Carsten Juergens, Andreas P Redecker
Basic Geo-Spatial Data Literacy Education for Economic Applications
KN - journal of cartography and geographic information
study aimed verify prevalence sarcopenia associations sociodemographic clinical psychological factors communitydwelling older adults randomized crosssectional study extracted probabilistic cluster conducted individuals aged 65 years older residing community sarcopenia defined according criteria european working group sarcopenia older people ewgsop2 body composition assessed using dualenergy xray absorptiometry dxa associations analyzed using networks based mixed graphical models predictability indices estimated networks assessed using proportion explained variance numerical variables proportion correct classification categorical variables study included 278 participants majority female 61 prevalence sarcopenia 3957 among sarcopenia 67 women 33 men network model age race education family income bone mass depression cardiovascular disease diabetes total cholesterol levels rheumatism associated sarcopenia covariates demonstrated high accuracy 629 predicting sarcopenia categories prevalence sarcopenia high especially women addition network analysis proved useful visualizing complex relationships sociodemographic clinical factors sarcopenia results suggest early screening sarcopenia appropriate treatment common geriatric syndrome older adults brazil