scholarly journals Musculoskeletal Symptoms and Related Factors in Post Acute COVID‐19 Patients

2021 ◽  
Author(s):  
İsmail Güneş Gökmen ◽  
Burcu Ortanca ◽  
Anıl Uçan ◽  
Şebnem Eker Güvenç ◽  
Fezan Şahin Mutlu ◽  
...  
Keyword(s):  
Musculoskeletal Symptoms ◽  
Related Factors

Musculoskeletal Symptoms and Related Factors of Golf Caddies

2004 ◽  
Vol 16 (1) ◽  
pp. 92 ◽  
Author(s):  
Kyung Hwa Heo ◽  
Young Sun Han ◽  
Hye Sun Jung ◽  
Jung Wan Koo
Keyword(s):  
Musculoskeletal Symptoms ◽  
Related Factors

scholarly journals Musculoskeletal Symptoms among Stone, Sand and Gravel Mine Workers and Associations with Sociodemographic and Job-Related Factors

2020 ◽  
Vol 17 (10) ◽  
pp. 3512 ◽  
Author(s):  
Abdulrazak O. Balogun ◽  
Todd D. Smith
Keyword(s):  
United States ◽  
The United States ◽  
Hazard Identification ◽  
Musculoskeletal Symptoms ◽  
Low Back ◽  
Mining Operations ◽  
Related Factors ◽  
Cross Sectional ◽  
Gravel Mining ◽  
Sand And Gravel

Stone, sand and gravel mining (SSGM) constitutes the vast majority of mining operations in the United States. Despite musculoskeletal disorders being one of the most common occupational health problems across several industries, limited research has examined the extent of reported musculoskeletal symptoms or disorders among actively employed SSGM workers. To address this knowledge gap, cross sectional data were collected from 459 SSGM workers in the Midwestern United States to determine the prevalence of musculoskeletal symptoms. Sociodemographic and job-related factors were examined to identify possible risk factors in SSGM. Musculoskeletal symptoms of the low back (57%), neck (38%), shoulder (38%) and knee (39%) were highly prevalent among SSGM employees. The results, among other findings, showed that working more than 60 h a week increased the likelihood of musculoskeletal symptoms at the low back (OR: 4.7 95% CI: 1.9–11.5), neck (OR: 5.1, 95% CI: 2.2–11.8) and knee (OR: 4.5, 95% CI: 2.0–10.3). Working as a mechanic/maintenance worker increased the likelihood of low back (OR: 2.1, 95% CI: 1.1–4.2) and knee (OR: 2.2, 95% CI: 1.1–4.6) musculoskeletal symptoms. Intervention measures aimed at improving ergonomic hazard identification for various job tasks as well as administrative controls limiting hours worked may help reduce the burden of musculoskeletal problems in the SSGM industry.

scholarly journals Musculoskeletal symptoms in formal and informal caregivers of elderly people

2022 ◽  
Vol 75 (2) ◽  
Author(s):  
Leandro Corrêa Figueiredo ◽  
Aline Cristina Martins Gratão ◽  
Gustavo Carrijo Barbosa ◽  
Diana Quirino Monteiro ◽  
Lucas Nogueira de Carvalho Pelegrini ◽  
...  
Keyword(s):  
Elderly People ◽  
Informal Caregivers ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Musculoskeletal Symptoms ◽  
Related Factors ◽  
Cross Sectional ◽  
Informal Group ◽  
Work Related ◽  
Self Reporting Questionnaire

ABSTRACT Objective: to evaluate musculoskeletal symptoms in formal and informal caregivers of elderly people, and check association with personal and work-related factors. Methods: this is a cross-sectional study. Instruments for assessment were the International Physical Activity Questionnaire, Self-Reporting Questionnaire-20, Borg’s effort perception scale and Nordic Musculoskeletal Questionnaire. Results: informal caregivers had been working for a longer time (60.2% vs. 41%), had more hours of work (37.4% >12h for day), less time off (85.4% vs. 2.5%) and lack of care guidelines (90.2%). The region with the most musculoskeletal symptoms was the spine and the greater dependence of the elderly, the greater the chances of developing musculoskeletal symptoms (OR= 1.3, 95% CI= 1.1-1.6, p <0.05). Conclusion: personal and work-related factors were more prevalent in informal group and the elderly person’s dependence interferes with the increase in musculoskeletal symptoms of caregivers.

scholarly journals Predictors of work-related musculoskeletal symptoms in shoulders among nursing assistants working in nursing homes

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11152
Author(s):  
Kin Cheung ◽  
Ka Yan Ma ◽  
Hin Hei Cheung ◽  
Chun Ho Lee ◽  
In Mink Mavis Chan ◽  
...  
Keyword(s):  
Nursing Homes ◽  
Health Workers ◽  
Physical Exertion ◽  
Nursing Assistants ◽  
Musculoskeletal Symptoms ◽  
Bivariate Analysis ◽  
Body Parts ◽  
Related Factors ◽  
Cross Sectional ◽  
Work Related

Nursing assistants (NAs) working in nursing homes (NHs) are at higher risk for work-related musculoskeletal symptoms (WRMSs) than their counterparts working in other health care settings. Worldwide, NAs have ranked shoulders in the top three body parts at risk of WRMSs. However, factors associated with their shoulder WRMSs are currently unknown. The aim of this study was to identify these associated risk factors among NAs working in NHs. 440 NAs from 47 nursing homes (with 60–90% response rate from each nursing home), recruited by convenience sampling, participated in this cross-sectional study in 2014–2015. A validated and reliable questionnaire was used for data collection. Information on demographic, job content questionnaire (JCQ), perceived physical exertion (PE), workstyle, ergonomic and manual handling knowledge and other work-related factors was collected using a self-administered questionnaire. 53% of the participants reported experiencing with WRMSs in their shoulders. Nine associated factors of shoulder WRMSs were identified using bivariate analysis. With the adjustment of age and gender using multivariable logistic regression, body mass index (OR = .931, 95% CI [.874–.991]), job title of health workers (OR = 2.72, 95% CI [1.18–6.25]) and workstyle-working through pain (OR = 1.06, 95% CI [1.01–1.11]) remained as predictors. Effort should be directed at integrating “workstyle intervention” into lifestyle physical activity training for NAs.

Exploring the musculoskeletal problems and associated risk-factors among brick kiln workers

2018 ◽  
Vol 11 (6) ◽  
pp. 395-410 ◽  
Author(s):  
Manoj Kumar Sain ◽  
M.L. Meena
Keyword(s):  
Risk Factors ◽  
Musculoskeletal Symptoms ◽  
Entire Body ◽  
Brick Kiln ◽  
Related Factors ◽  
Content Type ◽  
Body Regions ◽  
Lower Back ◽  
Musculoskeletal Problems ◽  
Associated Risk Factors

Purpose Prolonged working in repetitive and awkward postures can result in musculoskeletal disorders among workers involved in labour-intensive jobs like those of brick kiln workers. Unlike other labour-intensive sectors, workers in this particular sector have a lack of awareness about musculoskeletal problems. Therefore, the purpose of this paper is to explore musculoskeletal issues and associated risk-factors among brick kiln workers. Design/methodology/approach A questionnaire survey was conducted among 217 male and 111 female workers aged between 17 and 53 years. They were employed in traditional brick kiln units situated in Rajasthan, India. Postures were analysed by Rapid Upper Limb Assessment and Rapid Entire Body Assessment methods. Binary logistic regression was used to find the association between musculoskeletal problems and risk-factors. Findings For the mould evacuating task, wrist (76.2 per cent) and lower back (56 per cent) issues were the most frequently reported musculoskeletal problems, while in spading task, lower back (62.4 per cent) and shoulder (57.7 per cent) problems were prominent. Musculoskeletal symptoms in one or more body regions were associated with personal and work-related factors including the type of task and experience. Research limitations/implications Kiln workers are exposed to high musculoskeletal and postural risks, particularly in spading and mould filling tasks. To reduce these risks, ergonomic interventions are needed. Originality/value It is recognised that the musculoskeletal health of brick kiln workers is a cause for concern. The present study provides the evidence of the prevalence of musculoskeletal symptoms experienced by brick kiln workers and the association of symptoms with various risk-factors, which has not been addressed in previous studies.

scholarly journals Prevalence of musculoskeletal symptoms in blue-collar workers: association with individual and lifestyle-related factors

2019 ◽  
Vol 3 (3) ◽  
pp. 1-10
Author(s):  
Isabel Moreira-Silva ◽  
Joana Azevedo ◽  
Sandra Rodrigues ◽  
Nuno Ventura ◽  
Aderito Seixas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Blue Collar ◽  
Sitting Time ◽  
Musculoskeletal Symptoms ◽  
Low Back ◽  
Related Factors ◽  
Blue Collar Workers ◽  
Body Regions

This study aimed to investigate the 12-month and 7-day prevalence of musculoskeletal symptoms in different body regions and its association with individual (age, gender and BMI) and lifestyle-related (physical activity level and sitting time) factors among blue-collar workers of a Portuguese manufacturing company. One hundred and thirty-six blue-collar workers participated in the study. Musculoskeletal symptoms were assessed with the Nordic Musculoskeletal Questionnaire, and physical activity level and sitting time were assessed with IPAQ-Short Version. The 12-month prevalence was higher in the low back (56.6%), followed by the wrist/hand (50%), the shoulder (45.6%) and the neck (44.9%). In the last 7 days, the four most affected body regions were: the low back region (25%), the shoulders (20.6%) and the neck and wrist/hands (19.9%). Regarding individual factors, significant associations were found between age and the prevalence of musculoskeletal symptoms in the shoulder (p=0.034), elbow (p=0.033), wrist/hand (p=0.030), thigh/hip (p=0.008), neck (p=0.010) and the low back region (p=0.045), with the older workers reporting higher prevalence of musculoskeletal symptoms. Also, women reported a significant higher prevalence of musculoskeletal symptoms in the neck than men (p=0.025). Overweight and obese workers had a significantly higher prevalence of symptoms in the shoulder (p=0.003), wrist/hands (p=0.030) and neck (p=0.033). Regarding lifestyle-related factors, no significant associations were found between physical activity level or sitting time (p>0.05) and the prevalence of musculoskeletal symptoms in any of the body regions. To conclude, blue-collar workers have a high prevalence of musculoskeletal symptoms. Individual factors like age, gender and BMI seem to influence the prevalence of musculoskeletal symptoms in different body regions, but lifestyle-related factors such as the physical activity level and sitting time seem not to be associated with the prevalence of musculoskeletal symptoms in studied sample. The results emphasize the need of workplace interventions to prevent musculoskeletal symptoms in this population.

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