scholarly journals Psychological Health Assessment Model of Enterprise Employees Based on DNN Technology

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Xin Li

All enterprises gradually recognise the importance of employees’ healthy psychology to business activities in order to improve their own economic level and occupy a certain leading position in the economic market. The main factors affecting employees’ psychological health are used as input samples in this paper, and a network model of enterprise employees’ psychological health prediction based on DNN is developed. To form a specific set, the psychological health indicators are separated from the complex test items. The key influencing factors in psychological health assessment are chosen as input vectors, and the DNN algorithm’s output results are obtained, analysed, and compared. Following sample training, the artificial NN’s error between predicted and measured values is only 3.55 percent, achieving the desired effect. The DNN principle is used in this paper to create a mathematical prediction network model based on an analysis of psychological factors affecting employees in businesses. The calculation of the final result of the prediction system is simple and flexible when the parameters of the NN are changed, and the network model’s prediction efficiency and accuracy are greatly improved.

2018 ◽  
Vol 34 (3) ◽  
pp. 206-215 ◽  
Author(s):  
Rahel Bachem ◽  
Andreas Maercker

Abstract. The present study introduces a revised Sense of Coherence (SOC) scale, a new conceptualization and operationalization of the resilience indicator SOC. It outlines the scale development and aims for testing its reliability, factor structure, and validity. Literature on Antonovsky’s SOC (SOC-A) was critically reviewed to identify needs for improving the scale. The scale was investigated in two samples. Sample 1 consisted of 334 bereaved participants, Sample 2 of 157 healthy controls. The revised SOC Scale, SOC-A, and theoretically relevant questionnaires were applied. Explorative and confirmatory factor analyses established a three-factor structure in both samples. The revised SOC Scale showed significant but discriminative associations with related constructs, including self-efficacy, posttraumatic growth, and neuroticism. The revised measure was significantly associated with psychological health indicators, including persistent grief, depression, and anxiety, but not to the extent as the previous SOC-A. Stability over time was sufficient. The study provides psychometric support for the revised SOC conceptualization and scale. It has several advantages over the previous SOC-A scale (unique variance, distinct factor structure, stability). The scale could be used for clinical and health psychological testing or research into the growing field of studies on resilience over the life span.


2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-Yi Chu-Farseeva ◽  
Yang Qi ◽  
Daron Benjamin Loo

UNSTRUCTURED The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas. Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets. The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.


2009 ◽  
Vol 10 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Karen Jaynes Williams ◽  
Patricia Gail Bray ◽  
Carrie K. Shapiro-Mendoza ◽  
Ilana Reisz ◽  
Jane Peranteau

The authors discuss strategies used and lessons learned by a health foundation during development of a community health assessment model incorporating community-based participatory research (CBPR) approaches. The assessment model comprises three models incorporating increasing amounts of CPBR principles. Model A combines local-area analysis of quantitative data, qualitative information (key informants, focus groups), and asset mapping. Model B, a community-based participatory model, emphasizes participatory rural appraisal approaches and quantitative assessment using rapid epidemiological assessment. Model C, a modified version of Model B, is financially more sustainable for our needs than Model B. The authors (a) describe origins of these models and illustrate practical applications and (b) explore the lessons learned in their transition from a traditional, nonparticipatory, quantitative approach to participatory approaches to community-health assessment. It is hoped that this article will contribute to the growing body of knowledge of practical aspects of incorporating CBPR approaches into community health assessments.


Author(s):  
Fernanda Penido Matozinhos ◽  
Mariana Santos Felisbino-Mendes ◽  
Crizian Saar Gomes ◽  
Ann Kristine Jansen ◽  
Ísis Eloah Machado ◽  
...  

Resume Objective: to estimate the prevalence of ideal cardiovascular health indicators in the Brazilian population, according to gender, age, education and region of residence. Method: cross-sectional study that used data from 41,134 participants of the Surveillance System of Risk and Protective Factors for Chronic Diseases by Telephone Survey (Vigitel). The ideal cardiovascular health assessment considers four behavioral factors: not smoking; body mass index less than 25 kg/m2; practicing physical activity, eating fruits and vegetables five or more times per day; and two clinical factors (no diagnosis of diabetes or hypertension). The sum of factors at ideal levels results in a score ranging from zero (worse cardiovascular health) to six (ideal cardiovascular health). Results: considering the six factors, only 3.4% of the studied population presented ideal levels of cardiovascular health, with the majority of participants (57.6%) presenting three or four ideal factors. Women had higher prevalence of ideal cardiovascular health (3.8% versus 2.9% for men) (p < 0.0001). Conclusion: the findings of this study are consistent with the elevated risk of mortality from cardiovascular disease, observed in the Brazilian population. This may contribute to a better understanding of the scenario of cardiovascular health in the urban population of the country.


2021 ◽  
Vol 11 (19) ◽  
pp. 8896
Author(s):  
Xiuping Han ◽  
Xiaofei Wu ◽  
Jiadong Wang ◽  
Hongwen Li ◽  
Kaimin Cao ◽  
...  

The current status of the research of Ballistocardiography (BCG) and Seismocardiogram (SCG) in the field of medical treatment, health care and nursing was analyzed systematically, and the important direction in the research was explored, to provide reference for the relevant researches. This study, based on two large databases, CNKI and PubMed, used the bibliometric analysis method to review the existing documents in the past 20 years, and made analyses on the literature of BCG and SCG for their annual changes, main countries/regions, types of research, frequently-used subject words, and important research subjects. The results show that the developed countries have taken a leading position in the researches in this field, and have made breakthroughs in some subjects, but their research results have been mainly gained in the area of research and development of the technologies, and very few have been actually industrialized into commodities. This means that in the future the researchers should focus on the transformation of BCG and SCG technologies into commercialized products, and set up quantitative health assessment models, so as to become the daily tools for people to monitor their health status and manage their own health, and as the main approaches of improving the quality of life and preventing diseases for individuals.


2020 ◽  
Vol 99 (1) ◽  
pp. 26-31
Author(s):  
Aleksandr S. Shastin ◽  
S. V. Yarushin ◽  
T. M. Tsepilova ◽  
V. G. Gazimova ◽  
S. R. Guselnikov ◽  
...  

Introduction. Occupational health enforcement in workers as a part of corporate social programs remains an urgent challenge for business entities. Public benefits and economic efficiency of programs for health preservation/disease prevention depend on whether they are arranged well enough with regard to the health status of individual workers and occupational groups. Meanwhile, the regulation of personal data protection limits the ability of business entities to access information about the health status of their employees. Material and methods. We analyzed the physicians’ statements obtained in regular medical examinations of industrial workers for a 5-year period. Results. We identified occupational groups/units with the highest percentage of workers who need sanatorium-resort treatment (SRT). Electric gas welders and furnace operators were estimated to need SRT the most, twice as frequently vs the rest of the workers. Conclusion. Medical check-up examinations not only provide information about the workers with a high risk of occupational diseases, but they also allow identifying occupational groups with a high risk of temporary disability due to common non-communicable diseases. Information obtained from these statements can be used for indicative health assessment in occupational groups of workers. This may be used in detecting prior groups of individuals when planning health-promoting activities and other measures.


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