Evidence map›Paper›PMID 30564177›Full record

ArticleFrontiers in psychology2018

Alexithymia Predicts Attrition and Outcome in Weight-Loss Obesity Treatment.

Mario Altamura, Piero Porcelli, Beth Fairfield, Stefania Malerba, Raffaella Carnevale, Angela Balzotti, Giuseppe Rossi, Gianluigi Vendemiale, Antonello Bellomo

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04035512 (The "Expressive Writing" as Psychological Intervention in Bariatric Population. Prospective Longitudinal Multi Centric Study), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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.

NCT04035512 naunknown statusnot on this mapstarted 2019, after this paper: background citation

The "Expressive Writing" as Psychological Intervention in Bariatric Population. Prospective Longitudinal Multi Centric Study

TypeinterventionalSponsorUniversity of Roma La SapienzaRan2019 to 2020Enrolled136ConditionsBariatric Surgery CandidateArmsExpressive writing
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Predicting Attrition Patterns from Pediatric Weight Management Programs.Proceedings of machine learning research · 2022
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  7. Article
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  10. Observational
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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

9 authors.

Mario AltamuraDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Piero PorcelliDepartment of Psychological, Health and Territorial Sciences, D'Annunzio University of Chieti-Pescara, Chieti, Italy.
Beth FairfieldDepartment of Psychological, Health and Territorial Sciences, D'Annunzio University of Chieti-Pescara, Chieti, Italy.
Stefania MalerbaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Raffaella CarnevaleDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Angela BalzottiDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Giuseppe RossiDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Gianluigi VendemialeDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Antonello BellomoDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a psychosomatic condition characterized by a complex interaction of biological and psychological factors and a large body of research has aimed to identify variables limiting efficacy and determining high attrition rates in weight loss programs. In this study, we used the Diagnostic Criteria for Psychosomatic Research (DCPR), designed to broaden the clinician's perspective on patients' problems by providing additional clinical information not found in the more traditional psychiatric classification, to predict psychosomatic variables that may limit efficacy and determine attrition in clinical interventions with people with obesity. We evaluated 82 consecutive participants with obesity at baseline for psychopathology, psychosomatic correlates, psychological distress, and eating-related symptoms before entering a weight loss program. Regression models were used to assess attrition and outcome at a 6-month follow-up and per-protocol and intention-to-treat analyses were performed. DPCR alexithymia significantly predicted attrition (OR = 6.9), and unsuccessful weight-loss (OR = 11.3). These findings suggest that the identification of psychosomatic factors, in addition to psychological and psychopathological factors, may predict adherence to weight-loss programs.

Indexed as

alexithymiaclinical interventiondiagnostic criteria for psychosomatic researchdropoutobesitypredictive factors

Identifiers

PMID30564177
PMCPMC6288375

What OpenQuestion holds

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Registered trials

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.