Evidence map›Paper›PMID 41079852›Full record

ArticleFrontiers in psychology2025

Youth health behaviors and their reverse intergenerational impact.

Shaoang Xia, Ke Zhang, Chuwen Yan, Yayu Zhou, Chunqu Xiao

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Shaoang XiaSchool of Law and Institute of Chinese Legal Modernization Studies, Nanjing Normal University, Nanjing, China.
Ke ZhangSchool of Management and Engineering, Nanjing University, Nanjing, China.
Chuwen YanSchool of Management and Engineering, Nanjing University, Nanjing, China.
Yayu ZhouBusiness School, Jinling Institute of Technology, Nanjing, China.
Chunqu XiaoSchool of Business, Shaoxing University, Shaoxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the context of rapid population aging and digital transformation in China, youths are increasingly influencing older family members' health perceptions and behaviors through "cultural feedback" mechanisms. This study examines the factors shaping youth health behaviors and their reverse intergenerational effects on elders. Methods: A cross-sectional survey of 2,187 participants aged 18-35 examined factors influencing youth health behaviors and their reverse intergenerational influence on older family members, using regression analyses with mediation models. Results: Findings indicate emotional regulation capacity emerged as the strongest predictor of health behaviors, followed by surrounding individuals' health status, gender, and self-reported health condition. Socioeconomic status, occupation, and age demonstrated limited direct effects. Young adults' health behaviors significantly predicted reverse intergenerational influence, with health behavior tendency mediating relationships between individual characteristics and intergenerational influence. Discussion: Young adults serve as pivotal agents in health-related "cultural feedback". Their health behavior tendencies subsequently influence older generations' health perceptions and practices. Interventions targeting emotional regulation skills among young adults may effectively amplify intergenerational health promotion while addressing aging-related public health challenges.

Indexed as

cultural feedbackhealth behaviorsmisinformationreverse intergenerational influencesocial media

Identifiers

PMID41079852
PMCPMC12509426

What OpenQuestion holds

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LicenceCC BY
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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.