Influence of night shift work on functional state of autonomous nervous system in workers exposed to occupational hazards

Author(s):  
Yuliya A. Ivashova ◽  
Ol’ga Yu. Ustinova ◽  
Elena M. Vlasova ◽  
Dmitrii M. Shlyapnikov

Features of work schedule in continuous technologic processes necessitate study of its influence on vegetative functions dynamics, to develop early diagnostic measures and prevention of health disorders. The examination covered 22 males exposed to occupational hazards at work schedule including night shifts; average age 35,3±4,1 years, average length of service 10,2±3,1 years. The reference group included 28 males with analogous occupations and work conditions with work schedule without night shifts; average age 37,9±3.3 years (p>0,05), average length of service 13,2±3,2 years (p>0,05). Clinical evaluation of the autonomous nervous system was performed according to standardized protocol and questionnaire of A.M. Vein. Variability of heart rhythm was assessed with software complex «Poly-Spectr–8/EX» by standard method. Findings are that the workers exposed to occupational hazards and engaged into work schedule with night shifts during 5 years demonstrate the level of vegetative regulation at rest corresponding to the physiologic one; but on exertion there is intense stress of adaptation mechanisms and significant decrease of functional resources. If length of service from 5 to 10 years, the vegetative regulation is characterized by dysbalance of adaptation mechanisms and vegetative dysfunction development; additional exertion cause overstrain sympathetic part with depletion of compensatory mechanisms. If length of service over 10 years, there is excessive involvement of sympathetic influences after orthoclinostatic test — that indicates severe strain of vegetative regulation mechanisms.

Author(s):  
G. I. Tikhonova ◽  
T. E. Piktushanskaya ◽  
T. Yu. Gorchakova ◽  
A. N. Churanova ◽  
M. S. Bryleva

Th e article presents results of analytic epidemiologic study of mortality in coal miners cohort in Rostov region, who had occupational disease registered in various years. The cohort included 9980 males, the observation period was 26 years (01/01/1990–31/12/2015). Deep analysis of mortality with leading death causes in subgroups of coal miners differentiated by length of service in underground conditions. Standardized relative risk of death in the subgroups increased with longer length of service, with respiratory diseases, circulatory system diseases and malignancies.The authors studied mortality in subcohorts of the miners with leading and auxiliary occupations, whose work conditions differ in intensity of exposure to occupational hazards. For the workers with leading occupations, standardized relative risk of death with respiratory diseases, circulatory system diseases and malignancies was higher.


Author(s):  
L. M. Karamova ◽  
E. R. Shaikhlislamova ◽  
A. V. Basharova ◽  
N. V. Vlasova

Introduction. Multiple studies of health state of workers in various economic branches of Russia revealed that peripheral nervous system diseases are among the most prevalent disorders. Th eir prevalence varies from 32.3 to 58 diseases per 100 examined workers, and they occupy usually fi rst place in the morbidity structure. Th ey are leaders among occupational diseases also. Objective. To determine features of occupational morbidity with peripheral nervous system diseases and its structure among workers in various economic branches of Bashkortostan Republic. Materials and methods. Th orough analysis covered occupational morbidity with peripheral nervous system diseases by separate branches, workers who are directly exposed to occupational hazards. Specifi c levels of the morbidity are defi ned by occupations, length of service in each economic branch. Results. Over 100 cases of occupational diseases are annually registered in Bashkortostan Republic. Over a half of them (54%) are diseases of peripheral nervous system. Th eir share among all occupational diseases tends to increase. Th e most prevalent type of peripheral nervous system diseases are radiculopathy (0.29 cases) and vibration disease (0.14 cases per 10,000 workers). Nearly all occupational diseases of peripheral nervous system are diagnosed in machinery building, metallurgic, mining, oil extracting industries, agriculture and building industry. In these economic branches, average of 16.59 cases per 10,000 workers exposed to occupational hazards is assigned to occupational peripheral nervous system diseases. Occupational diseases of peripheral nervous system diagnosed at average length of service of 23,3±3,4 years. Th e study results helped to determine specifi c economic branches associated with peripheral nervous system disorders development. At the highest risk of peripheral nervous system disorders are workers of mining (20,8‰0) and metallurgic (10,6‰0) industries. Conclusions. Peripheral nervous system diseases are the main causes of occupational morbidity, detailed according to specifi c economic branches and occupational groups, should be a basis of particular measures on lower impact of occupational risk factors, on prevention, health preservation, occupational and medical rehabilitation of the diseased.


Author(s):  
D. V. Alpaev ◽  
V. V. Serikov ◽  
D. V. Sitovich ◽  
O. E. Chernov

Introduction. Work of locomotive crew members (engine drivers and engine driver assistants) in railway transport is associated with exposure to complex of occupational hazards including psychoemotional stress and shiftwork (with night shifts) along with noise and vibration.Objective. To study influence of shift work (with irregular alternation of day and night shifts) on biorhythms disturbances in locomotive crew workers.Materials and methods. Polls, simulators of occupational activities with training complex «Cabin of engine driver EP1M», daily monitoring of blood pressure, statistic data processing by SPSS–20 software.Results. Findings are that 953 locomotive crew workers (94%) experienced sensations of temporary disorientation, slight dizziness, sleepiness, interpreted as monotony and sensor deprivation. 61% of the examinees demonstrated frustration signs, in 30% of the cases there were certain manifestations of mental ill-being — irritability, fatigue, weariness, absent-mindedness, anxiety; 27.2% of the testees experiences various sleep disorders; 13.8% of the workers complained of «light sleep», 2% of those — restless sleep, 0.6% — sleeplessness. In occupationally related biorhythms disturbance, the body undergoes occupational adaptation, with partial transformation for atypical schedule of sleep and wakefulness.Results. To preserve health, efforts should be aimed at adaptation to shifted occupational activities with safe adaptogenic medications, low-caloric diet for individuals working at irregular shifts, create conditions for adequate physical activity of the workers between shifts. Necessities also are individual norms for blood pressure parameters in engine drivers with night shiftwork, specification of antihypertensive treatment for patients with irregular shifted work.


2020 ◽  
Vol 17 (2) ◽  
pp. 110-120
Author(s):  
N.D. Sorokina ◽  
◽  
L.R. Shahalieva ◽  
S.S. Pertsov ◽  
L.V. Polma ◽  
...  

One of the most common causes of chronic pain in the facial region, including in the trigeminal nerve link, which is not associated with dental diseases, is pain dysfunction of the temporomandibular joint. At the same time, there is evidence in the literature that there are relationships between pain dysfunction of the temporomandibular joint, abnormal occlusion, cervical-muscular tonic phenomena, postural disorders, dysfunction of the Autonomous nervous system and cochleovestibular manifestations. At the same time, neurophysiological indicators of functional disorders in the maxillofacial region and intersystem interactions in pain dysfunction of the temporomandibular joint are insufficiently studied.Goal. The aim of the work is to evaluate the neurophysiological features of trigeminal afferentation in terms of trigeminal somatosensory evoked potentials (TSWP) and the auditory conducting system of the brain in terms of acoustic stem evoked potentials (ASVP) in distal occlusion of the dentition with pain dysfunction of the temporomandibular joint (TMJ) in comparison with physiological occlusion in students 18-21 years old. Material and methods. The main study included 41 students with distal occlusion (21 girls and 20 boys), (grade II Engl, symmetrically right and left in 14 people, and grade II Engl on the left and grade I on the right in 12 people, grade I on the left and grade II on the right in 15 people). All respondents with distal occlusion and who were practically healthy signed an informed consent to participate in the study. We used complex orthodontic methods of examination, subjective degree of severity and intensity of pain in the TMJ, assessment of the Autonomous nervous system (samples and tests), and neurophysiological methods for assessing TSVP and ASVP. Results. Significant differences in ASEP parameters were found in the group of respondents with distal occlusion in the form of a decrease in the latency period of peak I, III, and V compared to physiological occlusion, that correlated with the subjective assessment (in points) of cochleovestibular disorders. According to the TSVP study, a decrease in the duration of latent periods was found, which indicates an increased excitability of non-specific brain stem structures at the medullo-ponto-mesencephalic level compared to the control group. Conclusions. The results obtained are supposed to be used for differential diagnostics, including such dental diseases as TMJ pain dysfunction, occlusion abnormalities accompanied by pain syndrome. Additional functional diagnostics of multi-modal VP of the brain (acoustic evoked potentials, trigeminal evoked potentials) can be performed in conjunction with indicators of autonomic nervous system dysfunction, with parameters of severity of clinical symptoms of cochleovestibular disorders, musculoskeletal dysfunction the maxillofacial area, with indicators of pain, which will determine the tactics and effectiveness of subsequent treatment.


2021 ◽  
Vol 15 (1) ◽  
pp. 151-160
Author(s):  
Hemant P. Kasturiwale ◽  
Sujata N. Kale

The Autonomous Nervous System (ANS) controls the nervous system and Heart Rate Variability (HRV) can be used as a diagnostic tool to diagnose heart defects. HRV can be classified into linear and nonlinear HRV indices which are used mostly to measure the efficiency of the model. For prediction of cardiac diseases, the selection and extraction features of machine learning model are effective. The available model used till date is based on HRV indices to predict the cardiac diseases accurately. The model could hardly throw light on specifics of indices, selection process and stability of the model. The proposed model is developed considering all facet electrocardiogram amplitude (ECG), frequency components, sampling frequency, extraction methods and acquisition techniques. The machine learning based model and its performance shall be tested using the standard BioSignal method, both on the data available and on the data obtained by the author. This is unique model developed by considering the vast number of mixtures sets and more than four complex cardiac classes. The statistical analysis is performed on a variety of databases such as MIT/BIH Normal Sinus Rhythm (NSR), MIT/BIH Arrhythmia (AR) and MIT/BIH Atrial Fibrillation (AF) and Peripheral Pule Analyser using feature compatibility techniques. The classifiers are trained for prediction with approximately 40000 sets of parameters. The proposed model reaches an average accuracy of 97.87 percent and is sensitive and précised. The best features are chosen from the different HRV features that will be used for classification. The present model was checked under all possible subject scenarios, such as the raw database and the non-ECG signal. In this sense, robustness is defined not only by the specificity parameter, but also by other measuring output parameters. Support Vector Machine (SVM), K-nearest Neighbour (KNN), Ensemble Adaboost (EAB) with Random Forest (RF) are tested in a 5% higher precision band and a lower band configuration. The Random Forest has produced better results, and its robustness has been established.


Author(s):  
Tomohide Kubo ◽  
Shun Matsumoto ◽  
Takeshi Sasaki ◽  
Hiroki Ikeda ◽  
Shuhei Izawa ◽  
...  

Abstract Purpose We aimed to cross-sectionally investigate how work and sleep conditions could be associated with excessive fatigue symptoms as an early sign of Karoshi (overwork-related cerebrovascular and cardiovascular diseases; CCVDs). Methods We distributed a questionnaire regarding work, sleep, and excessive fatigue symptoms to 5410 truck drivers, as the riskiest occupation for overwork-related CCVDs, and collected 1992 total samples (response rate: 36.8%). The research team collected 1564 investigation reports required for compensation for Karoshi. Of them, 190 reports listed the prodromes of Karoshi, which were used to develop the new excessive fatigue symptoms inventory. Results One-way analyses of variance showed that the excessive fatigue symptoms differed significantly by monthly overtime hours (p < 0.001), daily working time (p < 0.001), work schedule (p = 0.025), waiting time on-site (p = 0.049), number of night shifts (p = 0.011), and sleep duration on workdays (p < 0.001). Multivariate mixed-model regression analyses revealed shorter sleep duration as the most effective parameter for predicting excessive fatigue symptoms. Multiple logistic regression analysis confirmed that the occurrences of CCVDs were significantly higher in the middle [adjusted ORs = 3.56 (1.28–9.94)] and high-score groups [3.55 (1.24–10.21)] than in the low-score group. Conclusion The findings suggested that shorter sleep duration was associated more closely with a marked increase in fatigue, as compared with the other work and sleep factors. Hence, ensuring sleep opportunities could be targeted for reducing the potential risks of Karoshi among truck drivers.


BMC Neurology ◽  
2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Emmanouil V. Dermitzakis ◽  
Vasilios K. Kimiskidis ◽  
George Lazaridis ◽  
Zoi Alexopoulou ◽  
Eleni Timotheadou ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Marco Daniel Gulewitsch ◽  
Judith Müller ◽  
Paul Enck ◽  
Katja Weimer ◽  
Juliane Schwille-Kiuntke ◽  
...  

Background. Frequent abdominal pain (AP) in children and adolescents is often designated as functional gastrointestinal disorder. In contrast to research on psychological and social influences on the experience of AP in this population, psychophysiological features such as function of the autonomic nervous system, the central nervous system, or the endocrine system have rarely been studied.Methods. We conducted a systematic literature search for peer-reviewed journal articles referring to children with AP between 4 and 18 years. Studies on experimental baseline characteristics or reactivity of psychophysiological outcome parameters (autonomous nervous system, central nervous system, and endocrine parameters) were included.Key Results. Twelve of 18 included studies found psychophysiological differences between children with AP and healthy ones. These studies indicate a possible autonomic dysregulation and hypersensitivity of the central nervous system in children with AP following stimulation with stress or other intense stimuli. Mainly conflicting results were found regarding baseline comparisons of autonomic and endocrine parameters.Conclusions and Inferences. Frequent AP in children may be associated with an altered psychophysiological reaction on intense stimuli. It has to be considered that the current literature on psychophysiological characteristics of childhood AP is small and heterogeneous. In particular, multiparameter studies using validated experimental paradigms are lacking.


1999 ◽  
Vol 86 (3) ◽  
pp. 1081-1091 ◽  
Author(s):  
Vincent Pichot ◽  
Jean-Michel Gaspoz ◽  
Serge Molliex ◽  
Anestis Antoniadis ◽  
Thierry Busso ◽  
...  

Heart rate variability is a recognized parameter for assessing autonomous nervous system activity. Fourier transform, the most commonly used method to analyze variability, does not offer an easy assessment of its dynamics because of limitations inherent in its stationary hypothesis. Conversely, wavelet transform allows analysis of nonstationary signals. We compared the respective yields of Fourier and wavelet transforms in analyzing heart rate variability during dynamic changes in autonomous nervous system balance induced by atropine and propranolol. Fourier and wavelet transforms were applied to sequences of heart rate intervals in six subjects receiving increasing doses of atropine and propranolol. At the lowest doses of atropine administered, heart rate variability increased, followed by a progressive decrease with higher doses. With the first dose of propranolol, there was a significant increase in heart rate variability, which progressively disappeared after the last dose. Wavelet transform gave significantly better quantitative analysis of heart rate variability than did Fourier transform during autonomous nervous system adaptations induced by both agents and provided novel temporally localized information.


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