scholarly journals THE SCHOOL ENROLLMENT OF CHILDREN IN THE PLANTATION SECTOR IN INDONESIA

2017 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
NFN Ngadi
Keyword(s):  
Logistic Regression ◽  
Influencing Factor ◽  
School Enrollment ◽  
Enrollment Rate ◽  
Logistic Regression Models ◽  
Primary Schooling ◽  
Working Children ◽  
Heads Of Household ◽  
The Government

This paper aims to analyze the determinants of school enrollment of children age 10–15 whose parents are working in plantation sector, Indonesia. The data for the analysis is obtained from the 2013 National Socioeconomic Survey conducted by Badan Pusat Statistik, Indonesia. The data covers 20,311 children at age 10–15 in the plantation sector. The analysis is carried out using the descriptive and logistic regression models. The result shows that the enrollment rate for children age 10–15 in the plantation sector was high at 93.7 percent. Meanwhile, the logistic regression analysis shows that the economic activity of children (working or not working) was the most influencing factor on the educational enrollment. Working children had 0,085 times less chance to enroll in education than children who do not work. This finding is compounded by the fact that many heads of household only complete primary schooling. That makes it difficult for working children to enroll in schooling. Therefore, the government should improve the quality of education so that the educational benefit will be greater than the forgone earnings. In addition, it is important to increase the household income in order to prevent children from working.

Physician Perceptions on Quality of Life and Resuscitation Preferences for Extremely Early Newborns

2021 ◽  
Author(s):  
Danielle LoRe ◽  
Christopher Mattson ◽  
Dalia M. Feltman ◽  
Jessica T. Fry ◽  
Kathleen G. Brennan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Models ◽  
Mixed Effects ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Comfort Care ◽  
Logistic Regression Models ◽  
Extremely Preterm

Objective The study aimed to explore physician views on whether extremely early newborns will have an acceptable quality of life (QOL), and if these views are associated with physician resuscitation preferences. Study Design We performed a cross-sectional survey of neonatologists and maternal fetal medicine (MFM) attendings, fellows, and residents at four U.S. medical centers exploring physician views on future QOL of extremely early newborns and physician resuscitation preferences. Mixed-effects logistic regression models examined association of perceived QOL and resuscitation preferences when adjusting for specialty, level of training, gender, and experience with ex-premature infants. Results A total of 254 of 544 (47%) physicians were responded. A minority of physicians had interacted with surviving extremely early newborns when they were ≥3 years old (23% of physicians in pediatrics/neonatology and 6% in obstetrics/MFM). The majority of physicians did not believe an extremely early newborn would have an acceptable QOL at the earliest gestational ages (11% at 22 and 23% at 23 weeks). The majority of physicians (73%) believed that having an extremely preterm infant would have negative effects on the family's QOL. Mixed-effects logistic regression models (odds ratio [OR], 95% confidence interval [CI]) revealed that physicians who believed infants would have an acceptable QOL were less likely to offer comfort care only at 22 (OR: 0.19, 95% CI: 0.05–0.65, p < 0.01) and 23 weeks (OR: 0.24, 95% CI: 0.07–0.78, p < 0.02). They were also more likely to offer active treatment only at 24 weeks (OR: 9.66, 95% CI: 2.56–38.87, p < 0.01) and 25 weeks (OR: 19.51, 95% CI: 3.33–126.72, p < 0.01). Conclusion Physician views of extremely early newborns' future QOL correlated with self-reported resuscitation preferences. Residents and obstetric physicians reported more pessimistic views on QOL. Key Points

scholarly journals Analysis of Consumers’ Preference for Local Rice among Households in Ekiti State, Nigeria

2020 ◽  
pp. 18-23
Author(s):  
G. T. Ajayi ◽  
A. Ajiboye
Keyword(s):  
Logistic Regression ◽  
Control Policy ◽  
Structured Interview ◽  
Sampling Procedure ◽  
Primary Data ◽  
Multi Stage ◽  
Good Taste ◽  
The Mean ◽  
The Government

Consumers’ preference for local rice determines its demand. Therefore, the study was carried out to analyze consumers’ preference for local rice among households in Ekiti State. A multi-stage sampling procedure was used to select respondents for this study. A total of 240 women were randomly selected from three Local Government Areas (LGAs) in the State. Primary data were obtained with the use of a well-structured interview schedule. Data collected were analyzed using descriptive statistics as well as inferential statistic like logistic regression. The mean age of the respondents was 38 years and more than half (53.3%) of the respondents were females. Most (70.0%) of the respondents had a mean family size of 7 persons. Most (87.0%) preferred local rice and factors influencing consumers’ preference for local rice include good nutritional value, quality of rice and good taste. Local rice was very much preferred by the respondents. Logistic regression shows that significant influence exists between price, taste, availability of rice and presence of particles and preferred choice of rice. Therefore, efforts should be made by the government to formulate price control policy on local rice for its affordability by the consumers and there should be improvement on processing technology of local rice to eliminate presence of particles for improved quality and good taste to enhance the consumers’ preference for choice of rice. Also, the government should support farmers through provision of incentives and credit facilities so as to produce more local rice for its availability all year round.

Discrete Primary Education Curriculum in Bangladesh

2022 ◽  
pp. 716-730
Author(s):  
Md Jahangir Alam ◽  
Sheikh Rashid Bin Islam ◽  
Keiichi Ogawa
Keyword(s):  
Primary Education ◽  
School Facilities ◽  
Education Curriculum ◽  
Primary Schooling ◽  
Educational Curriculum ◽  
Study Materials ◽  
The Government ◽  
Materials Used ◽  
Type Of School

The curriculum is an essential and integral part of the education system for lifelong learning and better children's outcomes. The sum of experience throughout their schooling journey can be defined as an educational curriculum expressed in a much broader sense. The school's type of school, study materials used, teaching methods, available school facilities, and the qualifications of schoolteachers provided at the end of primary schooling often diverge with different educational curricula due to the government policy dilemma. There is no unified primary education curriculum in Bangladesh's case. More than three mainstream educational curricula can be founded, each with its own unique set of traits, benefits, and shortcomings. This chapter explores what factors affect a school's choice, which is linked with the educational curriculum being offered, and how it affects the student's quality of education. This chapter also explores gamification theory's implementation to ensure quality primary education in Bangladesh.

scholarly journals Women Attribute and Household Level Factor on Women's Empowerment

2021 ◽  
Vol 36 (2) ◽  
pp. 181
Author(s):  
Neneng Miskiyah ◽  
Sari Lestari Z Ridho ◽  
Hadi Jauhari ◽  
Keti Purnamasari
Keyword(s):  
Logistic Regression ◽  
Policy Implication ◽  
Work Experience ◽  
Binary Logistic Regression ◽  
Women's Empowerment ◽  
Women’S Empowerment ◽  
Household Level ◽  
The Government ◽  
Coaching Women

<p>Empowerment is an important strategy in increasing the role and opportunities of women in improving their economy and is an effort to increase and actualize their potential so that they are more able to be independent and work, and are more appreciated. This study aims to analyze the probability of empowering women in the songket craft business, testing and analyzing the variable women attribute and household level factor on women's empowerment . Tests are carried out using binary logistic regression .  The results showed that the variables of age, education, and work experience had a significant effect on women's empowerment. The policy implication of the results of this study is that there needs to be more serious attention and involvement from the  government and other institutions in coaching women songket craftsmen, and improving the quality of women through various activities to empower them through songket business activities.</p>

scholarly journals Discrepancy Between Perceived Diet Quality and Actual Diet Quality Among US Adult Cancer Survivors (OR14-05-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Hong Xue ◽  
Jin Liu
Keyword(s):  
Logistic Regression ◽  
Cancer Survivors ◽  
Diet Quality ◽  
Regression Models ◽  
Vegetable Intake ◽  
Multinomial Logistic Regression ◽  
Calorie Intake ◽  
Fruit Intake ◽  
Logistic Regression Models

Abstract Objectives Postdiagnosis diet and food choices are essential for survivorship management. However, diet quality of cancer survivors is generally low. This study aimed to examine he temporal trends of diet quality of cancer survivors, assess the discrepancy between perceived diet quality and actual diet quality among cancer survivors, and its impact on their actual diet quality. Methods The National Health and Nutrition Examination Survey (NHANES) data 2005 -2014 were used in this study. Logistic regression models were fit to examine the influence of misperception of eating healthiness on diet quality measured by healthy eating index (HEI). Multinomial logistic regression models were fit to examine the factors that may influence the likelihood of diet quality misperception. Results Between 2005 and 2014, there was an increasing trend in HEI in cancer survivors, with a small but significant increase of 0.7 per year. Non-Hispanic white survivors had a consistent higher total HEI score compared to other race/ethnic groups during this period. There were 11.66%, 29.67% and 38.02% cancer survivors who rated their overall diet quality as excellent, very good, or good, while 16.96% and 3.69% perceived their overall diet as fair and poor respectively. Kappa statistic indicated a low agreement between the self-perceived diet quality and the actual diet quality measured by HEI among cancer survivors (0.06, 95% CI: 0.02, 0.09). with adjustment of age, gender, race/ethnicity, and SES status, over-rate misperception was associated with a 5.39 lower total HEI score P < 0.0001), 1.00 lower HEI score of empty calorie intake (P = 0.0028), 0.15 lower score of vegetable intake (P = 0.108) and 0.29 lower score of fruit intake. On the other hand, under-rate misperception was associated with a 7.12 higher total HEI score P < 0.0001), 2.57 higher HEI score of empty calorie intake (P < 0.0001), 0.02 higher score of vegetable intake (P = 0.904) and 0.84 higher score of fruit intake (P = 0.001). Multinomial logistic regression suggested that higher income was also associated with higher odds of being an over-rater. Individuals with college education or above were more likely to over-rate their diet quality compared to those with high school or under education (OR: 1.32, 95% CI: 1.005 1.732). Moreover, Hispanics were more likely than Non-Hispanic Whites to over-rate their diet quality ( OR: 1.792, 95% CI: 1.062, 3.024). Conclusions The divergence between self-assessed eating health and the HEI measured diet quality was an important factor that may have influenced cancer survivors’ diet behavior and diet quality. Funding Sources NA.

scholarly journals Ordinal logistic regression models: application in quality of life studies

2008 ◽  
Vol 24 (suppl 4) ◽  
pp. s581-s591 ◽  
Author(s):  
Mery Natali Silva Abreu ◽  
Arminda Lucia Siqueira ◽  
Clareci Silva Cardoso ◽  
Waleska Teixeira Caiaffa
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Models ◽  
Goodness Of Fit ◽  
Ordinal Logistic Regression ◽  
Proportional Odds Model ◽  
Outcome Variable ◽  
Proportional Odds ◽  
Logistic Regression Models

Quality of life has been increasingly emphasized in public health research in recent years. Typically, the results of quality of life are measured by means of ordinal scales. In these situations, specific statistical methods are necessary because procedures such as either dichotomization or misinformation on the distribution of the outcome variable may complicate the inferential process. Ordinal logistic regression models are appropriate in many of these situations. This article presents a review of the proportional odds model, partial proportional odds model, continuation ratio model, and stereotype model. The fit, statistical inference, and comparisons between models are illustrated with data from a study on quality of life in 273 patients with schizophrenia. All tested models showed good fit, but the proportional odds or partial proportional odds models proved to be the best choice due to the nature of the data and ease of interpretation of the results. Ordinal logistic models perform differently depending on categorization of outcome, adequacy in relation to assumptions, goodness-of-fit, and parsimony.

scholarly journals Factors Influencing Social Inequality and Quality of Life in Community-Based Tourism Thailand

2020 ◽  
pp. 553-559
Author(s):  
Akkhaporn Kokkhangplu ◽  
Kanokkarn Kaewnuch
Keyword(s):  
Quality Of Life ◽  
Public Administration ◽  
Influencing Factor ◽  
Community Based ◽  
Factors Affecting ◽  
Factors Influencing ◽  
The Government ◽  
Complete Data Analysis ◽  
External Actors

This research aimed to investigate factors affecting the quality of life (QOL) among people involved in community-based tourism (CBT). Data were collected based on the populations residing in the tourism-community areas in each region of Thailand totaling 200 subjects to complete data analysis using multiple regression analysis. The result found that factors influencing the QOL in CBT are found in various elements of Thailand. Furthermore, the main priority is public administration that is considered the most influencing factor concerning QOL among people in CBT followed by economic factors, technological and external actors, in ranked order. The implication of this study was to motivate the community to obtain QOL because managing public administration requires the government to integrate strategic planning and implement policies to resolve the existing inequality in communities. Additionally, the government’s administrative structure in each area would be improved and made more appropriate in the context of the area in each community. Economic aspects in the community comprise creating work, increasing income for people and accessing several funding sources. In the technology section, public and private sectors are considered possessing the capability to establish technological access for the community. The aspect of external actors must be managed through regulations and laws created by the community generating awareness for community members including regulations and compliance to achieve sustainable QOL in the community.

Financial toxicity, financial well-being, and quality of life among bladder cancer patients.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 133-133
Author(s):  
Reginald Tucker-Seeley ◽  
Weizhou Tang ◽  
Leora Steinberg ◽  
Stephanie Banks ◽  
Hilma Bolton ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bladder Cancer ◽  
Logistic Regression ◽  
Financial Burden ◽  
Well Being ◽  
Demographic Characteristics ◽  
Financial Toxicity ◽  
Logistic Regression Models ◽  
Long Course

133 Background: Due to a long course of surveillance, and for some patients, multimodal therapy with chemotherapy and surgery, bladder cancer (BC) can present a financial burden to the household. Yet, there are several terms used to describe this burden such as financial hardship and financial toxicity (FT); and it is unclear whether different measures of financial circumstances are correlated and whether they are associated with quality of life (QOL). The goal of this study was to determine whether FT and financial well-being (FWB) were correlated and to determine whether FT and FWB were similarly associated with QOL among BC patients. Methods: Patients that had BC treatment in the last 2 years were recruited from two NCI designated cancer centers for our study (N = 100). The Comprehensive Score for Financial Toxicity (COST) was used to assess FT, the Consumer Financial Protection Bureau’s (CFPB) FWB measure was used to assess FWB, and a BC-specific Functional Assessment of Cancer Therapy (FACT) questionnaire was used to assess physical, social, emotional, and functional domains of QOL. Bivariate analyses were conducted to determine the association among FT, FWB, and QOL; and separate logistic regression analyses predicting FT and FWB were used to determine the association between FT and FWB and each domain of QOL. Results: Bivariate results showed that FT and FWB were highly negatively correlated (r = -.76; p < .0001); however, only FWB was correlated with the total QOL score (p < .05). FT was correlated with physical (p < .01), emotional (p < .05), and functional (p < .05) QOL; and FWB was correlated with physical (p < .05) and functional (p < .05) QOL. Logistic regression models adjusted for socioeconomic and demographic characteristics showed that those reporting higher physical QOL (OR = 1.18; CI: 1.04-1.35) and higher functional QOL (OR = 1. 15; CI: 1.03-1.28) had higher odds of reporting high FWB. Conclusions: Given the surveillance and treatment processes for BC patients, it is important to better understand their financial circumstances as they are navigating and managing care. Our results suggest that physical and functional QOL is relevant for predicting FWB, but after considering socioeconomic and demographic characteristics, no domain of QOL was a significant predictor of FT among BC patients.

scholarly journals Marketability Probability Study of Cherry Tomato Cultivars Based on Logistic Regression Models

Agronomy ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. 176 ◽  
Author(s):  
Manuel Díaz-Pérez ◽  
Ángel Carreño-Ortega ◽  
Marta Gómez-Galán ◽  
Ángel-Jesús Callejón-Ferre
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Categorical Variables ◽  
Ripe Fruit ◽  
Storage Test ◽  
Logistic Regression Models ◽  
Solanum Lycopersicum L ◽  
Fruit Cracking ◽  
Tomato Cultivars

The purpose of this study was to demonstrate interest in applying simple and multiple logistic regression analyses to the marketability probability of commercial tomato (Solanum lycopersicum L.) cultivars when the tomatoes are harvested as loose fruit. A fruit’s firmness and commercial quality (softening or over-ripe fruit, cracking, cold damage, and rotting) were determined at 0, 7, 14, and 21 days of storage. The storage test simulated typical conditions from harvest to purchase-consumption by the consumer. The combined simple and multiple analyses of the primary continuous and categorical variables with the greatest influence on the commercial quality of postharvest fruit allowed for a more detailed understanding of the behavior of different tomato cultivars and identified the cultivars with greater marketability probability. The odds ratios allowed us to determine the increase or decrease in the marketability probability when we substituted one cultivar with a reference one. Thus, for example, the marketability probability was approximately 2.59 times greater for ‘Santyplum’ than for ‘Angelle’. Overall, of the studied cultivars, ‘Santyplum’, followed by ‘Dolchettini’, showed greater marketability probability than ‘Angelle’ and ‘Genio’. In conclusion, the logistic regression model is useful for studying and identifying tomato cultivars with good postharvest marketability characteristics.

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