, greenhouse gas emissions, and potential indoor air quality issues across different climatic regions: A critical review

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