Evidence map›Paper›PMID 40234927›Full record

ArticleBMC psychology2025

Emotion dynamics prospectively predict depressive symptoms in adolescents: findings from intensive longitudinal data.

Yuting Yang, Jingyi Wang, Haijiang Lin, Xiaoxiao Chen, Yun Chen, Jiawen Kuang, Ye Yao, Tingting Wang, Chaowei Fu

Abstract read
In one paragraph

Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Yuting Yang *School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Jingyi Wang *School of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Haijiang LinTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China.
Xiaoxiao ChenSchool of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
Yun ChenYale School of Nursing, Orange, CT, 06477, USA.
Jiawen KuangShanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
Ye YaoSchool of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China. yyao@fudan.edu.cn.
Tingting WangTaizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang Province, China. wja_wdt@163.com.
Chaowei FuSchool of Public Health, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China. fcw@fudan.edu.cn.

Funding

China Medical Board #22-472National Natural Science Foundation of China 72104053Shanghai Municipal Health Commission 202240115Special Support Program for High Level Talents in Taizhou TZ2022-2
6 · The paper itself

Abstract

backgroundThe incidence of depression among adolescents has risen significantly over the past decade. Emotional dynamics, including variability, instability, and inertia of positive affect (PA) and negative affect (NA), are potential risk factors for depressive psychopathology. However, limited longitudinal evidence exists on how these emotion dynamics relate to depression, particularly in collectivistic cultural contexts, where emotional expression and regulation are shaped by social and familial expectations. This study aimed to investigate the longitudinal associations between emotion dynamics-variability, instability, and inertia of PA and NA-and subsequent depressive symptoms among Chinese adolescents.

methodsData were collected from middle school students in Taizhou, China, between November 2021 and April 2022. Participants completed baseline surveys and experience sampling assessments, reporting their emotional states ten times daily over five consecutive weekdays. Depressive symptoms were assessed using the Children's Depression Inventory (CDI), while emotional dynamics (variability, instability, and inertia) were derived from the experience sampling data. Logistic regression models were employed to examine whether emotion dynamics predicted depressive symptoms at 1-month and 3-month follow-ups.

resultsA total of 448 participants completed all study procedures and were included in the analysis. Emotional variability and instability in PA and NA were longitudinally associated with depressive symptoms at both 1-month and 3-month follow-ups. After controlling for mean affect levels, PA variability and instability, but not NA, were uniquely linked to depressive symptoms. Emotional inertia showed no significant association with subsequent depressive symptoms. Emotional variability and instability in PA and NA also predicted the development of new symptoms in adolescents without baseline depression (n = 372).

conclusionsEmotional variability and instability of PA and NA were longitudinally associated with changes in depressive symptoms and the development of new symptoms among adolescents. These emotion dynamics provide insights into real-world emotional processing and offer important targets for adolescent depression interventions.

Indexed as

AffectDepressionEmotionsAdolescentChildChinaFemaleHumansLongitudinal StudiesMaleRisk FactorsAdolescentsDepressive symptomsEmotional instabilityEmotional variabilityEmotion dynamics

Identifiers

PMID40234927
PMCPMC12001457

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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.