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

Stephanie Brinkhues, Miranda T. Schram, Christian J. P. A. Hoebe, Mirjam E. E. Kretzschmar, Annemarie Koster, Pieter C. Dagnelie, Simone J. S. Sep, Sander M. J. van Kuijk, Paul H. M. Savelkoul, Nicole H. T. M. Dukers-Muijrers

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.
Original languageEnglish
Article number300
JournalBMC Infectious Diseases
Volume18
Issue number1
DOIs
Publication statusPublished - 2018

Cite this

Brinkhues, S., Schram, M. T., Hoebe, C. J. P. A., Kretzschmar, M. E. E., Koster, A., Dagnelie, P. C., ... Dukers-Muijrers, N. H. T. M. (2018). Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study -. BMC Infectious Diseases, 18(1), [300]. https://doi.org/10.1186/s12879-018-3197-3
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 -. In: BMC Infectious Diseases. 2018 ; Vol. 18, No. 1.
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title = "Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study -",
abstract = "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.",
author = "Stephanie Brinkhues and Schram, {Miranda T.} and Hoebe, {Christian J. P. A.} and Kretzschmar, {Mirjam E. E.} and Annemarie Koster and Dagnelie, {Pieter C.} and Sep, {Simone J. S.} and {van Kuijk}, {Sander M. J.} and Savelkoul, {Paul H. M.} and Dukers-Muijrers, {Nicole H. T. M.}",
year = "2018",
doi = "10.1186/s12879-018-3197-3",
language = "English",
volume = "18",
journal = "BMC Infectious Diseases",
issn = "1471-2334",
publisher = "BioMed Central",
number = "1",

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Brinkhues, S, Schram, MT, Hoebe, CJPA, Kretzschmar, MEE, Koster, A, Dagnelie, PC, Sep, SJS, van Kuijk, SMJ, Savelkoul, PHM & Dukers-Muijrers, NHTM 2018, 'Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study -' BMC Infectious Diseases, vol. 18, no. 1, 300. https://doi.org/10.1186/s12879-018-3197-3

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.

In: BMC Infectious Diseases, Vol. 18, No. 1, 300, 2018.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study -

AU - Brinkhues, Stephanie

AU - Schram, Miranda T.

AU - Hoebe, Christian J. P. A.

AU - Kretzschmar, Mirjam E. E.

AU - Koster, Annemarie

AU - Dagnelie, Pieter C.

AU - Sep, Simone J. S.

AU - van Kuijk, Sander M. J.

AU - Savelkoul, Paul H. M.

AU - Dukers-Muijrers, Nicole H. T. M.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

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UR - https://www.ncbi.nlm.nih.gov/pubmed/29973154

U2 - 10.1186/s12879-018-3197-3

DO - 10.1186/s12879-018-3197-3

M3 - Article

VL - 18

JO - BMC Infectious Diseases

JF - BMC Infectious Diseases

SN - 1471-2334

IS - 1

M1 - 300

ER -