scholarly journals Medically Attended Injuries among Slovak Adolescents: Relationships with Socio-Economic Factors, Physical Fighting, and Physical Activity

2020 ◽  
Vol 17 (18) ◽  
pp. 6721
Author(s):  
Peter Bakalár ◽  
Katarína Rosičová
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Linear Regression Analysis ◽  
Population Group ◽  
Systematic Evaluation ◽  
Economic Factors ◽  
Physical Fighting ◽  
Family Affluence ◽  
Socio Economic Factors

There is a worrisome increase in the reporting of medically attended injuries in Slovak adolescents. The aim of this study is to examine the relationships between socio-economic factors, physical fighting, and physical activity with frequency of medically attended injuries among this population group. Data from 8902 adolescents participating in the Health Behavior in School-Aged Children study were used (mean age 13.37; 50.9% boys). The effects of family affluence, registered unemployment rate, average nominal monthly earnings of employees, physical fighting, and physical activity on frequency of medically attended injury were explored using linear regression analysis. Pearson’s correlation was used to describe the associations between all selected variables. The selected model of linear regression explained 15.8% of the variance in the frequency of medically attended injuries. All variables except the registered unemployment rate showed linear positive relationships with medically attended injuries. The correlation analysis confirmed linear positive associations between medically attended injuries and physical fighting, family affluence, physical activity, and average nominal monthly earnings of employees. Further research on these variables is needed in the Slovak context. This may include analyses of the nature of the relationships between socio-economic factors and medically attended injuries, as well as systematic evaluation of applied physical fighting and physical-activity-related injury interventions to support evidence-based policy making.

Health and nutrition literacy in adults: Links with lifestyle factors and obesity

2020 ◽  
Vol 13 (4) ◽  
pp. 361-370
Author(s):  
Maria Michou ◽  
Demosthenes B. Panagiotakos ◽  
Christos Lionis ◽  
Vassiliki Costarelli
Keyword(s):  
Physical Activity ◽  
Alcohol Consumption ◽  
Linear Regression ◽  
Smoking Status ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Lifestyle Factors ◽  
Linear Regression Models ◽  
Chi Square ◽  
Cross Sectional

BACKGROUND: Low Health Literacy (HL) and Nutrition Literacy (NL) are associated with serious negative health outcomes. OBJECTIVES: The aim of this study was to investigate certain lifestyle factors and obesity, in relation to HL and NL. METHODS: This cross-sectional study was conducted in the urban area of the Attica region, in Greece. The sample consisted of 1281 individuals, aged ≥18 years. HL, NL sociodemographic characteristics and lifestyle factors (physical activity, smoking status, alcohol consumption,) were assessed. Mann-Whitney U, the Kruskall Wallis, Pearson chi-square tests and multiple linear regression models were used. RESULTS: Linear regression analysis has shown that smoking, alcohol consumption and physical activity, were associated with HL levels (–1.573 points for ex-smokers in comparison to smokers, p = 0.035, –1.349 points for alcohol consumers in comparison to non-consumers, p = 0.006 and 1.544 points for physically active individuals to non-active, p = 0.001). With respect to NL levels, it was also not associated with any of these factors. Obesity was not associated with HL and NL levels. CONCLUSIONS: Certain lifestyle factors, including physical activity, are predicting factors of HL levels, in Greek adults. The results contribute to the understanding of the relationship between lifestyle factors and HL and should be taken into account when HL policies are designed.

STATISTICAL ANALYSIS OF LABOUR RESOURCES IN ROMANIA, BEFORE COVID-19 PANDEMIC CRISIS

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Ciprian Iftimoaei ◽  
Cristian-Ionuţ Baciu
Keyword(s):  
European Union ◽  
Statistical Analysis ◽  
Linear Regression ◽  
Unemployment Rate ◽  
Economic Transition ◽  
Linear Regression Analysis ◽  
Hierarchical Cluster ◽  
Developed Countries ◽  
The European Union ◽  
Simple Linear Regression

In the three decades since the collapse of communism in Romania (1989), human resources have gone through several distinct moments in the process of social and economic transition, from the state economy to the market economy: (1) the period 1990-2007 characterized by declining employment, rising unemployment, low wages, employee poverty, labour migration to developed countries; (2) the period 2007-2019 in which Romanian employees experienced the benefits of the European integration process, which meant economic macrostability, increased foreign investment, projects financed by European operational programs that led to increased living standards, increased employment, labour crisis; (3) the period beginning with the 2020 pandemic year and the economic and social crisis, the effects of which are already quantified by official statistics. This paper proposes a retrospective analysis of the evolution of labour resources in Romania, after joining the European Union. The methodology used combines descriptive statistical analysis (labour resources, activity rate, employment rate, unemployment rate, average net earnings), hierarchical cluster analysis to compare the employment situation in Romania in the year of accession to the European Union (2007) versus the year before the onset of the pandemic crisis (2019) and the simple linear regression analysis, having as an independent variable the „unemployment rate” and as a dependent variable „the number of employees”. Simple linear regression is used not only for teaching purposes, but in addition to testing the link between variables, we wanted to find out how much the number of employees decreases if the unemployment rate increases by one percentage point nationwide. The data used come from the TEMPO Online database of the National Institute of Statistics and were processed with the SPSS.

scholarly journals THE EFFECT OF SOCIAL ECONOMIC FACTORS ON FARMER BEHAVIOR IN RICE FARMING IN SUMBER KULON VILLAGE, JATITUJUH DISTRICT, MAJALENGKA REGENCY

2020 ◽  
Vol 4 (2) ◽  
pp. 312-320
Author(s):  
Muhammad Nasirudin ◽  
Wulan Sumekar ◽  
Tutik Dalmiyatun
Keyword(s):  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Economic Factors ◽  
Rice Farming ◽  
Land Preparation ◽  
Analysis Techniques ◽  
Farmer Behavior ◽  
Selection Of ◽  
Socio Economic Factors

Farmers' behavior indicates someone already knows good knowledge, attitude and skills in rice farming activities. the purpose of this study is the influence of socio-economic factors on the behavior of farmers in rice farming. This research was conducted on 21 September - 10 November 2019 in Sumber Kulon Village, Jatitujuh District, Majalengka Regency, West Java. The method used in this study is a survey with 240 respondents. Data collection techniques using questionnaires and interviews, while data analysis techniques using descriptive analysis and multiple linear regression analysis. Patani activities in rice farming are started from land preparation, selection of rice seeds, rice seedbed, planting, maintenance, food and post-harvest. The results showed that the influence of socio-economic factors on farmer's behavior in the level of siginification was 0.05 with 0.006, Educational variable was 0.094, experience variable was 0.552, motivation variable was 0.034, acceptance variable was 0.096, media information variable was 0,000 and agricultural extension variables were of 0.010. This can be seen from the contribution of farmers in social factors by 27% of the behavior of farmers because farmers only depend on rice farming activities. The reasons for choosing to keep doing this activity are, among other things, a family business. 

scholarly journals Pengaruh Pertumbuhan Ekonomi dan Pertumbuhan Penduduk Terhadap Tingkat Pengangguran di Kabupaten Mimika

2021 ◽  
Vol 1 (1) ◽  
pp. 54-66
Author(s):  
Putri Nadya Djaelani ◽  
Habel Taime
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Unemployment Rate ◽  
Positive Relationship ◽  
Regression Coefficient ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Regression

This study aims to determine the significance of the influence of economic growth and population growth on the unemployment rate in Mimika Regency. The method in this study is an associative method using multiple linear regression analysis tools with the help of SPSS statistic. Based on the results obtained in this study, the value of regression coefficient in economic growth variable was 0.058. The coefficient of positive value means that there is a positive relationship between economic growth and the unemployment rate. Then the coefficient of regression in the population growth variable was 0.451. The coefficient of positive value means that there is a positive relationship between population growth and the unemployment rate.

scholarly journals The Participation of Girls and Boys from Ages 10 to 18 in Structured Sports and Extra-Curricular Activities in the Aspect of Social and Economic Conditions

2015 ◽  
Vol 21 (4) ◽  
pp. 240-246 ◽  
Author(s):  
Agnieszka Dmitruk ◽  
Helena Popławska ◽  
Krystyna GÓrniak ◽  
Wojciech Hołub
Keyword(s):  
Physical Activity ◽  
Age Groups ◽  
Modern Society ◽  
Physical Activities ◽  
Economic Factors ◽  
Number Of Children ◽  
The Family ◽  
Sport Activities ◽  
Socio Economic Factors ◽  
Parents Education

Abstract Introduction. The importance of socio-economic factors in differentiating the physical activities of children and teenagers keeps changing. That is why the goal of this research was to identify certain social variables amongst those listed most often which differentiate the level of targeted physical activity of urban children and youths from the Bialskie district. Material and methods. The research was conducted on 1.084 students between the ages of 10 and 18. Three age groups were chosen: 10 to 12, 13 to 15, and 16 to 18. Information about the attendance of respondents in Physical Education classes and structured extra-curricular sport activities, as well as preferred forms of physical activities were collected via a diagnostic survey. The same method was used in the assessment of the socio-economic status of the families of the respondents. The relations between attendance in extra-curricular sports activities and socio-economic factors was assessed by a multifactoral logistic regression model, and the statistical relevance of the differences was calculated by the Wald test. Results. Attendance in structured extra-curricular physical activity depended mostly on income per family member. In the case of type of work performed by parents, the attendance rate in both boys and girls was higher if the parents performed intellectual work. Parents' education and number of children in the family did not have a high influence on the attendance of respondents in structured extra-curricular sport activities. Conclusions. Increasing disproportions in societal prosperity can be an important factor limiting the attendance of the poorest group of children and youths in structured physical activities. The lack of influence on physical activity of such socio-economic variables as parents' education and the number of children in the family can be connected with the change of meaning of those factors in modern society (depreciation of the importance of higher education, decreased fertility).

Socio-economic factors of patients of a military sanatorium in Krynica Zdrój and selected elements of their lifestyle

2019 ◽  
Vol 9 (4) ◽  
pp. 21-26
Author(s):  
Katarzyna Zwolińska-Mirek ◽  
Janusz Mirek ◽  
Elżbieta Cygnar ◽  
Jolanta Proszowska
Keyword(s):  
Physical Activity ◽  
Economic Status ◽  
Education Level ◽  
Economic Situation ◽  
Medical Documentation ◽  
Economic Factors ◽  
Rehabilitation Treatment ◽  
Health Related Behaviors ◽  
Health Related ◽  
Socio Economic Factors

Introduction: One of the crucial factors influencing the lifestyle and health-related behaviors undertaken by people is their social and economic situation. Apart from material status, the level of education plays a significant role. Social and economic factors are major determinants influencing population health. The socio-economic situation may significantly affect the health-related behaviors undertaken in the group in question. The paper attempts to assess the impact of the socio-economic background of patients with mobility dysfunctions and comorbidities, undergoing the spa and rehabilitation treatment on their health-related behaviors. The study was supposed to answer the question whether undertaking health-related behaviors is dependent on the socio-economic factors of the patients in the study. The study constitutes only one of the elements of broader analysis of health-related behaviors covering patients undergoing sanatorium treatment. Material and methods: The group included in the study consisted of 450 patients (300 women and 150 men) undergoing spa and rehabilitation treatment at the 20 Military Spa and Rehabilitation Hospital in Krynica-Zdrój. Patients were referred to sanatorium treatment mainly due to mobility dysfunctions but also due to comorbidities. Diagnostic survey was used as a research method and the author’s own questionnaire specifically designed for its purpose was applied. The questions concerned physical activity, nutrition, use of psychoactive substances and preventive examinations. The analysis of the patients’ medical documentation provided the authors with objective information about the results of laboratory tests, current health problems and ailments as well as the course of the applied treatment. Research and conclusions: The education level together with economic status of the respondents have a statistically significant impact on the form of selected physical activity in the group under study. Patients with average income went for walks more often while remedial gymnastics was often practiced by patients with monthly net income above PLN 1.500. No statistically significant correlations between the education level and economic status of the patients and the regularity of meals as well as the number of hours devoted to sleep was stated. The correlation between the frequency of stays in sanatorium and the place of residence, education level, type of work performed as well as wealth level was not found.

scholarly journals Association of Health Utility Score with Physical Activity Outcomes in Stroke Survivors

2020 ◽  
Vol 18 (1) ◽  
pp. 251
Author(s):  
Masashi Kanai ◽  
Kazuhiro P. Izawa ◽  
Hiroki Kubo ◽  
Masafumi Nozoe ◽  
Kyoshi Mase ◽  
...  
Keyword(s):  
Physical Activity ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Utility Score ◽  
Vigorous Physical Activity ◽  
Linear Regression Analysis ◽  
Health Utility ◽  
Multiple Linear Regression Analysis ◽  
Stroke Survivors ◽  
Cross Sectional

Health-related quality of life (HRQoL) after stroke tends to vary across studies or across stages of stroke. It is useful to use the health utility score to compare HRQoL across studies. Physical activity after stroke also tends to vary similarly. The purpose of the present study was to determine associations between the health utility score and physical activity outcomes in stroke survivors. This cross-sectional study recruited stroke survivors who could ambulate outside, free of assistance. We assessed the health utility score with the EuroQoL 5-Dimension 3-Level questionnaire. The physical activity outcomes were the number of steps taken and duration of moderate-to-vigorous physical activity (MVPA) as measured with an accelerometer. Multiple linear regression analyses were used to determine whether the physical activity outcomes were independently associated with the health utility score. Fifty patients (age: 68.0 years; 40 men, 10 women) were included. Multiple linear regression analysis showed the health utility score to be significantly associated with the number of steps taken (β = 0.304, p = 0.035) but not with MVPA. This is the first study to examine the association between the health utility score and objectively measured physical activity in stroke survivors. Promoting physical activity especially by increasing the number of steps taken might be a priority goal in improving a patient’s health utility score after stroke.

scholarly journals Predictors of Adolescent Depressive Symptoms

2021 ◽  
Vol 18 (9) ◽  
pp. 4508
Author(s):  
Vilija Malinauskiene ◽  
Romualdas Malinauskas
Keyword(s):  
Physical Activity ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Linear Regression ◽  
Sense Of Coherence ◽  
Linear Regression Analysis ◽  
Self Esteem ◽  
Health Complaints ◽  
Final Model ◽  
Negative Acts

The present study expands the existing literature and supplements today’s knowledge on the relationship between personal, psychosocial and lifestyle factors and depressive symptoms among adolescents. The study aimed to investigate the variety of depressive symptoms predictors—personal resources, adverse school and family, health, lifestyle-related (sense of coherence, self-esteem, school involvement, negative acts at school, family stress and violence, psychosomatic health complaints, physical activity, smoking, alcohol) as well as gender, employing hierarchical linear regression analysis in a large representative sample of adolescents (N = 2212) in Kaunas, Lithuania. Four blocks of predictors were employed in hierarchical linear regression analysis. In the final model 64.9% of depressive symptoms were explained by all the predictors. Sense of coherence was the strongest predictor of depressive symptoms (standardized regression coefficient β = −605, p < 0.001 in the first model and β = −263, p < 0.001 in the final model after adjustment for all other independent variables) and accounted for 36.6% of variance. In conclusion, this study supports the notion that depressive symptoms among adolescents have multifactorial origins with many predictors showing significant effect seizes. Therefore, high sense of coherence and self-esteem, school involvement, higher levels of physical activity would be protective and influence lower levels of depressive symptoms among adolescents. Exposure to negative acts at school and negative experiences in the family, psychosomatic health complaints, smoking would increase the probability of depressive symptoms. Girls are more prone to depression as compared to boys.

scholarly journals Socio-Economic Factors Affecting the Regional Spread and Out-break of COVID-19 in China

2021 ◽  
Author(s):  
Liren Yang ◽  
Cuifang Qi ◽  
Zixuan Yang ◽  
Li Shang ◽  
Guilan Xie ◽  
...  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Urban Population ◽  
Economic Factors ◽  
Wuhan City ◽  
Factors Affecting ◽  
Second Stage ◽  
Imported Cases ◽  
The Impact ◽  
Socio Economic Factors

Background: This study investigated the impact of socio-economic factors on the spread and outbreak of COVID-19 based on Chinese data. Methods: Cumulative confirmed cases were collected and divided into the First-stage cases cluster dominated by imported cases, and the Second-stage cases cluster dominated by secondary cases, according to the time of emergency state and Wuhan city lockdown. The linear regression was used for data analysis. Results: A total of 12,877 cases in 30 provinces were analyzed in the study. The First-stage cases cluster included 675 cases and Second-stage cases cluster included 12,202 cases. The socio-economic factors were significantly associated with the cases (P<0.05). The GDP and proportion of population moving out of Wuhan were associate with the First-stage dominated by imported cases (b>0, P<0.05). The First-stage cases cluster, proportion of population moving out of Wuhan and urban population were associate with the Second-stage dominated by secondary cases (b>0, P<0.05). Conclusion: Socio-economic factors had impacts on the spread and outbreak of COVID-19. The combination of different socio-economic indicators at different stages of the epidemic may help control the epidemic.

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