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Coevorden Study
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Sample details

The Coevorden Study aimed to identify clinically relevant clusters of pelvic floor symptoms (PFS) and the factors associated with their development, progression, and related health-seeking behaviours among both males and females. In 2019, the study recruited nearly 1,700 community-dwelling individuals aged 16 years or older, with and without PFS, living in the municipality of Coevorden, the Netherlands. Participants were assessed at baseline and were followed up after one and two years. Participants completed questionnaires, and a subset of participants participated in a physical examination sub-study (assessing the relationship between the pelvic floor muscles and PFS and an interview (assessing the barriers and facilitators for seeking help for PFS). Data was also extracted from medical files covering the four years before the baseline measurement to the end of the follow-up period.

Study design
Cohort

Number of participants at first data collection

1,691 (participants)

Age at first data collection

≥ 16 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adolescents
Adults
Community-based sample
Dataset details

Country

Netherlands

Year of first data collection

2015 (medical records linkage)

2019 (baseline assessment)

Primary Institutions

University Medical Center Groningen (Universitair Medisch Centrum Groningen, UMCG)

University of Groningen (Rijksuniversiteit Groningen, UG)

Links

coevordenstudie.nl/

research.rug.nl/en/datasets/coevorden-study

doi.org/10.1002/nau.24996

umcgresearchdatacatalogue.nl/UMCG/catalogue/all/cohorts/Coevorden%20Study

Profile paper DOI

doi.org/10.1002/nau.25020

Funders

The Netherlands Organisation for Health Research and Development (ZonMw)

Ongoing?
No

Data types collected

mentalHealthData
qualitativeData
dataLinkage
Quantitative data collection
  • Interview – unspecified
  • Secondary data
  • Self-report questionnaire – online
  • Self-completed questionnaire – paper or computer assisted
Qualitative data collection
  • Interviews or focus groups
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Abuse and neglect
    Defecation problems
    Exposure to violence
    Healthcare access and use
    Lifestyle
    Medical records
    Pain
    Pelvic organ prolapse
    Physical health
    Physical health assessments
    Sexual behaviour
    Sexual health and function
    Sociodemographics
    Urology
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