How to Assess Quantitatively Party-Level Committee Placements

This chapter explains methodological choices. It offers greater detail about how the dependent variable is coded. Because of the three-outcome variable (high policy, public goods, or distributive committee type), the discrete choice method of multinomial logistic (MNL) regression is used. It permits assessing the extent to which parties make tradeoffs across both committee types and models of party personnel (expertise and electoral–constituency). The chapter explains the reasons why MNL is preferable to binomial logistic regression by a comparison of results on one of the book’s party cases (the German Christian Democratic Union) under either regression format and calculates predicted probabilities for Bundestag committee placement using some of our independent variables. It also explains that some parties (those in Israel and Japan) do not make tradeoffs across committee types to the same degree as parties in our others cases, and are therefore analyzed with binomial logistic regression instead. An index of overlap of committee types on which individual members serve is developed and shown for all parties covered in the book.

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Is There an Association Between Metformin Exposure and Frailty?

Gerontology and Geriatric Medicine ◽

10.1177/2333721420924956 ◽

2020 ◽

Vol 6 ◽

pp. 233372142092495

Author(s):

Dhanya Baskaran ◽

Raquel Aparicio-Ugarriza ◽

Juliana Ferri-Guerra ◽

Raneem Milyani ◽

Hermes Florez ◽

...

Keyword(s):

Type 2 Diabetes ◽

Logistic Regression ◽

Lower Risk ◽

Frailty Index ◽

Community Dwelling ◽

Outcome Variable ◽

Deficit Accumulation ◽

Binomial Logistic Regression ◽

Multiple Variables

Frailty is a state of vulnerability to stressors resulting in higher morbidity, mortality, and utilization in older adults. Frailty and type 2 diabetes mellitus share similar pathophysiological mechanisms which metformin may target. The purpose of this study was to determine whether exposure to metformin is associated with frailty in veterans. This is a cross-sectional study of veterans 65 years and older with type 2 diabetes who were screened for frailty between January 2016 and August 2017. We constructed a 44-item Frailty Index including multiple variables using a deficit accumulation framework. After adjustment for covariates, the association was calculated using binomial logistic regression models with frailty status as the outcome variable, and metformin exposure as the independent variable. Patients were 98.3% male and 56.7% White with a mean age of 72.9 ( SD = 6.8) years. The proportion of robust, prefrail and frail patients was 2.9% ( n = 22), 46.7 % ( n = 356) and 50.5% ( n = 385), respectively. In binomial logistic regression, exposure to metformin was associated with lower risk for frailty, adjusted odds ratio (OR) = .55 (95% confidence interval [CI] = .39–.77), p ≤ .001. This study shows that exposure to metformin was associated with lower risk for frailty in community-dwelling veterans.

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Intimate Partner Violence and its Association With Contraceptive Use Among Women in Pakistan

Pakistan Journal of Psychological Research ◽

10.33824/pjpr.2019.34.1.9 ◽

2019 ◽

Vol 34 (Spring 2019) ◽

pp. 157-173

Author(s):

Kashif Siddique ◽

Rubeena Zakar ◽

Ra’ana Malik ◽

Naveeda Farhat ◽

Farah Deeba

Keyword(s):

Intimate Partner Violence ◽

Logistic Regression ◽

Partner Violence ◽

Contraceptive Use ◽

Binary Logistic Regression ◽

Intimate Partner ◽

Married Women ◽

Reproductive Age ◽

Outcome Variable ◽

Odds Ratios

The aim of this study is to find the association between Intimate Partner Violence (IPV) and contraceptive use among married women in Pakistan. The analysis was conducted by using cross sectional secondary data from every married women of reproductive age 15-49 years who responded to domestic violence module (N = 3687) of the 2012-13 Pakistan Demographic and Health Survey. The association between contraceptive use (outcome variable) and IPV was measured by calculating unadjusted odds ratios and adjusted odds ratios with 95% confidence intervals using simple binary logistic regression and multivariable binary logistic regression. The result showed that out of 3687 women, majority of women 2126 (57.7%) were using contraceptive in their marital relationship. Among total, 1154 (31.3%) women experienced emotional IPV, 1045 (28.3%) women experienced physical IPV and 1402 (38%) women experienced both physical and emotional IPV together respectively. All types of IPV was significantly associated with contraceptive use and women who reported emotional IPV (AOR 1.44; 95% CI 1.23, 1.67), physical IPV (AOR 1.41; 95% CI 1.20, 1.65) and both emotional and physical IPV together (AOR 1.49; 95% CI 1.24, 1.72) were more likely to use contraceptives respectively. The study revealed that women who were living in violent relationship were more likely to use contraceptive in Pakistan. Still there is a need for women reproductive health services and government should take initiatives to promote family planning services, awareness and access to contraceptive method options for women to reduce unintended or mistimed pregnancies that occurred in violent relationships.

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COVID-19-Related Changes in Perceived Household Food Waste in the United States: A Cross-Sectional Descriptive Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18031104 ◽

2021 ◽

Vol 18 (3) ◽

pp. 1104

Author(s):

Kelly Cosgrove ◽

Maricarmen Vizcaino ◽

Christopher Wharton

Keyword(s):

Logistic Regression ◽

Food Waste ◽

The United States ◽

Food Groups ◽

Related Factors ◽

Cross Sectional ◽

Household Level ◽

Binomial Logistic Regression ◽

Household Food ◽

Fresh Vegetables

Food waste contributes to adverse environmental and economic outcomes, and substantial food waste occurs at the household level in the US. This study explored perceived household food waste changes during the COVID-19 pandemic and related factors. A total of 946 survey responses from primary household food purchasers were analyzed. Demographic, COVID-19-related household change, and household food waste data were collected in October 2020. Wilcoxon signed-rank was used to assess differences in perceived food waste. A hierarchical binomial logistic regression analysis was conducted to examine whether COVID-19-related lifestyle disruptions and food-related behavior changes increased the likelihood of household food waste. A binomial logistic regression was conducted to explore the contribution of different food groups to the likelihood of increased food waste. Perceived food waste, assessed as the estimated percent of food wasted, decreased significantly during the pandemic (z = −7.47, p < 0.001). Food stockpiling was identified as a predictor of increased overall food waste during the pandemic, and wasting fresh vegetables and frozen foods increased the odds of increased food waste. The results indicate the need to provide education and resources related to food stockpiling and the management of specific food groups during periods of disruption to reduce food waste.

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Is Indoor Air Pollution From Different Fuel Types Associated With the Anemia Status of Pregnant Women in Ethiopia?

Journal of Primary Care & Community Health ◽

10.1177/21501327211034374 ◽

2021 ◽

Vol 12 ◽

pp. 215013272110343

Author(s):

Sewitemariam Desalegn Andarge ◽

Abriham Sheferaw Areba ◽

Robel Hussen Kabthymer ◽

Miheret Tesfu Legesse ◽

Girum Gebremeskel Kanno

Keyword(s):

Air Pollution ◽

Logistic Regression ◽

Pregnant Women ◽

Indoor Air ◽

Pregnancy Outcomes ◽

Indoor Air Pollution ◽

Adverse Pregnancy Outcomes ◽

Outcome Variable ◽

Multivariable Logistic Regression Analysis ◽

Adverse Pregnancy

Background Indoor air pollution from different fuel types has been linked with different adverse pregnancy outcomes. The study aimed to assess the link between indoor air pollution from different fuel types and anemia during pregnancy in Ethiopia. Method We have used the secondary data from the 2016 Ethiopian Demographic and Health Survey data. The anemia status of the pregnant women was the dichotomous outcome variable and the type of fuel used in the house was classified as high, medium, and low polluting fuels. Logistic regression was employed to determine the association between the exposure and outcome variables. Adjusted Odds Ratio was calculated at 95% Confidence Interval. Result The proportion of anemia in the low, medium, and high polluting fuel type users was 13.6%, 46%, 40.9% respectively. In the multivariable logistic regression analysis, the use of either kerosene or charcoal fuel types (AOR 4.6; 95% CI: 1.41-18.35) and being in the third trimester (AOR 1.72; 95% CI: 1.12-2.64) were significant factors associated with the anemia status of the pregnant women in Ethiopia. Conclusion According to our findings, the application of either kerosene or charcoal was associated with the anemia status during pregnancy in Ethiopia. An urgent intervention is needed to reduce the indoor air pollution that is associated with adverse pregnancy outcomes such as anemia.

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Predictors of Anxiety-Induced Sleep Disturbance among in-School Adolescents in Ghana: Evidence from the 2012 Global School-Based Health Survey

Behavioral Sciences ◽

10.3390/bs11020020 ◽

2021 ◽

Vol 11 (2) ◽

pp. 20 ◽

Cited By ~ 1

Author(s):

Bright Opoku Ahinkorah ◽

Richard Gyan Aboagye ◽

Francis Arthur-Holmes ◽

Abdul-Aziz Seidu ◽

James Boadu Frimpong ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Disturbance ◽

Emotional Disorders ◽

Health Survey ◽

Safety Concern ◽

Statistical Significance ◽

Outcome Variable ◽

Multivariable Logistic Regression Analysis ◽

School Based ◽

Multivariable Logistic Regression

(1) Background: Psychological problems of adolescents have become a global health and safety concern. Empirical evidence has shown that adolescents experience diverse mental health conditions (e.g., anxiety, depression, and emotional disorders). However, research on anxiety-induced sleep disturbance among in-school adolescents has received less attention, particularly in low- and middle-income countries. This study’s central focus was to examine factors associated with t anxiety-induced sleep disturbance among in-school adolescents in Ghana. (2) Methods: Analysis was performed using the 2012 Global School-based Health Survey (GSHS). A sample of 1342 in-school adolescents was included in the analysis. The outcome variable was anxiety-induced sleep disturbance reported during the past 12 months. Frequencies, percentages, chi-square, and multivariable logistic regression analyses were conducted. Results from the multivariable logistic regression analysis were presented as crude and adjusted odds ratios at 95% confidence intervals (CIs) and with a statistical significance declared at p < 0.05. (3) Results: Adolescents who went hungry were more likely to report anxiety-induced sleep disturbance compared to their counterparts who did not report hunger (aOR = 1.68, CI = 1.10, 2.57). The odds of anxiety-induced sleep disturbance were higher among adolescents who felt lonely compared to those that never felt lonely (aOR = 2.82, CI = 1.98, 4.01). Adolescents who had sustained injury were more likely to have anxiety-induced sleep disturbance (aOR = 1.49, CI = 1.03, 2.14) compared to those who had no injury. Compared to adolescents who never had suicidal ideations, those who reported experiencing suicidal ideations had higher odds of anxiety-induced sleep disturbance (aOR = 1.68, CI = 1.05, 2.71). (4) Conclusions: Anxiety-induced sleep disturbance among in-school adolescents were significantly influenced by the psychosocial determinants such as hunger, loneliness, injury, and suicidal ideation in this study. The findings can help design appropriate interventions through effective strategies (e.g., early school-based screening, cognitive-behavioral therapy, face-face counseling services) to reduce psychosocial problems among in-school adolescents in Ghana.

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Association between insulin resistance and left ventricular hypertrophy in asymptomatic, Black, sub-Saharan African, hypertensive patients: a case–control study

BMC Cardiovascular Disorders ◽

10.1186/s12872-020-01829-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bernard Kianu Phanzu ◽

Aliocha Nkodila Natuhoyila ◽

Eleuthère Kintoki Vita ◽

Jean-René M’Buyamba Kabangu ◽

Benjamin Longo-Mbenza

Keyword(s):

Insulin Resistance ◽

Logistic Regression ◽

Ventricular Hypertrophy ◽

Case Control Study ◽

Case Control ◽

Left Ventricular ◽

Hypertensive Patients ◽

Independent Variables ◽

Sub Saharan ◽

Control Study

Abstract Background Conflicting information exists regarding the association between insulin resistance (IR) and left ventricular hypertrophy (LVH). We described the associations between obesity, fasting insulinemia, homeostasis model assessment of insulin resistance (HOMA-IR), and LVH in Black patients with essential hypertension. Methods A case–control study was conducted at the Centre Médical de Kinshasa (CMK), the Democratic Republic of the Congo, between January and December 2019. Cases and controls were hypertensive patients with and without LVH, respectively. The relationships between obesity indices, physical inactivity, glucose metabolism and lipid disorder parameters, and LVH were assessed using linear and logistic regression analyses in simple and univariate exploratory analyses, respectively. When differences were observed between LVH and independent variables, the effects of potential confounders were studied through the use of multiple linear regression and in conditional logistic regression in multivariate analyses. The coefficients of determination (R2), adjusted odds ratios (aORs), and their 95% confidence intervals (95% CIs) were calculated to determine associations between LVH and the independent variables. Results Eighty-eight LVH cases (52 men) were compared against 132 controls (81 men). Variation in left ventricular mass (LVM) could be predicted by the following variables: age (19%), duration of hypertension (31.3%), body mass index (BMI, 44.4%), waist circumference (WC, 42.5%), glycemia (20%), insulinemia (44.8%), and HOMA-IR (43.7%). Hypertension duration, BMI, insulinemia, and HOMA-IR explained 68.3% of LVM variability in the multiple linear regression analysis. In the logistic regression model, obesity increased the risk of LVH by threefold [aOR 2.8; 95% CI (1.06–7.4); p = 0.038], and IR increased the risk of LVH by eightfold [aOR 8.4; 95 (3.7–15.7); p < 0.001]. Conclusion Obesity and IR appear to be the primary predictors of LVH in Black sub-Saharan African hypertensive patients. The comprehensive management of cardiovascular risk factors should be emphasized, with particular attention paid to obesity and IR. A prospective population-based study of Black sub-Saharan individuals that includes the use of serial imaging remains essential to better understand subclinical LV deterioration over time and to confirm the role played by IR in Black sub-Saharan individuals with hypertension.

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Sonographic Cervical Shortening after Labor Induction is a Predictor of Vaginal Delivery

Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics ◽

10.1055/s-0036-1597629 ◽

2016 ◽

Vol 38 (12) ◽

pp. 585-588 ◽

Cited By ~ 2

Author(s):

Ugo Indraccolo ◽

Gennaro Scutiero ◽

Pantaleo Greco

Keyword(s):

Logistic Regression ◽

Vaginal Delivery ◽

Regression Models ◽

Operating Characteristic ◽

Roc Curves ◽

Cervical Length ◽

Labor Induction ◽

Logistic Regression Models ◽

Independent Variables ◽

Sonographic Evaluation

Objective Analyzing if the sonographic evaluation of the cervix (cervical shortening) is a prognostic marker for vaginal delivery. Methods Women who underwent labor induction by using dinoprostone were enrolled. Before the induction and three hours after it, the cervical length was measured by ultrasonography to obtain the cervical shortening. The cervical shortening was introduced in logistic regression models among independent variables and for calculating receiver operating characteristic (ROC) curves. Results Each centimeter in the cervical shortening increases the odds of vaginal delivery in 24.4% within 6 hours; in 16.1% within 24 hours; and in 10.5% within 48 hours. The best predictions for vaginal delivery are achieved for births within 6 and 24 hours, while the cervical shortening poorly predicts vaginal delivery within 48 hours. Conclusion The greater the cervical shortening 3 hours after labor induction, the higher the likelihood of vaginal delivery within 6, 24 and 48 hours.

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Evaluating the role for renal biopsy in T1 and T2 renal masses: A single-centre study

Canadian Urological Association Journal ◽

10.5489/cuaj.4831 ◽

2018 ◽

Vol 12 (5) ◽

pp. E226-30 ◽

Cited By ~ 1

Author(s):

Dylan Hoare ◽

Howard Evans ◽

Heidi Richards ◽

Rahim Samji

Keyword(s):

Logistic Regression ◽

Adverse Events ◽

Diagnostic Accuracy ◽

Renal Biopsy ◽

Predictive Value ◽

Lesion Size ◽

Renal Masses ◽

Ct Guided ◽

Binomial Logistic Regression ◽

T1 And T2

Introduction: Once used primarily in the identification of renal metastasis and lymphomas, various urological bodies are now adopting an expanded role for the renal biopsy. We sought to evaluate the role of the renal biopsy in a Canadian context, focusing on associated adverse events, radiographic burden, and diagnostic accuracy.Methods: This retrospective review incorporated all patients undergoing ultrasound (US)/computed tomography (CT)-guided biopsies for T1 and T2 renal masses. There were no age or lesion size limitations. The primary outcome of interest was the correlation between initial biopsy and final surgical pathology. A binomial logistic regression analysis was conducted to determine any confounding factors. Secondary outcomes included the accuracy of tumour cell typing, grading, the safety profile, and radiographic burden associated with these patients.Results: A total of 148 patients satisfied inclusion criteria for this study. Mean age and lesions size at detection were 60.9 years (±12.4) and 3.6 cm (±2.0), respectively. Most renal masses were identified with US (52.7%) or CT (44.6%). Three patients (2.0%) experienced adverse events of note. Eighty-six patients (58.1%) proceeded to radical/partial nephrectomy. Our biopsies held a diagnostic accuracy of 90.7% (sensitivity 96.2%, specificity 87.5%, positive predictive value 98.7%, negative predictive value 70.0%, kappa 0.752, p<0.0005). Binomial logistic regression revealed that age, lesion size, number of radiographic tests, time to biopsy, and modality of biopsy (US/CT) had no influence on the diagnostic accuracy of biopsies.Conclusions: Renal biopsies are safe, feasible, and diagnostic. Their role should be expanded in the routine evaluation of T1 and T2 renal masses.

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Prediksi Not Operational Transaction Menggunakan Logistic Regression pada Bank XYZ di Kota Kupang

AITI ◽

10.24246/aiti.v17i1.42-55 ◽

2020 ◽

Vol 17 (1) ◽

pp. 42-55

Author(s):

Radius Tanone ◽

Arnold B Emmanuel

Keyword(s):

Machine Learning ◽

Logistic Regression ◽

Regression Method ◽

Learning Approach ◽

Know How ◽

Independent Variables ◽

Machine Learning Approach ◽

Logistic Regression Method ◽

Python Programming

Bank XYZ is one of the banks in Kupang City, East Nusa Tenggara Province which has several ATM machines and is placed in several merchant locations. The existing ATM machine is one of the goals of customers and non-customers in conducting transactions at the ATM machine. The placement of the ATM machines sometimes makes the machine not used optimally by the customer to transact, causing the disposal of machine resources and a condition called Not Operational Transaction (NOP). With the data consisting of several independent variables with numeric types, it is necessary to know how the classification of the dependent variable is NOP. Machine learning approach with Logistic Regression method is the solution in doing this classification. Some research steps are carried out by collecting data, analyzing using machine learning using python programming and writing reports. The results obtained with this machine learning approach is the resulting prediction value of 0.507 for its classification. This means that in the future XYZ Bank can classify NOP conditions based on the behavior of customers or non-customers in making transactions using Bank XYZ ATM machines.

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Predictors to HIV testing among youth women in Ethiopia: 2016 Ethiopian Demographic and Health Survey

10.21203/rs.2.9217/v1 ◽

2019 ◽

Author(s):

Gedefaw Diress ◽

Mohammed Ahmed ◽

Seteamlak Adane ◽

Melese Linger ◽

Birhan Aleminew

Keyword(s):

Logistic Regression ◽

Hiv Testing ◽

Health Survey ◽

Multivariate Logistic Regression Analysis ◽

Demographic And Health Survey ◽

Outcome Variable ◽

Hiv Knowledge ◽

Cross Sectional ◽

Infected People ◽

Treatment Cascade

Abstract Background HIV testing is the critical first step in identifying and linking HIV infected people to the treatment cascade and it also provides an important opportunity to reinforce HIV prevention among the negatives. The aim of this study was examine factors associated with HIV testing among youth women. Methods A community-based cross-sectional study design was used and a nationally representative secondary data analysis was done on the 2016 Ethiopian Demographic and Health Survey(EDHS). A total of 6401 youth women were eligible in the study. The data were analyzed by SPSS version 20. Frequencies and weighted percentage of the variables were calculated. Chi-square tests and logistic regression models were used to assess predictors of HIV testing. Multivariate logistic regression analysis was conducted to control confounders and to identify the independent contribution of each variable to the outcome variable. Result A total of 6401 youth women aged 15 to 24 years of age were included. Only 37.7% (95% CI:(33.6-39.1%)) of participants were ever tested for HIV in their life. In the final multivariable model age, marital status, level of educational, media access, number of sexual partner, STIs in Past 12 months and comprehensive knowledge to HIV, were significantly associated with ever been tested for HIV. Youth women who were in the age group between 20 to 24 (AOR=2.18; 95CI:(1.800-2.652), who were married (AOR=4.70; 95% CI:(3.674-6.008)), were divorced (AOR=6.16; 95% CI (3.976-9.541)), who had no access to media (AOR = 0.69; 95 CI %: (0.540-0.870)), who had no comprehensive HIV knowledge (AOR = 0.68; 65% CI: (0.530-0.861)) and having one or more sexual partners (AOR=2.48; 95% CI:(1.350-4.551)) were significantly associated with ever been tested for HIV.

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