Evidence map›Paper›PMID 23859739›Full record

ArticleSocial science research2013

New strategies for biosample collection in population-based social research.

Heather H Gatny, Mick P Couper, William G Axinn

Abstract read
In one paragraph

Article in Social science research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Feasibility of Patient-Centric Remote DriedBiodemography and social biology
    Article
  10. Article
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

3 authors.

Heather H GatnyInstitute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA. Electronic address: hgatny@umich.edu.
Mick P Couper
William G Axinn

Funding

Population Studies Center Infrastructure GrantR24HD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SMOCK, PAMELA J. · 2001 to 2016
$13.2M
Young Women's Relationships, Contraception, and Unintended PregnancyR01HD050329 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARBER, JENNIFER S. · 2007 to 2011
$3.3M
Electronic Journal Data Collection Technologies for Interdisciplinary ResearchR21DA024186 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AXINN, WILLIAM G., COUPER, MICK P · 2007 to 2010
$1.2M
NICHD NIH HHS R01 HD050329NICHD NIH HHS R24 HD041028NIDA NIH HHS R21 DA024186
6 · The paper itself

Abstract

This paper aims to increase understanding of the methodological issues involved in adding biomeasures to social research by investigating the potential of an event-triggered, self-collection technique for monitoring biological response to social events. We use data from the Relationship Dynamics and Social Life (RDSL) study, which collected saliva samples triggered by a life event important to the aims of the study - the end of a romantic relationship. Our investigation found little evidence that those who complied in the biosample collection were different from those who did not comply in terms of key study measures and sociodemographic characteristics. We also found no evidence that the biosample collection had adverse consequences for subsequent panel participation. We did find that prior cooperation in the study was an important predictor of biosample cooperation, which is important information in developing biosample collection strategies. As demand for biological samples directly linked to social data continues to grow, effective low-cost collection methods will become increasingly valuable. The evidence here indicates that self-collected biosamples may offer tremendous potential to meet this demand.

Indexed as

BiomeasuresBiosample collectionEvent-triggered collectionSelf-collection

Identifiers

PMID23859739
PMCPMC3717190

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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.