Factors Impacting Sumatran Private Medical Students Inclination to Work In Rural Areas

At present the progress of Indonesia's health currently has significant problems with the unequal distribution of doctors in rural areas; doctors are only concentrated in urban areas. The environment and policies at private universities have a big influence on the educational process, which causes the low interest of private medical students to work in rural areas. Getting the right results on the pattern of interest in private medical students to work in rural areas will ultimately help policymakers to resolve differences in the distribution of doctors in Indonesia. This quantitative analytical study was conducted at 12 private medical faculties on the island of Sumatra, Indonesia. The total sample obtained was 446 active private medical students in 2016 from a total population of 5,106 students. Data were collected by questionnaire and analyzed using software namely SPSS. From the results of the binary logistic regression analysis, there are four dominant factors of private students that affect the interest in working in rural areas. Then a multivariate logistic regression analysis using the enter method was conducted that the tendency of medical students to work in rural areas was 58% for private universities. By using patterns and student acceptance variables, it is expected to increase the interest of private medical students working in rural areas, and ultimately be able to distribute doctors equally in Indonesia.

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Prevalence of oral potentially malignant disorders associated with habits in Puducherry

Brazilian Journal of Oral Sciences ◽

10.20396/bjos.v19i0.8658223 ◽

2020 ◽

Vol 19 ◽

pp. e201684

Author(s):

Swetha Paulose ◽

Vishwanath Rangdhol ◽

Lakshminarayanan Kavya ◽

Govindasamy Ezhumalai

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Rural Areas ◽

Multivariate Logistic Regression Analysis ◽

Betel Quid ◽

Multivariate Logistic Regression ◽

Potentially Malignant ◽

Urban And Rural Areas

Tobacco and betel quid are the most common cause of oral cancer in India. Very often oral cancers are preceded by a visible oral precursor lesion called as potentially malignant disorder (PMD). Aim: The aim of this study was to assess the prevalence of oral PMDs associated with habits in urban and rural areas of Puducherry Union territory, India. Methods: A cross-sectional descriptive study in urban and rural areas of Puducherry was conducted. The study group comprised of 450 patients with positive history of oral habits. A standard structured questionnaire was designed to record information about demographic details, socioeconomic status, type, duration and frequency of habits followed by clinical oral examination by single trained and calibrated examiner to detect the presence of PMD. Statistical analysis used: EpiData software (version 3.1). Descriptive statistics were presented for all variables. Pearson’s Chi-Square test and adjusted odds ratio (ORs) with 95% confidence interval (CI) were calculated to estimate the suspected risk factors for PMD by using multivariate logistic regression analysis. P-value of ≤ 0.05 was considered to be statistically significant. Results: Prevalence of habit associated oral PMD was 64.2%. Females were more prone to develop PMDs (68.3%) as compared to males (62.8%). PMD was more common in the age group of 51-60 years (69.2%). Smoking with alcohol consumption was the most common oral habit. Habits, socio-economic status and diet were significantly associated with development of oral PMDs in our study population. Multivariate logistic regression analysis showed that chronic betel quid chewing and smoking were significant risk factors for PMD. Increased frequency of vegetable consumption reduced the risk of PMD. Conclusions: Oral PMD were observed in more than half of the subjects with oral habits in Puducherry. Clearly, there is an increased risk of PMD with increased duration of tobacco and betel quid use in this region. Patients and public need to be educated regarding PMD and encouraged to quit habits so as to prevent high risk population from developing cancer.

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Diabetes is associated with familial idiopathic normal pressure hydrocephalus: a case–control comparison with family members

Fluids and Barriers of the CNS ◽

10.1186/s12987-020-00217-0 ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Joel Räsänen ◽

Joel Huovinen ◽

Ville E. Korhonen ◽

Antti Junkkari ◽

Sami Kastinen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Normal Pressure Hydrocephalus ◽

Familial Aggregation ◽

Multivariate Logistic Regression Analysis ◽

Normal Pressure ◽

Idiopathic Normal Pressure Hydrocephalus ◽

Cardiac Insufficiency ◽

Binary Logistic Regression Analysis

Abstract Background The pathophysiological basis of idiopathic normal pressure hydrocephalus (iNPH) is still unclear. Previous studies have shown a familial aggregation and a potential heritability when it comes to iNPH. Our aim was to conduct a novel case-controlled comparison between familial iNPH (fNPH) patients and their elderly relatives, involving multiple different families. Methods Questionnaires and phone interviews were used for collecting the data and categorising the iNPH patients into the familial (fNPH) and the sporadic groups. Identical questionnaires were sent to the relatives of the potential fNPH patients. Venous blood samples were collected for genetic studies. The disease histories of the probable fNPH patients (n = 60) were compared with their ≥ 60-year-old relatives with no iNPH (n = 49). A modified Charlson Comorbidity Index (CCI) was used to measure the overall disease burden. Fisher’s exact test (two-tailed), the Mann–Whitney U test (two-tailed) and a multivariate binary logistic regression analysis were used to perform the statistical analyses. Results Diabetes (32% vs. 14%, p = 0.043), arterial hypertension (65.0% vs. 43%, p = 0.033), cardiac insufficiency (16% vs. 2%, p = 0.020) and depressive symptoms (32% vs. 8%, p = 0.004) were overrepresented among the probable fNPH patients compared to their non-iNPH relatives. In the age-adjusted multivariate logistic regression analysis, diabetes remained independently associated with fNPH (OR = 3.8, 95% CI 1.1–12.9, p = 0.030). Conclusions Diabetes is associated with fNPH and a possible risk factor for fNPH. Diabetes could contribute to the pathogenesis of iNPH/fNPH, which motivates to further prospective and gene-environmental studies to decipher the disease modelling of iNPH/fNPH.

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

Journal of Biosocial Science ◽

10.1017/s0021932015000279 ◽

2015 ◽

Vol 48 (4) ◽

pp. 530-538 ◽

Cited By ~ 16

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.

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Depressive and Anxiety Symptoms Are Predictors of Seizure Recurrence in Adults With Newly Diagnosed Epilepsy

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.784737 ◽

2021 ◽

Vol 12 ◽

Author(s):

Rui Zhong ◽

Qingling Chen ◽

Xinyue Zhang ◽

Nan Li ◽

Weihong Lin

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Psychiatric Symptoms ◽

Multivariate Logistic Regression Analysis ◽

Anxiety Symptoms ◽

Binary Logistic Regression Analysis ◽

Newly Diagnosed ◽

Seizure Recurrence ◽

Increased Risk

Objective: To investigate whether emerging depressive and anxiety symptoms are predictors of seizure recurrence in a cohort of patients with newly diagnosed epilepsy (PWNDE) who did not have a history of psychiatric diagnosis.Methods: A cohort of 283 PWNDE were psychiatrically assessed before antiseizure medication (ASM) therapy and were followed for 12 months to assess seizure recurrence. The influence of depressive and anxiety symptoms score on seizure recurrence was assessed using univariate and multivariate binary logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was utilized.Results: A total of 283 individuals were included in final analysis, and 115 patients (40.6%) experienced seizure recurrence during follow-up. In multivariate logistic regression analysis, NDDI-E and GAD-7 score were associated with an increased risk of seizure recurrence with an adjusted OR of 1.360 (CI: 1.176–1.572; P < 0.001) and 1.101 (CI: 1.004–1.209; P = 0.041), respectively. Additionally, the adjusted OR and 95% CI of seizure recurrence for the “high NDDI-E score and high GAD-7 score” vs. “not high NDDI-E score and not high GAD-7 score” was 7.059 (3.521–14.149) (P for trend < 0.001).Conclusion: We found that an emergence of new psychiatric symptoms including depressive and anxiety symptoms were predictors of seizure recurrence in adults with newly diagnosed epilepsy who did not have psychiatric history.

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

Jurnal Penelitian Kebidanan & Kespro ◽

10.36656/jpk2r.v2i1.178 ◽

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).

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

JA Clinical Reports ◽

10.1186/s40981-020-00403-x ◽

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.

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Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

Burns & Trauma ◽

10.1093/burnst/tkaa037 ◽

2020 ◽

Vol 8 ◽

Author(s):

Chen Dong ◽

Minhui Zhu ◽

Luguang Huang ◽

Wei Liu ◽

Hengxin Liu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Treatment Failure ◽

Logistic Regression Analysis ◽

Disease Duration ◽

Multivariate Logistic Regression Analysis ◽

Tissue Expansion ◽

Multivariate Logistic Regression ◽

Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p < 0.001), larger volume of expander (200–400 ml vs <200 ml; OR, 1.74; p = 0.032; >400 ml vs <200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of <1 year, expander volume of >200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

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Predicting Burn Mortality Using a Simple Novel Prediction Model

Indian Journal of Plastic Surgery ◽

10.1055/s-0040-1721867 ◽

2021 ◽

Author(s):

Sneha Sharma ◽

Raman Tandon

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Prediction Model ◽

Receiver Operating Characteristic ◽

Logistic Regression Analysis ◽

Operating Characteristic ◽

Binary Logistic Regression ◽

Apache Ii ◽

Apache Ii Score ◽

Binary Logistic Regression Analysis

Abstract Background Prediction of outcome for burn patients allows appropriate allocation of resources and prognostication. There is a paucity of simple to use burn-specific mortality prediction models which consider both endogenous and exogenous factors. Our objective was to create such a model. Methods A prospective observational study was performed on consecutive eligible consenting burns patients. Demographic data, total burn surface area (TBSA), results of complete blood count, kidney function test, and arterial blood gas analysis were collected. The quantitative variables were compared using the unpaired student t-test/nonparametric Mann Whitney U-test. Qualitative variables were compared using the ⊠2-test/Fischer exact test. Binary logistic regression analysis was done and a logit score was derived and simplified. The discrimination of these models was tested using the receiver operating characteristic curve; calibration was checked using the Hosmer—Lemeshow goodness of fit statistic, and the probability of death calculated. Validation was done using the bootstrapping technique in 5,000 samples. A p-value of <0.05 was considered significant. Results On univariate analysis TBSA (p <0.001) and Acute Physiology and Chronic Health Evaluation II (APACHE II) score (p = 0.004) were found to be independent predictors of mortality. TBSA (odds ratio [OR] 1.094, 95% confidence interval [CI] 1.037–1.155, p = 0.001) and APACHE II (OR 1.166, 95% CI 1.034–1.313, p = 0.012) retained significance on binary logistic regression analysis. The prediction model devised performed well (area under the receiver operating characteristic 0.778, 95% CI 0.681–0.875). Conclusion The prediction of mortality can be done accurately at the bedside using TBSA and APACHE II score.

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Cross-Sectional Examination of Homocysteine Levels with Sarcopenia and Its Components in Memory Clinic Outpatients

Journal of Alzheimer s Disease ◽

10.3233/jad-210083 ◽

2021 ◽

pp. 1-10

Author(s):

Yosuke Yamada ◽

Hiroyuki Umegaki ◽

Fumie Kinoshita ◽

Chi Hsien Huang ◽

Taiki Sugimoto ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Cognitive Function ◽

Linear Regression ◽

Logistic Regression Analysis ◽

Linear Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Memory Clinic ◽

Cross Sectional

Background: Homocysteine is a common risk factor for cognitive impairment and sarcopenia. However, very few studies have shown an association between sarcopenia and serum homocysteine levels after adjustment for cognitive function. Objective: The purpose of this study was to investigate the relationship between homocysteine and sarcopenia in memory clinic patients. Methods: This cross-sectional study investigated outpatients in a memory clinic. We enrolled 1,774 participants (≥65 years old) with measured skeletal muscle mass index (SMI), hand grip strength (HGS), and homocysteine. All participants had undergone cognitive assessments and were diagnosed with dementia, mild cognitive impairment, or normal cognition. Patient characteristics were compared according to sarcopenia presence, SMI level, or HGS. Multivariate logistic regression analysis was performed to determine the association of homocysteine with sarcopenia, low SMI, or low HGS. Next, linear regression analysis was performed using HGS as a continuous variable. Results: Logistic regression analysis showed that low HGS was significantly associated with homocysteine levels (p = 0.002), but sarcopenia and low SMI were not. In linear regression analysis, HGS was negatively associated with homocysteine levels after adjustment for Mini-Mental State Examination score (β= –2.790, p < 0.001) or clinical diagnosis of dementia (β= –3.145, p < 0.001). These results were similar for men and women. Conclusion: Our results showed a negative association between homocysteine and HGS after adjustment for cognitive function. Our findings strengthen the assumed association between homocysteine and HGS. Further research is needed to determine whether lower homocysteine levels lead to prevent muscle weakness.

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