The effects of ergonomic sleep mask use on sleep quality and comfort in intensive care patients.

This study was conducted to determine the effects of the use of ergonomic sleep mask on sleep quality and comfort in intensive care patients. This randomised controlled experimental study was completed with 128 surgical intensive care patients (control = 64, experimental = 64). During the second night of their stay in the unit, ergonomic sleep masks were given to the patients in the experimental group, and earplugs and eye masks were given to the patients in the control group. A Patient information form, Visual analogue scale for discomfort, and the Richard-Campbell sleep questionnaire were used to collect data. While 51.6% of the patients were female, the mean age of the patients was 63.87 ± 14.94 years. The highest rates of patients had undergone cardiovascular surgery (28.9%) and general anaesthesia (57.8%). It was determined that the sleep quality of the patients in the experimental group was statistically and clinically significantly higher after the intervention (50.86 ± 21.46 vs 37.64 ± 14.97, t = -5.355, Cohen's d = 0.450, p < 0.001). Likewise, the patients who used ergonomic sleep masks had a statistically significantly lower mean VAS for Discomfort score, and their comfort level was higher (p < 0.001), but the difference was not clinically significant (Cohen's d = 0.208). The results of this study showed that the use of ergonomic sleep masks in surgical intensive care patients had a more positive effect on both the sleep quality and comfort levels of patients compared with earplugs and eye masks. The use of an ergonomic sleep mask is recommended in the early period to facilitate sleep and rest in surgical intensive care patients.

Work-related musculoskeletal complaints and ergonomic risk factors among Egyptian anesthesiologists: a cross-sectional study.

BACKGROUND: Anesthesiologists are vulnerable to work-related musculoskeletal disorders (WMSDs) due to sustained repetitive movements and awkward postures. This study aimed to assess the prevalence of WMSDs among anesthesiologists and to evaluate its association with ergonomic risk factors. METHODS: A convenience sample of 380 Egyptian anesthesiologists were invited to participate in this cross-sectional study through an electronic questionnaire. Data were collected from May to August 2022 and involved questions about participants' demographic, health, and work-related characteristics; the ergonomic risks and perceived hazards; and the musculoskeletal complaints during the past 12 months and 7 days - using Nordic Musculoskeletal Questionnaire (NMQ). Descriptive, bivariate, and multivariate statistical analyses were used to estimate the prevalence of MSD and identify its determinants in the studied sample. RESULTS: A total of 215 anesthesiologists were included in this study, with a 56.8% response rate, 66% males with an average age of 38 (± 0.7) years. 21% were resident physicians, 47% were specialists, and 32% were consultants. The 12-month prevalence of MSD among anesthesiologists was 71.6% (95% CI: 65.6- 77.7%). Multivariate analysis showed that the main determinants of MSD among the studied sample were age of 45-years and older (OR: 3.22, 95% CI: 1.21-8.52, p = 0.018), regular physical exercise (OR: 0.25, 95% CI: 0.10-0.65, p = 0.005), insufficient rest time between procedures (OR: 2.25, 95% CI: 1.15-4.41, p = 0.018), and three or more awkward postures of the trunk (OR: 3.55, 95% CI: 1.43-8.82, p = 0.006). CONCLUSIONS: The study highlights a high prevalence of WMSDs among Egyptian anesthesiologists, linked to advancing age, lack of regular exercise, insufficient rest between procedures, and frequent awkward postures. Addressing these ergonomic risk factors through targeted workplace interventions is crucial for promoting the overall well-being of anesthesiologists and ensuring the provision of safe anesthesia services.

The Ergonomic Behaviors Evaluation Tool (EBET) based on social cognitive theory for the assembly line workers: development and psychometric assessment.

BACKGROUND: Ergonomic behaviors play a crucial role in preventing work-related musculoskeletal disorders (WMSDs). To measure these behaviors, this research aimed to develop and evaluate an ergonomic behaviors tool (EBET) based on the Social Cognitive Theory (SCT) among women workers on assembly lines (WwAL). METHODS: The study was conducted from December 2022 to January 2023 with a focus on the psychometric assessment of EBET. Initially, a literature review and interviews were carried out to identify crucial concepts and primary items. The questionnaire's validity was evaluated using the Content Validity Ratio (CVR) and the Content Validity Index (CVI). To determine the domains of the tool, construct validity was examined by administering the items to 270 eligible women. The reliability of the tool was assessed using McDonald's Omega coefficient. RESULTS: From a total of 67 primary items, 50 were confirmed. The study demonstrated good validity with CVR = 0.92 and CVI = 0.97, along with reliable results indicated by McDonald's Omega coefficient of 0.74. The exploratory factor analysis (EFA) revealed ten distinct dimensions: outcome expectations, outcome expectancies, normative beliefs, perceived barriers, social support, observational learning, reinforcement, behavioral skills, self-efficacy, and intention. Together, these dimensions accounted for 66.25% of the variance in the data. Additionally, the confirmatory factor analysis results supported the presence of these ten constructs and demonstrated a satisfactory fit. CONCLUSIONS: EBET is a dependable and valid instrument for evaluating the ergonomic behaviors of workers, utilizing the principles of SCT. Researchers can employ EBET to gather data and implement suitable training interventions to enhance ergonomic behavior among WwAL. However, it is crucial to recognize that EBET may not encompass all facets of ergonomic behaviors. Therefore, it is imperative for future research to prioritize the evaluation of EBET's suitability among diverse worker populations and to consider additional dimensions of ergonomics to ensure its wider applicability and effectiveness.

Association between ergonomic risk exposures and insomnia symptoms: a mediation analysis of the 5th Korean working conditions survey.

BACKGROUND: This study investigates the relationship between ergonomic risk exposures and insomnia symptoms, using data representative of Korea's general working population. METHODS: Data from the 5th Korean Working Conditions Survey were used for this study. The eligible population (employees) for the current study was 37,026. Insomnia symptoms were estimated using the minimal insomnia symptom scale (MISS) questionnaire. Logistic regression analysis was conducted to explore the association between ergonomic risks and insomnia symptoms. RESULTS: All the investigated ergonomic risks increased odd ratios (ORs) for insomnia symptoms: Tiring or painful positions (OR, 1.64; 95% CI, 1.43-1.88); lifting or moving heavy loads (OR, 2.33; 95% CI, 1.99-2.71); long periods of standing (OR, 1.47; 95% CI, 1.29-1.69); and repetitive hand or arm movements (OR, 1.46; 95% CI, 1.29-1.67). The mediated proportion of musculoskeletal pain was 7.4% (95% CI, 5.81-10.13), and the mediated proportion of feeling of exhaustion was 17.5% (95% CI, 5.81-10.13). CONCLUSIONS: This study provides evidence for the relationship between ergonomic risks and insomnia symptoms, for which musculoskeletal pains and the feeling of exhaustion may be potential mediators.

An Ergonomic Golf Grip Leads to Lower Forearm Muscle Activity - A Prospective Case Series of 30 Right-Handed Amateur and Professional Golfers.

BACKGROUND: The elbow is a common site for overuse injuries in golfers. Tendinopathies, such as medial and lateral epicondylitis, are frequently diagnosed in amateur and professional golfers. The aim of our study was to determine the effect of an ergonomic golf grip on forearm muscle activity during the five phases of the golf swing. METHODS: Thirty right-handed golfers with a mean age of 32 years (range, 18-70 years) and a mean handicap of 15 (range, 0-43) performed 10 golf swings with a standard and ergonomic golf grip respectively. The mean and maximum muscle activity of the Musculus (M.) extensor carpi radialis brevis (ECRB), M. flexor carpi ulnaris (FCU), M. pronator teres (PT) and M. biceps brachii (BB) of the lead and trail arms were assessed during the five phases of the golf swing using surface electromyography (EMG). Subgroup analyses were performed regarding sex, playing ability (handicap < 10 vs. ≥10), weekly playing time (≤ 5 h, 5-20 h, > 20 h) and preexisting elbow pain during golfing (VAS < 2 vs. VAS ≥ 2). Significance was set at p < 0.05. RESULTS: An ergonomic golf grip resulted in a reduction in muscle activity in at least one but up to three consecutive phases of the golf swing for the ECRB, FCU and PT of the lead arm and for the PT of the trail arm. Amateurs, a playing time < 20 h per week and golfers without preexisting elbow pain were factors that were associated with greater reductions in muscle activity. CONCLUSION: Forearm muscle activity can be decreased using an ergonomic golf grip, indicating the possible role of an ergonomic golf grip as a preventive measure against overuse syndromes such as medial and lateral epicondylitis. TRIAL REGISTRATION NUMBER: This study was retrospectively registered at the German Clinical Trials Register DRKS-ID: DRKS00033732 (01/03/2024).

Work-related musculoskeletal disorders among desludging operators in Uganda.

BACKGROUND: Despite the limited evidence, desludging operators remain at a heightened risk of work-related musculoskeletal disorders (WMSDs). This study established the prevalence and predictors of WMSDs among desludging operators in Uganda. METHODS: A digitalized structured questionnaire was used to collect cross-sectional data on musculoskeletal disorders and routine workplace activities from 303 desludging operators in 11 cities in Uganda. These cities were purposively selected based on the presence of a fecal sludge treatment plant or wastewater treatment plant. The Nordic Musculoskeletal Questionnaire (NMQ) was used to assess WMSDs. Simple random sampling with replacements was used to select respondents. Data were analyzed using STATA version 15.0. Modified Poisson Regression was used to measure the strength of association between the independent variables and WMSDs. RESULTS: A total of 303 study participants were interviewed (97.7% response rate). The average age of the respondents was 34.0 years (SD ± 9.8). The prevalence of WMSDs among desludging operators was 29.7%. The body parts affected by MSDs were; the elbow for 4.6% (14/303), shoulder for 5.0% (15/303), and wrist/hand for 6.3% (19/303) of the respondents. At multivariable analysis, after controlling for age, desludging operators' ability to influence the availability of equipment needed to do their work (APR = 0.45, 95% CI: 0.20-0.99), and feeling that everything done was an effort (APR = 1.70, 95% CI: 1.01-2.87) were significantly associated with WMSDs. CONCLUSION: The prevalence of WMSDs was high among desludging operators in Uganda. Desludging operators' ability to influence the availability of equipment needed to do their work and frequency of feeling that everything done was an effort were significantly associated with WMSDs. Interventions should focus on ensuring adequate provision of ergonomic equipment and promoting practices that reduce the physical strain associated with desludging tasks. Additionally, comprehensive training programs addressing proper lifting techniques and posture awareness could significantly mitigate the risk of WMSDs among desludging-operators.

Advancements in Aesthetic Breast Augmentation: Evaluating the Safety, Efficacy, and Naturalistic Outcomes of Ergonomix2 Implants.

BACKGROUND: This pioneering study evaluates the safety, efficacy, and Aesthetic outcomes of Ergonomix2 Motiva Ergonomic Implants in breast augmentation. It aims to assess their capability to offer more natural touch and dynamics, delineate the learning curve for surgical techniques, and examine their safety profile compared to Ergonomix1 implants. MATERIALS AND METHODS: A prospective cohort study was conducted, comparing 31 patients who received Ergonomix2 implants with a control group of 51 patients with Ergonomix1 implants. Eligible patients were those seeking Aesthetic breast augmentation without prior surgeries or chronic illnesses. Detailed documentation of surgical techniques, implant characteristics, and patient demographics was performed. The study assessed surgical learning curve, implant positioning accuracy, and short-term and early complications. Aesthetic outcomes were evaluated using the BreastQ questionnaire and quantitative elastography. RESULTS: Patients with Ergonomix2 implants showed significant improvements in Aesthetic outcomes, including breast contour symmetry and natural feel. The learning curve demonstrated a decrease in surgical time and higher implant positioning accuracy. The safety profile was favorable, with a low complication rate and high patient satisfaction levels. Ergonomix2 implants exhibited enhanced softness and pliability, closely mimicking natural breast tissue, as confirmed by elastographic analyzes. CONCLUSIONS: Ergonomix2 implants represent a significant advancement in Aesthetic breast surgery, offering natural-feeling and dynamically adaptable outcomes. Despite the promising results, the need for specialized surgical techniques and further research on long-term safety and efficacy is emphasized. This study contributes foundational knowledge to the field of ergonomic breast implants and their application in modern plastic surgery. LEVEL OF EVIDENCE II: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Optimising computer vision-based ergonomic assessments: sensitivity to camera position and monocular 3D pose model.

Numerous computer vision algorithms have been developed to automate posture analysis and enhance the efficiency and accuracy of ergonomic evaluations. However, the most effective algorithm for conducting ergonomic assessments remains uncertain. Therefore, the aim of this study was to identify the optimal camera position and monocular 3D pose model that would facilitate precise and efficient ergonomic evaluations. We evaluated and compared four currently available computer vision algorithms: Mediapipe BlazePose, VideoPose3D, 3D-pose-baseline, and PSTMO to determine the most suitable model for conducting ergonomic assessments. Based on the findings, the side camera position yielded the lowest Mean Absolute Error (MAE) across static, dynamic, and combined tasks. This positioning proved to be the most reliable for ergonomic assessments. Additionally, VP3D_FB demonstrated superior performance among evaluated models.Practitioner Summary: This study aimed to determine the most effective computer vision algorithm and camera position for precise and efficient ergonomic evaluations. Evaluating four algorithms, we found that the side camera position with VideoPose3D yielded the lowest Mean Absolute Error (MAE), ensuring precise and efficient evaluations.

Sustainable system of systems at work: unravelling (some of) the complexity of farmers' transition to sustainability.

To support sustainable development, several researchers in ergonomics propose a comprehensive approach to work situations or the systems in which they are embedded. This article empirically instantiates one of the proposed models - the Sustainable System of Systems (SSoS) model - in the case of the work of farmers engaged in agroecological transitions. It thus explores complexity regarding sustainability, and to highlight its contributions and limits. Based on a case study, our results illustrate how the macro, meso and micro levels of SSoS are finely articulated in workers' concerns, decisions, and trajectories to sustainability. We enrich this approach with a diachronic method to support the actors involved in such transitions as they navigate the complexities of sustainable transition.Practitioner summary: The research proposes insights into how farmers manage their transition to more sustainable practices, by revealing the various systems influencing that transition. It highlights: (1) farmers' development of a systemic and temporal approach to this transition, and the impacts that the different levels of the system have on one another; and (2) methodological issues related to the development of long-term ergonomic actions to support navigation and copying within the complexity of sustainable transition.

An integrated ergonomic risk assessment framework based on fuzzy logic and IVSF-AHP for optimising ergonomic risks in a mixed-model assembly line.

This study proposes a systematic approach to address ergonomic factors, including physical, environmental and psychosocial aspects, in solving assembly line balancing problems. A three-stage framework is developed, starting with determining weights for ergonomic risk assessment methods using the interval-valued spherical fuzzy analytical hierarchy process. In the second stage, a fuzzy logic model for integrated ergonomic risk assessment is constructed based on these weights, and the integrated ergonomic risk score is determined. In the third stage, a mathematical model is formulated to minimise the cycle time while balancing the ergonomic risk level. A case study conducted in a wire harness factory validated the effectiveness of the proposed approach, showing a 10-11% improvement in line efficiency and a 12-25% enhancement in ergonomic risk balancing performance. These findings underscore the potential benefits of implementing this approach, which can significantly improve occupational safety and overall performance.

This article presents a practical and systematic approach for enhancing ergonomic conditions in assembly lines. The proposed approach aims to balance the ergonomic risk level while minimising the cycle time by considering physical, environmental and psychosocial risk factors. A case study conducted in a wire harness factory demonstrated significant improvements in balancing ergonomic risks, highlighting the real-world applicability of this research.

The impact of remote work using mobile information and communication technologies on physical health: a systematic review.

Remote e-working with information and communication technology (ICT) has long been on the rise, with its implementation accelerated by mandatory working from home regulations during the COVID-19 pandemic. This systematic literature review summarises the influencing factors of ICT-based remote e-working (device types, duration of use, user interfaces, etc.) on the physical health (musculoskeletal system and eyes) of knowledge workers. A search in four electronic databases and a manual search in four German journals resulted in 21 articles being included in this review. A bias analysis was conducted for all articles. Unfavourable postures, inappropriate working devices and certain environmental factors may cause a range of physical complaints, even after comparably short periods of time. Mostly, these complaints are greater compared to those experienced when working on a fully equipped stationary computer. Therefore, remote e-working requires careful planning, awareness, and the willingness to embrace working situations that counteract these problems.

Different factors associated with remote e-working may influence physical health. This systematic literature review found that unfavourable postures, inappropriate working devices and certain environmental factors may cause physical complaints, even after short periods of time. Mostly, these complaints are greater compared to those experienced when working on a stationary computer.

Risk of symptomatic osteoarthritis associated with exposure to ergonomic factors at work in a nationwide Italian survey.

OBJECTIVE: The risk of developing osteoarthritis (OA) has been reported to increase with exposure to various ergonomic factors at work, although this finding is still debated in the literature. Aim of this study was to assess the association between prevalence of symptomatic OA and exposure to workplace ergonomic factors assigned through a job-exposures matrix (JEM). METHODS: The study population was composed of 24,604 persons of 40-69 years who participated in the National Health Survey 2013 and were employed at that occasion. Exposure to ergonomic factors was assigned to the study population through a JEM constructed from the Italian O*NET database, consisting of 17 physical factors, which were summed and averaged by job title (796 jobs) to obtain a combined exposure index. The outcome was self-reported OA characterized by moderate or severe limitations in daily activities. The relationship between OA prevalence and the combined exposure index in quartiles was examined using robust Poisson regression models adjusted for socio-demographics and potential confounders. RESULTS: In the analysis adjusted for age and gender, the risk of OA was increased by approximately 20-30% in the second and third quartiles, and by 80% in the highest exposure quartile, compared to the least exposed, with a risk attenuation by approximately 15-20% controlling for other significant covariates. CONCLUSION: Our results support a causal role of exposure to physical factors at work in the development of OA. As OA is associated with a great burden of disability, any effort should be made to reduce workers' exposure to ergonomic factors.

A first step towards a framework for interventions for individual working practice to prevent work-related musculoskeletal disorders: a scoping review.

BACKGROUND: Work-related musculoskeletal disorders (WMSDs) are a key topic in occupational health. In the primary prevention of these disorders, interventions to minimize exposure to work-related physical risk factors are widely advocated. Besides interventions aimed at the work organisation and the workplace, interventions are also aimed at the behaviour of workers, the so-called individual working practice (IWP). At the moment, no conceptual framework for interventions for IWP exists. This study is a first step towards such a framework. METHODS: A scoping review was carried out starting with a systematic search in Ovid Medline, Ovid Embase, Ovid APA PsycInfo, and Web of Science. Intervention studies aimed at reducing exposure to physical ergonomic risk factors involving the worker were included. The content of these interventions for IWP was extracted and coded in order to arrive at distinguishing and overarching categories of these interventions for IWP. RESULTS: More than 12.000 papers were found and 110 intervention studies were included, describing 810 topics for IWP. Eventually eight overarching categories of interventions for IWP were distinguished: (1) Workplace adjustment, (2) Variation, (3) Exercising, (4) Use of aids, (5) Professional skills, (6) Professional manners, (7) Task content & task organisation and (8) Motoric skills. CONCLUSION: Eight categories of interventions for IWP are described in the literature. These categories are a starting point for developing and evaluating effective interventions performed by workers to prevent WMSDs. In order to reach consensus on these categories, an international expert consultation is a necessary next step.

Effect of day time on smartphone use posture and related musculoskeletal disorders risk: a survey among university students.

BACKGROUND: Musculoskeletal disorders (MSDs) are one of the most important problems among young smartphone users worldwide. Portability leads to a wide variety of postures during the different activities of the day. The objective evaluation of these postures coupled with ergonomic tools allows evaluating the level of MSD risk to which users are exposed. METHODS: The purpose was to investigate the effect of the time of day on the posture adopted during smartphone use among university students. The study was conducted through a cross-sectional survey of 263 university sports students. Four time of day, i.e. morning, afternoon, evening and night, and a taxonomy of 41 postures called SmarTaxo were considered. SmarTaxo included 18 sitting, 11 standing, 10 lying and 2 walking postures and their ergonomic score. After checking the normality of the data, a non-parametric Kruskal-Wallis test was used to study the effect of the time of day on the use duration of the different postures. RESULTS: The total mean duration use per typical weekday was 5.39 ± 2.19 h for males and 5.15 ± 1.60 h for females with maximal duration during evening. The average smartphone use durations were statistically longer in afternoon and evening for all sitting (9.44 and 9.22 min respectively, p < 0.05) and calling (3.38 and 3.33 min respectively, p < 0.05) postures. The longest duration for standing postures was recorded for afternoon (8.91 min, p < 0.05). The lying postures were significantly more present in evening (19.36 min). Some postures were more used during a time of day. The side-lying posture was used more in evening and has an ergonomic score of 6, i.e. a high MSD risk. CONCLUSIONS: The survey showed that users are exposed to MSDs regardless of posture and time of day. Sitting postures are used more in the morning and afternoon while lying postures are used more in the evening. As long as the rate of use is so high (> 5 h per day), young people will remain highly exposed to MSDs.

Predictive factors of ergonomic behaviors based on social cognitive theory among women workers on assembly lines: application of Bayesian networks.

BACKGROUND: This study focuses on identifying the key factors associated with ergonomic behaviors (ERBE) among women workers on assembly lines (WwAL) to prevent musculoskeletal disorders (MSDs) caused by repetitive motions and unfavorable body postures. To achieve this objective, this study employed Bayesian networks (BN) analysis based on social cognitive theory (SCT). METHODS: A cross-sectional study was conducted to examine the predictive factors of ERBE among 250 WwAL from six different industries located in Neyshabur, a city in northeastern Iran. The study used a two-stage cluster sampling method for participant selection and self-report questionnaires to collect data on demographic characteristics, variables associated with SCT, ERBE, and the standard Nordic questionnaire. The collected data were analyzed using Netica and SPSS version 21, which involved statistical analyses such as independent t-tests, Pearson correlation, and ANOVA tests at a significance level of p < 0.05. BN analysis was conducted to identify the important factors that impact ERBE. RESULTS: The majority of individuals reported experiencing chronic pain in their back, neck, and shoulder areas. Engaging in physical activity, consuming dairy products, and attaining a higher level of education were found to be significantly associated with the adoption of ERBE p < 0.05. Among the various SCT constructs, observational learning, intention, and social support demonstrated the highest levels of sensitivity towards ERBE, with scores of 4.08, 3.82, and 3.57, respectively. However, it is worth noting that all SCT constructs exhibited a certain degree of sensitivity towards ERBE. CONCLUSIONS: The research findings demonstrate that all constructs within SCT are effective in identifying factors associated with ERBE among WwAL. The study also highlights the importance of considering education levels and variables related to healthy lifestyles when promoting ERBE in this specific population.

Musculoskeletal disorders among doctors and nursing officers : an occupational hazard of overstrained healthcare delivery system in western Rajasthan, India.

BACKGROUND: The present study was conducted to estimate the prevalence and distribution of MSDs in different anatomical regions among Doctors and NO and to determine their ergonomic risk factors and predictors. METHODS: This cross-sectional study was conducted in an apex institution in Western India. The socio-demographic information, medical and occupational history, and other personal and work-related attributes were captured using a semi-structured questionnaire, which was developed and finalized by piloting on 32 participants (who were not part of the study). Nordic Musculoskeletal and International Physical Activity Questionnaires were used to assess MSDs and Physical activity. Data were analyzed using SPSS v.23. Prevalence of Musculoskeletal Symptoms (M.S.), Multisite Musculoskeletal Symptoms (MMS), and Widespread Musculoskeletal Symptoms (WMS) were calculated. A comparison was made to estimate the burden and distribution of MSD among Doctors and Nursing officers. Logistic regression was applied to identify the predictors of MSDs and pinpoint the risk factors associated with MSDs. RESULTS: A total of 310 participants, of which 38.7% were doctors, and 61.3% were Nursing Officers (NOs) were included in the study. The mean age of the respondents was 31.63 ± 4.9 years. Almost 73% (95%CI: 67.9-78.1) of participants had MSD in the last 12 months, with approximately 41.6% (95%CI: 36.1-47.3) suffering from MSDs in the previous seven days of the survey. The lower back (49.7%) and the neck (36.5%) were the most affected sites. Working in the same position for a long time (43.5%) and not taking adequate breaks (31.3%) were the highest self-reported risk factors. Females had significantly higher odds of having pain in the upper back [aOR:2.49(1.27-4.85)], neck [aOR:2.15(1.22-3.77)], shoulder [aOR:2.8 (1.54-5.11)], hips [aOR:9.46 (3.95-22.68)] and knee [aOR:3.8(1.99-7.26)]. CONCLUSIONS: Females, who are NOs, work for > 48 h per week, and fall in the obese category were significantly at more risk of developing MSDs. Working in an awkward position, treating an excessive number of patients in a day, working in the same position for a long period, performing repeated tasks, and not having enough rest breaks were significant risk factors for MSDs.

UKA with a handheld robotic device results in greater surgeon physiological stress than conventional instrumentation.

PURPOSE: Poor ergonomics and acute stress can impair surgical performance and cause work-related injuries. Robotic assistance may optimize these psychophysiological factors during UKA. This study compared surgeon physiologic stress and ergonomics during robotic-assisted UKA (rUKA) and conventional UKA (cUKA). METHODS: Cardiorespiratory and postural data from a single surgeon were recorded during 30 UKAs, (15 rUKAs, 15 cUKAs). Heart rate (HR), HR variability, respiratory rate (RR), minute ventilation and calorie expenditure were used to measure surgical strain. Intraoperative ergonomics were assessed by measuring flexion/extension/rotation of the neck and lumbar spine, and shoulder abduction/adduction. RESULTS: Mean operative time was 32.0 ± 7 min for cUKA and 45.9 ± 9 min for rUKA (p < 0.001). Mean neck flexion was - 23.4° ± 13° for rUKA and - 49.1° ± 18 for cUKA (p < 0.001), while mean lumbar flexion was - 20.3° ± 30° for rUKA and - 0.4° ± 68° for cUKA (p = 0.313). Mean lumbar flexion was similar; however, a significantly greater percentage of time was spent in lumbar flexion > 20° during cUKA. Bilateral shoulder abduction was significantly higher for rUKA. Mean calorie expenditure was 154 cal for rUKA and 89.1 cal for cUKA (p < 0.001). Mean HR was also higher for rUKA (88.7 vs. 84.7, p = 0.019). HR variability was slightly lower for rUKA (12.4) than for cUKA (13.4), although this did not reach statistical significance (p = 0.056). No difference in RR or minute ventilation was observed. CONCLUSION: rUKA resulted in less neck flexion but increased shoulder abduction, heart rate, and energy expenditure. The theoretical ergonomic and physiologic advantages of robotic assistance using a handheld sculpting device were not realized in this study. LEVEL OF EVIDENCE: II.

Ergonomic learning curves on gynecological laparoendoscopic single-site (LESS) surgery.

BACKGROUND: Few previous studies have introduced general techniques to overcome the "chopstick effect" in laparoendoscopic single-site surgery (LESS). We aim to investigate and highlight the key ergonomic methodologies for gynaecologic LESS based on the surgeon's hands-on performance. METHODS: The first author surgeon A reviewed and analyzed the LESS procedures performed by herself and how she taught surgeon B from January 2021 to April 2022. The procedures were classified based on technical difficulty and learning periods, and the hands-on technical skills of LESS module were evaluated. RESULTS: Surgeon A conducted 580 LESS procedures, which were divided into the novice (n = 48) and intermediate (n = 33) periods, and the remaining cases were included in the routine period. We formed a special ergonomic LESS operating methodology: Maintain good LESS laparoscopic spatial sensation, keep hand-eye coordination, well cooperation between the main surgeon and the assistant; Experienced multiport laparoscopy surgery (MPS) skills, improve basic LESS technique: grasp, lift, transfer, place, blunt separating, coagulation and cutting. Coordination location, orientation, movements, and flexion or extension of shoulders, arms, elbow, wrist and finger joints; Maintain strength, tension and ambidexterity postures with joint and muscular efforts to control instruments. Surgeon B learned the above experiences by performing 39 LESS procedures under the guidance of surgeon A. CONCLUSION: This educational research sheds light on the common challenges faced in LESS and presents the importance of ergonomic hands-on performance skills in improving surgical outcomes, which could serve as a guide for future training and education in LESS.

Helping Surgeons' Hands: A Biomechanical Evaluation of Ergonomic Instruments.

PURPOSE: "Ergonomic" is a common descriptor for a desk or computer workspace but is a term rarely used to describe a surgical instrument. Instead, surgeons spend many hours in inconvenient positions, often using instruments that are not ergonomic. Improving the ergonomics of surgical instruments may decrease the required force for simple tasks and allow for more efficient surgery. METHODS: To evaluate the impact of ergonomic surgical instruments, the authors developed ergonomic screwdriver handles. The shape and size of these handles were engineered using previous dental studies and 3-dimensional modeling to create an ideal handle for specific glove sizes. Participants were recruited to test 3 different ergonomic handle sizes against a standard screwdriver while assessing digital peak force, digital contact area, and participant preference. Ten participants (3 women) with glove sizes ranging from 6 to 8 were evaluated. RESULTS: Ergonomic screwdriver handles sized for glove sizes 6 and 7 required significantly less thumb peak force than the standard screwdriver for all participants (702 N for glove size 6 and 567 N for glove size 7 ergonomic screwdrivers, vs 1780 N for "one size fits all" standard screwdriver). Participants consistently preferred screwdrivers that required lower thumb and index finger forces. All ergonomic handles required lower thumb and index finger force. Eighty percent of participants preferred a screwdriver modeled within 1 glove size of their own. CONCLUSIONS: Improved ergonomic handles require less force and are preferred by surgeons. CLINICAL RELEVANCE: The significant decrease in thumb peak force for glove sizes 6 and 7 suggests that there is room for ergonomic improvement in instruments, especially for surgeons with smaller hands. Manufacturing ergonomic screwdriver handles and using the evolving convenience of 3-dimensional printing may help to develop a more comfortable work environment for surgeons.

Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks.

Current methods for ergonomic assessment often use video-analysis to estimate wrist postures during occupational tasks. Wearable sensing and machine learning have the potential to automate this tedious task, and in doing so greatly extend the amount of data available to clinicians and researchers. A method of predicting wrist posture from inertial measurement units placed on the wrist and hand via a deep convolutional neural network has been developed. This study has quantified the accuracy and reliability of the postures predicted by this system relative to the gold standard of optoelectronic motion capture. Ten participants performed 3 different simulated occupational tasks on 2 occasions while wearing inertial measurement units on the hand and wrist. Data from the occupational task recordings were used to train a convolutional neural network classifier to estimate wrist posture in flexion/extension, and radial/ulnar deviation. The model was trained and tested in a leave-one-out cross validation format. Agreement between the proposed system and optoelectronic motion capture was 65% with κ = 0.41 in flexion/extension and 60% with κ = 0.48 in radial/ulnar deviation. The proposed system can predict wrist posture in flexion/extension and radial/ulnar deviation with accuracy and reliability congruent with published values for human estimators. This system can estimate wrist posture during occupational tasks in a small fraction of the time it takes a human to perform the same task. This offers opportunity to expand the capabilities of practitioners by eliminating the tedium of manual postural assessment.