scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2020 ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background: The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required.Objective: The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods: We used data from the Korea National Health and Nutrition Examination Surveys from 2013-2018. A total of 21,193 (9,022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results: A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03-1.27). Conclusions: The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required. Objective The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods We used data from the Korea National Health and Nutrition Examination Surveys from 2013 to 2018. A total of 21,193 (9022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03–1.27). Conclusions The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2020 ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background: The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required.Objective: The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods: We used data from the Korea National Health and Nutrition Examination Surveys from 2013-2018. A total of 21,193 (9,022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results: A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03-1.27). Conclusions: The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

scholarly journals Association between breakfast skipping and metabolic outcomes with sex, age, and work status stratification

2020 ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Young Men ◽  
Working Hours ◽  
Final Analysis ◽  
Work Status ◽  
Working Population ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Breakfast Eating

Abstract Background The association between breakfast skipping and abnormal metabolic outcome remains controversial. Large study with stratified data is needed. Objective The aim of the current study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping with sex, age, and work status stratification. Methods We used data from the Korea National Health and Nutrition Examination Surveys from 2013–2018. A total of 21,193 (9,022 men and 12,171 women) participants were included in the final analysis. The risk of the increased total number of metabolic outcomes linked to breakfast skipping was estimated using the Poisson regression analysis with sex, work status, and age stratification. Results A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. In the irregular breakfast eating group, young men in the working population demonstrated a higher risk of metabolic syndrome after adjustment (odds ratio, 1.15; 95% confidence interval, 1.06–1.25). We found a similar association among middle-aged men in the working population (odds ratio, 1.11; 95% confidence interval, 1.05–1.19). Conclusions The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association between specific working conditions (working hours or shift working) and breakfast intake status and the risk of metabolic outcomes

scholarly journals PENERAPAN REGRESI BINOMIAL NEGATIF UNTUK MENGATASI OVERDISPERSI PADA REGRESI POISSON

2013 ◽  
Vol 2 (2) ◽  
pp. 6
Author(s):  
PUTU SUSAN PRADAWATI ◽  
KOMANG GDE SUKARSA ◽  
I GUSTI AYU MADE SRINADI
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Poisson Regression ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Poisson Regression Model ◽  
Response Variable ◽  
Poisson Regression Analysis ◽  
Binomial Regression ◽  
The Mean

Poisson regression was used to analyze the count data which Poisson distributed. Poisson regression analysis requires state equidispersion, in which the mean value of the response variable is equal to the value of the variance. However, there are deviations in which the value of the response variable variance is greater than the mean. This is called overdispersion. If overdispersion happens and Poisson Regression analysis is being used, then underestimated standard errors will be obtained. Negative Binomial Regression can handle overdispersion because it contains a dispersion parameter. From the simulation data which experienced overdispersion in the Poisson Regression model it was found that the Negative Binomial Regression was better than the Poisson Regression model.

Barriers to Hospice Care in Trauma Patients: The Disparities in End-of-Life Care

2018 ◽  
Vol 35 (8) ◽  
pp. 1081-1084 ◽  
Author(s):  
Krista L. Haines ◽  
Hee Soo Jung ◽  
Tiffany Zens ◽  
Scott Turner ◽  
Charles Warner-Hillard ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Race And Ethnicity ◽  
Negative Binomial ◽  
Hospice Care ◽  
Negative Binomial Regression ◽  
Trauma Patients ◽  
Uninsured Patients ◽  
Chi Square ◽  
Binomial Regression ◽  
Insured Patients

Introduction: End-of-life and palliative care are important aspects of trauma care and are not well defined. This analysis evaluates the racial and socioeconomic disparities in terms of utilization of hospice services for critically ill trauma patients. Methods: Trauma patients ≥15 years old from 2012 to 2015 were queried from the National Trauma Databank. Chi-square and multivariate logistic regression analyses for disposition to hospice were performed after controlling for age, gender, comorbidities, injury severity, insurance, race, and ethnicity. Negative binomial regression analysis with margins for length of stay (LOS) was calculated for all patients discharged to hospice. Results: Chi-square analysis of 2 966 444 patient’s transition to hospice found patients with cardiac disease, bleeding and psychiatric disorders, chemotherapy, cancer, diabetes, cirrhosis, respiratory disease, renal failure, cirrhosis, and cerebrovascular accident (CVA) affected transfer ( P < .0001). Logistic regression analysis after controlling for covariates showed uninsured patients were discharged to hospice significantly less than insured patients (odds ratio [OR]: 0.71; P < .0001). Asian, African American, and Hispanic patients all received less hospice care than Caucasian patients (OR: 0.65, 0.60, 0.73; P < .0001). Negative binomial regression analysis with margins for LOS showed Medicare patients were transferred to hospice 1.2 days sooner than insured patients while uninsured patients remained in the hospital 1.6 days longer ( P < .001). When compare to Caucasians, African Americans patients stayed 3.7 days longer in the hospital and Hispanics 2.4 days longer prior to transfer to hospice ( P < .0001). In all patients with polytrauma, African Americans stayed 4.9 days longer and Hispanics 2.3 days longer as compared to Caucasians ( P < .0001). Conclusions: Race and ethnicity are independent predictors of a trauma patient’s transition to hospice care and significantly affect LOS. Our data demonstrate prominent racial and socioeconomic disparities exist, with uninsured and minority patients being less likely to receive hospice services and having a delay in transition to hospice care when compared to their insured Caucasian counterparts.

scholarly journals Selective tweeting of COVID-19 articles: Does title or abstract positivity influence dissemination?

2021 ◽  
Author(s):  
Nicholas Fabiano ◽  
Zachary Hallgrimson ◽  
Stanley Wong ◽  
Jean-Paul Salameh ◽  
Sakib Kazi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Open Access ◽  
Negative Binomial ◽  
Regression Coefficient ◽  
Negative Binomial Regression ◽  
Regression Coefficients ◽  
P Values ◽  
Confounding Variables ◽  
Binomial Regression ◽  
Likelihood Ratio Testing

Background: Previous research has shown that articles may be cited more frequently on the basis of title or abstract positivity. Whether a similar selective sharing practice exists on Twitter is not well understood. The objective of this study was to assess if COVID-19 articles with positive titles or abstracts were tweeted more frequently than those with non-positive titles or abstracts. Methods: COVID-19 related articles published between January 1st and April 14th, 2020 were extracted from the LitCovid database and all articles were screened for eligibility. Titles and abstracts were classified using a list of positive and negative words from a previous study. A negative binomial regression analysis controlling for confounding variables (2018 impact factor, open access status, continent of the corresponding author, and topic) was performed to obtain regression coefficients, with the p values obtained by likelihood ratio testing. Results: A total of 3752 COVID-19 articles were included. Of the included studies, 44 titles and 112 abstracts were positive; 1 title and 7 abstracts were negative; and 3707 titles and 627 abstracts were neutral. Articles with positive titles had a lower tweet rate relative to articles with non-positive titles, with a regression coefficient of -1.10 (P < .001), while the positivity of the abstract did not impact tweet rate (P = .2218). Conclusion: COVID-19 articles with non-positive titles are preferentially tweeted, while abstract positivity does not influence tweet rate.

Analyses of determinants of hiking tourism demands on the Jeju Olle hiking trail using zero-truncated negative binomial regression analysis

2019 ◽  
Vol 26 (8) ◽  
pp. 1327-1343 ◽  
Author(s):  
Munhyang (Moon) Oh ◽  
Seongseop (Sam) Kim ◽  
Youngjoon Choi
Keyword(s):  
Regression Analysis ◽  
South Korea ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Visit Frequency ◽  
Binomial Regression ◽  
Absence Of Evidence

This study identified the determinants of hiking tourism demands to bridge the gap resulting from the absence of evidence in the tourism literature. The main survey was administered through personal interviews with hikers on the Jeju Olle hiking trail in South Korea. The study adopted zero-truncated negative binomial regression analysis to estimate accurately the demands of hikers who have visited the trail at least once. The results indicated that the frequency of visits to the trail decreases by 49% when hikers set a premium on their tour experience of one unit. The visit frequency of tourists who value recreation on the trail was 1.8 times higher than that of tourists who do not. The results will assist trail authorities in allocating budgets, prioritizing the improvement and maintenance of facilities and services, and providing tailored services and facilities to hikers.

Are US antidumping cases being crowded out by other forms of protectionism?

2019 ◽  
Vol 19 (1) ◽  
pp. 1-7
Author(s):  
Prashant Desai ◽  
Robert M. Feinberg
Keyword(s):  
Regression Analysis ◽  
Trade Policy ◽  
Design Methodology ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Donald Trump ◽  
Content Type ◽  
Binomial Regression

Purpose The issue of substitutability between various modes of import protection has been studied by economists in various ways. Since President Donald Trump came into office and soon started imposing tariffs, the need by US firms to file antidumping (AD) cases would seem to have been reduced. This study aims to examine whether such a reduction in AD cases has occurred. Design/methodology/approach Quarterly US AD filings via a negative binomial regression analysis are explained. Patterns based on data from 1995 through 2016 are obtained first and then predict US AD petitions for 2017 and 2018. Findings The authors reject a hypothesis of substitution away from AD in the Trump era of general protectionism but do find some support for the notion that protection moves downstream, with greater than predicted AD filings in downstream metals sectors. Originality/value This is the first study to examine the possibility of trade policy substitutability in the Trump era.

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