Evidence map›Paper›PMID 17404677›Full record

ArticleSocial psychiatry and psychiatric epidemiology2007

Non-participation may bias the results of a psychiatric survey: an analysis from the survey including magnetic resonance imaging within the Northern Finland 1966 Birth Cohort.

Marianne Haapea, Jouko Miettunen, Juha Veijola, Erika Lauronen, Päivikki Tanskanen, Matti Isohanni

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Article in Social psychiatry and psychiatric epidemiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  4. Assessing the validity of a self-reported clinical diagnosis of schizophrenia.medRxiv : the preprint server for health sciences · 2023
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  12. Biases in health expectancies due to educational differences in survey participation of older Europeans: It's worth weighting for.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Marianne HaapeaDepartment of Psychiatry, University of Oulu, Oulu, Finland. marianne.haapea@oulu.fi
Jouko Miettunen
Juha Veijola
Erika Lauronen
Päivikki Tanskanen
Matti Isohanni

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA major reason for limited validity of research is non-participation. Subjects with severe mental illness tend to cumulate in the group of non-participants, causing selection bias. We tested the hypothesis that severe psychosis is linked to non-participation in a field survey including magnetic resonance imaging (MRI) of the brain, psychiatric interviews and cognitive testing among subjects with psychosis. Furthermore, we wanted to explore other associative factors expected to affect non-participation.

methodsMembers of the Northern Finland 1966 Birth Cohort with a lifetime diagnosis of psychosis (N = 145) were invited to participate in the survey conducted in 1999-2001. Non-participation was determined by refusal or loss of contact. Data were gathered in earlier phases of the follow-up study or using register data.

resultsNinety-one (63%) subjects attended the study. Compared to participants, non-participants were more often patients with schizophrenia and had more psychiatric hospitalisations, they had more positive psychosis symptoms during their illness course and they were more often on disability pension. Married subjects participated more often than those who were not married.

conclusionThis study suggests that among subjects with psychosis, particularly those subjects who have the most severe course of illness are less willing to participate. This may lead to biased estimates when studying subjects with severe mental disorders.

Indexed as

Surveys and QuestionnairesAdultAge of OnsetBiasCatchment Area, HealthCohort StudiesCommunity ParticipationFemaleFinlandHospitalizationHumansMagnetic Resonance ImagingMalePsychiatryRegistriesSchizophrenia

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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.