Dwelling Characteristics Influence Indoor Temperature and May Pose Health Threats in LMICs.


Journal

Annals of global health
ISSN: 2214-9996
Titre abrégé: Ann Glob Health
Pays: United States
ID NLM: 101620864

Informations de publication

Date de publication:
03 08 2020
Historique:
entrez: 25 8 2020
pubmed: 25 8 2020
medline: 16 10 2021
Statut: epublish

Résumé

Shelter and safe housing is a basic human need that brings about a sense of ownership, self-sufficiency, and citizenship. Millions of people around the world live in inadequate dwellings in unhealthy areas, such as urban slums. These dwellings may experience indoor temperatures that impact inhabitants' health. Indoor dwelling temperatures vary depending on many factors including geographic location, such as inland versus coastal. In an era of climate change, understanding how dwelling characteristics influence indoor temperature is important, especially in low- and middle-income countries, to protect health. To assess indoor temperature in low-cost dwellings located in a coastal setting in relation to dwelling characteristics. Indoor temperature and relative humidity loggers were installed from 1 June 2017 to 15 May 2018 in 50 dwellings in two settlements in a coastal town on the east coast of South Africa. Ambient outdoor temperature data were obtained from the national weather service, indoor temperature data were converted into apparent temperature, and heat index calculations were made to consider possible heat-health risks. A household questionnaire and dwelling observation assessment were administered. A mixed-effects linear regression model was constructed to consider the impact of dwelling characteristics on indoor apparent temperature. Among 17 dwellings with all data sets, indoor temperatures were consistently higher than, and well correlated (r = 0.92) with outdoor temperatures. Average differences in indoor and outdoor temperatures were about 4°C, with statistically significant differences in percentage difference of indoor/outdoor between seasons (p < 0.001). Heat indices for indoor temperatures were exceeded mostly in summer, thereby posing possible health risks. Dwellings with cement floors were statistically significantly cooler than any other floor type across all seasons. Low-cost dwellings experienced temperatures indoors higher than outdoor temperatures in part due to floor type. These results help inform interventions that consider housing and human health (n = 289).

Sections du résumé

Background
Shelter and safe housing is a basic human need that brings about a sense of ownership, self-sufficiency, and citizenship. Millions of people around the world live in inadequate dwellings in unhealthy areas, such as urban slums. These dwellings may experience indoor temperatures that impact inhabitants' health. Indoor dwelling temperatures vary depending on many factors including geographic location, such as inland versus coastal. In an era of climate change, understanding how dwelling characteristics influence indoor temperature is important, especially in low- and middle-income countries, to protect health.
Objective
To assess indoor temperature in low-cost dwellings located in a coastal setting in relation to dwelling characteristics.
Methods
Indoor temperature and relative humidity loggers were installed from 1 June 2017 to 15 May 2018 in 50 dwellings in two settlements in a coastal town on the east coast of South Africa. Ambient outdoor temperature data were obtained from the national weather service, indoor temperature data were converted into apparent temperature, and heat index calculations were made to consider possible heat-health risks. A household questionnaire and dwelling observation assessment were administered. A mixed-effects linear regression model was constructed to consider the impact of dwelling characteristics on indoor apparent temperature.
Findings
Among 17 dwellings with all data sets, indoor temperatures were consistently higher than, and well correlated (r = 0.92) with outdoor temperatures. Average differences in indoor and outdoor temperatures were about 4°C, with statistically significant differences in percentage difference of indoor/outdoor between seasons (p < 0.001). Heat indices for indoor temperatures were exceeded mostly in summer, thereby posing possible health risks. Dwellings with cement floors were statistically significantly cooler than any other floor type across all seasons.
Conclusions
Low-cost dwellings experienced temperatures indoors higher than outdoor temperatures in part due to floor type. These results help inform interventions that consider housing and human health (n = 289).

Identifiants

pubmed: 32832385
doi: 10.5334/aogh.2938
pmc: PMC7413138
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

91

Informations de copyright

Copyright: © 2020 The Author(s).

Déclaration de conflit d'intérêts

The authors have no competing interests to declare.

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Auteurs

June Teare (J)

Department of Environmental Health, School of Behavioural and Lifestyle Sciences, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, SA.
Environment and Health Research Unit, South African Medical Research Council, Johannesburg, SA.

Angela Mathee (A)

Department of Environmental Health, School of Behavioural and Lifestyle Sciences, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, SA.
Environment and Health Research Unit, South African Medical Research Council, Johannesburg, SA.
Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, SA.

Nisha Naicker (N)

Department of Environmental Health, School of Behavioural and Lifestyle Sciences, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, SA.
Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, SA.
Epidemiology and Surveillance, National Institute of Occupational Health, Johannesburg, SA.

Cheryl Swanepoel (C)

Department of Environmental Health, School of Behavioural and Lifestyle Sciences, Faculty of Health Sciences, Nelson Mandela University, Port Elizabeth, SA.

Thandi Kapwata (T)

Environment and Health Research Unit, South African Medical Research Council, Johannesburg, SA.
Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg, SA.

Yusentha Balakrishna (Y)

Biostatistics Unit, South African Medical Research Council, Durban, SA.

David Jean du Preez (DJ)

Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, SA.
Laboratoire de l'Atmosphère et des Cyclones, Université de La Réunion, Saint-Denis de La Réunion, FR.

Danielle A Millar (DA)

Environment and Health Research Unit, South African Medical Research Council, Pretoria, SA.

Caradee Y Wright (CY)

Laboratoire de l'Atmosphère et des Cyclones, Université de La Réunion, Saint-Denis de La Réunion, FR.
Environment and Health Research Unit, South African Medical Research Council, Pretoria, SA.

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