Evidence map›Paper›PMID 24710599›Full record

ArticlePloS one2014

Identification of direct and indirect social network effects in the pathophysiology of insulin resistance in obese human subjects.

Christian H C A Henning, Nana Zarnekow, Johannes Hedtrich, Sascha Stark, Kathrin Türk, Matthias Laudes

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Weight and weight control behaviors of Latinas and their social ties.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2018
    Article
  6. 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

6 authors.

Christian H C A HenningInstitute of Agricultural Economics, University of Kiel, Kiel, Germany.
Nana ZarnekowInstitute of Agricultural Economics, University of Kiel, Kiel, Germany.
Johannes HedtrichInstitute of Agricultural Economics, University of Kiel, Kiel, Germany.
Sascha StarkInstitute of Agricultural Economics, University of Kiel, Kiel, Germany.
Kathrin TürkDepartment of Internal Medicine 1, University of Kiel, Kiel, Germany.
Matthias LaudesDepartment of Internal Medicine 1, University of Kiel, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to examine to what extent different social network mechanisms are involved in the pathogenesis of obesity and insulin-resistance.

designWe used nonparametric and parametric regression models to analyse whether individual BMI and HOMA-IR are determined by social network characteristics. SUBJECTS AND

methodsA total of 677 probands (EGO) and 3033 social network partners (ALTER) were included in the study. Data gathered from the probands include anthropometric measures, HOMA-IR index, health attitudes, behavioural and socio-economic variables and social network data.

resultsWe found significant treatment effects for ALTERs frequent dieting (p<0.001) and ALTERs health oriented nutritional attitudes (p<0.001) on EGO's BMI, establishing a significant indirect network effect also on EGO's insulin resistance. Most importantly, we also found significant direct social network effects on EGO's insulin resistance, evidenced by an effect of ALTERs frequent dieting (p = 0.033) and ALTERs sport activities (p = 0.041) to decrease EGO's HOMA-IR index independently of EGO's BMI.

conclusionsSocial network phenomena appear not only to be relevant for the spread of obesity, but also for the spread of insulin resistance as the basis for type 2 diabetes. Attitudes and behaviour of peer groups influence EGO's health status not only via social mechanisms, but also via socio-biological mechanisms, i.e. higher brain areas might be influenced not only by biological signals from the own organism, but also by behaviour and knowledge from different human individuals. Our approach allows the identification of peer group influence controlling for potential homophily even when using cross-sectional observational data.

Indexed as

Peer GroupSocial SupportAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHealth StatusHumansInsulin ResistanceMaleMiddle AgedObesity

Identifiers

PMID24710599
PMCPMC3977927

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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.