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Localization, Identification, and Excision of Murine Adipose Depots
Published on: December 4, 2014
Sociodemographic and Health Determinants of Adipose Tissue Distribution in a Local Community from Eastern Poland: A
Maciej Polak1, Grzegorz Józef Nowicki2, Magdalena Kozela1
1Department of Epidemiology and Population Studies, Medical College, Jagiellonian University, Skawińska 8 Str., 31-066 Krakow, Poland.
Abstract:
Objectives: The aim of this study was to assess the distribution of abdominal volume index (AVI) conicity index (C-Index) and weight adjusted waist index (WWI) attributes by sociodemographic and health characteristics in apparently healthy individuals (residents of the Janów Lubelski district in the eastern Poland). Additionally, the study examined whether sociodemographic and health characteristics differentiate the distribution of adipose tissue indicators in individuals with a normal body weight, defined as a BMI of less than 25 kg/m2. Methods: A total of 3752 apparently healthy respondents participated in the cross-sectional study. In order to determine the participants' adipose tissue distribution, professionally trained nurses measured their anthropometric indices and interviewed them to assess the sociodemographic and health variables. Results: The study group's mean values for anthropometric indices related to central adipose tissue distribution were as follows: C-Index 1.26 ± 0.088, AVI 18.28 ± 4.96 and WWI 10.63 ± 0.73. The three indices examined in multivariable analyses showed a significant relationship with age, gender, place of residence, education, living alone, smoking status, alcohol consumption and comorbidities (diabetes, hypertension and hypercholesterolemia). Conclusions: The study findings demonstrate a significant relationship between the level of specific anthropometric indices related to central adipose tissue distribution and sociodemographic and health-related variables. The employment of certain anthropometric indices related to central adipose tissue distribution, which are derived from waist circumference, can be beneficial in primary healthcare by potentially facilitating early prevention of cardiometabolic diseases.
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