Evidence map›Paper›PMID 38694440›Full record

ArticleFrontiers in psychology2024

Emotion regulation goals and strategies among individuals with varying levels of sensory processing sensitivity: a latent profile analysis.

Yiran Liu, Feng Tian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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
4.5field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yiran LiuSchool of Humanities and Social Science, Shanxi Medical University, Taiyuan, China.
Feng TianDepartment of Psychiatry, Second Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emotion regulation (ER) has emerged as a significant factor influencing the well-being of individuals with high sensory processing sensitivity (SPS). However, the interaction between SPS and the underlying mechanisms of ER remains largely unexplored. Objective: This study aimed to (a) identify profiles of SPS and ER competency using a latent profile analysis (LPA), and (b) investigate the ER goals and strategy use among each profile to better understand ER patterns in highly sensitive individuals with lower ER proficiency. Methods: A total of 813 Chinese college students (mean age = 21.53 ± 2.48; 74.41% female) completed the Highly Sensitive Person Scale, 16-item Difficulties in Emotion Regulation Scale, Emotion Regulation Goals Scale, Emotion Regulation Questionnaire, and the rumination subscale from the Cognitive Emotion Regulation Questionnaire. Results: The LPA identified three profiles: "Low SPS - High ER Competency" (41%), "Moderate SPS - ER Competency" (41%), and "High SPS - Low ER Competency" (18%). ER goals varied significantly among these groups. The "High SPS - Low ER Competency" group predominantly pursued contra-hedonic goals and impression management goals, while the "Low SPS - High ER Competency" group focused on pro-hedonic goals. In terms of strategies, the "Low SPS - High ER Competency" group mainly used cognitive reappraisal, the "Moderate SPS - ER Competency" group leaned towards suppression, and the "High SPS - Low ER Competency" group preferred rumination and suppression. Conclusion: These findings indicate that higher SPS combined with lower ER proficiency is linked to an increased pursuit of contra-hedonic goals and impression management goals, and a reliance on response-focused strategies. This pattern offers new insights for developing psychological support strategies for highly sensitive individuals experiencing mental distress.

Indexed as

Chinaemotion regulationemotion regulation goalslatent profile analysissensory processing sensitivity

Identifiers

PMID38694440
PMCPMC11061520
OpenAlexW4394887456

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.