Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (87 journals)
    - HEALTH AND SAFETY (686 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (358 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (112 journals)
    - PHYSICAL FITNESS AND HYGIENE (117 journals)
    - WOMEN'S HEALTH (82 journals)

OCCUPATIONAL HEALTH AND SAFETY (112 journals)                     

Showing 1 - 99 of 99 Journals sorted alphabetically
AIDS and Behavior     Hybrid Journal   (Followers: 17)
American Journal of Industrial Medicine     Hybrid Journal   (Followers: 14)
American Journal of Occupational Therapy     Partially Free   (Followers: 246)
Annals of Rehabilitation Medicine     Open Access   (Followers: 2)
Annals of Work Exposures and Health     Hybrid Journal   (Followers: 10)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 11)
Australian Occupational Therapy Journal     Hybrid Journal   (Followers: 197)
BMC Oral Health     Open Access   (Followers: 5)
BMJ Quality & Safety     Hybrid Journal   (Followers: 67)
British Journal of Occupational Therapy     Hybrid Journal   (Followers: 254)
Canadian Journal of Occupational Therapy     Hybrid Journal   (Followers: 206)
Ciencia & Trabajo     Open Access  
Cognition, Technology & Work     Hybrid Journal   (Followers: 14)
Conflict and Health     Open Access   (Followers: 8)
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 12)
Ergonomics     Hybrid Journal   (Followers: 26)
ergopraxis     Hybrid Journal   (Followers: 2)
Ethnicity & Health     Hybrid Journal   (Followers: 17)
European Journal of Social Work     Hybrid Journal   (Followers: 38)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 12)
Globalization and Health     Open Access   (Followers: 7)
Health & Social Care In the Community     Hybrid Journal   (Followers: 50)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 21)
Health Care Analysis     Hybrid Journal   (Followers: 13)
Health Communication     Hybrid Journal   (Followers: 19)
Health Promotion International     Hybrid Journal   (Followers: 27)
Health Promotion Practice     Hybrid Journal   (Followers: 16)
Health Psychology Review     Hybrid Journal   (Followers: 46)
Health Research Policy and Systems     Open Access   (Followers: 16)
Health, Risk & Society     Hybrid Journal   (Followers: 11)
Hong Kong Journal of Occupational Therapy     Open Access   (Followers: 63)
Human Resources for Health     Open Access   (Followers: 10)
IISE Transactions on Occupational Ergonomics and Human Factors     Hybrid Journal  
Indonesian Journal of Occupational Safety and Health     Open Access   (Followers: 2)
International Journal for Equity in Health     Open Access   (Followers: 11)
International Journal for Quality in Health Care     Hybrid Journal   (Followers: 40)
International Journal of Emergency Services     Hybrid Journal   (Followers: 20)
International Journal of Health Care Quality Assurance     Hybrid Journal   (Followers: 14)
International Journal of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 20)
International Journal of Industrial Ergonomics     Hybrid Journal   (Followers: 13)
International Journal of Nuclear Safety and Security     Hybrid Journal   (Followers: 1)
International Journal of Occupational and Environmental Health     Hybrid Journal   (Followers: 15)
International Journal of Occupational and Environmental Safety     Open Access   (Followers: 4)
International Journal of Occupational Health and Public Health Nursing     Open Access   (Followers: 5)
International Journal of Occupational Medicine and Environmental Health     Hybrid Journal   (Followers: 19)
International Journal of Occupational Safety and Ergonomics     Hybrid Journal   (Followers: 14)
International Journal of Occupational Safety and Health     Open Access   (Followers: 35)
International Journal of Workplace Health Management     Hybrid Journal   (Followers: 7)
Joint Commission Journal on Quality and Patient Safety     Hybrid Journal   (Followers: 41)
Journal of Community Health     Hybrid Journal   (Followers: 9)
Journal of Ecophysiology and Occupational Health     Open Access   (Followers: 1)
Journal of Environmental Science and Health, Part C : Toxicology and Carcinogenesis     Hybrid Journal   (Followers: 1)
Journal of Geriatric Physical Therapy     Hybrid Journal   (Followers: 15)
Journal of Global Responsibility     Hybrid Journal   (Followers: 3)
Journal of Health Care for the Poor and Underserved     Full-text available via subscription   (Followers: 9)
Journal of Health Psychology     Hybrid Journal   (Followers: 58)
Journal of Human Performance in Extreme Environments     Open Access   (Followers: 2)
Journal of Immigrant and Minority Health     Hybrid Journal   (Followers: 8)
Journal of Interprofessional Care     Hybrid Journal   (Followers: 14)
Journal of Mental Health Training, Education and Practice, The     Hybrid Journal   (Followers: 9)
Journal of Occupational & Environmental Medicine     Hybrid Journal   (Followers: 20)
Journal of Occupational Health Engineering     Open Access   (Followers: 4)
Journal of Occupational Health Psychology     Full-text available via subscription   (Followers: 41)
Journal of Occupational Medicine and Toxicology     Open Access   (Followers: 12)
Journal of Professional Counseling: Practice, Theory & Research     Hybrid Journal   (Followers: 1)
Journal of Religion and Health     Hybrid Journal   (Followers: 14)
Journal of Safety Studies     Open Access  
Journal of Social Work in Disability & Rehabilitation     Hybrid Journal   (Followers: 14)
Journal of Urban Health     Hybrid Journal   (Followers: 12)
Journal of Vocational Health Studies     Open Access   (Followers: 1)
Karaelmas İş Sağlığı ve Güvenliği Dergisi / Karaelmas Journal of Occupational Health and Safety     Open Access   (Followers: 2)
Learning in Health and Social Care     Hybrid Journal   (Followers: 12)
Musik- Tanz und Kunsttherapie     Hybrid Journal  
New Zealand Journal of Occupational Therapy     Full-text available via subscription   (Followers: 75)
Nordic Journal of Music Therapy     Hybrid Journal   (Followers: 8)
Nordic Journal of Working Life Studies     Open Access   (Followers: 1)
Occupational and Environmental Medicine     Hybrid Journal   (Followers: 18)
Occupational Medicine     Hybrid Journal   (Followers: 13)
Occupational Therapy in Health Care     Hybrid Journal   (Followers: 81)
Perspectives in Public Health     Hybrid Journal   (Followers: 13)
Perspectives interdisciplinaires sur le travail et la santé     Open Access   (Followers: 3)
Physical & Occupational Therapy in Geriatrics     Hybrid Journal   (Followers: 59)
Population Health Metrics     Open Access   (Followers: 5)
Preventing Chronic Disease     Free   (Followers: 3)
Psychology & Health     Hybrid Journal   (Followers: 34)
Qualitative Health Research     Hybrid Journal   (Followers: 33)
Reabilitacijos Mokslai : Slauga, Kineziterapija, Ergoterapija     Open Access   (Followers: 4)
Research in Social Stratification and Mobility     Hybrid Journal   (Followers: 14)
Revista Brasileira de Saúde Ocupacional     Open Access  
Revista Herediana de Rehabilitacion     Open Access   (Followers: 3)
Revue Francophone de Recherche en Ergothérapie RFRE     Open Access   (Followers: 2)
Safety and Health at Work     Open Access   (Followers: 75)
Scandinavian Journal of Occupational Therapy     Hybrid Journal   (Followers: 82)
Sociology of Health & Illness     Hybrid Journal   (Followers: 30)
System Safety : Human - Technical Facility - Environment     Open Access   (Followers: 3)
The Journal of Rural Health     Hybrid Journal   (Followers: 5)
Work, Employment & Society     Hybrid Journal   (Followers: 56)
Workplace Health and Safety     Full-text available via subscription   (Followers: 8)
Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie. Mit Beiträgen aus Umweltmedizin und Sozialmedizin     Full-text available via subscription   (Followers: 1)

           

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Frontiers in Neuroergonomics
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  • Detection of arousal and valence from facial expressions and physiological
           responses evoked by different types of stressors

    • Authors: Juliette Bruin, Ivo V. Stuldreher, Paola Perone, Koen Hogenelst, Marnix Naber, Wim Kamphuis, Anne-Marie Brouwer
      Abstract: Automatically detecting mental state such as stress from video images of the face could support evaluating stress responses in applicants for high risk jobs or contribute to timely stress detection in challenging operational settings (e.g., aircrew, command center operators). Challenges in automatically estimating mental state include the generalization of models across contexts and across participants. We here aim to create robust models by training them using data from different contexts and including physiological features. Fifty-one participants were exposed to different types of stressors (cognitive, social evaluative and startle) and baseline variants of the stressors. Video, electrocardiogram (ECG), electrodermal activity (EDA) and self-reports (arousal and valence) were recorded. Logistic regression models aimed to classify between high and low arousal and valence across participants, where “high” and “low” were defined relative to the center of the rating scale. Accuracy scores of different models were evaluated: models trained and tested within a specific context (either a baseline or stressor variant of a task), intermediate context (baseline and stressor variant of a task), or general context (all conditions together). Furthermore, for these different model variants, only the video data was included, only the physiological data, or both video and physiological data. We found that all (video, physiological and video-physio) models could successfully distinguish between high- and low-rated arousal and valence, though performance tended to be better for (1) arousal than valence, (2) specific context than intermediate and general contexts, (3) video-physio data than video or physiological data alone. Automatic feature selection resulted in inclusion of 3–20 features, where the models based on video-physio data usually included features from video, ECG and EDA. Still, performance of video-only models approached the performance of video-physio models. Arousal and valence ratings by three experienced human observers scores based on part of the video data did not match with self-reports. In sum, we showed that it is possible to automatically monitor arousal and valence even in relatively general contexts and better than humans can (in the given circumstances), and that non-contact video images of faces capture an important part of the information, which has practical advantages.
      PubDate: 2024-03-15T00:00:00Z
       
  • Mental workload assessment by monitoring brain, heart, and eye with six
           biomedical modalities during six cognitive
           tasks|Introduction|Methods|Results|Discussion

    • Authors: Jesse A. Mark, Adrian Curtin, Amanda E. Kraft, Matthias D. Ziegler, Hasan Ayaz
      Abstract: IntroductionThe efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate assessment of mental workload could help in preventing operator error and allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures of human body and brain activity collectively can provide sensitive and reliable assessment of human mental workload in complex training and work environments.MethodsIn this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities to concurrently capture performance and cognitive workload correlates across a longitudinal multi-day investigation. Utilizing two distinct modalities for each aspect of cardiac activity (ECG and PPG), ocular activity (EOG and eye-tracking), and brain activity (EEG and fNIRS), 23 participants engaged in four sessions over 4 weeks, performing tasks associated with working memory, vigilance, risk assessment, shifting attention, situation awareness, and inhibitory control.ResultsThe results revealed varying levels of sensitivity to workload within each modality. While certain measures exhibited consistency across tasks, neuroimaging modalities, in particular, unveiled meaningful differences between task conditions and cognitive domains.DiscussionThis is the first comprehensive comparison of these six brain-body measures across multiple days and cognitive domains. The findings underscore the potential of wearable brain and body sensing methods for evaluating mental workload. Such comprehensive neuroergonomic assessment can inform development of next generation neuroadaptive interfaces and training approaches for more efficient human-machine interaction and operator skill acquisition.
      PubDate: 2024-03-12T00:00:00Z
       
  • On decoding of rapid motor imagery in a diverse population using a
           high-density NIRS device|Introduction|Methods|Results|Discussion

    • Authors: Christian Kothe, Grant Hanada, Sean Mullen, Tim Mullen
      Abstract: IntroductionFunctional near-infrared spectroscopy (fNIRS) aims to infer cognitive states such as the type of movement imagined by a study participant in a given trial using an optical method that can differentiate between oxygenation states of blood in the brain and thereby indirectly between neuronal activity levels. We present findings from an fNIRS study that aimed to test the applicability of a high-density (>3000 channels) NIRS device for use in short-duration (2 s) left/right hand motor imagery decoding in a diverse, but not explicitly balanced, subject population. A side aim was to assess relationships between data quality, self-reported demographic characteristics, and brain-computer interface (BCI) performance, with no subjects rejected from recruitment or analysis.MethodsBCI performance was quantified using several published methods, including subject-specific and subject-independent approaches, along with a high-density fNIRS decoder previously validated in a separate study.ResultsWe found that decoding of motor imagery on this population proved extremely challenging across all tested methods. Overall accuracy of the best-performing method (the high-density decoder) was 59.1 +/– 6.7% after excluding subjects where almost no optode-scalp contact was made over motor cortex and 54.7 +/– 7.6% when all recorded sessions were included. Deeper investigation revealed that signal quality, hemodynamic responses, and BCI performance were all strongly impacted by the hair phenotypical and demographic factors under investigation, with over half of variance in signal quality explained by demographic factors alone.DiscussionOur results contribute to the literature reporting on challenges in using current-generation NIRS devices on subjects with long, dense, dark, and less pliable hair types along with the resulting potential for bias. Our findings confirm the need for increased focus on these populations, accurate reporting of data rejection choices across subject intake, curation, and final analysis in general, and signal a need for NIRS optode designs better optimized for the general population to facilitate more robust and inclusive research outcomes.
      PubDate: 2024-03-11T00:00:00Z
       
  • Granular estimation of user cognitive workload using multi-modal
           physiological sensors

    • Authors: Jingkun Wang, Christopher Stevens, Winston Bennett, Denny Yu
      Abstract: Mental workload (MWL) is a crucial area of study due to its significant influence on task performance and potential for significant operator error. However, measuring MWL presents challenges, as it is a multi-dimensional construct. Previous research on MWL models has focused on differentiating between two to three levels. Nonetheless, tasks can vary widely in their complexity, and little is known about how subtle variations in task difficulty influence workload indicators. To address this, we conducted an experiment inducing MWL in up to 5 levels, hypothesizing that our multi-modal metrics would be able to distinguish between each MWL stage. We measured the induced workload using task performance, subjective assessment, and physiological metrics. Our simulated task was designed to induce diverse MWL degrees, including five different math and three different verbal tiers. Our findings indicate that all investigated metrics successfully differentiated between various MWL levels induced by different tiers of math problems. Notably, performance metrics emerged as the most effective assessment, being the only metric capable of distinguishing all the levels. Some limitations were observed in the granularity of subjective and physiological metrics. Specifically, the subjective overall mental workload couldn't distinguish lower levels of workload, while all physiological metrics could detect a shift from lower to higher levels, but did not distinguish between workload tiers at the higher or lower ends of the scale (e.g., between the easy and the easy-medium tiers). Despite these limitations, each pair of levels was effectively differentiated by one or more metrics. This suggests a promising avenue for future research, exploring the integration or combination of multiple metrics. The findings suggest that subtle differences in workload levels may be distinguishable using combinations of subjective and physiological metrics.
      PubDate: 2024-02-27T00:00:00Z
       
  • Cerebral oxygenation and perfusion kinetics monitoring of military aircrew
           at high G using novel fNIRS wearable
           system|Introduction|Methods|Results|Discussion

    • Authors: Thibault Roumengous, R. Casey Boutwell, Jason Strohmaier, Jared Allen, Brett Goldbach, Nicholas Marotta, Tanner Songkakul, Shelby Critcher, Bria G. Morse, Jeremy M. A. Beer, Paul M. Sherman
      Abstract: IntroductionReal-time physiological episode (PE) detection and management in aircrew operating high-performance aircraft (HPA) is crucial for the US Military. This paper addresses the unique challenges posed by high acceleration (G-force) in HPA aircrew and explores the potential of a novel wearable functional near-infrared spectroscopy (fNIRS) system, named NIRSense Aerie, to continuously monitor cerebral oxygenation during high G-force exposure.MethodsThe NIRSense Aerie system is a flight-optimized, wearable fNIRS device designed to monitor tissue oxygenation 13–20 mm below the skin's surface. The system includes an optical frontend adhered to the forehead, an electronics module behind the earcup of aircrew helmets, and a custom adhesive for secure attachment. The fNIRS optical layout incorporates near-distance, middle-distance, and far-distance infrared emitters, a photodetector, and an accelerometer for motion measurements. Data processing involves the modified Beer-Lambert law for computing relative chromophore concentration changes. A human evaluation of the NIRSense Aerie was conducted on six subjects exposed to G-forces up to +9 Gz in an Aerospace Environmental Protection Laboratory centrifuge. fNIRS data, pulse oximetry, and electrocardiography (HR) were collected to analyze cerebral and superficial tissue oxygenation kinetics during G-loading and recovery.ResultsThe NIRSense Aerie successfully captured cerebral deoxygenation responses during high G-force exposure, demonstrating its potential for continuous monitoring in challenging operational environments. Pulse oximetry was compromised during G-loading, emphasizing the system's advantage in uninterrupted cerebrovascular monitoring. Significant changes in oxygenation metrics were observed across G-loading levels, with distinct responses in Deoxy-Hb and Oxy-Hb concentrations. HR increased during G-loading, reflecting physiological stress and the anti-G straining maneuver.DiscussionThe NIRSense Aerie shows promise for real-time monitoring of aircrew physiological responses during high G-force exposure. Despite challenges, the system provides valuable insights into cerebral oxygenation kinetics. Future developments aim for miniaturization and optimization for enhanced aircrew comfort and wearability. This technology has potential for improving anti-G straining maneuver learning and retention through real-time cerebral oxygenation feedback during centrifuge training.
      PubDate: 2024-02-23T00:00:00Z
       
  • Ecological decoding of visual aesthetic preference with oscillatory
           electroencephalogram features—A mini-review

    • Authors: Marc Welter, Fabien Lotte
      Abstract: In today's digital information age, human exposure to visual artifacts has reached an unprecedented quasi-omnipresence. Some of these cultural artifacts are elevated to the status of artworks which indicates a special appreciation of these objects. For many persons, the perception of such artworks coincides with aesthetic experiences (AE) that can positively affect health and wellbeing. AEs are composed of complex cognitive and affective mental and physiological states. More profound scientific understanding of the neural dynamics behind AEs would allow the development of passive Brain-Computer-Interfaces (BCI) that offer personalized art presentation to improve AE without the necessity of explicit user feedback. However, previous empirical research in visual neuroaesthetics predominantly investigated functional Magnetic Resonance Imaging and Event-Related-Potentials correlates of AE in unnaturalistic laboratory conditions which might not be the best features for practical neuroaesthetic BCIs. Furthermore, AE has, until recently, largely been framed as the experience of beauty or pleasantness. Yet, these concepts do not encompass all types of AE. Thus, the scope of these concepts is too narrow to allow personalized and optimal art experience across individuals and cultures. This narrative mini-review summarizes the state-of-the-art in oscillatory Electroencephalography (EEG) based visual neuroaesthetics and paints a road map toward the development of ecologically valid neuroaesthetic passive BCI systems that could optimize AEs, as well as their beneficial consequences. We detail reported oscillatory EEG correlates of AEs, as well as machine learning approaches to classify AE. We also highlight current limitations in neuroaesthetics and suggest future directions to improve EEG decoding of AE.
      PubDate: 2024-02-21T00:00:00Z
       
  • Subject-specific information enhances spatial accuracy of high-density
           diffuse optical tomography

    • Authors: Sruthi Srinivasan, Deepshikha Acharya, Emilia Butters, Liam Collins-Jones, Flavia Mancini, Gemma Bale
      Abstract: Functional near-infrared spectroscopy (fNIRS) is a widely used imaging method for mapping brain activation based on cerebral hemodynamics. The accurate quantification of cortical activation using fNIRS data is highly dependent on the ability to correctly localize the positions of light sources and photodetectors on the scalp surface. Variations in head size and shape across participants greatly impact the precise locations of these optodes and consequently, the regions of the cortical surface being reached. Such variations can therefore influence the conclusions drawn in NIRS studies that attempt to explore specific cortical regions. In order to preserve the spatial identity of each NIRS channel, subject-specific differences in NIRS array registration must be considered. Using high-density diffuse optical tomography (HD-DOT), we have demonstrated the inter-subject variability of the same HD-DOT array applied to ten participants recorded in the resting state. We have also compared three-dimensional image reconstruction results obtained using subject-specific positioning information to those obtained using generic optode locations. To mitigate the error introduced by using generic information for all participants, photogrammetry was used to identify specific optode locations per-participant. The present work demonstrates the large variation between subjects in terms of which cortical parcels are sampled by equivalent channels in the HD-DOT array. In particular, motor cortex recordings suffered from the largest optode localization errors, with a median localization error of 27.4 mm between generic and subject-specific optodes, leading to large differences in parcel sensitivity. These results illustrate the importance of collecting subject-specific optode locations for all wearable NIRS experiments, in order to perform accurate group-level analysis using cortical parcellation.
      PubDate: 2024-02-19T00:00:00Z
       
  • Brain-behavior analysis of transcranial direct current stimulation effects
           on a complex surgical motor task

    • Authors: Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta
      Abstract: Transcranial Direct Current Stimulation (tDCS) has demonstrated its potential in enhancing surgical training and performance compared to sham tDCS. However, optimizing its efficacy requires the selection of appropriate brain targets informed by neuroimaging and mechanistic understanding. Previous studies have established the feasibility of using portable brain imaging, combining functional near-infrared spectroscopy (fNIRS) with tDCS during Fundamentals of Laparoscopic Surgery (FLS) tasks. This allows concurrent monitoring of cortical activations. Building on these foundations, our study aimed to explore the multi-modal imaging of the brain response using fNIRS and electroencephalogram (EEG) to tDCS targeting the right cerebellar (CER) and left ventrolateral prefrontal cortex (PFC) during a challenging FLS suturing with intracorporeal knot tying task. Involving twelve novices with a medical/premedical background (age: 22–28 years, two males, 10 females with one female with left-hand dominance), our investigation sought mechanistic insights into tDCS effects on brain areas related to error-based learning, a fundamental skill acquisition mechanism. The results revealed that right CER tDCS applied to the posterior lobe elicited a statistically significant (q < 0.05) brain response in bilateral prefrontal areas at the onset of the FLS task, surpassing the response seen with sham tDCS. Additionally, right CER tDCS led to a significant (p < 0.05) improvement in FLS scores compared to sham tDCS. Conversely, the left PFC tDCS did not yield a statistically significant brain response or improvement in FLS performance. In conclusion, right CER tDCS demonstrated the activation of bilateral prefrontal brain areas, providing valuable mechanistic insights into the effects of CER tDCS on FLS peformance. These insights motivate future investigations into the effects of CER tDCS on error-related perception-action coupling through directed functional connectivity studies.
      PubDate: 2024-01-09T00:00:00Z
       
  • Non-invasive low-cost deep tissue blood flow measurement with integrated
           Diffuse Speckle Contrast Spectroscopy

    • Authors: Arindam Biswas, Penaz Parveen Sultana Mohammad, Sadhu Moka, Arash Takshi, Ashwin B. Parthasarathy
      Abstract: Diffuse Correlation Spectroscopy (DCS) is a widely used non-invasive measurement technique to quantitatively measure deep tissue blood flow. Conventional implementations of DCS use expensive single photon counters as detecting elements and optical probes with bulky fiber optic cables. In recent years, newer approaches to blood flow measurement such as Diffuse Speckle Contrast Analysis (DSCA) and Speckle Contrast Optical Spectroscopy (SCOS), have adapted speckle contrast analysis methods to simplify deep tissue blood flow measurements using cameras and single photon counting avalanche detector arrays as detectors. Here, we introduce and demonstrate integrated Diffuse Speckle Contrast Spectroscopy (iDSCS), a novel optical sensor setup which leverages diffuse speckle contrast analysis for probe-level quantitative measurement of tissue blood flow. iDSCS uses a standard photodiode configured in photovoltaic mode to integrate photon intensity fluctuations over multiple integration durations using a custom electronic circuit, as opposed to the high frequency sampling of photon counts with DCS. We show that the iDSCS device is sensitive to deep-tissue blood flow measurements with experiments on a human forearm and compare the sensitivity and dynamic range of the device to a conventional DCS instrument. The iDSCS device features a low-cost, low-power, small form factor instrument design that will enable wireless probe-level measurements of deep tissue blood flow.
      PubDate: 2024-01-08T00:00:00Z
       
  • Mobile fNIRS for exploring inter-brain synchrony across generations and
           time

    • Authors: Ryssa Moffat, Courtney E. Casale, Emily S. Cross
      Abstract: While still relatively rare, longitudinal hyperscanning studies are exceptionally valuable for documenting changes in inter-brain synchrony, which may in turn underpin how behaviors develop and evolve in social settings. The generalizability and ecological validity of this experimental approach hinges on the selected imaging technique being mobile–a requirement met by functional near-infrared spectroscopy (fNIRS). fNIRS has most frequently been used to examine the development of inter-brain synchrony and behavior in child-parent dyads. In this position paper, we contend that dedicating attention to longitudinal and intergenerational hyperscanning stands to benefit the fields of social and cognitive neuroscience more broadly. We argue that this approach is particularly relevant for understanding the neural mechanisms underpinning intergenerational social dynamics, and potentially for benchmarking progress in psychological and social interventions, many of which are situated in intergenerational contexts. In line with our position, we highlight areas of intergenerational research that stand to be enhanced by longitudinal hyperscanning with mobile devices, describe challenges that may arise from measuring across generations in the real world, and offer potential solutions.
      PubDate: 2024-01-03T00:00:00Z
       
  • Electrodermal activity as an index of food neophobia outside the
           lab|Introduction|Methods|Results|Discussion

    • Authors: Ivo V. Stuldreher, Erik Van der Burg, Sebastien Velut, Alexander Toet, Demi E. van Os, Haruka Hiraguchi, Maarten A. Hogervorst, Elizabeth H. Zandstra, Jan B. F. Van Erp, Anne-Marie Brouwer
      Abstract: IntroductionUnderstanding how food neophobia affects food experience may help to shift toward sustainable diets. Previous research suggests that individuals with higher food neophobia are more aroused and attentive when observing food-related stimuli. The present study examined whether electrodermal activity (EDA), as index of arousal, relates to food neophobia outside the lab when exposed to a single piece of food.MethodsThe EDA of 153 participants was analyzed as part of a larger experiment conducted at a festival. Participants completed the 10-item Food Neophobia Scale. Subsequently, they saw three lids covering three foods: a hotdog labeled as “meat”, a hotdog labeled as “100% plant-based”, and tofu labeled as “100% plant-based”. Participants lifted the lids consecutively and the area-under-the-curve (AUC) of the skin conductance response (SCR) was captured between 20 s before and 20 s after each food reveal.ResultsWe found a significant positive correlation between food neophobia and AUC of SCR during presentation of the first and second hotdog and a trend for tofu. These correlations remained significant even when only including the SCR data prior to the food reveal (i.e., an anticipatory response).DiscussionThe association between food neophobia and EDA indicates that food neophobic individuals are more aroused upon the presentation of food. We show for the first time that the anticipation of being presented with food already increased arousal for food neophobic individuals. These findings also indicate that EDA can be meaningfully determined using wearables outside the lab, in a relatively uncontrolled setting for single-trial analysis.
      PubDate: 2024-01-03T00:00:00Z
       
  • Attempting to counteract vigilance decrement in older adults with brain
           stimulation|Introduction|Method|Results|Discussion

    • Authors: Birte S. Löffler, Heiko I. Stecher, Arnd Meiser, Sebastian Fudickar, Andreas Hein, Christoph S. Herrmann
      Abstract: IntroductionAgainst the background of demographic change and the need for enhancement techniques for an aging society, we set out to repeat a study that utilized 40-Hz transcranial alternating current stimulation (tACS) to counteract the slowdown of reaction times in a vigilance experiment but with participants aged 65 years and older. On an oscillatory level, vigilance decrement is linked to rising occipital alpha power, which has been shown to be downregulated using gamma-tACS.MethodWe applied tACS on the visual cortex and compared reaction times, error rates, and alpha power of a group stimulated with 40 Hz to a sham and a 5-Hz-stimulated control group. All groups executed two 30-min-long blocks of a visual task and were stimulated according to group in the second block. We hypothesized that the expected increase in reaction times and alpha power would be reduced in the 40-Hz group compared to the control groups in the second block (INTERVENTION).ResultsStatistical analysis with linear mixed models showed that reaction times increased significantly over time in the first block (BASELINE) with approximately 3 ms/min for the SHAM and 2 ms/min for the 5-Hz and 40-Hz groups, with no difference between the groups. The increase was less pronounced in the INTERVENTION block (1 ms/min for SHAM and 5-Hz groups, 3 ms/min for the 40-Hz group). Differences among groups in the INTERVENTION block were not significant if the 5-Hz or the 40-Hz group was used as the base group for the linear mixed model. Statistical analysis with a generalized linear mixed model showed that alpha power was significantly higher after the experiment (1.37 μV2) compared to before (1 μV2). No influence of stimulation (40 Hz, 5 Hz, or sham) could be detected.DiscussionAlthough the literature has shown that tACS offers potential for older adults, our results indicate that findings from general studies cannot simply be transferred to an old-aged group. We suggest adjusting stimulation parameters to the neurophysiological features expected in this group. Next to heterogeneity and cognitive fitness, the influence of motivation and medication should be considered.
      PubDate: 2023-12-12T00:00:00Z
       
  • An investigation of cardiac vagal tone over time and its relation to
           vigilance performance: a growth curve modeling
           approach|Introduction|Method/Results|Discussion

    • Authors: Shannon P. D. McGarry, Brittany N. Neilson, Noelle L. Brown, Kaylin D. Strong, Eric T. Greenlee, Martina I. Klein, Joseph T. Coyne
      Abstract: IntroductionResearch over the last couple of decades has demonstrated a relationship between psychophysiological measures, specifically cardiac functions, and cognitive performance. Regulation of the cardiac system under parasympathetic control is commonly referred to as cardiac vagal tone and is associated with the regulation of cognitive and socioemotional states. The goal of the current study was to capture the dynamic relationship between cardiac vagal tone and performance in a vigilance task.Method/ResultsWe implemented a longitudinal growth curve modeling approach which unveiled a relationship between cardiac vagal tone and vigilance that was non-monotonic and dependent upon each person.DiscussionThe findings suggest that cardiac vagal tone may be a process-based physiological measure that further explains how the vigilance decrement manifests over time and differs across individuals. This contributes to our understanding of vigilance by modeling individual differences in cardiac vagal tone changes that occur over the course of the vigilance task.
      PubDate: 2023-12-11T00:00:00Z
       
  • Explainable stress type classification captures physiologically relevant
           responses in the Maastricht Acute Stress
           Test|Introduction|Methods|Results|Discussion

    • Authors: Jaakko Tervonen, Johanna Närväinen, Jani Mäntyjärvi, Kati Pettersson
      Abstract: IntroductionCurrent stress detection methods concentrate on identification of stress and non-stress states despite the existence of various stress types. The present study performs a more specific, explainable stress classification, which could provide valuable information on the physiological stress reactions.MethodsPhysiological responses were measured in the Maastricht Acute Stress Test (MAST), comprising alternating trials of cold pressor (inducing physiological stress and pain) and mental arithmetics (eliciting cognitive and social-evaluative stress). The responses in these subtasks were compared to each other and to the baseline through mixed model analysis. Subsequently, stress type detection was conducted with a comprehensive analysis of several machine learning components affecting classification. Finally, explainable artificial intelligence (XAI) methods were applied to analyze the influence of physiological features on model behavior.ResultsMost of the investigated physiological reactions were specific to the stressors, and the subtasks could be distinguished from baseline with up to 86.5% balanced accuracy. The choice of the physiological signals to measure (up to 25%-point difference in balanced accuracy) and the selection of features (up to 7%-point difference) were the two key components in classification. Reflection of the XAI analysis to mixed model results and human physiology revealed that the stress detection model concentrated on physiological features relevant for the two stressors.DiscussionThe findings confirm that multimodal machine learning classification can detect different types of stress reactions from baseline while focusing on physiologically sensible changes. Since the measured signals and feature selection affected classification performance the most, data analytic choices left limited input information uncompensated.
      PubDate: 2023-12-05T00:00:00Z
       
  • Assessing functional impulsivity using functional near-infrared
           spectroscopy|Introduction|Methods|Results|Conclusion

    • Authors: Kenta Nakazawa, Kazue Hirabayashi, Wakana Kawai, Yasushi Kyutoku, Keith Kawabata Duncan, Ippeita Dan
      Abstract: IntroductionIn neuromarketing, a recently developing, inter-disciplinary field combining neuroscience and marketing, neurophysiological responses have been applied to understand consumers' behaviors. While many studies have focused on explicit attitudes, few have targeted implicit aspects. To explore the possibility of measuring implicit desire for a product, we focused on functional impulsivity related to obtaining a product as a reward and devised a product-rewarded traffic light task (PRTLT). The PRTLT requires participants to take risks under time pressure in order for them to maximize rewards in the form of commercial products, with the brand of products being an independent variable. Thus, we explored the feasibility of applying a PRTLT in a neuromarketing context to implicitly differentiate between the perceived value of products and supported our data with neurophysiological evidence obtained using fNIRS to concurrently monitor cortical activation.MethodsThirty healthy students were asked to perform the PRTLT. We compared participants' functional impulsivity toward two different chocolate products that had obviously different values. Along with their behavioral responses, participants' cerebral hemodynamic responses during the PRTLT were measured using fNIRS covering the lateral prefrontal cortices and the neighboring regions. We conducted adaptive general linear model (GLM) analysis for hemodynamic responses. First, we identified the regions involved in the PRTLT. Second, we compared activation patterns between expensive and inexpensive conditions.ResultsBehavioral analysis confirmed that the expensive condition trended toward producing a higher PRTLT score than did the inexpensive condition. fNIRS neuroimaging analysis showed task-derived activation in the bilateral dorsolateral prefrontal cortex (DLPFC) and frontopolar cortex (FPC). Moreover, we found significant differences between expensive and inexpensive conditions in the cortical activations in the FPC and the left-DLPFC.ConclusionThese results imply that the two products evoked different functional impulsivity, and the hemodynamic responses reflect that. Thus, we concluded that it is possible to observe differences in demand for products using a PRTLT that evokes functional impulsivity. The current study presents a new possibility in neuromarketing research of observing differences between consumers' covert attitudes toward commercially available products, possibly providing a neural basis related to hidden needs for some products.
      PubDate: 2023-12-01T00:00:00Z
       
  • Phasic and repetitive self-touch differ in hemodynamic response in the
           prefrontal cortex–An fNIRS study|Introduction|Methods|Results|Discussion
           

    • Authors: Sabrina von Au, Ingo Helmich, Simon Kieffer, Hedda Lausberg
      Abstract: IntroductionEach individual touches the own body several 100 times a day. While some researchers propose a self-regulatory function of self-touch, others report that self-touching increases nervousness. This controversy appears to be caused by the fact that researchers did not define the kind of self-touch they examined and actually, referred to different types of self-touch. Thus, kinematically defining different types of self-touch, such as phasic (discrete), repetitive, and irregular, and exploring the neural correlates of the different types will provide insight into the neuropsychological function of self-touching behavior.MethodsTo this aim, we assessed hemodynamic responses in prefrontal brain areas using functional near-infrared spectroscopy (fNIRS) and behavioral responses with NEUROGES®. Fifty-two participants were recorded during three specific kinematically types of self-touch (phasic, irregular, repetitive) that were to be performed on command. The recently developed toolbox Satori was used for the visualization of neuronal processes.ResultsBehaviorally, the participants did not perform irregular self-touch reliably. Neurally, the comparison of phasic, irregular and repetitive self-touch revealed different activation patterns. Repetitive self-touch is associated with stronger hemodynamic responses in the left Orbitofrontal Cortex and the Dorsolateral Prefrontal Cortex than phasic self-touch.DiscussionThese brain areas have been reported to be associated with self-regulatory processes. Furthermore, irregular self-touch appears to be primarily generated by implicit neural control. Thus, by distinguishing kinematically different types of self-touch, our findings shed light on the controverse discussion on the neuropsychological function of self-touch.
      PubDate: 2023-11-29T00:00:00Z
       
  • Acute effects of (–)-gallocatechin gallate-rich green tea extract on the
           cerebral hemodynamic response of the prefrontal cortex in healthy
           humans|Objective|Methods|Results|Conclusion

    • Authors: Jihyun Cha, Hyung-Su Kim, Gusang Kwon, Si-Young Cho, Jae-Myoung Kim
      Abstract: ObjectiveThe benefits of long-term consumption of green tea on the brain are well known. However, among many ingredients of green tea, the acute effects of (–)-gallocatechin gallate-rich green tea extract (GCG-GTE), have received comparatively less attention. Herein, we investigated the acute effects of oral ingestion of green tea with GCG-GTE, which contains close replicas of the ingredients of hot green tea, on task-dependent hemodynamics in the prefrontal cortex of healthy adult human brains.MethodsIn this randomized, double-blind, placebo-controlled, parallel group trial, 35 healthy adults completed computerized cognitive tasks that demand activation of the prefrontal cortex at baseline and 1 h after consumption of placebo and 900 mg of GCG-GTE extract supplement. During cognitive testing, hemodynamic responses (change in HbO2 concentration) in the prefrontal cortex were assessed using functional near-infrared spectroscopy (fNIRS).ResultsIn fNIRS data, significant group x session interactions were found in the left (p = 0.035) and right (p = 0.036) dorsolateral prefrontal cortex (DLPFC). In behavioral data, despite the numerical increase in the GCG-GTE group and the numerical decrease in the Placebo group, no significant differences were observed in the cognitive performance measure between the groups.ConclusionThe result suggests a single dose of orally administered GCG-GTE can reduce DLPFC activation in healthy humans even with increased task demand. GCG-GTE is a promising functional material that can affect neural efficiency to lower mental workload during cognitively demanding tasks. However, further studies are needed to verify this.
      PubDate: 2023-11-27T00:00:00Z
       
  • Assessment of mental workload across cognitive tasks using a passive
           brain-computer interface based on mean negative theta-band amplitudes

    • Authors: Guillermo I. Gallegos Ayala, David Haslacher, Laurens R. Krol, Surjo R. Soekadar, Thorsten O. Zander
      Abstract: Brain-computer interfaces (BCI) can provide real-time and continuous assessments of mental workload in different scenarios, which can subsequently be used to optimize human-computer interaction. However, assessment of mental workload is complicated by the task-dependent nature of the underlying neural signals. Thus, classifiers trained on data from one task do not generalize well to other tasks. Previous attempts at classifying mental workload across different cognitive tasks have therefore only been partially successful. Here we introduce a novel algorithm to extract frontal theta oscillations from electroencephalographic (EEG) recordings of brain activity and show that it can be used to detect mental workload across different cognitive tasks. We use a published data set that investigated subject dependent task transfer, based on Filter Bank Common Spatial Patterns. After testing, our approach enables a binary classification of mental workload with performances of 92.00 and 92.35%, respectively for either low or high workload vs. an initial no workload condition, with significantly better results than those of the previous approach. It, nevertheless, does not perform beyond chance level when comparing high vs. low workload conditions. Also, when an independent component analysis was done first with the data (and before any additional preprocessing procedure), even though we achieved more stable classification results above chance level across all tasks, it did not perform better than the previous approach. These mixed results illustrate that while the proposed algorithm cannot replace previous general-purpose classification methods, it may outperform state-of-the-art algorithms in specific (workload) comparisons.
      PubDate: 2023-11-23T00:00:00Z
       
  • Combining brain-computer interfaces with deep reinforcement learning for
           robot training: a feasibility study in a simulation environment

    • Authors: Mathias Vukelić, Michael Bui, Anna Vorreuther, Katharina Lingelbach
      Abstract: Deep reinforcement learning (RL) is used as a strategy to teach robot agents how to autonomously learn complex tasks. While sparsity is a natural way to define a reward in realistic robot scenarios, it provides poor learning signals for the agent, thus making the design of good reward functions challenging. To overcome this challenge learning from human feedback through an implicit brain-computer interface (BCI) is used. We combined a BCI with deep RL for robot training in a 3-D physical realistic simulation environment. In a first study, we compared the feasibility of different electroencephalography (EEG) systems (wet- vs. dry-based electrodes) and its application for automatic classification of perceived errors during a robot task with different machine learning models. In a second study, we compared the performance of the BCI-based deep RL training to feedback explicitly given by participants. Our findings from the first study indicate the use of a high-quality dry-based EEG-system can provide a robust and fast method for automatically assessing robot behavior using a sophisticated convolutional neural network machine learning model. The results of our second study prove that the implicit BCI-based deep RL version in combination with the dry EEG-system can significantly accelerate the learning process in a realistic 3-D robot simulation environment. Performance of the BCI-based trained deep RL model was even comparable to that achieved by the approach with explicit human feedback. Our findings emphasize the usage of BCI-based deep RL methods as a valid alternative in those human-robot applications where no access to cognitive demanding explicit human feedback is available.
      PubDate: 2023-11-23T00:00:00Z
       
  • The WACDT, a modern vigilance task for network defense

    • Authors: Oliver A. Guidetti, Craig P. Speelman, Peter Bouhlas
      Abstract: Vigilance decrement refers to a psychophysiological decline in the capacity to sustain attention to monotonous tasks after prolonged periods. A plethora of experimental tasks exist for researchers to study vigilance decrement in classic domains such as driving and air traffic control and baggage security; however, the only cyber vigilance tasks reported in the research literature exist in the possession of the United States Air Force (USAF). Moreover, existent cyber vigilance tasks have not kept up with advances in real-world cyber security and consequently no longer accurately reflect the cognitive load associated with modern network defense. The Western Australian Cyber Defense Task (WACDT) was designed, engineered, and validated. Elements of network defense command-and-control consoles that influence the trajectory of vigilance can be adjusted within the WACDT. These elements included cognitive load, event rate, signal salience and workload transitions. Two forms of the WACDT were tested. In static trials, each element was adjusted to its maximum level of processing difficulty. In dynamic trials, these elements were set to increase from their minimum to their maximum values. Vigilance performance in static trials was shown to improve over time. In contrast, dynamic WACDT trials were characterized by vigilance performance declines. The WACDT provides the civilian human factors research community with an up-to-date and validated vigilance task for network defense accessible to civilian researchers.
      PubDate: 2023-11-21T00:00:00Z
       
 
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  Subjects -> HEALTH AND SAFETY (Total: 1464 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (87 journals)
    - HEALTH AND SAFETY (686 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (358 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (112 journals)
    - PHYSICAL FITNESS AND HYGIENE (117 journals)
    - WOMEN'S HEALTH (82 journals)

OCCUPATIONAL HEALTH AND SAFETY (112 journals)                     

Showing 1 - 99 of 99 Journals sorted alphabetically
AIDS and Behavior     Hybrid Journal   (Followers: 17)
American Journal of Industrial Medicine     Hybrid Journal   (Followers: 14)
American Journal of Occupational Therapy     Partially Free   (Followers: 246)
Annals of Rehabilitation Medicine     Open Access   (Followers: 2)
Annals of Work Exposures and Health     Hybrid Journal   (Followers: 10)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 11)
Australian Occupational Therapy Journal     Hybrid Journal   (Followers: 197)
BMC Oral Health     Open Access   (Followers: 5)
BMJ Quality & Safety     Hybrid Journal   (Followers: 67)
British Journal of Occupational Therapy     Hybrid Journal   (Followers: 254)
Canadian Journal of Occupational Therapy     Hybrid Journal   (Followers: 206)
Ciencia & Trabajo     Open Access  
Cognition, Technology & Work     Hybrid Journal   (Followers: 14)
Conflict and Health     Open Access   (Followers: 8)
Counseling Outcome Research and Evaluation     Hybrid Journal   (Followers: 12)
Ergonomics     Hybrid Journal   (Followers: 26)
ergopraxis     Hybrid Journal   (Followers: 2)
Ethnicity & Health     Hybrid Journal   (Followers: 17)
European Journal of Social Work     Hybrid Journal   (Followers: 38)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 12)
Globalization and Health     Open Access   (Followers: 7)
Health & Social Care In the Community     Hybrid Journal   (Followers: 50)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 21)
Health Care Analysis     Hybrid Journal   (Followers: 13)
Health Communication     Hybrid Journal   (Followers: 19)
Health Promotion International     Hybrid Journal   (Followers: 27)
Health Promotion Practice     Hybrid Journal   (Followers: 16)
Health Psychology Review     Hybrid Journal   (Followers: 46)
Health Research Policy and Systems     Open Access   (Followers: 16)
Health, Risk & Society     Hybrid Journal   (Followers: 11)
Hong Kong Journal of Occupational Therapy     Open Access   (Followers: 63)
Human Resources for Health     Open Access   (Followers: 10)
IISE Transactions on Occupational Ergonomics and Human Factors     Hybrid Journal  
Indonesian Journal of Occupational Safety and Health     Open Access   (Followers: 2)
International Journal for Equity in Health     Open Access   (Followers: 11)
International Journal for Quality in Health Care     Hybrid Journal   (Followers: 40)
International Journal of Emergency Services     Hybrid Journal   (Followers: 20)
International Journal of Health Care Quality Assurance     Hybrid Journal   (Followers: 14)
International Journal of Human Factors Modelling and Simulation     Hybrid Journal   (Followers: 20)
International Journal of Industrial Ergonomics     Hybrid Journal   (Followers: 13)
International Journal of Nuclear Safety and Security     Hybrid Journal   (Followers: 1)
International Journal of Occupational and Environmental Health     Hybrid Journal   (Followers: 15)
International Journal of Occupational and Environmental Safety     Open Access   (Followers: 4)
International Journal of Occupational Health and Public Health Nursing     Open Access   (Followers: 5)
International Journal of Occupational Medicine and Environmental Health     Hybrid Journal   (Followers: 19)
International Journal of Occupational Safety and Ergonomics     Hybrid Journal   (Followers: 14)
International Journal of Occupational Safety and Health     Open Access   (Followers: 35)
International Journal of Workplace Health Management     Hybrid Journal   (Followers: 7)
Joint Commission Journal on Quality and Patient Safety     Hybrid Journal   (Followers: 41)
Journal of Community Health     Hybrid Journal   (Followers: 9)
Journal of Ecophysiology and Occupational Health     Open Access   (Followers: 1)
Journal of Environmental Science and Health, Part C : Toxicology and Carcinogenesis     Hybrid Journal   (Followers: 1)
Journal of Geriatric Physical Therapy     Hybrid Journal   (Followers: 15)
Journal of Global Responsibility     Hybrid Journal   (Followers: 3)
Journal of Health Care for the Poor and Underserved     Full-text available via subscription   (Followers: 9)
Journal of Health Psychology     Hybrid Journal   (Followers: 58)
Journal of Human Performance in Extreme Environments     Open Access   (Followers: 2)
Journal of Immigrant and Minority Health     Hybrid Journal   (Followers: 8)
Journal of Interprofessional Care     Hybrid Journal   (Followers: 14)
Journal of Mental Health Training, Education and Practice, The     Hybrid Journal   (Followers: 9)
Journal of Occupational & Environmental Medicine     Hybrid Journal   (Followers: 20)
Journal of Occupational Health Engineering     Open Access   (Followers: 4)
Journal of Occupational Health Psychology     Full-text available via subscription   (Followers: 41)
Journal of Occupational Medicine and Toxicology     Open Access   (Followers: 12)
Journal of Professional Counseling: Practice, Theory & Research     Hybrid Journal   (Followers: 1)
Journal of Religion and Health     Hybrid Journal   (Followers: 14)
Journal of Safety Studies     Open Access  
Journal of Social Work in Disability & Rehabilitation     Hybrid Journal   (Followers: 14)
Journal of Urban Health     Hybrid Journal   (Followers: 12)
Journal of Vocational Health Studies     Open Access   (Followers: 1)
Karaelmas İş Sağlığı ve Güvenliği Dergisi / Karaelmas Journal of Occupational Health and Safety     Open Access   (Followers: 2)
Learning in Health and Social Care     Hybrid Journal   (Followers: 12)
Musik- Tanz und Kunsttherapie     Hybrid Journal  
New Zealand Journal of Occupational Therapy     Full-text available via subscription   (Followers: 75)
Nordic Journal of Music Therapy     Hybrid Journal   (Followers: 8)
Nordic Journal of Working Life Studies     Open Access   (Followers: 1)
Occupational and Environmental Medicine     Hybrid Journal   (Followers: 18)
Occupational Medicine     Hybrid Journal   (Followers: 13)
Occupational Therapy in Health Care     Hybrid Journal   (Followers: 81)
Perspectives in Public Health     Hybrid Journal   (Followers: 13)
Perspectives interdisciplinaires sur le travail et la santé     Open Access   (Followers: 3)
Physical & Occupational Therapy in Geriatrics     Hybrid Journal   (Followers: 59)
Population Health Metrics     Open Access   (Followers: 5)
Preventing Chronic Disease     Free   (Followers: 3)
Psychology & Health     Hybrid Journal   (Followers: 34)
Qualitative Health Research     Hybrid Journal   (Followers: 33)
Reabilitacijos Mokslai : Slauga, Kineziterapija, Ergoterapija     Open Access   (Followers: 4)
Research in Social Stratification and Mobility     Hybrid Journal   (Followers: 14)
Revista Brasileira de Saúde Ocupacional     Open Access  
Revista Herediana de Rehabilitacion     Open Access   (Followers: 3)
Revue Francophone de Recherche en Ergothérapie RFRE     Open Access   (Followers: 2)
Safety and Health at Work     Open Access   (Followers: 75)
Scandinavian Journal of Occupational Therapy     Hybrid Journal   (Followers: 82)
Sociology of Health & Illness     Hybrid Journal   (Followers: 30)
System Safety : Human - Technical Facility - Environment     Open Access   (Followers: 3)
The Journal of Rural Health     Hybrid Journal   (Followers: 5)
Work, Employment & Society     Hybrid Journal   (Followers: 56)
Workplace Health and Safety     Full-text available via subscription   (Followers: 8)
Zentralblatt für Arbeitsmedizin, Arbeitsschutz und Ergonomie. Mit Beiträgen aus Umweltmedizin und Sozialmedizin     Full-text available via subscription   (Followers: 1)

           

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