Job stress and chronic and widespread musculoskeletal pain: a cross-sectional analysis from the Brazilian Longitudinal Study of Adult Health Musculoskeletal

Individual Work Attitudes and Work Ability

Work capacity depends on many factors, including the age and health status of the employee, but also on personal characteristics and attitudes, such as reduced tolerance of unfavorable working conditions (Work Annoyance, WA), excessive commitment to work (Overcommitment, OC), passion for work (Work Engagement, WE), and social interactions (Social Capital, SC). A total of 1309 workers who underwent a medical examination at work completed questionnaires on work attitudes and assessed their work ability using the Work Ability Score (WAS). The relationship between variables expressing work attitudes and WAS was studied using hierarchical linear regression and moderation analyses. WA is associated with low WAS values; SC is a positive predictor of WAS and moderates the effect of WA on WAS. OC reduces work ability, while Vigor and Dedication, components of WE, have a strong positive effect on work ability. To improve the work ability of employees, employers and managers should improve social relations in the workplace and discourage overcommitment. A positive working environment can increase engagement and avoid triggers of work annoyance.

Job stress and chronic low back pain: incidence, number of episodes, and severity in a 4-year follow-up of the ELSA-Brasil Musculoskeletal cohort

ABSTRACT

We investigated the association between job stress, as assessed by the effort-reward imbalance model, and the incidence of chronic low back pain (CLBP) over a 4-year period. A total of 1733 participants from the ELSA-Brasil Musculoskeletal cohort, who were free from LBP at baseline (2012-2014), were included. Episodes of LBP in the past 30 days, intensity, and the presence of disability were investigated in annual telephone follow-ups (2015-2018). Chronic LBP was defined as episodes of LBP lasting >3 months with at least moderate intensity. We analyzed the incidence of at least one episode of CLBP (yes/no), the number of CLBP episodes (0, 1, ≥2), and CLBP severity/disability (absent, nondisabling, severe/disabling). The association between these outcomes and tertiles of the effort-to-reward ratio, as well as each dimension of the effort-reward imbalance model, was investigated using multinomial logistic and Poisson regression models adjusting for sociodemographic and occupational variables. The cumulative incidence of CLBP over 4 years was 24.8%. High effort-reward imbalance increased the chances of experiencing multiple CLBP episodes and severe/disabling CLBP by 67% (95% confidence interval [CI]: 1.12-2.47) and 70% (95% CI: 1.14-2.53), respectively. High overcommitment increased the incidence of CLBP by 23% (95% CI: 1.01-1.50) and the chances of multiple CLBP episodes and severe/disabling CLBP by 67% (95% CI: 1.11-2.50) and 57% (95% CI: 1.05-2.34), respectively. These results indicate that exposure to job stress is associated with a higher incidence, a greater number of episodes, and increased severity of CLBP over a 4-year period. If this association is causal, measures aimed at reducing exposure to job stress are likely to alleviate the burden of CLBP.

Effort-Reward Imbalance and Its Association with Musculoskeletal Pain among Information Technology Professionals

Context

Psychosocial factors at the workplace play a significant role in the development of work stress and are associated with cardiovascular diseases, diabetes mellitus, and musculoskeletal disorders. Imbalance due to high effort and low reward at the workplace among information technology (IT) professionals can lead to work stress.

Aim

To assess the effort-reward imbalance (ERI) among IT professionals and its association with musculoskeletal pain.

Settings and Design

A cross-sectional study was conducted among 200 IT professionals to assess their work-related stress and musculoskeletal pain.

Methods and Material

A short version of the ERI questionnaire and Nordic musculoskeletal questionnaire was used. Along with the ERI questionnaire, the details on sociodemographic profile, chronic diseases, and substance abuses were ascertained.

Result

Among the study population, the prevalence of musculoskeletal pain in any part of the body was 77% in the past one year. Effort-reward imbalance was present in 72% of the study population, and linear regression showed a significant correlation between the effort-reward component with the severity of musculoskeletal score (r = 0.725 P < 0.001). Odds ratio of ERI for musculoskeletal pain was 3.2, 95% CI (2.1-4.7), P < 0.01.

Conclusions

Psychosocial factors at work assessed through ERI appeared to be an important component in the development of musculoskeletal pain among IT professionals.