Comment on: Factors Associated with Increased Pain in Primary Dysmenorrhea: Analysis Using a Multivariate Ordered Logistic Regression Model

Abstract Poor sperm morphology decrease sow litter size and the economic profitability of breeding herds. Our previous results revealed elements in serum and seminal plasma, such as copper, iron, and lead affects abnormal sperm rate (ABR) in boars. In this study, sperm morphology and elements in serum and seminal plasma of 385 boars were analyzed using CASA and ICP-MS, respectively from June to August in 2016. Multivariate ordered logistic regression model, which includes variables of boar breed, age, serum and seminal plasma elements was used to identify the influence degree of elements on ABR. The degree of ABR was classified grade 0: < 10%, grade 1: 10–20%, and grade 2: > 20%. Results showed ABR was influenced by boar breed, serum Cu and Fe, and seminal Pb contents (P < 0.0001). Yorkshire boars (OR: 0.321; CI: 0.187 to 0.551) and Landrace boars (OR: 0.224; CI: 0.135 to 0.371) had lower ABR than Duroc boars. Boars with serum Cu ≤2.0 mg/L had lower ABR than those with serum Cu ≥2.5 mg/L (OR: 0.483; CI: 0.281 to 0.830). ABR of boars with serum Fe ≤ 1.0mg/L was greater than that of boars with serum Fe 1.5 mg/L (OR: 2.213; CI: 1.188 to 4.120). In addition, boars with seminal plasma Pb 0 μg/L had lower ABR than those with seminal Pb ≥ 10 μg/L (OR: 0.362; CI: 0.174 to 0.757). In conclusion, Duroc boars had more risk of ABR compared with Yorkshire and Landrace boars. The decrease of seminal plasma Pb and serum Cu, and increased of serum Fe content can decrease ABR in boars.

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Factors Associated with Cesarean Section in Tehran, Iran using Multilevel Logistic Regression Model

Osong Public Health and Research Perspectives ◽

10.24171/j.phrp.2018.9.2.08 ◽

2018 ◽

Vol 9 (2) ◽

pp. 86-92 ◽

Cited By ~ 4

Author(s):

Payam Amini ◽

Maryam Mohammadi ◽

Reza Omani-Samani ◽

Amir Almasi-Hashiani ◽

Saman Maroufizadeh

Keyword(s):

Logistic Regression ◽

Cesarean Section ◽

Regression Model ◽

Logistic Regression Model ◽

Multilevel Logistic Regression ◽

Factors Associated ◽

Multilevel Logistic Regression Model

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294. Hepatitis C Virologic Response in Hepatitis B and C Coinfected Persons Treated with Directly Acting Antiviral Agents: Results from ERCHIVES

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz360.369 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S159-S160

Author(s):

Adeel A Butt ◽

Peng Yan ◽

Samia Aslam ◽

Kenneth Sherman ◽

Dawd Siraj ◽

...

Keyword(s):

Logistic Regression ◽

Hepatitis C ◽

Liver Fibrosis ◽

Hepatitis B ◽

Regression Model ◽

Logistic Regression Model ◽

Antiviral Agents ◽

Virologic Response ◽

Hbv Infection ◽

Factors Associated

Abstract Background There are scant data regarding hepatitis C (HCV) virologic response to directly acting antiviral agents (DAAs) in chronic hepatitis B (HBV) and HCV coinfected persons. HCV treatment response in those with spontaneously cleared HBV infection is unknown. Methods All HCV-infected persons treated with a DAA regimen in ERCHIVES were identified and categorized into HBV/HCV-coinfected (HBsAg, HBV DNA or both positive), HCV-monoinfected, and resolved HBV (isolated HBcAb+). SVR rates were determined and compared for all groups. A logistic regression model was used to determine factors associated with SVR. Results Among 115 HCV/HBV-coinfected, 38,570 HCV-monoinfected persons, and 13,096 persons with resolved HBV, 31.6% of HCV/HBV-coinfected, 24.6% of HCV-monoinfected and 26.4% with resolved HBV had cirrhosis at baseline. SVR was achieved in 90.4% of HCV/HBV-coinfected, 83.4% of HCV-monoinfected and 84.5% of those with resolved HBV infection (P = 0.04 HCV/HBV vs. HCV monoinfected). In a logistic regression model, those with HCV/HBV were more likely to achieve SVR compared with HCV monoinfected (OR 2.25, 95% CI 1.17, 4.31). For HCV/HBV coinfected, the SVR rates dropped numerically with increasing severity of liver fibrosis (P-value non-significant). Factors associated with a lower likelihood of attaining SVR included cirrhosis at baseline (OR 0.85, 95% CI 0.80, 0.92), diabetes (OR 0.93, 95% CI 0.87, 0.99) and higher pretreatment HCV RNA (OR 0.86, 95% CI 0.84, 0.87). Conclusion HBV/HCV-coinfected persons have higher overall SVR rates with newer DAA regimens. The virologic response is graded, with decreasing SVR rates with increasing degree of liver fibrosis as determined by the FIB-4 scores. Disclosures All authors: No reported disclosures.

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Binary Logistic Regression Model for Assessing Factors Associated with Nutritional Status of Children Under Five Years among Chepang Community in Siddi, Chitwan, Nepal

Nepalese Journal of Statistics ◽

10.3126/njs.v4i0.33451 ◽

2020 ◽

Vol 4 ◽

pp. 43-56

Author(s):

Ravi Kiran Poudel ◽

Shankar Prasad Khanal

Keyword(s):

Logistic Regression ◽

Nutritional Status ◽

Regression Model ◽

Logistic Regression Model ◽

Family Income ◽

Children Under Five ◽

Under Five ◽

Factors Associated ◽

Number Of Children ◽

Nutritional Status Of Children

Background: Chepang Community in Nepal has often been characterized as the poorest among Nepal’s poor, and has faced food insecurity at a household level each year. Health status of their children is poor compared to other community children and more so for the age group under the age of five years. Objective: To find the proportion of stunting, wasting and underweight, and to assess the most promising factors associated with the nutritional status of children under five years of Chepang community in Siddi, Chitwan, Nepal. Materials and Methods: A cross-sectional research design was used with 170 samples. To find the association of different factors with the nutritional status of children under 5 years of age (stunting, wasting and underweight, each) binary multiple logistic regression model was used and the goodness of fit of the model was assessed through Hosmer and Lemeshow test. Results: The overall proportion of children under five years of the Chepang community is 60.6%, 30.6% and 44.7% for underweight, stunting and wasting respectively. Among many factors, the mother’s illiteracy (OR: 5.30, 95 % CI: 1.37 to 21.57), external monthly family income (≤ NRs. 2000) (OR: 9.65, 95 % CI: 3.23 to 30.78) and food availability for six months from own land (OR: 4.17, 95 % CI: 1.90 to 17.98) have a significant association with underweight. Similarly, for stunting, female child (OR: 2.19, 95 % CI: 1.02 to 4.70), number of children (more than one) below 14 years at home (OR: 4.15, 95 % CI : 1.77 to 11.04) and external family income (≤ NRs. 2000) (OR: 4.42, 95% CI: 1.01 to 17.06) are significantly associated, and for wasting, a number of children (more than one) below 14 years at home (OR: 4.64, 95 % of CI: 1.71 to 12.60) and external family income (≤ NRs. 2000) (OR: 5.17, 95 % CI: 2.27 to 11.79) are significantly associated. Conclusion: Substantial numbers of children from Chepang community are having the problem of underweight, stunting and wasting. Different demographic and socio-economic variables have been found associated for odds of having low level of nutritional status of children.

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Assessment of the Quality of Antenatal Care Services and the Associated Risk Factors in Tanzania

10.21203/rs.3.rs-30567/v1 ◽

2020 ◽

Author(s):

Abdalla Hussein ◽

Jackline Mbishi

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Antenatal Care ◽

Regression Model ◽

Service Provision ◽

Logistic Regression Model ◽

Wealth Index ◽

Factors Associated ◽

Associated Risk Factors

Abstract Background This study gives the finding of the assessment made on the quality of antenatal care (ANC) services received by women in Tanzania during pregnancy and the associated risk factors. Methods We used the data from the 2015-16Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS). The sample included 6,924 women who gave birth in the five years before the survey and having at least one ANC visit in the most current pregnancy. The quality of ANC services provided was assessed using six questions on receipt of recommended components of ANC services. The responses of the individual components were summed up to generate the ANC service provision score. In so doing, the women who received all six components were considered to receive good quality ANC services. A weighted logistic regression model was employed in the examination of the factors associated with the quality of ANC services. Results The average service provision score was 4.4 out of a total of 6. Approximately, 31% of the women received good quality ANC services. The most provided ANC components were blood sample measurement (87%) and iron tablets/syrup (82.1%). The urine sample (60%) was the least offered ANC service. The results of the adjusted logistic regression model revealed that age, place of residence, education level, the time of the first ANC visit, number of ANC visits, and family wealth index were significant factors associated with the quality of ANC services. Conclusions In terms of service provision, the quality of ANC service in Tanzania is suboptimal. With differences by observed risk factors, there must be more efforts to strengthen the quality of ANC services and to remove the differences.

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A Predictive Ordered Logistic Regression Model as a Tool for Quality Review of Control Risk Assessments

Journal of Information Systems ◽

10.2308/isys-50808 ◽

2014 ◽

Vol 28 (2) ◽

pp. 209-229 ◽

Cited By ~ 24

Author(s):

Hussein Issa ◽

Alexander Kogan

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Risk Assessments ◽

Internal Auditors ◽

External Auditors ◽

Quality Review ◽

Audit Efficiency ◽

Ordered Logistic Regression ◽

Control Risk

ABSTRACT External auditors and management increasingly rely on control risk assessments conducted by internal auditors. Consequently, it is crucial to ensure the quality of such assessments and identify irregular instances that deviate from the normal pattern of assessments. Moreover, processing and prioritizing a large number of outlying internal auditors' assessments can help their superiors as well as external auditors overcome the human limitations of dealing with information overload and direct their investigations toward the more suspicious cases, consequently improving overall audit efficiency. In this paper, we use historic data consisting of control risk assessments procured from the internal audit department of a multinational consumer products company. It is used to infer an ordered logistic regression model to provide a quality review of internal auditors' and business owners' assessments of internal controls. We identify anomalous cases where the assessment does not conform to the expected value and develop a methodology to prioritize these outliers. The results indicate that the proposed model can serve as a quality review tool, thus improving audit efficiency, as well as a learning tool that non-experts can employ to gain expert-like knowledge. Additionally, the proposed ranking metrics proved effective in helping the auditors focus their efforts on the more problematic audits.

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