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Title: The relationship between type 2 diabetes family history, body composition and blood basal glycemia in sedentary people
Authors: Bianco, Antonino
Pomara, Francesco
Raccuglia, Margherita
Bellafiore, Marianna
Battaglia, Giuseppe
Filingeri, Davide
Paoli, Antonio
Palma, Antonio
Keywords: Type 2 diabetes
Family history
Physical exercise
Body composition
Fasting glucose level
Issue Date: 2014
Publisher: © Springer
Citation: BIANCO, A. ... et al, 2014. The relationship between type 2 diabetes family history, body composition and blood basal glycemia in sedentary people. Acta Diabetologica, 51 (1), pp. 79-84.
Abstract: The aim of this study was to verify whether there is a positive correlation between family history to type 2 diabetes mellitus and body mass and composition, and alterations in blood basal glycaemia levels in sedentary male and female. Anthropometric variables, blood parameters, body composition and body surface area were evaluated on 183 male and 237 female sedentary individuals. Participants were classified into two groups: FH(+) (family history positive) and FH(-) (familiar history negative) according to their medical history. The FH(+) group showed higher values of body mass and body surface area than FH(-) group. These differences were statistically significant (p < 0.05) for the female subgroup. When compared to the FH(-) group, FH(+) female individuals showed a significantly greater fat mass (p < 0.01) and a significantly lower free fat mass-to-fat mass ratio (FFM/FM ratio) (p < 0.05). FH(+) female individuals showed significant lower levels of basal glucose values for Kg of FFM (p < 0.05), FM (p < 0.01) and BSA (p < 0.01) than FH(-) group. The results of this study indicate that body mass and composition correlate positively to family history to type 2 diabetes. The relationship between family history and body composition is particularly evident in young FH(+) female. Thus, as family history might represent a risk factor for the development of type 2 diabetes, this could be considered as an important parameter able to predict the onset of the disease itself. This knowledge could be used to improve preventive interventions (i.e. increasing levels of physical activity) promoting healthy lifestyle.
Description: This article is Closed Access.
Version: Closed access
DOI: 10.1007/s00592-013-0502-x
URI: https://dspace.lboro.ac.uk/2134/12799
Publisher Link: http://dx.doi.org/10.1007/s00592-013-0502-x
Appears in Collections:Closed Access (Design School)

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