Evidence map›Paper›PMID 38084229›Full record

ArticleHealth psychology report2021

Predictors of illness acceptance in women with endometriosis.

Aleksandra Andysz, Dorota Merecz-Kot

Abstract read
In one paragraph

Article in Health psychology report, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

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

  1. Pooled it
  2. Article
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.

Aleksandra AndyszDepartment of Health and Work Psychology, Nofer Institute of Occupational Medicine, Lodz, Poland.ORCID https://orcid.org/0000-0002-1248-2129
Dorota Merecz-KotInstitute of Psychology, University of Lodz, Lodz, Poland.ORCID https://orcid.org/0000-0002-8294-4309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study aimed to identify significant predictors of illness acceptance in women with endometriosis. As potential predictive factors, variables related to the disease (pain frequency, co-morbid infertility, diagnostic delay, years of living with the diagnosis), demographic variables (age, place of residence, education, income, the fact of having children) and psychological variables (pain coping strategies) were taken into account. PARTICIPANTS AND PROCEDURE: The study participants - 247 women with endometriosis - were recruited in Poland in medical facilities from 6 large voivodship cities and through a patients' association. The participants filled in the following questionnaires: the Acceptance of Illness Scale (AIS), Endometriosis Health Profile-30 (EHP-30), and the Coping Strategies Questionnaire (CSQ). The data were analysed with the method of stepwise hierarchical regression.

resultsThe final significant model explained 24% of the variance of the AIS score. The model consisted of the following variables: pain frequency, reinterpreting pain sensations, pain catastrophizing and praying/hoping. Only two variables were significant predictors in this model: pain frequency and pain catastrophizing. Years with diagnosis, age, diagnostic delay, place of residence, education, income, and the fact of having children were not significant.

conclusionsThe interventions addressed to patients should support their acceptance of chronic pain and help them to develop adaptive pain coping strategies. Due to the co-morbidity of endometriosis-related pain and depression the inclusion of antidepressant pharmacotherapy and psychotherapy based on cognitive techniques is recommended.

Indexed as

endometriosisillness acceptanceinfertilitypain

Identifiers

PMID38084229
PMCPMC10694698

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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.