Marica Giardini

Dr. Marica Giardini

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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2017 in Gait & Posture
Verified
Journal Article
Closed access
PMPaola Morlino
Paola Morlino
BBBruno Balbi
Bruno Balbi
SGSimone Guglielmetti
Simone Guglielmetti
MGMarica Giardini
Marica Giardini
MGMargherita Grasso
Margherita Grasso
Antonio NardoneAntonio Nardone
Antonio Nardone

7 February 2023 in Disability and Rehabilitation
Verified
Journal Article
Open access
Ilaria ArcolinIlaria Arcolin
Ilaria Arcolin
MGMarco Godi
Marco Godi
MGMarica Giardini
Marica Giardini
SGSimone Guglielmetti
Simone Guglielmetti
LBLucia Bellotti
Lucia Bellotti
SCStefano Corna
Stefano Corna
To investigate the responsiveness and minimal clinically important difference (MCID) of the Functional Independence Measure (FIM) from a clinician’s perspective in hip-fractured elderly undergoing ...

3 June 2019 in BioMedical Engineering OnLine
Verified
Journal Article
Open access
PDF file
Ilaria ArcolinIlaria Arcolin
Ilaria Arcolin
SCStefano Corna
Stefano Corna
MGMarica Giardini
Marica Giardini
AGAndrea Giordano
Andrea Giordano
Antonio NardoneAntonio Nardone
Antonio Nardone
MGMarco Godi
Marco Godi
Gait impairment is a risk factor for falls in patients with Parkinson’s disease (PD). Gait can be conveniently assessed by electronic walkways, but there is need to select which spatiotemporal gait variables are useful for assessing gait in PD. Existing models for gait variables developed in healthy subjects and patients with PD show some methodological shortcomings in their validation through exploratory factor analysis (EFA), and were never confirmed by confirmatory factor analysis (CFA). The aims of this study were (1) to create a new model of gait for PD through EFA, (2) to analyze the factorial structure of our new model and compare it with existing models through CFA. From the 37 variables initially considered in 250 patients with PD, 10 did not show good-to-excellent reliability and were eliminated, while further 19 were eliminated after correlation matrix and Kaiser–Meyer–Olkin measure. The remaining eight variables underwent EFA and three factors emerged: pace/rhythm, variability, and asymmetry. Structural validity of our new model was then examined with CFA, using the structural equation modeling. After some modifications, suggested by the Modification Indices, we obtained a final model that showed an excellent fit. In contrast, when the structure of previous models of gait was analyzed, no model achieved convergence with our sample of patients. Our model for spatiotemporal gait variables of patients with PD is the first to be developed through an accurate EFA and confirmed by CFA. It contains eight gait variables divided into three factors and shows an excellent fit. Reasons for the non-convergence of other models could be their inclusion of highly inter-correlated or low-reliability variables or could be possibly due to the fact that they did not use more recent methods for determining the number of factors to extract.


1 November 2020 in Clinical Rehabilitation
Verified
Journal Article
Closed access
PDF file
SCStefano Corna
Stefano Corna
Ilaria ArcolinIlaria Arcolin
Ilaria Arcolin
MGMarica Giardini
Marica Giardini
LBLucia Bellotti
Lucia Bellotti
MGMarco Godi
Marco Godi
To determine the feasibility and safety of aerobic training with an arm crank ergometer and its effectiveness in improving functional capacity and gait in patients with recent hip fracture. Randomized, controlled, assessor-blinded pilot study, with intention-to-treat analysis. Inpatients, rehabilitation department. 40 patients with hip fracture surgically treated. Training group performed aerobic exercise with an arm crank ergometer (15 sessions, 30 minutes/day) at an intensity of 64% to 76% of maximum heart rate, in addition to conventional inpatient rehabilitation. Primary outcome was the feasibility (including eligibility rate, recruitment rate, number of drop-outs and adverse events, adherence). Secondary measures were the Timed Up and Go test, ability to walk independently, muscle torque of knee extensors of fractured and non-fractured leg, Functional Independence Measure. Mostly due to pre-existing disability and fracture type, only 40/301 (13%) patients were eligible (age 84.6 ± 7.6 years, 75% female); all agreed to participate and 90% completed the trial, without adverse events. Adherence to aerobic exercise was good, with high attendance at sessions (93%), a strong compliance to exercise duration (95%) but lower compliance to the prescribed intensity (73%). After the program, more patients were able to walk independently in the training group (n = 18) compared to control (n = 13) (P < 0.05). Also the muscle torque of fractured leg knee extensors was higher in the training group (P < 0.05). Aerobic training in addition to conventional rehabilitation after a hip fracture is feasible and safe and it was effective in improving gait performance and strength of fractured leg. NCT04025866.