Repetitive Work Research Articles

Effect of Stretching Exercise on Reducing Musculoskeletal Disorders for Administration Staff at Hospital

Administrative staff worked with static body posture and repetitive work for more than eight hours a day. They were experiencing musculoskeletal disorders as a risk of using workstation and their posture at work. It is important to reduce the risk of injury caused by their working risks. The purpose of this study was to analyze the effect of stretching on the reduction of musculoskeletal disorders. This research used quasi-experiment approach with one group pre-test post-test only design. The number of research respondents was 60 employees taken by purposive sampling at Lung Hospital Bandung. Musculoskeletal disorders measured using the Nordic Body Map questionnaire before and after interventions. Stretching was giving to employees every day for 3 weeks simultaneously. The result shows majority of respondents were female, 33 respondents (55%), as many as 54 respondents (66.7%) were 24-30 years old. Most of respondents have BMI in obese level as may as 31 respondents (51.7%). Respondents who have worked for more than 2 years were 43 respondents (71.7%). Before the intervention, as many respondents experienced low complaints (86.7%). After the intervention, all respondents had decreaced in complaints become the low category (p=0,001). Recommendation for hospital was to carry out stretching exercise to prevent MSDs for administrative workers.

The effect of suboccipital muscle dysfunction on the biomechanics of the upper cervical spine: a study based on finite element analysis

ObjectiveMuscle dysfunction caused by repetitive work or strain in the neck region can interfere muscle responses. Muscle dysfunction can be an important factor in causing cervical spondylosis. However, there has been no research on how the biomechanical properties of the upper cervical spine change when the suboccipital muscle group experiences dysfunction. The objective of this study was to investigate the biomechanical evidence for cervical spondylosis by utilizing the finite element (FE) approach, thus and to provide guidance for clinicians performing acupoint therapy.MethodsBy varying the elastic modulus of the suboccipital muscle, the four FE models of C0-C3 motion segments were reconstructed under the conditions of normal muscle function and muscle dysfunction. For the two normal condition FE models, the elastic modulus for suboccipital muscles on both sides of the C0-C3 motion segments was equal and within the normal range In one muscle dysfunction FE model, the elastic modulus on both sides was equal and greater than 37 kPa, which represented muscle hypertonia; in the other, the elastic modulus of the left and right suboccipital muscles was different, indicating muscle imbalance. The biomechanical behavior of the lateral atlantoaxial joint (LAAJ), atlanto-odontoid joint (ADJ), and intervertebral disc (IVD) was analyzed by simulations, which were carried out under the six loadings of flexion, extension, left and right lateral bending, left and right axial rotation.ResultsUnder flexion, the maximum stress in LAAJ with muscle imbalance was higher than that with normal muscle and hypertonia, while the maximum stress in IVD in the hypertonic model was higher than that in the normal and imbalance models. The maximum stress in ADJ was the largest under extension among all loadings for all models. Muscle imbalance and hypertonia did not cause overstress and stress distribution abnormalities in ADJ.ConclusionMuscle dysfunction increases the stress in LAAJ and in IVD, but it does not affect ADJ.

Assessment of musculoskeletal disorders among palm oil farmers with SNI 9011:2021 in Muara Wahau

Indonesia is the world's largest producer of palm oil, with millions of hectares of plantations. However, along with the growth of the palm oil industry, various challenges and issues related to the worker welfare have emerged. One important issue is musculoskeletal disorders or health problems associated with work in palm oil plantations. Workers in palm oil plantations are often exposed to heavy and repetitive work conditions, such as carrying heavy loads, performing monotonous movements, and working in non-ergonomic positions. These factors can increase the risk of musculoskeletal disorders, such as back pain, shoulder pain, neck pain, and other health issues. Therefore, this research aims to evaluate existing musculoskeletal disorders and provide recommendations for improvement and management of ergonomic risks in PT. DSN in Muara Wahau. The research methods include direct observation of palm oil farmers during their work, structured interviews to gather information on complaints and ergonomic risks, and the use of ergonomic analysis methods in accordance with the SNI 9011:2021 standard. The data obtained will be analyzed to identify ergonomic risk factors contributing to musculoskeletal disorders. The results of this study showed that all of palm oil harvesting workers experienced high risk level on their neck, while all of palm oil transportation workers encountered high risk on their elbow. Stretching or warm-up exercises before and after work were recommended to reduce the risk of injuries caused by non-ergonomic work positions among harvesting workers. Furthermore, redesigning Hook-T was recommended in order to minimize the MSD among palm oil transportation workers.

The Relationship Between Working Posture and Musculoskeletal Disorders in Waste Pickers at Blondo Landfill

Abstract Background: Blondo landfill serves as a final processing site for waste and also a source of livelihood for scavengers. Scavengers are workers who are at risk of musculoskeletal disoders (MSDs) complaints due to heavy, repetitive physical work and poor work postures due to bending. During waste collection and sorting, waste pickers perform repetitive movements with non-ergonomic postures, away from the ideal body position. Based on data from Puskesmas Bawen, 45% of 73 waste pickers experienced muscle and joint pain. The purpose of this study was to determine the relationship between working posture and complaints of musculoskeletal disorders.Methods: This study was an observational analytic research in a cross sectional design. The population in this study were Blondo landfill waste pickers. The subjects were 65 waste pickers who were chosen through purposive sampling technique. Data collection was conducted through interviews using the Nordic Body Map questionnaire, digital camera and REBA (Rapid Entire Body Assessment) sheet. Data analysis were conducted using Spearman rank tests.Results: The results showed that of the 65 waste pickers, the majority were female (53.3%), aged > 35 years (93.8%), had a working period of more than 5 years (61.5%), and normal nutritional status (56.9%). Scavengers who have moderate risk work posture (81.5%) and moderate musculoskeletal disorders (84.6%). There was a positive correlation between working posture and MSDs with a moderate level (ρ=0.593; p=0.0001).Conclusion: Work postures that are formed away from the body's gravity which if done continuously and for a long period of time among waste pickers resulted in musculoskeletal disorders.

Optimizing IT Support Operations with Web Development at PT Global Loyalty Indonesia

IT Support at the company PT Global Loyalty Indonesia is considered to have less effective performance and often does repetitive work, such as several problems that have been resolved before that require a lot of experiments, when the same thing happens on a different day, the time-consuming experimental actions will be carried out again, so that the completion of the work takes a long time, this is because there is no recording of the steps that have previously been carried out. In addition, work requests to IT Support are only done verbally without detailed data collection, besides that ineffective standard operating procedures make IT Support employees confused when problems occur that have never been experienced before, so the work process takes a long time. To overcome these problems, a website system was created using HTML, CSS, React JS and Bootstrap with the Agile development method. After the website was completed and applied to the IT Support section, it was obtained from the results of interviews by the head of IT Support, that the work in the section became more organized, more recorded and easier to monitor by the head of IT Support, besides that it was also stated by the head of IT Support that the website created was very helpful and made IT Support work easier, with an average user acceptance of 86.4% which was calculated using the user acceptance test method

Implementation of Smart KYC using Blockchain

The know your customer or know your client (KYC) is a guideline for the banking system to validate a customer using identity, appropriateness, risk assessment in establishing a banking relationship. With the growing concern of security, the KYC process is complex and involves a high cost for completing for a single customer. In this work, we propose an economical, swift, secure, and transparent platform for KYC document verification for the Banking system through InterPlanetary File System (IPFS) and blockchain technology. The proposed system allows a customer to open an account at one Bank, complete the KYC process there, and generate a hash value using the IPFS network and share it using the blockchain technique. Upon receiving the private key, any Bank/financial organization can retrieve, store customer data (i.e., KYC) securely using IPFS network if the customer wishes to open another account in that Bank/financial organization. The proposed system can save time, money, and repetitive work during the KYC process when someone tries to open an account at multiple Banks

Failure prediction and optimization for composite pressure vessel combining FEM simulation and machine learning approach

Failure assessment is one of the fundamental tasks for optimization of composite pressure vessels (CPVs). However, the extensive design space of composites usually leads to costly and repetitive work of failure assessment that hinders the design and optimization of CPVs. In this work, a combined FEM simulation and machine learning approach is used to predict the failure factors R of CPVs for further optimization. CPVs with various design parameters are automatically generated and analyzed in ABAQUS to obtain failure factors under various external loadings. Then, an assembled deep neural network (DNN) namely Multi-DNN is trained to map relations between design parameters and R of CPVs. Further, transfer learning (TL) is introduced to improve the extensibility of our approach by fine-tuning the pre-trained Multi-DNN using scarce data of new design space. Such a TL-Multi-DNN model can precisely predict R of CPVs with new design parameters. Additionally, combining the trained models and genetic algorithm, the optimization of CPVs is carried out with high efficiency and low computational cost. As a result, R of CPV with various given and new design parameters can be estimated directly by the trained models and the optimal layer sequence of CPV can be obtained efficiently.

The emergence of the “information have-less” class of labor in the information age and its presence in Egypt

PurposeAt the beginning of the 21st century, a new class of information workers, the “information have-less” has risen. This class of workers alleviates the influence of information and communication technologies (ICTs) revolution on poverty and unemployment. The purpose of this study is to investigate the presence of this class of workers in Egypt and assess the size and potential growth of this category of workers.Design/methodology/approachThe study clarifies the conceptual framework of the new division of labor, in the information age. The Central Agency for Public Mobilization and Statistics, American Chamber of Commerce in Egypt, Ministry of Communications and Information Technology and Information and Decision Support Center websites provided secondary data for this study. These data are used to assess the size of “the information have less” in Egypt.FindingsThe division of work and class, in the 21st century, depends on the level of skills possessed to work with ICTs. So, class and labor nowadays could be divided into self-programmable labor (Innovators). Information have-less labor class, adding value to the economy by learning skills and presenting repetitive work. Generic labor class, who cannot work with ICTs, and work in jobs, that do not need computers or other ICTs. The study has shown that the “information have-less” labor class is present in Egypt since the beginning of the 21st century, in all its categories; entrepreneurism, the service sector and the manufacturing sector. There are approximately 50% of this labor class in the service sector and only 13% of the information have-less works in manufacturing sector despite the great opportunities that Egypt has to expand manufacturing to absorb more employment. The inclusion of information technology (IT), in all domains, has not decreased employment in Western countries but has reallocated information have-less employment toward the service sector, and there would probably be the same effect in Egypt.Practical implicationsThe study highlights the need for Egyptian policymakers to encourage the manufacturing and service sectors to provide huge working opportunities. The Egyptian government has to change the educational policies, at all stages, to include digital learning skills so IT can be incorporated in a wide range of economic activities. Further research includes: conducting a survey to measure the contribution of the entrepreneurial part of the information have-less employment in Egypt. In addition, a model may be developed, by the researcher to examine the reallocation of employees in Egypt.Originality/valueStudying employment, in Egypt, using the conceptual framework of the information age is rarely being done.

The impact of inertial exercises performed in the workplace on shoulder muscles' strength and muscles' fatigue resistance in women with disabilities.

Workers who do monotonous and repetitive work in a static position often complain about fatigue and decreased work efficiency. Some studies indicate that to improve muscle fatigue, resistance strength training can be used. To investigate the effect of 4-week inertial training on shoulder muscles' strength and muscles' fatigue resistance 44 female workers with disabilities were examined. The participants were randomized into the training group (T) (N = 32) and the control group (C) (N = 12). Before the training and after that shoulder muscles' strength were tested at the start and at the end of the workday (Monday and Friday). The participants were asked to complete questionnaire concerning their fatigue at work (T and C), inertial training and work efficiency (T). The work performed during the last day of the workweek, i.e., Friday (before training) resulted in a significant decrease in shoulder muscles' strength in T and C. Muscle strength achieved at the end of the workweek (Friday afternoon) was significantly lower than achieved at the start of the workweek (Monday morning) in both tested groups (before training). Moreover, inertial training resulted in a significant increase in shoulder muscles' strength in T; 34-74% for different muscles. No changes in muscles' strength were noted in C. Increased muscle strength in T following inertial training effectively prevented muscle fatigue. After training the differences in shoulder muscles' strength noted in T during different times of the workday and workweek were insignificant. Moreover, 4-week inertial training increased significantly the work efficiency of women from T by 4%; no changes were noted in C. Inertial training was well tolerated by the participants. Using inertial training in women with disabilities to prevent shoulder muscles' fatigue during the workday and workweek is recommended. Med Pr Work Health Saf. 2024;75(2):113-122.

AI Kitchen

Purpose: Using several smart gadgets makes the kitchen smart. The picture of the kitchen from ancient has drastically changed. Now, the kitchen is glorified using modern technology. The kitchen chimney, microwave oven, etc., is more convenient for the kitchen. Now, AI has come, and every day, more and more devices are becoming AI-enabled. In this scenario, we demonstrated the project in an AI-enabled kitchen. There are several advantages of AI-enabled kitchens over intelligent kitchens. AI will handle our most repetitive and monotonous work. Also, AI will take care and protect from any accident before it happens, which generally happens due to forgetfulness or carelessness. Design/Methodology/Approach: We installed a CPU inside the home. We installed an action controller in the kitchen that connects all kitchen gadgets. One PTZ camera is installed in such a place that captures the gas oven and the entire kitchen environment. Our camera is the point-to-zoom (PTZ) type, so it can rotate the lens and zoom to capture any incident for better understanding or to detect the perfect image for accurate detection. Our camera is running all the time, which means round the clock. It always captures the image and processes the image by CPU. If any event matches with the event database, it sends the command to the action controller to take the action. If a new event is detected, it will learn from it and save it into the database for future use. Findings/Result: The complete system is the conceptual-based research work. However, every part of the module or section is based on practical research work. So, once the system is deployed in the practical field, it will work without issues. In a typical kitchen, we must always pay attention, like the regulator is on if the milk is left for a long time in the gas oven. So, this kind of tension and anxiety will go for retired. All events will be taken care of by our AI-enabled system. Once the system is installed, it will run autonomously; there is no need to take care of or follow up. Once the system detects some issue, the system will notify the concerned person. Originality/Value/Novelty: Nowadays, intelligent gadgets are taking place in the home. Smart devices, especially in the kitchen, make life easy. Using AI, we can get more benefits and security for the kitchen. We studied several research works. Most of the researchers automated kitchen gadgets. But still, the problem exists. All gadgets should be under centralized control to get better safety and control. Through this research work, we described how to create safety and control in the kitchen environment. This research works to provide more value to the modern, smart kitchen. Type of Paper: Conceptual Research.

Automated CAD-to-BIM generation of restroom sanitary plumbing system

Abstract Mechanical, electrical, and plumbing (MEP) system experts often have difficulties in converting their designs, in computer-aided design (CAD), into building information models (BIMs) owing to excessive repetitive work, lack of BIM skilled workers, frequent BIM recreations, etc. Therefore, this study aimed to formalize the CAD-to-BIM process of MEP systems, focusing on sanitary plumbing system, including soil, drain system, hot water supply, and cold water supply system. Each system’s process is composed of a combination of the following five common modules: pipeline processing module, pipe connection module, initial level setting module, addition riser nipple module, and clash resolution module. Consequently, a prototype developed based on the formalized process produced a sanitary plumbing BIM model that is identical to the CAD drawings and has no clashes. This study contributes to the MEP BIM theory by identifying considerations for CAD-to-BIM conversion of sanitary plumbing system and formalizing the process reflecting them.

The prevalence of anxiety and related factors among primary and secondary school teachers in Hanoi, Vietnam, during the COVID-19 pandemic in 2020.

The working conditions for teachers in Vietnam were characterized by increased workload and pressure, burdening teachers' well-being. The study aims to investigate anxiety prevalence and identify some related factors among primary and secondary school teachers in Hanoi after the first COVID-19 outbreak in 2020. This paper analyzed data of 481 teachers working at ten primary and secondary schools in Hanoi city. Anxiety was measured using the anxiety component of the Depression, Anxiety, and Stress scale 42 items. Multivariable logistics regression was performed to examine anxiety-related factors using SPSS 20.0 at a significant level p less than 0.05. The prevalence of anxiety symptoms was 42.4% and similar between primary and secondary school teachers. More secondary teachers reported moderate to severe anxiety symptoms than primary teachers did (31.6% and 27.7%). Primary school teachers who felt discomfort with their supervisor's assessment, high responsibility for student safety, and ever thinking of leaving their current job were more likely to report anxiety symptoms (OR (95%CI) = 2.8 (1.2-6.5), 3.6 (1.0-12.8), and 2.6 (1.3-5.4), respectively). Meanwhile, the discomfort of caring for many students or problematic students, repetitive work, and disagreement with coworkers were risk factors of anxiety among secondary school teachers (OR (95%CI) = 2.6 (1.2-5.8), 3.2 (1.1-9.2), 3.4 (1.3-8.8), and 3.7 (1.1-12.6), respectively). In conclusion, the prevalence of teachers with anxiety symptoms is on the rise, caused by the characteristics of the job and professional relationships. Tailored support for teachers in different grades is necessary to improve and prevent teachers' anxiety.

High-throughput automated membrane reactor system: The case of CO2/bicarbonate electroreduction

Nowadays, CO2 capture and valorization are vital centers of investigation to help mitigate the effects of climate change. Considering that to achieve high conversion efficiencies a great number of catalysts must be tested at different conditions (concentration, pH, temperature, potential, current), automating those processes would greatly help accelerate that progress. Over the last decades, the idea of automatizing the repetitive work in laboratories was always considered, but most of these projects have never been put into practice due to its high implementation costs. However, lately, these costs have been reduced significantly over the last few years due to novel manufacturing and prototyping techniques such as 3D printing and the decrease in electronic and robotic components prices. In this work, a high-throughput system was developed consisting of an automatic station to perform CO2/bicarbonate electroreduction tests. Voltage, stirring rate, reaction duration and repeatability can be fully scanned automatically. The final manufactured automatic station is replicable, cheap and can perform electroreduction tests with little human intervention, increasing the testing capacity, repeatability, and reducing the cost of the experiments. The system can be adapted to other electrochemical reactions.

A Model generation method and iteration algorithm for optimising fire protection thickness

With temperatures rising above 1000 °C within 5 min, hydrocarbon fire causes rapid strength degradation of structural steel members. It is among the most dangerous hazards, such as boiling liquid expanding vapour explosion (BLEVE) in the oil and gas industry. Intumescent coating as passive protection is widely adopted to prevent the steel structure from material property reduction. However, when optimising fire protection with heat transfer simulation, repetitive modelling work and lacking recalculation principle hinder productivity improvement. This method is developed to generate steel beam models and provides an effective algorithm to optimise coating thickness considering the temperature of a specific region. The main functions of the method include:•Providing section dimensions, initial insulation thickness, target temperature and heating time, temperature allowance and mesh size as variables.•Automatically generating the Abaqus steel beam model under 3-side heating conditions.•Effective iteration algorithm to modify fire protection thickness: test containing 38 Universal beam sections with a 5 °C allowance below target shows that 55.2% were completed within five iterations and 76.3% were completed within eight iterations.

Analysis of Musculoskeletal Complaints and Work Fatigue in Dental Assistants

Dental assistants are one of the health workers who have the potential to experience musculoskeletal complaints and work fatigue due to repetitive and monotonous work in a sitting position. This study aims to determine musculoskeletal complaints and work fatigue experienced by dental assistants. This research is descriptive qualitative research, in which musculoskeletal complaints were evaluated from the results of the Nordic Body Map (NBM) questionnaire while work fatigue was evaluated from the results of the 30 item of rating scale questionnaire. This research was conducted at dental hospital XX, Denpasar, the number of respondents in this study were 20 dental assistant who were administratively recorded as serving at dental hospital XX, Denpasar. The research was conducted in April 2022. Respondents were asked to provide an assessment of the part of their body that felt sick during work activities. Based on the results of descriptive analysis showed that out of 20 respondents, 13 people (65%) had moderate musculoskeletal complaints, 5 people (25%) had high musculoskeletal complaints and 2 people (10%) had very high musculoskeletal complaints. The results of the study on the fatigue aspect showed that 16 people (80%) experienced moderate fatigue, 3 people (15%) experienced high fatigue and 1 person (5%) experienced very high fatigue. The conclusion in this study showed that musculoskeletal complaints and work fatigue due to repetitive and monotonous work in a sitting position to increase work stress factors.

Automation in Library Science in AI Era

The Auromation of library science has become a revolutionary force in the adminstration and accessibility of information resources in the age of artifical intelliegence. The goal of this project is to investigate and apply AI -driven solution to improve resource management, user services, cataloguing and other areas of library operation. in order to streamline the organisation and retrieval of information, the automation process uses machine learning algorithms to tag and categorise library material. Intelligent search and recommendation systems are developed using Natural Language Processing(NLP ) approaches, which facilitities the effortless discovery of pertient information by users. Additionally, by integrating AI into library systems, libraries may better forecast demand using predictive analytics and adapt their resources accourding to user perfence and new trends. Robotic process automation also simplifies repetitive administrative work, freeing up human resources to concentrate on more difficult and valuable duties. The project uses strong encryption techiques and access control to address issue with data security and privacy, the creation and application of AI technologies in library science also heavily relies on ethical consideration, such as bias prevention in algorithms. Libraries may transform their services and remain ata the forefront of information management technology by adopting automation in the AI era and offering users a more efficient and customised experience. This abstract highlights the potential for major breakthroughs in the field of library science through the integration of artifical intellience , outlining the project's main goal and technique.

The Effect of Gamification on Employee Boredom and Performance†

ABSTRACTThis study investigates the effect of gamification on employee boredom and performance in a repetitive work process. In video games, loot is unpredictable, intermittent rewards used to motivate players to repeat boring actions. In a 2 × 1 laboratory experiment, I examine how gamification, featuring nonmonetary loot point rewards, may impact boredom and performance. I find that individuals have mixed opinions. On the one hand, they recognize the emotional value of gamification and find the repetitive work process more attractive. On the other hand, they experience a violation of fairness even though the point rewards do not impact their monetary payoff. My findings help reconcile the seemingly contradictory predictions from two sets of motivation theories. While some conventional theories (e.g., equity theory, expectancy theory, and agency theory) suggest that unpredictable rewards negatively affect motivation, both the reinforcement theory of motivation and findings from neuroscience research indicate a bright side to those rewards. Due to the countervailing effects, I do not find a significant difference in either boredom or performance between conditions. My results show that when gamifying repetitive work processes with unpredictable rewards such as loot points, managers need to address fairness concerns while maintaining the motivational properties of gamification.This article is protected by copyright. All rights reserved.

Pengaruh Clash Detection Pada Proses Perencanaan Biaya Pada Laboratorium PUT

One effort to avoid repetitive work due to errors in construction project planning can be detected from the start by implementing BIM (Building Information Modeling) which can carry out collision analysis (Clash detection) in each discipline of structural work, architecture, MEP and other disciplines. Before the existence of BIM, clashes that occurred in the building construction process were one of the factors causing work costs to increase. So implementing Building Information Modeling is one effort to avoid these problems. In this research, clash detection analysis will be carried out in the PUT Lab building in the structural, architectural and MEP work disciplines. The stages carried out in this research were first carrying out 3D Modeling using Autodesk Revit software on the PUT Lab building, then carrying out clash detection analysis using Autodesk Naviswork software and calculating the cost budget plan for each job affected by clash detection. After carrying out clash detection, clashes can be found that occur in the structural, architectural and MEP work disciplines which after calculating the budget plan can save work costs of up to 80 million rupiah.

Framework for evaluating code generation ability of large language models

AbstractLarge language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and introduce a new metric, , which captures the granularity of accuracy according to the pass rate of test cases. The framework is intended to be fully automatic to handle the repetitive work involved in generating prompts, conducting inferences, and executing the generated codes. A preliminary evaluation focusing on the prompt detail, problem publication date, and difficulty level demonstrates the successful integration of our framework with the LeetCode coding platform and highlights the applicability of the metric.

Corticosteroid Infiltration to Treat Shoulder Stiffness After Rotator Cuff Repair.

To investigate whether the preoperative shoulder range of motion (ROM), would increase the risk of postoperative shoulder stiffness, or whether it would be associated with other preoperative patient characteristics. The authors retrospectively analysed the 372 shoulders that underwent rotator cuff repair by 4 surgeons, between January 2010 and January 2011. All patients were followed up at 3 and 6 months by 2 independent observers to collect the ROM, including active forward elevation (AFE), passive forward elevation (PFE), and external rotation (ER), as well as subjective shoulder value (SSV). Of the initial cohort of 372 patients, 10 were lost to follow-up (2.7%), leaving a final cohort of 362 patients available for outcome assessment at a minimum follow-up of 6 months. Of the 362 patients, 281 did not require corticosteroid infiltration, 68 received corticosteroid infiltrations for shoulder stiffness with no apparent cause, and 13 received corticosteroid infiltrations for other reasons. None of the variables were associated with infiltration for shoulder stiffness. Older patients had greater SSV scores (β = 0.3; 95% CI [0.1, 0.6]; P = .015), while both manual and repetitive workers had lower SSV scores (β = -10.7; 95% CI [-15.8, -5.6]; P < .001, and β = -10.2; 95% CI [-15.1, -5.3]; P < .001). Postoperative SSV was significantly associated with age, as well as manual or repetitive work. Furthermore, postoperative PFE, AFE, and ER were significantly associated with preoperative PFE. Finally, at 3 and 6 months postoperative, patients who required infiltration for shoulder stiffness had significantly lower PFE, AFE, and ER compared to patients who did not require infiltration. IV, Case series.