Loading…
The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents
Thermal comfort (TC) parameters were measured in 130 rooms from nursing homes (NH), following ISO 7730:2005 in order to evaluate the influence of winter season TC indices on quality of life (QoL) in older individuals. Mean radiant temperature (mrT), predicted mean vote (PMV) and predicted percent of...
Saved in:
Published in: | Journal of Toxicology and Environmental Health, Part A Part A, 2017-01, Vol.80 (13-15), p.729-739 |
---|---|
Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273 |
---|---|
cites | cdi_FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273 |
container_end_page | 739 |
container_issue | 13-15 |
container_start_page | 729 |
container_title | Journal of Toxicology and Environmental Health, Part A |
container_volume | 80 |
creator | Mendes, Ana Papoila, Ana Luísa Carreiro-Martins, Pedro Aguiar, Lívia Bonassi, Stefano Caires, Iolanda Palmeiro, Teresa Ribeiro, Álvaro Silva Neves, Paula Pereira, Cristiana Botelho, Amália Neuparth, Nuno Teixeira, João Paulo |
description | Thermal comfort (TC) parameters were measured in 130 rooms from nursing homes (NH), following ISO 7730:2005 in order to evaluate the influence of winter season TC indices on quality of life (QoL) in older individuals. Mean radiant temperature (mrT), predicted mean vote (PMV) and predicted percent of dissatisfied people (PPD) indices, and the respective measurement uncertainties were calculated using Monte Carlo Method. The WHOQOL-BREF questionnaire was conducted from September 2012 to April 2013, during the winter season TC sampling campaign. Winter PMV and PPD indices showed significant differences between seasons in median values for comfort. There were also significant differences between seasons for air temperature, air velocity, mrT, and relative humidity. The winter PMV index displayed a "slightly cool" [≤−1] to "cool" [≤−2] in thermal sensation scale [−3 to 3]. PPD index reflected this discomfort as evidenced by a high rate of predicted dissatisfied occupants (64%). The influence of winter season TC on older individual QoL results demonstrated that values of PMV above −0.7 had higher mean score of QoL (coefficient estimate: 11.13 units) compared with values of PMV below −0.7. These findings are of relevance to public health and may be useful for understanding NH indoor environment variables thus implementing preventive policies in terms of standards and guidelines for these susceptible populations. |
doi_str_mv | 10.1080/15287394.2017.1286929 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1950061036</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1950061036</sourcerecordid><originalsourceid>FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273</originalsourceid><addsrcrecordid>eNp9kF1LwzAUhoMobk5_ghLwujNJm687ZagbDGUyr0PaJtrRNjNpkf17U7d56VUOOc95z-EB4BqjKUYC3WFKBE9lNiUI8ykmgkkiT8A4NnlCGEGnsY5MMkAjcBHCBiGEM8nOwYgImmYcp2OwWn8auGht3Zu2MNBZGD98o2s4c411voOuhV1kVr2uq243EMvK_pIvvQ9V-wHnrjHwzYSqNG0XLsGZ1XUwV4d3At6fHtezebJ8fV7MHpZJkTHRJQyzkmgmDE6tLEmay5TFm3jGJacFEqXNBeWU8FxowaklkhBCEc8YMQUmPJ2A233u1ruv3oRObVzv27hSYUkRYhjFxAmge6rwLgRvrNr6qtF-pzBSg0h1FKkGkeogMs7dHNL7vDHl39TRXATu90DVRk2N_na-LlWnd7Xz1uu2qIJK_9_xA58rfxY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1950061036</pqid></control><display><type>article</type><title>The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents</title><source>Taylor and Francis Science and Technology Collection</source><creator>Mendes, Ana ; Papoila, Ana Luísa ; Carreiro-Martins, Pedro ; Aguiar, Lívia ; Bonassi, Stefano ; Caires, Iolanda ; Palmeiro, Teresa ; Ribeiro, Álvaro Silva ; Neves, Paula ; Pereira, Cristiana ; Botelho, Amália ; Neuparth, Nuno ; Teixeira, João Paulo</creator><creatorcontrib>Mendes, Ana ; Papoila, Ana Luísa ; Carreiro-Martins, Pedro ; Aguiar, Lívia ; Bonassi, Stefano ; Caires, Iolanda ; Palmeiro, Teresa ; Ribeiro, Álvaro Silva ; Neves, Paula ; Pereira, Cristiana ; Botelho, Amália ; Neuparth, Nuno ; Teixeira, João Paulo</creatorcontrib><description>Thermal comfort (TC) parameters were measured in 130 rooms from nursing homes (NH), following ISO 7730:2005 in order to evaluate the influence of winter season TC indices on quality of life (QoL) in older individuals. Mean radiant temperature (mrT), predicted mean vote (PMV) and predicted percent of dissatisfied people (PPD) indices, and the respective measurement uncertainties were calculated using Monte Carlo Method. The WHOQOL-BREF questionnaire was conducted from September 2012 to April 2013, during the winter season TC sampling campaign. Winter PMV and PPD indices showed significant differences between seasons in median values for comfort. There were also significant differences between seasons for air temperature, air velocity, mrT, and relative humidity. The winter PMV index displayed a "slightly cool" [≤−1] to "cool" [≤−2] in thermal sensation scale [−3 to 3]. PPD index reflected this discomfort as evidenced by a high rate of predicted dissatisfied occupants (64%). The influence of winter season TC on older individual QoL results demonstrated that values of PMV above −0.7 had higher mean score of QoL (coefficient estimate: 11.13 units) compared with values of PMV below −0.7. These findings are of relevance to public health and may be useful for understanding NH indoor environment variables thus implementing preventive policies in terms of standards and guidelines for these susceptible populations.</description><identifier>ISSN: 1528-7394</identifier><identifier>EISSN: 1087-2620</identifier><identifier>EISSN: 2381-3504</identifier><identifier>DOI: 10.1080/15287394.2017.1286929</identifier><identifier>PMID: 28534713</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Aged ; Aged, 80 and over ; Air temperature ; Discomfort ; Female ; Humans ; Indoor environments ; Male ; Mathematical analysis ; Monte Carlo simulation ; Nursing homes ; Nursing Homes - standards ; Nursing Homes - statistics & numerical data ; Predicted Mean Vote index ; Public health ; Quality Control ; Quality of Life ; Relative humidity ; Seasons ; Surveys and Questionnaires ; Temperature ; Thermal comfort ; Winter</subject><ispartof>Journal of Toxicology and Environmental Health, Part A, 2017-01, Vol.80 (13-15), p.729-739</ispartof><rights>2017 Taylor & Francis 2017</rights><rights>2017 Taylor & Francis</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273</citedby><cites>FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28534713$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mendes, Ana</creatorcontrib><creatorcontrib>Papoila, Ana Luísa</creatorcontrib><creatorcontrib>Carreiro-Martins, Pedro</creatorcontrib><creatorcontrib>Aguiar, Lívia</creatorcontrib><creatorcontrib>Bonassi, Stefano</creatorcontrib><creatorcontrib>Caires, Iolanda</creatorcontrib><creatorcontrib>Palmeiro, Teresa</creatorcontrib><creatorcontrib>Ribeiro, Álvaro Silva</creatorcontrib><creatorcontrib>Neves, Paula</creatorcontrib><creatorcontrib>Pereira, Cristiana</creatorcontrib><creatorcontrib>Botelho, Amália</creatorcontrib><creatorcontrib>Neuparth, Nuno</creatorcontrib><creatorcontrib>Teixeira, João Paulo</creatorcontrib><title>The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents</title><title>Journal of Toxicology and Environmental Health, Part A</title><addtitle>J Toxicol Environ Health A</addtitle><description>Thermal comfort (TC) parameters were measured in 130 rooms from nursing homes (NH), following ISO 7730:2005 in order to evaluate the influence of winter season TC indices on quality of life (QoL) in older individuals. Mean radiant temperature (mrT), predicted mean vote (PMV) and predicted percent of dissatisfied people (PPD) indices, and the respective measurement uncertainties were calculated using Monte Carlo Method. The WHOQOL-BREF questionnaire was conducted from September 2012 to April 2013, during the winter season TC sampling campaign. Winter PMV and PPD indices showed significant differences between seasons in median values for comfort. There were also significant differences between seasons for air temperature, air velocity, mrT, and relative humidity. The winter PMV index displayed a "slightly cool" [≤−1] to "cool" [≤−2] in thermal sensation scale [−3 to 3]. PPD index reflected this discomfort as evidenced by a high rate of predicted dissatisfied occupants (64%). The influence of winter season TC on older individual QoL results demonstrated that values of PMV above −0.7 had higher mean score of QoL (coefficient estimate: 11.13 units) compared with values of PMV below −0.7. These findings are of relevance to public health and may be useful for understanding NH indoor environment variables thus implementing preventive policies in terms of standards and guidelines for these susceptible populations.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Air temperature</subject><subject>Discomfort</subject><subject>Female</subject><subject>Humans</subject><subject>Indoor environments</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Monte Carlo simulation</subject><subject>Nursing homes</subject><subject>Nursing Homes - standards</subject><subject>Nursing Homes - statistics & numerical data</subject><subject>Predicted Mean Vote index</subject><subject>Public health</subject><subject>Quality Control</subject><subject>Quality of Life</subject><subject>Relative humidity</subject><subject>Seasons</subject><subject>Surveys and Questionnaires</subject><subject>Temperature</subject><subject>Thermal comfort</subject><subject>Winter</subject><issn>1528-7394</issn><issn>1087-2620</issn><issn>2381-3504</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMobk5_ghLwujNJm687ZagbDGUyr0PaJtrRNjNpkf17U7d56VUOOc95z-EB4BqjKUYC3WFKBE9lNiUI8ykmgkkiT8A4NnlCGEGnsY5MMkAjcBHCBiGEM8nOwYgImmYcp2OwWn8auGht3Zu2MNBZGD98o2s4c411voOuhV1kVr2uq243EMvK_pIvvQ9V-wHnrjHwzYSqNG0XLsGZ1XUwV4d3At6fHtezebJ8fV7MHpZJkTHRJQyzkmgmDE6tLEmay5TFm3jGJacFEqXNBeWU8FxowaklkhBCEc8YMQUmPJ2A233u1ruv3oRObVzv27hSYUkRYhjFxAmge6rwLgRvrNr6qtF-pzBSg0h1FKkGkeogMs7dHNL7vDHl39TRXATu90DVRk2N_na-LlWnd7Xz1uu2qIJK_9_xA58rfxY</recordid><startdate>20170101</startdate><enddate>20170101</enddate><creator>Mendes, Ana</creator><creator>Papoila, Ana Luísa</creator><creator>Carreiro-Martins, Pedro</creator><creator>Aguiar, Lívia</creator><creator>Bonassi, Stefano</creator><creator>Caires, Iolanda</creator><creator>Palmeiro, Teresa</creator><creator>Ribeiro, Álvaro Silva</creator><creator>Neves, Paula</creator><creator>Pereira, Cristiana</creator><creator>Botelho, Amália</creator><creator>Neuparth, Nuno</creator><creator>Teixeira, João Paulo</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7ST</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7TV</scope><scope>7U5</scope><scope>7U7</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>SOI</scope></search><sort><creationdate>20170101</creationdate><title>The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents</title><author>Mendes, Ana ; Papoila, Ana Luísa ; Carreiro-Martins, Pedro ; Aguiar, Lívia ; Bonassi, Stefano ; Caires, Iolanda ; Palmeiro, Teresa ; Ribeiro, Álvaro Silva ; Neves, Paula ; Pereira, Cristiana ; Botelho, Amália ; Neuparth, Nuno ; Teixeira, João Paulo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Air temperature</topic><topic>Discomfort</topic><topic>Female</topic><topic>Humans</topic><topic>Indoor environments</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Monte Carlo simulation</topic><topic>Nursing homes</topic><topic>Nursing Homes - standards</topic><topic>Nursing Homes - statistics & numerical data</topic><topic>Predicted Mean Vote index</topic><topic>Public health</topic><topic>Quality Control</topic><topic>Quality of Life</topic><topic>Relative humidity</topic><topic>Seasons</topic><topic>Surveys and Questionnaires</topic><topic>Temperature</topic><topic>Thermal comfort</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mendes, Ana</creatorcontrib><creatorcontrib>Papoila, Ana Luísa</creatorcontrib><creatorcontrib>Carreiro-Martins, Pedro</creatorcontrib><creatorcontrib>Aguiar, Lívia</creatorcontrib><creatorcontrib>Bonassi, Stefano</creatorcontrib><creatorcontrib>Caires, Iolanda</creatorcontrib><creatorcontrib>Palmeiro, Teresa</creatorcontrib><creatorcontrib>Ribeiro, Álvaro Silva</creatorcontrib><creatorcontrib>Neves, Paula</creatorcontrib><creatorcontrib>Pereira, Cristiana</creatorcontrib><creatorcontrib>Botelho, Amália</creatorcontrib><creatorcontrib>Neuparth, Nuno</creatorcontrib><creatorcontrib>Teixeira, João Paulo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Pollution Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Environment Abstracts</collection><jtitle>Journal of Toxicology and Environmental Health, Part A</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mendes, Ana</au><au>Papoila, Ana Luísa</au><au>Carreiro-Martins, Pedro</au><au>Aguiar, Lívia</au><au>Bonassi, Stefano</au><au>Caires, Iolanda</au><au>Palmeiro, Teresa</au><au>Ribeiro, Álvaro Silva</au><au>Neves, Paula</au><au>Pereira, Cristiana</au><au>Botelho, Amália</au><au>Neuparth, Nuno</au><au>Teixeira, João Paulo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents</atitle><jtitle>Journal of Toxicology and Environmental Health, Part A</jtitle><addtitle>J Toxicol Environ Health A</addtitle><date>2017-01-01</date><risdate>2017</risdate><volume>80</volume><issue>13-15</issue><spage>729</spage><epage>739</epage><pages>729-739</pages><issn>1528-7394</issn><eissn>1087-2620</eissn><eissn>2381-3504</eissn><abstract>Thermal comfort (TC) parameters were measured in 130 rooms from nursing homes (NH), following ISO 7730:2005 in order to evaluate the influence of winter season TC indices on quality of life (QoL) in older individuals. Mean radiant temperature (mrT), predicted mean vote (PMV) and predicted percent of dissatisfied people (PPD) indices, and the respective measurement uncertainties were calculated using Monte Carlo Method. The WHOQOL-BREF questionnaire was conducted from September 2012 to April 2013, during the winter season TC sampling campaign. Winter PMV and PPD indices showed significant differences between seasons in median values for comfort. There were also significant differences between seasons for air temperature, air velocity, mrT, and relative humidity. The winter PMV index displayed a "slightly cool" [≤−1] to "cool" [≤−2] in thermal sensation scale [−3 to 3]. PPD index reflected this discomfort as evidenced by a high rate of predicted dissatisfied occupants (64%). The influence of winter season TC on older individual QoL results demonstrated that values of PMV above −0.7 had higher mean score of QoL (coefficient estimate: 11.13 units) compared with values of PMV below −0.7. These findings are of relevance to public health and may be useful for understanding NH indoor environment variables thus implementing preventive policies in terms of standards and guidelines for these susceptible populations.</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>28534713</pmid><doi>10.1080/15287394.2017.1286929</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1528-7394 |
ispartof | Journal of Toxicology and Environmental Health, Part A, 2017-01, Vol.80 (13-15), p.729-739 |
issn | 1528-7394 1087-2620 2381-3504 |
language | eng |
recordid | cdi_proquest_journals_1950061036 |
source | Taylor and Francis Science and Technology Collection |
subjects | Aged Aged, 80 and over Air temperature Discomfort Female Humans Indoor environments Male Mathematical analysis Monte Carlo simulation Nursing homes Nursing Homes - standards Nursing Homes - statistics & numerical data Predicted Mean Vote index Public health Quality Control Quality of Life Relative humidity Seasons Surveys and Questionnaires Temperature Thermal comfort Winter |
title | The Influence of Thermal Comfort on the Quality of Life of Nursing Home Residents |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T12%3A46%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Influence%20of%20Thermal%20Comfort%20on%20the%20Quality%20of%20Life%20of%20Nursing%20Home%20Residents&rft.jtitle=Journal%20of%20Toxicology%20and%20Environmental%20Health,%20Part%20A&rft.au=Mendes,%20Ana&rft.date=2017-01-01&rft.volume=80&rft.issue=13-15&rft.spage=729&rft.epage=739&rft.pages=729-739&rft.issn=1528-7394&rft.eissn=1087-2620&rft_id=info:doi/10.1080/15287394.2017.1286929&rft_dat=%3Cproquest_cross%3E1950061036%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c468t-616d2a68e13f9d23b936347747975c08dfb857527b8a875f29222507462ec1273%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1950061036&rft_id=info:pmid/28534713&rfr_iscdi=true |