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Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 226 days ago

Knee Pain and related health In the Community (KPIC)

Dataset

Summary

DOI Name:
10.1093/rheumatology/keaa561

Documentation

Description:
The Knee Pain and related health In the Community (KPIC) was initiated in 2014 as a prospective community-based cohort of 9500 people aged 40 years or over within the East Midlands region (UK). KPIC has, to date, completed 4 waves (0, 1, 3, 6 years) of questionnaire surveys, wave 6 administered within the context of the COVID-19 pandemic. Available data describe: - demographic characteristics - knee pain; pain severity, quality and distribution - risk factors for knee pain and osteoarthritis (OA) (age, body mass index, knee alignment, nodal OA, index: ring finger length (2D4D ratio) - quality of life (SF12) - mental health (Hospital Anxiety and Depression Scale). Clinical assessment/phenotyping of a subsample of 400 wave-0 participants plus 115 incidence knee pain cases was undertaken the first 3 waves. These baseline cases were purposively sampled from the KPIC population to comprise 3 groups: early knee pain (≤3 years), established knee pain or no knee pain. Available data include: - knee radiographs (standing semi-flexed and 300 skyline views) - knee ultrasound (synovial effusion, hypertrophy, and power Doppler) - quantitative sensory testing (pressure pain detection thresholds and temporal summation) - muscle strength (quadriceps, hip abductor, and hand-grip) - measured balance - gait analysis (GAITrite) - blood and urine samples for biomarkers.

Coverage

Spatial:
United Kingdom,England
Typical Age Range:
40-85
Follow Up:
1 - 10 Years

Provenance

Origin

Purposes:
Trial
Sources:
EPR
Collection Situations:
Clinic

Temporal

Accrual Periodicity:
Static
Start Date:
01 June 2014
Time Lag:
Not applicable

Accessibility

Access

Access Rights:
In Progress
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-ENG
Data Controller:
University of Nottingham
Data Processor:
University of Nottingham

Usage

Resource Creators:
University of Nottingham;,;NIHR Nottingham Biomedical Research Centre

Format and Standards

Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
csv

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
9000
Count
27 September 2021