scholarly journals Should I Stay or should I Go? Determinants of Evacuation upon Flood Warning among Households in a Flood Prone Area in Bukidnon, Philippines

2016 ◽  
Vol 50 ◽  
pp. 70-75 ◽  
Author(s):  
Michael Arieh P. Medina ◽  
Jackielyn M. Moraca
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
College Education ◽  
The Philippines ◽  
Flood Warning ◽  
The Family ◽  
Prone Area ◽  
Flood Prone Area ◽  
Socio Demographic Factors

To identify factors that influence the decision to evacuate upon flood warning by authorities, a study was conducted in a flood prone area in the province of Bukidnon in the Philippines. A survey of flood victims was conducted in Batangan Village, Valencia City, Bukidnon, Philippines wherein 150 respondents were interviewed. Logistic regression analysis was done to test the socio demographic factors that could influence a family’s decision to either evacuate or stay upon advice by government authorities. College education, presence of children in the home, poverty, and extent of flood experienced were found to significantly influence the decision of the family to evacuate. Based on this information, the study provides recommendations for disaster managers in case of future flood incidence in the area.

Social and Environmental Influences on Child Mortality in Brazil: Logistic Regression Analysis of Data from Census Files

1986 ◽  
Vol 18 (1) ◽  
pp. 87-102 ◽  
Author(s):  
Cesar G. Victora ◽  
Peter G. Smith ◽  
J. Patrick Vaughan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Child Mortality ◽  
Logistic Regression Analysis ◽  
Family Income ◽  
Census Data ◽  
Multivariate Logistic Regression Analysis ◽  
Childhood Mortality ◽  
Piped Water ◽  
The Family

SummaryCensus data were used to investigate the influences of socioeconomic and environmental variables on child mortality rates in southern Brazil. By multivariate logistic regression analysis the effects of correlated factors were distinguished, after adjustment for maternal age and parity. Low family income and, to a lesser degree, low employment status of the head of the family were associated with high child mortality levels. Place of residence, education of the mother and of the head of the family, availability of piped water in the home, access to a toilet and type of housing were all associated with childhood mortality variation, even after allowing for the effects of income and employment. The contributions of the source of the water supply and type of sanitation facilities, however, were less clear and tended to become unimportant after controlling for the socioeconomic variables. There was also no apparent advantage in being covered by government health insurance.

scholarly journals PELUANG TERJADINYA PENGANGGURAN DI PROVINSI BENGKULU : SEBERAPA BESAR?

2020 ◽  
Vol 1 (2) ◽  
pp. 70-83
Author(s):  
Lisa Marini ◽  
Novi Tri Putri
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Marital Status ◽  
Labor Force ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
Population Characteristics ◽  
Training Course ◽  
Labor Force Survey ◽  
The Family

The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey  (Sakernas), Unemployment.

scholarly journals Agripreneurship and Agricultural Labour Market: Agripreneurial Intentions among Undergraduate Students in Ondo State, NigeriaAgripreneurship and Agricultural Labour Market: Agripreneurial Intentions among Undergraduate Students in Ondo State, Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 76-85
Author(s):  
E. S. Ikuemonisan ◽  
A. E. Akinbola
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Labour Market ◽  
Undergraduate Students ◽  
Logistic Regression Analysis ◽  
Tertiary Institutions ◽  
Socioeconomic Characteristics ◽  
The Family ◽  
Ondo State ◽  
The Mean

This study examined agripreneurial intentions among students in the state-owned tertiary institutions in Ondo State. The study profiled students’ perceptions of learning (SPOL), teachers’ impact (SPOT), and mentorship and explored the effects of these on their agripreneurial intentions. Both descriptive and inferential statistics were used to analyze 120 students, who were randomly selected from the two state-owned tertiary institutions. A logistic regression analysis was performed to assess the effects of SPOL, SPOT, mentorship, as well as other socioeconomic characteristics, on students’ likelihood to have agripreneurial intentions. The study revealed that SPOL, SPOT & age significantly increased the likelihood of students having agripreneurial intentions, while perceptions of mentorship and the number of graduates in the family decreased it. Although the SPOL and SPOT were positive and statistically significant, the weak effects of the mean scores suggest that SPOL and SPOT should be improved upon to enhance students’ interest in agripreneurship.

scholarly journals Factors Associated with Treatment Outcome of Patients with Pulmonary Tuberculosis in the Philippines, 2015 to 2016

2020 ◽  
Vol 54 (5) ◽  
Author(s):  
Ian Oliver D. Macatangay ◽  
Sophia Anne S.P. Liao ◽  
Joshua Jason A. Dadural ◽  
Fatima Joy S. Gagui ◽  
Angelica Joy A. Galas ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Outcome ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
The Philippines ◽  
Sputum Smear ◽  
Cross Sectional ◽  
Factors Associated ◽  
Unsuccessful Treatment

Objective. The study aims to determine the factors associated with unsuccessful treatment outcome amongpatients who have undergone tuberculosis treatment. Methods. An analytic cross-sectional study was employed through secondary data analysis of administrativedata collected by the National Tuberculosis Control Program from October 2015 to September 2016. Usingmultiple logistic regression analysis, factors associated with unsuccessful treatment outcome were determined. Results. Multiple logistic regression analysis revealed that belonging to age groups 25 to 34 (aOR=0.73; 95%CI0.54-0.99) or 35 to 44 (aOR=0.75; 95%CI 0.56-0.99), being male (aOR=1.30; 95%CI 1.03-1.64), doing craftsand related trades work (aOR=0.66; 95%CI 0.46-0.94), living in either a 4th class city (aOR=0.46; 95%CI0.26-0.82), 1st class municipality (aOR=0.75; 95%CI 0.57-0.98), 4th class municipality (aOR=0.59; 95%CI0.38-0.93), having a positive sputum smear result (aOR=1.60; 95%CI 1.29-2.00), having rifampicin-resistant/multidrug-resistant tuberculosis (aOR=9.32; 95%CI 7.28-11.93), being a treatment after lost to follow-up case(aOR=1.84; 95%CI 1.37-2.47) or a case with previously unknown treatment outcome (aOR=1.42; 95%CI 1.00-2.01)were significant correlates of unsuccessful treatment outcome. Conclusion. The study found that age, sex, occupation, residence, sputum smear results, drug resistance, andhistory of previous treatment were associated with unsuccessful treatment outcome.

scholarly journals Personality traits neuroticism and openness as well as early abnormal eye conditions as predictors of the occurrence of eye problems in adulthood

2017 ◽  
Vol 4 (1) ◽  
pp. 205510291771620
Author(s):  
Helen Cheng ◽  
Adrian Furnham
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Class ◽  
Personality Traits ◽  
Cognitive Ability ◽  
Logistic Regression Analysis ◽  
Big Five ◽  
Medical Professionals ◽  
Eye Problems ◽  
Socio Demographic Factors

This study set out to examine the associations between psychological, biomedical and socio-demographic factors in childhood and adulthood associated with the occurrence of self-reported eye conditions in adulthood. In total, 5706 participants with complete data on parental social class at birth, cognitive ability accessed at age 11 years, abnormal eye conditions by the age of 16 years diagnosed by medical professionals, educational qualifications obtained at age 33 years, the Big Five Factor personality traits measured at age 50 years, current occupational levels and self-reported eye conditions at age 54 years were included in the study. Logistic regression analysis showed that among all the factors examined early abnormal eye conditions, traits neuroticism and openness as well as sex were the significant predictors of self-reported eye conditions in adulthood.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals Prior Admissions as a Risk Factor for Readmission in Patients Surgically Treated for Femur Fractures: Implications for a Potential Hip Fracture Bundle

2021 ◽  
Vol 12 ◽  
pp. 215145932199616
Author(s):  
Robert Erlichman ◽  
Nicholas Kolodychuk ◽  
Joseph N. Gabra ◽  
Harshitha Dudipala ◽  
Brook Maxhimer ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Logistic Regression Analysis ◽  
Hip Fractures ◽  
Surgical Procedure ◽  
Hospital Admissions ◽  
Fracture Care ◽  
Increased Risk ◽  
Payment Models

Introduction: Hip fractures are a significant economic burden to our healthcare system. As there have been efforts made to create an alternative payment model for hip fracture care, it will be imperative to risk-stratify reimbursement for these medically comorbid patients. We hypothesized that patients readmitted to the hospital within 90 days would be more likely to have a recent previous hospital admission, prior to their injury. Patients with a recent prior admission could therefore be considered higher risk for readmission and increased cost. Methods: A retrospective chart review identified 598 patients who underwent surgical fixation of a hip or femur fracture. Data on readmissions within 90 days of surgical procedure and previous admissions in the year prior to injury resulting in surgical procedure were collected. Logistic regression analysis was used to determine if recent prior admission had increased risk of 90-day readmission. A subgroup analysis of geriatric hip fractures and of readmitted patients were also performed. Results: Having a prior admission within one year was significantly associated (p < 0.0001) for 90-day readmission. Specifically, logistic regression analysis revealed that a prior admission was significantly associated with 90-day readmission with an odds ratio of 7.2 (95% CI: 4.8-10.9). Discussion: This patient population has a high rate of prior hospital admissions, and these prior admissions were predictive of 90-day readmission. Alternative payment models that include penalties for readmissions or fail to apply robust risk stratification may unjustly penalize hospital systems which care for more medically complex patients. Conclusions: Hip fracture patients with a recent prior admission to the hospital are at an increased risk for 90-day readmission. This information should be considered as alternative payment models are developed for hip fracture care.

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