Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study

Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function. Objectives: To assess the association of smoking with cardiometabolic traits and kidney functio...

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Main Authors: Simona Georgiana Popa, Maria Moţa, Florin Dumitru Mihălţan, Adina Popa, Ioana Munteanu, Eugen Moţa, Cristian Serafinceanu, Cristian Guja, Nicolae Hâncu, Doina Catrinoiu, Radu Lichiardopol, Cornelia Bala, Bogdan Mihai, Gabriela Radulian, Gabriela Roman, Romulus Timar
Format: Article
Language:English
Published: Taylor & Francis Group 2017-10-01
Series:European Journal of General Practice
Subjects:
Online Access:http://dx.doi.org/10.1080/13814788.2017.1324844
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spelling doaj-784b867778134a96a922f0b81cab41dc2020-11-24T23:20:36ZengTaylor & Francis GroupEuropean Journal of General Practice1381-47881751-14022017-10-0123116517110.1080/13814788.2017.13248441324844Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional studySimona Georgiana Popa0Maria Moţa1Florin Dumitru Mihălţan2Adina Popa3Ioana Munteanu4Eugen Moţa5Cristian Serafinceanu6Cristian Guja7Nicolae Hâncu8Doina Catrinoiu9Radu Lichiardopol10Cornelia Bala11Bogdan Mihai12Gabriela Radulian13Gabriela Roman14Romulus Timar15University of Medicine and Pharmacy of CraiovaUniversity of Medicine and Pharmacy of CraiovaPneumoftiziology Institute ‘Marius Nasta’ BucharestClinical Emergency Hospital of CraiovaPneumoftiziology Institute ‘Marius Nasta’ BucharestUniversity of Medicine and Pharmacy of CraiovaUniversity of Medicine and Pharmacy ‘Carol Davila’ BucharestUniversity of Medicine and Pharmacy ‘Carol Davila’ BucharestUniversity of Medicine and Pharmacy ‘Iuliu Haţieganu’ Cluj-Napoca’Ovidius’ University ConstanţaUniversity of Medicine and Pharmacy ‘Carol Davila’ BucharestUniversity of Medicine and Pharmacy ‘Iuliu Haţieganu’ Cluj-NapocaUniversity of Medicine and Pharmacy ‘Gr. T. Popa’ IaşiUniversity of Medicine and Pharmacy ‘Carol Davila’ BucharestUniversity of Medicine and Pharmacy ‘Iuliu Haţieganu’ Cluj-NapocaUniversity of Medicine and Pharmacy ‘Victor Babeş’ TimişoaraBackground: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function. Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study. Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires. Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m2, P <0.001) in women and higher triglycerides (170.7 ± 129.8 versus 144.3 ± 94.2 mg/dl, P = 0.007), glomerular filtration rate (97.6 ± 17 versus 90.3 ± 18 ml/min/1.73 m2, P < 0.001) and lower HDL-cholesterol (48 ± 15.5 versus 50.4 ± 14.1 mg/dl, P = 0.002) in men. Active smoking was associated with hypercholesterolaemia [OR: 1.40 (95% CI: 1.01–1.96), P = 0.04] and low HDL-cholesterolaemia [OR: 1.39 (95% CI: 1.01–1.91), P = 0.04] and negatively associated with overweight/obesity [OR: 0.67 (95% CI: 0.48–0.94), P = 0.02]. Male former smokers had higher prevalence of abdominal obesity (82.4% versus 76.4%, P = 0.02), hypertriglyceridaemia (43.6% versus 35.6%, P = 0.01), hypertension (64% versus 56.4%, P = 0.01) and ischaemic vascular disease (40.5% versus 30.9%, P = 0.003) than male non-smokers. Conclusion: The PREDATORR study showed a high prevalence of smoking in the adult Romanian population providing data on the association of smoking with cardiometabolic traits.http://dx.doi.org/10.1080/13814788.2017.1324844Epidemiologysmokingcardiometabolic risk factorsPREDATORR study
collection DOAJ
language English
format Article
sources DOAJ
author Simona Georgiana Popa
Maria Moţa
Florin Dumitru Mihălţan
Adina Popa
Ioana Munteanu
Eugen Moţa
Cristian Serafinceanu
Cristian Guja
Nicolae Hâncu
Doina Catrinoiu
Radu Lichiardopol
Cornelia Bala
Bogdan Mihai
Gabriela Radulian
Gabriela Roman
Romulus Timar
spellingShingle Simona Georgiana Popa
Maria Moţa
Florin Dumitru Mihălţan
Adina Popa
Ioana Munteanu
Eugen Moţa
Cristian Serafinceanu
Cristian Guja
Nicolae Hâncu
Doina Catrinoiu
Radu Lichiardopol
Cornelia Bala
Bogdan Mihai
Gabriela Radulian
Gabriela Roman
Romulus Timar
Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
European Journal of General Practice
Epidemiology
smoking
cardiometabolic risk factors
PREDATORR study
author_facet Simona Georgiana Popa
Maria Moţa
Florin Dumitru Mihălţan
Adina Popa
Ioana Munteanu
Eugen Moţa
Cristian Serafinceanu
Cristian Guja
Nicolae Hâncu
Doina Catrinoiu
Radu Lichiardopol
Cornelia Bala
Bogdan Mihai
Gabriela Radulian
Gabriela Roman
Romulus Timar
author_sort Simona Georgiana Popa
title Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
title_short Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
title_full Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
title_fullStr Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
title_full_unstemmed Associations of smoking with cardiometabolic profile and renal function in a Romanian population-based sample from the PREDATORR cross-sectional study
title_sort associations of smoking with cardiometabolic profile and renal function in a romanian population-based sample from the predatorr cross-sectional study
publisher Taylor & Francis Group
series European Journal of General Practice
issn 1381-4788
1751-1402
publishDate 2017-10-01
description Background: The impact of smoking on morbidity is well known, but in Romania, limited data are available regarding the smoking prevalence and relationship with cardiometabolic profile and kidney function. Objectives: To assess the association of smoking with cardiometabolic traits and kidney function, in a Romanian population-based sample from the PREDATORR study. Methods: PREDATORR was an epidemiological cross-sectional study. Between 2012 and 2014, participants were randomly selected from the lists of general practitioners and enrolled if they were aged 20 to 79 years, born and living in the past 10 years in Romania. Sociodemographic and lifestyle characteristics were collected through interviewer-administered questionnaires. Results: Overall, 2704 participants were included in the analysis, 18% of them being current smokers and 30.8% former smokers. Current smokers compared to non-smokers had higher total cholesterol (220.6 ± 50.4 versus 213.9 ± 86.8 mg/dl, P = 0.017), LDL-cholesterol (137.8 ± 45.2 versus 130.7 ± 83.7 mg/dl, P = 0.004) and glomerular filtration rate (96.9 ± 16.8 versus 90.7 ± 19.1 ml/min/1.73 m2, P <0.001) in women and higher triglycerides (170.7 ± 129.8 versus 144.3 ± 94.2 mg/dl, P = 0.007), glomerular filtration rate (97.6 ± 17 versus 90.3 ± 18 ml/min/1.73 m2, P < 0.001) and lower HDL-cholesterol (48 ± 15.5 versus 50.4 ± 14.1 mg/dl, P = 0.002) in men. Active smoking was associated with hypercholesterolaemia [OR: 1.40 (95% CI: 1.01–1.96), P = 0.04] and low HDL-cholesterolaemia [OR: 1.39 (95% CI: 1.01–1.91), P = 0.04] and negatively associated with overweight/obesity [OR: 0.67 (95% CI: 0.48–0.94), P = 0.02]. Male former smokers had higher prevalence of abdominal obesity (82.4% versus 76.4%, P = 0.02), hypertriglyceridaemia (43.6% versus 35.6%, P = 0.01), hypertension (64% versus 56.4%, P = 0.01) and ischaemic vascular disease (40.5% versus 30.9%, P = 0.003) than male non-smokers. Conclusion: The PREDATORR study showed a high prevalence of smoking in the adult Romanian population providing data on the association of smoking with cardiometabolic traits.
topic Epidemiology
smoking
cardiometabolic risk factors
PREDATORR study
url http://dx.doi.org/10.1080/13814788.2017.1324844
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