Evidence map›Paper›PMID 42553239›Full record

ArticleFrontiers in psychology2026

Dynamic interactions among anxiety, emotional stability, and mindfulness: a cross-lagged panel network analysis.

Yuntai Wang, Jiangtao Han, Yukun Mei, Shiyi Lin, Guodong Gong, Fengqiong Zheng, Songkai He, Jian Sun

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. 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
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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

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

8 authors.

Yuntai Wang *Xihua University, Chengdu, China.
Jiangtao Han *Xiamen University, Xiamen, China.
Yukun Mei *Xihua University, Chengdu, China.
Shiyi LinYunnan Normal University, Kunming, China.
Guodong GongYunnan Normal University, Kunming, China.
Fengqiong ZhengSichuan University of Science and Engineering, Zigong, China.
Songkai HeXihua University, Chengdu, China.
Jian SunXihua University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anxiety is one of the most prevalent global mental health disorders, with its incidence having risen substantially since the COVID-19 pandemic and remaining elevated in the post-pandemic era. According to the process model of emotion regulation, mindfulness may serve as an early-stage cognitive change strategy that enhances emotional stability and ultimately reduces anxiety. While previous research has demonstrated robust interconnections among anxiety, emotional stability, and mindfulness, the majority of studies have relied on cross-sectional designs and aggregate scores, neglecting their longitudinal, item-level dynamic relationships. Method: This study collected data from 547 college students ( Result: Mindfulness items had higher out-Expected influence (OEI), whereas anxiety symptoms had stronger in-Expected Influence (IEI), with anxiety and emotional stability having the strongest bridge effects. Specifically, mindfulness components "Thought Acceptance" (M7) and "Nonjudgmental Awareness" (M8) exerted significant effect on anxiety and emotional stability. Anxiety symptoms were highly responsive to other symptoms, which undermined emotional stability. The network analysis revealed complex temporal and predictive associations among anxiety, emotional stability, and mindfulness. Conclusion: This study is the first investigation to reveal the longitudinal dynamic connections between anxiety, emotional stability, and mindfulness at the item level, consequently provided longitudinal support consistent with the emotion regulation process model.

Indexed as

anxietycross-lagged panel network designemotional stabilitymindfulnesspredictive associations

Identifiers

PMID42553239
PMCPMC13433435

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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.