Cargando…

Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –

BACKGROUND: Most infections are spread through social networks (detrimental effect). However, social networks may also lower infection acquisition (beneficial effect). This study aimed to examine associations between social network parameters and prevalence of self-reported upper and lower respirato...

Descripción completa

Detalles Bibliográficos
Autores principales: Brinkhues, Stephanie, Schram, Miranda T., Hoebe, Christian J. P. A., Kretzschmar, Mirjam E. E., Koster, Annemarie, Dagnelie, Pieter C., Sep, Simone J. S., van Kuijk, Sander M. J., Savelkoul, Paul H. M., Dukers-Muijrers, Nicole H. T. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030801/
https://www.ncbi.nlm.nih.gov/pubmed/29973154
http://dx.doi.org/10.1186/s12879-018-3197-3
_version_ 1783337197386072064
author Brinkhues, Stephanie
Schram, Miranda T.
Hoebe, Christian J. P. A.
Kretzschmar, Mirjam E. E.
Koster, Annemarie
Dagnelie, Pieter C.
Sep, Simone J. S.
van Kuijk, Sander M. J.
Savelkoul, Paul H. M.
Dukers-Muijrers, Nicole H. T. M.
author_facet Brinkhues, Stephanie
Schram, Miranda T.
Hoebe, Christian J. P. A.
Kretzschmar, Mirjam E. E.
Koster, Annemarie
Dagnelie, Pieter C.
Sep, Simone J. S.
van Kuijk, Sander M. J.
Savelkoul, Paul H. M.
Dukers-Muijrers, Nicole H. T. M.
author_sort Brinkhues, Stephanie
collection PubMed
description BACKGROUND: Most infections are spread through social networks (detrimental effect). However, social networks may also lower infection acquisition (beneficial effect). This study aimed to examine associations between social network parameters and prevalence of self-reported upper and lower respiratory, gastrointestinal and urinary tract infections in a population aged 40–75. METHODS: In this population-based cross-sectional cohort study (N = 3004, mean age 60.0 ± 8.2 years, 49% women), infections within the past two months were assessed by self-administered questionnaires. Social network parameters were assessed using a name generator questionnaire. To examine the associated beneficial and detrimental network parameters, univariable and multivariable logistic regression was used. RESULTS: Participants reported an average of 10 people (alters) with whom they had 231 contacts per half year. Prevalences were 31.1% for upper respiratory, 11.5% for lower respiratory, 12.5% for gastrointestinal, and 5.7% for urinary tract infections. Larger network size, and a higher percentage of alters that were friends or acquaintances were associated with higher odds of upper respiratory, lower respiratory and/or gastrointestinal infections (detrimental). A higher total number of contacts, higher percentages of alters of the same age, and higher percentages of family members/acquaintances were associated with lower odds of upper respiratory, lower respiratory and/or gastrointestinal infections (beneficial). CONCLUSION: We identified both detrimental and beneficial associations of social network parameters with the prevalence of infections. Our findings can be used to complement mathematical models on infection spread, as well as to optimize current infectious disease control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3197-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6030801
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60308012018-07-09 Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study – Brinkhues, Stephanie Schram, Miranda T. Hoebe, Christian J. P. A. Kretzschmar, Mirjam E. E. Koster, Annemarie Dagnelie, Pieter C. Sep, Simone J. S. van Kuijk, Sander M. J. Savelkoul, Paul H. M. Dukers-Muijrers, Nicole H. T. M. BMC Infect Dis Research Article BACKGROUND: Most infections are spread through social networks (detrimental effect). However, social networks may also lower infection acquisition (beneficial effect). This study aimed to examine associations between social network parameters and prevalence of self-reported upper and lower respiratory, gastrointestinal and urinary tract infections in a population aged 40–75. METHODS: In this population-based cross-sectional cohort study (N = 3004, mean age 60.0 ± 8.2 years, 49% women), infections within the past two months were assessed by self-administered questionnaires. Social network parameters were assessed using a name generator questionnaire. To examine the associated beneficial and detrimental network parameters, univariable and multivariable logistic regression was used. RESULTS: Participants reported an average of 10 people (alters) with whom they had 231 contacts per half year. Prevalences were 31.1% for upper respiratory, 11.5% for lower respiratory, 12.5% for gastrointestinal, and 5.7% for urinary tract infections. Larger network size, and a higher percentage of alters that were friends or acquaintances were associated with higher odds of upper respiratory, lower respiratory and/or gastrointestinal infections (detrimental). A higher total number of contacts, higher percentages of alters of the same age, and higher percentages of family members/acquaintances were associated with lower odds of upper respiratory, lower respiratory and/or gastrointestinal infections (beneficial). CONCLUSION: We identified both detrimental and beneficial associations of social network parameters with the prevalence of infections. Our findings can be used to complement mathematical models on infection spread, as well as to optimize current infectious disease control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3197-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-07-04 /pmc/articles/PMC6030801/ /pubmed/29973154 http://dx.doi.org/10.1186/s12879-018-3197-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Brinkhues, Stephanie
Schram, Miranda T.
Hoebe, Christian J. P. A.
Kretzschmar, Mirjam E. E.
Koster, Annemarie
Dagnelie, Pieter C.
Sep, Simone J. S.
van Kuijk, Sander M. J.
Savelkoul, Paul H. M.
Dukers-Muijrers, Nicole H. T. M.
Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title_full Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title_fullStr Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title_full_unstemmed Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title_short Social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the Maastricht study –
title_sort social networks in relation to self-reported symptomatic infections in individuals aged 40–75 - the maastricht study –
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030801/
https://www.ncbi.nlm.nih.gov/pubmed/29973154
http://dx.doi.org/10.1186/s12879-018-3197-3
work_keys_str_mv AT brinkhuesstephanie socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT schrammirandat socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT hoebechristianjpa socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT kretzschmarmirjamee socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT kosterannemarie socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT dagneliepieterc socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT sepsimonejs socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT vankuijksandermj socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT savelkoulpaulhm socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy
AT dukersmuijrersnicolehtm socialnetworksinrelationtoselfreportedsymptomaticinfectionsinindividualsaged4075themaastrichtstudy