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...
Autores principales: | , , , , , , , , , |
---|---|
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 |