scholarly journals Impact of Socio-economic Factors on the Elderly's Satisfaction with Life -Mediating Effect of the Elderly's Leisure Participation-

2016 ◽  
Vol 16 (6) ◽  
pp. 323-333
Author(s):  
Myeung-Sook Jeon ◽  
Myeung-Ok Tae
2008 ◽  
Vol 71 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Maria Kaczmarek ◽  
Magdalena Skrzypczak

Variation in biological status among Polish males and underlying socio-economic factorsThe main purpose of this study was to evaluate the socio-economic and lifestyle factors associated with biological status of Polish men. Data were collected during a cross-sectional survey carried out in Poznań and several localities in Western Poland, between 2000 and 2002. The sample consisted of 2509 men ranging from 30 to 90 years of age. Biological status was expressed in terms of functional-biological age (BA) computed as a composite z-score of 11 biomarkers according to the method proposed by Borkan and Norris [1980a], and physiological reserve index (PR) developed by Goffauxet al.[2005]. The average biological age profiles (BAP) were compared in several subgroups of participants. The subgroups were categorized based on demographic, socio-economic and lifestyle characteristics. It was found that values of systolic and diastolic blood pressure, BMI, physical and emotional aging indicators and perceived satisfaction with life were significantly associated with most of the study factors, except for smoking habit and education level. The multivariate logistic regression models revealed that two factors, financial situation and physical activity, were significantly associated with the physiological reserve index estimation. The study confirmed the role of the socio-economic and lifestyle factors likely to play in men's biological status and aging rates.


2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.


2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.


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