Evidence map›Paper›PMID 38859823›Full record

ArticleInnovation in aging2024

Examining the Social Networks Types and Their Effects on Caregiving Experience of Family Caregivers for Individuals With Dementia: A Mixed-Methods Study.

Jun Wang, Weichu Liu, Xuelian Li, Yingzhuo Ma, Qinghua Zhao, Yang Lü, Mingzhao Xiao

Abstract read
In one paragraph

Article in Innovation in aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines 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

7 authors.

Jun WangDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weichu LiuDepartment of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xuelian LiDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yingzhuo MaDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qinghua ZhaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yang LüDepartment of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Mingzhao XiaoDepartment of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Social networks are crucial to personal health, particularly among caregivers of individuals with dementia; however, different types of social networks among caregivers of those with dementia and how these differences are associated with caregiver burden and positive appraisal, remain underexamined. This study aims to depict dementia caregivers' social network types, related factors, and impact on caregiving experiences. Research Design and Methods: A questionnaire-based survey was conducted with a total of 237 family caregivers of individuals with dementia nested additional semistructured interviews conducted with 14 caregivers in Chongqing, China. A quantitative study was designed to collect data on personal and situational information, social networks, caregiver burden, and positive aspects of caregiving. Qualitative data were collected via semistructured interviews. Latent class analysis and multivariate regression analyses were applied to quantitative data, and inductive content analysis to qualitative data. Results: The 3 social network types-family-limited ( Discussion and Implication: Family caregivers of individuals with dementia have different social network types that vary considerably among sociocultural contexts and perceive various types of support from social networks. Solid family networks and diverse social networks are contributors to long-term dementia care.

Indexed as

Alzheimer’s diseaseCaregiversNursingSocial networkSocial support

Identifiers

PMID38859823
PMCPMC11163924

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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.