Evidence map›Paper›PMID 37089819›Full record

ArticlePsychology research and behavior management2023

A Latent Class Analysis of Intergenerational Relationships Among the Elderly Migrants in Nanjing, China.

Shiyuan Yan, Ruyue Deng, Yanjie Hou, Lin Zhang, Wengjing Zhang, Jun Yao

Abstract read
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Article in Psychology research and behavior management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shiyuan YanSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.ORCID 0000-0003-1377-7698
Ruyue DengSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.
Yanjie HouSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.
Lin ZhangSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.
Wengjing ZhangSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.
Jun YaoSchool of Health Policy and Management, Nanjing Medical University, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify (1) different types of intergenerational relationships among the elderly migrants, (2) factors influencing each type of relationship, and (3) the types significantly associated with psychological well-being of the elderly migrants. Methods: Data were collected from 654 elderly migrants in Nanjing, China. Incorporating ten solidarity conflict indicators, the latent class analysis (LCA) was performed to classify intergenerational relationships. Logistic regression were used to analyze influencing factors, and ordinary least squares (OLS) regression was used to analyze the relationship of each type of intergenerational relationship with depression and life satisfaction. Results: Three types of intergenerational relationships were classified: Discussion: Three intergenerational relationships exist between elderly migrants and their children in Nanjing, China. A closer relationship predicts a better mental health in the elderly migrants.

Indexed as

elderly migrantsintergenerational relationshiplatent class analysis

Identifiers

PMID37089819
PMCPMC10120831

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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.