Association of primary dysmenorrhea with anthropometrical and socio-economic factors in Polish university students

2018 ◽  
Vol 44 (7) ◽  
pp. 1259-1267 ◽  
Author(s):  
Martyna Zurawiecka ◽  
Iwona Wronka
Keyword(s):  
University Students ◽  
Economic Factors ◽  
Primary Dysmenorrhea ◽  
Socio Economic Factors

scholarly journals Demographic and socio-economic factors influencing health inequalities in the Czech Republic

GeoScape ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 53-65
Author(s):  
Dana Hübelová ◽  
Pavel Ptáček ◽  
Tereza Šlechtová
Keyword(s):  
Czech Republic ◽  
Infant Mortality ◽  
University Students ◽  
Health Inequalities ◽  
Composite Indicator ◽  
Regional Disparities ◽  
Economic Indicators ◽  
Economic Factors ◽  
The Czech Republic ◽  
Socio Economic Factors

Abstract Health inequalities, which could be prevented by appropriate means in various areas, are generally perceived as a consequence of injustice in the society and are mostly the result of inequalities in social determinants. The main goal of this article is to determine health inequalities defined by demographic and socio-economic factors at the level of districts of the Czech Republic in the period 2007–2018(due to the specific differences in data, the Capital City of Prague region was not included). The following statistical methods were used to process the data: correlation analysis, principal component analysis, composite indicator, cluster analysis and multidimensional factor analysis. The value of the composite indicator shows a very favorable situation in the districts of Praha-východ and Praha-západ (especially high proportion of university students, low unemployment, age index, infant mortality, abortion rate and housing subsidies), and the unfavourable situation in the districts of Chomutov, Teplice and Most (especially high housing and unemployment subsidies, low rate of university students, negative migration balance, high rates of infant mortality and abortion). The results specify regional disparities of demographic and socio-economic indicators that can cause health inequalities: negative regional disparities (Most, Teplice, Děčín, Bruntál, Karviná, Ostrava-město and Jeseník districts) and positive regional disparities (Praha-západ, Praha-východ, Mladá Boleslav, Jihlava and Brno-venkov). The study presents the results of analyses based on the example of smaller territorial units (districts) and confirms the existence of regional disparities in accordance with research at the national and international level. Highlights for public administration, management and planning: • Demographic factors are connected to socio-economic environmental factors (poverty, education, social exclusion, unemployment, social security, family situation etc.) that lead to regional health inequalities. • The regional disparities of selected demographic and socio-economic indicators of the districts of the Czech Republic that cause health inequalities were specified.

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

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.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

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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