Evidence map›Paper›PMID 42586991›Full record

ArticleScientific reports2026

Identifying the interactive pathways shaping health satisfaction among Chinese older adults with tourism participation.

Yuchi Liu, Kunio Shirahada

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yuchi LiuDalian Polytechnic University, Dalian, China. s2320420@jaist.ac.jp.
Kunio ShirahadaJapan Advanced Institute of Science and Technology (JAIST), Nomi, Japan. kunios@jaist.ac.jp.

Funding

Liaoning Provincial Department of Education LJ112510152003
6 · The paper itself

Abstract

As global aging accelerates, improving older adults' health satisfaction is a key policy and public health concern. While tourism has been associated with well-being, the pathways through which it is associated with health satisfaction remain unclear. It is not well understood whether social, environmental, and digital factors affect health satisfaction independently or interactively in the context of tourism participation. This study addresses this gap by examining the key determinants of health satisfaction among older adults engaging in tourism and assessing the independent and interactive effects of social relationships, environmental quality, and digital participation. This study uses data from 13,346 respondents in the China Health and Retirement Longitudinal Study (CHARLS). A data-driven approach combining machine learning and regression analysis was applied to identify key predictors of health satisfaction and examine their interaction effects in the context of tourism participation. The results show that health satisfaction among older adults is primarily associated with self-reported health, while social, environmental, and digital factors are also related to health satisfaction through interaction effects. In particular, social support, particularly marital relationships, is more strongly associated with health satisfaction among individuals with poorer health, whereas environmental factors including air quality and digital engagement are associated with variations in health satisfaction in a context-dependent manner. These findings suggest that health satisfaction is not explained by single factors, but is associated with the combined presence of tourism participation and multiple interacting conditions. The results indicate that health satisfaction in older adults engaging in tourism is shaped by multiple interacting factors rather than a single linear effect. Social relationships, environmental quality, and digital participation emerge as key determinants, each influencing well-being through distinct pathways. These findings highlight the complex and context-dependent nature of health satisfaction and highlight the importance of personalized interventions and policy strategies to enhance older adults' well-being through tourism-based social and environmental engagement.

Indexed as

Personal SatisfactionTourismAgedChinaEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle AgedSocial SupportDigital participationEnvironmental qualityHealth satisfactionMachine learningOlder adultsTourism participation

Identifiers

PMID42586991
PMCPMC13469796

What OpenQuestion holds

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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.