Evidence map›Paper›PMID 42232236›Full record

ArticleFrontiers in rehabilitation sciences2026

Associations between self-reported depression and functioning across ICF domains: a Danish population-based study.

Pernille Pedersen, Merjema Zulfikari, Marc Sampedro Pilegaard, Dorte Balle Rubak, Charlotte Ibsen

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

5 authors.

Pernille PedersenDEFACTUM, Central Denmark Region, Aarhus, Denmark.
Merjema ZulfikariDEFACTUM, Central Denmark Region, Aarhus, Denmark.
Marc Sampedro PilegaardDEFACTUM, Central Denmark Region, Aarhus, Denmark.
Dorte Balle RubakDepartment of Social Medicine and Rehabilitation, Gødstrup Hospital, Gødstrup, Denmark.
Charlotte IbsenDEFACTUM, Central Denmark Region, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a major contributor to disability, yet clinical assessment and research have primarily focused on symptom severity. This study aims to examine associations between self-reported depression and functioning across the International Classification of Functioning, Disability and Health (ICF), while accounting for environmental and personal factors. Methods: The study analyzed self-reported data from the 2021 Danish "How are you?" survey. Guided by the ICF framework, associations between self-reported depression and functioning were analyzed using logistic regression in a stratified random sample of 48,936 adults aged 25 years and older. Results: Of the 28,101 respondents included, 3,060 (13%) reported symptoms indicative of depression. Across all ICF components, individuals with self-reported depression reported substantially more disability than those without depression. After adjustment for personal and environmental factors, depression (reference: no depression) remained strongly associated with impairments in body functions and structures, including poor sleep quality (OR 2.94, 95% CI 2.44-3.54), atypical sleep duration (OR 1.27, 95% CI 1.18-1.37), perceived stress (OR 9.75, 95% CI 8.12-11.72), life strain (OR 1.97, 95% CI 1.67-2.33), and loneliness (OR 2.93, 95% CI 2.43-3.52). Depression was also associated with activity limitations and participation restrictions, including requiring assistance with activities of daily living (OR 1.39, 95% CI 1.10-1.74), difficulty engaging with healthcare providers (OR 1.83, 95% CI 1.44-2.32), non-engagement in work or education (OR 1.40, 95% CI 1.10-1.79), and lack of community involvement (1.19, 95% CI 1.03-1.39). Conclusions: Self-reported depression was associated with widespread disability across psychological, social, and physical domains, underscoring its relevance as a condition with substantial disability. The findings support the utility of ICF for systematically capturing the multidimensional impact of depression at the population level, informing comprehensive assessment and rehabilitation-practice and research.

Indexed as

adultsdepressiondisabilityDisability and Health (ICF)functioninghealth surveyInternational Classification of Functioning

Identifiers

PMID42232236
PMCPMC13223163

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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.