Literature DB >> 25305328

Assessing spatial associations between thermal stress and mortality in Hong Kong: a small-area ecological study.

Thuan-Quoc Thach1, Qishi Zheng1, Poh-Chin Lai2, Paulina Pui-Yun Wong2, Patsy Yuen-Kwan Chau1, Heiko J Jahn3, Dietrich Plass3, Lutz Katzschner4, Alexander Kraemer3, Chit-Ming Wong5.   

Abstract

AIMS: Physiological equivalent temperature (PET) is a widely used index to assess thermal comfort of the human body. Evidence on how thermal stress-related health effects vary with small geographical areas is limited. The objectives of this study are (i) to explore whether there were significant patterns of geographical clustering of thermal stress as measured by PET and mortality and (ii) to assess the association between PET and mortality in small geographical areas.
METHODS: A small area ecological cross-sectional study was conducted at tertiary planning units (TPUs) level. Age-standardized mortality rates (ASMR) and monthly deaths at TPUs level for 2006 were calculated for cause-specific diseases. A PET map with 100 m × 100 m resolution for the same period was derived from Hong Kong Urban Climatic Analysis Map data and the annual and monthly averages of PET for each TPU were computed. Global Moran's I and local indicator of spatial association (LISA) analyses were performed. A generalized linear mixed model was used to model monthly deaths against PET adjusted for socio-economic deprivation.
RESULTS: We found positive spatial autocorrelation between PET and ASMR. There were spatial correlations between PET and ASMR, particularly in the north of Hong Kong Island, most parts of Kowloon, and across New Territories. A 1°C change in PET was associated with an excess risk (%) of 2.99 (95% CI: 0.50-5.48) for all natural causes, 4.75 (1.14-8.36) for cardiovascular, 7.39 (4.64-10.10) for respiratory diseases in the cool season, and 4.31 (0.12 to 8.50) for cardiovascular diseases in the warm season.
CONCLUSIONS: Variations between TPUs in PET had an important influence on cause-specific mortality, especially in the cool season. PET may have an impact on the health of socio-economically deprived population groups. Our results suggest that targeting policy interventions at high-risk areas may be a feasible option for reducing PET-related mortality.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hong Kong; Local Indicators of Spatial Association (LISA); Mortality; Physiological equivalent temperature (PET); Socio-economic deprivation; Thermal stress

Mesh:

Year:  2014        PMID: 25305328     DOI: 10.1016/j.scitotenv.2014.09.057

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

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Journal:  Br Med Bull       Date:  2019-06-19       Impact factor: 4.291

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Authors:  Hung Chak Ho; Man Sing Wong; Sawaid Abbas; Rui Zhu
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4.  The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong.

Authors:  Thayer Alshaabi; David R Dewhurst; James P Bagrow; Peter S Dodds; Christopher M Danforth
Journal:  PLoS One       Date:  2021-03-24       Impact factor: 3.240

5.  Clustering of Socioeconomic Data in Hong Kong for Planning Better Community Health Protection.

Authors:  Zhe Huang; Emily Ying Yang Chan; Chi Shing Wong; Benny Chung Ying Zee
Journal:  Int J Environ Res Public Health       Date:  2021-11-30       Impact factor: 3.390

6.  Health Disparity Resulting from the Effect of Built Environment on Temperature-Related Mortality in a Subtropical Urban Setting.

Authors:  Zhe Huang; Emily Ying-Yang Chan; Chi-Shing Wong; Sida Liu; Benny Chung-Ying Zee
Journal:  Int J Environ Res Public Health       Date:  2022-07-12       Impact factor: 4.614

7.  Spatial Variability of Geriatric Depression Risk in a High-Density City: A Data-Driven Socio-Environmental Vulnerability Mapping Approach.

Authors:  Hung Chak Ho; Kevin Ka-Lun Lau; Ruby Yu; Dan Wang; Jean Woo; Timothy Chi Yui Kwok; Edward Ng
Journal:  Int J Environ Res Public Health       Date:  2017-08-31       Impact factor: 3.390

  7 in total

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