P
P. Maietta Latessa
Researcher at University of Bologna
Publications - 4
Citations - 10
P. Maietta Latessa is an academic researcher from University of Bologna. The author has contributed to research in topics: Aerobic exercise & Postural Balance. The author has an hindex of 1, co-authored 4 publications receiving 2 citations.
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Journal ArticleDOI
Consensus paper on postural dysfunction: recommendations for prevention, diagnosis and therapy.
Raoul Saggini,G P Anastasi,S Battilomo,P. Maietta Latessa,G Costanzo,F Di Carlo,Felice Festa,G Giardinelli,F Macrì,L Mastropasqua,M Nardone,G Nicoletti,A Orsini,M Pastorelli,R Pellegrino,M Trevisan,L La Mesa,A M Le Pera,M G Privitera,G Ralli,Ciro Villani,B Bricot,R G Davidson,A Hassdenteufel,Z M Hawamdeh,G J Kleinrensink,E Matheron,V L Stoev,S Stratulat,S Tiron,P Villeneuve,Teresa Paolucci,Rosa Grazia Bellomo +32 more
TL;DR: In this article, the authors provide recommendations based on scientific evidence, clinical practice, and consensus between experts concerning the prevention, diagnosis, and treatment of postural dysfunction at the three stages of life as the developmental age, adult age, and old age > 65 years and follow the "National Guidelines on Classification and measuring of Posture and its Dysfunctions" per the Italian Ministry of Health (December 2017).
Journal ArticleDOI
Predictive equation for assessing appendicular lean soft tissue mass using bioelectric impedance analysis in older adults: Effect of body fat distribution.
Stefania Toselli,Francesco Campa,Catarina N Matias,Bruna Spolador de Alencar Silva,Vanessa Ribeiro dos Santos,P. Maietta Latessa,Luis Alberto Gobbo +6 more
TL;DR: In this article, the authors developed and cross-validated a BIA-based equation for estimating ALST with dual-energy X-ray absorptiometry (DXA) or bioimpedance analysis (BIA), and compared their new formula to three previously published models.
Journal ArticleDOI
Performance monitoring during isotonic leg training and analysis of movement
TL;DR: The isotonic test for monitoring performance is a good solution directly correlated to isokinetic methodology for physical training efficiency over time and can be devised by prompt analysis of movement by power-angle curves.
Journal ArticleDOI
A rapid and automated method to determine appropriate exercise parameters for tailored substrate consumption during aerobic exercise
TL;DR: This study showed that the Fatmaxwork test can be used to predict Fatmax in untrained overweight subjects and INCA is a reliable and accurate software package.