Work Postures Research Articles

Relationship of Unsafe Behavior With Work Accident Events on Patorani Fishing Ship Crawings

Background. Health and safety hazards are common among workers in the informal sector. This is due to the lack of information obtained by workers in the informal sector regarding the application of safe behavior (safe action) and safe conditions (safe conditions) at work. Unsafe conditions refer to unsafe environmental conditions that are at risk of causing work accidents. This study aims to determine whether there is a relationship between unsafe behavior and the incidence of work accidents in patorani fishing boat builders. Methods. This type of research is a quantitative research using a cross sectional design. The location of this research is Palalakkang Village, Galesong District, Takalar Regency. The sampling technique used exhaustive sampling with a total population and a sample of 50 workers. Results. The results of the bivariate study showed that there was a significant relationship between smoking habits while working with the incidence of work accidents on fishing boat craftsmen Patorani Takalar Regency (p = 0.04), there was no significant relationship between eating and drinking habits while working with the incidence of work accidents on ship craftsmen. Patorani fishermen in Takalar Regency (p=0.27), there is a significant relationship between the use of PPE when working with the incidence of work accidents on fishing boat craftsmen in Patorani Takalar Regency (p=0.00), there is a significant relationship between work posture and the incidence of work accidents on ship craftsmen fishermen in Patorani Takalar Regency (p=0.02). Conclusion. It is expected that the Patorani fishing boat craftsmen will work professionally and pay attention to safe behavior at work.unsafe behavior

Heart rate modeling and prediction of construction workers based on physical activity using deep learning

Construction projects require long working hours where workers are subjected to intensive tasks such as hard manual labor, heavy weightlifting, and compulsive working postures. Among the physiological metrics, Heart Rate (HR) is reported to be a good indicator of physical stress and workload. HR forecasting models have been used in various areas including cardiopathy research, heart attack warning indicator, and early physical fatigue detection. However, there are no reported studies on HR modeling and forecasting in the construction field. Modeling and forecasting the HR of construction workers using construction field data is of paramount importance due to the direct relationship between activity level and HR. The objective of this study is to (1) analyze the effect of physiological factors including breathing rate, acceleration of torso movements, torso posture, and impulse load on the HR of construction workers, and (2) model and forecast one-minute ahead HR for construction workers based on their physical activity using deep learning algorithms. To this end, physiological metrics of five bridge maintenance workers performing several construction activities were collected. According to the Pearson correlation and entropy based mutual information analysis, time-lagged variables including acceleration of torso movements, torso posture, and impulse load have significant effect on the HR data. The results of deep learning models indicate that Long Short-Term Memory Network (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), and Bidirectional GRU (BiGRU) have similar predictive performance. However, LSTM had the best overall performance in HR prediction with Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE) of 5.4, 7.34, and 5.77%, respectively. These models have the potential to facilitate the mitigation of cardiovascular strain and enable proactive prevention of accidents in the construction industry.

Risk factors for subjective complaints of Low Back Pain (LBP) in District X Office Workers Bandung City, Indonesia

Data from the Central Bureau of Statistics shows that 26.74% of the population aged 15 years and over in Indonesia who work experience complaints and health problems. Office workers are synonymous with high-frequency computer use and sitting for too long without paying attention to ergonomics. This raises the risk of fatigue such as arm pain, wrist pain, neck pain, and lower back pain. The purpose of this study was to determine the risk factors for subjective complaints of Low Back Pain in X District office workers in Bandung, Indonesia. This type of research is quantitative by using cross-sectional. A sample of 41 workers was obtained using the total sample technique. Data analysis used the chi-square test. The results of the study showed that 31 workers (75.6%) had complaints of Low Back Pain. Individual characteristic factors associated with the occurrence of low back pain were age (p = 0.000), gender (p = 0.012), years of service (p = 0.000), body mass index (p = 0.0018) and those that were not related were habits exercise (p = 0.369). Occupational factors related to the occurrence of low back pain were work posture (p = 0.047) and length of time using the computer (p = 0.000). So it is suggested that workers pay attention to work positions when doing work and improve work posture to reduce the risk of low back pain.

Rapid Entire Body Assessment for Work Posture’s Analysis of A Pig Farmer in Bali: A Preliminary Study

Traditional pig farmers have a high potential and intensity of exposure to ergonomic hazards. Rapid Entire Body Assessment (REBA) is one of the universal instruments relied upon to assess the ergonomic hazards of work postures. This study aimed to analyze the work postures of traditional pig farmer in Bali. This research is a preliminary study with an observational approach. One pig farmer was involved in this study. REBA was used to analyze the subject's work posture, including finding the risk category of the work posture performed. The subject data were analyzed to obtain each group's score consisting of a score of 6 for group A analysis, 5 in group B, 8 in group C, and 2 additional scores. The results showed that the pig farmer had a high-risk work posture, with a work posture’s score of 10. Reba in this study has the potential to comprehensively analyze the subject's posture. Further investigation of work posture among traditional pig farmers are recommended using REBA.

Exploration of Ergonomic Aspect in Nursing Care through Participatory Ergonomic Approach

The participatory ergonomics approach is a process that involves people who aim to explore in depth the aspects that influence the problems faced in a group. Nurses are a professional group of health workers who have a high potential for experiencing musculoskeletal disorders as a result of manual activities. Nurse activities such as lifting, pushing and moving patients in an effort to provide nursing care require great energy. This research is an explorative study with a cross-sectional study design that aims to explore problems and conduct studies based on eight ergonomic aspects of providing nursing care. The research was conducted at RSU (General Hospital) Bangli with 30 respondents as implementing nurses who worked in services. Focus Group Discussion (FGD) is a method used to obtain information about ergonomic aspects that have the potential to cause complaints to nurses in providing nursing care. The instrument used in this research is the steps of the workshop implementation from Manuaba. Problem analysis is carried out then prioritized based on Urgent, Important and essential. Six (6) issues were raised in the discussion, including; work attitudes, work facilities, workload, nutrition, work environment, information conditions and social conditions. Based on the priority scale, the improvement of work attitudes is the top priority to be addressed and improvement suggestions in the form of socializing ergonomic work postures to nurses at RSUD (General Hospital) Bangli. This research was carried out up to the proposed improvement stage, so that in further research the implementation stage could be carried out in order that an evaluation of the effectiveness of the proposed improvements could be carried out. Further research can be focused on proposed improvements for aspects that still have potential hazards apart from aspects of work attitude that have been discussed in this study.

Machine learning approach to determine the decision rules in ergonomic assessment of working posture in sewing machine operators

Introduction: There are some inherent problems with the use of observation methods in the ergonomic assessment of working posture, namely the stability and precision of the measurements. This study aims to use a machine learning (ML) approach to avoid the subjectivity bias of observational methods in ergonomic assessments and further identify risk patterns for work-related musculoskeletal disorders (WMSDs) among sewing machine operators. Methods: We proposed a decision tree analysis scheme for ergonomic assessment in working postures (DTAS-EAWP). First, DTAS-EAWP used computer vision-based technology to detect the body movement angles from the on-site working videos to generate a dataset of risk scores through the criteria of Rapid Entire Body Assessment (REBA) for sewing machine operators. Second, data mining techniques (WEKA) using the C4.5 algorithm were used to construct a representative decision tree (RDT) with paths of various risk levels, and attribute importance analysis was performed to determine the critical body segments for WMSDs. Results: DTAS-EAWP was able to recognize 11,211 samples of continuous working postures in sewing machine operation and calculate the corresponding final REBA scores. A total of 13 decision rules were constructed in the RDT, with over 95% prediction accuracy and 83% path coverage, to depict the possible risk tendency in the working postures. Through RDT and attribute importance analysis, it was identified that the lower arm and the upper arms exhibited as critical segments that significantly increased the risk levels for WMSDs. Conclusions: This study demonstrates that ML approach with computer vision-based estimation and DT analysis are feasible for comprehensively exploring the decision rules in ergonomic assessment of working postures for risk prediction of WMSDs in sewing machine operators. Practical Applications: This DTAS-EAWP can be applied in manufacturing industries to automatically analyze working postures and identify risk patterns of WMSDs, leading to the development of effectively preventive interventions.

A user-centric assessment of solar-photovoltaic-home-lighting systems in rural parts of Assam, India

Access to continued energy in Indian villages especially in the northeastern region of India is still a challenge. Off-grid electrification utilizing small-scale photovoltaic applications such as a solar home system (SHS) offers opportunities to ensure access to electricity to the needed rural parts. However, such systems distributed under various government schemes are not been received well in the past by the intended rural user due to multiple challenges, including the lack of user and context-specific design. Thus, the need for a user-centric design becomes critical in developing solutions appropriate to the rural needs of the studied region and relevant. The present work, therefore, intends to investigate the issues with the existing/conventional SHSs. Portability, maintenance, functionality, affordability, and user satisfaction were the issues of paramount importance. The user needs have been mapped in accordance with the identified concerns to finally evolve a user and context-specific design for SHSs. The proposed design has also been investigated for the identified issues and a comparative assessment was made with the conventional SHSs. In order to better assess the conventional and proposed SHSs for usability, adoption, safety, and the musculoskeletal disorders system usability analysis (SUS), technology adoption model (TAM), perceived ergonomic analysis, and Ovako Work Posture Analysis System (OWAS) were also carried out. The superiority of the proposed user and context-specific designed SHS was revealed over the conventional SHSs. The study indicated that embracing a user-centric approach for the design-development of small-scale photovoltaic utilities may assist in the dissemination of such products to rural grassroots.

Factors contributing to low back pain in workers involved in prolonged standing occupational requirements

Nearly half of all employees worldwide are required to stand for more than 75% of their workdays. Prolonged standing is an occupational risk factor giving rise to numerous complications, especially Low Back Pain (LBP). The present study assesses factors contributing to LBP in occupations requiring prolonged standing. A cross-sectional analytical study was conducted on 135 workers in occupations requiring prolonged standing with or without complaints of LBP. Back pain status, working posture, repetitive actions, core strength, flexibility, and foot posture were assessed. Statistical analysis was done using Spearman's correlation coefficient with alpha set at p<0.05 at a 95% confidence interval (CI), and logistic regression analysis was performed to find the odds ratio (OR). A significant correlation was observed between the back pain status with working posture and the foot posture. The percentage of prolonged standing time, repetition, core strength, and flexibility did not show any correlation with back pain status. Work posture and foot posture are major contributing factors in causing LBP in workers involved in prolonged standing occupations.

Identifying physical and psychological risk factors for musculoskeletal pain in student musicians to tailor the curriculum: a cross-sectional study protocol

IntroductionInsufficient identification and understanding of risk factors make musicians engaging in professional practice particularly vulnerable to musculoskeletal pain. To support positive music learning and good mental, physical, and social health,...

Analysis of Improved Work Posture to Reduce Musculosceletal Disorders using the Rapid Upper Limb Assessment and Ovako Work Posture Analysis System methods (Case Study : Employees in the Warehouse of PT. AFS Maros, South Sulawesi)

PT. AFS is a Limited Liability Company engaged in catering services. One of the most important divisions in this field is in the warehousing department. Receiving is the place where the goods are entered, while the store is the place where the goods are stored for a period of time with reference to the expiration date of the product. Goods collection is done when receiving incoming goods, moving goods from the receptionist to the store, and when requesting goods from the production room. Body posture is a determining factor in analyzing the effectiveness of a warehouse operator's work. If the operator's work attitude is wrong or not ergonomic, the employee will tire easily and bone abnormalities can occur. Complaints of Musculoskeletal Disorders are complaints of skeletal muscles that are felt by a person from very mild to severe complaints. For the RULA and OWAS methods, posture analysis is only carried out in the main warehouse. The final Rapid Upper Body Limb Assessment (RULA) score for both workers was Score 7 (Action Level 4) which indicates that this condition is dangerous and requires immediate inspection and changes (on the spot). And the Ovako Work Posture Analysis System (OWAS) shows category 4 (This attitude is very dangerous for the musculoskeletal system. Needs to be corrected immediately/currently) and Category 1 (in this system problems in the musculoskeletal system don't need to be fixed).PT. AFS is a Limited Liability Company engaged in catering services. One of the most important divisions in this field is in the warehousing department. Receiving is the place where the goods are entered, while the store is the place where the goods are stored for a period of time with reference to the expiration date of the product. Goods collection is done when receiving incoming goods, moving goods from the receptionist to the store, and when requesting goods from the production room. Body posture is a determining factor in analyzing the effectiveness of a warehouse operator's work. If the operator's work attitude is wrong or not ergonomic, the employee will tire easily and bone abnormalities can occur. Complaints of Musculoskeletal Disorders are complaints of skeletal muscles that are felt by a person from very mild to severe complaints. For the RULA and OWAS methods, posture analysis is only carried out in the main warehouse. The final Rapid Upper Body Limb Assessment (RULA) score for both workers was Score 7 (Action Level 4) which indicates that this condition is dangerous and requires immediate inspection and changes (on the spot). And the Ovako Work Posture Analysis System (OWAS) shows category 4 (This attitude is very dangerous for the musculoskeletal system. Needs to be corrected immediately/currently) and Category 1 (in this system problems in the musculoskeletal system don't need to be fixed).

Measurement of Work Posture Score Using Rapid Upper Limb Assessment and Quick Exposure Check in Tofu Industry

Intisari— Kegiatan produksi pada industri kecil menengah (IKM) Tahu X meliputi berbagai macam proses mulai dari proses perendaman bahan baku tahu kedelai hingga proses pemasaran tahu. Dalam pengerjaanya, pabrik masih menggunakan metode tradisional dan tenaga manusia sebagai operatornya. Berdasarkan pengamatan, postur kerja saat bekerja dapat menimbulkan berbagai keluhan musculoskeletal pada pekerja. Penelitian ini bertujuan untuk mengetahui bagian tubuh manakah yang berpotensi mengalami cidera musculoskeletal dengan memanfaatkan metode Rapid Upper Limb Assesment (RULA) dan Quick Exposure Check (QEC) serta memberikan rancangan perbaikan yang sesuai dengan hasil yang ditemukan. Metode penelitian ini dilakukan dengan mengolah informasi berupa data postur tubuh pekerja di stasiun kerja tertentu yang kemudian diolah menggunakan metode standar RULA dan QEC. Hasil yang diperoleh adalah adanya postur kerja yang berbahaya yaitu pada Stasiun Penyaringan dan Stasiun Pencetakan dengan nilai RULA masing-masing adalah 7 dan 6 dengan kategori resiko tinggi, dan nilai QEC masing-masing 60,79% dan 64,2% dengan kategori resiko sedang. Setelah diberikan usulan perbaikan terdapat penurunan pada skor RULA di Stasiun Penyaringan dan Stasiun Pencetakan menjadi masing-masing adalah 5 dan 5 dengan kategori resiko sedang.
 Abstract— Production activities at small and medium industries (SMEs) Tofu X include various processes ranging from soaking the raw materials of soybean tofu to the marketing process of tofu. The factory still uses traditional methods and human labour as the operator in the process. Based on observations, work postures can cause various musculoskeletal complaints in workers. This study aims to determine which parts of the body have the potential to experience musculoskeletal injuries by utilizing the Rapid Upper Limb Assessment (RULA) and Quick Exposure Check (QEC) methods and provide an improvement plan that is by the results found. This research method is carried out by processing information in the form of body posture data of workers at specific workstations, which are then processed using the standard RULA and QEC methods. The results obtained are the presence of dangerous work postures at the Screening Station and Printing Station with RULA values of 7 and 6 in the high-risk category, and the QEC values, respectively, 60.79% and 64.2% in the medium-risk category. After being given the improvement model, there was a decrease in the RULA score at the Screening Station and Printing Station to 5 and 5, respectively, with a moderate risk category.

Analisis Postur Kerja Terhadap Keluhan Gangguan Muskuloskeletal pada Pekerja Pemanen Kelapa Sawit

Musculoskeletal diseases (MSDs) are a common complaint because oil palm harvesting is still a manual, labor-intensive and repetitive activity that requires human labour. Due to the non-ergonomic working position, harvesters are prone to musculoskeletal diseases. This study examines the risk factors for musculoskeletal disorders (MSDs) in the agricultural industry using a kind of descriptive analysis and literature review methodology. Five publications were found as a result of a Google Scholar search after a literature search was conducted online at different websites. This research was conducted on 5 publications, all of which were national articles and met the inclusion criteria. To find a solution to a problem, information is evaluated and processed through the steps of organizing, synthesizing, identifying and further analyzing. The findings show that the incidence of musculoskeletal diseases (MSDs) in agricultural workers is influenced by personal factors (age, gender, years of service, medical history, and psychosocial factors), occupational factors (work posture, workload, work duration, repetitive movements and manual materials handling), and environmental factors (work space). Working age is the personal element that is most strongly associated with the occurrence of musculoskeletal diseases (MSDs). Among the workplace and environmental variables that have a substantial correlation with the prevalence of musculoskeletal diseases (MSDs), are work posture and work environment.

Analisis Postur Kerja Karyawan Produksi Sepatu Olahraga Menggunakan Metode Novel Ergonomic Postural Assessment pada Karyawan Ruang Produksi UD. XYZ Gresik

This research is discussed about the analysis of work posture in small-medium industries that produce sports shoes. UD XYZ Gresik is one of the companies in the athletic shoe industry that receives requests for shoes every day. Working hours for 9 hours with a break time of 1 hour. Production targets are sometimes not achieved, causing employees to work overtime. Along with the targets that must be achieved every day, employees in the shoe production room have to sit for a long time during working hours. Long working hours have an impact on musculoskeletal disorders, especially back pain. Working posture (sitting position) and length of work are factors that affect physical ability which continues to decline. Thus resulting in absenteeism and economic losses caused by a decrease in work capacity and a decrease in employee productivity. Novel Ergonomic Postural Assessment as an ergonomics method used as a tool to analyze the risk of ergonomics and working posture in the upper body to reduce the risk of musculoskeletal injuries in the production process. The results showed that the value of the first working posture was 6 (work posture needs further research and action is needed in the near future). For the second working posture, the final NERPA score was 7 (work posture needs to be checked further and action taken as soon as possible). Both of these scores require improvement due to the risk of severe musculoskeletal disorders.

Determinants of Musculoskeletal Disorders Complaints in Songket Weaving Processers

Songket weaving artisans is a job that needs special attention because the process still uses traditional high-risk looms. The initial survey showed that 9 out of 10 artisans experienced muscle and skeletal complaints, known as Musculoskeletal Disorders. This study aims to determine the relationship between individual characteristics and occupational factors with MSD complaints in Pandai Sikek songket weaving artisans. This research is a quantitative study with a cross-sectional design. Conducted from December 2021 – June 2022 to 77 respondents. The sampling technique uses simple random sampling. Data processing uses univariate and bivariate analysis with a chi-square test with an α value of 5%. The results showed that 53.2% of songket weaving artisans experienced moderate risk MSDs complaints, 64.9% of artisans were classified as lack of exercise, 36% of artisans were classified as having BMI abnormal, 24.7% of artisans were classified as having risky working duration, and 76.6% of artisans’ working posture is classified as high risk. The results of the bivariate analysis showed that the variables associated with MSD complaints were age (p=0.000), years of service (p=0.000), exercise habits (p=0.020), BMI (p=0.012), duration of work (p=0.001), and work posture (p=0.028). There is a relationship between age, years of service, sports habits, BMI, duration of work, and work posture with MSDs complaints. Artisans are expected to stretch before, during, and after work. Nagari is expected to reach out to artisans regarding applying K3 when weaving.

OPTIMIZATION OF THE BALADO STICK POTATO CUTTING MACHINE

Potato is an important crop in Indonesia utilized in various processed foods but there are still household industries that process potatoes using manual methods. Therefore, the writer researched the optimization of potato cutting tools using the frame static simulation method, variations of cutting trials with blade distances from 95 mm, 90 mm, 85 mm, and RULA (Rapid Upper Limb Assessment). The tool frame structure uses ASTM Steel A36 material. The results of the static simulation of the frame obtained the smallest factor of safety is 43. The optimization step that can be done is to change the frame dimensions to 20 x 20 x 3 mm and use SS 34 material. For the trial variation, the highest capacity and efficiency of cutting tools were obtained in trial variation 2 with a blade distance of 90 mm with a value of 98.5 kg/hour and 62.09%. The efficiency of the tool has met the efficiency standard with a result of 62.09% of the specified 60%-70% range. The application of RULA on the tool gets a final score of 3 so adjustments need to be made so that the worker's posture is comfortable.

Analisis Postur Kerja dengan Pendekatan Ergonomi Pada Home Industry Snack dan Katering “X” di Kota Semarang

ABSTRACTSemarang is a region known for its culinary diversity and cultural heritage. The number of tourists visiting is proportional to the number of culinary and tourism industries. The city of Semarang continues to strive to increase the participation of small and medium enterprises in order to advance the region and prosper the community. The mushrooming of small and medium industries in Semarang is still not directly proportional to efforts to protect occupational safety and health for its workers. Even though work safety and health efforts are mandatory things that must be pursued both for formal and informal industries. The research aims to determine the level of risk and improve work posture with an ergonomic approach in the form of a Rapid Upper Limb Assessment (RULA) worksheet and observations in the snack and catering industry. Food processing and packaging workers have a high level of risk of experiencing muscle and bone pain because most of their work activities are sitting. The measurement results for workers in industry X show a score of 4 in the dough making section, a score of 3 in the processing section 1, a score of 4 in the processing section 2. A score of 3 in the packaging section 1, and finally a score of 4 in packaging 2. The results prove that there is no tension muscles in workers but there is discomfort in work positions that are affected by work facilities. Corrective and preventive efforts need to be pursued so that workers are able to work productively and in the future there will be no occupational diseases.

HUBUNGAN ANTARA POSTUR KERJA DENGAN KELUHAN MUSCULOSKELETAL DISORDERS PADA PEKERJA LAUNDRY DI KECAMATAN BATAM KOTA KOTA BATAM 2023

Background: One of the jobs that is vulnerable to Musculoskeletal complaints is laundry workers. The most common occupational accidents are MSDs.
 Methods: This study is an observational analytical study with a cross-sectional approach on 97 laundry workers in batam city sub-district. Samples were selected using accidental sampling techniques. The data is the primary data from the questionnaire. Data analysis using univariate and bivariate analysis.
 Results: Based on the results of the chi-square correlation test, a p value of 0.016 (p < 0.05 was obtained). The p value from this data analysis obtained a value of 0.016 (p < α) so that it shows that there is a relationship between work posture and MSDs complaints in laundry workers in Batam City District.
 Conclusion: Based on the results of the chi-square correlation test, a p value of 0.016 (p < 0.05 was obtained). thus showing that there is a Relationship Between Work Posture and MSDs Complaints on Laundry Workers in Batam City District 2023.

Ergonomic Analysis of Working Postures at a Construction Site Using Rula and Reba Method

Musculoskeletal Disorders (MSDs) are the main work-related problems in construction sites around the world. Awkward working posture is mainly responsible for occupational musculoskeletal injuries. The main objectives of the research were to analyse the working postures of construction workers and assess the level of risk of injury in their work. Four categories of working postures were collected from elementary works as a form of still pictures from the construction site. Two assessment tools RULA (Rapid Upper Limb Assessment) & REBA (Rapid Entire Body Assessment) were used to assess the working postures of construction workers. Results showed that Beam and column casting and masonry workers were at high risk of injury due to the absence of maintaining proper working postures during the work. This study suggested to construction workers to maintain proper postures during works for avoiding any occupational injuries. Journal of Engineering Science 14(1), 2023, 43-52

Design of a hydraulic trolley to reduce work risks in gram transfer activities at PT XYZ

Material Handling Equipment (MHE) is a tool used to facilitate worker activities when doing heavy work. Material Handling Equipment (MHE) is also very helpful for workers in reducing the workload caused by less ergonomic activities that can cause worker fatigue. At PT XYZ there is activity of transferring grams onto trucks with trolleys. In the activity of transferring gram ± 60 minutes for transferring gram onto the truck. The worker's posture when using the trolley has a REBA value of 12 which means Very High Risk. Therefore this study focuses on redesigning the trolley with consideration of REBA analysis using the Kansei Engineering approach. The results of the redesign get a REBA value of 3, it can be concluded that the proposed trolley is better than the existing trolley

Neck and upper extremity musculoskeletal problems in cosmetologists caused by work-related ergonomic risk factors in Denizli, Turkey.

Work-related musculoskeletal disorders (MSDs) of the neck and upper limbs are a common health problem among cosmetologists. Hairdressing requires bending, twisting, static postures, prolonged standing, repetitive motions, and vigorous movements of the hands and fingers. In order to determine the proper ergonomic measures, identifying the factors and hairdressing jobs that increase the risk of work-related neck and upper limb disorders is needed. The objective of this study was to determine the prevalence of MSDs in the neck and upper extremities of cosmetologists and to investigate the association with ergonomic risk factors and hairdressing work. The cross-sectional study was conducted on cosmetologists in Denizli, Turkey province (n = 504). Data collected through a survey included questions on sociodemographic characteristics, work organization, equipment, and hairdressing work, items on work posture, the Extended Nordic Musculoskeletal Questionnaire, and the Demand-Control-Support Questionnaire. Work posture in hairdressing was assessed using the Rapid Upper Limb Assessment (RULA). The prevalence of MSDs of the neck and upper limbs in the previous twelve months ranged from 7.7-55.8%. There was high, or very high, risk in 56.1% of work postures, and the median RULA score was 5.0 (4.0-6.0). The significant predictors of pain were work experience, gender, marital status, risk perception, awkward posture, psychological demand, and hair coloring. It is necessary to take control measures in hairdressing salons promptly to adopt more suitable working posture and to design workplaces ergonomically.