ObjectivesMusculoskeletal pain often occurs at multiple sites concurrently. The aim of this study was to examine the associations between multi-site pain and self-rated work ability and retirement plans among actively working people.MethodsThe Health 2000 Survey was carried among a representative sample of Finnish adults. Musculoskeletal pain during the preceding month in the lower back, neck or shoulders, upper extremities, hips and lower extremities, and work ability and intentions to retire early were assessed. Subjects were also clinically examined. Analyses were restricted to 30–64-year-old subjects actively working during the preceding 12 months who provided information on work ability outcomes (population-weighted number of subjects=4087). Log-binomial regression was used to estimate prevalence ratios of reduced work ability.ResultsSingle-site pain was reported by 33% of subjects, 20%, 9% and 4% reported pain in two, three and four sites, respectively, and 8%–15% reported poor work ability. Every fifth person had thought about retiring early. Age- and gender-adjusted risks of poor physical work ability and own prognosis of poor future work ability increased from 2 for single-site pain to 8 for pain at four sites. Risks remained considerably elevated after adjustment for various covariates, including clinical musculoskeletal disorders and functional capacity. Poor current work ability was most affected by multi-site pain at older age (50–64 years) and intentions to retire early at age 40–49 years.ConclusionsCo-occurring pain is a considerable threat to work ability. Workers with multi-site pain may benefit from targeted preventive measures to sustain their work ability. Future studies should also consider multi-site pain as an important risk factor for reduced work ability.

The intervention did not reduce perceived physical work load and no evidence was found for the efficacy of the intervention in preventing musculoskeletal disorders among kitchen workers. It may be that a more comprehensive redesign of work organisation and processes is needed, taking more account of workers' physical and mental resources.

We studied the number of musculoskeletal pain sites as a predictor of sickness absence during a 7-year follow-up among a nationally representative sample (the Health 2000 survey) of occupationally active Finns 30 to 55years of age (3420 subjects who did not retire or die during the follow-up). Baseline data (questionnaire, interview, clinical examination by a physician) were gathered in 2000 to 2001 and linked with information from national registers on annual compensated sickness absence periods (⩾10workdays) covering the years 2002 to 2008. Pain during the preceding month in 18 body locations was inquired and combined into 4 sites (neck, upper limbs, low back, lower limbs). Demographic factors, BMI, smoking, leisure-time physical activity, sleep disorders, physical and psychosocial workload, and chronic diseases were assessed. Four distinct sickness absence trajectories emerged, labeled as Low (59% of the subjects), Ascending (21%), Mixed (11%), and High (9%). In multinomial logistic regression, the odds ratios (ORs) for belonging to the High vs. the Low trajectory increased with the number of pain sites, being 2.1 for single-site pain, 2.6 for 2 pain sites, 2.9 for 3 pain sites, and 4.1 for 4 pain sites, after adjustment for chronic diseases, demographic and lifestyle factors, and workload. The confidence intervals of the ORs did not include unity. The adjusted ORs for belonging to the Ascending trajectory were 1.1, 1.3, 1.7, and 1.7, respectively. As the number of pain sites was a strong independent predictor of work absenteeism, early screening of workers with multisite pain and interventions to support work ability seem warranted.

Widespread co-occurrence of musculoskeletal pain symptoms was common among female kitchen workers with slight predominance in the upper body.

The results emphasise the importance of high physical workload, low to moderate physical activity and obesity as potential modifiable risk factors for the occurrence and course of MSP over time.

Among 385 female kitchen workers, we examined (1) whether mental stress and psychosocial factors at work (job control, skill discretion, supervisor support, co-worker relationships, and hurry) predict multiple-site musculoskeletal pain (MSP; defined as pain at ≥ 3 of seven sites) and (2) reversedly, whether MSP predicts these psychosocial factors. Data were collected by questionnaire at 3-month intervals during 2 years. Trajectory analysis was applied. Four trajectories of MSP prevalence emerged: Low, Descending, Ascending, and High. For the psychosocial factors, a two-trajectory model (Ascending or High vs. Low) yielded the best fit. In logistic regression analysis, with the Low MSP trajectory as reference, poor co-worker relationships (odds ratio [OR] 3.9), mental stress (3.1) and hurry (2.1) at baseline predicted belonging to the High MSP trajectory. Also MSP at baseline predicted the trajectories (Ascending vs. Low) of low job control (2.2) and mental stress (3.2). Adverse changes in most psychosocial factors were associated with belonging to the High (ORs between 2.3 and 8.6) and Ascending (2.7-5.5) MSP trajectories. In generalized estimating equations, time-lagged by 3 months, all psychosocial factors but two predicted MSP (1.4-2.1), allowing, e.g. for MSP at baseline, and vice versa, MSP predicted low job control, low supervisor support, and mental stress (1.4-2.0), after adjustment for e.g. the relevant psychosocial factor at baseline. In conclusion, we found that several psychosocial factors predicted MSP and that MSP predicted several psychosocial factors. The results suggest a cumulative process in which adverse psychosocial factors and MSP influence each other.

No favourable effects on psychosocial factors at work were found. The adverse changes were due to a joint effect of the intervention and the unconnected organisational reforms. The findings do not support the usefulness of this kind of intervention in changing unsatisfactory psychosocial working conditions.

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens by Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P We identified three distinct trajectories of sickness absence (SA) due to musculoskeletal pain among female kitchen workers during two years. Depressive symptoms, musculoskeletal diseases, and multisite pain predicted belonging to a trajectory of high and increasing SA, while multisite pain, smoking, and overweight or obesity predicted belonging to a trajectory of intermediate occurrence of SA. Original article Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P. Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens. Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 AffiliationObjective We studied predictors of sickness absences (SA) due to musculoskeletal pain over two years among 386 municipal female kitchen workers.Methods Pain and SA periods (no/yes) due to pain in seven sites during the past three months were assessed at 3-month intervals over two years by questionnaire. Age, musculoskeletal pain, multisite pain (pain in ≥3 sites), musculoskeletal and other somatic diseases, depressive symptoms, physical and psychosocial workload, body mass index, smoking, and leisure-time physical activity (LTPA) at baseline were considered as predictors. Trajectory analysis and multinomial logistic regression were used.Results Three trajectories of SA emerged, labelled as "none" (41% of the subjects), "intermediate" (48%), and "high" (11%). With the "none" trajectory (no SA) as reference, pain in all musculoskeletal sites excepting the low back predicted belonging to the "intermediate" [odds ratio (OR) 1.82-2.48] or "high" (OR 2.56-3.74) trajectory adjusted for age; multisite pain predicted membership of the "intermediate" [OR 2.15, 95% confidence interval (95% CI) 1.38-3.34] or "high" (OR 4.66, 95% CI 2.10-10.3) trajectories. In a mutually adjusted final model, smoking (OR 2.12, 95% CI 1.22-3.69), multisite pain (OR 1.87, 95% CI 1.15-3.02), and overweight/obesity (OR 1.71, 95% CI 1.08-2.72) predicted belonging to the "intermediate" trajectory, while depressive symptoms (OR 3.57, 95% CI 1.57-8.10), musculoskeletal diseases (OR 3.18, 95% CI 1.37-7.37), and multisite pain (OR 2.72, 95% CI 1.15-6.40) were associated with the "high" trajectory. ConclusionAlong with the number of pain sites and musculoskeletal diseases, attention to depressive symptoms, smoking, and overweight/obesity is needed to tackle SA related to musculoskeletal pain.