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Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study
Social isolation is associated with type 2 diabetes (T2DM), but it is unclear which elements play a crucial role in this association. Therefore, we assessed the associations of a broad range of structural and functional social network characteristics with normal glucose metabolism, pre-diabetes, new...
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Published in: | BMC public health 2017-12, Vol.17 (1), p.955-955, Article 955 |
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creator | Brinkhues, Stephanie Dukers-Muijrers, Nicole H T M Hoebe, Christian J P A van der Kallen, Carla J H Dagnelie, Pieter C Koster, Annemarie Henry, Ronald M A Sep, Simone J S Schaper, Nicolaas C Stehouwer, Coen D A Bosma, Hans Savelkoul, Paul H M Schram, Miranda T |
description | Social isolation is associated with type 2 diabetes (T2DM), but it is unclear which elements play a crucial role in this association. Therefore, we assessed the associations of a broad range of structural and functional social network characteristics with normal glucose metabolism, pre-diabetes, newly diagnosed T2DM and previously diagnosed T2DM.
Participants originated from The Maastricht Study, a population-based cohort study (n = 2861, mean age 60.0 ± 8.2 years, 49% female, 28.8% T2DM (oversampled)). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. We used multinomial regression analyses to investigate the associations between social network characteristics and diabetes status, stratified by sex.
More socially isolated individuals (smaller social network size) more frequently had newly diagnosed and previously diagnosed T2DM, while this association was not observed with pre-diabetes. In women, proximity and the type of relationship was associated with newly diagnosed and previously diagnosed T2DM. A lack of social participation was associated with pre-diabetes as well as with previously diagnosed T2DM in women, and with previously diagnosed T2DM in men. Living alone was associated with higher odds of previously diagnosed T2DM in men, but not in women. Less emotional support related to important decisions, less practical support related to jobs, and less practical support for sickness were associated with newly diagnosed and previously diagnosed T2DM in men and women, but not in pre-diabetes.
This study shows that several aspects of structural and functional characteristics of the social network were associated with newly and previously diagnosed T2DM, partially different for men and women. These results may provide useful targets for T2DM prevention efforts. |
doi_str_mv | 10.1186/s12889-017-4948-6 |
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Participants originated from The Maastricht Study, a population-based cohort study (n = 2861, mean age 60.0 ± 8.2 years, 49% female, 28.8% T2DM (oversampled)). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. We used multinomial regression analyses to investigate the associations between social network characteristics and diabetes status, stratified by sex.
More socially isolated individuals (smaller social network size) more frequently had newly diagnosed and previously diagnosed T2DM, while this association was not observed with pre-diabetes. In women, proximity and the type of relationship was associated with newly diagnosed and previously diagnosed T2DM. A lack of social participation was associated with pre-diabetes as well as with previously diagnosed T2DM in women, and with previously diagnosed T2DM in men. Living alone was associated with higher odds of previously diagnosed T2DM in men, but not in women. Less emotional support related to important decisions, less practical support related to jobs, and less practical support for sickness were associated with newly diagnosed and previously diagnosed T2DM in men and women, but not in pre-diabetes.
This study shows that several aspects of structural and functional characteristics of the social network were associated with newly and previously diagnosed T2DM, partially different for men and women. These results may provide useful targets for T2DM prevention efforts.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-017-4948-6</identifier><identifier>PMID: 29254485</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Body mass index ; Care and treatment ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diagnosis ; Glucose ; Glucose metabolism ; Glucose tolerance ; Glucose tolerance test ; Men ; Physiological aspects ; Population studies ; Pre-diabetes ; Prevention ; Regression analysis ; Social integration ; Social interactions ; Social network ; Social networks ; Social organization ; Social support ; Structure-function relationships ; Studies ; Surveys ; Type 2 diabetes ; Women</subject><ispartof>BMC public health, 2017-12, Vol.17 (1), p.955-955, Article 955</ispartof><rights>COPYRIGHT 2017 BioMed Central Ltd.</rights><rights>2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s). 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c490t-8e554cc78b718916d940f3052322f62f2df0889a5b0d6ceb1bd72254051d80c73</citedby><cites>FETCH-LOGICAL-c490t-8e554cc78b718916d940f3052322f62f2df0889a5b0d6ceb1bd72254051d80c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735891/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2348343048?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29254485$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brinkhues, Stephanie</creatorcontrib><creatorcontrib>Dukers-Muijrers, Nicole H T M</creatorcontrib><creatorcontrib>Hoebe, Christian J P A</creatorcontrib><creatorcontrib>van der Kallen, Carla J H</creatorcontrib><creatorcontrib>Dagnelie, Pieter C</creatorcontrib><creatorcontrib>Koster, Annemarie</creatorcontrib><creatorcontrib>Henry, Ronald M A</creatorcontrib><creatorcontrib>Sep, Simone J S</creatorcontrib><creatorcontrib>Schaper, Nicolaas C</creatorcontrib><creatorcontrib>Stehouwer, Coen D A</creatorcontrib><creatorcontrib>Bosma, Hans</creatorcontrib><creatorcontrib>Savelkoul, Paul H M</creatorcontrib><creatorcontrib>Schram, Miranda T</creatorcontrib><title>Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Social isolation is associated with type 2 diabetes (T2DM), but it is unclear which elements play a crucial role in this association. Therefore, we assessed the associations of a broad range of structural and functional social network characteristics with normal glucose metabolism, pre-diabetes, newly diagnosed T2DM and previously diagnosed T2DM.
Participants originated from The Maastricht Study, a population-based cohort study (n = 2861, mean age 60.0 ± 8.2 years, 49% female, 28.8% T2DM (oversampled)). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. We used multinomial regression analyses to investigate the associations between social network characteristics and diabetes status, stratified by sex.
More socially isolated individuals (smaller social network size) more frequently had newly diagnosed and previously diagnosed T2DM, while this association was not observed with pre-diabetes. In women, proximity and the type of relationship was associated with newly diagnosed and previously diagnosed T2DM. A lack of social participation was associated with pre-diabetes as well as with previously diagnosed T2DM in women, and with previously diagnosed T2DM in men. Living alone was associated with higher odds of previously diagnosed T2DM in men, but not in women. Less emotional support related to important decisions, less practical support related to jobs, and less practical support for sickness were associated with newly diagnosed and previously diagnosed T2DM in men and women, but not in pre-diabetes.
This study shows that several aspects of structural and functional characteristics of the social network were associated with newly and previously diagnosed T2DM, partially different for men and women. These results may provide useful targets for T2DM prevention efforts.</description><subject>Body mass index</subject><subject>Care and treatment</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diagnosis</subject><subject>Glucose</subject><subject>Glucose metabolism</subject><subject>Glucose tolerance</subject><subject>Glucose tolerance test</subject><subject>Men</subject><subject>Physiological aspects</subject><subject>Population studies</subject><subject>Pre-diabetes</subject><subject>Prevention</subject><subject>Regression analysis</subject><subject>Social integration</subject><subject>Social interactions</subject><subject>Social network</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Social support</subject><subject>Structure-function relationships</subject><subject>Studies</subject><subject>Surveys</subject><subject>Type 2 diabetes</subject><subject>Women</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUs9vFCEYnRiNrdU_wIsh8eJlKjAww1xMmsZqkxoP6pnwa3bZzMAKzJq9-pf3G7duusaQAIH3Hnzve1X1muBLQkT7PhMqRF9j0tWsZ6Jun1TnhHWkpoyLp4_2Z9WLnDcYgILT59UZ7SlnTPDz6ve3aLwaxz3yOY6qOIt8sH7n7azGjFRyaIowbVMMDpWI1mrnUHC_gGG9WoWYgaKCBYTbqdGFgsp-6xBdrrUrLqPJjaMvc0Y1KmuHviiVS_JmXVAus92_rJ4N8JZ79bBeVD9uPn6__lzfff10e311VxvW41ILxzkzphO6I6Inre0ZHhrMaUPp0NKB2gGDG4prbFvjNNG2o1Am5sQKbLrmoro96NqoNnKb_KTSXkbl5Z-DmFZSpeLN6KSmzhrKtMFYM4G5tnoQoM8tww1XA2h9OGhtZz0BFspOajwRPb0Jfi1XcSd513D4PQi8exBI8efscpGTzwaMUsHFOUvSd6Jb2sUA-vYf6CbOKYBVkjZMNKzBMB9RK2iC9GGI8K5ZROUVJz0DH7oWUJf_QcGwbvIGWjx4OD8hkAPBpJhzcsOxRoLlEkJ5CKGEbMklhHLhvHlszpHxN3XNPf4h2BU</recordid><startdate>20171219</startdate><enddate>20171219</enddate><creator>Brinkhues, Stephanie</creator><creator>Dukers-Muijrers, Nicole H T M</creator><creator>Hoebe, Christian J P A</creator><creator>van der Kallen, Carla J H</creator><creator>Dagnelie, Pieter C</creator><creator>Koster, Annemarie</creator><creator>Henry, Ronald M A</creator><creator>Sep, Simone J S</creator><creator>Schaper, Nicolaas C</creator><creator>Stehouwer, Coen D A</creator><creator>Bosma, Hans</creator><creator>Savelkoul, Paul H M</creator><creator>Schram, Miranda T</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20171219</creationdate><title>Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study</title><author>Brinkhues, Stephanie ; Dukers-Muijrers, Nicole H T M ; Hoebe, Christian J P A ; van der Kallen, Carla J H ; Dagnelie, Pieter C ; Koster, Annemarie ; Henry, Ronald M A ; Sep, Simone J S ; Schaper, Nicolaas C ; Stehouwer, Coen D A ; Bosma, Hans ; Savelkoul, Paul H M ; Schram, Miranda T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c490t-8e554cc78b718916d940f3052322f62f2df0889a5b0d6ceb1bd72254051d80c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Body mass index</topic><topic>Care and treatment</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diagnosis</topic><topic>Glucose</topic><topic>Glucose metabolism</topic><topic>Glucose tolerance</topic><topic>Glucose tolerance test</topic><topic>Men</topic><topic>Physiological aspects</topic><topic>Population studies</topic><topic>Pre-diabetes</topic><topic>Prevention</topic><topic>Regression analysis</topic><topic>Social integration</topic><topic>Social interactions</topic><topic>Social network</topic><topic>Social networks</topic><topic>Social organization</topic><topic>Social support</topic><topic>Structure-function relationships</topic><topic>Studies</topic><topic>Surveys</topic><topic>Type 2 diabetes</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brinkhues, Stephanie</creatorcontrib><creatorcontrib>Dukers-Muijrers, Nicole H T M</creatorcontrib><creatorcontrib>Hoebe, Christian J P A</creatorcontrib><creatorcontrib>van der Kallen, Carla J H</creatorcontrib><creatorcontrib>Dagnelie, Pieter C</creatorcontrib><creatorcontrib>Koster, Annemarie</creatorcontrib><creatorcontrib>Henry, Ronald M A</creatorcontrib><creatorcontrib>Sep, Simone J S</creatorcontrib><creatorcontrib>Schaper, Nicolaas C</creatorcontrib><creatorcontrib>Stehouwer, Coen D A</creatorcontrib><creatorcontrib>Bosma, Hans</creatorcontrib><creatorcontrib>Savelkoul, Paul H M</creatorcontrib><creatorcontrib>Schram, Miranda T</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest - 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the Maastricht study</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2017-12-19</date><risdate>2017</risdate><volume>17</volume><issue>1</issue><spage>955</spage><epage>955</epage><pages>955-955</pages><artnum>955</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Social isolation is associated with type 2 diabetes (T2DM), but it is unclear which elements play a crucial role in this association. Therefore, we assessed the associations of a broad range of structural and functional social network characteristics with normal glucose metabolism, pre-diabetes, newly diagnosed T2DM and previously diagnosed T2DM.
Participants originated from The Maastricht Study, a population-based cohort study (n = 2861, mean age 60.0 ± 8.2 years, 49% female, 28.8% T2DM (oversampled)). Social network characteristics were assessed through a name generator questionnaire. Diabetes status was determined by an oral glucose tolerance test. We used multinomial regression analyses to investigate the associations between social network characteristics and diabetes status, stratified by sex.
More socially isolated individuals (smaller social network size) more frequently had newly diagnosed and previously diagnosed T2DM, while this association was not observed with pre-diabetes. In women, proximity and the type of relationship was associated with newly diagnosed and previously diagnosed T2DM. A lack of social participation was associated with pre-diabetes as well as with previously diagnosed T2DM in women, and with previously diagnosed T2DM in men. Living alone was associated with higher odds of previously diagnosed T2DM in men, but not in women. Less emotional support related to important decisions, less practical support related to jobs, and less practical support for sickness were associated with newly diagnosed and previously diagnosed T2DM in men and women, but not in pre-diabetes.
This study shows that several aspects of structural and functional characteristics of the social network were associated with newly and previously diagnosed T2DM, partially different for men and women. These results may provide useful targets for T2DM prevention efforts.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>29254485</pmid><doi>10.1186/s12889-017-4948-6</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Body mass index Care and treatment Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diagnosis Glucose Glucose metabolism Glucose tolerance Glucose tolerance test Men Physiological aspects Population studies Pre-diabetes Prevention Regression analysis Social integration Social interactions Social network Social networks Social organization Social support Structure-function relationships Studies Surveys Type 2 diabetes Women |
title | Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study |
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