scholarly journals Accuracy of the defining characteristics in nursing diagnoses of Hyperthermia in newborns

2018 ◽  
Vol 71 (2) ◽  
pp. 357-362 ◽  
Author(s):  
Wislla Ketlly Menezes de Aquino ◽  
Marcos Venícios de Oliveira Lopes ◽  
Viviane Martins da Silva ◽  
Nathaly Bianka Moraes Fróes ◽  
Angélica Paixão de Menezes ◽  
...  
Keyword(s):  
Latent Class ◽  
Early Stage ◽  
Latent Class Model ◽  
High Specificity ◽  
Cross Sectional Study ◽  
Class Model ◽  
Cross Sectional ◽  
The City ◽  
Nursing Diagnoses ◽  
Higher Sensitivity

ABSTRACT Objective: to clinically validate the accuracy of the defining characteristics in nursing diagnoses of Hyperthermia in newborns. Method: a cross-sectional study conducted in units of medium and high risk in a maternity from the city of Fortaleza-CE. A total of 216 newborns were evaluated to identify the defining characteristics of diagnoses. A latent class model with random effects was used to measure sensitivity and specificity. Results: Hyperthermia was present in 5.6% of the sample. The characteristics lack of suction maintenance (31.3%); skin warm to touch (25.5%); lethargy (24.2%); and tachypnea (21.4%) were the most frequent. Stupor presented higher sensitivity (99.9%) and specificity (100%) while vasodilation characteristics, irritability and lethargy only showed significant values for specificity (92.7%, 91.6% and 74.3%, respectively). Conclusion: four characteristics of high specificity contribute to Hyperthemia. However, stupor is the only one with significant sensitivity to identify it at its early-stage.

scholarly journals A Study to Determine the Frequency Rate of Scoliosis Disorder and Compare the Anthropometric Characteristics of Normal versus the Scoliosis Diagnosed Students

2016 ◽  
Vol 8 (9) ◽  
pp. 288
Author(s):  
Gholamreza Khosravi ◽  
Mohammad Reza Sharif ◽  
Erfan Khosravi ◽  
Fatemeh Kardan ◽  
Hamed Haddad Kashani ◽  
...  
Keyword(s):  
Early Stage ◽  
Cross Sectional Study ◽  
Bending Test ◽  
School Students ◽  
Cross Sectional ◽  
Significant Difference ◽  
Anthropometric Characteristics ◽  
Spss Software ◽  
The City ◽  
Test Result

<p><strong>INTRODUCTION: </strong>Postural deformities are commonly acquired disorders that occur throughout the life. The purpose of this research was to determine and compare the frequency of scoliosis disorder and anthropometric characteristics of normal versus the disordered Students.</p><p><strong>MATERIALS AND METHODS:</strong> This was a cross-sectional study that was performed on 1416 girls and boys of elementary school students in the city of Kashan in education year 2010-2011. Adams bending test was employed to examine 1416 students to identify the disorder. Seca scale was employed to measure weight and inflexible tape was used to measure the height of students. SPSS software was employed to analyze the data. </p><p><strong>RESULTS: </strong>The result of analysis showed that 63.8 percent of students were boys and 36.2 percent were girls. The frequency of scoliosis in boys and girls was 29.8 and 24.2 percent, respectively. Independent t-test result showed that there was a significant difference between the height and weight of normal versus the scoliosis identified boys and girls student (P=0.004, 0.031; 0.0001, 0.041).</p><p><strong>CONCLUSION:</strong> These types of studies are conducted regularly to identify poor postural cases at an early stage. The identification of acquired deformities at an early stage is important since it provides the opportunity to take the appropriate measures to correct them.  Early identification of scoliosis is vital to maximize effectiveness of treatment.</p>

scholarly journals COVID-19-related stigma and its influencing factors: a nationwide cross-sectional study during the early stage of the pandemic in China

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e048983
Author(s):  
Tianyu Jiang ◽  
Xudong Zhou ◽  
Leesa Lin ◽  
Yanzheng Pan ◽  
Yuyuan Zhong ◽  
...  
Keyword(s):  
Health Literacy ◽  
Online Survey ◽  
Early Stage ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Low Health Literacy ◽  
Related Stigma ◽  
The Individual ◽  
The City

ObjectivesTo describe the situation of COVID-19-related stigma towards patients with COVID-19 and people from the city of Wuhan in China and to assess the associations between COVID-19-related stigma, health literacy and sociodemographic characteristics during March 2020, the early stage of the pandemic.DesignA cross-sectional online survey.SettingThe study surveyed 31 provinces in China.ParticipantsThis study surveyed 5039 respondents in China.Outcome measuresPublic stigma towards both patients with COVID-19 and Wuhan residents was measured. Binary logistic regression was used to identify the factors associated with public COVID-19-related stigma.ResultsAmong the participants, 122 (2.4%) reported themselves and 254 (5.0%) reported the communities they lived in as holding a stigmatising attitude towards patients with COVID-19, respectively. Additionally, 114 (2.5%) and 475 (10.3%) reported that themselves and the communities they lived in, respectively, held a stigma against people from Wuhan, which was the most severely affected area in China. People aged over 40, lived in areas with severe epidemics (adjusted OR (aOR)=2.03, 95% CI (1.05 to 3.92)) and who felt it difficult to find and understand information about COVID-19 (aOR=1.91, 95% CI (1.08 to 3.37); aOR=1.88, 95% CI (1.08 to 3.29)) were more likely to stigmatise patients with COVID-19. People who were male, aged 41–50 and had difficulty understanding information (aOR=2.08, 95% CI (1.17 to 3.69)) were more likely to stigmatise people from Wuhan.ConclusionsPatients with COVID-19 and Wuhan residents suffered stigma at both the individual and the community levels. Those who had low health literacy, who lived in areas with a large number of COVID-19 cases and who were of ethnic minorities were more likely to stigmatise others. Tailored interventions are encouraged to improve health literacy and consequently to reduce public COVID-19-related stigma.

scholarly journals Accuracy of the clinical indicators of ineffective health management in celiac people

2020 ◽  
Vol 73 (3) ◽  
Author(s):  
Leonardo Alexandrino da Silva ◽  
Cristina Costa Bessa ◽  
Nirla Gomes Guedes ◽  
Marcos Venícios de Oliveira Lopes ◽  
Viviane Martins da Silva ◽  
...  
Keyword(s):  
Risk Factor ◽  
Daily Living ◽  
Latent Class ◽  
Health Management ◽  
Latent Class Model ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Clinical Indicators ◽  
Reduce Risk ◽  
Reduce Risk Factor

ABSTRACT Objective: to analyze the accuracy of clinical indicators of “Ineffective health management” in celiac patients and to verify associations between sociodemographic characteristics and clinical indicators. Method: a cross-sectional study, conducted from May to September 2017, with 83 celiac patients, through an interview. Accuracy measures were defined by latent class model. Results: there was a prevalence of “Ineffective health management” of 55.69%. “Failure to take action to reduce risk factor” and “Failure to include treatment regimen in daily living” better predict this diagnosis. Paid occupation reduces the chance of the presence of “Difficulty with prescribed regimen”. Participation in support association reduces the chance of the presence of “Difficulty with prescribed regimen”, “Ineffective choices in daily living for meeting health goal” and “Failure to take action to reduce risk factor”. Conclusion: accurate clinical indicators identification assists clinical reasoning for diagnostic inference in specific health contexts.

scholarly journals Multimorbidity patterns in old adults and their associated multi-layered factors: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiao Lu ◽  
Yuan Wang ◽  
Lihong Hou ◽  
Zhenxing Zuo ◽  
Na Zhang ◽  
...  
Keyword(s):  
Latent Class ◽  
Metabolic Diseases ◽  
Ecological Model ◽  
Explanatory Power ◽  
Cross Sectional Study ◽  
Shanxi Province ◽  
Cluster Sampling ◽  
Cross Sectional ◽  
Old Patients ◽  
Old Adults

Abstract Background Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model. Methods In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns. Results The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. “Degenerative/digestive diseases”, “metabolic diseases” and “cardiovascular diseases” were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05). Conclusions In management of old patients with multimorbidity, we should prioritize both the “lifestyle change”-centered systematic management strategy and group-customized intervention programs.

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