scholarly journals Personal and social shame among the recipients of charity food aid in Finland

2017 ◽  
Vol 10 (1) ◽  
pp. 73-85
Author(s):  
Tuomo Laihiala ◽  
Johanna Kallio ◽  
Maria Ohisalo
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Descriptive Statistics ◽  
Food Aid ◽  
Entire Family ◽  
Highly Educated ◽  
Frequent Use ◽  
The Family

In this article, we focus on shame among the recipients of charity food aid in Finland. We are interested in whether shame is explained by sociodemographic factors, frequent use of food aid or the persons for whom the charity food is obtained. Our analysis is based on survey data collected in 2012–2013 (N = 3474). Shame is measured using two indicators that are related to social and personal shame. Descriptive statistics and binary logistic regression are utilised. Nearly three of four respondents do not perceive receiving food aid as humiliating or socially harmful. Feelings of social shame are more common when charity food aid is needed to support an entire family rather than an individual recipient, and feelings of personal shame are more common when there are two or more children in the family. The highly educated, the elderly and those with the most insufficient perceived incomes are more socially and personally ashamed than others are. Women receiving charity food aid consider it more socially shameful than men do.

scholarly journals Factors associated with mobility of the oldest old

2017 ◽  
Vol 30 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Vanessa Ribeiro dos Santos ◽  
Diego Giulliano Destro Christofaro ◽  
Igor Conterato Gomes ◽  
Ismael Forte Freitas Júnior ◽  
Luís Alberto Gobbo
Keyword(s):  
Logistic Regression ◽  
Oldest Old ◽  
Multiple Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Elderly Persons ◽  
Functional Dependencies ◽  
Significance Level ◽  
Limited Mobility

Abstract Introduction: Several factors can be associated to the reduction of mobility among the elderly. Early identification of these factors is crucial, since it may lead to prevention of functional dependencies. Objective: To analyze the association between mobility, sociodemographic factors and the prevalence of noncommunicable chronic diseases (NCDs) in oldest old. Methods: The sample consisted of 120 elderly persons aged (80 and 95 years), with 76 of them being women (83 ± 3 years) and 44 of them men (83 ± 3 years). Sociodemographic factors and NCDs which we studied were: age, gender, marital status, education, nutritional status, ethnicity, hypertension, diabetes and osteoarticular diseases. Mobility was analyzed using a battery of Physical Performance Tests. For statistical analysis we used the chi-square test and binary logistic regression to examine the relationship between sociodemographic factors, NCDs and mobility. SPSS (17.0) software was used for this and the significance level was set at 5%. Results: Level of education (p ≤ 0.001) and age (p = 0.034) are the two factors related to low mobility. However, the model built by multiple logistic regression analysis revealed that age is independently related to limited mobility in oldest old people (OR 3.29; 95% CI 1.09 to 9.87). Conclusion: Thus, oldest old >85 years are at a greater risk of decreased mobility independent of their education, marital and nutritional statuses and gender. We encourage further studies in this area. Studies which will not only address those facts considered in this study but that also examine family-related aspects, especially using longitudinal studies.

Die Flexion der Indefinita jemand und niemand

2021 ◽  
Vol 49 (2) ◽  
pp. 209-243
Author(s):  
Linnéa Weitkamp
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Influencing Factors ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Corpus Study ◽  
Frequent Use ◽  
Current Variation ◽  
Reference Corpus

Abstract This article investigates the inflection of the German indefinite pronouns jemand and niemand in the accusative and dative. The pronouns are used both with inflectional suffix (jemanden/jemandem, niemanden/niemandem) and without (jemand, niemand) and are thus an example of current variation in contemporary German. The grammars take an unusually liberal stance and describe both forms as correct, partially even with preference to the uninflected form. A corpus study which examines conceptually written data of the DeReKo (German reference corpus) and conceptually oral data of the DECOW16B (German web corpus), shows that over 90 % of occurrences are inflected. But almost 10 % of uninflected forms show that these formations are no arbitrary errors either. To find out what influences the presence or absence of the inflectional ending, a binary logistic regression model was calculated. The following factors proved to be significant influencing factors for inflection: the degree of formality (DeReKo vs. DECOW16B), the lexeme (jemand vs. niemand), the case (acc vs. dat), government by preposition vs. government by verb and the following nominalized adjective (jemand anderen). With regard to the different inflectional suffixes, the frequent use of -en in the dative stood out in particular. Although this form is classified as erroneous in all grammars, almost 30 % of the dative occurrences in informal DECOW16B data are formed in this way.

scholarly journals Prevalence of diabetes, hypertension, and the socio-demographic predictors of the type of facility utilized for related services in rural Telangana

2020 ◽  
Vol 7 (11) ◽  
pp. 4499
Author(s):  
M. Abdul Wassey ◽  
Ashish Giri ◽  
Aakash Raikwar ◽  
Vishal Dogra
Keyword(s):  
Secondary Data ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Delivery Of Care ◽  
Aggregated Data ◽  
Medical Unit ◽  
Demographic Predictors

Background: Diabetes mellitus and hypertension are chronic conditions that, on one hand demand early detection, screening, and treatment and on the other, require longitudinal follow-up for their successful management. Piramal Swasthya’s Arogyaseva program uses two contrasting methods (MMU and static clinic) to deliver diabetes and hypertension-related care. The MMU provides doorstep delivery of care, while the static clinic is located by the highway, is equipped with a telemedicine center, and has slightly higher diagnostic and therapeutic capabilities. The study aims to find the prevalence of diabetes and hypertension, and determine the association between the sociodemographic factors and the type of facility utilized for these conditions.Methods: This cross-sectional study is a secondary data analysis of the aggregated data of patients who availed health services at the Mobile Medical Unit and the static clinic. The data was analyzed to find out the prevalence of diabetes and hypertension, and Binary logistic regression was used to determine socio-demographic predictors of the type of health facility used for diabetes and hypertension-related care.Results: Overall hypertension and diabetes prevalence was 24% and 7%, respectively. Women (aOR 1.3; 95% CI 1.122–1.510), illiterate (aOR 2.61; 95% CI 2.021-3.392), hypertensives (aOR 3.28; 95% CI 2.807-3.846) and the elderly (aOR 1.43; 95% CI 1.204-1.721) were significantly more likely to utilize MMU based outreach facility compared to their respective baseline counterparts.Conclusions: The mobile medical unit can play a significant role in delivering hypertension and diabetes-related care, especially to women and the elderly.

scholarly journals DETERMINANT OF HEALTH PROTOCOL IMPLEMENTATION AMONG ELDERLY WITH CHRONIC DISEASE IN JEMBER

2021 ◽  
Vol 1 (3) ◽  
pp. 129-138
Author(s):  
Sofia Rhosma Dewi
Keyword(s):  
Logistic Regression ◽  
Chronic Disease ◽  
Living Arrangement ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Vulnerable Groups ◽  
P Value ◽  
Plain Language ◽  
Cross Sectional ◽  
Protocol Implementation

Background: Elderly is one of the vulnerable groups against COVID 19 infection. The mortality rate from COVID 19 is the highest in the elderly. The chronic disease is worsening the outcome. Objective: This study aimed to find the determinant of the implementation of health protocols among the elderly with chronic disease. Methods: This study was a correlational study conducted with a cross-sectional approach. A total of 437 elderly were selected through consecutive sampling techniques. The respondents were asked to fill the KAP questionnaire through a google form. The data were analysed using binary logistic regression and multivariate logistic regression techniques using SPSS. Result: The results showed that educational level (p-value 0,088); living arrangement (p-value 0,035); knowledge (p-value 0,026); occupation (p-value 0, 042) and the implementation of self-care management (p-value 0,047) were correlated with the implementation of health protocols among the elderly with chronic disease. Knowledge became the main determinant of the health protocol implementation among the elderly with OR 8,456 95%CI (3,495 – 20,455). Conclusion: It can be concluded that the elderly with adequate knowledge has the potential to be 8,4 times more likely to implement the health protocols properly. Health education about the appropriate implementation of health protocol needs to be carried out using a plain language that is easily accepted by the elderly

scholarly journals ANALISIS KURVA ROC PADA MODEL LOGIT DALAM PEMODELAN DETERMINAN LANSIA BEKERJA DI KAWASAN TIMUR INDONESIA

2020 ◽  
Vol 4 (1) ◽  
pp. 116-135
Author(s):  
Muhammad Rizqi Fachrian Nur ◽  
Siskarossa Ika Oktora
Keyword(s):  
Logistic Regression ◽  
Health Insurance ◽  
Elderly Population ◽  
Descriptive Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Family Status ◽  
Explanatory Variables ◽  
The Status ◽  
Elementary School Education

Binary logistic regression is used for probability modeling or to predict binary response variables (Success / Failure) from one or more explanatory variables that are continuous or categorical. In carrying out this analysis, there are several ways to test the suitability of the resulting model, and one of them is the area under the ROC curve. The application of the analysis method in this study is the determinant of the elderly population to work. The population of the elderly in Indonesia is increasing every year. Many views that the elderly depend on other residents, especially in terms of the economy. However, if seen from the percentage of elderly working in Indonesia, it is increasing, including the elderly in KTI. The purpose of this study is to determine the characteristics of the elderly in KTI, know the factors that influence the decision of the elderly population to work in KTI and find out the tendency of variables that affect the decision of the elderly to work in KTI. The data used are raw data from Badan Pusat Statistik (BPS) was Survei Sosial Ekonomi Nasional (Susenas) Kor March 2018. This study using descriptive analysis methods and binary logistic regression. The results are that the variables that significantly influence the decisions of the elderly to work are residence, gender, age, education, family status, marital status, health complaints, and health insurance. Elderly who has characteristics residing in rural, male sex, classified as young elderly (60-69 years old), has the highest level of elementary school education, has the status of KRT in his family, is married, has no complaints health, and not having health insurance will have a greater tendency to decide to work.  

scholarly journals Family characteristics on self-reported toothache among Indonesian children aged 12–14 years

2018 ◽  
Vol 5 (3) ◽  
pp. 235-239
Author(s):  
Elyda Akhya Afida Misrohmasari ◽  
Hestieyonini Hadnyanawati ◽  
Berlian Prihartiningrum ◽  
Dina Eka Putri ◽  
Keyword(s):  
Logistic Regression ◽  
Oral Health ◽  
Parental Education ◽  
Family Income ◽  
Dental Treatment ◽  
Descriptive Statistics ◽  
Family Characteristics ◽  
Permanent Teeth ◽  
Number Of Children ◽  
The Family

Abstract Objective Toothache was reported as a reason for school absenteeism, sleeping difficulties, loss of appetite, and seeking dental treatment among children. These represented some impacts of dental problems on health, quality of life, and socioeconomic problems. The aims of this study were to describe the prevalence of toothache among 12–14-year-old children in Indonesia and their family characteristics and to analyze the associations of family characteristics on the toothache. Methods We analyzed the data from the Indonesian Family Life Survey 5 in 2014–2015. A total of 2,377 children aged 12–14 years were included in this survey. This age is the early stage of eruption of all permanent teeth. Children were asked about their experience on toothache in the last 4 weeks as a dependent variable. The independent variables were the family socioeconomic characteristics including father's and mother's highest educational level, family income, and the number of children in the family. A logistic regression was applied to analyze the relationship of family characteristics with toothache experience of children. Results Toothache experience was reported from 13.9% of the respondents. Descriptive statistics showed that higher percentages of toothache were experienced by male children and children from family with lower parental education and economic position as well as from bigger family. However, logistic regression showed that only the number of children in the family had a statistically positive association with self-reported toothache of the children. Children living in the family with more than four children were more likely reported toothache than living in the family with one or two children (P=0.012; odds ratio [OR]=1.53). Children living with more siblings may experience less attention from their parents on oral health hygiene. Poor oral health habits could result in dental pain. Conclusions Descriptive statistics showed that a higher percentage of toothache was experienced by children from lower socioeconomic families, although the only significant association was the number of children in the family.

scholarly journals Analysis of Factors that Influence Migration in Alian and Ayah Subdistrict, Kebumen Regency, Central Java

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Diah Tiara Rahmasari ◽  
Abdul Aziz Ahmad
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
Influential Factor ◽  
Primary Data ◽  
Or Education ◽  
Central Java ◽  
The Family ◽  
Medium Level ◽  
Work Skill ◽  
The Government

This research aimed to analyses migrants’ income contribution to income of the family at hometown, the influences of income, age, numbers of family to be responsible to, education, and marriage status on decision about migration in Kebumen. The method used in the research was survey of primary data which is gained through interviews and questionnaires. The data in this research were 91 migrants in Alian and Ayah Districts. Data analysis techniques used were binary logistic regression. The results showed that the contribution of migrants’ income to family’s income after migrating to the two districts was in medium level. It showed that the needs to live in migration place were expensive. Consequently, the income obtained in migration place could not give enough contribution to the family in hometown. Based on the analysis, the variable of the numbers of people the migrants had positive and significant effect for migration. Income and marriage variables status had negative and significant effect. While age and education variables had no contribution to the migration. Income is the most influential factor in migration, so the government or related organizations should give attentions to the citizen’s prosperity by creating making the job activities. The government and the society should cooperate in developing the economic potential in each area. It is also by giving the society some loans and work-skill coaching or education to increase their income. Those are to encourage the society to be more creative and autonomous.Keywords: Binary Logistic Regression, Citizen’s Prosperity, Marriage Status.

Relationship between Family Support and Elderly Physical Fitness in West Denpasar District in 2019

2020 ◽  
Vol 3 (2) ◽  
pp. 5-10
Author(s):  
I Nyoman Tripayana
Keyword(s):  
Physical Fitness ◽  
Family Support ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Bivariate Analysis ◽  
Work Status ◽  
Cross Sectional ◽  
The Family ◽  
Cross Sectional Design ◽  
Daily Physical Activities

Background and goals: People who are getting older will reduce their ability to perform daily physical activities that can affect their physical fitness. Family support is needed by the elderly in living their old age because the family plays an important role and has the responsibility in caring for the elderly. Good family support for elderly activities will be able to maintain and improve the health and fitness of the elderly. This study aims to determine the relationship of family support with physical fitness of the elderly.Method: This study used a cross sectional design involving 96 elderly samples that met the requirements. Data collection is done by testing and filling out questionnaires. Data were analyzed using the Spearman Rho test and binary logistic regression test.Results: Bivariate analysis showed that variables related to physical fitness were family support (p = 0.004), gender (p = 0.035) and work status (p = 0.001). The results of multivariate analysis showed that variables related to physical fitness were family support (AOR 5,618; 95% CI: 1,624-19,435) and work status (AOR 10,974; 95% CI: 2,452-49,095).Conclusion: Family support has a relationship with elderly physical fitness. Characteristics of work status samples have a relationship with physical fitness of the elderly. The family should always provide positive support to the elderly in fulfilling daily activities in accordance with the ability of the elderly in their effort to maintain and improve the physical fitness of the elderly.

Analysis of multistage chains in public transport: The case of Quito, Ecuador

2016 ◽  
Author(s):  
Efrain Bastidas Zelaya
Keyword(s):  
Logistic Regression ◽  
Best Practices ◽  
Public Transport ◽  
Computer Software ◽  
Binary Logistic Regression ◽  
Household Survey ◽  
Single Stage ◽  
Descriptive Statistics ◽  
Policy Makers

 Because of the growth of cities in size and population, people get used to perform several stage trips involving transfers due to advantages such as time or price paid, being multistage trips more attractive compared to single stage trips. In Quito, Ecuador, nowadays multistage trips represent one third of total daily trips. This paper seeks to identify main characteristics of multistage trips as well as find relationships and inferences that allow recommendations regarding best practices to policy makers and transport managers. The information used belong to the data collected in the Household Survey Mobility held in Quito in 2011. Based on these data, the present work starts using an analysis with descriptive statistics. The next phase of this research involves the search for a methodology in order to identify correlations between demographic, socioeconomic and transport variables related with traveler´s choice for making or not a transfer.  Best methodology found was the use of Binary Logistic Regression (Logit) and specific computer software, with which different statistic's models were performed to find the strongest correlation. The paper ends with conclusions and recommendations as well as suggestions for future research.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3530

scholarly journals Changes in Cognitive Function and Risk Factors for Cognitive Impairment of the Elderly in China: 2005–2014

2019 ◽  
Vol 16 (16) ◽  
pp. 2847 ◽  
Author(s):  
Qilin Zhang ◽  
Yanli Wu ◽  
Tiankuo Han ◽  
Erpeng Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Cognitive Impairment ◽  
Cognitive Function ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Binary Logistic Regression Analysis ◽  
Chinese Elderly

Background: The cognitive function of the elderly has become a focus of public health research. Little is known about the changes of cognitive function and the risk factors for cognitive impairment in the Chinese elderly; thus, the purposes of this study are as follows: (1) to describe changes in cognitive function in the Chinese elderly from 2005–2014 and (2) to explore risk factors for cognitive impairment of the Chinese elderly. Design and setting: A total of 2603 participants aged 64 years and above participated in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and were followed up from 2005 to 2014. Cognitive function and cognitive impairment were assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Binary logistic regression analysis was used to estimate the odds ratio (OR) and 95% confidence intervals (CI) of cognitive impairment. Results: Results revealed that the cognitive function of the Chinese elderly shows diversified changes: deterioration (55.09%), unchanged (17.21%) and improvement (27.70%). In addition, there are significant demographic differences in gender, age, education, marriage and other aspects when it comes to the changes of cognitive function in Chinese elderly. In the binary logistic regression analysis, female, increased age, lower education level, no spouse, less income, worse PWB (psychological well-being), less fresh fruit and vegetable intake, more activities of daily living (ADL) limitations, lower social engagement were significantly associated with higher odds for cognitive impairment. Conclusions: Various interventions should be implemented to maintain cognitive function in Chinese elderly.

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