scholarly journals Diagnóstico en base a la NOM-036-1-STPS-2018 para evaluación de riesgo ergonómico en puestos operativos

2021 ◽  
Vol 5 (3) ◽  
pp. 212-233
Author(s):  
Adriana Fragoso Mora ◽  
María Eugenia Sánchez Ramos ◽  
Gerardo Pérez Duarte Marcoux
Keyword(s):  
Artificial Intelligence ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factores De Riesgo ◽  
Technical Evaluation ◽  
Para Determinar ◽  
Identification Analysis ◽  
And Control ◽  
Ergonomic Risk Factors

La presente investigación tiene como objetivo para identificar, analizar y controlar los factores de riesgo ergonómico bajo la NOM-036-1-STPS-2018 en puestos operativos a partir de tecnologías de inteligencia artificial. Los materiales y métodos utilizados están con base los requerimientos técnicos aplicados mediante evaluación técnica a partir de un estudio observacional, descriptivo de corte transversal con procesamiento de datos  en una arquitectura tecnológica basada en un modelo de estimación de pose humana que utiliza la Tecnología Tensorflow por medio de una red neuronal artificial convolucional  para determinar los índices en posturas ergonómicas con riesgo significativo y posturas sanas para los puestos  involucrados en el diagnóstico. AbstractThe objective of this research is the identification, analysis, and control of ergonomic risk factors in operational positions under NOM-036-1-STPS-2018 obtained by means of artificial intelligence technologies. The materials and methods used are based on the technological requirements applied, by means of a technical evaluation on basis of an observational, descriptive, cross-sectional study with data processing, in a technological architecture based on an estimative model of human posture using TensorFlow technology, through an artificial convolutional neuronal network to determine indexes of hazardous ergonomic posture with good posture for operational positions involved in this diagnosis.

scholarly journals Comparison of predicted psychological distress among workers between artificial intelligence and psychiatrists: a cross-sectional study in Tsukuba Science City, Japan

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e046265
Author(s):  
Shotaro Doki ◽  
Shinichiro Sasahara ◽  
Daisuke Hori ◽  
Yuichi Oi ◽  
Tsukasa Takahashi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Psychological Distress ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
The Neural Network ◽  
Significant Difference ◽  
Total Data

ObjectivesPsychological distress is a worldwide problem and a serious problem that needs to be addressed in the field of occupational health. This study aimed to use artificial intelligence (AI) to predict psychological distress among workers using sociodemographic, lifestyle and sleep factors, not subjective information such as mood and emotion, and to examine the performance of the AI models through a comparison with psychiatrists.DesignCross-sectional study.SettingWe conducted a survey on psychological distress and living conditions among workers. An AI model for predicting psychological distress was created and then the results were compared in terms of accuracy with predictions made by psychiatrists.ParticipantsAn AI model of the neural network and six psychiatrists.Primary outcomeThe accuracies of the AI model and psychiatrists for predicting psychological distress.MethodsIn total, data from 7251 workers were analysed to predict moderate and severe psychological distress. An AI model of the neural network was created and accuracy, sensitivity and specificity were calculated. Six psychiatrists used the same data as the AI model to predict psychological distress and conduct a comparison with the AI model.ResultsThe accuracies of the AI model and psychiatrists for predicting moderate psychological distress were 65.2% and 64.4%, respectively, showing no significant difference. The accuracies of the AI model and psychiatrists for predicting severe psychological distress were 89.9% and 85.5%, respectively, indicating that the AI model had significantly higher accuracy.ConclusionsA machine learning model was successfully developed to screen workers with depressed mood. The explanatory variables used for the predictions did not directly ask about mood. Therefore, this newly developed model appears to be able to predict psychological distress among workers easily, regardless of their subjective views.

scholarly journals Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study

2021 ◽  
Vol 3 (3) ◽  
pp. e148-e157 ◽  
Author(s):  
Benjamin Rader ◽  
Laura F White ◽  
Michael R Burns ◽  
Jack Chen ◽  
Joseph Brilliant ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Usa ◽  
And Control

scholarly journals A prevalence study on hypertension among practising advocates in Madurai

2018 ◽  
Vol 6 (1) ◽  
pp. 360
Author(s):  
P. Praveena ◽  
Shanthi Edward
Keyword(s):  
Care Management ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
District Court ◽  
Sectional Study ◽  
Cross Sectional ◽  
Work Pressure ◽  
Main Factors ◽  
And Control ◽  
Health Counsellor

Background: In recent years, the practice of law is demanding and exceedingly stressful occupation. Main factors concerned are, being overloaded with work, unsupported, lack of appreciation, long hours, unattainable targets. Even the most balanced and well-adjusted advocates at some point eventually succumbs to the pressures of working in the legal field. It causes hypertension and a great impact on ones’well being. Hence the main objective of the study is to find out the prevalence of hypertension among practising advocates, thereby effective measures can be taken to prevent and control hypertension and its complications.Methods: : A cross-sectional study was conducted in a sample of 300 practising advocates at Madurai district court for a period of 1 year by simple random sampling method.Results: The overall prevalence of hypertension among the practising advocates was found to be 41% (123). Among the 123 hypertensives, 56 (18.7%) were known hypertensives and 67 (22.3%) were newly detected hypertensives.Conclusions: The cause for hypertension among the advocates may be due to hectic work pressure. Advocates being professionals are well educated and informative. Regular adoption of basic life style modification practices, short vacations, arrangement of health camps in court premises with guidance of bar council association, recruitment of health counsellor in Bar Council Association for health educating and counselling the advocates, regular monitoring of health status by self-care management can control and prevent hypentension.

scholarly journals Hypertension prevalence, associated factors, treatment, and control in rural Cameroon: a cross-sectional study

2020 ◽  
Author(s):  
Larissa Pone Simo ◽  
Valirie Ndip Agbor ◽  
Jean Jacques Noubiap ◽  
Orlin Pagnol Nana ◽  
Pride Swiri-Muya Nkosu ◽  
...  
Keyword(s):  
Rural Communities ◽  
Rural Community ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hypertension Prevalence ◽  
History Of ◽  
Family History Of Hypertension ◽  
And Control

Abstract Introduction: Sub-Saharan Africa is experiencing a surge in the burden of hypertension, and rural communities seem to be increasingly affected by the epidemic. Objectives: We aimed to determine the prevalence of hypertension, its associated factors, as well as its awareness, treatment, and control rates in rural communities of the Baham Health District (BHD), Cameroon.Design: A community-based cross-sectional study.Setting: Participants from five health areas in the BHD were recruited from August to October 2018.Participants: Consenting participants aged 18 years or older were included. Results: We included 526 participants in this study. The median age of the participants was 53.0 (IQR = 35 – 65) years and 67.1% were female. The prevalence of hypertension was 40.9% (95% confidence interval [CI] = 36.7 – 45.1) were hypertensive with no gender disparity. The overall age-standardised prevalence of hypertension was 23.9% (95% CI = 20.3 – 27.5). Five-year increase in age (adjusted odd’s ratio [AOR] = 1.34; 95% CI = 1.23 – 1.44), family history of hypertension (AOR = 2.22; 95% CI = 1.37 – 3.60), and obesity were associated with higher odds of hypertension (AOR = 2.57; 95% CI = 1.40 – 4.69).The rates of awareness, treatment, and control of hypertension were 37.2% (95% CI = 31.0 – 43.9), 20.9% (95% CI = 16.0 – 26.9), and 22.2% (95% CI = 15.2 – 46.5), respectively.Conclusion: The high hypertension prevalence in this rural community is associated with contrastingly low awareness, treatment, and control rates. Age, family history of hypertension, and obesity are the major drivers of hypertension in this community. Veracious policies are needed to improve awareness, prevention, diagnosis, treatment, and control of hypertension in this rural community.

scholarly journals Survey on Zoonotic Importance and Prevalence of Dirofilaria immitis Infection in Dogs of Tabriz, Iran

2020 ◽  
Vol 1 (1) ◽  
pp. 11-13
Author(s):  
Hossein Hashemzadeh Farhang ◽  
Seyed Razi Bahavarnia ◽  
Mohamad Javad Esmailzadeh ◽  
Navid Mahmoudi Kamalabad
Keyword(s):  
Dirofilaria Immitis ◽  
Circulatory System ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Comprehensive Examination ◽  
And Gender ◽  
One Year ◽  
Statistical Survey ◽  
And Control

Background: Dirofilaria immitis is one of the most important parasites of the circulatory system of dogs that causes severe cardiovascular events in the animal and it is reported to be the most common nematode in humans and dogs from many parts of Iran. Methods: In order to investigate the presence of Dirofilaria immitis infection in Tabriz, Iran, a cross-sectional study was performed on 200 owned and stray dogs. The blood samples were analyzed using Knott method. The prevalence of D. immitis infection was reported to be 15% in owned dogs. Results: The highest levels of infection were reported in dogs less than one year of age and the lowest in dogs aged over 9 years. In a statistical survey, there was a significant relationship between infection and gender. Conclusion: According to the findings of this study, due to the presence of D. immitis infection in this region, the need for a more comprehensive examination and control of the infection in this region is emphasized.

scholarly journals Assessment on awareness towards preventive measures of COVID-19 in Sheka, Southwestern Ethiopia: Community based cross-sectional Study

2021 ◽  
Author(s):  
Assaye Belay Gelaw ◽  
Solomon Abebaw Andargie
Keyword(s):  
Public Health Problem ◽  
Cross Sectional Study ◽  
P Value ◽  
Critical Element ◽  
Sectional Study ◽  
Community Based ◽  
Cross Sectional ◽  
Southwestern Ethiopia ◽  
Prevention Methods ◽  
And Control

Abstract Background: The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and it is the most important of public health problem worldwide. A critical element in tackling the COVID-19 crisis is personal behavioral change; however, there is a paucity of evidence about peoples’ awareness towards COVID-19 pandemic. Hence, the aim of this was to assess the community’s awareness status towards COVID-19 in Sheka, Southwestern Ethiopia.Methods: Community-based cross-sectional study was conducted 10th to 21th April 2020. Four hundred-nineteen individuals participated during the study. Both univariable and multivariable logistic regression analyses were used to identify significant factors of awareness status, and variables with p-value<0.05 indicated it significantly influences the awareness status of the individuals towards COVID-19.Results: According to the study’s results, nearly half (49.4 %) of the participants had awareness about COVID-19 pandemic. Factors such being female equal (AOR: 0.476, 95%CI: 0.293, 0.772),education being secondary and above(AOR:2.178,95%CI:1.323,3.586),and prevention methods being fully used (AOR,8.127,95%CI: 1.273, 51.871)were significantly influencing the awareness status of the community towards COVID-19 pandemic than their counterparts.Conclusion: The study showed that there is a low awareness status among people towards COVID-19.Hence, programs to improve awareness towards COVID-19 pandemic is essential to prevent and control the pandemic.

scholarly journals Relationship between Periodontitis and Glaucoma: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Soo Hwan Byun ◽  
Dae Myoung Yoo ◽  
Minwook Chang ◽  
Hyo Geun Choi ◽  
Seok Jin Hong
Keyword(s):  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Epidemiological Data ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Epidemiology Study ◽  
Chi Square ◽  
Cross Sectional ◽  
History Of ◽  
And Control

The objective of this cross-sectional study was to evaluate the association between periodontitis and glaucoma. This prospective cohort study used epidemiological data from the Korean Genome and Epidemiology Study performed between 2004 and 2016. Among 173,209 participants, 9572 patients with periodontitis and 115,332 controls (nonperiodontitis) were selected. We analysed the history of glaucoma in periodontitis and control participants. The participants were interviewed regarding their history of hypertension, diabetes mellitus, hyperlipidaemia, periodontitis, glaucoma, smoking, and alcohol consumption by trained interviewers. A logistic regression model was created to analyse the odds ratio of having a history of glaucoma among patients with periodontitis. Two-tailed analyses using chi-square and independent t-tests were used for statistical analysis. The adjusted odds ratio of periodontitis as a risk factor for glaucoma was 3.44 (95% confidence interval = 2.99–3.97, p < 0.001 ). This study demonstrated that glaucoma was associated with periodontitis.

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