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. 2014 Oct 17;9(10):e109633. doi: 10.1371/journal.pone.0109633

Does Obesity Modify the Relationship between Exposure to Occupational Factors and Musculoskeletal Pain in Men? Results from the GAZEL Cohort Study

Anastasia Evanoff 1,2,3, Erika L Sabbath 4, Matthieu Carton 1,2, Sebastien Czernichow 1,2,5, Marie Zins 1,2, Annette Leclerc 1,2, Alexis Descatha 1,2,6,*
Editor: C M Schooling7
PMCID: PMC4201453  PMID: 25330397

Abstract

Objective

To analyze relationships between physical occupational exposures, post-retirement shoulder/knee pain, and obesity.

Methods

9 415 male participants (aged 63–73 in 2012) from the French GAZEL cohort answered self-administered questionnaires in 2006 and 2012. Occupational exposures retrospectively assessed in 2006 included arm elevation and squatting (never, <10 years, ≥10 years). “Severe” shoulder and knee pain were defined as ≥5 on an 8-point scale. BMI was self-reported.

Results

Mean BMI was 26.59 kg/m2 +/−3.5 in 2012. Long-term occupational exposure to arm elevation and squatting predicted severe shoulder and knee pain after retirement. Obesity (BMI≥30 kg/m2) was a risk factor for severe shoulder pain (adjusted OR 1.28; 95% CI 1.03, 1.90). Overweight (adjusted OR 1.71; 1.28,2.29) and obesity (adjusted OR 3.21; 1.90,5.41) were risk factors for severe knee pain. In stratified models, associations between long-term squatting and severe knee pain varied by BMI.

Conclusion

Obesity plays a role in relationships between occupational exposures and musculoskeletal pain. Further prospective studies should use BMI in analyses of musculoskeletal pain and occupational factors, and continue to clarify this relationship.

Introduction

Musculoskeletal disorders (MSDs) include a wide range of diseases and injuries that comprise the largest category of work-related illnesses. MSDs are a main cause of disability, especially in aging populations. [1] Many studies have shown that occupational factors such as repeated exposure to arm elevation or squatting in the workplace predict subsequent MSDs in the shoulders and knees. [2][4] Previous analyses have been performed on these joints with a particular focus on associations between long-term biomechanical exposure and incidence of severe pain; consistent associations have been found between repeated exposure to arm elevation or squatting in the workplace and severe shoulder and knee pain. [5], [6] Self-reported symptoms of pain are the most common criterion used to assess the presence of MSDs. [1] Recommendations emphasize the use of instruments such as Nordic-style questionnaires, [7] especially with numeric scales of disability intensity and pain [8].

Obesity has become a worldwide epidemic, affecting over one-third of the adult population in the United States and about 15% in France. [9] Obesity may also be a risk factor for shoulder and knee pain [10][13]; thus, rising obesity rates could partly explain the increasing levels of observed musculoskeletal pain and disability [14].

In addition to being a risk factor for MSDs, recent studies have found that obesity may also be a consequence of occupational exposures, potentially mediating and/or modifying effects of occupational factors on musculoskeletal pain. [15][17] Furthermore, occupational exposures may be risk factors for obesity. [15], [16] Some suggest that obesity may increase mechanical forces on the joints and change the metabolic demands of the body, both of which would lead to higher rates of MSDs. [13], [18] Thus, the nature of the interrelationships between occupational exposures, obesity, and musculoskeletal pain are complex; more research is needed to understand the nature of such relationships.

This study aims to disentangle associations between occupational exposures, obesity, and pain in shoulders and knees. We hypothesized that occupational exposures may be significant contributors to incidence of musculoskeletal pain among overweight and obese patients, and that the relationships may differ for upper and lower limbs.

Methods

Sample

All participants in this study were members of the GAZEL cohort (n = 20 625; 15 010 are men), all employed by the French national power utility (EDF-GDF). [19] Each January, participants receive general questionnaires about lifestyle, health, and occupational status; in 2006 and 2012, questions about pain were included. Few subjects are lost to follow-up, although not all subjects answer the questionnaire every year. The present analysis included men who answered both 2006 and 2012 questionnaires (n = 9 450). For each analysis, we excluded those reporting severe pain in 2006 (n = 1 443 for shoulder, n = 1 408 for knee), to determine the number of new cases (incident cases) that developed by 2012. We also excluded underweight participants (n = 35) and those missing 2006 data on smoking (n = 416), and BMI (n = 246). Thus, our final analytic n = 7310 for shoulder pain and n = 7345 for knee pain. We excluded women because of low prevalence of biomechanical exposures (4.82% exposed to elevated arms, 3.15% to squatting).

Variables

The main outcome variables in this study are severe shoulder and severe knee pain in 2012. Pain was reported on a scale of 1 (lowest pain) to 8 (highest pain). We dichotomized the scale at the midpoint (severe pain ≥5, little to no pain ≤4) based on French convention. [5], [6], [8] Our main exposure variable was lifetime exposure to each of eight physical occupational tasks, retrospectively self-reported in 2006. Participants were asked for how long (never, <10 years, ≥10 years) they were exposed to “working with one or two arms in the air (above the shoulders) regularly or in a prolonged manner” (for shoulder pain analyses) or “working in a squatting position” (for knee pain analyses). BMI (kg/m2) in 2006, using self-reported height and weight, was categorized as normal (≥18.5–<25 kg/m2, overweight (≥25–<30 kg/m2), or obese (≥30 kg/m2). We also included age and current smoking in 2006 (yes/no).

Analysis

We determined the number of incident cases in 2012 by excluding those with severe pain in 2006, and counting only new cases. We modeled associations between occupational factors, BMI, and new shoulder or knee pain in 2012 using logistic regression, estimating odds ratios (OR) and confidence intervals (95% CI). We present results stratified by BMI categories to illustrate the modifying effect of BMI on relationships between occupational factors and pain. Multiplicative interactions were also tested between BMI and occupational factors. All models were adjusted for age and smoking. Stata/MP, version 12.1, was used for all statistical analyses (StataCorp LP, College Station, TX, USA). Associations were considered statistically significant if two-tailed P-values were <0.05.

Authorization from the appropriate ethics committee was obtained (« Comité Consultatif National d’Ethique pour les Sciences de la Vie et de la Santé »; « Commission nationale de l’informatique et des libertés »).

Results

A total of 8 753 men were included, aged 63–73 years old in 2012. Mean (SD) BMI was 26.59 kg/m2 +/−3.5 in 2012.

First, we examined associations between long-term (≥10 years) elevated arms, BMI, and severe shoulder pain. Elevated arm exposure was associated with increased risk of severe shoulder pain (OR 1.33, 95% CI [1.13,1.57] for <10 years, OR 1.61, [1.32,1.97] ≥10 years). When we added BMI, effects of occupational exposure were minimally attenuated to OR 1.31 [1.12,1.55] for <10 years of exposure, and attenuated to OR 1.54 [1.26,1.90] for ≥10 years of exposure. (Table 1). Obesity is also an independent risk factor for shoulder pain; obesity in 2006 associated with 2012 incidence of severe shoulder pain (OR 1.28 [1.03,1.90]). Multiplicative interaction between elevated arms and BMI on severe shoulder pain was non-significant. However, because the interaction between squatting and BMI was statistically significant for knee pain (p = 0.019), we present stratified analyses of both knee and shoulder pain in Table 2.

Table 1. Association between severe musculoskeletal pain (knee and shoulder) and relevant occupational exposure among men without severe pain in the related region in 2006.

Numbers of subjects, cases and % Adjusted Analyses excluding BMI Adjusted Analyses Including BMI
Shoulder Pain in 2012a
Duration of occupational factors (elevated arms) Total (N) Number of cases (n) % Cases OR c 95% CI OR d 95% CI
Never 5013 512 10.21 1 - 1 -
<10 years 1866 250 13.4 1.33 1.13, 1.57 1.31 1.12, 1.55
≥10 years 978 149 15.24 1.61 1.32, 1.97 1.54 1.26, 1.90
BMI
Normal 2762 306 11.08 - - 1 -
Overweight 3841 433 11.27 - - 0.97 0.83, 1.14
Obese 1032 147 14.24 - - 1.28 1.03, 1.90
Knee Pain in 2012 b
Duration of occupational factors (squatting) Total (N) Number of cases (n) n/N (%) OR c 95% CI OR d 95% CI
Never 4707 437 9.28 1 1
<10 years 1938 212 10.94 1.23 1.03, 1.46 1.91 1.23,2.98
≥10 years 1259 165 13.11 1.48 1.22,1.81 3.78 1.64,8.72
BMI
Normal 2811 232 8.25 - - 1 -
Overweight 3885 418 10.76 - - 1.71 1.28, 2.29
Obese 986 139 14.10 - - 3.21 1.90, 5.41
Interaction Term 0.019 0.73, 0.97

% = proportion; OR = odds ratio; 95% CI = 95% confidence interval.

a

excluding those with shoulder pain in 2006,

b

excluding those with knee pain in 2006,

c

adjusted on age and smoking status,

d

adjusted on BMI, gender, age and smoking status.

Table 2. Associations between occupational exposures and musculoskeletal pain, stratified on categories of body mass index (BMI).

Shoulder Pain 2012 andnormal weight in 2006a Shoulder Pain in 2012 andoverweight in 2006a Shoulder Pain 2012 andobese in 2006a
Duration ofelevated arms Total(N) Numberof cases(n) %Cases ORc 95%CI Total(N) Numberof cases(n) %Cases ORc 95%CI Total(N) Numberof cases(n) %Cases ORc 95%CI
Never 1885 182 9.66 1 2399 245 10.21 1 577 72 12.48 1
<10 years 612 83 13.56 1.42 1.07, 1.89 940 115 12.23 1.2 .94, 1.52 277 47 16.97 1.41 .94, 2.12
≥10 years 265 41 15.47 1.7 1.17, 2.47 502 73 14.54 1.54 1.15, 2.04 178 28 15.73 1.34 .83, 2.15
Knee Pain 2012 and normal weight in 2006 b Knee Pain in 2012 and overweight in 2006 b Knee Pain 2012 and obese in 2006 b
Duration of squatting Total (N) Number of cases (n) % Cases OR c 95% CI Total (N) Number of cases (n) % Cases OR c 95% CI Total (N) Number of cases (n) % Cases OR c 95% CI
Never 1778 126 7.09 1 2273 225 9.9 1 517 74 14.31 1
<10 years 642 54 8.41 1.21 .86, 1.70 987 113 11.45 1.22 .96, 1.56 264 37 14.02 0.98 .63, 1.52
≥10 years 391 52 13.3 2.03 1.42, 2.88 625 80 12.8 1.32 .99, 1.76 205 28 13.66 0.99 .61, 1.58

% = proportion; OR = odds ratio; 95% CI = 95% confidence interval.

a

excluding those with shoulder pain in 2006,

b

excluding those with knee pain in 2006,

c

adjusted on age and smoking status.

We next tested relationships between long-term squatting exposure, BMI, and knee pain. We found that squatting was associated with increased risk of severe knee pain (adjusted OR 1.23, 95% CI [1.03,1.46] for <10 years, OR 1.48 [1.22,1.81] ≥10 years). When we added BMI, effects of occupational exposures increased to OR 1.91 [CI 1.23,2.98] for <10 years of exposure, and increased to OR 3.78 [1.64,8.72] for ≥10 years of exposure (Table 1).

Overweight and obesity were also independent risk factors for knee pain; compared with normal-weight individuals, overweight was significantly associated with the incidence of severe knee pain in 2012 (OR 1.71 [1.28,2.29]), as was obesity in 2006 (OR 3.21 [1.90,5.41]). In stratified results for knee pain in 2012, exposure to squatting for ≥10 years in normal-weight individuals significantly predicts knee pain (OR 2.03 [1.42, 2.88]). However in obese and overweight participants, occupational exposure for >10 years is not statistically significantly associated with knee pain (overweight: OR 1.32 [0.99,1.76]; obese: OR 0.99 [0.61,1.58]). For occupational exposure of <10 years, stratified BMI is not significantly associated with knee pain.

Discussion

This study found a complex interplay among overweight and obese patients’ long-term occupational physical exposures and severe pain in the shoulders and knees. As in previous studies, we found that elevated arms or squatting increases risk for shoulder and knee pain respectively, [1][4], [10], that obesity is a significant risk factor for shoulder pain, and that overweight/obesity are significant risk factors for knee pain. [10], [11] However, this study is novel in that we stratified by BMI, further dissecting the relationship between obesity, occupational exposures, and musculoskeletal pain.

We found that, for knee pain, the interaction between BMI and the occupational factor, squatting, was significant. Subjects of normal BMI have increased risk of knee pain when exposed to squatting for greater than 10 years, but obese subjects do not. This is interesting because one would expect obese patients to have an increased risk of knee pain over patients of a normal BMI, due to increased weight and pressure on the knees. One theory is that obese individuals are placed in positions with minimal squatting compared to normal-weight individuals. Of note, new cases of severe shoulder and knee pain seen in our cohort occurred after retirement, demonstrating prolonged negative health effects of obesity and work exposures after exposure cessation.

This study has several limitations. Retirement age in GAZEL is relatively young (55 years), though this should have minimal effects on associations between risk factors and outcomes. [5], [6] We studied men only, although some studies have shown no difference between men and women in this area. [16] Occupational exposures were self-reported, though six years before the outcome measures, making biased reporting of exposure with respect to outcome unlikely. Exposure data (occupational and weight measurements) were relatively crude, though resultant random error likely biases results toward the null. It is outside of the scope of our study to describe trajectories of weight changes and occupational exposures during working years. It is conceivable, for instance, that workers’ jobs became more sedentary as obesity developed, which might explain lack of associations between occupational exposures and severe pain in obese patients. Finally, this preliminary study did not examine other possible risk factors for MSDs, such as diabetes, other medical conditions, physical activity, or socioeconomic status, which may influence associations between occupational factors and BMI and explain some associations (between BMI and exposure for instance). Some strengths of this study are the large sample size and characteristics of GAZEL, including high retention and survey response rates.

This study provides insight on the nature of relationships between occupational factors, obesity, and musculoskeletal pain. We found that, after adjusting for occupational factors, high BMI was associated with lower and upper limb pain, as was also shown in a recently published study that found that BMI was associated with musculoskeletal symptoms. [18] Our study builds on that finding by also considering the role of occupational exposures in this relationship. Although causality cannot be inferred, our findings suggest that obesity might be a moderating factor, as suggested for osteoarthritis recently. [13] Results for obese workers should be interpreted with caution, as such individuals may be placed in jobs that require less squatting, thus lowering risk for musculoskeletal symptoms.

From a practical perspective, these results suggest that musculoskeletal pain among obese and overweight workers might also be a result of working conditions (at least for the shoulder) and should be taken into account by physicians as such. From a research perspective, studies of associations between occupational exposures and specific MSDs would benefit from inclusion of metrics such as levels of obesity or adiposity in order to better explain observed associations.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. Data are proprety of INSERM (French National Research Institute) and UMS011. All Gazel data available on request to Dr M. ZINS, head of the Inserm UMS 011 (http://www.gazel.inserm.fr/en/).

Funding Statement

The GAZEL Cohort Study was funded by EDF-GDF and INSERM and received grants from the “Cohortes Santé TGIR Program” (http://www.iresp.net/appel-a-projet/10-financement-de-cohortes-tres-grandes-infrastructures-de-recherche-2009/). This study is part of the French Agency for Environmental and Occupational Health Safety (Anses, TEMIS project http://www.afssa.fr/ET/PPN0848.htm?pageid=2843&parentid=672&ongletlstid=5553#content). Ms. Evanoff’s contributions were supported by the Dunwalke Fund for International Research by Undergraduates from Harvard College. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The authors confirm that all data underlying the findings are fully available without restriction. Data are proprety of INSERM (French National Research Institute) and UMS011. All Gazel data available on request to Dr M. ZINS, head of the Inserm UMS 011 (http://www.gazel.inserm.fr/en/).


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