scholarly journals Healthy aging: gender and lifecourse perspective cycle

2014 ◽  
Vol 5 (1) ◽  
pp. 55-63
Author(s):  
Mª Pilar Montero ◽  
Mª Rosario López-Giménez ◽  
Paula Acevedo ◽  
Ana I. Mora
Keyword(s):  
Life Satisfaction ◽  
Social Factors ◽  
Educational Level ◽  
Regression Models ◽  
Healthy Aging ◽  
Men And Women ◽  
Independent Variables ◽  
Number Of Children ◽  
Sitting Height ◽  
Multiple Regression Models

Objective: To identify biocultural and social factors acting at different stages of lifecourse, involved in the form of aging in women and men over 65 years. Material and Methods: The sample consists of 213 individuals; mean age was 73.9 years (std=5.8) for women and 74.8 (std=6.6) for men. Data were collected in Cultural and Leisure Centers in the Community of Madrid. Healthy aging (created from the number of diagnosed diseases, perceived health, life satisfaction, hearing and oral status) was considered as the dependent variable. The independent variables considered in this study were age, sex, educational level, sitting height, spam, age at first maternity and the total number of children. Linear multiple regression models were used for statistical analysis. Results: Healthy aging was negatively associated with age and positively with the sitting height in men. In women, healthy aging was positively associated with years of education, when age at first motherhood is included in the model, this in the only variable remaining with a significant effect. Conclusions: There are several factors acting across the life of men and women and that affect differently the way women and men get old.

scholarly journals Healthy aging: gender and lifecourse perspective cycle

2014 ◽  
Vol 5 (1) ◽  
pp. 55-63
Author(s):  
Mª Pilar Montero ◽  
Mª Rosario López-Giménez ◽  
Paula Acevedo ◽  
Ana I. Mora
Keyword(s):  
Life Satisfaction ◽  
Social Factors ◽  
Educational Level ◽  
Regression Models ◽  
Healthy Aging ◽  
Men And Women ◽  
Independent Variables ◽  
Number Of Children ◽  
Sitting Height ◽  
Multiple Regression Models

Objective: To identify biocultural and social factors acting at different stages of lifecourse, involved in the form of aging in women and men over 65 years. Material and Methods: The sample consists of 213 individuals; mean age was 73.9 years (std=5.8) for women and 74.8 (std=6.6) for men. Data were collected in Cultural and Leisure Centers in the Community of Madrid. Healthy aging (created from the number of diagnosed diseases, perceived health, life satisfaction, hearing and oral status) was considered as the dependent variable. The independent variables considered in this study were age, sex, educational level, sitting height, spam, age at first maternity and the total number of children. Linear multiple regression models were used for statistical analysis. Results: Healthy aging was negatively associated with age and positively with the sitting height in men. In women, healthy aging was positively associated with years of education, when age at first motherhood is included in the model, this in the only variable remaining with a significant effect. Conclusions: There are several factors acting across the life of men and women and that affect differently the way women and men get old.

scholarly journals Sexual and Marital Relationship Satisfaction in Parents of Children With Disabilities

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Remigiusz Kijak
Keyword(s):  
Relationship Satisfaction ◽  
Sexual Satisfaction ◽  
Children With Disabilities ◽  
Marital Relationship ◽  
Satisfaction Scale ◽  
Men And Women ◽  
Independent Variables ◽  
Number Of Children ◽  
The Family

The purpose of this study was to determine the level of sexual satisfaction and type of relationship between spouses, and then to determine the correlation between these variables and independent variables. These include: disability type of the child, the number of children in the family, and the gender of the parents. The hypothesis was that ‘the level of sexual satisfaction in parents is significantly related to the type of disability possessed by their children’ and similarly it was found that disability type significantly affects the type of relationship between parents. The research was conducted using the Matched Marriage Questionnaire (MMQ) and the Sexual Satisfaction Scale (SSS). The data obtained in the study showed that most spouses experience high and average sexual satisfaction and no particular differences between men and women were observed. The differences appeared when analyzing parents of a child with autism. In this group the results were more diverse in the detailed descriptions of the scale. The results obtained regarding marital relationship satisfaction indicate a not very favorable picture of the relationships of the surveyed subjects.

scholarly journals Perception of Consumers towards Nepalese Insurance Products

2020 ◽  
Vol 13 (1) ◽  
pp. 36-48
Author(s):  
Pitri Raj Adhikari
Keyword(s):  
Comparative Research ◽  
Regression Models ◽  
Consumer Perception ◽  
Insurance Companies ◽  
Kathmandu Valley ◽  
Satisfaction Level ◽  
Independent Variables ◽  
Research Designs ◽  
Multiple Regression Models ◽  
Structured Questionnaire

This paper examines the changing perception of consumers towards Nepalese insurance products. Descriptive and causal-comparative research designs are used to achieve the objectives and data are collected through a structured questionnaire from 400 respondents of Kathmandu valley and Parsa district. Descriptive statistics, as well as multiple regression models, are used to analyze the data. It is found that consumer perception (dependent variable) is positively correlated with independent variables (company loyalty, service quality, satisfaction level, company image and ease of procedures). Company image, company loyalty and satisfaction level are the most dominant factors that influence the perception of consumers towards insurance products in the context of Nepalese insurance companies. This study is an endeavor to extend the literature of changing the perception of consumers towards insurance products and it is the first to report the evidence from the combination of Kathmandu valley and Birgunj metropolitan city of Parsa district perspective.

scholarly journals Childlessness, parenthood and subjective wellbeing: The relevance of conceptualizing parenthood and childlessness as a continuum.

2018 ◽  
Author(s):  
Marco Albertini ◽  
Bruno Arpino
Keyword(s):  
Life Satisfaction ◽  
Regression Models ◽  
Subjective Wellbeing ◽  
Later Life ◽  
Standard Errors ◽  
Intergenerational Solidarity ◽  
Older Individuals ◽  
Linear Regression Models ◽  
Number Of Children ◽  
The Continuum

The objective of the paper is to show the theoretical and practical relevance of conceptualizing and operationalizing parenthood and childlessness as a continuum – instead of a dichotomy - when evaluating the consequences of kinless-ness in later life. It is suggested that information on the number of children, structural and associational intergenerational solidarity can be utilized to operationalize the continuum. Subjective wellbeing is utilized as outcome of interest. Data from waves 2, 4, 5 and 6 of the Survey of Health, Ageing and Retirement in Europe are used. The sample includes 183,545 respondents from 21 countries. Linear regression models with clustered standard errors are used. Childless older individuals report lower levels of life satisfaction than parents. However, the largest difference is observed between those with one and two children. Using a measure of associational intergenerational solidarity to weight the degree of parenthood it is shown that parents who have infrequent contact with children report significantly lower levels of life satisfaction than childless individuals.Kinless-ness is not only a demographic but also a social condition. When studying the consequences of ageing alone it is essential to consider not only the presence and “quantity” of kin, but also its “quality”.

Social Isolation and Loneliness: Differences between Older Rural and Urban Manitobans

2004 ◽  
Vol 23 (2) ◽  
pp. 129-140 ◽  
Author(s):  
Betty Havens ◽  
Madelyn Hall ◽  
Gina Sylvestre ◽  
Tyler Jivan
Keyword(s):  
Older Adults ◽  
Social Isolation ◽  
Social Factors ◽  
Regression Models ◽  
Chronic Illnesses ◽  
Living Alone ◽  
Rural And Urban ◽  
Multiple Regression Models ◽  
Urban Adults ◽  
Age Range

ABSTRACTThe purpose of this paper was to identify predictors of social isolation and loneliness for very old rural and urban adults. With data from the 1996 Aging in Manitoba Study (N = 1,868; age range 72–104), separate multiple regression models were constructed for rural and urban sub-samples, using the life space index (LSI) to measure social isolation as one outcome, and a loneliness index created by the authors from a combination of items to measure loneliness as a second outcome. Different factors were found to predict the outcomes for the two sub-samples. The models with isolation as the outcome produced five predictors for the rural sub-sample and three for the urban sub-sample. Only living alone was the same for both groups. The models with loneliness as the outcome produced five predictors for the rural sub-sample and two for the urban sub-sample, again with only one factor in common – four or more chronic illnesses. We conclude that health and social factors are important predictors of social isolation and loneliness, and sensitivity to these factors may improve the experience of older adults.

scholarly journals Diet and Food Insecurity Among Residents of a Rural County

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 135-135
Author(s):  
Soghra Jarvandi ◽  
Kristen Johnson ◽  
Karen Franck
Keyword(s):  
Food Security ◽  
Dietary Intake ◽  
Food Insecurity ◽  
Regression Models ◽  
Household Food Insecurity ◽  
Rural County ◽  
Men And Women ◽  
Added Sugars ◽  
Household Food ◽  
Multiple Regression Models

Abstract Objectives Rural residents are more likely to experience food insecurity and the related risks for obesity than urban residents. The objective of this study was to explore the association between dietary intake and food insecurity in a sample of residents of a rural county in Tennessee. Methods We used data from an obesity prevention program in a rural county in Tennessee. Adults were recruited to complete a survey, via telephone or online, about lifestyle behaviors. Dietary data were collected using the 26-item National Cancer Institute (NCI) food frequency questionnaire (FFQ). Household food security was assessed using the USDA six-item Short Form Food Security Survey Module. Respondents were classified as ‘food secure’ or ‘food insecure’. We used multiple regression models to assess the association between dietary intake (dependent variable) and food security (independent variable) in men and women separately. Models were controlled for age, race, and body mass index. Results Data from 448 surveys were included in the analysis. The respondents’ mean ± SD age was 55 ± 18 years, 60% were female, and 66% were White. Overall, the average daily intake was less than 2 cups equivalents for vegetables (1.54 ± 0.43), less than 1 cup equivalents for fruits (0.92 ± 0.40), and more than 15 teaspoons equivalents for added sugars (16.06 ± 6.36). In multiple regression models, household food insecurity was associated with lower intake of vegetables both in men (mean ± SE, secure vs. insecure 1.76 ± 0.05 vs. 1.57 ± 0.07, P = 0.02) and in women (1.42 ± 0.03 vs. 1.30 ± 0.04, P = 0.01). Household food insecurity was associated with higher intake of added sugars in women (16.74 ± 0.56 vs. 14.87 ± 0.43, P = 0.009), but not in men. Conclusions Food insecurity was a predictor of lower intake of fruits and vegetables among men and women, and higher intake of added sugars among women. These findings highlight the need to address food insecurity in rural areas by improving access to nutritious food. Funding Sources Centers for Disease Control and Prevent (CDC).

scholarly journals Workin' moms ain't doing so bad: Evidence on the gender gap in working hours at the outset of the COVID-19 pandemic

2021 ◽  
Author(s):  
Veronika Knize ◽  
Lina Tobler ◽  
Bernhard Christoph ◽  
Lukas Fervers ◽  
Marita Jacob
Keyword(s):  
Gender Gap ◽  
Early Phase ◽  
Regression Models ◽  
Sharp Decrease ◽  
Working Hours ◽  
Men And Women ◽  
Independent Variables ◽  
Employment Agency ◽  
And Gender ◽  
Observation Period

Objective: In this project, we study changes in the working hours of men and women with and without children in the early phase of the COVID-19 crisis in Germany until August 2020. Background: The COVID-19 outbreak in Europe led to a sharp decrease in economic activity, along with temporary closures of childcare facilities and schools. Subsequent changes in working hours in the early phase of the pandemic and during summer 2020 may have contributed to inequalities between men and women or parents and non-parents respectively. Method: We use a unique panel dataset containing monthly survey data of the Institute for Employment Research (the IAB-HOPP) combined with administrative data of the German Federal Employment Agency. We run regression models with the change in working hours (before the crisis vs. working time at each panel wave) as the dependent variable and gender, parental status, and childcare arrangement as the main independent variables. Results: We observe a comparable reduction in working hours for both men and women during the spring lockdown. However, only the working hours of women recover and return to their pre-crisis level in summer 2020. Most surprisingly, having children has an accelerating effect on recovery for mothers but not for fathers. At the end of the observation period, fathers do not recover as fully as mothers do. Conclusion: These results challenge concerns about a temporary or possibly persistent 're-traditionalisation' of gender roles during the COVID-19 crisis.

scholarly journals USING PROBABILITY REGRESSION MODELS TO MEASURING MANAGEMENT EFFICIENCY FOR BROILER PROJECTS

2019 ◽  
Vol 50 (Special) ◽  
Author(s):  
Ali & Faeq
Keyword(s):  
Educational Level ◽  
Regression Models ◽  
Probit Model ◽  
Poultry Production ◽  
Scientific Methods ◽  
Independent Variables ◽  
Management Efficiency ◽  
Training Courses ◽  
The Relationship ◽  
Level Production

The efficiency of management is determining factor for the success or failure of agricultural projects generally and Livestock particularly achieving its objectives. Therefore, this research came to diagnose the most important variables that determine the efficiency of management using the probability regression models to measure the probability of management efficient of broilers production projects using  random sample included (60) broilers projects represented 11.6% of Baghdad province (research community) in 2016. After estimating the relationship between the management efficiency (descriptive dependent variable) and the independent variables affecting it (age, educational level, production index (PI), experience). The results showed that the parameters of these variables were positive according the economic logic, except for the parameter of the experience variable, which was negative contrary to economic logic. The results showed that the independent variables were significant at 1% and 5% levels in logit and probit models, except the PI variable, which was insignificant in the Tobit model. By comparing the results of the three models and the tests performed, the probit model showed its preference.  The age and educational level were most important independent variables affecting the efficiency of management, the suggested recommendations of the research indicated to increase the efficiency of the administration through training courses to train workers and teach them to follow the modern methods in poultry production and raise the scientific methods because of its impact in increasing productivity.

scholarly journals PENGARUH MUTASI DAN BUDAYA ORGANISASI TERHADAP KEPUASAN KERJA DI LINGKUNGAN PT PEGADAIAN (PERSERO)

2019 ◽  
Vol 18 (2) ◽  
pp. 103-114
Author(s):  
Sedarmayanti Sedarmayanti ◽  
Gun Gun Gunawan
Keyword(s):  
Job Satisfaction ◽  
Organizational Culture ◽  
Data Analysis ◽  
Data Processing ◽  
Regression Models ◽  
Significance Level ◽  
Independent Variables ◽  
Multiple Regression Models ◽  
Using Data ◽  
Data Analysis Methods

This study using data analysis methods namely multiple regression models that are used to see the effect of independent variables, namely Mutations (X1) and Organizational Culture (X2) on the dependent variable, namely Job Satisfaction (Y), so that in research this aims to be able to produce data processing that has been done at PT Pegadaian (Persero) Kanwil X Bandung, then tested using the T test and F test, showing that mutation variables and organizational culture simultaneously on job satisfaction shows results as complete as 53.8% or has a Sig. value of 0.000 where this value is smaller than the significance level used is 0.05, which means that H0 is rejected while for partial mutation variables for the variable job satisfaction of 27.04% or having a Sig. value of 0.011 is smaller than 0.05, meaning H0 is rejected so that it only has 1.1% and variables organizational culture on job satisfaction is 51.27% or has a Sig. value of 0.000 smaller than 0.05, which means that H0 is rejected so that it only has an effect of 0% where all of these variables produce a continuum in the good category based on responses from employees as respondents fromfilling the questionnaire. Keywords: Job Satisfaction; Mutations; Organizational Culture  

DENSITY, DIVERSITY, AND EFFICIENCY OF POLLINATORS OF SAINFOIN, ONOBRYCHIS VICIAEFOLIA SCOP.

1988 ◽  
Vol 120 (12) ◽  
pp. 1085-1100 ◽  
Author(s):  
K.W. Richards ◽  
P.D. Edwards
Keyword(s):  
Honey Bees ◽  
Regression Models ◽  
Bumble Bees ◽  
Independent Variables ◽  
Pollinator Species ◽  
Julian Date ◽  
Southern Alberta ◽  
Multiple Regression Models ◽  
Flower Density ◽  
The Mean

AbstractThe density and efficiency of bumble bees, honey bees, and alfalfa leafcutter bees on sainfoin, Onobrychis viciaefolia Scop., grown in southern Alberta were studied. Six species of bees were identified as pollinators, with alfalfa leafcutter bees comprising 56% of the observations, honey bees 40%, and bumble bees 4%. The density of flowers over the season can be described as curvilinear. The mean number of flowers per raceme decreased significantly over the season. The rate of foraging by pollinator species from flower to flower varied and is described by multiple regression models. Julian date, hour of day, and flower density are the independent variables. More than 90% of the bees visited three or fewer flowers per raceme when 60% of the racemes had three or more flowers available for pollination. The bees foraged on sainfoin for about 12 h per day and average bee density increased significantly with the corresponding flower density. A theoretical approach used to predict the bee populations required to pollinate varying flower densities shows that the required population of bumble bees is about two-thirds that of honey bees or alfalfa leafcutter bees. The observed populations of pollinators did not correspond well with the derived values, probably because multiple visits per flower are required for fertilization.

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