Jan Brož1, Jana Malinovská1, Marisa A Nunes1, Kristýna Kučera2, Katarína Rožeková3, Kristýna Žejglicová4, Jana Urbanová5, Michael Jenšovský1, Marek Brabec6, Michala Lustigová7. 1. Department of Internal Medicine University Hospital Motol, Second Faculty of Medicine, Charles University, V Úvalu 84, 150 00 Prague, Czech Republic. 2. Arbeitsgemeinschaft der Belegärzte am Alice-Hospital, 64287 Darmstadt, Germany. 3. Department of Social Geography and Regional Development, Faculty of Science, Charles University, Albertov 6, 128 00 Prague, Czechia. 4. National Institute of Public Health, Šrobárova 48, 100 00 Prague, Czechia. 5. Center for Research of Diabetes, Metabolism and Nutrition, Ruská 97, 110 00 Prague, Czech Republic; Second Department of Internal Medicine University Hospital Královské Vinohrady and Third Faculty of Medicine, Ruská 97, 110 00 Prague, Czech Republic. 6. Institute of Computer Science, Academy of Science of the Czech Republic, v. v. i., Národní 3, 117 20 Prague, Czech Republic. 7. Department of Social Geography and Regional Development, Faculty of Science, Charles University, Albertov 6, 128 00 Prague, Czechia; National Institute of Public Health, Šrobárova 48, 100 00 Prague, Czechia. Electronic address: michala.lustigova@natur.cuni.cz.
Abstract
AIMS: The aim of this study is to establish the prevalence of diabetes (DM) and prediabetes in the Czech population aged 25-64 years and to evaluate the relationships with various cardiometabolic, sociodemographic, and lifestyle risk factors. METHODS: This was an epidemiological study with a stratified, crosssectional, random sampling design. Sociodemographic, lifestyle, and anamnestic data were collected through interviewer-administered questionnaires, medical examination, and biochemical assays. RESULTS: Among the 1189 participants, 114 were diagnosed with DM (9.6%), 330 with prediabetes (27.8%) and 745 were non-diabetes/non-prediabetes individuals (62.7%). Logistic regression analysis showed that overweight, general and abdominal obesity, hypertension, and lower level of HDL (increased risk) significantly increased the risk of both prediabetes and DM, while living in the cities diminished risk of DM. Among lifestyle variables the significant increased risk of prediabetes and DM was found for smokers and ex-smokers. In other lifestyle variables (marijuana lifetime prevalence, physical activity and frequency of alcohol drinking) the significantly higher or lower risk for prediabetes or DM was not found. CONCLUSIONS: The study shows a high prevalence of DM and prediabetes in the Czech population of age between 25 and 64, providing data on their association with several risk factors.
AIMS: The aim of this study is to establish the prevalence of diabetes (DM) and prediabetes in the Czech population aged 25-64 years and to evaluate the relationships with various cardiometabolic, sociodemographic, and lifestyle risk factors. METHODS: This was an epidemiological study with a stratified, crosssectional, random sampling design. Sociodemographic, lifestyle, and anamnestic data were collected through interviewer-administered questionnaires, medical examination, and biochemical assays. RESULTS: Among the 1189 participants, 114 were diagnosed with DM (9.6%), 330 with prediabetes (27.8%) and 745 were non-diabetes/non-prediabetes individuals (62.7%). Logistic regression analysis showed that overweight, general and abdominal obesity, hypertension, and lower level of HDL (increased risk) significantly increased the risk of both prediabetes and DM, while living in the cities diminished risk of DM. Among lifestyle variables the significant increased risk of prediabetes and DM was found for smokers and ex-smokers. In other lifestyle variables (marijuana lifetime prevalence, physical activity and frequency of alcohol drinking) the significantly higher or lower risk for prediabetes or DM was not found. CONCLUSIONS: The study shows a high prevalence of DM and prediabetes in the Czech population of age between 25 and 64, providing data on their association with several risk factors.
Authors: Dana Jaksicova; Lukas Novak; Vit Husek; Peter Tavel; Klara Malinakova Journal: Int J Environ Res Public Health Date: 2021-09-22 Impact factor: 3.390
Authors: Iuliia Pavlovska; Anna Polcrova; Jeffrey I Mechanick; Jan Brož; Maria M Infante-Garcia; Ramfis Nieto-Martínez; Geraldo A Maranhao Neto; Sarka Kunzova; Maria Skladana; Jan S Novotny; Hynek Pikhart; Jana Urbanová; Gorazd B Stokin; Jose R Medina-Inojosa; Robert Vysoky; Juan P González-Rivas Journal: Nutrients Date: 2021-07-08 Impact factor: 6.706