Evidence map›Paper›PMID 40438652›Full record

ArticleBelitung nursing journal2025

Factors predicting resilience among caregivers of people with chronic illness: A cross-sectional study of Thai caregivers.

Jeeraporn Kummabutr, Natthapat Buaboon, Siriluck Kaewsriwong

Abstract read
In one paragraph

Article in Belitung nursing journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Jeeraporn KummabutrFaculty of Nursing, Thammasat University, Thailand.ORCID https://orcid.org/0000-0001-9016-4153
Natthapat BuaboonFaculty of Nursing, Thammasat University, Thailand.ORCID https://orcid.org/0000-0003-0208-1417
Siriluck KaewsriwongFaculty of Nursing, Thammasat University, Thailand.ORCID https://orcid.org/0009-0002-4203-8210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Millions of adults in Thailand serve as caregivers, facing significant public health challenges related to caregiver burden and well-being. Resilience is linked to better caregiver outcomes, yet the predictors of resilience are not fully understood. Objective: This study aimed to identify the factors predicting resilience among caregivers of people with chronic illness. Methods: A descriptive, cross-sectional design was used with a sample of 172 caregivers selected through multi-stage random sampling. Data were collected between February 2020 and January 2021 using validated instruments. Data were analyzed using descriptive statistics, bivariate analysis, and multiple regression analysis, with significance set at p <0.05. Results: Caregiver resilience scores were within the normal range (Mean = 61.40, SD = 8.735). In bivariate analysis, 7 out of 10 variables-age, stress, self-efficacy, social support, self-esteem, attitude toward care, and family functioning-were significantly associated with caregiver resilience ( Conclusion: This study identifies key factors that influence caregiver resilience, particularly family support, self-esteem, and attitude toward care, while also highlighting the negative impacts of stress and age on resilience. Nurses play a crucial role in enhancing caregiver resilience by focusing on these factors through family-centered interventions, stress management programs, and psychosocial support. Strengthening these areas can significantly improve the quality of life for both caregivers and patients, leading to more effective caregiving outcomes.

Indexed as

adultcaregiver burdencaregiversprimary health carepsychologicalquality of liferesilienceself-efficacysocial supportThailand

Identifiers

PMID40438652
PMCPMC12107262

What OpenQuestion holds

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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.