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Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older
BACKGROUND: Social networks, i.e., our in-person and online social relations, are key to lifestyle behavior and health, via mechanisms of influence and support from our relations. We assessed associations between various social network aspects and practicing behavior to prevent respiratory infectiou...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133464/ https://www.ncbi.nlm.nih.gov/pubmed/34010363 http://dx.doi.org/10.1371/journal.pone.0251862 |
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author | Steijvers, Lisanne C. J. Brinkhues, Stephanie Hoebe, Christian J. P. A. van Tilburg, Theo G. Claessen, Vivian Bouwmeester-Vincken, Noortje Hamers, Femke Vranken, Petra Dukers-Muijrers, Nicole H. T. M. |
author_facet | Steijvers, Lisanne C. J. Brinkhues, Stephanie Hoebe, Christian J. P. A. van Tilburg, Theo G. Claessen, Vivian Bouwmeester-Vincken, Noortje Hamers, Femke Vranken, Petra Dukers-Muijrers, Nicole H. T. M. |
author_sort | Steijvers, Lisanne C. J. |
collection | PubMed |
description | BACKGROUND: Social networks, i.e., our in-person and online social relations, are key to lifestyle behavior and health, via mechanisms of influence and support from our relations. We assessed associations between various social network aspects and practicing behavior to prevent respiratory infectious diseases. METHODS: We analyzed baseline-data (2019) from the SaNAE-cohort on social networks and health, collected by an online questionnaire in Dutch community-dwelling people aged 40–99 years. Outcome was the number of preventive behaviors in past two months [range 0–4]. Associations between network aspects were tested using ordinal regression analyses, adjusting for confounders. RESULTS: Of 5,128 participants (mean age 63; 54% male), 94% regularly washed hands with water and soap, 55% used only paper (not cloth) handkerchiefs/tissues; 19% touched their face as little as possible; 39% kept distance from people with respiratory infectious disease symptoms; median score of behaviors was 2. Mean network size was 11 (46% family; 27% friends); six network members were contacted exclusively in-person and two exclusively via phone/internet. Participants received informational, emotional, and practical support from four, six, and two network members, respectively. Independently associated with more preventive behaviors were: ‘strong relationships’, i.e., large share of friends and aspects related to so called ‘weak relationships’, a larger share of distant living network members, higher number of members with whom there was exclusively phone/internet contact, and more network members providing informational support. Club membership and a larger share of same-aged network members were inversely associated. CONCLUSION: Friends (‘strong’ relationships) may play an important role in the adoption of infection-preventive behaviors. So may ‘weak relationships’, e.g. geographically more distant network members, who may provide informational support as via non-physical modes of contact. Further steps are to explore employment of these types of relationships when designing infectious diseases control programs aiming to promote infection-preventive behavior in middle aged-and older individuals. |
format | Online Article Text |
id | pubmed-8133464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81334642021-05-27 Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older Steijvers, Lisanne C. J. Brinkhues, Stephanie Hoebe, Christian J. P. A. van Tilburg, Theo G. Claessen, Vivian Bouwmeester-Vincken, Noortje Hamers, Femke Vranken, Petra Dukers-Muijrers, Nicole H. T. M. PLoS One Research Article BACKGROUND: Social networks, i.e., our in-person and online social relations, are key to lifestyle behavior and health, via mechanisms of influence and support from our relations. We assessed associations between various social network aspects and practicing behavior to prevent respiratory infectious diseases. METHODS: We analyzed baseline-data (2019) from the SaNAE-cohort on social networks and health, collected by an online questionnaire in Dutch community-dwelling people aged 40–99 years. Outcome was the number of preventive behaviors in past two months [range 0–4]. Associations between network aspects were tested using ordinal regression analyses, adjusting for confounders. RESULTS: Of 5,128 participants (mean age 63; 54% male), 94% regularly washed hands with water and soap, 55% used only paper (not cloth) handkerchiefs/tissues; 19% touched their face as little as possible; 39% kept distance from people with respiratory infectious disease symptoms; median score of behaviors was 2. Mean network size was 11 (46% family; 27% friends); six network members were contacted exclusively in-person and two exclusively via phone/internet. Participants received informational, emotional, and practical support from four, six, and two network members, respectively. Independently associated with more preventive behaviors were: ‘strong relationships’, i.e., large share of friends and aspects related to so called ‘weak relationships’, a larger share of distant living network members, higher number of members with whom there was exclusively phone/internet contact, and more network members providing informational support. Club membership and a larger share of same-aged network members were inversely associated. CONCLUSION: Friends (‘strong’ relationships) may play an important role in the adoption of infection-preventive behaviors. So may ‘weak relationships’, e.g. geographically more distant network members, who may provide informational support as via non-physical modes of contact. Further steps are to explore employment of these types of relationships when designing infectious diseases control programs aiming to promote infection-preventive behavior in middle aged-and older individuals. Public Library of Science 2021-05-19 /pmc/articles/PMC8133464/ /pubmed/34010363 http://dx.doi.org/10.1371/journal.pone.0251862 Text en © 2021 Steijvers et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Steijvers, Lisanne C. J. Brinkhues, Stephanie Hoebe, Christian J. P. A. van Tilburg, Theo G. Claessen, Vivian Bouwmeester-Vincken, Noortje Hamers, Femke Vranken, Petra Dukers-Muijrers, Nicole H. T. M. Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title | Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title_full | Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title_fullStr | Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title_full_unstemmed | Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title_short | Social networks and infectious diseases prevention behavior: A cross-sectional study in people aged 40 years and older |
title_sort | social networks and infectious diseases prevention behavior: a cross-sectional study in people aged 40 years and older |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133464/ https://www.ncbi.nlm.nih.gov/pubmed/34010363 http://dx.doi.org/10.1371/journal.pone.0251862 |
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