<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mancioppi G</submitter><funding>Regione Toscana</funding><pagination>e0287380</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10395992</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>18(8)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>This study investigates the possibility of adopting motor and cognitive dual-task (MCDT) approaches to identify subjects with mild cognitive impairment (MCI) and subjective cognitive impairment (SCI).&lt;h4>Methods&lt;/h4>The upper and lower motor performances of 44 older adults were assessed using the SensHand and SensFoot wearable system during three MCDTs: forefinger tapping (FTAP), toe-tapping heel pin (TTHP), and walking 10 m (GAIT). We developed five pooled indices (PIs) based on these MCDTs, and we included them, along with demographic data (age) and clinical scores (Frontal Assessment Battery (FAB) scores), in five logistic regression models.&lt;h4>Results&lt;/h4>Models which consider cognitively normal adult (CNA) vs MCI subjects have accuracies that range from 67% to 78%. T</pubmed_abstract><journal>PloS one</journal><pubmed_title>Mild cognitive impairment identification based on motor and cognitive dual-task pooled indices.</pubmed_title><pmcid>PMC10395992</pmcid><funding_grant_id>J44I20000760009</funding_grant_id><pubmed_authors>Manera V</pubmed_authors><pubmed_authors>Mancioppi G</pubmed_authors><pubmed_authors>Robert P</pubmed_authors><pubmed_authors>Gros A</pubmed_authors><pubmed_authors>Fiorini L</pubmed_authors><pubmed_authors>Zeghari R</pubmed_authors><pubmed_authors>Cavallo F</pubmed_authors><pubmed_authors>Rovini E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mild cognitive impairment identification based on motor and cognitive dual-task pooled indices.</name><description>&lt;h4>Objective&lt;/h4>This study investigates the possibility of adopting motor and cognitive dual-task (MCDT) approaches to identify subjects with mild cognitive impairment (MCI) and subjective cognitive impairment (SCI).&lt;h4>Methods&lt;/h4>The upper and lower motor performances of 44 older adults were assessed using the SensHand and SensFoot wearable system during three MCDTs: forefinger tapping (FTAP), toe-tapping heel pin (TTHP), and walking 10 m (GAIT). We developed five pooled indices (PIs) based on these MCDTs, and we included them, along with demographic data (age) and clinical scores (Frontal Assessment Battery (FAB) scores), in five logistic regression models.&lt;h4>Results&lt;/h4>Models which consider cognitively normal adult (CNA) vs MCI subjects have accuracies that range from 67% to 78%. T</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023</publication><modification>2025-04-04T20:48:16.699Z</modification><creation>2025-02-19T01:58:45.074Z</creation></dates><accession>S-EPMC10395992</accession><cross_references><pubmed>37531347</pubmed><doi>10.1371/journal.pone.0287380</doi></cross_references></HashMap>