Evidence map›Paper›PMID 26047986›Full record

ArticleAdvances in life course research2015

Inter-generational contact from a network perspective.

Christopher Steven Marcum, Laura M Koehly

Abstract read
In one paragraph

Article in Advances in life course research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Intergenerational exchange of healthful eating encouragement: Consideration of family ancestry and disease history.Families, systems & health : the journal of collaborative family healthcare · 2019
    Article
  4. Article
  5. Family reciprocity of older Singaporeans.European journal of ageing · 2018
    Article
  6. Article
  7. 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

2 authors.

Christopher Steven MarcumNational Institutes of Health, Bethesda, MD 20892, USA. Electronic address: chris.marcum@nih.gov.
Laura M KoehlyNational Institutes of Health, Bethesda, MD 20892, USA.

Funding

The influence of familial social context on risk dissemination and copingZIAHG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2009 to 2025
$13.6M
The influence of familial social context on risk dissemination and copingZ01HG200335 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI KOEHLY, LAURA M · 2006 to 2008
$1.2M
Intramural NIH HHS Z01 HG200335Intramural NIH HHS Z99 HG999999
6 · The paper itself

Abstract

Pathways for resource--or other--exchanges within families have long been known to be dependent on the structure of relations between generations (Agree et al., 2005; Fuller-Thomson et al., 1997; Silverstein, 2011; Treas & Marcum, 2011). Much life course research has theorized models of inter-generational exchange--including, the 'sandwich generation' (Miller, 1981) and the 'skipped generation' pathways (Chalfie, 1994)--but there is little work relating these theories to relevant network mechanisms such as liaison brokerage (Gould & Fernandez, 1989) and other triadic configurations (Davis & Leinhardt, 1972; Wasserman & Faust, 1994). To address this, a survey of models of resource allocation between members of inter-generational households from a network perspective is introduced in this paper. Exemplary data come from health discussion networks among Mexican-origin multi-generational households.

Indexed as

Mexican AmericansSocial SupportFamily CharacteristicsFamily RelationsHealth CommunicationHumansIntergenerational RelationsSocioeconomic FactorsSurveys and QuestionnairesFamily communicationGenerationsNetworks

Identifiers

PMID26047986
PMCPMC4458302

What OpenQuestion holds

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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.