Evidence map›Paper›PMID 41018504›Full record

ArticleDigital health

Supportive communication patterns among informal caregivers of older adults on Reddit: A content analysis.

Nova Mengxia Huang, Bryan Timothy, Shirley S Ho

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Nova Mengxia HuangWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0596-6301
Bryan TimothyWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0009-0002-0497-3398
Shirley S HoWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0003-1079-103X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Informal caregivers of older adults often turn to online communities, such as Reddit, to seek social support but not all support-seeking behaviors yield the desired outcomes. This study investigates how support-seeking strategies employed by informal caregivers of older adults in a selection of posts on Reddit, including directness and emotional expressions, elicit others' textual and non-textual social support. Methods: We collected 761 posts and 3504 comments from three subreddits for informal caregivers of older adults using the Reddit application programming interface. Through quantitative content analysis, we examined support-seeking strategies in posts and types of social support in comments. The Kruskal-Wallis test and binary logistic regressions were used to assess how these strategies predicted textual (i.e., informational, emotional, and esteem support in comments) and non-textual support (i.e., votes). Results: Informal caregivers of older adults predominantly used direct support-seeking strategies and frequently expressed negative emotions, such as fear, anger, and sadness, in their Reddit posts. Direct support-seeking was more likely to elicit informational support but less likely to elicit non-textual and emotional and esteem support in comments compared to indirect support requests. Emotional expressions attracted more non-textual support compared to neutral posts, but different types of emotional expressions did not vary in their effectiveness in eliciting non-textual support. Expressing fear was effective in eliciting both informational and emotional support, while expressing hope and bittersweet were more likely to elicit emotional and esteem support in comments. Conclusions: Informal caregivers' emotional expressions serve as effective support-seeking strategies in Reddit caregiver communities, eliciting both textual and non-textual forms of support. Future studies should explore the mechanisms through which specific emotions influence the reception of social support. Additionally, more research is needed on informal caregivers' supportive communication across different platforms and caregiving contexts to gain a deeper understanding of their support needs.

Indexed as

Informal caregiversonline communitiessocial sharing of emotionssocial supportsupportive communication

Identifiers

PMID41018504
PMCPMC12464437

What OpenQuestion holds

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LicenceCC BY-NC
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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.