scholarly journals Early Enteral Feeding Improves Tolerance of Parenteral Nutrition in Preterm Newborns

Nutrients ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 3886
Author(s):  
Giovanni Boscarino ◽  
Maria Giulia Conti ◽  
Maria Di Chiara ◽  
Marco Bianchi ◽  
Elisa Onestà ◽  
...  
Keyword(s):  
Parenteral Nutrition ◽  
Enteral Feeding ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Early Feeding ◽  
Metabolic Complications ◽  
Metabolic Complication ◽  
Postmenstrual Age ◽  
The Impact ◽  
Preterm Newborns

(1) Background: The tolerance of preterm newborns for the high nutritional intakes given by parenteral nutrition (PN) is still debated because of the risk of metabolic complications. Despite enteral nutrition (EN) being the preferred route of nutrition, an exclusive enteral feeding is not always possible, as in preterm newborns, the gut is immature and less tolerant of EN. We aimed to study the impact of a minimal enteral feeding (MEF) on the possible early metabolic complications of PN in a cohort of preterms with gestational age at birth GA ≤ 29 + 6/7 weeks of postmenstrual age. (2) Methods: We divided the study sample in two cohorts: 1) Late-Feeding (cohort 1), newborns who received MEF starting from the 8th day of age, and (2) Early-Feeding (cohort 2), newborns who received MEF, consisting of the administration of at least 4–5 mL/kg/day by the enteral route, in the first 7 days of age. The primary outcome of the study was the rate of at least one metabolic complication, including hyperglycemia, hypertriglyceridemia, or metabolic acidosis. (3) Results: We enrolled 80 newborns (Late-Feeding cohort 51 vs. Early-Feeding cohort 29). The rate of all metabolic complications was statistically higher in the Late-Feeding cohort compared to the Early-Feeding cohort. Binary logistic regression analysis showed that late administration of MEF negatively influenced the rate of all metabolic complications. (4) Conclusions: Early minimal administration of EN is associated with less frequent PN-related metabolic side effects and a higher rate of survival in critically ill newborns.

scholarly journals Analisis Dampak Tax Morale Terhadap Kepatuhan Pajak UMKM: Studi Kasus Kota Semarang

2018 ◽  
Vol 1 (1) ◽  
pp. 14
Author(s):  
Muslimah Mahmudah ◽  
Deden Dinar Iskandar
Keyword(s):  
Small And Medium Enterprises ◽  
Tax Compliance ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Ethical Business ◽  
Tax Morale ◽  
Business Size ◽  
Medium Enterprises ◽  
The Impact

This study aims to analyze the impact of tax morale on Micro, Small, and Medium Enterprises (MSMEs) tax complianceSemarang City as the case study. This study uses primary data generated from 117 samples of MSMEs in Semarang. Data analysis is performed  using binary logistic regression analysis. The results showed that environmental, institutional, ethical, business, and business size variables significantly influence MSMEs tax compliance. On the other hand, variables whose effect on tax compliance is not statistically significant include happiness, religiosity, gender, age, education, and marital status.

scholarly journals COVID-19-Induced Redundancy and Socio-Psychological Well-Being of Tourism Employees: Implications for Organizational Recovery in a Resource-Scarce Context

2021 ◽  
pp. 004728752110545
Author(s):  
Albert N. Kimbu ◽  
Issahaku Adam ◽  
Frederick Dayour ◽  
Anna de Jong
Keyword(s):  
Marital Status ◽  
Binary Logistic Regression ◽  
Well Being ◽  
Tourism Industry ◽  
Binary Logistic Regression Analysis ◽  
Psychological Well Being ◽  
Education Status ◽  
Managerial Implications ◽  
Future Work ◽  
The Impact

Drawing on social and psychological well-being literature underpinned by the concept of resilience, this study examines the impact of COVID-19 induced redundancy on the socio-psychological well-being of redundant employees (laid-off or working reduced hours), and its effect on their commitment to work and support recovery in the tourism industry. Utilizing a quantitative-dominant mixed methods design, 457 questionnaires were administered, and 15 interviews conducted with redundant employees in Ghana between May and August 2020. Results from a binary logistic regression analysis of the survey data supported by qualitative interview analysis indicate that marital status, education, status of dependents, and the types of tourism businesses employed in, significantly influenced psychological well-being while marital status, age, education, and rank in the organization influenced the social well-being of respondents. Meanwhile, psychological well-being significantly influenced future work commitment in the industry. Managerial implications for supporting employee resilience, well-being, and future recovery strategies are critically examined.

Presence of Additional Safety Belt Enforcement Increases Safety Belt Use by Drivers

2020 ◽  
Vol 2674 (3) ◽  
pp. 93-99
Author(s):  
Lusanni Acosta-Rodriguez ◽  
Valerian Kwigizile ◽  
Jun-Seok Oh ◽  
Timothy Gates
Keyword(s):  
Motor Vehicle ◽  
Geographical Location ◽  
Binary Logistic Regression ◽  
Influential Factors ◽  
Binary Logistic Regression Analysis ◽  
Traffic Enforcement ◽  
Safety Belt ◽  
Primary Means ◽  
The Impact ◽  
Additional Safety

The use of a safety belt is universally recognized as a primary means of reducing injuries and fatalities for motor vehicle occupants. There are several factors that contribute to safety belt utilization, including traffic enforcement, demographics, vehicle type, day of the week, and geographical location. These factors have been explored and found significant in relation to safety belt usage. Apart from these factors, the presence of additional traffic enforcement is generally believed to produce higher rates of safety belt use. However, the impacts provided by the presence/no-presence of additional traffic enforcement have been merely quantified on a disaggregated scale, broadly across an entire state while controlling for other influential factors. Thus, this paper presents an analysis that quantifies the impacts provided by the presence of additional safety belt enforcement on driver safety belt usage. Direct safety belt use observational surveys and traffic enforcement data were used for the analysis. Owing to the nature of the data, a binary logistic regression analysis was performed on the dataset from the state of Michigan. The results showed that for every location where additional traffic enforcement was present, safety belt usage increased by 6.4% per county compared with areas where no additional traffic enforcement was present. Finally, the results not only quantified the impact of traffic enforcement on safety belt use, but could help transportation safety agencies make more informed decisions about where additional safety belt enforcement may be needed to improve rates of safety belt use.

scholarly journals Aortic Arch Calcification as a Predictor of Repeated Arteriovenous Fistula Failure within 1-Year in Hemodialysis Patients

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Yit-Sheung Yap ◽  
Kai-Ting Ting ◽  
Wen-Che Chi ◽  
Cheng-Hao Lin ◽  
Yi-Chun Liu ◽  
...  
Keyword(s):  
Serum Albumin ◽  
Arteriovenous Fistula ◽  
Aortic Arch ◽  
Serum Albumin Level ◽  
Binary Logistic Regression ◽  
Hemodialysis Patients ◽  
Albumin Level ◽  
Binary Logistic Regression Analysis ◽  
The Impact ◽  
Aortic Arch Calcification

Objectives. The aim of the study was to identify the factors associated with repeated arteriovenous fistula (AVF) failure within 1-year, especially the impact of aortic arch calcification (AAC) on patency of AVF.Materials and Methods. We retrospectively assessed chest radiography in hemodialysis patients who had undergone initial AVF. The extent of AAC was categorized into four grades (0–3). The association between AAC grade, other clinical variables, and repeated failure of AVF was then analyzed by binary logistic regression analysis.Results. This study included 284 patients (158 males, mean age61.7±13.1years). Patients with higher AAC grade were older, had more frequently diabetes mellitus and cardiovascular disease, had lower diastolic blood pressure, and had higher corrected calcium and lower intact parathyroid hormone levels. In multivariate analysis, the presence of higher AAC grade (odds ratio (95% confidence interval): 2.98 (1.43–6.23);p=0.004), lower mean corrected calcium (p=0.017), and mean serum albumin level (p=0.008) were associated with repeated failure of AVF.Conclusions. The presence of higher AAC grade, lower mean corrected calcium and mean serum albumin level were independently associated with repeated AVF failure within 1 year in hemodialysis patients.

scholarly journals Operation Pied Piper: a geographical reappraisal of the impact of wartime evacuation on scarlet fever and diphtheria rates in England and Wales, 1939–1945

2015 ◽  
Vol 143 (14) ◽  
pp. 2923-2938
Author(s):  
M. R. SMALLMAN-RAYNOR ◽  
A. D. CLIFF
Keyword(s):  
Scarlet Fever ◽  
Population Change ◽  
Binary Logistic Regression ◽  
Early Years ◽  
Binary Logistic Regression Analysis ◽  
Childhood Diseases ◽  
England And Wales ◽  
Regional Effects ◽  
Disease Rates ◽  
The Impact

SUMMARYThis paper examines the geographical impact of the British Government's wartime evacuation scheme on notified rates of two common acute childhood diseases (scarlet fever and diphtheria) in the 1470 local government districts of England and Wales, 1939–1945. Drawing on the notifications of communicable diseases collated by the General Register Office (GRO), we establish pre-war (baseline) disease rates for the 1470 districts. For the war years, techniques of binary logistic regression analysis are used to assess the associations between (a) above-baseline (‘raised’) disease rates in evacuation, neutral and reception districts and (b) the major phases of the evacuation scheme. The analysis demonstrates that the evacuation was temporally associated with distinct national and regional effects on notified levels of disease activity. These effects were most pronounced in the early years of the dispersal (1939–1941) and corresponded with initial levels of evacuation-related population change at the regional and district scales.

scholarly journals Neonatal Hyperglycemia Related to Parenteral Nutrition Affects Long-Term Neurodevelopment in Preterm Newborn: A Prospective Cohort Study

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1930
Author(s):  
Giovanni Boscarino ◽  
Maria Giulia Conti ◽  
Corinna Gasparini ◽  
Elisa Onestà ◽  
Francesca Faccioli ◽  
...  
Keyword(s):  
Cohort Study ◽  
Parenteral Nutrition ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Background Characteristics ◽  
Motor Delay ◽  
Metabolic Complication ◽  
Preterm Newborns ◽  
Bayley Scales

(1) Background: Recent evidence reported a reduced tolerance of macronutrient parenteral intakes in subjects in critically ill conditions. We designed a prospective cohort study to evaluate the effects of hyperglycemia (HG) related to parenteral nutrition (PN) on neurodevelopment (NDV) in survived preterm newborns. (2) Methods: Enrolled newborns with gestational age < 32 weeks or birth weight < 1500 g, were divided in two cohorts: (A) exposed to moderate or severe HG (glucose blood level > 180 mg/dL) in the first week of life; (B) not exposed to HG. We considered as the primary outcome the rate of preterm newborns survived without NDV delay at 24 months of life, evaluated with Bayley Scales of Infants Development III edition. (3) Results: We analyzed 108 (A 32 vs. B 76) at 24 months of life. Newborns in cohort A showed a higher rate of cognitive and motor delay (A 44% vs. B 22 %, p = 0.024; A 38% vs. B 8%, p < 0.001). When adjusting for background characteristics, HG remained a risk factor for motor delay. (4) Conclusions: High nutritional intakes through PN soon after birth increase the risk of HG. The consequences of this severe metabolic complication affect long-term NDV and survival in preterm newborns.

scholarly journals Prevalence of undernutrition and potential risk factors among children below five years of age in Somali region, Ethiopia: evidence from 2016 Ethiopian demographic and health survey

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Damitie Kebede ◽  
Alebel Aynalem
Keyword(s):  
Risk Factors ◽  
Health Survey ◽  
Potential Risk ◽  
Binary Logistic Regression ◽  
Demographic And Health Survey ◽  
Binary Logistic Regression Analysis ◽  
Somali Region ◽  
Under Nutrition ◽  
Potential Risk Factors ◽  
The Impact

Abstract Background Childhood under-nutrition is far-reaching in low and middle-income nations. Undernutrition is one of the major open wellbeing concerns among newborn children and youthful children in Ethiopia. The present study aimed to explore the potential risk factors of undernutrition among children under 5 years of age in Somali Region, Ethiopia. Methods The data for this study was extricated from the Ethiopian Demographic and Health Survey (EDHS) 2016. The data collected from 1339 children born 5 years before was considered within the analysis. A multivariable binary logistic regression analysis was utilized at a 5% level of significance to decide the individual and community-level variables related to childhood malnutrition. Results The prevalence of stunting, underweight and wasting were 27.4, 28.7 and 22.7%, respectively. About 16.1% of children were both stunted and underweight; the extent of both being underweight and wasted was 11.7%, the prevalence of both stunted and wasted children was 5.5%, and all three malnutrition conditions were 4.7% children. Among the variables considered in this study, age of the child in months, type of birth, anemia level, size of child at birth, sex of the child, mothers’ BMI and sources of drinking water were significantly related to stunting, underweight and wasting in Somali Region. Conclusions The prevalence of stunting, underweight and wasting was relatively high. Undernutrition is one of the major open wellbeing concerns among children in Somali region. The impact of these variables ought to be considered to develop strategies for decreasing the lack of healthy sustenance due to undernutrition in the study areas. Hence, intercession should be centered on making strides for the under-nutrition determinant variables of the children to be solid, to improve the child’s wholesome status, and decrease child mortality quickly.

scholarly journals The Impact of Literacy to Shariah Financial Service Preferences

ETIKONOMI ◽  
2016 ◽  
Vol 15 (1) ◽  
pp. 43-62 ◽  
Author(s):  
Anna Sardiana
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Financial Literacy ◽  
Financial Services ◽  
Binary Logistic Regression ◽  
Financial Service ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Descriptive Research ◽  
The Impact

The purpose of this study was to determine whether the Islamic financial literacy and the indicator as the knowledge, ability or skills and the confidence have a significant effect together and partially to the preferences of using the Islamic financial services. This type of research is descriptive research, while the method of analysis used in this study is the method of binary logistic regression analysis. The data used is primary data by the method of distributing questionnaires to users and non-users of Islamic financial services in Jakarta spread to the period April to May 2014. The results of this study indicate that Islamic financial literacy significant influence preference use Islamic financial services. In further testing, the knowledge indicator is partially significant toward the preferences of the use of Islamic financial services, as for indicators of ability and confidence does not affect the preferences of the use of Islamic financial servicesDOI: 10.15408/etk.v15i1.3115

scholarly journals Influence Factors on Injury Severity of Traffic Accidents and Differences in Urban Functional Zones: The Empirical Analysis of Beijing

2018 ◽  
Vol 15 (12) ◽  
pp. 2722 ◽  
Author(s):  
Zhiyuan Sun ◽  
Jianyu Wang ◽  
Yanyan Chen ◽  
Huapu Lu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Traffic Accidents ◽  
Injury Severity ◽  
Influence Factors ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Functional Zones ◽  
The Impact

The objective of this study was to identify influence factors on injury severity of traffic accidents and discuss the differences in urban functional zones in Beijing. A total of 3982 sets of accident data in Beijing were analyzed from the perspective of whole city and different urban functional zones. From the aspects of accident attribute, occurrence time, infrastructure, management status, and environmental condition, the influence factors set of injury severity of traffic accidents in Beijing are set up in this paper, which include 17 influence factors. Based on Pearson’s chi-squared test, factors are preselected. On the basis of binary logistic regression analysis, the impact of the value of influence factors on injury severity of traffic accidents is calibrated. Based on classification and regression tree analysis, the impact of influence factors is analyzed. Through Pearson’s chi-squared test and binary logistic regression analysis, it is found that there are similarities and differences among different urban functional zones. There are two common influence factors, including accident type and cross-section position, and six personalized influence factors, including lighting conditions, visibility, signal control, road physical isolation facility, occurrence period and road type, and the other nine weak influence factors. The results of binary logistic regression analysis and classification and regression tree analysis are basically the same. The factors that should be paid attention to in different urban functional zones and the value of the factors that need special attention are determined by synthesizing two methods.

The Significance of School-based Programs, School-based Activities, and Community-Based Activities Against Marijuana Use Among Adolescents

2021 ◽  
pp. 002204262110372
Author(s):  
Ngoc N. Nguyen
Keyword(s):  
United States ◽  
Asian American ◽  
Binary Logistic Regression ◽  
Marijuana Use ◽  
The United States ◽  
Binary Logistic Regression Analysis ◽  
Community Based ◽  
School Based ◽  
Main Effects ◽  
The Impact

Background: Marijuana use among adolescents is concerning in the United States, meanwhile, the effectiveness of school-based programs is inconclusive. This study examines the impact of school-based programs, school-based activities, and community-based activities on marijuana use among adolescents. Methods: A binary logistic regression analysis was conducted, using a sample of 16,509 adolescents (age = 12 to 17, male = 51.3%, White = 60.1%, Hispanic = 21.4%, African American = 14.7%, and Asian American = 3.9%) from the 2013 National Survey on Drug Use and Health (NSDUH). Results: Results of the main effects revealed that school-based programs, school-based activities, and community-based activities were deterrent factors against marijuana use among adolescents. Adolescents are less likely to use marijuana if they participate in school-based programs, school-based activities, and community-based activities. Conclusion: The findings of this study have implications for schools and those making educational policy.

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