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Knee Pain and related health In the Community (KPIC)

Population Size

9,000

People

Population Size statistic card

Years

2014

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

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).

Documentation

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.

Dataset type

Health and disease

Dataset sub-type

Not applicable

Dataset population size

9000

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

9000

Count

27 Sep 2021

Provenance

Purpose of dataset collection

Trial

Source of data extraction

EPR

Collection source setting

Clinic

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Static

Version

3.0.0

Modified

08/10/2024

Citation Requirements

University of Nottingham;,;NIHR Nottingham Biomedical Research Centre

Coverage

Start date

01/06/2014

Time lag

Not applicable

Geographic coverage

United Kingdom, England

Minimum age range

40

Maximum age range

85

Follow-up

1 - 10 Years

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

csv

Data Access Request

Dataset pipeline status

Not available

Access rights

In Progress

Time to dataset access

Not applicable

Jurisdiction

GB-ENG

Data Controller

University of Nottingham

Data Processor

University of Nottingham

Dataset Types: Health and disease


Collection Sources: Clinic

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