Title: Predicting the onset of forearm pain
1Predicting the onset of forearm pain
- Martin Underwood
- Professor of General Practice
- Centre for Health Sciences
- Barts and The London
- Assurance Medical Society Conference
- May 2006
2Study Team
- Deborah Ashby
- Dawn Carnes
- Louise Letley
- Suzanne Parsons
- Martin Underwood
3Content of presentation
- Background
- Aims
- Method
- Results
- Conclusions
4Forearm pain
- Shortage of reliable information about forearm
pain - Diagnostic labelling of forearm pain problematic
- Ascribed as work related repetitive strain injury
5Prevalence
- Increase in the 80s, but bears little
relationship to changes in working practices - (Helliwell 2003)
- 8 of Dutch workers lose time from work due to
RSI (Bongers et al 2002)
6Prevalence (cont)
- Seven day prevalence of forearm pain 4.3 (Kryger
et al 2003) - One year incidence of forearm pain in a cohort of
computer operators, 1.3 (Kryger et al 2003) - One month prevalence of forearm pain in a mixed
work based cohort, 9 (Nahit et al 2001)
7Possible causes of chronic forearm pain
- Repetitive strain injury
- Work related overuse
- Referred pain
- Part of a pain complex, such as fibromyalgia
- Claudication of the radial artery
8Aim
-
- To examine the epidemiology of forearm pain in a
representative community sample
9Objectives
- To explore the prevalence of chronic pain
- To examine the relationship between forearm pain
and other musculoskeletal pain - To investigate other factors associated with the
presence of forearm pain - To examine predictors for the development of, and
recovery from chronic forearm pain
10Method
- Longitudinal community based postal questionnaire
survey - Baseline and follow-up survey, 2 years later
11A word from my (other) sponsors
- Baseline survey funded by arc
- Arthritis Research Campaign
- Study run through the Medical Research Council
General Practice Research Framework - Follow-up survey funded by Assurance Medical
Society
12Sample
- Randomly selected people from GP registers in the
south eastern quadrant of England - 16 MRC-GPRF GP practices, 4,172 surveyed, 60
response rate (2,493) - Seven practices participated in the follow-up
survey, 60 response rate (253)
13BEXS survey 4,000 patients, 16 practices
14(No Transcript)
15The questionnaire
- Demographic details
- EQ5D
- Quality of life
- General Health Questionnaire
- Psychological distress
- Chronic Pain Grade
- Pain
- Disability
16Pain
- Persistent pain
- Present most days for the last year
- Pain drawing
- Asked to mark where they felt this pain
- Shading of drawing indicates important pain
17Pain drawing
18Scoring pain drawing
19Defining forearm pain
20Forearm and associated upper limb pain
21Statistical analysis
- Descriptive prevalence data
- Forearm pain and other pain
- Forearm pain and occupational group
- Risk of forearm pain and other variables
- Change in pain over 2 years
- Prognostic indicators
22Results
- Baseline Follow up
- ______________________________________
- Response rate 60 60
- Responses 2,942 253
- Males 43
44 - Mean age 52 years 55
years - Chronic pain 45
55 - Forearm pain 4
5
23Age distribution of baseline and follow-up
samples in decades
24Upper body pain distribution
25Laterality
-
- Right only Left
only Both___b - Shoulder 123 (33) 94 (25) 158 (42)
- Upper arm 38 (35) 36 (33) 34 (31)
- Elbow 58 (35) 53 (32) 54 (33)
- Forearm 38 (40) 34 (36) 22 (23)
- Wrists 38 (28) 27 (20) 73 (53)
- Hands 62 (24) 44 (17) 151 (59)
26 Upper axial body pain
27Proximal upper limb pain
28Distal upper limb pain
29Forearm pain and pain in other areas
30Where else do they get pain?
- Head 12/94 (13)
-
- Neck 31/94 (33)
- Upper back 31/94 (33)
- Left shoulder 36/94 (38)
- Right shoulder 36/94 (38)
31Where else do they get pain?
- Left upper arm 32/94 (34)
- Right upper arm 23/94 (24)
- Left elbow 37/94 (39)
- Right elbow 31/94 (33)
- Left wrist 29/94 (31)
- Right wrist 31/94 (33)
- Left hand 33/94 (35)
- Right hand 34/94 (36)
32Prevalence of elbow and forearm pain by
occupation (working pop.1,367)
- Managers and senior officials 15/223 (7)
- Professional occupations 11/211 (5)
- Associate professional technical
- occupations 13/189 (7)
- Administrative and secretarial
- occupations 17/233 (7)
- Skilled trades occupations 10/141 (7)
- Personal services occupations 7/118 (6)
- Sales and customer service occupations
7/84 (8) - Process, plant and machine operatives 7/64
(11) - Elementary occupations 11/104 (11)
33Relationship between upper body pain locations
34Forearm pain presence and its relationship with
other variables
35Associated upper limb pain
- Forearm
- Wrist
- Elbow
- Upper arm
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37Associated upper limb pain
- Forearm
- Wrist
- Elbow
- Upper arm
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39Factors predicting recovery improvement
40Factors influencing recovery/improvement of
associated upper limb pain
41Predictors of new onset associated upper limb
pain
42Caveat
- Follow up analyses based on paired responses from
251 people - Less than expected because of changes within
general practice in research bureaucracy
43Summary I
- Isolated forearm pain rare
- Strongly associated with elbow pain, then upper
arm and wrist pain - Forearm pain presence influenced most by pain in
other areas
44Summary II
- Prognosis is good
- Three quarters of chronic forearm pain recovers
over 2 years - Half of distal upper limb pain recovers in 2
years - Only predictor of new onset forearm pain was high
pain intensity elsewhere at baseline
45Summary III
- Little laterality in forearm pain
- Some for associated upper limb pain
- If occupational expect more problems R arm
- No data on dominant hand
- Occupation not associated with forearm pain
- Not obviously related to keyboards
46Implications
- Forearm pain prevalence is low and strongly
associated with pain elsewhere - Not very useful as an individual diagnostic
category in epidemiological surveys
47Conclusions I
- In the community, forearm pain is not a big issue
- Attention to forearm pain in the workplace is
disproportionate to its overall health impact
48Conclusions II
- Isolated long term forearm pain is a rare
- 0.8 of forearms affected in both surveys
- Mainly part of multi-site pain problem
- Strongly associated with other pain
- Strongest predictor of onset other pains
- Isolated treatment and management is unlikely to
be satisfactory