Evidence map›Paper›PMID 29100500›Full record

ArticleBMC public health2017

Associations between the structural and functional aspects of social relations and poor mental health: a cross-sectional register study.

Lise Røntved Hansen, Stinna Bibi Pedersen, Charlotte Overgaard, Christian Torp-Pedersen, Line Rosenkilde Ullits

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

5 authors at 1 institution in 1 country.

Lise Røntved HansenPublic Health and Epidemiology Group, Department of Health and Science and Technology, Aalborg University, Niels Jernes vej 12, -9220, Aalborg, DK, Denmark. tillise1986@gmail.com.
Stinna Bibi PedersenPublic Health and Epidemiology Group, Department of Health and Science and Technology, Aalborg University, Niels Jernes vej 12, -9220, Aalborg, DK, Denmark.
Charlotte OvergaardPublic Health and Epidemiology Group, Department of Health and Science and Technology, Aalborg University, Niels Jernes vej 12, -9220, Aalborg, DK, Denmark.
Christian Torp-PedersenPublic Health and Epidemiology Group, Department of Health and Science and Technology, Aalborg University, Niels Jernes vej 12, -9220, Aalborg, DK, Denmark.
Line Rosenkilde UllitsPublic Health and Epidemiology Group, Department of Health and Science and Technology, Aalborg University, Niels Jernes vej 12, -9220, Aalborg, DK, Denmark.
Aalborg University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial relations influence mental health through different pathways. To capture the complexity of social relations, it is beneficial to consider both the structural (e.g., reachability of social network and social integration) and functional (e.g., instrumental and emotional support) aspects of the concept. Both aspects are rarely investigated simultaneously. This study aimed to examine the association between the structural and functional aspects of social relations and poor mental health.

methodsThe study was designed as a cross-sectional register study. We used data on mental health and social relations from 15,839 individuals aged 16-92 years with a mean age of 49.0 years (SD 17.9) who responded to The North Denmark Region Health Survey 2013 among residents in Northern Jutland, Denmark. The 12-Item Short-Form Health Survey measured mental health; a cut-off point of 44.5 was used to dichotomize participants into poor and good mental health. The categorization of social relations was inspired by Berkman et al.'s conceptual model of social relations and health. The analyses were performed with survey logistic regression.

resultsWe found that 21.6% (n = 3422) of participants reported poor mental health, and 59% (n = 2020) of these were women. Being in contact with family and friends less than once a month statistically significantly increased the risk for poor mental health (Family OR = 1.78, 95% CI = 1.51-2.10 and Friends OR = 2.65, 95% CI = 2.30-3.06). The individuals who were not in contact with their network as often as they liked had a significantly higher risk for poor mental health (OR = 2.40, 95% CI = 2.20-2.62). Lack of instrumental support was associated with a higher risk for poor mental health (OR = 2.81, 95% CI = 2.26-3.48). We found an interaction between age and emotional support; the youngest population had the highest risk for poor mental health when they did not have access to emotional support (Young OR = 5.26, 95% CI = 3.91-7.09; Adult OR = 3.69, 95% CI = 3.17-4.30; and Elderly OR = 2.73, 95% CI = 2.23-3.34).

conclusionsBoth structural and functional aspects of social relations were associated with poor mental health in our study. Rarely being in contact with friends and a lack of network reachability were associated with poor mental health. Likewise, low levels of emotional and instrumental support were associated with poor mental health.

Indexed as

Interpersonal RelationsSocial SupportAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesDenmarkFamilyFemaleFriendsHealth SurveysHumansLogistic ModelsMaleMental DisordersFunctionalMental healthSocial networkSocial relationsStructural

Identifiers

PMID29100500
PMCPMC5670730
OpenAlexW2766646526

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.