Evidence map›Paper›PMID 38589843›Full record

ArticleBMC musculoskeletal disorders2024

Incidence of sick leave and disability pension in adults with musculoskeletal pain and co-occurring long-term conditions: data from the Norwegian HUNT study and national registries.

Anna Marcuzzi, Paul Jarle Mork, Lene Aasdahl, Eivind Skarpsno, Karoline Moe, Tom Ivar Lund Nilsen

Abstract read
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In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anna MarcuzziDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. anna.marcuzzi@ntnu.no.
Paul Jarle MorkDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Lene AasdahlDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Eivind SkarpsnoDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Karoline MoeDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Tom Ivar Lund NilsenDepartment of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

EkstraStiftelsen Helse og Rehabilitering (Stiftelsen Dam) ​​2022/FO387176
6 · The paper itself

Abstract

backgroundMusculoskeletal pain is one of the leading causes of work productivity loss. Long-term conditions (LTCs) commonly occur alongside musculoskeletal pain. However, the incidence of sick leave and disability pension according to LTC status in people with musculoskeletal pain has not been previously described.

methodsWorking-age participants (20-65 years) with persistent musculoskeletal pain who participated in the HUNT3 Study (1995-97) were included. Twenty-five LTCs were classified into 8 LTC groups according to the International Classification of Diseases version 11. Data on sickness and disability benefits were obtained from the National Insurance Database and linked to the HUNT3 data using participants' personal identification number. Age-adjusted incidence rates (IRs) (per 10,000 person-years) and hazard ratios (HRs) of sick leave during 5-year follow-up and disability pension during ~ 25-year follow-up were estimated with 95% confidence intervals (CIs) and presented according to LTC status.

resultsOverall, 11,080 participants with musculoskeletal pain were included. Of those, 32% reported one LTC and 45% reported ≥ 2 LTCs. During the follow up period, 1,312 participants (12%) received disability pension due to musculoskeletal conditions. The IR of sick leave and disability pension due to musculoskeletal conditions increased with number of LTCs. Specifically, the IR of sick leave was 720 (95% CI 672 to 768) in participants without any LTCs and 968 (95% CI 927 to 1,009) if they had ≥ 2 LTCs. The IRs of disability pension were 87 (95% CI 75 to 98) and 167 (95% CI 154 to 179) among those with no LTCs and ≥ 2 LTCs, respectively. The incidence of sick leave and disability pension due to musculoskeletal conditions was largely similar across LTCs, although the incidence of disability pension was somewhat higher among people with sleep disorders (IR: 223, 95% CI 194 to 252).

conclusionsAmong people with persistent musculoskeletal pain, the incidence of prematurely leaving the work force due to musculoskeletal conditions was twice as high for those with multiple LTCs compared to those without any LTCs. This was largely irrespective of the type of LTC, indicating that the number of LTCs are an important feature when evaluating work participation among people with musculoskeletal pain.

Indexed as

Musculoskeletal PainAdultAgedHumansIncidenceMiddle AgedPensionsRegistriesSick LeaveSwedenYoung AdultMultimorbidityMusculoskeletal painSick leaveWork disability

Identifiers

PMID38589843
PMCPMC11003184

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.