Electrocardiogram abnormalities in residents in cold homes: a cross-sectional analysis of the nationwide Smart Wellness Housing survey in Japan View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-10-12

AUTHORS

Wataru Umishio, Toshiharu Ikaga, Kazuomi Kario, Yoshihisa Fujino, Masaru Suzuki, Shintaro Ando, Tanji Hoshi, Takesumi Yoshimura, Hiroshi Yoshino, Shuzo Murakami,

ABSTRACT

BACKGROUND: Excess winter mortality caused by cardiovascular disease is particularly profound in cold houses. Consistent with this, accumulating evidence indicates that low indoor temperatures at home increase blood pressure. However, it remains unclear whether low indoor temperatures affect other cardiovascular biomarkers. In its latest list of priority medical devices for management of cardiovascular diseases, the World Health Organization (WHO) included electrocardiography systems as capital medical devices. We therefore examined the association between indoor temperature and electrocardiogram findings. METHODS: We collected electrocardiogram data from 1480 participants during health checkups. We also measured the indoor temperature in the living room and bedroom for 2 weeks in winter, and divided participants into those living in warm houses (average exposure temperature ≥ 18 °C), slightly cold houses (12-18 °C), and cold houses (< 12 °C) in accordance with guidelines issued by the WHO and United Kingdom. The association between indoor temperature (warm vs. slightly cold vs. cold houses) and electrocardiogram findings was analyzed using multivariate logistic regression models, with adjustment for confounders such as demographics (e.g., age, sex, body mass index, household income), lifestyle (e.g., eating habit, exercise, smoking, alcohol drinking), and region. RESULTS: The average temperature at home was 14.7 °C, and 238, 924, and 318 participants lived in warm, slightly cold, and cold houses, respectively. Electrocardiogram abnormalities were observed in 17.6%, 25.4%, and 30.2% of participants living in warm, slightly cold, and cold houses, respectively (p = 0.003, chi-squared test). Compared to participants living in warm houses, the odds ratio of having electrocardiogram abnormalities was 1.79 (95% confidence interval: 1.14-2.81, p = 0.011) for those living in slightly cold houses and 2.18 (95% confidence interval: 1.27-3.75, p = 0.005) for those living in cold houses. CONCLUSIONS: In addition to blood pressure, living in cold houses may have adverse effects on electrocardiogram. Conversely, keeping the indoor thermal environment within an appropriate range through a combination of living in highly thermal insulated houses and appropriate use of heating devices may contribute to good cardiovascular health. TRIAL REGISTRATION: The trial was retrospectively registered on 27 Dec 2017 to the University hospital Medical Information Network Clinical Trials Registry (UMIN-CTR, https://www.umin.ac.jp/ctr/ , registration identifier number UMIN000030601 ). More... »

PAGES

104

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12199-021-01024-1

DOI

http://dx.doi.org/10.1186/s12199-021-01024-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1141825952

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34641787


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiovascular Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cold Temperature", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrocardiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Housing", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Temperature", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of Architecture and Building Engineering, School of Environment and Society, Tokyo Institute of Technology, W8-11, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8552 Japan", 
            "Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Umishio", 
        "givenName": "Wataru", 
        "id": "sg:person.012661330761.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661330761.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan", 
          "id": "http://www.grid.ac/institutes/grid.26091.3c", 
          "name": [
            "Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ikaga", 
        "givenName": "Toshiharu", 
        "id": "sg:person.013472450113.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013472450113.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Jichi Medical University School of Medicine, Shimotsuke, Tochigi Japan", 
          "id": "http://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Department of Cardiology, Jichi Medical University School of Medicine, Shimotsuke, Tochigi Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kario", 
        "givenName": "Kazuomi", 
        "id": "sg:person.01154131602.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154131602.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujino", 
        "givenName": "Yoshihisa", 
        "id": "sg:person.01171406332.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171406332.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Emergency Medicine, Ichikawa General Hospital, Tokyo Dental College, Ichikawa, Chiba Japan", 
          "id": "http://www.grid.ac/institutes/grid.265070.6", 
          "name": [
            "Department of Emergency Medicine, Ichikawa General Hospital, Tokyo Dental College, Ichikawa, Chiba Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Masaru", 
        "id": "sg:person.01342040104.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342040104.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Architecture, Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu, Fukuoka Japan", 
          "id": "http://www.grid.ac/institutes/grid.412586.c", 
          "name": [
            "Department of Architecture, Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu, Fukuoka Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ando", 
        "givenName": "Shintaro", 
        "id": "sg:person.015333170444.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015333170444.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan University, Hachioji, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265074.2", 
          "name": [
            "Tokyo Metropolitan University, Hachioji, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hoshi", 
        "givenName": "Tanji", 
        "id": "sg:person.015656324731.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015656324731.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan", 
          "id": "http://www.grid.ac/institutes/grid.271052.3", 
          "name": [
            "University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshimura", 
        "givenName": "Takesumi", 
        "id": "sg:person.01012705632.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012705632.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tohoku University, Sendai, Miyagi Japan", 
          "id": "http://www.grid.ac/institutes/grid.69566.3a", 
          "name": [
            "Tohoku University, Sendai, Miyagi Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yoshino", 
        "givenName": "Hiroshi", 
        "id": "sg:person.014030037211.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014030037211.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Building Environment and Energy Conservation, Kojimachi, Chiyoda-ku, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Institute for Building Environment and Energy Conservation, Kojimachi, Chiyoda-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murakami", 
        "givenName": "Shuzo", 
        "id": "sg:person.014675567761.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014675567761.22"
        ], 
        "type": "Person"
      }, 
      {}
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s11356-016-6235-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050795621", 
          "https://doi.org/10.1007/s11356-016-6235-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-7-263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012183274", 
          "https://doi.org/10.1186/1471-2458-7-263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12944-020-01237-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1127880895", 
          "https://doi.org/10.1186/s12944-020-01237-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/hr.2016.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049404569", 
          "https://doi.org/10.1038/hr.2016.79"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00281300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010859378", 
          "https://doi.org/10.1007/bf00281300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12199-021-00992-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1139356484", 
          "https://doi.org/10.1186/s12199-021-00992-8"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-10-12", 
    "datePublishedReg": "2021-10-12", 
    "description": "BACKGROUND: Excess winter mortality caused by cardiovascular disease is particularly profound in cold houses. Consistent with this, accumulating evidence indicates that low indoor temperatures at home increase blood pressure. However, it remains unclear whether low indoor temperatures affect other cardiovascular biomarkers. In its latest list of priority medical devices for management of cardiovascular diseases, the World Health Organization (WHO) included electrocardiography systems as capital medical devices. We therefore examined the association between indoor temperature and electrocardiogram findings.\nMETHODS: We collected electrocardiogram data from 1480 participants during health checkups. We also measured the indoor temperature in the living room and bedroom for 2 weeks in winter, and divided participants into those living in warm houses (average exposure temperature \u2265\u200918 \u00b0C), slightly cold houses (12-18 \u00b0C), and cold houses (<\u200912 \u00b0C) in accordance with guidelines issued by the WHO and United Kingdom. The association between indoor temperature (warm vs. slightly cold vs. cold houses) and electrocardiogram findings was analyzed using multivariate logistic regression models, with adjustment for confounders such as demographics (e.g., age, sex, body mass index, household income), lifestyle (e.g., eating habit, exercise, smoking, alcohol drinking), and region.\nRESULTS: The average temperature at home was 14.7 \u00b0C, and 238, 924, and 318 participants lived in warm, slightly cold, and cold houses, respectively. Electrocardiogram abnormalities were observed in 17.6%, 25.4%, and 30.2% of participants living in warm, slightly cold, and cold houses, respectively (p = 0.003, chi-squared test). Compared to participants living in warm houses, the odds ratio of having electrocardiogram abnormalities was 1.79 (95% confidence interval: 1.14-2.81, p = 0.011) for those living in slightly cold houses and 2.18 (95% confidence interval: 1.27-3.75, p = 0.005) for those living in cold houses.\nCONCLUSIONS: In addition to blood pressure, living in cold houses may have adverse effects on electrocardiogram. Conversely, keeping the indoor thermal environment within an appropriate range through a combination of living in highly thermal insulated houses and appropriate use of heating devices may contribute to good cardiovascular health.\nTRIAL REGISTRATION: The trial was retrospectively registered on 27 Dec 2017 to the University hospital Medical Information Network Clinical Trials Registry (UMIN-CTR, https://www.umin.ac.jp/ctr/ , registration identifier number UMIN000030601 ).", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12199-021-01024-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6910120", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1115673", 
        "issn": [
          "1342-078X", 
          "1347-4715"
        ], 
        "name": "Environmental Health and Preventive Medicine", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "keywords": [
      "World Health Organization", 
      "electrocardiogram abnormalities", 
      "electrocardiogram findings", 
      "blood pressure", 
      "cardiovascular disease", 
      "University Hospital Medical Information Network Clinical Trials Registry", 
      "multivariate logistic regression model", 
      "increases blood pressure", 
      "Clinical Trials Registry", 
      "better cardiovascular health", 
      "logistic regression models", 
      "cross-sectional analysis", 
      "excess winter mortality", 
      "Trials Registry", 
      "health checkups", 
      "cardiovascular health", 
      "cardiovascular biomarkers", 
      "odds ratio", 
      "cold house", 
      "Health Organization", 
      "adverse effects", 
      "abnormalities", 
      "appropriate use", 
      "disease", 
      "regression models", 
      "participants", 
      "association", 
      "electrocardiogram data", 
      "checkup", 
      "confounders", 
      "registry", 
      "medical devices", 
      "findings", 
      "mortality", 
      "biomarkers", 
      "trials", 
      "weeks", 
      "electrocardiogram", 
      "demographics", 
      "home", 
      "cold homes", 
      "health", 
      "United Kingdom", 
      "lifestyle", 
      "guidelines", 
      "pressure", 
      "electrocardiography system", 
      "residents", 
      "evidence", 
      "adjustment", 
      "management", 
      "bedroom", 
      "living room", 
      "low indoor temperatures", 
      "winter mortality", 
      "room", 
      "effect", 
      "survey", 
      "use", 
      "combination", 
      "addition", 
      "later lists", 
      "data", 
      "list", 
      "ratio", 
      "Japan", 
      "analysis", 
      "Kingdom", 
      "accordance", 
      "house", 
      "region", 
      "appropriate range", 
      "devices", 
      "model", 
      "organization", 
      "heating device", 
      "system", 
      "range", 
      "Housing Survey", 
      "indoor temperature", 
      "environment", 
      "winter", 
      "insulated houses", 
      "warm house", 
      "average temperature", 
      "temperature", 
      "thermal environment", 
      "indoor thermal environment", 
      "home increase blood pressure", 
      "priority medical devices", 
      "capital medical devices", 
      "thermal insulated houses", 
      "hospital Medical Information Network Clinical Trials Registry", 
      "Medical Information Network Clinical Trials Registry", 
      "Information Network Clinical Trials Registry", 
      "Network Clinical Trials Registry", 
      "nationwide Smart Wellness Housing survey", 
      "Smart Wellness Housing survey", 
      "Wellness Housing survey"
    ], 
    "name": "Electrocardiogram abnormalities in residents in cold homes: a cross-sectional analysis of the nationwide Smart Wellness Housing survey in Japan", 
    "pagination": "104", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1141825952"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12199-021-01024-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34641787"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12199-021-01024-1", 
      "https://app.dimensions.ai/details/publication/pub.1141825952"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T19:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_892.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12199-021-01024-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01024-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01024-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01024-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01024-1'


 

This table displays all metadata directly associated to this object as RDF triples.

324 TRIPLES      22 PREDICATES      143 URIs      129 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12199-021-01024-1 schema:about N08add5bdf1044c00afcfacb5f0224afe
2 N0b90e8f1a61a481bb1406fa520869b73
3 N299cb831792e4e48a06542d13f2b5aed
4 N3a06df9d40dc45e495e56c8a4305300a
5 N3d9a35287b924dfab530f598b3eacce8
6 N4d4c087a297849a28b73b74eea7161d1
7 N51c002a1f41049f39693cc5047725a64
8 N58299fc3ea444ca8a10bd84b96e9b9b7
9 N5b21e1d94b2a4e06a621bbbac6e10480
10 N63d7b87ac6cd4446a911e1cf191d698e
11 N67c6169a93d647238da643a8cf5c8d68
12 Nb5deae3458874b41b6ba2d1fa05aec6b
13 anzsrc-for:11
14 anzsrc-for:1117
15 schema:author Nb1bf68e68b504671a0d36d9e936b9130
16 schema:citation sg:pub.10.1007/bf00281300
17 sg:pub.10.1007/s11356-016-6235-y
18 sg:pub.10.1038/hr.2016.79
19 sg:pub.10.1186/1471-2458-7-263
20 sg:pub.10.1186/s12199-021-00992-8
21 sg:pub.10.1186/s12944-020-01237-3
22 schema:datePublished 2021-10-12
23 schema:datePublishedReg 2021-10-12
24 schema:description BACKGROUND: Excess winter mortality caused by cardiovascular disease is particularly profound in cold houses. Consistent with this, accumulating evidence indicates that low indoor temperatures at home increase blood pressure. However, it remains unclear whether low indoor temperatures affect other cardiovascular biomarkers. In its latest list of priority medical devices for management of cardiovascular diseases, the World Health Organization (WHO) included electrocardiography systems as capital medical devices. We therefore examined the association between indoor temperature and electrocardiogram findings. METHODS: We collected electrocardiogram data from 1480 participants during health checkups. We also measured the indoor temperature in the living room and bedroom for 2 weeks in winter, and divided participants into those living in warm houses (average exposure temperature ≥ 18 °C), slightly cold houses (12-18 °C), and cold houses (< 12 °C) in accordance with guidelines issued by the WHO and United Kingdom. The association between indoor temperature (warm vs. slightly cold vs. cold houses) and electrocardiogram findings was analyzed using multivariate logistic regression models, with adjustment for confounders such as demographics (e.g., age, sex, body mass index, household income), lifestyle (e.g., eating habit, exercise, smoking, alcohol drinking), and region. RESULTS: The average temperature at home was 14.7 °C, and 238, 924, and 318 participants lived in warm, slightly cold, and cold houses, respectively. Electrocardiogram abnormalities were observed in 17.6%, 25.4%, and 30.2% of participants living in warm, slightly cold, and cold houses, respectively (p = 0.003, chi-squared test). Compared to participants living in warm houses, the odds ratio of having electrocardiogram abnormalities was 1.79 (95% confidence interval: 1.14-2.81, p = 0.011) for those living in slightly cold houses and 2.18 (95% confidence interval: 1.27-3.75, p = 0.005) for those living in cold houses. CONCLUSIONS: In addition to blood pressure, living in cold houses may have adverse effects on electrocardiogram. Conversely, keeping the indoor thermal environment within an appropriate range through a combination of living in highly thermal insulated houses and appropriate use of heating devices may contribute to good cardiovascular health. TRIAL REGISTRATION: The trial was retrospectively registered on 27 Dec 2017 to the University hospital Medical Information Network Clinical Trials Registry (UMIN-CTR, https://www.umin.ac.jp/ctr/ , registration identifier number UMIN000030601 ).
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf N483c35445bc547e2b44e704a55d8c6ee
29 N6fdaf6f326c24356a51b19e712b3ab7a
30 sg:journal.1115673
31 schema:keywords Clinical Trials Registry
32 Health Organization
33 Housing Survey
34 Information Network Clinical Trials Registry
35 Japan
36 Kingdom
37 Medical Information Network Clinical Trials Registry
38 Network Clinical Trials Registry
39 Smart Wellness Housing survey
40 Trials Registry
41 United Kingdom
42 University Hospital Medical Information Network Clinical Trials Registry
43 Wellness Housing survey
44 World Health Organization
45 abnormalities
46 accordance
47 addition
48 adjustment
49 adverse effects
50 analysis
51 appropriate range
52 appropriate use
53 association
54 average temperature
55 bedroom
56 better cardiovascular health
57 biomarkers
58 blood pressure
59 capital medical devices
60 cardiovascular biomarkers
61 cardiovascular disease
62 cardiovascular health
63 checkup
64 cold homes
65 cold house
66 combination
67 confounders
68 cross-sectional analysis
69 data
70 demographics
71 devices
72 disease
73 effect
74 electrocardiogram
75 electrocardiogram abnormalities
76 electrocardiogram data
77 electrocardiogram findings
78 electrocardiography system
79 environment
80 evidence
81 excess winter mortality
82 findings
83 guidelines
84 health
85 health checkups
86 heating device
87 home
88 home increase blood pressure
89 hospital Medical Information Network Clinical Trials Registry
90 house
91 increases blood pressure
92 indoor temperature
93 indoor thermal environment
94 insulated houses
95 later lists
96 lifestyle
97 list
98 living room
99 logistic regression models
100 low indoor temperatures
101 management
102 medical devices
103 model
104 mortality
105 multivariate logistic regression model
106 nationwide Smart Wellness Housing survey
107 odds ratio
108 organization
109 participants
110 pressure
111 priority medical devices
112 range
113 ratio
114 region
115 registry
116 regression models
117 residents
118 room
119 survey
120 system
121 temperature
122 thermal environment
123 thermal insulated houses
124 trials
125 use
126 warm house
127 weeks
128 winter
129 winter mortality
130 schema:name Electrocardiogram abnormalities in residents in cold homes: a cross-sectional analysis of the nationwide Smart Wellness Housing survey in Japan
131 schema:pagination 104
132 schema:productId N1f50e6bdc04d4679b702d018db298d7d
133 N2c8af1ae4eaa4932be1bfd4a604735af
134 Ne15b02cfd5a7454ea4a4a47ad3b02fc7
135 schema:sameAs https://app.dimensions.ai/details/publication/pub.1141825952
136 https://doi.org/10.1186/s12199-021-01024-1
137 schema:sdDatePublished 2022-01-01T19:02
138 schema:sdLicense https://scigraph.springernature.com/explorer/license/
139 schema:sdPublisher Ndab3f233ebdc44b2a333bb982fa47145
140 schema:url https://doi.org/10.1186/s12199-021-01024-1
141 sgo:license sg:explorer/license/
142 sgo:sdDataset articles
143 rdf:type schema:ScholarlyArticle
144 N08add5bdf1044c00afcfacb5f0224afe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Humans
146 rdf:type schema:DefinedTerm
147 N0b90e8f1a61a481bb1406fa520869b73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Cold Temperature
149 rdf:type schema:DefinedTerm
150 N1f50e6bdc04d4679b702d018db298d7d schema:name pubmed_id
151 schema:value 34641787
152 rdf:type schema:PropertyValue
153 N299cb831792e4e48a06542d13f2b5aed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Japan
155 rdf:type schema:DefinedTerm
156 N2c8af1ae4eaa4932be1bfd4a604735af schema:name dimensions_id
157 schema:value pub.1141825952
158 rdf:type schema:PropertyValue
159 N3a06df9d40dc45e495e56c8a4305300a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Cross-Sectional Studies
161 rdf:type schema:DefinedTerm
162 N3d9a35287b924dfab530f598b3eacce8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Cardiovascular Diseases
164 rdf:type schema:DefinedTerm
165 N47ecdddfd8c9475bb53c89f913ecdb5e rdf:first sg:person.015333170444.07
166 rdf:rest N8af5a79dc65941a9b6e58cdd023127b1
167 N483c35445bc547e2b44e704a55d8c6ee schema:volumeNumber 26
168 rdf:type schema:PublicationVolume
169 N4d4c087a297849a28b73b74eea7161d1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Electrocardiography
171 rdf:type schema:DefinedTerm
172 N51c002a1f41049f39693cc5047725a64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Aged
174 rdf:type schema:DefinedTerm
175 N58299fc3ea444ca8a10bd84b96e9b9b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Middle Aged
177 rdf:type schema:DefinedTerm
178 N5b21e1d94b2a4e06a621bbbac6e10480 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Housing
180 rdf:type schema:DefinedTerm
181 N63d7b87ac6cd4446a911e1cf191d698e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Male
183 rdf:type schema:DefinedTerm
184 N67c6169a93d647238da643a8cf5c8d68 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
185 schema:name Female
186 rdf:type schema:DefinedTerm
187 N6fdaf6f326c24356a51b19e712b3ab7a schema:issueNumber 1
188 rdf:type schema:PublicationIssue
189 N7855c14fc6ef4f36afb57cdd8c68dc42 rdf:first sg:person.01012705632.92
190 rdf:rest Ncf0a3a733e2a46d89c80cbe7332cfbd8
191 N831313ddc26044bfbfc0764339870bff rdf:first sg:person.014675567761.22
192 rdf:rest Nb60e305b5981468abb72a9843272fd46
193 N8af5a79dc65941a9b6e58cdd023127b1 rdf:first sg:person.015656324731.49
194 rdf:rest N7855c14fc6ef4f36afb57cdd8c68dc42
195 Nb1bf68e68b504671a0d36d9e936b9130 rdf:first sg:person.012661330761.74
196 rdf:rest Nfc8b999750304824b73317645bd527aa
197 Nb5deae3458874b41b6ba2d1fa05aec6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Temperature
199 rdf:type schema:DefinedTerm
200 Nb60e305b5981468abb72a9843272fd46 rdf:first Nbfca213ffaba40a28cbf4a3e6b339135
201 rdf:rest rdf:nil
202 Ncf0a3a733e2a46d89c80cbe7332cfbd8 rdf:first sg:person.014030037211.16
203 rdf:rest N831313ddc26044bfbfc0764339870bff
204 Nd669b33d758442c483c72415f544166a rdf:first sg:person.01154131602.26
205 rdf:rest Nf95137f651264d049be02aad4499d6fd
206 Ndab3f233ebdc44b2a333bb982fa47145 schema:name Springer Nature - SN SciGraph project
207 rdf:type schema:Organization
208 Ne15b02cfd5a7454ea4a4a47ad3b02fc7 schema:name doi
209 schema:value 10.1186/s12199-021-01024-1
210 rdf:type schema:PropertyValue
211 Nf34103ed637b4520b3f143998c960406 rdf:first sg:person.01342040104.43
212 rdf:rest N47ecdddfd8c9475bb53c89f913ecdb5e
213 Nf95137f651264d049be02aad4499d6fd rdf:first sg:person.01171406332.78
214 rdf:rest Nf34103ed637b4520b3f143998c960406
215 Nfc8b999750304824b73317645bd527aa rdf:first sg:person.013472450113.15
216 rdf:rest Nd669b33d758442c483c72415f544166a
217 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
218 schema:name Medical and Health Sciences
219 rdf:type schema:DefinedTerm
220 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
221 schema:name Public Health and Health Services
222 rdf:type schema:DefinedTerm
223 sg:grant.6910120 http://pending.schema.org/fundedItem sg:pub.10.1186/s12199-021-01024-1
224 rdf:type schema:MonetaryGrant
225 sg:journal.1115673 schema:issn 1342-078X
226 1347-4715
227 schema:name Environmental Health and Preventive Medicine
228 schema:publisher Springer Nature
229 rdf:type schema:Periodical
230 sg:person.01012705632.92 schema:affiliation grid-institutes:grid.271052.3
231 schema:familyName Yoshimura
232 schema:givenName Takesumi
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012705632.92
234 rdf:type schema:Person
235 sg:person.01154131602.26 schema:affiliation grid-institutes:grid.410804.9
236 schema:familyName Kario
237 schema:givenName Kazuomi
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154131602.26
239 rdf:type schema:Person
240 sg:person.01171406332.78 schema:affiliation grid-institutes:grid.271052.3
241 schema:familyName Fujino
242 schema:givenName Yoshihisa
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01171406332.78
244 rdf:type schema:Person
245 sg:person.012661330761.74 schema:affiliation grid-institutes:grid.26091.3c
246 schema:familyName Umishio
247 schema:givenName Wataru
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012661330761.74
249 rdf:type schema:Person
250 sg:person.01342040104.43 schema:affiliation grid-institutes:grid.265070.6
251 schema:familyName Suzuki
252 schema:givenName Masaru
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342040104.43
254 rdf:type schema:Person
255 sg:person.013472450113.15 schema:affiliation grid-institutes:grid.26091.3c
256 schema:familyName Ikaga
257 schema:givenName Toshiharu
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013472450113.15
259 rdf:type schema:Person
260 sg:person.014030037211.16 schema:affiliation grid-institutes:grid.69566.3a
261 schema:familyName Yoshino
262 schema:givenName Hiroshi
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014030037211.16
264 rdf:type schema:Person
265 sg:person.014675567761.22 schema:affiliation grid-institutes:None
266 schema:familyName Murakami
267 schema:givenName Shuzo
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014675567761.22
269 rdf:type schema:Person
270 sg:person.015333170444.07 schema:affiliation grid-institutes:grid.412586.c
271 schema:familyName Ando
272 schema:givenName Shintaro
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015333170444.07
274 rdf:type schema:Person
275 sg:person.015656324731.49 schema:affiliation grid-institutes:grid.265074.2
276 schema:familyName Hoshi
277 schema:givenName Tanji
278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015656324731.49
279 rdf:type schema:Person
280 sg:pub.10.1007/bf00281300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010859378
281 https://doi.org/10.1007/bf00281300
282 rdf:type schema:CreativeWork
283 sg:pub.10.1007/s11356-016-6235-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1050795621
284 https://doi.org/10.1007/s11356-016-6235-y
285 rdf:type schema:CreativeWork
286 sg:pub.10.1038/hr.2016.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049404569
287 https://doi.org/10.1038/hr.2016.79
288 rdf:type schema:CreativeWork
289 sg:pub.10.1186/1471-2458-7-263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012183274
290 https://doi.org/10.1186/1471-2458-7-263
291 rdf:type schema:CreativeWork
292 sg:pub.10.1186/s12199-021-00992-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1139356484
293 https://doi.org/10.1186/s12199-021-00992-8
294 rdf:type schema:CreativeWork
295 sg:pub.10.1186/s12944-020-01237-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127880895
296 https://doi.org/10.1186/s12944-020-01237-3
297 rdf:type schema:CreativeWork
298 grid-institutes:None schema:alternateName Institute for Building Environment and Energy Conservation, Kojimachi, Chiyoda-ku, Tokyo, Japan
299 schema:name Institute for Building Environment and Energy Conservation, Kojimachi, Chiyoda-ku, Tokyo, Japan
300 rdf:type schema:Organization
301 grid-institutes:grid.26091.3c schema:alternateName Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan
302 schema:name Department of Architecture and Building Engineering, School of Environment and Society, Tokyo Institute of Technology, W8-11, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8552 Japan
303 Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama, Kanagawa Japan
304 rdf:type schema:Organization
305 grid-institutes:grid.265070.6 schema:alternateName Department of Emergency Medicine, Ichikawa General Hospital, Tokyo Dental College, Ichikawa, Chiba Japan
306 schema:name Department of Emergency Medicine, Ichikawa General Hospital, Tokyo Dental College, Ichikawa, Chiba Japan
307 rdf:type schema:Organization
308 grid-institutes:grid.265074.2 schema:alternateName Tokyo Metropolitan University, Hachioji, Tokyo, Japan
309 schema:name Tokyo Metropolitan University, Hachioji, Tokyo, Japan
310 rdf:type schema:Organization
311 grid-institutes:grid.271052.3 schema:alternateName Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan
312 University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan
313 schema:name Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan
314 University of Occupational and Environmental Health, Kitakyushu, Fukuoka Japan
315 rdf:type schema:Organization
316 grid-institutes:grid.410804.9 schema:alternateName Department of Cardiology, Jichi Medical University School of Medicine, Shimotsuke, Tochigi Japan
317 schema:name Department of Cardiology, Jichi Medical University School of Medicine, Shimotsuke, Tochigi Japan
318 rdf:type schema:Organization
319 grid-institutes:grid.412586.c schema:alternateName Department of Architecture, Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu, Fukuoka Japan
320 schema:name Department of Architecture, Faculty of Environmental Engineering, University of Kitakyushu, Kitakyushu, Fukuoka Japan
321 rdf:type schema:Organization
322 grid-institutes:grid.69566.3a schema:alternateName Tohoku University, Sendai, Miyagi Japan
323 schema:name Tohoku University, Sendai, Miyagi Japan
324 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...