Personal Training Research Articles

Body Safety Training Program for Children with Disabilities; A Case Study of Department of Special Education Punjab Pakistan

The current study aimed to implement and evaluate the effectiveness of a sexual abuse prevention training program to increase personal body safety skills in children having intellectual, hearing, visual or physical disability. A quasi-experimental design with Within-subject was used in which participants were compared on pre-test and post-test. A sample of 40 participants (n=20 boys, n=20 girls), age range 06-19, attended 8-week training were taken purposively. Personal Body Safety Training Program was used as school-based program which delivered the child sexual abuse prevention knowledge and self-protection school-based What If’ Situations Test used as pre and post result measure. The ‘What If’ Situations Test (WIST-III-R) contains six scales designed to assess children’s abilities to recognize, resist, and report inappropriate touching. Paired sample t test, independent t test and ANOVA were used for statistical analysis. The Results showed that by attending such programs, children with disabilities could increase their knowledge of personal safety skills and apply this knowledge in their day-to-day lives. Results showed significant differences between pre and post scores of participants after undergoing the Personal Body Safety Training Program. Moreover, a significant difference was found between participants disability wise in pretest and posttest scores but there was no significant difference observed between boys and girls. The study inculcated that the training contributed positively to the children’s sense of personal space and reporting skills.

Quality of life for older patients with metastatic cancer in Brazil: A telehealth-based geriatric assessment and supportive care intervention (GAIN-S).

1514 Background: Older adults with cancer often present unique geriatric and supportive care needs. We sought to evaluate the impact of a telehealth-based multimodal geriatric assessment (GA)-guided supportive care interventions (GAIN-S) program among older patients with metastatic cancer in a Brazilian cancer center. Methods: This is a randomized trial. Patients aged 65+ years with metastatic cancer, undergoing treatment, regardless of ECOG status, were enrolled. Following the baseline assessment, patients were randomized 1:1 to receive usual care or GAIN-S. The GAIN-S intervention provided remote, telehealth-based consultations with a nutritionist, psychologist, psychiatrist, and certified fitness trainer. At baseline and 3-months, patients were assessed for emotional symptoms (Geriatric Depression Scale), functional status (Instrumental Activities of Daily Living), coping (BriefCope), and quality of life (Functional Assessment of Cancer Therapy-General). Independent t-tests and linear mixed model were used. Results: Out of 86 approached patients, 80 were enrolled (40 per arm), with 3 deceased during treatment (usual care: 2, GAIN-S: 1). Most patients were female (56%), with a median age of 73 years (range, 65-68). Most common cancers were genitourinary (28%) and breast (23%). At baseline, there were no differences in the outcome measures between arms. However, from baseline to 3-months, patients assigned to GAIN-S had improvements in emotional symptoms, functional status, and quality of life compared to usual care (Table). Additionally, those assigned to GAIN-S reported increased utilization of active coping, acceptance, and positive reframing at 3-months. Conclusions: GAIN-S demonstrated significant improvements in emotional well-being, functional status, and quality of life among older patients with metastatic cancer. These findings underscore the potential of such telehealth-driven approaches to enhance the supportive care experience in diverse healthcare settings. [Table: see text]

Virtual Fitness Trainer Using AI: A Research Paper

Abstract: Our research delves into the creation of a Virtual Fitness Trainer using Artificial Intelligence (AI) to offer personalized workout guidance and real-time feedback. This project harnesses advanced computer vision, machine learning, and natural language processing techniques to develop an intelligent system capable of accurately detecting human poses, tracking exercise repetitions, and providing corrective feedback. Utilizing Python's OpenCV library to capture live webcam feeds, processed by MediaPipe's BlazePose tool for precise pose estimation, our application employs a novel topology with 33 keypoints, enhancing the accuracy of body movement analysis. The frontend interface, designed with Flask, HTML, CSS, and Bootstrap, ensures an intuitive user experience, allowing selection from various exercises such as squats, curls, jumping jacks, push-ups, lateral raises, and pull-ups. Each exercise page offers detailed instructions and demonstration videos for correct technique execution. The system processes live video streams frame-by-frame, converting them into formats suitable for pose analysis and accuracy assessment. BlazePose tracks user movements in real-time, displaying a 33-keypoint exoskeleton via OpenCV, aiding in understanding body movements and tracking progress through repetition counts. The system also provides real-time feedback on exercise form, suggesting corrective actions to optimize the workout and minimize injury risks. Our Virtual Fitness Trainer addresses the limitations of existing fitness apps by enabling accurate, independent home workouts, bridging the gap left by the absence of gyms and personal trainers. It highlights AI's potential in fitness, with future advancements expected to enhance gesture recognition, adaptive workout plans, and integration with biometric data from wearables. As AI algorithms evolve, the Virtual Fitness Trainer aims to become indispensable for achieving health and wellness goals, offering a convenient, engaging, and supportive platform.

Recommendations to Improve Neonatal Circumcision Training.

Although multiple specialties perform neonatal circumcision (NC), overall NC proceduralist availability is limited. The approach to training new practitioners varies. This study aims to describe NC training experiences, current practices, and make suggestions for future improvements. Perinatal physicians across 11 hospitals in a large Midwestern United States city who perform NC or who conduct newborn examinations and provide circumcision counseling were recruited for semistructured interviews about NC care. Interviews were transcribed; training-related comments underwent inductive and deductive qualitative coding. Themes related to circumcision training and recommendations for improving the experience of future circumcision learners were summarized. Twenty-three physicians (10 family medicine, 8 pediatrics, and 5 obstetrics; 78% currently perform circumcision) participated. All participants conducted newborn examinations and provided circumcision counseling, but only 21/23 were trained to perform circumcision. Several themes related to training emerged: (1) personal training experience, (2) training others to perform circumcision, and (3) current training needs and barriers. Most reported learning in residency by a "see one, do one, teach one" approach with minimal formal didactic or structured training. Compared with their personal experience, participants noted a shift toward more direct supervision and preprocedure preparation for current trainees. However, most reported that circumcision learning continues to be "hands-on." Participants desired a more structured approach for future trainees. Perinatal physicians noted a shift in the current NC training to a more hands-on approach than they experienced personally. Development of a structured NC curriculum was recommended to improve training.

Copper oxide nanoparticles modified electrodes for high-sensitivity detection of uric acid in athletes

This study introduces an innovative electrochemical sensor leveraging copper oxide nanoparticles for detecting uric acid levels in athletes with enhanced sensitivity and selectivity. Employing a novel synthesis protocol, uniform copper oxide nanoparticles were integrated into a chitosan-glutathione biogel matrix, creating a high-performance sensing electrode. The nanoparticles were extensively characterized using XRD, SEM, FTIR, and XPS techniques, confirming their crystalline structure, morphology, and purity. The average crystallite size was determined to be 18 nm. Electrochemical evaluation of the sensor using cyclic voltammetry and electrochemical impedance spectroscopy revealed significantly improved electron transfer kinetics and catalytic activity towards uric acid oxidation. The sensor exhibited a wide linear detection range from 1 μM to 1.2 mM, encompassing both physiological and pathological uric acid levels. Notably, the limit of detection was found to be 0.27 μM, surpassing the performance of most existing metal oxide based uric acid sensors. The sensor also demonstrated excellent anti-interference capability against commonly coexisting species in biological fluids. Furthermore, the practical applicability of the sensor was validated by successfully determining uric acid concentrations in human serum, plasma, and sweat samples, with impressive recovery rates ranging from 96% to 102%. The stability, reproducibility, and cost-effectiveness of the developed sensor make it a promising tool for routine health monitoring and early intervention in athletes, facilitating personalized training and preventing complications associated with uric acid imbalances. The present work offers a significant advancement in non-invasive, reliable, and efficient assessment of uric acid, with potential for widespread implementation in sports medicine and general healthcare.

A Prototype 3D Printed Suction Port Adapter for a Wireless Otoendoscope

ABSTRACTObjective: To design and fabricate a suction port adapter to use various sizes of suction cannulaswith a wireless otoendoscope enabling ear cleaning under endoscopic guidance demonstrated using an ear examination simulator. Methods:Design: Instrument InnovationSetting: Tertiary Private Training HospitalPatient: Ear Examination Simulator Results: The fabricated suction port adapters were able to hold the wireless otoendoscope and suction cannulas together, allowing simultaneous inspection of the ear canal and suctioning of ear canal debris using the Ear Examination Simulator Conclusion: Our prototype 3D-printed suction port adapters for a wireless otoendoscope mayimprove ear cleaning by enhancing the accuracy of suctioning debris and decreasing durationsince they hold the suction cannulas in place under endoscopic guidance. They may aid ENTphysicians in easier visualization and simultaneous ear cleaning of patients and improve earcleaning techniques and times, especially among less experienced physicians, but actual clinicaltrials are needed to confirm this.

Precancerous Change Detection Technique on Mammography Breast Cancer Images based on Mean Ratio and Log Ratio using Fuzzy c Mean Classification with Gabor Filter

The growing rate of breast cancer necessitates immediate global attention. Mammography images are used to determine the stage of malignancy. Breast cancer stages must be identified in order to save a person's life. This article's main goal is to identify different techniques to obtain the difference between two breast cancer mammography images taken of the same individual at different times. This is the first effort to identify breast cancer in mammography images using change detection techniques. The Mammogram Image Change Detection (ICD) technique is also a recent advancement to prevent breast cancer in the early stage and precancerous level in medical images. The main purpose of this work is to observe the changes between breast cancer images in different screening periods using different techniques. Mammogram Breast Cancer Image Change Detection (MBCICD) methods usually start with a Difference Image (DI) and classify the pixels in the DI into changed and unaffected classes using unsupervised fuzzy c means (FCM) clustering methods based on texture features taken from the log and mean ratio difference pictures. Two operators, mean ratio and log ratio, were used to check the changes in the images. The Gabor wavelet is utilized as a feature extraction technique among several standards. Using the Gabor wavelet ratio operators is a useful method for altering the detection of breast cancer in mammography images. Currently, it is challenging to obtain real malignant images of the same person for testing or training. In this study, two images are utilized. To clearly see the changes, one is an image from the MIAS breast cancer mammography images dataset, and the other is a self-generated change image. The research aims to examine the image results and other quantitative analysis results of proposed change detection methods on cancer images. The Mean Ratio Accuracy result is 0.9738, and the Log ratio PCC is 0.9737. The classification results are the Log Ratio + Gabor Filter + FCM is 0.9737, and Mean Ratio +Gabor Filter + FCM is 0.9719. The mean Ratio Accuracy result is 0.9738, Log ratio is 0.9737. Log Ratio + Gabor Filter + FCM is 0.9737, Mean Ratio +Gabor Filter + FCM is 0.9719. Comparing the PCC of proposed change detection methods with the FDA-RMG method on the same dataset, the accuracy is 0.9481 only. The study concludes that variations in mammography breast cancer images could be successfully identified using the ratio operators with Gabor wavelet features.

Global prototype distillation for heterogeneous federated learning.

Federated learning is a distributed machine learning paradigm where the goal is to collaboratively train a high quality global model while private training data remains local over distributed clients. However, heterogenous data distribution over clients is severely challenging for federated learning system, which severely damage the quality of model. In order to address this challenge, we propose global prototype distillation (FedGPD) for heterogenous federated learning to improve performance of global model. The intuition is to use global class prototypes as knowledge to instruct local training on client side. Eventually, local objectives will be consistent with the global optima so that FedGPD learns an improved global model. Experiments show that FedGPD outperforms previous state-of-art methods by 0.22% ~1.28% in terms of average accuracy on representative benchmark datasets.

Personal Hygiene Training for Children with Intellectual Disability

This community service program activity is driven by a sense of responsibility to improve the personal hygiene abilities for children with intellectual disability. Limited intellectual abilities and adaptive behavior of mentally retarded children have an impact on the ability or skills in taking care, maintaining health and personal hygiene. Based on this phenomenon, there is a need with a qualified training both for children with intellectual disability and other adults such as parents and teachers. This activity is provided with the provision of knowledge and skills in the form of training for parents and teachers as well as for children themselves on how maintaining their personal health and hygiene. The result obtained from this activity is an increase in the knowledge of parentsand teachers on how to guide, maintain and improve the health of children with intellectual disability. Meanwhile, for children with intellectual disability gradually can make efforts in maintaining personal hygiene and health based on their own levels of ability.

Anomaly detection and defense techniques in federated learning: a comprehensive review

In recent years, deep learning methods based on a large amount of data have achieved substantial success in numerous fields. However, with increases in regulations for protecting private user data, access to such data has become restricted. To overcome this limitation, federated learning (FL) has been widely utilized for training deep learning models without centralizing data. However, the inaccessibility of FL data and heterogeneity of the client data render difficulty in providing security and protecting the privacy in FL. In addition, the security and privacy anomalies in the corresponding systems significantly hinder the application of FL. Numerous studies have been proposed aiming to maintain the model security and mitigate the leakage of private training data during the FL training phase. Existing surveys categorize FL attacks from a defensive standpoint, but lack the efficiency of pinpointing attack points and implementing timely defenses. In contrast, our survey comprehensively categorizes and summarizes detected anomalies across client, server, and communication perspectives, facilitating easier identification and timely defense measures. Our survey provides an overview of the FL system and briefly introduces the FL security and privacy anomalies. Next, we detail the existing security and privacy anomalies and the methods of detection and defense from the perspectives of the client, server, and communication process. Finally, we address the security and privacy anomalies in non-independent identically distributed cases during FL and summarize the related research progress. This survey aims to provide a systematic and comprehensive review of security and privacy research in FL to help understand the progress and better apply FL in additional scenarios.

WELL-BEING AND WORK SPECIFICS FOR FITNESS TRAINERS IN LATVIA

The work-related load can cause serious health issues and discomfort. Ligament and muscle sprains and inflammations, psycho-emotional issues, burnout, and other problems among trainers are not treated in due course and contribute to the inability to work in the future. The profession of a fitness trainer is quite challenging – heavy workload, highly changing environment, noise, the risk factors, high responsibility, high flow of people, high competition, and a relatively low salary. Every day, fitness trainers help others to improve their health and appearance. However, trainers often forget about how much the specifics of their work can harm themselves. Therefore, the purpose of this study is to investigate the work specifics of fitness trainers and how it affects the well-being of trainers in Latvia. An anonymous online survey was conducted to achieve this goal. The survey consisted of 26 closed-ended questions with multiple-choice answers and the possibility to add one’s own response option. The survey was divided into blocks, namely qualification and work experience, work specifics and conditions, rest and recovery, and characteristics of well-being. In total, 141 fitness trainers from Latvia participated in the study, of which 92 were women and 49 were men. For data analysis, the SPSS 18.0 software was used for performing mathematical and descriptive statistics. Analysing the obtained results, it can be concluded that fitness trainers in Latvia have a very heavy workload on a daily basis, there is practically no opportunity to rest and recover between the training sessions, there are very few or no days off at all, there is often no time and energy to fully and qualitatively focus on one’s own body and physical form, and often there are no regular visits to qualified specialists who could help trainers to improve their own well-being. All of this contributes to the discomfort, pain, and ill health among fitness trainers on a daily basis. Therefore, this issue needs to be addressed at the industry level.

Musculoskeletal injury in military specialists: a 2-year retrospective study

BackgroundMilitary specialists are elite personnel who are trained to work across diverse operational environments where a high level of physical conditioning is a prerequisite for their role. Anecdotally, personnel are...

A Conceptual Model of Individual Clinical Readiness.

Force readiness is a priority among senior leaders across all branches of the Department of Defense. Units that do not achieve readiness benchmarks are considered non-deployable until the unit achieves the requisite benchmarks. Because military units are made up of individuals, the unit cannot be ready if the individuals within the unit are not ready. For medical personnel, this refers to one's ability to competently provide patient care in a deployed setting or their individual clinical readiness (ICR). A review of the literature found no conceptual model of ICR. Other potential concepts, such as individual medical readiness, were identified but used inconsistently. Therefore, the purpose of this article is to define ICR and propose a conceptual model to inform future efforts to achieve ICR and facilitate future study of the concept. Model development occurred using a 3-step theoretical model synthesis process. The process included specification of key concepts, identification of related factors and relationships, and organizing them into an integrated network of ideas. ICR is the clinically oriented service members' (COSM) ability to meet the demands of the militarily relevant, assigned clinical mission. ICR leads to one's "individual clinical performance," a key concept distinct from ICR. To understand ICR, one must account for "individual characteristics," as well as one's "education," "training," and "exposure." ICR and individual clinical performance are influenced by the "quality of exposure" and the "patient care environment." One's "individual clinical performance" also reciprocally influences the patient care environment, as well as the "team's clinical performance." These factors (individual clinical performance, team clinical performance, and the patient care environment) influence "patient outcomes." In the proposed model, patient outcomes are an indirect result of ICR and its antecedents (personal characteristics, education, training, and exposure); one's individual clinical performance may not be consistent with their ICR. Patient outcomes are also influenced by the "patient environment" (external to the health care environment) and "patient characteristics"; these elements of the model do not influence ICR or individual clinical performance. Force readiness is a Department of Defense priority. In order for military units to be deployment ready, so too must their personnel be deployment ready. For COSMs, this includes one's ability to competently provide patient care in a deployed setting or their ICR. This article defines ICR, as well as identifies another key concept and other factors associated with ICR. The proposed model is a tool for military medical leaders to communicate with and influence non-medical military leaders in the Department of Defense. Future research is needed to further refine the proposed model, determine the strength of the proposed relationships, and identify interventions to improve ICR.

Qualified fitness trainers practice scientifically based judgement in prescribing exercise programs

Fitness trainers are widely in demand by both commercial fitness centres and individual people. They serve members in one-to-one personal training (PT) or group training (GX) in commercial fitness centres. However, the services provided by fitness trainers have not been consistent across the industry. This service inconsistency has led to an increased doubt about professionalism in conducting safe and correct exercise for the public. No studies have evaluated how fitness trainers make decisions when they curate exercise programs for members. This research utilized a qualitative semi-structured interview method to collect data from 16 fitness trainers in Greater Kuala Lumpur, Malaysia. Inverview data was verbatim transcribed and analyzed using a theory-driven analysis. The study investigated fitness training professional decision-making processes when they design and precribe fitness execise programming to clients. Using Cognitive Continuum Theory (CCT) as a lens to explore the decision-making processes revealed a dichotomy of decision-making processes for curating personal training and group training. Feedback mechanism in the implementation of personal training was proven to be more personalized than group training. There are four themes in decision-making processed discovered to be impreative characteristics for fitness trainers. The application of CCT allowed further understanding of the implementation of exercise programs for PT and GX training when fitness trainers modified exercise programs.

An Interdisciplinary Collaboration to Reduce Weight Stigma Among Exercise Professionals

Weight stigma is the negative social judgment of people based on their weight. Despite the negative consequences of weight stigma, its prevalence is well-documented including within the physical activity (PA) landscape. Research shows that a wide range of PA-related professionals hold negative attitudes toward fat people, including physical education teachers, kinesiology students, and fitness trainers. This article describes a collaboration across disciplines and fields to develop a weight stigma reduction intervention for exercise professionals. Weight Inclusive Thinking for Fitness Spaces (WIT FITS) is a two-hour, self-paced, interactive online course grounded in the Health at Every Size® paradigm and research-informed strategies for improving exercise professionals’ attitudes toward fatness and fostering weight inclusivity in fitness settings. WIT FITS was the result of a three-year interdisciplinary collaboration with scholars from pedagogy, public health, sport and exercise psychology, and nutrition. Community partners involved in the development, implementation, and evaluation of WIT FITS included body liberation activists, web and instructional designers, and campus recreation leaders.

Augmenting complex and dynamic performance through mindfulness-based cognitive training: An evaluation of training adherence, trait mindfulness, personality and resting-state EEG.

Human performance applications of mindfulness-based training have demonstrated its utility in enhancing cognitive functioning. Previous studies have illustrated how these interventions can improve performance on traditional cognitive tests, however, little investigation has explored the extent to which mindfulness-based training can optimise performance in more dynamic and complex contexts. Further, from a neuroscientific perspective, the underlying mechanisms responsible for performance enhancements remain largely undescribed. With this in mind, the following study aimed to investigate how a short-term mindfulness intervention (one week) augments performance on a dynamic and complex task (target motion analyst task; TMA) in young, healthy adults (n = 40, age range = 18-38). Linear mixed effect modelling revealed that increased adherence to the web-based mindfulness-based training regime (ranging from 0-21 sessions) was associated with improved performance in the second testing session of the TMA task, controlling for baseline performance. Analyses of resting-state electroencephalographic (EEG) metrics demonstrated no change across testing sessions. Investigations of additional individual factors demonstrated that enhancements associated with training adherence remained relatively consistent across varying levels of participants' resting-state EEG metrics, personality measures (i.e., trait mindfulness, neuroticism, conscientiousness), self-reported enjoyment and timing of intervention adherence. Our results thus indicate that mindfulness-based cognitive training leads to performance enhancements in distantly related tasks, irrespective of several individual differences. We also revealed nuances in the magnitude of cognitive enhancements contingent on the timing of adherence, regardless of total volume of training. Overall, our findings suggest that mindfulness-based training could be used in a myriad of settings to elicit transferable performance enhancements.

PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation

Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks. We propose PrivatEyes - the first privacy-enhancing training approach for appearance-based gaze estimation based on federated learning (FL) and secure multi-party computation (MPC). PrivatEyes enables training gaze estimators on multiple local datasets across different users and server-based secure aggregation of the individual estimators' updates. PrivatEyes guarantees that individual gaze data remains private even if a majority of the aggregating servers is malicious. We also introduce a new data leakage attack DualView that shows that PrivatEyes limits the leakage of private training data more effectively than previous approaches. Evaluations on the MPIIGaze, MPIIFaceGaze, GazeCapture, and NVGaze datasets further show that the improved privacy does not lead to a lower gaze estimation accuracy or substantially higher computational costs - both of which are on par with its non-secure counterparts.

Fit-Sense AI

Sustaining a healthy lifestyle has grown more crucial in the fast-paced world of today. But not everybody has access to a personal trainer for fitness. This is where technology can become extremely important in increasing the accessibility and appeal of fitness. A project called "Fit- Sense AI” is an AI-powered fitness Trainer that uses OpenCV for computer vision, MediaPipe for position estimation, and artificial intelligence (AI) to build a virtual fitness trainer that you can use on your computer. The goal of this project is to offer people a customized, interactive fitness experience. It can follow the user's motions in real time and provide feedback and instructions for different exercises by using computer vision techniques. The AI fitness trainer will assess your technique while you're doing strength training or yoga poses and provide suggestions for improvement

Impacts of an abbreviated personal agency training with refugee women and their male partners on economic empowerment, gender-based violence, and mental health: a randomized controlled trial in Rwanda

IntroductionWe assessed the impact of a personal agency-based training for refugee women and their male partners on their economic and social empowerment, rates of intimate partner violence (IPV), and non-partner violence (NPV).MethodsWe conducted an individually randomized controlled trial with 1061 partnered women (aged 18–45) living in a refugee camp in Rwanda. Women received two days of training, and their partners received one day of training. The follow-up survey where all relevant outcomes were assessed was carried out at 6–9 months post-intervention.ResultsAt follow up, women in the intervention arm were more likely to report partaking in income generating activities (aIRR 1.27 (1.04–1.54), p < 0.05) and skill learning (aIRR 1.59 (1.39–1.82), p < 0.001) and reported a reduction in experience of physical or sexual NPV in the past six months (aIRR 0.65 (0.39–1.07), p < 0.09). While improved, no statistically significant impacts were seen on physical or sexual IPV (aIRR 0.80 (0.58–1.09), p = 0.16), food insecurity (β 0.98 (0.93 to 1.03), p = 0.396), or clean cookstove uptake (aIRR 0.95 (0.88 to 1.01), p = 0.113) in the past six months. We found statistically significant reduction in physical and sexual IPV amongst those experiencing IPV at baseline (aIRR 0.72 (0.50 to 1.02), p < 0.07). Small improvements in self-efficacy scores and our indicator of adapting to stress were seen in the intervention arm. Some challenges were also seen, such as higher prevalence of probable depression and/or anxiety (aIRR 1.79 (1.00-3.22), p = 0.05) and PTSD (aIRR 2.07 (1.10–3.91), p < 0.05) in the intervention arm compared to the control arm.ConclusionOur findings echo previous research showing personal agency training can support economic well-being of women. We also find potentially promising impacts on gender-based violence. However, there is some evidence that integration of evidence-based mental health support is important when enhancing agency amongst conflict-affected populations.Trial registration numberThe trial was registered with ClinicalTrials.gov, Identifier: NCT04081441 on 09/09/2019.

Health Profile of Workers at Gas Station X Maulafa District Kupang City

Gas stations are areas that operate in the petroleum sector where repeated exposure to the products produced (butane, pentane, isopentane, benzene, alkylbenzene, toluene, and xylene) can have an impact in the form of health problems. The individuals with the greatest exposure to gas station products are the workers. According to data, during the period from 2016 to 2018 there were 120 cases of work accidents around gas stations. The use of Personal Protective Equipment (PPE) and training regarding the prevention for the worker and management of accidents and illnesses resulting from working at gas stations are important in ensuring worker safety. According to research that has been conducted, it was found that the use of Personal Protective Equipment (PPE) is still very low among Gas Station X workers, Maulafa District, Kupang City. Training and equipment that support Occupational Safety and Health programs are also not available to the majority of workers. This is the cause of health problems among Gas Station X workers, Maulafa District, Kupang City. Method: This research is a quantitative study with a cross sectional approach and involved 12 respondents. This study data collection techniques by interview dan physical examination directly to the samples at Gas Station X Maulafa District, Kupang City. Result: Based on the research results, it was found that the majority of Gas Station The health problems found were Peripheral Vertigo (16%), Tension Type Headache (TTH) (8%), Allergic Rhinitis (8%) and Irritant Contact Dermatitis (8%). Conclusion: An occupational risk factor that can affect the occupational safety and health of employees at GAS STATION X is exposure to fuel oil which contains volatile substances. It was found that 4 out of 12 workers at the gas station in Maulafa District, Kupang City experienced health problems, the health problems they experienced were Peripheral Vertigo, Tension Type Headache, Allergic Rhinitis and Irritant ...........