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Work organization characteristics and MSD: the French Pays de la Loire study

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Work organization characteristics and MSDs: the French Pays de la Loire study

Julie Bodin

1

, Ronan Garlantézec

2,3

, Sandrine Caroly

4

, Alexis Descatha

5

, Yves Roquelaure

1,6

1. LUNAM University, University of Angers, Laboratory of ergonomics and epidemiology in occupational health (LEEST), Angers, France 2. IRSET INSERM U1085, University Rennes I, Rennes, France

3. EHESP, School of public Heatlh, Rennes, France 4. PACTE University Grenoble Alpes France

5. Inserm UVSQ, UMS 011, “Population-Based Epidemiological Cohorts” Research Unit, F-94807, Villejuif, France 6. CHU Angers, Angers, France

(2)

2 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 2

Context

 Organizational practices (job rotation, just-in-time, quality circles, etc.) introduced in companies since the 1980s

To improve productivity

To respond to the changing world of work (more choice of supply, more demanding customers, increased competition, etc.)

Musculoskeletal disorders (MSDs) from the 1980s

1

st

cause of occupational disease in France: 87% (44680 cases) in 2013

 Several European studies have identified patterns of work organization from large surveys (Amossé et al., 2008 ; Bunel et al., 2008 ; Valeyre et al., 2009)

Patterns of work organization vary between studies

Few have investigated MSDs or only by questionnaire

(3)

Objectives

 To identify patterns of work organization characteristics and to study their associations with MSDs

 Using the data of the surveillance

program for MSDs in the French Pays

de la Loire region

(4)

4 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 4

Methods: study sample

Baseline: 2002-2005

 Network of 83 occupational physicians (18% of OP of the region)

 3,710 workers randomly selected

Self-administered questionnaire

 Individual factors

 Work-related factors (work organization, biomechanical and psychosocial factors)

Physical examination (Criteria document for evaluating the work-relatedness of MSD (Sluiter et al, 2001)

Follow-up: 2007-2010

Physical examination

(5)

Methods: study sample

• Craftsmen, salesmen and small self-employers (n=16)

• Agriculture sector (n=71)

• Workers with missing values for at least one of the organizational variables (n=382)

3,241 workers studied 3,710 workers randomly selected 2002-2005

2007-2010 1,432 workers with follow-up

Change of company or function in the same company (n=21)

1,411 workers

studied

(6)

6 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 6

Methods: measures

 16 organizational variables (accessed by self-administered questionnaire)

Shift work

Job/task rotation

5 variables measuring the work pace dependent on:

Paced work/automatic rate

Colleagues' work

Quantified targets

Permanent controls or surveillance

Customer demand

Repetitiveness of tasks

8 variables measuring decision latitude assessed on the Job Content Questionnaire (JCQ)

MSDs (diagnosed by occupational physicians)

Recommendations of the Criteria document for the evaluation of work-

related MSDs (Sluiter et al. 2001)

(7)

Methods: statistical analysis

 Two methods used to identify patterns of work organization characteristics

 Multiple correspondence factor analysis (MCA) and hierarchical cluster analysis (HCA)

 Clustering of variables (Chavent et al, 2012) and HCA

 Associations between MSDs and patterns of work organization characteristics

 Adjusted logistic regression models

 Statistical significance: 0.05

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8 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 8

Results

 3,241 workers

 Men: 59%

 Mean age (std): 38.5 (10.4) years

 Blue-collar workers: 43%

 Industry sector:

 Industry: 59%

 Services: 36%

 Construction: 5%

  1,300 companies

(9)

Results

 Clustering of variables and hierarchical cluster analysis (HCA): best results

 5 patterns of work organization characteristics

 Technical/process constraints and weak decision latitude

 Internal/external demand and mean decision latitude

 Weak pace constraints and mean decision latitude

 Internal/external demand and high decision latitude

 Weak pace constraints and high decision latitude

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10 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 10

Results

Technical/process constraints and

weak decision latitude (22%)

Internal/external demand and mean decision

latitude (6%)

Weak pace constraints and

mean decision latitude (19%)

Internal/external demand and high

decision latitude (22%)

Weak pace constraints and

high decision latitude (31%)

Shift work xf

Job/task rotation (≥1 per week) x x x

Work pace dependent on:

Paced work/automatic rate x

Colleagues' work x x x

Quantified targets x x x

Permanent controls/surveillance x x

Customer demand x x

High repetitiveness of tasks x

Decision latitude

Allows own decisions

Agree x x

Totally agree x x

Little decision freedom

Disagree x x

Totally disagree x x

A lot of say

Agree x x

Totally agree x x

Learn new things

Agree x x x

Totally agree x x

Requires creativity

Agree x x x

Totally agree x x

High skill level

Agree x x x

Totally agree x x

Develop own abilities

Agree x x

Totally agree x x

Variety

Agree x x

Totally agree x x

fMore often exposed than the whole sample

(11)

Results: Associations with MSDs

Figure 1: Prevalence of MSDs according to the five patterns of work organization characteristics

Pattern 1:

Technical/process constraints and weak decision latitude

Pattern 2:

Internal/external demand and mean decision latitude

Pattern 3:

Weak pace constraints and mean decision latitude

Pattern 4:

Internal/external demand and high decision latitude

Pattern 5:

Weak pace constraints and high decision latitude 0,0

5,0 10,0 15,0 20,0 25,0

At least one MSD (p=0.003)

Rotator cuff syndrome (p=0.086)

Lateral epicondylitis

(p=0.013)

Carpal tunnel syndrome (p=0.210)

At least one MSD (<0.001)

Rotator cuff syndrome (p=0.025)

%

Pattern 1 Pattern 2 Pattern 3 Pattern 4 Pattern 5

Follow-up Baseline

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12 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 12

Results: Associations with MSDs

Figure 2: Associations between the five patterns of work organization characteristics and MSDs

Pattern 1:

Technical/process constraints and weak decision latitude

Pattern 2:

Internal/external demand and mean decision latitude

Pattern 3:

Weak pace constraints and mean decision latitude

Pattern 4:

Internal/external demand and high decision latitude

Pattern 5:

Weak pace constraints and high decision latitude

0,01,02,03,04,05,0 Pattern 2 Pattern 3 Pattern 4 Pattern 5 Pattern 2 Pattern 3 Pattern 4 Pattern 5 Pattern 2 Pattern 3 Pattern 4 Pattern 5 Pattern 2 Pattern 3 Pattern 4 Pattern 5 Pattern 2 Pattern 3 Pattern 4 Pattern 5 Pattern 2 Pattern 3 Pattern 4 Pattern 5

OR (CI 95%)*

At least one MSD (p=0.005)

Lateral epicondylitis

(p=0.005) Rotator cuff

syndrome (p=0.158)

Carpal tunnel syndrome (p=0.164)

Ref : pattern 1

At least one MSD (p=0.007)

Rotator cuff syndrome (p=0.017)

*Adjusted for sex, age, occupational category and industry sector.

Baseline Follow-up

(13)

Discussion

 Strengths

Organizational variables

Chosen according to the literature

Questions derived from large French surveys

MSDs clinically diagnosed by trained OPs

Clustering of variables

 Limitations

Exposure data self-reported

Worker level and no information available at the company level

No questions about the use of quality standards, self-assessment of the

quality of work, possibility of discussing the work organization, collective

activity, or managerial practices

(14)

14 31st International Congress on Occupational Health

Seoul, May 31 - June 5, 2015 14

Conclusion

 Five patterns of work organization characteristics from sixteen organizational variables

 Workers with technical constraints and weak decision latitude had higher risks of MSDs than workers in other patterns of work organization characteristics

 Perspectives: study the relationships with biomechanical

factors

(15)

Thank you for your

attention

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