Individual Mobility Research Articles

A “social cure” for minority stress? Individual and collective identity strategies on the mental health outcomes of lesbian and gay people

ABSTRACT Lesbian and gay (LG) people experience minority stressors, resulting in adverse mental health outcomes. To cope, many LG people engage in individualistic or collectivistic strategies, that is, self-distancing or connecting with their in-group, the LGBTQ+ community. Even though research suggests what may help LG people cope with minority stress, it is less clear how and under which conditions they do so. In this study, we examine how LG people employ individualistic and collectivistic strategies and what that entails for the negative relationship between minority stress and mental health. A total of 199 responses from British LG people were collected via the online crowdsourcing platform Clickworker. A custom mediation model indicated that, for collectivistic strategies, higher levels of minority stress were associated with increased LGBTQ+ community identification, and LGBTQ+ identification was positively related to high LGBTQ+ social support; in turn, LGBTQ+ social support was associated with positive mental health outcomes. For individualistic strategies, results show higher minority stress was related to an increased likelihood of individual mobility, but individual mobility was not associated with mental health outcomes. These findings highlight how collectivistic responses to minority stress might prove more reliable than individualistic ones in enhancing the mental health of LG people.

Inequities in the green transition: anti-mining protests in the European periphery

Supposed green technological fixes to the climate crisis necessitate the mining of raw materials such as lithium en masse, spurring the proliferation of mining globally and the associated social and ecological harms. Major economies are engaged in a resource race for critical raw materials that are indispensable inputs for electric vehicles and digital technologies in the green transition and fourth industrial revolution (Kalantzakos, 2020; Kalantzakos et al, 2023). As this race materialises, so too has resistance and contestation on the proposed mining sites. This article engages with the critical literature on ecologically unequal exchanges (Hornborg, 1998; 2014; 2016) and extractivism (Acosta, 2013) to explore protracted civil society resistance to two lithium mining projects in rural and agrarian regions of Serbia and Portugal. The European Union is pursuing a dual agenda of decarbonising personal use transport and resource autonomy in an increasingly shifting geopolitical order; in turn a massive effort for onshoring mining activities is underway in Europe. The author argues that recent policy enactments by the European Union for onshore mining produces ecological and social harms in rural and agrarian areas and is illustrative of an unequal ecological and economic exchange. Agrarian and subsistence livelihoods are affected in pursuit of green technological solutions, highlighting the contradictory character of the green transition under capitalism and ultimately advocates for a degrowth position.

Finance and intergenerational mobility: Evidence from US banking reforms

We investigate the impact of US banking industry deregulation on intergenerational mobility. In order to do so, we use a quasi-natural experimental research design to investigate how a change in state level bank competition (following geographic deregulation) affects the intergenerational mobility of individuals born to (poorer) families at the lower end of the income distribution. We find that individuals born to poorer families who spend their first years as adults in an area with a more competitive banking system, experience higher mobility relative to counterparts located in areas characterised by lower levels of bank competition. Increased educational opportunities and entrepreneurship are important underlying factors driving the observed increases in intergenerational mobility.

Quantifying the Co-benefits of Air Pollution and Greenhouse Gas emission mitigation by operating Metro Line 1 in Ho Chi Minh City, Vietnam

Abstract Motorcycles, cars, and buses in urban areas contribute significantly to greenhouse gas (GHG) emissions and air pollutants. Particularly, Ho Chi Minh City (HCMC) has the highest vehicle traffic intensity in Vietnam. To improve the traffic system, HCMC has implemented urban railway projects, and this research aims to quantify the co-benefits of these public transport systems. The study used the EMISENS model and the TAMP-EARMOD simulation model system to assess the current situation and to predict the GHG and air pollution emissions when Metro Line 1 (Ben Thanh – Suoi Tien) operates stably. The reduction of air pollution and GHG is calculated to identify the co-benefits when a part of personal transport means is substituted by Metro Line 1. The results show that, if Metro Line 1 is put into operation and reaches 80% of its transport capacity, the air emissions on the route parallel to Metro Line 1 decrease 429.94 tons/year, 13,639.32 tons/year, 11.36 tons/year, 1,137.84 tons/year, 24.27 tons/year for NOx, CO, SO2, NMVOC, and PM2.5, respectively. Importantly, the emission of CO2eq reduces above 49.6 million tons per year, equivalent to 25.4%. Based on these results, the study proposes measures to optimize the deployment of Metro Line 1 to maximize the attainment of co-benefits.

ADAS and automation-arelevant contribution to maintaining mobility of older drivers?

Driving is the most important and safest form of mobility for the majority of senior citizens. However, physical and mental performance gradually decline with age, which can lead to more problems, critical situations or even accidents. Vehicle technology innovations such as advanced driver assistance systems (ADAS) have the potential to increase the road safety of older people and maintain their individual mobility for as long as possible.This overview article aims to identify ADAS that have the greatest potential to reduce the number of accidents involving older drivers. For this purpose, the accident and damage occurrence as well as the driving behaviour and compensation strategies of older people are examined in more detail. Suitable ADAS should compensate for typical driver errors, reduce information deficiencies and have ahigh level of acceptance. For older drivers, emergency braking, parking assistance, navigation, intersection assistance and distance speed control systems as well as systems for detecting blind spots and obstacles appear to be particularly suitable.Some of the disadvantages of ADAS are the lack of market penetration, acceptance problems and interface designs that have not yet been optimally adapted to the needs of older users. For older drivers in particular, it appears to be apriority to develop coherent and integrated solutions in the sense of cooperative assistance instead of pushing ahead with high and full automation with many system limits and exceptions, which can place high demands on attention, for example if the vehicle has to be taken over in acritical situation.

Bikeability of road segments: An open, adjustable and extendible model

Providing adequate infrastructure for cycling is crucial for increasing its modal share and for supporting the shift towards sustainable mobility. To foster well-targeted, efficient, and effective improvements of infrastructure in favor of cycling, we need data and methods for assessing its current state in an automated, scalable, and reproducible way. Present models are limited due to dependency on proprietary and/or scarce data, being closed-source and not taking into account the many nuances of bikeability on segment scale. Therefore, we propose an open, adjustable, and extendible model of bikeability that relies on open and globally available data sets. It allows to consider aspects of safety, comfort, and the immediate environment. Results from an evaluation study show its applicability while underlining the importance of considering diversity in regional, individual, and purpose-related mobility demands. Future bikeability research may be informed by results of the online survey conducted as part of the evaluation study. The proposed bikeability model can form the foundation for advanced network and accessibility analysis and serves as an important information layer for decision making.

Urban greenway planning: Identifying optimal locations for active travel corridors through individual mobility assessment

Greenways are planned for various goals including nature conservation and promoting mobility by foot or bike in urban areas. A challenge associated with designed greenways pertains to their underutilization for mobility. Due to their multi-functionality greenways are usually not designed with a focus on active mobility, and thus, do not necessarily correspond with daily mobility patterns. This study addresses this issue by devising a methodology for the identification of optimal locations for active urban greenways within a metropolitan expanse, strategically aligned with the day-to-day pursuits of its inhabitants. Distinguished from prior greenway research, this investigation emphasizes individual mobility and adds a novel perspective to greenway planning. The method was tested in the city of Mashhad in Iran. By employing the Analytic Hierarchy Process methodology in conjunction with a Geographic Information System (GIS) and a gravity formula, a meticulous selection process yielded 19 nodes (sites) deemed most suitable for greenway implementation, selected from a pool of 93 prospective nodes. These findings offer pragmatic insights into the expansion of greenways tailored to the daily activities of urban inhabitants, thus complementing established greenway paradigms and strengthening the mobility dimension and active travel corridors in urban greenway planning.

Self-Report and Performance-Based Measures for Pelvic Girdle Pain During Pregnancy

Purpose: The purpose of this cross-sectional study was to quantify functional mobility in pregnant individuals during the second and third trimesters, both with and with no pelvic girdle pain, using performance-based measures as compared with self-report tools. Methods: Study participants included 58 individuals between 18 and 45 years of age in the second or third trimesters of pregnancy who were categorized by pelvic girdle pain ratings and positive screening results. Participants completed the Pelvic Girdle Questionnaire (PGQ) and the Pelvic Floor Impact Questionnaire (PFIQ), and were evaluated by accelerometry during quiet standing, straight-line walking, and the Timed Up and Go (TUG) test. Results: The majority of performance measures captured using accelerometry were not statistically different between the Pain and Control groups. However, turning velocities were lower in the third trimester group during turning phases of the TUG (P < .006). Pain and No Pain groups differed in the distribution of PFIQ responses on Chores (P < .001), Exercise (P < .001), Travel (P = .012), and Frustration (P < .001). A statistical difference was present between the Pain and Control groups in PGQ total score (P < .001), and response distributions were statistically different on multiple PGQ items. Discussion: For pregnant individuals, accelerometry-based performance measures do not appear to detect difficulty with mobility, which may begin to be reported during the second trimester. Patient-report outcome tools may help clinicians capture movement difficulty and address biopsychosocial factors that impact pelvic girdle pain associated with pregnancy.

A GIS-Based Framework for Synthesizing City-Scale Long-Term Individual-Level Spatial–Temporal Mobility

Human mobility data are crucial for transportation planning and congestion management. However, challenges persist in accessing and using raw mobility data due to privacy concerns and data quality issues such as redundancy, missing values, and noise. This research introduces an innovative GIS-based framework for creating individual-level long-term spatio-temporal mobility data at a city scale. The methodology decomposes and represents individual mobility by identifying key locations where activities take place and life patterns that describe transitions between these locations. Then, we present methods for extracting, representing, and generating key locations and life patterns from large-scale human mobility data. Using long-term mobility data from Shanghai, we extract life patterns and key locations and successfully generate the mobility of 30,000 virtual users over seven days in Shanghai. The high correlation (R² = 0.905) indicates a strong similarity between the generated data and ground-truth data. By testing the combination of key locations and life patterns from different areas, the model demonstrates strong transferability within and across cities, with relatively low RMSE values across all scenarios, the highest being around 0.04. By testing the representativeness of the generated mobility data, we find that using only about 0.25% of the generated individuals’ mobility is sufficient to represent the dynamic changes of the entire urban population on a daily and hourly resolution. The proposed methodology offers a novel tool for generating long-term spatiotemporal mobility patterns at the individual level, thereby avoiding the privacy concerns associated with releasing real data. This approach supports the broad application of individual mobility data in urban planning, traffic management, and other related fields.

Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance

AbstractMaintaining the capacity for sit-to-stand transitions is paramount for preserving functional independence and overall mobility in older adults and individuals with musculoskeletal conditions. Lower limb exoskeletons have the potential to play a significant role in supporting this crucial ability. In this investigation, a deep reinforcement learning (DRL) based sit-to-stand (STS) controller is developed to study the biomechanics of STS under both exoskeleton assisted and unassisted scenarios. Three distinct conditions are explored: 1) Hip joint assistance (H-Exo), 2) Knee joint assistance (K-Exo), and 3) Hip-knee joint assistance (H+K-Exo). By utilizing a generic musculoskeletal model, the STS joint trajectories generated under these scenarios align with unassisted experimental observations. We observe substantial reductions in muscle activations during the STS cycle, with an average decrease of 68.63% and 73.23% in the primary hip extensor (gluteus maximus) and primary knee extensor (vasti) muscle activations, respectively, under H+K-Exo assistance compared to the unassisted STS scenario. However, the H-Exo and K-Exo scenarios reveal unexpected increases in muscle activations in the hamstring and gastrocnemius muscles, potentially indicating a compensatory mechanism for stability. In contrast, the combined H+K-Exo assistance demonstrates a noticeable reduction in the activation of these muscles. These findings underscore the potential of sit-to-stand assistance, particularly in the combined hip-knee exoskeleton scenario, and contribute valuable insights for the development of robust DRL-based controllers for assistive devices to improve functional outcomes.

Factors that influence the criminal justice response to human trafficking: a systematic review of North American and European studies

Human trafficking, the recruitment and transportation of persons by use of force, coercion, or deception for exploitation is one of the largest illicit industries worldwide. In the execution of anti-trafficking policies to combat this phenomenon, nation-states have assigned a decisive role to criminal justice actors as they are not only responsible for the detection, investigation, and prosecution of perpetrators but also for the identification and (legal) protection of victims of human trafficking. However, research has shown that criminal justice actors encounter many challenges whilst carrying out their tasks, which is also reflected in the low numbers of successful prosecutions and identified victims. To our knowledge, the reasons behind this observation have never been studied systematically. This systematic review aims to collect and synthesise empirical literature on factors that influence the criminal justice response to human trafficking to better understand and identify gaps in knowledge. In total, 35 empirical studies were included. Findings were discussed in light of theory and previous research and were used to provide recommendations for policy and future research. These studies suggest that factors such as prevailing stereotypes, an absence of legal guidance and a lack of capacity and expertise interact and even amplify each other and that strengthening the criminal justice response to human trafficking requires a multi-layered approach that simultaneously addresses several challenges.

Social mobility and CCT programs: The Bolsa Família program in Brazil

We investigate long-term outcomes related to social mobility and their determinants for low-income Brazilian households. More precisely, the first cohorts of beneficiaries of the Conditional Cash Transfer (CCT) program Bolsa Família (BFP); children aged between 7 and 16 in 2005, who are tracked for over a decade, until 2019. We use individual-level administrative data to analyze our two indicators of social mobility: (i) future emancipation from federal government social programs, and (ii) access to the formal labor market. We observe that formerly vulnerable children, beneficiaries of the CCT, find themselves in better socioeconomic conditions in adulthood. While 64 % of them, aged between 21 and 30 years in 2019, were no longer beneficiaries of federal government social programs, 45 % accessed the formal labor market at least once between 2015 and 2019. We also compare the characteristics of the formal employment they access with those of non-BFP beneficiaries during the same period. They have worse employment conditions, although better than informal positions typical of their parents. Furthermore, we investigate the association between local sociodemographic characteristics and individual social mobility. We find significant territorial heterogeneity associated with differences in better health and education infrastructures, and local economic activity.

Assessment of Overall Treatment Time in Curative Radiotherapy

In radiotherapy, spread is a radiobiological parameter that corresponds to the total duration of treatment expressed in days. The objective of the study is to evaluate adherence to the theoretical spread among patients receiving curative irradiation.This was a prospective study conducted within the radiotherapy department at the National Oncology Institute of Rabat, including 285 patients receiving curative irradiation, regardless of tumor localization, from December 1, 2021, to February 28, 2022. Reasons for missed sessions were collected during end-of-treatment consultations.The median age of our patients was 47 years (range: 36-78 years), with 62% being female and 38% male. Among them, 47.3% were employed. Transportation methods varied; public transportation accounted for 59.2%, taxis for 9.1%, and only 8.7% used personal transportation. Travel time from home to the oncology institute was less than 20 minutes for 12.6% of patients, between 20 and 60 minutes for 75.7%, and over 60 minutes for 11.7%. The most common tumor sites were the breast in 32.2% of cases and the prostate in 23.5% of patients. The theoretical spread was adhered to in 29.8% of cases. In 56.4% of cases, the extension was between 1 and 5 days, and in 13.3% of cases, it was between 6 and 12 days.Causes of spread extension were diverse, with equipment breakdowns and maintenance accounting for 52.1% of cases, intercurrent illness for 10%, holidays for 16%, and treatment refusal for 0.6%. Evaluation of spread in radiotherapy is crucial as it represents a significant factor in local recurrence and indirectly affects distant progression, especially with prolonged treatment durations.

Immediate effects of Kinesio Taping ® on respiratory parameters in healthy individuals

BackgroundKinesio taping® (KT) could facilitate respiratory muscle contraction, improving breathing. Therefore, this study aimed to analyze the immediate effects of KT application on thoracoabdominal mobility, vital capacity, and respiratory muscle strength of healthy young individuals. MethodsThis clinical trial included 19 healthy individuals, measuring their maximum inspiratory and expiratory pressure, vital capacity, and thoracoabdominal mobility using cirtometry. Participants were evaluated, and KT was applied below the xiphoid process; then, they were reassessed 15 min after the application. ResultsThe thoracoabdominal mobility did not significantly change the axillar (84.2 ± 6.6 cm vs 83.6 ± 6.1 cm; p = 0.116), xiphoid process (74.2 ± 8.8 cm vs 74.2 ± 8.63 cm; p = 0.805), and umbilical (73.7 ± 8.1 cm vs 74.2 ± 8.35 cm; p = 0.344) circumferences. Additionally, the vital capacity (3.8 ± 1.0 L vs 3.5 ± 1.3 L; p = 0.097), the maximal inspiratory pressure (−85.3 ± 31.7 cmH2O vs −79.5 ± 34.7 cmH2O; p = 0.265), and maximal expiratory pressure (63.9 ± 31.8 cmH2O vs 59.5 ± 36.1 cmH2O; p = 0.277) were not significantly different. ConclusionsKT showed no immediate effect on thoracoabdominal mobility, vital capacity, and respiratory muscle strength of healthy young adults. Future studies should investigate the effects of KT applied for a longer time (i.e., long-term effects). Furthermore, individuals with respiratory diseases could be evaluated, especially those presenting dysfunction in the rib cage morphology.

Are healthy ageing trajectories suitable to identify rehabilitation needs of the ageing population? An exploratory study using ATHLOS cohort data.

The ageing process is highly heterogeneous leading to diverse ageing trajectories. Such trajectories have been modelled to study trends and determinants of ageing and could potentially be used to inform the planning of rehabilitation services at population level. The objective of this paper was to explore whether healthy ageing trajectories are suitable to identify targets for rehabilitation interventions for the ageing population. Data from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonized cohort and the English Longitudinal Study of Ageing (ELSA), which is included in ATHLOS, were used. Growth mixture models were implemented to replicate healthy ageing trajectories modelled elsewhere as 'high stable', 'low stable', and 'rapid decline'. Regularized partial correlation networks were used to estimate expected-influence and bridge expected-influence centrality measures. Healthy ageing trajectories modelled with ATHLOS (N = 131116) and ELSA (N = 14904) were consistent with previous work. At the first individual wave, prevalence of problems of respondents in the 'high stable' and 'rapid decline' trajectories were comparable; at the last individual wave, prevalence remained similar for the 'high stable' but increased substantially in all domains for the 'rapid decline' trajectory. Expected-influence centrality measures provided different results than prevalence estimates. For instance, in the first individual wave mobility and carrying, moving, and handling objects had highest impact on overall functioning for the 'rapid decline' and 'high stable' trajectories, while the most prevalent functioning problems concerned cognition, pain, as well as energy and drive functions. Our study stressed the relevance of healthy ageing trajectories for identifying functioning domains and categories that need to be targeted by rehabilitation services in a heterogeneous ageing population. The use of such trajectories at country level has the potential to make a meaningful contribution to the planning and delivery of rehabilitation interventions through health systems and to informed policy making.

Privacy Preserving Human Mobility Generation Using Grid-Based Data and Graph Autoencoders

This paper proposes a one-to-one trajectory synthetization method with stable long-term individual mobility behavior based on a generalizable area embedding. Previous methods concentrate on producing highly detailed data on short-term and restricted areas for, e.g., autonomous driving scenarios. Another possibility consists of city-wide and beyond scales that can be used to predict general traffic flows. The now-presented approach takes the tracked mobility behavior of individuals and creates coherent synthetic mobility data. These generated data reflect the person’s long-term mobility behavior, guaranteeing location persistency and sound embedding within the point-of-interest structure of the observed area. After an analysis and clustering step of the original data, the area is distributed into a geospatial grid structure (H3 is used here). The neighborhood relationships between the grids are interpreted as a graph. A feed-forward autoencoder and a graph encoding–decoding network generate a latent space representation of the area. The original clustered data are associated with their respective H3 grids. With a greedy algorithm approach and concerning privacy strategies, new combinations of grids are generated as top-level patterns for individual mobility behavior. Based on the original data, concrete locations within the new grids are found and connected to ways. The goal is to generate a dataset that shows equivalence in aggregated characteristics and distances in comparison with the original data. The described method is applied to a sample of 120 from a study with 1000 participants whose mobility data were generated in the city of Munich in Germany. The results show the applicability of the approach in generating synthetic data, enabling further research on individual mobility behavior and patterns. The result comprises a sharable dataset on the same abstraction level as the input data, which can be beneficial for different applications, particularly for machine learning.

Transformer with Selective Shuffled Position Embedding and key-patch exchange strategy for early detection of Knee Osteoarthritis

Knee OsteoArthritis (KOA) is a widespread musculoskeletal disorder that can severely impact the mobility of older individuals. Insufficient medical data presents a significant obstacle for effectively training models due to the high cost associated with data labeling. Currently, deep learning-based models extensively utilize data augmentation techniques to improve their generalization ability and alleviate overfitting. However, conventional data augmentation techniques are primarily based on the original data and fail to introduce substantial diversity to the dataset. In our study, we introduce a unique method that utilizes the Vision Transformer (ViT) model, enhanced by our newly developed Selective Shuffled Position Embedding (SSPE) and key-patch exchange techniques. These innovations generate varied input sequences, serving as a data augmentation strategy for improving KOA classification. More specifically, we fix and shuffle the position embeddings of key patches and non-key patches, respectively. Then, for the target image, we randomly select other candidate images from the training set to exchange their key patches and thus obtain different input sequences. Finally, a hybrid loss function is developed by incorporating multiple loss functions for different types of the sequences. According to the experimental results, the generated data are considered valid as they lead to a notable improvement in the model’s classification performance.

Mating behaviour in ageing Teratorhabditis palmarum (Nematoda: Rhabditida)

ABSTRACT Teratorhabditis palmarum Gerber and Giblin-Davis, 1990, a free-living nematode, is able to produce hundreds of thousands of offspring in a short time. Reproduction is the main feature that defines life and, therefore, it plays an important role in determining what kinds of selective parameters play a powerful role in the maturity and evolution of mating systems. In the present study, we estimated the features of mating behaviour of Teratorhabditis using long-time microscopic videography and repeated observations. The mating behaviour of Teratorhabditis could be separated into a series of successive behaviours, including pre-mating (searching and contacting), mating (copulating) and post-mating (enduring). Here, we present the mating behaviour of 2- and 10-day-old virgin males and females. The mean time of the four phases – searching, contacting, copulating and enduring – varied significantly, at 24.6 ± 4.6 min, 36 ± 5.7 min, 31 ± 4.1 min and 10 ± 2.3 min in 2-day-old and 38.2 ± 3.3 min, 44.3 ± 5.0 min, 39 ± 4.3 min and 11 ± 3.2 min in 10-day-old individuals, respectively. Attraction between the sexes was observed, indicating the probable involvement of sex pheromone(s) in mating behaviour. In all age groups of males there was a significant increase in the duration of mating as the females aged. As the mobility of ageing individuals was reduced, this may have directly influenced the durations of the various phases of mating behaviour.

Muscle Mass Adjusted by Body Height is not Correlated with Mobility of Middle-Aged and Older Adults

BackgroundLow muscle mass and obesity are associated with mobility disability, cardiometabolic diseases, and loss of independence. Three skeletal muscle indices (SMIs) are proposed to adjust the body size of individuals. However, it is unknown which index is better correlated with mobility. Additionally, it remains unclear whether low muscle mass or abdominal obesity has a greater impact on the mobility and cardiometabolic health of older adults. ObjectivesThis study explored the association between different SMIs {appendicular skeletal muscle mass [ASM] adjusted by body height [Ht], body weight [Wt], or body mass index [BMI (kg/m2)]} and mobility/cardiometabolic health. The roles of low muscle mass and abdominal obesity in the mobility and cardiometabolic health of individuals were also identified. MethodsFour-hundred and twenty-seven community-dwelling middle-aged and older adults underwent body composition assessments [dual-energy x-ray absorptiometry and waist circumference (WC)], grip strength, and mobility (timed up-and-go test and chair stand test). Spearman’s rank correlation coefficient and regression models were used to examine research questions. This study was registered in the Thai Clinical Trials Registry (registration number: TCTR20210521007). ResultsAll SMIs were positively correlated with the grip strength (ASM/Ht2: r = 0.392; ASM/Wt: r = 0.439; ASM/BMI: r = 0.569). Regarding mobility, only ASM/Ht2 wasn’t relevant. After adjusting for age, sex, and WC, ASM/BMI was the only SMI associated with grip strength (β = 0.274). When age and sex were controlled, WC, but not SMI, was associated with mobility and cardiometabolic health. ConclusionsASM/Ht2 did not correlate with mobility in middle-aged and older adults, whereas ASM/Wt and ASM/BMI did. Abdominal obesity has a greater impact on mobility and cardiometabolic health than low muscle mass in middle-aged and older adults. We recommend using ASM/BMI to identify the low muscle mass of individuals. In addition, clinicians should note the important role of abdominal obesity when considering mobility in middle-aged and older adults.

Lower Back & Comfortability Analysis of Driving Posture to Mitigate Musculoskeletal Disorders: An Ergonomics Study using Digital Human Modelling in JACK Software

In this paper, the crucial aspect of driver comfort was explored by investigating the prevailing driving postures among individuals, aiming to discern their ergonomic implications and ascertain whether the commonly adopted postures are conducive to musculoskeletal health or pose potential risks. From the last decade vehicle like cars have become one of the common modes of personal transport. Car has high relevance in day-to-day activities like commuting, economic activities and sports etc. The continuous driving of vehicle can lead the driver prone to musculoskeletal disorders such as back pain, spine injury and posture issues. This study is conducted to address the ergonomic aspects of posture of the driver to highlight the risk of Musculoskeletal disorders (MSDs) and to optimize the driving posture. Lower Back Analysis (LBA) and Comfortability Analysis is performed in JACK Software to analyze the driving posture. A DHM (Digital Human Model) is created in JACK Simulation Software according to the collected anthropometric data of an average Pakistani man. A virtual Environment is created in JACK Simulation Software. The posture of the subject is analyzed by taking measurements of the subject’s angle of joints when they are sitting in a driving posture. For Ergonomic Analysis the Driving Posture is evaluated on JACK software to Mitigate Musculoskeletal Disorders. Results show that the subject is having low back compression force of 672 which is below the NIOSH Back Compression Action Limit of 3400N representing a nominal risk of low back injury.