Evidence map›Paper›PMID 42104522›Full record

ArticleJournal of eating disorders2026

Patterns of disordered eating behavior, adaptive and maladaptive perfectionism and impulsivity in early adolescents.

Kärol Soidla, Kirsti Akkermann

Abstract read
In one paragraph

Article in Journal of eating disorders, 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
–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

2 authors.

Kärol SoidlaInstitute of Psychology, University of Tartu, Näituse 2, 50409, Tartu, Estonia. karol.soidla@ut.ee.ORCID http://orcid.org/0000-0002-9286-760X
Kirsti AkkermannInstitute of Psychology, University of Tartu, Näituse 2, 50409, Tartu, Estonia.ORCID http://orcid.org/0000-0003-1402-8365

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, latent profile analysis (LPA) was used to identify naturally occurring patterns or profiles of maladaptive and adaptive perfectionism, impulsivity, and disordered eating (DE) in early adolescence (111 boys, 138 girls; M age = 13.6 years). Profile membership at age 13 was used to examine disordered eating patterns assessed at ages 11 and 12, providing insights into how symptoms had developed prior to profile formation. Using LPA, we identified five profiles: (1) high functioning (2), maladaptively impulsive (3), anxious-avoidant (4), maladaptively perfectionistic, and (5) maladaptively impulsive-perfectionistic. The maladaptively perfectionistic profile showed the highest levels of dieting, preoccupation with food, and body concerns as well as perceived sociocultural pressure to be thin, followed by the maladaptively impulsive-perfectionistic profile. Analyses of earlier DE patterns indicated that the anxious-avoidant profile consistently showed the lowest BMI and highest perceived pressure to eat, both at age 13 and at earlier assessment points, suggesting possible feeding-related difficulties. The findings confirm that maladaptive and adaptive perfectionism, impulsivity, and BMI are jointly associated with the development of DE in early adolescence, demonstrating that considering these traits together yields greater explanatory value than focusing on any single factor alone. While identifying general risk factors is essential, differentiating personality-based profiles of vulnerable adolescents may be particularly valuable for targeted early prevention.

Indexed as

BMIDevelopmentDisordered eatingImpulsivityPerfectionismPersonality profiles

Identifiers

PMID42104522
PMCPMC13330429

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.