scholarly journals Determinants of abortion among youth 15–24 in Ethiopia: A multilevel analysis based on EDHS 2016

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248228
Author(s):  
Girma Gilano ◽  
Samuel Hailegebreal
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Individual Level ◽  
Access Problem ◽  
Younger Age ◽  
Youth Population ◽  
Policy Direction

Introduction Determinants of the magnitude of abortion among women of diverse social and economic status, particularly in Africa poorly understood because of the missing information in most countries. In this study, we addressed abortion and its determinants among youth women of 15–24 ages to provide clear direction for policymaking in Ethiopia. Methods We examined the 2016 Ethiopian demographic health survey data downloaded from the EDHS website after obtaining permission on abortion among 15–24 age women. We applied bivariate and multilevel binary logistic regression. Community and Individual level abortion predictors passed through a three-level binary logistic regression analysis where we used p-value <0.05 and adjusted odds ratios (AOR) with 95% confidence intervals (CI). Result The abortion among the youth population in this study was 2.5%. Factors associated with pregnancy were age group 20–24 2.5(1.6–3.8), youth with one birth 0.65(0.44–0.96), youth with 2–5 births 0.31(0.18–0.55), age ≥18 0.50(0.33–0.76), married 38(17–84), divorced 20(7–55), birth in the last five years 0.65(0.44–0.96), middle wealth youth 1.7(1.0.4–2.8), being in Amhara0.31(0.11–0.85), and 0.30(0.12–0.77). Conclusion Less abortion occurred in economically poor youths. It is a noble finding; however, the access problem might lead to the result. We observed more abortions in age <18years; those have not given birth until the data collection date. It portrays forth clear policy direction for politicians and all other stakeholders to intervene in the problem. The analysis also showed abortion increased with age. It shows that as age increased, youths disclose abortion which is rare at an early age, and again given an essential clue for the next interventions. The fact in this study is both age and marriage affected abortion similarly. It might be because of various culture-related perceptions where it is not appropriate for an unmarried woman to appear with any pregnancy outcome as the reason behind the decreased number of abortions at a younger age. Thus, more attention is required during implementation for unmarried and lower age youth regardless of the magnitude of the abortion.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT

2020 ◽  
Vol 14 (2) ◽  
pp. 181-192
Author(s):  
Amelia Amelia ◽  
Fitra Mulyani ◽  
Ulya Nabilla
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
The Status ◽  
Rice Consumption ◽  
The Government

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

scholarly journals Inappropriate Use of Antibiotics and Their Predictors in Pediatric Patients Admitted at the Hospital Central De Nampula, Mozambique

2021 ◽  
Author(s):  
Sancho Pedro Xavier ◽  
Audêncio Victor ◽  
Graciano Cumaquela ◽  
Melsequisete Daniel Vasco ◽  
Osiyallê Rodrigues ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pediatric Patients ◽  
Treatment Time ◽  
Binary Logistic Regression ◽  
Antibiotic Use ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Duration Of Treatment ◽  
Cross Sectional ◽  
Inappropriate Use

Abstract Background Antibiotics are synthetic or natural substances used to treat diseases of infectious origin. When used incorrectly, they can be a factor in the development of antimicrobial resistance, increased treatment time, costs, and mortality. The present study aimed to assess the pattern inappropriate use of antibiotics and their predictors in pediatric patients admitted to the Hospital Central de Nampula, Mozambique Methods A cross-sectional, retrospective study with a quantitative approach was conducted between January and July 2019. The population consisted of children aged 0 to 10 years hospitalized in the pediatric ward I. Binary logistic regression was used to determine risk factors for inappropriate use of antibiotics with 95% CI. Results The prevalence of antibiotic use among pediatric patients was 97.5%. Of the 464 antibiotics prescribed, 39.9% were for patients suffering from gastroenteritis, 21.8% and 9.1% Affected with pneumonia and malaria. Most antibiotics were for systemic use (95.9%, 445/464). Most (36.5%) of prescriptions had errors. Duration of treatment (74.6%) and dosage (25.4%) were the most frequent errors. Binary logistic regression analysis revealed that patients were prescribed with ≥ 3 antibiotics (OR = 2.920, 95% CI = 1.283–6.646, p–value = 0.011) and with a short hospitalization time (OR = 1.726, 95% CI = 1.040–2.864, p–value = 0.035) were more likely to experience some inappropriate use of antibiotics. Conclusion The study showed a higher prevalence of antibiotic use, however, a greater number of prescriptions contained errors. Errors related to dose and duration of treatment were the most common among pediatric patients. These results reveal a concern, since inappropriate and excessive use of antibiotics is a major factor for the development of antibiotic resistant microorganisms. Therefore, strategies concerning the use of antibiotics in order to reduce their inappropriate and excessive use are necessary.

scholarly journals Novel Coronavirus (COVID-19) health awareness among the United Arab Emirates Population

2020 ◽  
Author(s):  
Balsam Qubais ◽  
Iffat Elbarazi ◽  
Mai Barakat
Keyword(s):  
Logistic Regression ◽  
United Arab Emirates ◽  
Online Survey ◽  
Binary Logistic Regression ◽  
Well Being ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
College Level ◽  
Correct Score ◽  
Level Of Knowledge

ABSTRACT Background: In response to the global (COVID-19) epidemic, the United Arab Emirates (UAE) government is taking precautionary action to mitigate the spread of the virus and protect the safety and well-being of citizens, residents, and visitors. The knowledge and practices of individuals will probably have an important bearing on the course of the coronavirus disease 2019 pandemic. The aim of this study was to evaluate the knowledge and practices toward COVID-19 among the general public in the UAE during the current outbreak COVID-19. Methods: A cross-sectional online survey of 1356 of respondents in the UAE we conducted during the epidemic outbreak between 9th to 24th June-2020. The questionnaire consisted of three sections: Socio-demographic, participants knowledge, and participants practices. Independent- samples t-test, one-way analysis of variance (ANOVA), chi-square, and binary logistic regression have used. A p-value of (p < 0.05) was considered statistically significant. Results: Of the total sample, 72% were females, 47% % were aged between 30-49 years, 57.2% were from Sharjah, 65.6% had a college degree, and 40.6% were unemployed. The total correct score of knowledge and practices questions was high 85% and 90%, respectively. Males gender, other marital status, and illiterate/primary educational levels had a lower level of knowledge and practices than others. participants aged 18-29 had little higher knowledge than other ages but had a lower level in practices, people who live in Abu Dhabi had better knowledge and practice than other emirates, employed people had a lower level of knowledge but higher in practice. Binary logistic regression analysis presented that females, 18-29 years, and married participants significantly associated with a higher score of knowledge, while female gender, over 30 years old, the martial status of singles, college-level and higher, unemployed, were significantly associated with high mean practice score. Conclusions: To our knowledge, the current study is one of the first studies to evaluate the knowledge and practices of UAE population toward COVID-19. Most of the respondents demonstrate an excellent level of knowledge and awareness as well as proper conscious practices. Continuing to implement the health education programs pursued by the UAE is highly important to maintain the appropriate level of awareness among the public.

scholarly journals COVID-19 health awareness among the United Arab Emirates population

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0255408
Author(s):  
Balsam Qubais Saeed ◽  
Iffat Elbarazi ◽  
Mai Barakat ◽  
Ahmed Omer Adrees ◽  
Kubais Saeed Fahady
Keyword(s):  
Logistic Regression ◽  
United Arab Emirates ◽  
Online Survey ◽  
Binary Logistic Regression ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
College Level ◽  
Cross Sectional ◽  
Correct Score ◽  
Level Of Knowledge

In response to the global COVID-19 epidemic, the United Arab Emirates (UAE) government is taking precautionary action to mitigate the spread of the virus. The aim of this study was to evaluate the knowledge and practices toward COVID-19 among the general public in the UAE during the current outbreak. A cross-sectional online survey of 1356 respondents in the UAE was conducted during the epidemic outbreak between 9th to 24th June-2020. The questionnaire consisted of three sections: Socio-demographic, knowledge, practices. Independent-samples t-test, one-way analysis of variance (ANOVA), chi-square and binary logistic regression was used. A p-value of (p < 0.05) was considered statistically significant. The total correct score of knowledge and practice questions was high 85% and 90%, respectively. Male’s sex, other marital status, and illiterate/primary educational levels had a lower level of knowledge and practices than others. Participants aged 18–29 had little higher knowledge than other ages but had a lower level in practices, people who live in Abu Dhabi had better knowledge and practices than other emirates, employed people had a lower level of knowledge but higher in practices. Binary logistic regression analysis presented that females, 18–29 years, and married participants significantly associated with a higher score of knowledge, while female, over 30 years old, the martial status of singles, college-level and higher, unemployed, were significantly associated with high mean practices score. This study provided a full screening of the knowledge and practices among a sample of residents in The UAE toward COVID-19, continuing to implement the health education programs pursued by the UAE is highly important to maintain the appropriate level of awareness among the public.

scholarly journals Prevalence and Associated Factors of Self-Treatment among the Elderly—A Comparative Study between Empty and Non-Empty Nesters in Shandong, China

2020 ◽  
Vol 17 (21) ◽  
pp. 7880
Author(s):  
Zhaorong Gao ◽  
Lingzhong Xu ◽  
Wenzhe Qin ◽  
Jiao Zhang ◽  
Jinling Zhou ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Logistic Regression ◽  
Associated Factors ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Study Data ◽  
Binary Logistic Regression Analysis ◽  
Cluster Sampling ◽  
Targeted Interventions

(1) Objectives: With an aging society in China, self-treatment now plays an important role in health care among older adults, but it can be problematic. This study aims to explore and compare the self-treatment behavior among empty and non-empty nesters. (2) Methods: Using a multi-stage stratified random cluster sampling method, a total of 4366 elderly people aged 60 and above from Shandong Province, China, were enrolled in this study. Data were collected through a structured questionnaire. Binary logistic regression was used to analyze the associated factors of self-treatment. (3) Results: The prevalence of self-treatment in empty nesters was significantly lower than that in non-empty ones (74.0% vs. 83.3%). Binary logistic regression analysis showed that higher educational level and poorer self-rated economic status were negatively associated with self-treatment in empty nesters, while unemployed and urban and rural residents’ basic medical insurance were positively associated with self-treatment in non-empty ones. (4) Conclusions: The study indicated that empty nesters had lower likelihood of self-treatment than non-empty ones. Empty nesters with better socioeconomic status were more likely to use self-treatment; by contrast, non-empty nesters with relatively poorer socioeconomic status were more inclined to self-treatment. Targeted interventions should be developed to maximize the effectiveness of self-treatment and reduce health risks.

scholarly journals Effect of COVID-19 Vaccination on Seizures in Patients With Epilepsy: a Multicenter, Retrospective Study

2021 ◽  
Author(s):  
Xiqin Fang ◽  
Shan Qiao ◽  
Ranran Zhang ◽  
Tingting Yang ◽  
Zhihao Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Statistical Significance ◽  
Univariate Analysis ◽  
Binary Logistic Regression ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Patients With Epilepsy ◽  
Vaccination Period

Abstract Background: Previous study have shown that seizures may occur as a result of vaccination. This study aimed to evaluate the risk and correlative factors of seizures in patients with epilepsy (PWE) after being vaccinated with COVID-19 and to provide reference opinions for PWE to receive COVID-19 vaccine.Methods: We retrospectively enrolled PWE patients who were vaccinated against COVID-19 in the epilepsy centers of nine hospitals in China. The binary logistic regression analysis included variables with a P-value less than 0.1 in the univariate analysis.Results: The study included 290 patients, of which 40 (13.8%) developed seizures within 14 days after vaccination, whereas 250 (86.2%) remained seizure-free. The binary logistic regression analysis revealed statistical significance in seizures within three months before vaccination (P<0.001, OR=10.121, 95% CI: 4.301-23.816) and withdrawal or reduction of anti-seizures medications (ASM) during the peri-vaccination period (P=0.027, OR=4.452, 95% CI: 1.182-16.768). In addition, 32 of 33 patients (97.0%) who were seizure-free within three months before vaccination and had normal EEG results before vaccination did not have any seizures within 14 days following vaccination.Conclusions: SARS-CoV-2 may induce epilepsy through an inflammatory cascade. It is recommended to provide the COVID-19 vaccine to seizure-free patients for at least three months before vaccination, and the vaccination is safer if EEG result is normal. During peri-vaccination period, all PWE should be prohibited from reducing ASM dosage. PWE with well-controlled seizures who have discontinued ASM might consider resuming ASM during the peri-vaccination period if their EEG results are aberrant.

scholarly journals The Association between Obesity and Severity of Dengue Hemorrhagic Fever in Children at Wangaya General Hospital

2019 ◽  
Vol 7 (15) ◽  
pp. 2444-2446
Author(s):  
Bella Kurnia ◽  
I Wayan Bikin Suryawan
Keyword(s):  
Logistic Regression ◽  
Dengue Virus ◽  
General Hospital ◽  
Dengue Hemorrhagic Fever ◽  
Febrile Illness ◽  
Dengue Shock Syndrome ◽  
Binary Logistic Regression ◽  
Hemorrhagic Fever ◽  
P Value ◽  
Binary Logistic Regression Analysis

BACKGROUND: Dengue is a mosquito-borne disease caused by any one of four closely related Dengue virus (DENV 1-4). The clinical sign Dengue virus infection can vary from mild (mild febrile illness), Dengue Fever (DF), Dengue Hemorrhagic Fever (DHF) to Dengue Hemorrhagic Fever with shock (Dengue Shock Syndrome, DSS). AIM: This study was designed to determine the relationship of obesity with the severity of Dengue Hemorrhagic Fever in children. METHODS: It is a case-control study. The data of patients were retrospectively collected from the Department of Child Health at the Wangaya General Hospital between March 2019 to May 2019. It uses consecutive sampling. The total sample of 22 children with DHF with shock and 22 children with DHF without shock were investigated. Statistical analysis has been performed by SPSS Statistics 20.0 for Mac (IBM Corp., Armonk, New York, USA). DHF positive results were compared by the Chi-square test and binary logistic regression. RESULTS: Prevalence of DHF with shock is fifty per cent's and DHF without shock is 50%. Prevalence of obesity is 40.9%. The result of binary logistic regression analysis of obesity in children and the severity of DHF was significantly correlated with P-value 0.004 and OR = 7.734. CONCLUSION: Obesity is associated with the severity of Dengue Hemorrhagic fever in children.

scholarly journals The Role of Inflammatory Factors in the Covid-19 Disease

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Fesharaki MJ ◽  
◽  
Eslami V ◽  
Sandgol G ◽  
Gharaei B ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Statistical Significance ◽  
Binary Logistic Regression ◽  
Inflammatory Factors ◽  
P Value ◽  
Binary Logistic Regression Analysis ◽  
Significant Difference ◽  
Severe Group

Late in 2019 a new pandemic was caused by a novel coronavirus which was later named as Covid-19 by WHO. Regarding the unknown behavior of the disease finding some predicting factors was important so it could be possible to curb the mortality and morbidity risk of the disease. Later studies showed the important role of inflammatory factors in the process of the disease. In this retrospective, multicenter study, 1199 adult patients were randomly selected. Patients were divided to three main groups: Severe/Moderate, ICU add/Non- ICU add and Expired/Alive. The clinical data (including heart rate, respiratory rate, systolic blood pressure and diastolic blood pressure) and the laboratory findings (including NLR, PLR, D-dimer, Troponin, and CRP) of their first date of admission were studied from their documents. The mean of each factor was compared within each group and the binary logistic regression was done for each factor. ROC curves were drawn separately based on the results of the binary logistic regression analysis (P-value<0.05). Out of 1199 patients, 908 were in the severe group, 143 were ICU added and 144 were expired. Age and clinical factors were significantly higher (P-value=0.000) in the severe, ICU add, and expired groups. All the inflammatory factors were significantly higher in the severe group (P-value=0.000), were higher among ICU add patients with statistical significance of CRP, NLR, and PLR (P-value = 0.000, 0.000 and 0.001 respectively), and were higher in the expired group with the statistically significant difference in CRP, Troponin, NLR, and PLR (P-value=0.000).

PREVALENCE OF CHILD MARRIAGE AMONG BANGLADESHI WOMEN AND TREND OF CHANGE OVER TIME

2015 ◽  
Vol 48 (4) ◽  
pp. 530-538 ◽  
Author(s):  
Md. Golam Hossain ◽  
Rashidul Alam Mahumud ◽  
Aik Saw
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Rural Areas ◽  
Economic Status ◽  
Binary Logistic Regression ◽  
Child Marriage ◽  
Binary Logistic Regression Analysis ◽  
Data Sets ◽  
First Marriage

SummaryMany Bangladeshi women marry early, and many marry before the legal age of 18 years. This practice has been associated with a higher risk of health and medical morbidities, and also early pregnancy with higher pre- and postnatal complications. The aim of this study was to determine the prevalence, and factors associated with, child marriage among Bangladeshi women using multiple binary logistic regression analysis of data from the BDHS-2011. Further analysis on the trend of age at first marriage was performed with additional data sets from previous surveys. The mean and median of ages at first marriage of Bangladeshi women in 2011 were 15.69±2.97 and 15.00 years, respectively. A remarkably high percentage (78.2%) married before the age of 18; of these, 5.5% married at a very early age (before 13 years of age). Binary logistic regression analysis demonstrated that uneducated women were more likely to be married early (p<0.001) than those with secondary and higher education. Child marriage was especially pronounced among women with uneducated husbands, Muslims, those with poor economic backgrounds and those living in rural areas. Further analysis including data from previous BDHS surveys showed that child marriage among Bangladeshi women had a decreasing trend from 1993–94 to 2011. These results show that child marriage was very common in Bangladesh, and closely associated with low level of education and low economic status. The decreasing trend in child marriage indicates an improvement over the past two decades but more effort is needed to further reduce and eventually eliminate the practice.

Right-to-Left Shunt and the Clinical Features of Migraine with Aura: Earlier but Not More

2019 ◽  
Vol 47 (5-6) ◽  
pp. 268-274 ◽  
Author(s):  
Claudia Altamura ◽  
Matteo Paolucci ◽  
Carmelina Maria Costa ◽  
Nicoletta Brunelli ◽  
Angelo Cascio Rizzo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Family History ◽  
Clinical Features ◽  
Migraine With Aura ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Onset Age ◽  
Chi Square ◽  
Younger Age ◽  
Headache Center

Background: The causal relationship between patent foramen ovale (PFO) and migraine with aura (MA) is controversial. We aimed at exploring whether attack clinical features relate to the presence of right-to-left shunt (RLS) in MA patients. Methods: We retrospectively examined a cohort of consecutive patients diagnosed with MA in our headache center and undergoing transcranial doppler (TCD) for RLS detection. We collected from our clinical electronic dossiers, clinical features of MA attacks (type, frequency, duration of aura phenomenon, trigger factors, onset age), family history for MA, thrombophilia genotypes, and the response to preventive treatments. RLS was stratified for severity according to the results of the TCD examination. Results: We found 111 patients. Binary logistic regression analysis showed that among features of MA attacks, only onset age was associated with the presence of RLS (p < 0.0001). Patients with RLS presented the first MA attack at a younger age (p < 0.0001). The greater RLS severity, the younger was onset age (p < 0.00001) and the presence of atrial septal aneurysms (ASA) was associated with a further decrease in onset age (ρ = –539, p < 0.00001). Family history for MA was associated with the presence of RLS (chi-square p = 0.022). Response to preventive treatments was not influenced by the type of treatment (antiplatelet compared with no antiplatelet drugs), comorbidity with migraine without aura, RLS presence, or by their double interactions (Logistic regression, consistently p > 0.05). Conclusion: Our findings support the hypothesis that although PFO does not influence MA attack frequency, it is not merely a bystander in MA physiopathology, as RLS, its severity, and the presence of ASA possibly make a difference in the disease history.

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