Evidence map›Paper›PMID 40796999›Full record

ArticleDigestive diseases and sciences2025

Inflammatory Bowel Disease Self-Care Behaviors in Context of Psychosocial Factors.

Jordan Anders-Rumsey, Lauren Kasmikha, Melody Chiang, Gal Hodish, Jessica Sheehan, Jessica R Golbus, Ulrica Loven Wickman, Andrew Admon, Kenneth Resnicow, John Sturgeon and 1 more

Abstract read
In one paragraph

Article in Digestive diseases and sciences, 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
–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. Trial
  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

11 authors.

Jordan Anders-RumseyDepartment of Internal Medicine, University of Michigan Medicine, Ann Arbor, MI, USA.
Lauren KasmikhaDepartment of Internal Medicine, University of Michigan Medicine, Ann Arbor, MI, USA.
Melody ChiangUniversity of Michigan Medical School, Ann Arbor, MI, USA.
Gal HodishDivision of Gastroenterology & Hepatology, University of Michigan Medicine, 3912 Taubman Center, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA.
Jessica SheehanDivision of Gastroenterology & Hepatology, University of Michigan Medicine, 3912 Taubman Center, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA.
Jessica R GolbusDivision of Cardiology, University of Michigan Medicine, Ann Arbor, MI, USA.
Ulrica Loven WickmanDepartment of Health and Caring Sciences, Linnaeus University, Växjö, Sweden.
Andrew AdmonDivision of Pulmonary and Critical Care Medicine, University of Michigan Medicine, Ann Arbor, MI, USA.
Kenneth ResnicowSchool of Public Health, University of Michigan, Ann Arbor, MI, USA.
John SturgeonDepartment of Anesthesiology, University of Michigan Medicine, Ann Arbor, MI, USA.
Shirley Cohen-MekelburgDivision of Gastroenterology & Hepatology, University of Michigan Medicine, 3912 Taubman Center, 1500 E. Medical Center Drive, Ann Arbor, MI, 48109, USA. shcohen@umich.edu.

Funding

Training Program in Gastrointestinal EpidemiologyT32DK062708 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Peter D.R. Higgins, Elliot Tapper · 2003 to 2026
$3.9M
Developing a Self-Management Intervention to Improve Health Outcomes for Patients with Inflammatory Bowel DiseaseK23DK136928 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Shirley Ann Cohen-Mekelburg · 2024 to 2026
$582k
Foundation for the National Institutes of Health K23DK136928NIDDK NIH HHS K23 DK136928NIDDK NIH HHS T32 DK062708
6 · The paper itself

Abstract

backgroundIBD self-management behaviors can be classified into three components: monitoring, adaptation, and maintenance.

aimsOur primary objective was to understand variation in IBD self-management behaviors. Our secondary objective was to examine the relationship between disease burden, self-efficacy, and these IBD self-management behaviors.

methodsWe conducted a prospective survey study of patients with IBD using the IBD self-care questionnaire, treatment self-regulation questionnaire, IBD self-efficacy scale, understanding IBD questionnaires, and ulcerative colitis (UC)/Crohn's disease patient-reported outcome measures. We examined the relationship between IBD monitoring, adaptation, maintenance behaviors, and both IBD self-efficacy and current disease burden using multivariable ordinal logistic regression.

resultsWe enrolled 87 participants (mean age, 55.2 [sd = 17.1] years, 51.7% female, 47.1% with UC) who completed survey questions. Overall participation in IBD monitoring, adaptation, and maintenance behaviors was common. In a multivariable analysis, higher self-efficacy was associated with more frequent monitoring of non-inflammatory symptoms after adjusting for disease burden, age, sex and IBD type (odds ratio[OR] = 1.013, p = 0.006). Separately, higher disease burden was associated with more frequent adaptation (including avoiding sex, OR = 1.089, p < 0.001; avoiding activities, OR = 1.079, p < 0.001; planning around bathrooms, OR = 1.090, p < 0.001; planning around IBD, OR = 1.127, p < 0.001).

conclusionStudy findings highlight a complex relationship between IBD self-management behaviors, self-efficacy, and disease burden. Self-management support strategies that adapt to the needs of patients at times of high disease burden may offer unique benefits. Further work is needed to explore how best to adapt these strategies into effective interventions.

Indexed as

Colitis, UlcerativeCrohn DiseaseInflammatory Bowel DiseasesSelf CareSelf EfficacyAdaptation, PsychologicalAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSurveys and QuestionnairesConfidenceCrohn’s diseaseSelf-managementUlcerative colitis

Identifiers

PMID40796999
PMCPMC12416496

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.