Evidence map›Paper›PMID 38982345›Full record

ArticleBMC geriatrics2024

Applying Kumpfer's resilience framework to understand the social adaptation process of the trailing parents in China.

Yuehui Yu, Depeng Li, Yun Xia

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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.

Yuehui YuSchool of Public Administration and Policy, Renmin University of China, Beijing, 100872, China. yuyuehui@ruc.edu.cn.
Depeng LiSchool of Marxism, Renmin University of China, Beijing, 100872, China.
Yun XiaSchool of Marxism, Renmin University of China, Beijing, 100872, China.

Funding

the National Natural Science Foundation of China No. 72204256
6 · The paper itself

Abstract

backgroundTrailing parents, a distinct group emerging from China's rapid social change and urbanization, are experiencing migration in old age, posing challenges for their social adaptation. Existing research has mainly focused on the hardships faced by this group, but few studies have focused on how they cope with change and achieve some degree of successful social adaptation. This study aimed to understand the coping and social adaptation process of trailing parents in China.

methodsThis study used a qualitative research approach. A total of 24 trailing parents were invited to participate in a semi-structured interview and share their experiences and efforts to cope with the many challenges. Kumpfer's resilience framework was used as the theoretical framework for the study design, data collection, and data analysis.

resultsThis study identified several intra-family and community stressors that trailing parents may face when moving to a new environment and uncovered five key resilience characteristics that may be triggered or fostered in the presence of these stressors, including physical fitness, psychological stability, open-mindedness, learning ability, and nurturing hobbies. Individuals with resilience traits have been observed to engage in positive cognitive processing and transform the new environment. Consistent with Kumpfer's resilience framework, this study revealed the dynamics of the stressors faced by trailing parents in the new environments, the role of resilience characteristics, and the critical influence of social support in shaping the interplay between the individual and the environment that enabled them to adapt positively.

conclusionsThis study highlights the importance of fostering resilience traits and leveraging positive coping mechanisms to facilitate a smoother adaptation process for trailing parents. Meanwhile, there is an urgent need to focus on creating opportunities that strengthen their social support networks.

Indexed as

Adaptation, PsychologicalParentsResilience, PsychologicalAgedChinaFemaleHumansMaleMiddle AgedQualitative ResearchSocial AdjustmentSocial SupportResilienceSocial adaptationSocial supportTrailing parents

Identifiers

PMID38982345
PMCPMC11232334

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LicenceCC BY
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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.