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Measuring Social Networks for Medical Research in Lower-Income Settings

Social networks are believed to affect health-related behaviors and health. Data to examine the links between social relationships and health in low- and middle-income country settings are limited. We provide guidance for introducing an instrument to collect social network data as part of epidemiolo...

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Autores principales: Kelly, Laura, Patel, Shivani A., Narayan, K. M. Venkat, Prabhakaran, Dorairaj, Cunningham, Solveig A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143257/
https://www.ncbi.nlm.nih.gov/pubmed/25153127
http://dx.doi.org/10.1371/journal.pone.0105161
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author Kelly, Laura
Patel, Shivani A.
Narayan, K. M. Venkat
Prabhakaran, Dorairaj
Cunningham, Solveig A.
author_facet Kelly, Laura
Patel, Shivani A.
Narayan, K. M. Venkat
Prabhakaran, Dorairaj
Cunningham, Solveig A.
author_sort Kelly, Laura
collection PubMed
description Social networks are believed to affect health-related behaviors and health. Data to examine the links between social relationships and health in low- and middle-income country settings are limited. We provide guidance for introducing an instrument to collect social network data as part of epidemiological surveys, drawing on experience in urban India. We describe development and fielding of an instrument to collect social network information relevant to health behaviors among adults participating in a large, population-based study of non-communicable diseases in Delhi, India. We discuss basic characteristics of social networks relevant to health including network size, health behaviors of network partners (i.e., network exposures), network homogeneity, network diversity, strength of ties, and multiplexity. Data on these characteristics can be collected using a short instrument of 11 items asked about up to 5 network members and 3 items about the network generally, administered in approximately 20 minutes. We found high willingness to respond to questions about social networks (97% response). Respondents identified an average of 3.8 network members, most often relatives (80% of network ties), particularly blood relationships. Ninety-one percent of respondents reported that their primary contacts for discussing health concerns were relatives. Among all listed ties, 91% of most frequent snack partners and 64% of exercise partners in the last two weeks were relatives. These results demonstrate that family relationships are the crux of social networks in some settings, including among adults in urban India. Collecting basic information about social networks can be feasibly and effectively done within ongoing epidemiological studies.
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spelling pubmed-41432572014-08-27 Measuring Social Networks for Medical Research in Lower-Income Settings Kelly, Laura Patel, Shivani A. Narayan, K. M. Venkat Prabhakaran, Dorairaj Cunningham, Solveig A. PLoS One Research Article Social networks are believed to affect health-related behaviors and health. Data to examine the links between social relationships and health in low- and middle-income country settings are limited. We provide guidance for introducing an instrument to collect social network data as part of epidemiological surveys, drawing on experience in urban India. We describe development and fielding of an instrument to collect social network information relevant to health behaviors among adults participating in a large, population-based study of non-communicable diseases in Delhi, India. We discuss basic characteristics of social networks relevant to health including network size, health behaviors of network partners (i.e., network exposures), network homogeneity, network diversity, strength of ties, and multiplexity. Data on these characteristics can be collected using a short instrument of 11 items asked about up to 5 network members and 3 items about the network generally, administered in approximately 20 minutes. We found high willingness to respond to questions about social networks (97% response). Respondents identified an average of 3.8 network members, most often relatives (80% of network ties), particularly blood relationships. Ninety-one percent of respondents reported that their primary contacts for discussing health concerns were relatives. Among all listed ties, 91% of most frequent snack partners and 64% of exercise partners in the last two weeks were relatives. These results demonstrate that family relationships are the crux of social networks in some settings, including among adults in urban India. Collecting basic information about social networks can be feasibly and effectively done within ongoing epidemiological studies. Public Library of Science 2014-08-25 /pmc/articles/PMC4143257/ /pubmed/25153127 http://dx.doi.org/10.1371/journal.pone.0105161 Text en © 2014 Kelly et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kelly, Laura
Patel, Shivani A.
Narayan, K. M. Venkat
Prabhakaran, Dorairaj
Cunningham, Solveig A.
Measuring Social Networks for Medical Research in Lower-Income Settings
title Measuring Social Networks for Medical Research in Lower-Income Settings
title_full Measuring Social Networks for Medical Research in Lower-Income Settings
title_fullStr Measuring Social Networks for Medical Research in Lower-Income Settings
title_full_unstemmed Measuring Social Networks for Medical Research in Lower-Income Settings
title_short Measuring Social Networks for Medical Research in Lower-Income Settings
title_sort measuring social networks for medical research in lower-income settings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143257/
https://www.ncbi.nlm.nih.gov/pubmed/25153127
http://dx.doi.org/10.1371/journal.pone.0105161
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