Musculoskeletal pain in the Netherlands: prevalences, consequences and risk groups, the DMC3-study
Abstract
The objective of this paper was to present estimates on the prevalence of musculoskeletal pain of five different anatomical areas and ten anatomical sites, and their consequences and risk groups in the general Dutch population. Cross-sectional data from a population-based study of a sex-age stratified sample of Dutch inhabitants of 25 years and older were used. With a postal questionnaire data was assessed on musculoskeletal pain, additional pain characteristics (location, duration, course), its consequences (utilization of health care, sick leave and limitation in daily life) and general socio-demographic characteristics. The top three of self-reported musculoskeletal pain (point prevalence (P(p)) with 95% confidence interval (CI)) was: (1). low back pain, P(p)=26.9% (95% CI 25.5-28.3); (2). shoulder pain, P(p)=20.9% (95% CI 19.6-22.2); and (3). neck pain, P(p)=20.6% (95% CI 19.3-21.9). In most cases the pain was described as continuous or recurrent and mild. In every three out of ten cases the complaints about pain were accompanied by limitations in daily living. Between 33 and 42% of those with complaints consulted their general practitioner about their pain. With the exception of persons who are work disabled, general sociodemographic characteristics cannot be used to identify high risk groups. Musculoskeletal pain is common in all subgroups of the population and has far-reaching consequences for health, work and the use of health care.
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The influence of CMP on the degree of employee absenteeism and disability allowances is high.
“The influence of CMP on the degree of employee absenteeism and disability allowances is high [1-3].”
From Staying at work with chronic nonspecific musculoskeletal pain: a qualitative study of workers' experiences (2011) · cites this paper as [3]
The majority (60-70%) of workers with CMP stays at work despite pain and without sick leave.
“However, the majority (60-70%) of workers with CMP stays at work despite pain and without sick leave [3-6].”
From Staying at work with chronic nonspecific musculoskeletal pain: a qualitative study of workers' experiences (2011) · cites this paper as [3]
Since workers aged over 45 years more frequently call in sick, the sample still seems to be representative.
“Since workers aged over 45 years more frequently call in sick, our sample still seems to be representative [3,58].”
From Staying at work with chronic nonspecific musculoskeletal pain: a qualitative study of workers' experiences (2011) · cites this paper as [3]
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- Authors
- Picavet, H. S. J., & Schouten, J. S. A. G.
- Affiliations
- National Institute for Public Health and the Environment (NL)
- Corresponding author
- Picavet, H. S.J.
- Venue
- Pain
- Published
- 2003-03
- Volume
- 102
- Issue
- 1
- Pages
- 167-178
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2083094538
- Cited by
- 1,197
- References
- 41
- Citations by year
- 2026: 14 · 2025: 30 · 2024: 28 · 2023: 29 · 2022: 43 · 2021: 59 · 2020: 50 · 2019: 58 · 2018: 43 · 2017: 61 · 2016: 69 · 2015: 62 · 2014: 79 · 2013: 72 · 2012: 67
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Rivm Repository (Netherlands National Institute for Public Health and the Environment) (submittedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Physiology › Pain Mechanisms and Treatments
- Social Sciences › Psychology › Social Psychology › Ergonomics and Musculoskeletal Disorders
- Keywords
- musculoskeletal pain, prevalence, low back pain, shoulder pain, neck pain, health care utilization, sick leave, functional limitations, risk groups, sociodemographic factors, Dutch population
- MeSH terms
- Adult, Aged, Cross-Sectional Studies, Demography, Female, Humans, Male, Middle Aged, Musculoskeletal Diseases, Netherlands, Pain, Pain Measurement, Surveys and Questionnaires, Risk Factors, Sex Factors, Social Class, Time Factors, Cohort Studies, Prevalence, Logistic Models, Odds Ratio
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