Musculoskeletal disorders problems and its relation to age, working periods, and smoking habit among fishermen.

OBJECTIVE: In this study, we conducted a research to determine the relationship between ages, working period, and smoking habit with the musculoskeletal disorder in fishermen. METHOD: This type of research is analytic survey research with a cross-sectional study. The population in this study totaled 224 people with 56 samples as respondents. Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) were used as a questionnaire instrument. RESULTS: The result showed that the age variable has p=0.658 and the smoking habit has p=1.000, this indicates that age and smoking habit variables do not have a significant relationship with musculoskeletal disorders. Meanwhile, the working period variable has a result of p=0.015, it can be said that the work period has a significant relationship with musculoskeletal disorders. CONCLUSION: The respondents who were quite old were still fit for work and did not have as many musculoskeletal complaints as they should be for their age. Likewise with the smoking habit of fishermen who are more enthusiastic and motivated to work. Meanwhile, the work period has more influence on the complaints of musculoskeletal disorders among fishermen.

Trend analysis and projection of work accidents cases based on work shifts, workers age, and accident types.

OBJECTIVE: To assess the case of work accidents during period (2009-2022) based on work shifts, workers age, and accident types. METHOD: The study design was a time series design with data on work accidents at the company period 2009-2015 as the population. RESULTS: The variable work shift in 2009-2015 was dominated by work accidents on morning shift and night shift of 0.47%. After a projection, it was found that work accidents occurring during the shift will drop from 0.22% to 0.11%. For the years 2009-2015, accidents were dominated by age group of >50 years with a percentage of 0.52%. In 2022 for that category fell by 0%. For work accidents that occurred in 2009-2015, the most cases were falling from a height with a percentage of 0.76-0.17%. In the next seven years, the projection results obtained the highest results turned into work accident with dangerous substances with a percentage of 0.17% in 2016 and increased to 0.30% in 2022. CONCLUSIONS: The trends and predictions from 2016 to 2022 were a decrease in work accidents based on work, a decrease in accidents based on the workers age, and also a decrease on the variable type of accident.

Musculoskeletal disorders problems and its relation to age, working periods, and smoking habit among fishermen

Objective: In this study, we conducted a research to determine the relationship between ages, working period, and smoking habit with the musculoskeletal disorder in fishermen. Method: This type of research is analytic survey research with a cross-sectional study. The population in this study totaled 224 people with 56 samples as respondents. Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) were used as a questionnaire instrument. Results: The result showed that the age variable has p = 0.658 and the smoking habit has p = 1.000, this indicates that age and smoking habit variables do not have a significant relationship with musculoskeletal disorders. Meanwhile, the working period variable has a result of p = 0.015, it can be said that the work period has a significant relationship with musculoskeletal disorders. Conclusion: The respondents who were quite old were still fit for work and did not have as many musculoskeletal complaints as they should be for their age. Likewise with the smoking habit of fishermen who are more enthusiastic and motivated to work. Meanwhile, the work period has more influence on the complaints of musculoskeletal disorders among fishermen. (AU)

Trend analysis and projection of work accidents cases based on work shifts, workers age, and accident types

Objective: To assess the case of work accidents during period (2009–2022) based on work shifts, workers age, and accident types. Method: The study design was a time series design with data on work accidents at the company period 2009–2015 as the population. Results: The variable work shift in 2009–2015 was dominated by work accidents on morning shift and night shift of 0.47%. After a projection, it was found that work accidents occurring during the shift will drop from 0.22% to 0.11%. For the years 2009–2015, accidents were dominated by age group of >50 years with a percentage of 0.52%. In 2022 for that category fell by 0%. For work accidents that occurred in 2009–2015, the most cases were falling from a height with a percentage of 0.76–0.17%. In the next seven years, the projection results obtained the highest results turned into work accident with dangerous substances with a percentage of 0.17% in 2016 and increased to 0.30% in 2022. Conclusions: The trends and predictions from 2016 to 2022 were a decrease in work accidents based on work, a decrease in accidents based on the workers age, and also a decrease on the variable type of accident. (AU)