Evidence map›Paper›PMID 25153127›Full record

ArticlePloS one2014

Measuring social networks for medical research in lower-income settings.

Laura Kelly, Shivani A Patel, K M Venkat Narayan, Dorairaj Prabhakaran, Solveig A Cunningham

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Is having an educationally diverse social network good for health?Network science (Cambridge University Press) · 2020
    Article
  4. Article
  5. Egocentric social network correlates of physical activity.Journal of sport and health science · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. The Analysis of Duocentric Social Networks: A Primer.Journal of marriage and the family · 2015
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Laura KellyGraduate Group in Demography, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Shivani A PatelHubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America.
K M Venkat NarayanHubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America.
Dorairaj PrabhakaranCenter for Chronic Disease Control, New Delhi, India; Chronic Disease Epidemiology, Public Health Foundation of India, New Delhi, India.
Solveig A CunninghamHubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America.
Emory University · USPublic Health Foundation of India · INUniversity of Pennsylvania · US

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
Fostering Global Health Opportunitties at Emory and its PartnersR25TW007733 · FIC · EMORY UNIVERSITY · PI MARTORELL, REYNALDO · 2006 to 2009
$476k
Friendships and Risk of Over-weight among Diverse-origin AdolescentsR21DK081878 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI ARGESEANU CUNNINGHAM, SOLVEIG, VAQUERA, ELIZABETH · 2009 to 2010
$353k
FIC NIH HHS R25 TW007733FIC NIH HHS R25TW007733NHLBI NIH HHS HHSN268200900026CNICHD NIH HHS T32 HD007242NIDDK NIH HHS R21 DK081878NIDDK NIH HHS R21DK081878
6 · The paper itself

Abstract

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.

Indexed as

Biomedical ResearchPovertySocial NetworkingFamily CharacteristicsHumansIndiaSocial Problems

Identifiers

PMID25153127
PMCPMC4143257
OpenAlexW2056139833

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.