Diabetes mellitus, malnutrition, and sarcopenia: The bond is not explained by bioelectrical impedance analysis in older adults.
AC: Arm Circumference
ASM: Appendicular Skeletal Muscle Mass
BIA: Bioelectrical Impedance Analysis
BMI: Body Mass Index
Bioelectrical Impedance Analysis (BIA)
C.I.: Confidence Interval
CC: Calf Circumference
DM: Diabetes Mellitus
Diabetes Mellitus (DM)
ECW: Extra-Cellular Water
HDL: High-Density Lipoproteins
HbA1c: glycated hemoglobin
LDL: Low-Density Lipoproteins
MM: Total Muscle Mass
MNA: Mini Nutritional Assessment
SD: Standard Deviation
TBW: Total Body Water
WC: Waist Circumference
elderly
malnutrition
sarcopenia
Journal
Journal of medicine and life
ISSN: 1844-3117
Titre abrégé: J Med Life
Pays: Romania
ID NLM: 101477617
Informations de publication
Date de publication:
Aug 2023
Aug 2023
Historique:
received:
05
06
2023
accepted:
10
07
2023
medline:
1
12
2023
pubmed:
29
11
2023
entrez:
29
11
2023
Statut:
ppublish
Résumé
As people age, their risk of diabetes mellitus (DM) and sarcopenia increases due to the decline in muscle mass and strength. Bioelectrical impedance analysis (BIA) is a method used to detect changes in body composition. The primary aim of the study was to determine the distribution of BIA variables among a group of non-DM people and two groups of patients with controlled and uncontrolled DM. The secondary aim was to establish the independent association between BIA-derived data, lipidic assets, and the prevalence of metabolic syndromes with DM. This study included a total of 235 participants who were categorized into three groups based on the presence of diabetes mellitus (DM) and their glycated hemoglobin (HbA1c) levels: non-DM, controlled DM (HbA1c≤7.0%), and uncontrolled DM (HbA1c>7.0%). Waist circumference (p=0.005), bone (p<0.001), muscular (p<0.001), and appendicular skeletal mass (p<0.001) were lower in the non-DM group, while sarcopenic risk (p<0.001), total cholesterol (p<0.001), and LDL (p<0.001), were higher. Grip strength (p<0.001), visceral fat (p=0.01), and phase angle (p=0.04) were significantly lower in non-DM than uncontrolled DM patients, as well as the number of drugs taken (p=0.014). A multivariate analysis highlighted that LDL (coefficient -0.006, p=0.01) was negatively associated, while bone mass (coefficient 0.498, p=0.0042) was positively associated with DM uncontrol. Our study shows that BIA may not be the ideal tool for distinguishing between elderly individuals with and without DM, as it can be affected by numerous covariates, including potential differences in glucometabolic and cardiovascular control.
Identifiants
pubmed: 38024829
doi: 10.25122/jml-2023-0173
pii: JMedLife-16-1170
pmc: PMC10652670
doi:
Substances chimiques
Glycated Hemoglobin
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1170-1177Informations de copyright
©2023 JOURNAL of MEDICINE and LIFE.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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