scholarly journals Risk factors associated with musculoskeletal symptoms in Korean dental practitioners

2016 ◽  
Vol 28 (1) ◽  
pp. 56-62 ◽  
Author(s):  
KiHun Cho ◽  
Hwi-young Cho ◽  
Gyeong-Soon Han
Keyword(s):  
Risk Factors ◽  
Musculoskeletal Symptoms ◽  
Factors Associated ◽  
Dental Practitioners

Physical and Psychosocial Work-related Risk Factors Associated with Musculoskeletal Symptoms among Home Care Personnel

1998 ◽  
Vol 12 (2) ◽  
pp. 104-110 ◽  
Author(s):  
Christine Brulin ◽  
Björn Gerdle ◽  
Brittmarie Granlund ◽  
Jonas Höög ◽  
Anders Knutson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Home Care ◽  
Musculoskeletal Symptoms ◽  
Psychosocial Work ◽  
Factors Associated ◽  
Work Related ◽  
Related Risk

Early-stage breast cancer (BC) patients: Factors associated with aromatase inhibitor-induced musculoskeletal symptoms.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 525-525
Author(s):  
Simran Arora Elder ◽  
Yamin Sun ◽  
Seungyoun Jung ◽  
Candace Bavette Mainor ◽  
Shruti Murali ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Aromatase Inhibitor ◽  
Early Stage ◽  
Musculoskeletal Symptoms ◽  
Comprehensive Cancer Center ◽  
Cancer Center ◽  
Tumor Characteristics ◽  
Factors Associated ◽  
The Mean

525 Background: Hormone receptor positive (HR+) breast cancer comprises the largest subgroup of breast cancer. Aromatase Inhibitors (AI) are a key treatment for HR+ BC patients (pts) and reduce mortality. Aromatase Inhibitor-Associated Musculoskeletal Symptoms (AIMSS), defined as myalgias, arthralgias, or joint stiffness, occur in up to 50% of pts leading to low adherence to and often discontinuation of therapy. Little is known of the mechanism of AIMSS or its predisposing risk factors. This study aims to identify risk factors associated with AIMSS development in BC patients on AI therapy. Methods: We conducted a medical record review of pts with non-metastatic HR+ BC on adjuvant AI therapy between January 2009 and June 2017 at the University of Maryland Comprehensive Cancer Center. This study included 194 ptswho were free of arthralgia prior to AI therapy. We analyzed pts’ demographics, lifestyle factors, reproductive history, tumor characteristics, medications, cancer treatment, co-morbidities, AI type, onset and severity of AIMSS. Severe AIMSS was defined as requiring change in AI therapy or discontinuation. Multivariable-adjusted logistic regression was used to identify risk factors for severe AIMSS. Results: The mean age of participants was 61. The mean BMI at diagnosis was 30 kg/m2. 41% of pts were White, 40% were Black, 7% other and 12% unknown. Most (79%) did not have a history of tamoxifen and 16% were on GnRH agonists. Most (71%) used letrozole as initial AI therapy; 18% anastrozole; and 11% exemestane. 56% experienced AIMSS while on AI therapy and 20% required change or hold of AI therapy. 4% permanently discontinued AI due to AIMSS severity. BMI at diagnosis was significantly positively associated with risk of AIMSS. Multivariate odds ratio (95% confidence intervals) comparing the highest to lowest tertile of body mass index (BMI) at diagnosis was 4.01 (1.07-10.90; Ptrend: 0.05). There were no significant associations with race, smoking, reproductive factors, type of AI therapy, tamoxifen use prior to AI therapy, medication use, experience of other cancer treatments, and tumor characteristics. Conclusions: 56% of BC pts on adjuvant AI therapy experienced AIMSS. 24% of these changed, held or discontinued AI regimen due to severe AIMSS. Higher BMI at diagnosis was associated with a higher risk of AIMSS. Our results confirm clinical significance of AIMSS among BC pts on AI therapy and suggest BMI as a modifiable factor for AIMSS. A larger study is warranted to replicate our findings and seek other possible risk factors for AIMSS.

Upper extremity musculoskeletal symptoms among Iranian hand-woven shoe workers

Work ◽  
2020 ◽  
Vol 67 (1) ◽  
pp. 129-139
Author(s):  
Hemmat Veisi ◽  
Alireza Choobineh ◽  
Haleh Ghaem ◽  
Mehdi Faraji Kujerdi ◽  
Ramin Barazandeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Upper Extremity ◽  
Working Conditions ◽  
Working Hours ◽  
Cross Sectional Study ◽  
Musculoskeletal Symptoms ◽  
Cross Sectional ◽  
Factors Associated ◽  
Multiple Logistic Regression Modeling ◽  
Shoe Workers

BACKGROUND: Studies have demonstrated that upper extremity musculoskeletal disorders (UEMSDs) are highly prevalent among weavers. In Iran, little information is available regarding the prevalence of MSDs and their causal risk factors among hand-woven shoe workers. This cross-sectional study aimed to determine the prevalence of UEMSDs and to identify risk factors associated with UEMSDs symptoms among 586 Iranian hand-woven shoe workers. METHODS: The data were collected using the Nordic Musculoskeletal Questionnaire and by direct observation of working postures via the Rapid Upper Limb Assessment (RULA) technique to determine ergonomic risks. RESULTS: The prevalence of MSDs symptoms was high among the hand-woven shoe workers. The mean RULA grand score of 6.3 indicated that in most cases the workers’ postures at their workstations needs to be investigated and changed immediately to prevent musculoskeletal injuries. The highest prevalence rates of MSDs were observed in the shoulders, wrists and arms. The result of multiple logistic regression modeling showed that risk factors associated with UEMSD symptoms were job experience, daily working hours, job satisfaction, working posture, work pressure, and discomfort at workstation, as well as individual factors, such as age, gender, BMI, material status, working conditions, education level, and lack of regular sport/physical activities. CONCLUSIONS: The findings of the present study emphasize that any interventional program in this industry has to focus on improving working conditions particularly by designing ergonomics-oriented workstations and hand tools.

Risk factors associated with substance use

2014 ◽  
Author(s):  
Ariel M. Barber ◽  
Alexandra Crouch ◽  
Stephen Campbell
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Factors Associated
Sign in / Sign up

Export Citation Format

Share Document