Musculoskeletal disorders risk assessment methods: a scoping review from a sex perspective

Arnau, Sonia Serna; Asensio-Cuesta, Sabina; Seder, Rosa Porcar

doi:10.1080/00140139.2023.2168767

Cited by 2 publications

(3 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Firstly, in our sample females and males worked in different industries with females more often working in health care and males more often in manufacturing. As a result, physical work demands may differ between genders, with males having a higher proportion of tasks involving heavy lifting and handling of loads; females more often lift and move people (Serna Arnau et al 2023 ). Even individuals with the same job title may have different physical work demands based on their gender (Guettler 2023 ).…”

Section: Discussionmentioning

confidence: 99%

“…Firstly, we will examine the topic among a broad sample of workers, rather than focusing solely on older workers or those in specific sectors. Secondly, given the gender-specific associations between physical work demands and health outcomes (Badarin et al 2022 ; Cillekens et al 2022 ; Guettler 2023 ; Serna Arnau et al 2023 ), we will also investigate potential gender differences in the association of changes in physical work demands on health. Thirdly, we will assess the association of changes in physical work demands on health within a relatively short time period (6 months) as we hypothesize that changes in physical work demands will result in acute changes in health.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Within-individual changes in physical work demands associated with self-reported health and musculoskeletal symptoms: a cohort study among Dutch workers

Cillekens,

van Eeghen,

Oude Hengel

et al. 2023

Int Arch Occup Environ Health

View full text Add to dashboard Cite

Purpose This study aimed to investigate changes in physical work demands in association with self-rated health and musculoskeletal symptoms. Methods Data from five waves over the period 2019–2021 of the Netherlands Working Conditions Survey COVID-19 were available for 7191 participants aged 19–64 years who worked (partly) on-site during at least two consecutive waves. Logistic generalized estimated equations (GEE) were used to estimate the odds ratios (OR) with 95% confidence interval (CI) for changes (increase or decrease compared to no change) in physical work demands between two waves and poor self-rated health and musculoskeletal symptoms in the following wave, adjusted for the health outcome at the first wave, age, educational level, working hours and hours worked from home. Results In females, a statistically significant association was found between an increase in physical work demands compared to no change and musculoskeletal symptoms (OR 1.39, 95% CI 1.17–1.65). A decrease in physical work demands in females was not statistically significantly associated with musculoskeletal symptoms (OR 0.93, 95% CI 0.80–1.08). Similar trends were found for poor self-rated health, although non-statistically significant. For males, comparable but attenuated associations were found. Conclusion While our study showed that increasing physical work demands are associated with adverse health (self-reported and musculoskeletal), it did not appear to benefit worker’s health to reduce work demands. Future research with multiple measurements in a shorter period and additionally using devices to measure physical work demands will be needed to confirm our study results.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Within-individual changes in physical work demands associated with self-reported health and musculoskeletal symptoms: a cohort study among Dutch workers

Cillekens,

van Eeghen,

Oude Hengel

et al. 2023

Int Arch Occup Environ Health

View full text Add to dashboard Cite

show abstract

“…After eliminating or assessing the severity and frequency of accidents or illnesses that may arise, the level of risk for each hazard that has been identified can then be determined. [10], [19]- [21].…”

Section: Risk Assessmentmentioning

confidence: 99%

Analysis Risk K3 Using JSA and HIRARC Methods Phosphoric Acid Factory on PT. Petrokimia Gresik

Rozikin,

Hidayat,

Rizqi

2024

JTI

View full text Add to dashboard Cite

PT. Petrokimia Gresik is one of the industries that produce fertilisers, non-fertilizers, and other chemicals. PT. Petrokimia Gresik is divided into several departments, including the phosphoric acid factory. This research aims to identify and reduce potential hazards during the production process. This research uses (JSA) method to identify the hazard stage and (HIRARC) method to conduct risk analysis. Based on the risk hazard identification results, each job will be assessed based on severity and likelihood to establish the risk level. The research found that all extreme-risk jobs had 4 risks, high risks had 15 risks, medium risks had 2 risks, and no jobs with low-risk levels were found. The control plan carried out in this study is to control by elimination, engineering, administration, and personal protective equipment (PPE). Keywords: Occupational Health Safety, JSA, HIRARC.

show abstract

Musculoskeletal disorders risk assessment methods: a scoping review from a sex perspective

Cited by 2 publications

References 83 publications

Within-individual changes in physical work demands associated with self-reported health and musculoskeletal symptoms: a cohort study among Dutch workers

Within-individual changes in physical work demands associated with self-reported health and musculoskeletal symptoms: a cohort study among Dutch workers

Analysis Risk K3 Using JSA and HIRARC Methods Phosphoric Acid Factory on PT. Petrokimia Gresik

Contact Info

Product

Resources

About