Socio economic conditions of Tribal women in forest area with predictive analysis through binary logistic regression analysis

GIS Business ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 350-360
Author(s):  
Dr Pacha Malyadri
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Economic Status ◽  
Land Ownership ◽  
Forest Area ◽  
Predictive Analysis ◽  
Tribal People ◽  
Socio Economic Status ◽  
Tribal Women

Tribal people are remaining in middle of backward regions, forest areas and mountains and confronting numerous issues because of absence of access to quality medicinal services, monetary help and transportation system. The main aim of this study is to examine   the socio economic status of tribal women  and  analyze  income and expenditure pattern of tribal  women  .In this regard three villages in forest areas of Khammam district had been selected and primary data had been collected from 120 tribal women. The logistic regression analysis had been conducted to know the factors influencing tribal people to access bank loans by tribal people. The major finding of this study is that tribal women with land ownership can improve their socio economic status.. It is found from the predictive analysis that socio economic profile of tribal women can be improved with more enhancement of land ownership. The education facilities and healthcare facilities are not considered by the logistic model for accessing the bank loan by tribal women. The standard of living conditions of tribal women in forest area can be enhanced through entrepreneurship rather than providing employment opportunities.

scholarly journals Dermatological manifestations and medico-social correlates among intellectually disabled students in Central India

2019 ◽  
Vol 10 (5) ◽  
pp. 27-32
Author(s):  
Harshal Gupta ◽  
Vishal Agrawal
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Social Factors ◽  
Multinomial Logistic Regression ◽  
Economic Status ◽  
Central India ◽  
Social Correlates ◽  
Multinomial Logistic Regression Analysis ◽  
Socio Economic Status

Background: People with intellectual disabilities (PwID) are particularly more vulnerable to dermatological manifestations due to their associated disabilities and hygiene negligence. Aims and Objective: To estimate the prevalence and pattern of skin diseases considering various medico-social correlates among PwID in two districts of Central India. To apply multinomial logistic regression analysis to examine the medico-social factors associated with no, one and more than one dermatological manifestations. Materials and Methods: A total of 204 PwID receiving rehabilitation services under a NGO serving two districts were examined for dermatological manifestations and various medico-social factors were studied. Descriptive analysis like chi-square and multinomial logistic regression analysis (MLR) was performed. Results: We found that 87.25% of study participants had one or more dermatological manifestations {infectious (64.7%) and non-infectious (84.3%)}. Among the various medico-social variables studied, socio-economic status, education of parents and associated co-morbidities were independently associated with increase in frequency of skin disorders. MLR analysis showed that Illiteracy of parents, lower socio-economic status and associated co-morbidities in PwID had higher odds of developing one and more than one dermatological manifestations when compared to literate and high income families and PwID with no associated co-morbidities. Conclusion: This study delineates the importance of additional attempts to be made by dermatologist while dealing with PwID while considering carefully their associated co-morbidities and various social factors. Strict hygiene measures, periodic skin examination and health education of persons caring for students with disabilities are recommended.

scholarly journals Determinants of Self-Reported Illness: An Experience from Social Health Insurance Program in Nepal

2020 ◽  
Vol 3 (3) ◽  
pp. 1-22
Author(s):  
Deepak Raj Paudel
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Health Insurance ◽  
Logistic Regression Analysis ◽  
Economic Status ◽  
Social Health Insurance ◽  
Social Health ◽  
Insurance Program ◽  
Health Insurance Program ◽  
Household Members

Even though the ultimate goal of social health insurance program is to increase the utilization of health services and reduce the health care expenditure, individuals in developing countries generally do not visit a healthcare provider or spend on healthcare unless they perceive themselves as ill.  Thus, the determinants of such illness reporting could have practical significance in a setting, where the social health insurance program was first being implemented in Nepal. Philosophically, this study follows a post-positivism or empiricism research paradigm. The ontological assumption of this study is a singular reality and regarding the epistemological assumption, this study considers an objective reality, a deductive method of quantitative inquiry. A cross-sectional survey was performed among 6480 individuals from 1048 households located in 26 wards of Kailali district after twenty-one months of the implementation of health insurance program in Nepal. The sample was selected in two stages, first being the selection of wards and second being the households. Data analyses were mainly based on chi-square test and logistic regression analysis. The study revealed that out of total 6480 surveyed individuals, 1590 (24.5%) individuals reported illness and the most commonly self-reported illness was cold/cough/fever in the month prior to the survey. The logistic regression analysis revealed that a number of socioeconomic factors such as health insurance coverage, gender, education level, economic status and employment status are significant predictors of illness reporting. Being insured, household members were more likely to report illness compared to their counterparts (Odds ratio= 1.40, 95% Confidence Interval=1.24-1.59). Females were more likely to report illness compared to males. Members with secondary level of education were significantly less likely to have illnesses than the members with no formal education. Household members from higher household economic status and employed were significantly less likely to have an illness. The findings from this study could inform policy in the ongoing national health insurance debate in Nepal and elsewhere. Since individuals having health insurance are more likely to report illness compared to uninsured, there is need to expand the health insurance program thought the country. Despite some methodological constraints, this study delivers new information on the occurrences of self-reported illnesses among the Nepalese population. This can help policy makers to formulate proper interventions to protect the poor from the financial burden associated with poor-health.

scholarly journals Pengaruh Tanihub terhadap Minat Generasi Y Bertani dalam Penguatan Ketahanan Pangan

2021 ◽  
Vol 5 (4) ◽  
pp. 1136-1145
Author(s):  
Vina Nisa ◽  
◽  
Palupi Samputra
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Food Security ◽  
Logistic Regression Analysis ◽  
Generation Y ◽  
Land Ownership ◽  
Ordinal Logistic Regression ◽  
Agricultural Products ◽  
Market Place ◽  
Ordinal Logistic Regression Analysis

Tanihub is a market place that specifically sells agricultural products. the aim is to break the distribution chain so that consumers can buy food at low prices and farmers still get huge profits. Currently access and market networks are the main problems faced by the majority of farmers in Indonesia in selling agricultural products. Narrow marketing knowledge and low innovation towards modern agriculture have caused farming to be unprofitable. As a result, farmers live in poverty and farming is increasingly abandoned by the younger generation. this if left in the long run will be a threat to food security. Because in the future food is predicted to have a dual role as a source of food and energy raw materials. The purpose of this study was to analyze how the influence of Wages, Land Ownership, Prestige and Tanihub on the interest of generation Y farming in strengthening food security. The sample in this study were 94 members of HMI branch Ciputat. The analysis used in this study is descriptive statistics and ordinal logistic regression analysis. The results of the study revealed that as many as 54 people were interested in developing digital-based agriculture. The results of ordinal logistic regression analysis are known that Tanihub, Prestige and Land Ownership have a significant effect on the interest in farming. Whereas wages do not have a significant effect on the interest of generation Y farming.

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.

scholarly journals Effects of School Violence on Depression and Suicidal Ideation in Multicultural Adolescents

2019 ◽  
Author(s):  
Eunmi LEE
Keyword(s):  
Academic Achievement ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Suicidal Ideation ◽  
School Violence ◽  
Risk Behavior ◽  
Logistic Regression Analysis ◽  
Economic Status ◽  
City Size ◽  
Web Based

Abstract Background: This study investigated how experiencing school violence affects depression and suicidal ideation in multicultural adolescents. Methods: Overall, 63444 adolescents from grades 7–12 (ages 12–18 yr) who participated in the 11th Korea Youth Risk Behavior Web-based Survey (KYRBS-Ⅺ) were enrolled from Jun 1 to Jun 30, 2015. Adolescents with at least one parent of non-Korean nationality were classified as multicultural adolescents. A logistic regression analysis of depression and suicidal ideation on the experience of violence was conducted with age, gender, city size, academic achievement, economic status, and level of stress as control variables. Results: Multicultural adolescents were found to have low grades, low economic status, come from smaller cities, and experience more school violence and stress compared to non-multicultural adolescents. Multicultural adolescents who experienced school violence were 5.41 times (95% CI 3.22, 9.11) more likely to be depressed than those who did not experience violence, whereas, non-multicultural adolescents were 3.75 times (95% CI 3.34, 4.20) more likely to be depressed. The effect of school violence on suicidal ideation was also stronger for multicultural adolescents. Multicultural adolescents who experienced school violence were 7.78 times (95% CI 4.34, 13.96) more likely to have suicidal ideation than those who did not experience violence, while non-multicultural adolescents were 4.17 times (95% CI 3.64, 4.78) more likely to have suicidal ideation. Conclusion: Adolescents who experience school violence more frequently showed a higher risk for depression and suicidal ideation, and the effect of school violence on depression and suicidal ideation was relatively stronger in multicultural adolescents.

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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