scholarly journals Socio-Economic Factors and Job Satisfaction of Healthcare Units in Chennai City

2021 ◽  
pp. 464-469
Author(s):  
Mrs. M. Manochithra
Keyword(s):  
Job Satisfaction ◽  
Marital Status ◽  
Business Process ◽  
Personality Factors ◽  
Economic Factors ◽  
Business Process Outsourcing ◽  
Educational Qualification ◽  
Chennai City ◽  
The Relationship ◽  
Socio Economic Factors

Job satisfaction is not only related to various aspects of employees behaviour but also to their socio-economic factors. The relationship between job and life is complex depending on personality factors like job and the socio-economic factors. Hence, it is essential to analyse how socio-economic factors affects the job satisfaction of employees working in Healthcare units of Business Process Outsourcing sector. The present chapter makes an attempt to examine the relationship between the job satisfaction and the employees socio-economic factors such as age, sex, marital status, educational qualification, background of education, salary and experience.

scholarly journals Trend in Household Expenditures in Albania

2018 ◽  
Vol 14 (5) ◽  
pp. 150
Author(s):  
Ruzhdie Bici ◽  
Albana Hashorva
Keyword(s):  
Material Deprivation ◽  
Household Composition ◽  
Living Standard ◽  
Economic Factors ◽  
Household Expenditures ◽  
Standard Measurement ◽  
Food Expenditures ◽  
The Relationship ◽  
Socio Economic Factors ◽  
Significant Factors

In Albania almost 50% of the household expenditures go for food. The levels of the food have change by years but still have a considered weight in household budget. The study shows the trend and the significant factors that influence the food and non food consumption for different economic levels of the households in Albania. Household composition, geographic characteristics and other material deprivation dimensions have an important impact to the consumption trend and household wellbeing. The data refers to the Living Standard Measurement Survey (LSMS), which measure poverty through expenditures method. It is a multidimensional survey and gives us the possibility to have multi indicators and also disaggregate and test the relationship and influence. This paper shows the trend by household size, for different regions, the typology of the household and other socio-economic factors that may influence the food and non food expenditures trend. It is used the descriptive analyses and quintile regression of different foods level by different factors. The calculations are done using SPSS and Stata.

scholarly journals Emotional Eating in Adults: the Role of Socio-demographics, Lifestyle Behaviors, and Self-regulation- Findings From a US National Study

2020 ◽  
Author(s):  
Roni Elran Barak ◽  
Kerem Shuval ◽  
Qing Li ◽  
Reid Oetjen ◽  
Jeffrey Drope ◽  
...  
Keyword(s):  
Health Behaviors ◽  
Fast Food ◽  
Emotional Eating ◽  
Self Regulation ◽  
The United States ◽  
Economic Factors ◽  
Eating Patterns ◽  
Targeted Interventions ◽  
The Relationship ◽  
Socio Economic Factors

Abstract Background: Emotional eating, the tendency to overeat in response to negative emotions, has often been linked to weight gain. However, scant evidence exists examining prevalence and correlates of emotional eating among large samples of adults in the United States (US). Hence, we examine the relationship between individual and socio-economic factors, health behaviors, and self-regulation to emotional eating patterns among US adults. Methods: Cross-sectional analysis of 5,863 Family Health Habits Survey participants. Multivariable ordered logistic regression was employed to examine the relationship between the frequency of the desire to eat when emotionally upset (never, rarely, sometimes, often, and very often) to the independent variables. Results: Analysis reveals that 20.5% of the sample tended to emotionally eat often or very often. Being female, non-Hispanic white, and of younger age were all related to a higher likelihood of emotional eating. Additionally, inability to delay gratification (impatience) was related to an 18% increased likelihood (95%CI 1.05-1.33) for emotional eating. Finally, emotional eating was significantly related to more frequent fast food consumption, and increased alcohol intake. Conclusions: Program planners might need to develop targeted interventions aimed at enhancing emotional regulation skills while addressing these less healthful behaviors (e.g., fast-food intake) with the ultimate goal of obesity and chronic disease prevention. To examine the relationship between individual and socio-economic factors, health behaviors, and self-regulation to emotional eating patterns among adults.

DINAMIKA KELOMPOK TANI DI DESA NUNKURUS KECAMATAN KUPANG TIMUR KABUPATEN KUPANG

2020 ◽  
Vol 21 (1) ◽  
pp. 42-49
Author(s):  
Erni Dida ◽  
Made Tusan Surayasa ◽  
Serman Nikolaus
Keyword(s):  
Statistical Tests ◽  
Secondary Data ◽  
Socioeconomic Factor ◽  
Primary Data ◽  
Economic Factors ◽  
Land Area ◽  
Farmer Groups ◽  
Nonparametric Statistical ◽  
The Relationship ◽  
Socio Economic Factors

ABSTRACT This research was conducted in Nunkurus Village, East Kupang District, Kupang Regency. Data collection was carried out in April-June 2019. The purpose of this study was to: determine the level of dynamics of farmer groups in Nunkurus Village, East Kupang Subdistrict, Kupang Regency, and to analyze the relationship between socio-economic factors and the level of dynamism of farmer groups in Nunkurus Village, East Kupang Subdistrict, Kupang Regency in trying to farm. The location of the study was determined intentionally (purposive sampling), while the respondents were determined by means of professional random sampling of members of farmer groups, and intentionally towards the chairmen and secretaries of each farmer group. The number of respondents was 48 people. The type of data collected is primary data and secondary data. Data collected was analyzed using a Likert Scale, and Sperman Rank nonparametric statistical tests. The results showed that: (1) the dynamics of farmer groups in Nunkurus Village, East Kupang District, Kupang Regency was classified as "quite dynamic" (65%). The atmosphere of the group contributes the most, namely 70% while the element of developing and fostering the group contributes only 60%, and (2) the socioeconomic factor of the level of education has a significant relationship with the dynamics of the farmer group in Nunkurus Village. While socio-economic factors of age, experience of farming, land area and number of family dependents have insignificant relationship with the dynamics of farmer groups in Nunkurus Village, East Kupang District, Kupang Regency.

scholarly journals How Are Community Socio-Economic Factors Associated with the Sales of Unhealthy Products: Alcohol, Tobacco and Unhealthy Snack Food in Low Income Communities

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 294-294
Author(s):  
Lauren Wallace ◽  
Elizabeth Racine ◽  
Rajib Paul ◽  
Shafie Gholizadeh ◽  
Caitlan Webster
Keyword(s):  
Low Income ◽  
Economic Status ◽  
Snack Food ◽  
Economic Factors ◽  
Socio Economic Status ◽  
The Relationship ◽  
Unhealthy Snacks ◽  
Unhealthy Snack ◽  
Socio Economic Factors ◽  
Alcohol Sales

Abstract Objectives People under stress tend to use unhealthy coping mechanisms including using products like alcohol, tobacco and unhealthy snacks. The purpose of this study is to assess how measures of community socio-economic status, which may be proxies for community stress, are associated with the sales of unhealthy products (alcohol, tobacco, and unhealthy snacks) at a discount variety store chain. Specifically, we consider the following measures of community socio-economic status: population racial/ethnic composition, % of households on SNAP, % of households without a vehicle, walkability score and median community income. Methods Mixed effects linear regressions with random effects were used to examine the relationship between the weekly unit sales (per 1000 population) of three outcome variables (tobacco, alcohol, unhealthy snacks) and community socio-economic factors: % of households on SNAP, % of households without a vehicle, and median community income. Results The sales of alcohol, tobacco, and unhealthy snacks increased as the % of the population participating in SNAP increased. Other measures of community socio-economic status were not significantly (at 5% significance level) associated with tobacco or unhealthy snack sales. However, for alcohol sales, increases in: the median household income, walkability score and % of African American residents, were associated with a decrease in alcohol sales. Conclusions Low income neighborhoods frequently experience greater health burden compared to higher income neighborhoods. Understanding and quantifying the relationship between financial stress and unhealthy product consumption can help public health professionals intervene before chronic diseases manifest. Funding Sources Robert Woods Johnson Foundation.

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