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Wyszukujesz frazę "middle-aged population" wg kryterium: Wszystkie pola


Wyświetlanie 1-3 z 3
Tytuł:
Poziom aktywności fizycznej a gęstość mineralna kości w odcinku lędźwiowym kręgosłupa u osób w wieku średnim
Level of physical activity and bone mineral density of the lumbar spine among the middle-aged population
Autorzy:
Duda, B.
Wojtowicz, E.
Powiązania:
https://bibliotekanauki.pl/articles/4572.pdf
Data publikacji:
2014
Wydawca:
Instytut Medycyny Wsi
Źródło:
Medycyna Ogólna i Nauki o Zdrowiu; 2014, 20(49), 3
2083-4543
Pojawia się w:
Medycyna Ogólna i Nauki o Zdrowiu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Lipid pattern in middle-aged inhabitants of the Lower Silesian region of Poland. The PURE Poland sub-study
Autorzy:
Skoczynska, A.
Wojakowska, A.
Turczyn, B.
Zatonska, K.
Wolyniec, M.
Regulska-Ilow, B.
Ilow, R.
Szuba, A.
Zatonski, W.
Powiązania:
https://bibliotekanauki.pl/articles/50752.pdf
Data publikacji:
2013
Wydawca:
Instytut Medycyny Wsi
Tematy:
lipid pattern
serum lipid
HDL-cholesterol
cholesterol
HDL-cholesterol fraction
middle-aged population
inhabitant
urban area
rural inhabitant
rural woman
urban woman
Lover Silesia
Silesian region
Polska
Opis:
Introduction. A decreased serum high density lipoprotein-cholesterol (HDL-C) is a strong predictor of cardiovascular risk. However, total HDL is a very dynamic, changeable fraction, and does not perform the function of atherosclerosis markers. In the presented study, the pattern of serum lipids, including HDL-C subclasses (HDL2- and HDL3-cholesterol), in a middleaged Polish Lower Silesia population was defined. Materials and method. A group of 746 males and 1,298 females, aged 35–70, were investigated. All subjects were participants in the PURE study. Mean serum lipid levels were determined for groups selected on the basis of gender, age, cigarette smoking, drinking alcohol and place of residence (urban/rural area). The data were analyzed using STATISTICA 6.0 PL. Results. In multiple linear regression models, age was the most important independent and consistent predictor of total cholesterol (TC) and LDL cholesterol (LDL-C). The prevalence of low HDL-C (threshold 40 mg/dL in males, 50 mg/dL in females) was 16.5% for males and 22.6% for females. This gender-conditioned difference in the prevalence of low HDL-C was greater in rural (20.0% vs. 30.9%, respectively, in males and females) in comparison to urban (14.4% vs. 17.1%) areas. The lipid pattern was significantly worse in rural than in urban females. Female rural inhabitants showed higher triglycerides (TG) and lower HDL cholesterol (total and contained in subclasses HDL2 and HDL3). Simultaneously, a higher BMI, higher percent of smokers and drinkers and lower age of smoking female rural inhabitants in comparison to urban females were estimated. In the total population, cigarette smoking or drinking alcohol were associated with significant increases in TC, LDL-C and TG, also with decreased HDL-C (smoking) or HDL2-C (drinking). Two-way analysis of variance showed the existence of interaction between these risk factors in their influence on HDL-C and HDL3-C. Conclusion. In the middle-aged population of the Lower Silesian region in Poland the place of residence (urban/rural area) had a significant impact on the lipid pattern. This pattern is more atherogenic in rural women than in urban women.
Źródło:
Annals of Agricultural and Environmental Medicine; 2013, 20, 2
1232-1966
Pojawia się w:
Annals of Agricultural and Environmental Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Patterns and correlates of physical activity among middle-aged employees: A population-based, cross-sectional study
Autorzy:
Jurakic, Danijel
Golubić, Antonija
Pedisic, Zeljko
Pori, Maja
Powiązania:
https://bibliotekanauki.pl/articles/2178857.pdf
Data publikacji:
2014-06-21
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
employment
exercise
lifestyle
middle-aged
motor activity
Socio-economic factors
Opis:
Objectives: The purpose of this study was to determine the level, pattern and correlates (socio-demographic, lifestyle and work-related) of physical activity among middle-aged employees in Croatia. Material and Methods: In this cross-sectional study the data were collected using a household interview on a random sample of 766 middle-aged employees (52% female) living in Croatia. The International Physical Activity Questionnaire (IPAQ-long) was used to assess physical activity. An additional questionnaire was used to collect data on socio-demographic, lifestyle and work-related correlates. Results: The median (95% CI) total physical activity for the whole sample was 78.7 (69.1-88.3) MET-hours/week. Most physical activity was accumulated in the domain of work (26.4 (20.3-32.5) MET-hours/week) or in domestic activities (19.2(17.8-20.7) MET-hours/week), whilst a significantly lower physical activity was found in the transport (3.3 (2.9-3.7) MET-hours/week) and leisure-time domains (6.5 (5.7-7.3) MET-hours/week). The multiple regression analysis showed an inverse relationship between educational level and the size of settlements with the domestic-related and total physical activity (β range: -0.11 to -0.22; p < 0.01). Among lifestyle correlates, only alcohol consumption was positively related to the total physical activity (β = 0.12; p < 0.01), while the perceived level of stress outside work was the only one, which was inversely associated with the work-related (β = -0.09; p < 0.01) and leisure-time physical activity (β = -0.10; p < 0.01). Conclusions: Middle-aged employees in Croatia accumulate most of their daily physical activity in the work and domestic domains. Analysis of the relationship between physical activity and potential socio-demographic, lifestyle, and work-related correlates indicated that physical activity promotional activities should be primarily focused on males, employees living in smaller settlements and those with higher educational levels. The correlates of physical activity among middle-aged employees seem to be domain-specific. Therefore, future studies in this area should consider assessing physical activity in each domain separately.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2014, 27, 3; 487-497
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
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