{"title":"Nurse Educators’ Ineffective Coping Mechanisms: Do They Propagate Classroom Incivility?","authors":"M. Pyles","doi":"10.9734/bpi/idhr/v2/3448f","DOIUrl":"https://doi.org/10.9734/bpi/idhr/v2/3448f","url":null,"abstract":"Background: Nursing student incivility has been explicitly described by research, with evidence that nursing students engage in uncivil behaviours on a routine basis. The role of nurse educators has grown to include not only creative classroom and clinical strategies but also strategies for the management of nursing student incivility. The rise in incivility among nursing students is causing great concern for nurse educators and administrators alike. Stress, like incivility, has been connected to the development of negative coping reactions and has an impact on an individual's view of an uncivil interaction. \u0000Methods: A mixed-methods convergent parallel design was used to collect data from 39 nurse educators working at three nursing schools in the southern region of the United States. Creswell [1] described the design as “combining elements of both qualitative and quantitative approaches” (p. 3). The design's convergent method enabled the researcher to collect both quantitative and qualitative data, conduct separate analyses, and compare the results. The method supported the Transactional Model of Stress and Coping [2], which served as the study's foundation. A mixed-methods convergent parallel design was appropriate for this investigation. According to the paradigm, people make an initial assessment of the importance or threat of a stressful situation (e.g., challenging, positive, controllable, stressful, or irrelevant). If the encounter is perceived to be dangerous, a secondary appraisal will occur, activating an individual's coping mechanisms. The design enabled the researcher to identify the coping strategies used by nurse educators, when confronted with uncivil encounters with nursing students. \u0000Setting: Three different nursing schools in the southern region of the United States served as the study's location. \u0000Sample: The sample was a convenience sample of nurse educators employed at the schools of nursing at the selected universities in the southern United States. Selection criteria required participants to be a nurse educator employed by one of the designated universities' schools of nursing in the southern United States. \u0000Procedure for Data Collection: Following receipt of Institutional Review Board approval from all of the selected institutions, a letter was drafted and sent to the deans of the nursing schools at the selected universities, requesting permission to collect data. Following approval from the three study schools, data collection on participants began. Participants were given electronic consent forms and told that completing the surveys meant they were participating voluntarily. Participants were given information about human informed consent and told that there would be no long-term physical effects and minimal (if any) long-term emotional or psychological effects from taking part in the study. When discussing their experiences with nursing student incivility, participants were told that they might experience some emotional","PeriodicalId":334876,"journal":{"name":"Issues and Development in Health Research Vol. 2","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131310762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Fimia-Duarte, Jorge Luis Contreras Vidal, David del Valle Laveaga, Ricardo Osés Rodríguez, R. A. García, María Patricia Zambrano Gavilanes
{"title":"Study on the Methodology of Regressive Objective Regression According to the New SARS-CoV-2 COVID-19 Pandemic in the Municipality of Santa Clara and Cuba","authors":"R. Fimia-Duarte, Jorge Luis Contreras Vidal, David del Valle Laveaga, Ricardo Osés Rodríguez, R. A. García, María Patricia Zambrano Gavilanes","doi":"10.9734/bpi/idhr/v2/11458d","DOIUrl":"https://doi.org/10.9734/bpi/idhr/v2/11458d","url":null,"abstract":"The COVID-19 pandemic affecting planet Earth has had a peculiar development in our country. The objective of the research consisted in modeling by means of the methodology of the Regressive Objective Regression (ROR) a set of parameters (deaths, critical, severe, serious, confirmed and new cases) inherent to the SARS pandemic CoV-2 COVID-19, during the year 2020 in Cuba. The parameters analyzed were: deaths, severe, critical, confirmed and new cases in Santa Clara municipality, Villa Clara province and Cuba. The modeling used was Objective Regressive Regression (ORR), which is based on a combination of Dummy variables with ARIMA modeling. In the ROR methodology, dichotomic variables DS, DI and NoC are created in a first step, and then the module corresponding to the Regression analysis is executed, specifically the ENTER method where the predicted variable and the ERROR are obtained. Mathematical models were obtained by means of the ROR methodology which explain their behavior, depending on 6, 4, 10 and 14 days in advance depending on the variable to be studied, which made it possible to make long-term prognoses, allowing measures to be taken in the clinical services, thus avoiding and reducing the number of deaths and complications in patients with COVID-19. Although COVID-19 is a new disease in the world, it can be followed by means of mathematical ROR modeling, which allows to reduce the number of dead, severe and critical patients for a better management of the pandemic.","PeriodicalId":334876,"journal":{"name":"Issues and Development in Health Research Vol. 2","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Obesity and Insulin Resistance are Major Concerns in the Prevention and Treatment of Comorbidities","authors":"E. Govers","doi":"10.9734/bpi/idhr/v2/11032d","DOIUrl":"https://doi.org/10.9734/bpi/idhr/v2/11032d","url":null,"abstract":"For a long time the assumption has been that, although weight reduction was necessary and desirable, comorbidities were far more important and needed treatment even if weight loss was not a treatment goal, preferably with medication. This controversy leads to postponement of treatment, and later on causes too intensive medical treatment. Thus, raising the health care costs to unacceptable levels, leading to the medicalization of individuals and declining of the own responsibility of patients for their health, leaving it up to individuals when to regard their own weight as a problem that should be dealt with. The aim of this article was to produce evidence to support a shift of paradigm regarding the relationship between body weight and comorbidities. The central problem is insulin resistance which leads to a cascade of health problems. This condition should be diagnosed in primary practice and obesity clinics, to ensure a better tailor-made treatment for patients. Treatment should start at the earliest stage possible, when comorbidities are still reversible and includes a personalized dietary advice and counseling preferably by a dietitian to tackle insulin resistance. An exercise program is part of the treatment.","PeriodicalId":334876,"journal":{"name":"Issues and Development in Health Research Vol. 2","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gilberto Flores-Vargas, N. Padilla-Raygoza, M. D. J. Gallardo-Luna, E. Navarro-Olivos, Hazel Marisol Urrusquieta-Flores, S. N. Jiménez-García, E. Ramírez‐Moreno, Verónica Benítez-Guerrero, José Arias-Rico
{"title":"Determination of Relationship among Macronutrient Intake and Overweight/Obesity in School Children from Celaya, Guanajuato, Mexico","authors":"Gilberto Flores-Vargas, N. Padilla-Raygoza, M. D. J. Gallardo-Luna, E. Navarro-Olivos, Hazel Marisol Urrusquieta-Flores, S. N. Jiménez-García, E. Ramírez‐Moreno, Verónica Benítez-Guerrero, José Arias-Rico","doi":"10.9734/bpi/idhr/v2/3500f","DOIUrl":"https://doi.org/10.9734/bpi/idhr/v2/3500f","url":null,"abstract":"Objective: To determine if exists relationship between macronutrient intake and overweight/obesity in schoolchildren, from Celaya, Guanajuato, Mexico. \u0000Methods: 225 school-aged children (6 to 13 years) were evaluated in Celaya, Guanajuato. Anthropometric measurements were performed and individual interviews with parents and children were conducted to collect information on the frequency of food consumption using a validated questionnaire (SNUT) from which the intake of macronutrients (carbohydrates, proteins, and fats) and fat subtypes. Chi squared statistic was computed, and its corresponding p-value, to identify the association of macronutrient intake with overweight/obesity in schoolchildren. \u0000Results: There are not relationship between macronutrient intake (proteins, carbohydrates, and lipids) and overweight/obesity in this sample of schoolchildren from Celaya, Guanajuato. Macronutrients with obesity were: carbohydrates with obesity, X2 = 3.47, P=.18; proteins X2 = 3.36, P=.19; lipids (Z for two proportions) with P>.05. \u0000Conclusion: It is possible that there are other strong factors in relationship with overweight/obesity, such as physical activity.","PeriodicalId":334876,"journal":{"name":"Issues and Development in Health Research Vol. 2","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122096347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Afterpain: An Overview","authors":"S. Namboothiri","doi":"10.9734/bpi/idhr/v2/3333f","DOIUrl":"https://doi.org/10.9734/bpi/idhr/v2/3333f","url":null,"abstract":"Women experience various kinds of physical discomforts after childbirth. Abdominal afterpain is one among them, which is an indicator of uterine involution (the process by which reproductive organs revert back into the pre-pregnant state). Afterpain usually goes undetected because of the predominating nature of other forms of pain and discomforts. This chapter is based on an original study aimed to identify the nature and characteristics of afterpain among postnatal mothers. This chapter seeks to identify the factors affecting the afterpain, experience of mothers on the abdominal afterpain and the key strategies in the management of afterpain.","PeriodicalId":334876,"journal":{"name":"Issues and Development in Health Research Vol. 2","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123067847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}