Association of adductor pollicis muscle thickness and handgrip strength with nutritional status in hospitalized individuals
Author(s) -
Talita Yoshimura da Costa,
Juliana Yukari Suganuma,
Sheilla de Oliveira Faria,
Maria Cláudia Bernardes Spexoto
Publication year - 2021
Publication title -
nutrición hospitalaria
Language(s) - English
Resource type - Journals
eISSN - 1699-5198
pISSN - 0212-1611
DOI - 10.20960/nh.03319
Subject(s) - anthropometry , medicine , malnutrition , adductor pollicis muscle , hand strength , body mass index , medical nutrition therapy , surgery , grip strength , elbow , ulnar nerve
BACKGROUNDmalnutrition is common in hospitalized patients and early diagnosis can contribute to better clinical and nutritional outcomes. Adductor pollicis muscle thickness (APMT) and handgrip strength (HGS) have been used to identify reductions in strength and muscle mass, associated or not with conventional methods.OBJECTIVEwe aimed to correlate APMT and HGS with conventional anthropometric variables in hospitalized patients, and assess their relationship with nutritional status as evaluated by the Patient-Generated Subjective Global Assessment (PG-SGA) method.METHODSa cross-sectional study was conducted in patients of both sexes admitted to a University Hospital in Brazil. APMT, HGS, and conventional measures were used for anthropometric assessment. PG-SGA was used for the assessment of nutritional status.RESULTSthe sample included 73 patients (66.9 ± 9.6 years). Most patients were admitted for surgery procedures (53.4 %) and had an adequate body mass index (BMI) (47.9 %), while according to PG-SGA most patients (67.1 %) had some degree of malnutrition (B and C). Right-hand (R) APMT was significantly correlated with corrected arm muscle area (cAMA), calf circumference (CC), and HGS. Left-hand (L) APMT was significantly correlated with cAMA, arm circumference (AC), CC, PG-SGA score, and HGS. Both HGS values (R/L) were significantly correlated with CC, PG-SGA score, and APMT.CONCLUSIONSAPMT and HGS were significantly correlated with the conventional anthropometric measure CC. In addition, the significant correlation observed between HGS, APMT, and PG-SGA highlights them as complementary assessments of nutritional status in clinical practice and for research purposes.
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