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ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2021

Moving beyond family: unequal burden across mental health patients' social networks.

Lambert Zixin Li, Jason Yucheng Bian, Senhu Wang

Abstract read
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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Lambert Zixin LiStanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7319-2240
Jason Yucheng BianUniversity of California At Berkeley, Berkeley, CA, USA.
Senhu WangDepartment of Sociology, National University of Singapore, AS1#03-22, 11 Arts Link, Singapore, 117573, Singapore. socsw@nus.edu.sg.ORCID http://orcid.org/0000-0002-0065-7059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough the family burden of mental health problems on patients' close relatives was widely acknowledged, little was known about how mental health problems affected the quality of life of other types of social relationships of patients, through what mechanisms, and under what conditions. The study aims to explore the burden on all types of relationships of mental health patients and explain why and when the burden is unequal across different relationships.

methodsThe association between different types of relationships and the levels of burden was examined with dyadic data of 1178 patient-acquaintance relationships in the United States and random effects multilevel models. Frequency of contacts was tested as a mediator. The severity of mental health problems was tested as a moderator.

resultsAll types of relationships of patients borne a significant burden. Close relatives including parents, spouses, children, and siblings suffered a greater burden than distant relatives and non-relatives. The unequal burden was partly explained by the frequency of contacts with patients. The burden of close relatives significantly increased when patients' mental health problems were more severe.

conclusionMental health patients put a burden on their frequent contacts outside core families, especially when their problems were more severe. Public health policies should attend to the quality of life of mental health patients' all types of acquaintances in the wider society.

Indexed as

Social NetworkingAdolescentAdultAgedAged, 80 and overFamilyFemaleHumansMaleMental HealthMiddle AgedQuality of LifeYoung AdultCaregiverFamily burdenSocial networksStress processUnited states

Identifiers

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Registered trials

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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.