Autor: Matyja, Jakub - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: What Is Thinking with Images?
Autorzy:: Kozak, Piotr
Bielecka, Krystyna
Matyja, Jakub
Powiązania:: https://bibliotekanauki.pl/articles/2199954.pdf
Data publikacji:: 2019
Wydawca:: Projekt Avant
Tematy:: cognitive
image
mind
representation
thinking
Opis:: When one calculates whether a table will fit into the space between a wall and a cupboard, it is likely that a calculation of this sort will be carried out by forming a mental image of the table, the wall, and the cupboard. If I think about my beloved, it is quite plausible that I will bring up a mental image of the one I love. […]
Źródło:: Avant; 2019, 10, 2
2082-6710
Pojawia się w:: Avant
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: The correlation between selected anthropometric indices and BIA - based body fat measures in nursing home women aged 80+ years
Autorzy:: Zarzeczny, Ryszard
Nawrat - Szołtysik, Agnieszka
Polak, Anna
Maliszewski, Jakub
Kiełtyka, Adam
Matyja, Beata
Dudek, Magdalena
Zborowska, Joanna
Wajdman, Adam
Powiązania:: https://bibliotekanauki.pl/articles/1031977.pdf
Data publikacji:: 2016
Wydawca:: PPHU Projack Jacek Wąsik
Tematy:: Aging
Anthropometric Indices
BMI
Bioelectrical Impedance Analysis
Body Composition
Fat Mass
Older Women
Opis:: The aims of the study were to assess whether commonly used anthropometric indices are associated with body fat measures obtained by Bioel ectrical Impedance Analysis (BIA) method, and to determine the best anthropometric predictor of BIA - based body fat percentage (%Fat) and visceral fat rating (VFR) in elderly women. The sample consisted of 24 women aged 80 years and older, the residents of long - term care facilities in Upper Silesia (Poland). All women were subjected to standard anthropometric measurements including the following variables: body weight, body height, waist circumference, hip circumference and neck circumference. On the basis o f these measures Body Mass Index (BMI) as well as waist - to - hip ratio (WHR) were calculated. The subjects’ %Fat and VFR were determined by body composition analyzer TANITA BC 420MA (Japan). Pearson’s correlation coefficients were used to quantify the relati onships between variables. Stepwise multiple regression analysis with backward elimination was performed to identify possible predictors. The basic characteristics of the investigated subjects were as follows (mean±SD): age - 85.5±3.7 years; body weight - 60.4±11.6 kg; body height - 150.6±7.6 cm; BMI - 26.6±4.6 kg/m 2 ; %Fat - 31.3±9.6%; VFR - 10.7±2.5. Both of BIA - based measures significantly, positively correlated with body weight, BMI and circumferences of waist, hip and neck (r values from 0.477 to 0.835) . The multiple regression analysis for %Fat revealed that the body weight was the only variable statistically significant (r 2 =0.414; p<0.001; SEE =7.503%), and for VFR the significant β coefficients were obtained for BMI and neck circumference ( 0.625±0.133 and 0.341±0.133, respectively) ( r 2 =0.754; p<0.001; SEE =1.313). Among popular anthropometric indices of body composition in the oldest old group o f women, body weight seems to be the best predictor of body fat percentage, and VFR could be predicted by BMI along with a neck circumference.
Źródło:: Physical Activity Review; 2016, 4; 89-99
2300-5076
Pojawia się w:: Physical Activity Review
Dostawca treści:: Biblioteka Nauki

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