Evidence map›Paper›PMID 37847860›Full record

ArticleInternational journal of qualitative studies on health and well-being2023

Coping with depression: a narrative study of an online depression community in China.

Xin Li, Kaibin Xu

Open access · goldAbstract read
In one paragraph

Article in International journal of qualitative studies on health and well-being, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

2 authors at 2 institutions in 1 country.

Xin LiCollege of Communication Science and Art, Chengdu University of Technology, Chengdu, China.
Kaibin XuForeign Studies College, Hunan Normal University, Changsha, China.ORCID 0000-0003-2687-4796
Chengdu University of Technology · CNHunan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to explore the coping strategies of depression sufferers that have worked for them based on the study of an online depression community.

methodsWe conducted a thematic narrative analysis of 120 stories posted by the members in the largest online depression community in China. MaxQDA version 18 was used to code the data, and the analytic approach was consistent with the category-centred approach of grounded theory.

resultsThe study found that the coping strategies mainly include self-reconciliation (e.g., perceiving/accepting feelings, accepting the present self, and holding hope for the future), actions (recreational activities, physical exercise, and engaging in volunteer work), addressing the stressors and symptoms (e.g., staying away from stressors, seeing the doctor), and seeking interpersonal support (e.g., seeking support from family, friends, and peers).

conclusionThe findings revealed the coping strategies that were helpful and examined how they functioned for the affected members, which make up for the lack of attention to the individual experiences of depression sufferers in coping research. The findings also have practical implications for the related education and consultation, providing useful insights for doctors and patients. These ways of coping are based on depression sufferer' anonymous narratives, which can be convincing to clients.

Indexed as

Adaptation, PsychologicalDepressionChinaEmotionsHumansSocial SupportactioncopingDepressiononline communityseeking supportself-reconciliationstressors

Identifiers

PMID37847860
PMCPMC10583619
OpenAlexW4387700279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.