scholarly journals Investigation of the Relationship between Trauma, Anxiety, Depression and Stress in Kerman Emergency Medical and Emergency Center 115

2020 ◽  
pp. 25-31 ◽  
Author(s):  
Mohammadreza Soltaninejad ◽  
Mohsen Aminizadeh ◽  
Amin Saberinia
Keyword(s):  
Mental Health ◽  
Correlation Coefficient ◽  
Correlation Coefficients ◽  
Spearman Correlation ◽  
Emergency Center ◽  
Statistical Population ◽  
Emergency Medical ◽  
Spss Software ◽  
Anxiety Depression ◽  
The Relationship

Introduction: The efficacy of psychological and pharmacological approaches is broadly similar in the acute treatment of psychopharmacology disorders. One of the most important stressful environmental stimuli that can cause chronic stress is people's jobs. And since promoting the mental health of individuals in a society, especially its constituent classes, is essential to the dynamics and growth of that society, this research was conducted with the aim of investigating the relationship between trauma caused by accident and anxiety, depression, and stress in Kerman Emergency Medical and Emergency Center during 2019. Methods: This is a descriptive-correlational study. The statistical population was all 70 personnel members of Emergency Medical and 115 Emergency Centers in Kerman. The Depression, Stress and Anxiety Scale 21 and Trauma Screening were used as the instruments of measurement. Pearson and Spearman correlation coefficients through SPSS software were used to test the hypotheses. Results: There is a significant and direct correlation between trauma caused by accidents and personnel anxiety with a correlation coefficient of 0.407. Also, there is a significant and direct correlation between trauma caused by accidents and personnel depression with a correlation coefficient of 0.407. There is also a significant and direct relationship between trauma caused by accidents and personnel stress with a correlation coefficient of 0.388. Conclusion: Our data suggested that mental health along with personality traits is a solution to reduce stress and anxiety resulting from the personnel facing trauma caused by accidents.

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2017 ◽  
pp. 429-438
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

Evaluation of Cultural Intelligence in Staff of Industries, Mines and Trades Organizations - Case Study

2016 ◽  
Vol 4 (2) ◽  
pp. 1-10
Author(s):  
Mohammad Abdolshah ◽  
Baranak Geranfar ◽  
Eisa Akbari ◽  
Jalil Vaziri
Keyword(s):  
Organizational Culture ◽  
Correlation Coefficient ◽  
Cultural Intelligence ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Statistical Population ◽  
Key Competencies ◽  
The Relationship ◽  
Personnel Department

This article examines one of the key competencies of the 21st century known as cultural intelligence (CQ). This study investigates the relationship between CQ, organizational culture, and the effectiveness of staff in the industry, mine, and trade organizations of Semnan province in Iran. Using correlational analysis, the statistical population includes a total of 103 people from 141 employees based on personnel department documents. Three questionnaires were used to measure the variables and descriptive and deductive statistics were applied to evaluate and analyze the data. The Pearson correlation coefficient and multivariate regression were used in deductive statistics to obtain the results. The findings show there is a significant relationship between CQ, organizational culture, and effectiveness. Among four cultural intelligence factors, only the knowledge of CQ can predict the effectiveness. The calculated correlation coefficient indicates that the creativity factors and communication pattern have the highest correlation coefficients.

IMPROVEMENT OF SPRING DURUM WHEAT SELECTION METHODOLOGIES UNDER CLIMATE CHANGE CONDITIONS

1970 ◽  
pp. 33-36
Author(s):  
А. I. Grabovets ◽  
V. P. Kadushkina ◽  
S. А. Kovalenko
Keyword(s):  
Grain Yield ◽  
Durum Wheat ◽  
Correlation Coefficient ◽  
Harvest Index ◽  
Unit Area ◽  
Correlation Coefficients ◽  
Chemical Mutagenesis ◽  
Main Method ◽  
The Relationship ◽  
Selection Of

With the growing aridity of the climate on the Don, it became necessary to improve the methodology for conducting the  breeding of spring durum wheat. The main method of obtaining the source material remains intraspecific step hybridization. Crossings were performed between genetically distant forms, differing in origin and required traits and properties. The use of chemical mutagenesis was a productive way to change the heredity of genotypes in terms of drought tolerance. When breeding for productivity, both in dry years of research and in favorable years, the most objective markers were identified — the size of the aerial mass, the mass of grain per plant, spike, and harvest index. The magnitude of the correlation coefficients between the yield per unit area and the elements of its structure is established. It was most closely associated with them in dry years, while in wet years it decreased. Power the correlation of the characteristics of the pair - the grain yield per square meter - the aboveground biomass averaged r = 0.73, and in dry years it was higher (0.91) than in favorable ones (0.61 - 0.70) , between the harvest and the harvest index - r = 0.81 (on average). In dry years, the correlation coefficient increased to 0.92. Research data confirms the greatest importance of the mass of grain from one ear and the plant in the formation of grain yield per unit area in both dry and wet years. In dry years, the correlation coefficient between yield and grain mass per plant was on average r = 0.80; in favorable years, r = 0.69. The relationship between yield and grain mass from the ear was greater — r = 0.84 and r = 0.82, respectively. Consequently, the breeding significance of the aboveground mass and the productivity of the ear, as a criterion for the selection of the crop, especially increases in the dry years. They were basic in the selection.

scholarly journals Innovative Correlation Coefficient Measurement with Fuzzy Data

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Berlin Wu ◽  
Chin Feng Hung
Keyword(s):  
Mathematics Achievement ◽  
Correlation Coefficient ◽  
Empirical Studies ◽  
Correlation Coefficients ◽  
Interval Data ◽  
Fuzzy Data ◽  
Pearson’S Correlation Coefficient ◽  
Coefficient Measurement ◽  
The Relationship ◽  
Fuzzy Interval

Correlation coefficients are commonly found with crisp data. In this paper, we use Pearson’s correlation coefficient and propose a method for evaluating correlation coefficients for fuzzy interval data. Our empirical studies involve the relationship between mathematics achievement and other projects.

The relationship between age and athletes' view of the phenomenon of doping

2021 ◽  
Vol 3 (2) ◽  
pp. 45-48
Author(s):  
Mohammad Saeed Kiani ◽  
◽  
Keivan Shabani Moghaddam ◽  
Keyword(s):  
T Test ◽  
Statistical Population ◽  
The Face ◽  
Kolmogorov Smirnov ◽  
Spss Software ◽  
Science Classes ◽  
New Generation ◽  
The Relationship ◽  
Cluster Random Sampling ◽  
Smirnov Test

The purpose of this study was to investigate the relationship between age and athletes' attitude to doping. A 40- question researcher-made questionnaire was used to collect the data. The face and content validity of the questionnaire was confirmed by a survey of professors related to the research subject and its reliability was reported to be 0.79 using Cronbach's alpha. The statistical population of the study consisted of all athletes in Kermanshah province that to the large number of samples, cluster random sampling method was used. Finally, 700 questionnaires were returned, out of which 431 were used. Data were analyzed using SPSS software. Descriptive statistics (mean, standard deviation, percentage, tables, graphs, etc.) for analysis of data as well as inferential statistics (one-sample t-test, independent t-test and analysis of variance) and Kolmogorov-Smirnov test was used to determine the normality of the data distribution. The results showed that there is a difference between the new generation of athletes and the older generation in terms of doping. Therefore, the athlete should consult with experienced people (those who use these substances) and a physician, and be aware of the side effects of these supplements by attending training and science classes. Avoid using them whenever possible.

scholarly journals Causal and mediating factors for anxiety, depression and well-being

2015 ◽  
Vol 206 (6) ◽  
pp. 456-460 ◽  
Author(s):  
Peter Kinderman ◽  
Sara Tai ◽  
Eleanor Pontin ◽  
Matthias Schwannauer ◽  
Ian Jarman ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Well Being ◽  
Health Problems ◽  
Subjective Well Being ◽  
Online Questionnaire ◽  
Mediating Factors ◽  
Low Levels ◽  
Anxiety Depression ◽  
The Relationship

BackgroundThe relationship between well-being and mental ill health is complex; people may experience very low levels of well-being even in the absence of overt mental health problems.AimsThis study tested the hypothesis that anxiety, depression and well-being have different causal determinants and psychological mediating mechanisms.MethodThe influence of causal and mediating factors on anxiety, depression and well-being were investigated in a cross-sectional online questionnaire survey hosted on a UK national broadcasting website.ResultsMultivariate conditional independence analysis of data from 27 397 participants revealed different association pathways for the two constructs. Anxiety and depression were associated with negative life events mediated by rumination; low levels of subjective well-being were associated with material deprivation and social isolation, mediated by adaptive coping style.ConclusionsOur findings support the ‘two continua’ model of the relationship between psychological well-being and mental health problems, with implications for both treatment and prevention.

scholarly journals ABC framework of fear of COVID-19 for psychotherapeutic intervention in Nepal: a review

2020 ◽  
Author(s):  
Dhirendra Paudel
Keyword(s):  
Mental Health ◽  
Stress Disorders ◽  
Physical And Mental Health ◽  
Primary Health Care Centers ◽  
Attending Physician ◽  
Anxiety Depression ◽  
The Impact ◽  
The Relationship ◽  
Health Care Centers ◽  
Different Levels

The COVID-19 pandemic is having an impact on physical and mental health. Most studies report the impact on mental health and mental distress during the pandemic. As a result of various stressors (such as lockdown, quarantines, and misinformation) there is heightened fear of a pandemic. The sufferer may experience a variety of symptoms of anxiety, depression, and even psychosis. In predisposed vulnerable individuals, fear of COVID-19 is perpetuating pain and dysfunction. This study discussed the ABC framework of fear and influencer to better understand the different levels of symptoms and interventions. There is an urgent need to integrate mental health into primary health-care centers. The attending physician should be aware of the stress disorders associated with the pandemic. This article introduces a handy and practical portrayal of the ABC framework that can be taught to individuals in distress during clinical visits to primary care centers providing awareness of the relationship between thinking, emotional and behavioral responses.

scholarly journals Evaluating the Relationship Between Fitbit Sleep Data and Self-Reported Mood, Sleep, and Environmental Contextual Factors in Healthy Adults: Pilot Observational Cohort Study (Preprint)

2020 ◽  
Author(s):  
Darshan Thota
Keyword(s):  
Mental Health ◽  
Contextual Factors ◽  
Sleep Time ◽  
Mental Health Disorders ◽  
Active Duty ◽  
Observational Cohort Study ◽  
Spearman Correlation ◽  
Observational Cohort ◽  
Health Disorders ◽  
The Relationship

BACKGROUND Mental health disorders can disrupt a person’s sleep, resulting in lower quality of life. Early identification and referral to mental health services are critical for active duty service members returning from forward-deployed missions. Although technologies like wearable computing devices have the potential to help address this problem, research on the role of technologies like Fitbit in mental health services is in its infancy. OBJECTIVE If Fitbit proves to be an appropriate clinical tool in a military setting, it could provide potential cost savings, improve clinician access to patient data, and create real-time treatment options for the greater active duty service member population. The purpose of this study was to determine if the Fitbit device can be used to identify indicators of mental health disorders by measuring the relationship between Fitbit sleep data, self-reported mood, and environmental contextual factors that may disrupt sleep. METHODS This observational cohort study was conducted at the Madigan Army Medical Center. The study included 17 healthy adults who wore a Fitbit Flex for 2 weeks and completed a daily self-reported mood and sleep log. Daily Fitbit data were obtained for each participant. Contextual factors were collected with interim and postintervention surveys. This study had 3 specific aims: (1) Determine the correlation between daily Fitbit sleep data and daily self-reported sleep, (2) Determine the correlation between number of waking events and self-reported mood, and (3) Explore the qualitative relationships between Fitbit waking events and self-reported contextual factors for sleep. RESULTS There was no significant difference in the scores for the pre-intevention Pittsburg Sleep Quality Index (PSQI; mean 5.88 points, SD 3.71 points) and postintervention PSQI (mean 5.33 points, SD 2.83 points). The Wilcoxon signed-ranks test showed that the difference between the pre-intervention PSQI and postintervention PSQI survey data was not statistically significant (Z=0.751, <i>P</i>=.05). The Spearman correlation between Fitbit sleep time and self-reported sleep time was moderate (r=0.643, <i>P</i>=.005). The Spearman correlation between number of waking events and self-reported mood was weak (r=0.354, <i>P</i>=.163). Top contextual factors disrupting sleep were “pain,” “noises,” and “worries.” A subanalysis of participants reporting “worries” found evidence of potential stress resilience and outliers in waking events. CONCLUSIONS Findings contribute valuable evidence on the strength of the Fitbit Flex device as a proxy that is consistent with self-reported sleep data. Mood data alone do not predict number of waking events. Mood and Fitbit data combined with further screening tools may be able to identify markers of underlying mental health disease.

scholarly journals Validation of the pediatric Radboud dysarthria assessment

2021 ◽  
pp. 1-12
Author(s):  
Marieke Ruessink ◽  
Lenie van den Engel-Hoek ◽  
Marjo van Gerven ◽  
Bea Spek ◽  
Bert de Swart ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Intraclass Correlation ◽  
Self Care ◽  
Reliability And Validity ◽  
Correlation Coefficients ◽  
Activity Level ◽  
Clinical Use ◽  
Spearman Correlation ◽  
Rater Reliability ◽  
Video Recordings

PURPOSE: The Radboud Dysarthria Assessment (RDA) was published in 2014. Adaptation into a pediatric version (p-RDA) was required because of relevant differences between children and adults. The purpose of this study was to assess the feasibility of the p-RDA and to test intra-rater and inter-rater reliability as well as the validity of the two severity scales (function and activity level). METHODS: Video recordings were made of 35 participants with (suspected) dysarthria (age 4 to 17 years) while being assessed using the p-RDA. Intra-rater reliability was assessed by one, and inter-rater reliability by two experiments using the Intraclass Correlation Coefficient (ICC). Validity of the severity scales was tested by correlating the consensus scores with the independently rated scores on four communication scales, three mobility scales, and one self-care scale using Spearman correlation coefficients (r s). RESULTS: The assessment was applicable for 89% of the tested sample, with good intra-rater and inter-rater reliability (ICC = 0.88–0.98 and 0.83–0.93). The p-RDA severity scales (function and activity level) correlated from substantially to strongly with the communication scales (r s = 0.69–0.82 and 0.77–0.92) and self-care scale (r s = 0.76–0.71) and correlated substantially with the mobility scales (r s = 0.49–0.60). CONCLUSION: The feasibility, reliability and validity of the p-RDA are sufficient for clinical use.

scholarly journals Methods of Estimating Correlation Coefficients in the Presence of Influential Outlier(s)

2021 ◽  
Vol 4 (3) ◽  
pp. 157-185
Author(s):  
Etaga H.O. ◽  
Okoro I. ◽  
Aforka K.F. ◽  
Ngonadi L.O.
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Pearson Correlation Coefficient ◽  
Spearman Correlation ◽  
Correlation Methods ◽  
Linear Relationships ◽  
Median Correlation ◽  
Standing Problem ◽  
Research Analysis

Correlation methods are indispensable in the study of the linear relationship between two variables. However, many researchers often adopt inappropriate correlation methods in the study of linear relationships which usually leads to unreliable results. Recurrently, most researchers ignorantly employ the Pearson method in a dataset that contained outliers, instead of more appropriate correlation methods such as Spearman, Kendall Tau, Median and Quadrant which might be suitable in the calculation of correlation coefficient in the presence of influential outliers. It is noted that the accuracy of estimation of correlation coefficients under outliers has been a long-standing problem for methodological researchers. This is due to low knowledge of correlation methods and their assumptions which have led to inappropriate application of correlation methods in research analysis. Five different methods of estimating correlation coefficients in the presence of influential outlier (contaminated data) were considered: Pearson Correlation Coefficient, Spearman Correlation Coefficient, Kendall Tau Correlation Coefficient, Median Correlation Coefficient and Quadrant Correlation Coefficient.

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