1
|
Sadeghi Y, Naghash M, Poustchi H, Alvand S, Gandomkar A, Molavi Vardanjani H, Malekzadeh F, Boffetta P, Abnet CC, Freedman ND, Malekzadeh R, Etemadi A. Prevalence and Incidence of Metabolic Syndrome and Its Components Among Waterpipe Users. Int J Public Health 2024; 69:1607156. [PMID: 39056061 PMCID: PMC11269743 DOI: 10.3389/ijph.2024.1607156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/26/2024] [Indexed: 07/28/2024] Open
Abstract
Objectives To determine the associations between waterpipe use, duration, and intensity of use with prevalence and incidence of metabolic syndrome and its components (increased waist circumference, triglycerides, fasting glucose, blood pressure and decreased high-density lipoprotein cholesterol). Methods We conducted cross-sectional and prospective analyses using data from the Pars Cohort Study in southern Iran, encompassing 9,264 participants at the baseline, and 5,002 randomly selected in a repeated follow-up. We used multivariate logistic regression models adjusted for age, sex, education, wealth score, physical activity and cigarette pack-years to report odds ratios (OR) and 95% confidence intervals (CI). Results Among 9,264 participants, 3,119 (33.7%) had metabolic syndrome, and 3,482 (37.6%) had ever smoked waterpipe, with both more common in women than in men. In adjusted models, former waterpipe use was significantly associated with prevalence (OR = 1.43, 95% CI: 1.23-1.68) and incidence (OR = 1.57, 95% CI: 1.19-2.06) of the metabolic syndrome while current waterpipe use was not. Past use was associated with increased risk in all components of metabolic syndrome; current use was associated with increases in all except high blood glucose and hypertension. Past waterpipe users had higher waterpipe use intensity (before quitting) in comparison with current users (2.3 vs. 2.0 waterpipes per day, p < 0.01) and had started waterpipe smoking at a younger age (27.2 vs. 30.1 years, p < 0.01). Conclusion Waterpipe use was associated with metabolic syndrome and its components, especially among former users potentially due to higher intensity and earlier initiation of use.
Collapse
Affiliation(s)
- Yasaman Sadeghi
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdokht Naghash
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Poustchi
- Liver and Pancreaticobilliary Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Saba Alvand
- Liver and Pancreaticobilliary Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdullah Gandomkar
- Non-Communicable Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hossein Molavi Vardanjani
- Medical Doctorate-Master of Public Health (MD-MPH) Program, School of Medicine, Research Center for Traditional Medicine and History of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Malekzadeh
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Paolo Boffetta
- Cancer Center, Stony Brook Medicine, Stony Brook, NY, United States
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Christian C. Abnet
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Neal D. Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Arash Etemadi
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, United States
| |
Collapse
|
2
|
Lee TL, Hsuan CF, Wu CC, Hung WC, Tsai IT, Wei CT, Yu TH, Lu IC, Chung FM, Lee YJ, Lu YC. Association between Triglyceride Glucose Index and Corrected QT Prolongation in Chinese Male Steelworkers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:4020. [PMID: 33921213 PMCID: PMC8069503 DOI: 10.3390/ijerph18084020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/06/2021] [Accepted: 04/08/2021] [Indexed: 01/08/2023]
Abstract
Objectives: Increased triglyceride glucose (TyG) index appears to be linked to carotid and coronary atherosclerosis and calcifications and possesses an elevated future risk of developing cardiovascular disease. Corrected QT (QTc) interval prolongation is associated with ventricular arrhythmias and sudden cardiac death, and a high prevalence of prolonged QTc interval was previously reported in blue-collar workers. The purpose of this study was to find the possible causal inter-relationship between TyG index and QTc interval in a large population of Chinese male steelworkers. Methods: A total of 3189 male workers from two steel plants were enrolled. They responded to a cross-sectional questionnaire on basic attributes and lifestyle, including sleep patterns. All workers in the two plants underwent periodic health checkups, including twelve-lead electrocardiography. Structural equation modeling (SEM) was used to assess the direct and indirect effects of TyG index on QTc interval. Results: With increasing TyG index tertile, the male steelworkers had an increased QTc interval. Applying multivariate analysis, TyG index was associated independently with the odds of QTc prolongation (adjusted odds ratio = 2.73, 95% confidence interval = 1.39-5.24, p = 0.004). SEM revealed that TyG index, hypertension, obesity, lifestyle, white blood cell (WBC) count, and liver function had statistically significant direct effects on QTc interval. Furthermore, TyG index also had an indirect effect on QTc interval through hypertension, obesity, WBC count, and liver function. Moreover, lifestyle had an indirect effect on QTc interval through TyG index. The final model explained 14% of the variability in QTc interval. Conclusions: An increased TyG index was associated with QTc interval prolongation in this study, and SEM delineated possible causal pathways and inter-relationships of the risk factors contributing to the occurrence of QTc prolongation among Chinese male steelworkers.
Collapse
Affiliation(s)
- Thung-Lip Lee
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
| | - Chin-Feng Hsuan
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
- Division of Cardiology, Department of Internal Medicine, E-Da Dachang Hospital, Kaohsiung 80794, Taiwan
| | - Cheng-Ching Wu
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
| | - Wei-Chin Hung
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
| | - I-Ting Tsai
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
- Department of Emergency, E-Da Hospital, Kaohsiung 82445, Taiwan
| | - Ching-Ting Wei
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
- Division of General Surgery, Department of Surgery, E-Da Hospital, Kaohsiung 82445, Taiwan
- Department of Biomedical Engineering, I-Shou University, Kaohsiung 82445, Taiwan
- Department of Electrical Engineering, I-Shou University, Kaohsiung 82445, Taiwan
| | - Teng-Hung Yu
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
| | - I-Cheng Lu
- Department of Occupational Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan;
| | - Fu-Mei Chung
- Division of Cardiology, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan; (T.-L.L.); (C.-F.H.); (C.-C.W.); (W.-C.H.); (T.-H.Y.); (F.-M.C.)
| | - Yau-Jiunn Lee
- Lee’s Endocrinologic Clinic, Pingtung 90000, Taiwan;
| | - Yung-Chuan Lu
- School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung 82445, Taiwan;
- Division of Endocrinology and Metabolism, Department of Internal Medicine, E-Da Hospital, Kaohsiung 82445, Taiwan
| |
Collapse
|
3
|
Park S, Han K, Lee S, Kim Y, Lee Y, Kang MW, Park S, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Smoking, development of or recovery from metabolic syndrome, and major adverse cardiovascular events: A nationwide population-based cohort study including 6 million people. PLoS One 2021; 16:e0241623. [PMID: 33434198 PMCID: PMC7802921 DOI: 10.1371/journal.pone.0241623] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Accepted: 10/19/2020] [Indexed: 12/18/2022] Open
Abstract
Smoking, metabolic syndrome (MetS), and major adverse cardiovascular events (MACEs) are important global health problems. We aimed to investigate the association between smoking, alteration in MetS status, and the consequent risk of MACE. We performed a nationwide observational cohort study based on the claims database of Korea. We included people with ≥ 3 national health screenings from 2009 to 2013. Total 6,099,717 people, including 3,576,236 nonsmokers, 862,210 ex-smokers, 949,586 light-to-moderate smokers, and 711,685 heavy smokers, at the first health screening, were investigated. First, we performed a logistic regression analysis using smoking status at the first screening as the exposure variable and MetS development or recovery as the outcome variable. Second, we performed a Poisson regression using smoking status at the third screening as the exposure variable and the outcome was risk of incident MACEs. Among those previously free from MetS (N = 4,889,493), 347,678 people developed MetS, and among those who had previous MetS (N = 1,210,224), 347,627 people recovered from MetS. Smoking was related to a higher risk of MetS development [for heavy smokers: adjusted OR 1.71 (1.69 to 1.73)] and a lower probability of MetS recovery [for heavy smokers: adjusted OR 0.68 (0.67 to 0.69)]. Elevated triglycerides was the MetS component with the most prominent association with smoking. The risk for incident MACEs (78,640 events during a median follow-up of 4.28 years) was the highest for heavy smokers, followed in order by light-to-moderate, ex-smokers and nonsmokers, for every MetS status. Therefore, smoking may promote MetS or even hinder recovery from MetS. Smoking cessation should be emphasized to reduce MACE risk even for those without MetS.
Collapse
Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Yeonhee Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Woo Kang
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Sanghyun Park
- Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- * E-mail:
| |
Collapse
|
4
|
Mucheru D, Hanlon MC, Campbell LE, McEvoy M, MacDonald-Wicks L. Cardiovascular disease lifestyle risk factors in people with psychosis: a cross-sectional study. BMC Public Health 2018; 18:742. [PMID: 29907101 PMCID: PMC6003197 DOI: 10.1186/s12889-018-5649-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 05/31/2018] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND People with psychosis die on average 25 years earlier than those in the general population, with cardiovascular disease (CVD) contributing to much of the excess mortality. This cross-sectional study aimed to identify the relationship between lifestyle risk factors for CVD - poor nutrition, smoking and low physical activity levels - and dyslipidaemia, hypertension and hyperglycaemia while controlling for potential confounders in 1825 people from the Survey of High Impact Psychosis (SHIP) in Australia. We also aimed to identify clustering patterns of lifestyle risk factors and associated demographic variables. METHODS Three logistic regressions were used to predict the effect of nutrition, smoking and physical activity on dyslipidaemia, hypertension and hyperglycaemia while controlling for clozapine use, sex and age. Clustering patterns of nutrition, smoking and physical activity were examined using the two-step cluster method which is based on hierarchical cluster analysis. Demographic variables associated with different clusters were identified using measures of association. RESULTS Smoking status had a positive association with dyslipidaemia (adjusted odds ratio = 0.50; 95% confidence interval = 0.32-0.78; p = 0.002). Other cardiovascular disease lifestyle risk factors did not have a significant relationship with dyslipidaemia, hypertension and hyperglycaemia. Clustering patterns of lifestyle risk factors showed that younger men, with low education levels, and relying on a government pension, were most likely to display the poorest lifestyle risk behaviours. The largest cluster (42%) of participants was characterised by a mixed demographic profile and were most likely to display poor nutrition and low physical activity levels but less likely to smoke. CONCLUSIONS Only smoking status had a significant positive association with dyslipidaemia which could indicate that there are additional factors affecting the relationship between other cardiovascular lifestyle risk factors and dyslipidaemia, hypertension and hyperglycaemia in people with psychosis. Unknown confounders and traditional lifestyle risk factors may explain the high rates of CVD in this group. Clustering of lifestyle risk factors and their demographic profiles could help the design of intervention programs in people with psychosis.
Collapse
Affiliation(s)
- Doreen Mucheru
- Faculty Health and Medicine, The University of Newcastle, Callaghan, 2308 Australia
| | - Mary-Claire Hanlon
- Faculty Health and Medicine, The University of Newcastle, Callaghan, 2308 Australia
- Brain and Mental Health Program, Hunter Medical Research Institute, New Lambton, 2305 Australia
- Priority Research Centre for Brain and Mental Health, The University of Newcastle, Callaghan, 2308 Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, 2308 Australia
| | - Linda E. Campbell
- Brain and Mental Health Program, Hunter Medical Research Institute, New Lambton, 2305 Australia
- Faculty of Science, The University of Newcastle, Callaghan, 2308 Australia
- Priority Research Centre GrowUpWell, The University of Newcastle, Callaghan, 2308 Australia
| | - Mark McEvoy
- Faculty Health and Medicine, The University of Newcastle, Callaghan, 2308 Australia
- Centre for Clinical Epidemiology & Biostatistics, Hunter Medical Research Institute, New Lambton, 2305 Australia
| | - Lesley MacDonald-Wicks
- Faculty Health and Medicine, The University of Newcastle, Callaghan, 2308 Australia
- Brain and Mental Health Program, Hunter Medical Research Institute, New Lambton, 2305 Australia
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Callaghan, 2308 Australia
| |
Collapse
|
5
|
Yu TY, Jee JH, Bae JC, Jin SM, Baek JH, Lee MK, Kim JH. Serum uric acid: A strong and independent predictor of metabolic syndrome after adjusting for body composition. Metabolism 2016; 65:432-40. [PMID: 26975535 DOI: 10.1016/j.metabol.2015.11.003] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 10/15/2015] [Accepted: 11/04/2015] [Indexed: 11/28/2022]
Abstract
BACKGROUND Some observational studies have suggested that serum uric acid (SUA) levels are one of the determinants of the metabolic syndrome (MetS). However, previous studies reported combined results for men and women after adjusting for sex and few studies take body composition into consideration. Therefore, we performed this sex-specific longitudinal study to investigate how baseline SUA levels influence incident MetS, including body composition as an adjusting factor in a large number of subjects. METHODS A total of 14,442 participants (8715 men and 5727 women) participating in a medical health check-up program without diagnosed MetS at baseline were enrolled. Separate analyses were performed for men and women including body composition as a confounding factor. Cox proportional hazards models were used to quantify independent associations between SUA levels and incident MetS. RESULTS During 63,940person-years of follow-up, there were 4215 (2974 men, 1241 women) incident cases of MetS between 2006 and 2012. After adjustments for age, systolic BP, diastolic BP, BMI, eGFR, smoking status, TG, LDL-C, HDL-C, fasting glucose, and proportion of fat-free mass (100-fat mass, %), the hazard ratios (HR) [95% confidence interval (CI)] for incident MetS comparing the second, the third, and the fourth quartiles to the first quartile of SUA levels were 0.862 (0.770-0.965), 1.102 (0.991-1.225), and 1.246 (1.121-1.385) in men (p for trend<0.001), and 1.045 (0.862-1.266), 1.251 (1.050-1.490), and 1.321 (1.109-1.574) in women (p for trend<0.001), respectively. As a continuous variable, in fully-adjusted models, the HRs (95% CI) for incident MetS associated with each increase of 1mg/dl of SUA levels were 1.094 (1.060-1.130) in men (p<0.001) and 1.148 (1.072-1.228) in women (p<0.001), respectively. CONCLUSION We demonstrated that SUA levels are strong and independent predictors of MetS. This relationship remained significant after full adjustments for multiple associated confounders including body composition in both men and women.
Collapse
Affiliation(s)
- Tae Yang Yu
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Hwan Jee
- Department of Health Promotion Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Ji Cheol Bae
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jong-Ha Baek
- Department of Internal Medicine, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Republic of Korea
| | - Moon-Kyu Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Republic of Korea; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Republic of Korea.
| |
Collapse
|
6
|
Dietary, behavioural and socio-economic determinants of the metabolic syndrome among adults in Luxembourg: findings from the ORISCAV-LUX study. Public Health Nutr 2011; 15:849-59. [PMID: 21914256 DOI: 10.1017/s1368980011002278] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The purpose of the present research was to investigate the epidemiological profile of the metabolic syndrome (MetS) and to explore its potential dietary, behavioural and socio-economic determinants among European adults residing in Luxembourg. DESIGN Cross-sectional, population-based ORISCAV-LUX survey. SETTING European adults aged 18-69 years residing in Luxembourg. SUBJECTS A total of 1349 Europid adults, who participated in the ORISCAV-LUX survey, were included in the study. The prevalence of MetS was estimated according to the Revised-Adult Treatment Panel (R-ATPIII) criteria. Multivariate logistic regression was used to identify the dietary, behavioural and socio-economic factors independently associated with MetS. RESULTS The overall prevalence of MetS was 24.7 % with significant gender difference (18.5 % for women v. 30.8 % for men, P < 0.0001). Age, male gender, primary level of education, physical inactivity, family history of diabetes and hypertension and inadequate protein intake were identified as significant determinants of MetS, after adjusting for other socio-economic, family medical history and lifestyle factors. CONCLUSIONS MetS is a common condition among Europid adults in Luxembourg and increases dramatically with age, in both genders. Several dietary, socio-economic and behavioural factors explain the disparity observed. These findings highlight the importance of a comprehensive approach to MetS encompassing dietary, lifestyle and socio-economic aspects, both in clinical and community settings.
Collapse
|
7
|
De Cosmo S, Lamacchia O, Rauseo A, Viti R, Gesualdo L, Pilotti A, Trischitta V, Cignarelli M. Cigarette smoking is associated with low glomerular filtration rate in male patients with type 2 diabetes. Diabetes Care 2006; 29:2467-70. [PMID: 17065686 DOI: 10.2337/dc06-0940] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The relationship between cigarette smoking and renal dysfunction in diabetes has predominantly been documented in patients with type 1 diabetes. The aim of the present study was to explore the relationship between cigarette smoking and glomerular filtration rate (GFR) in a large cross-sectional study carried out in male subjects with type 2 diabetes. The role of metabolic syndrome in modulating this relationship was also investigated. RESEARCH DESIGN AND METHODS One hundred fifty-eight current smokers and 158 never smokers with type 2 diabetes were consecutively recruited. Low GFR was defined as GFR <60 ml/min per 1.73 m(2). RESULTS The proportion of patients affected by low GFR was significantly higher in current smokers (20.9 vs. 12.0%, P = 0.03). The adjusted risk (odds ratio [OR]) of low GFR in current smokers was 2.20 (95% CI 1.14-4.26, P = 0.02) and markedly higher in patients from the first tertile of disease duration (4.27 [1.26-14.40], P = 0.02). When metabolic syndrome was added to the statistical model exploring the relationship between smoking and low GFR, the risk of low GFR showed a small change, although it did not become any more significant (1.84 [0.98-3.45], P = 0.06). Current smokers showed even higher free oxygen radical test unit values (560.0 +/- 91.5 vs. 442.7 +/- 87.2, P < 0.0001). CONCLUSIONS In a large population of male patients with type 2 diabetes, the risk of low GFR is markedly enhanced by smoking and is at least partially mediated by metabolic syndrome.
Collapse
Affiliation(s)
- Salvatore De Cosmo
- Unit of Endocrinology and Metabolic Diseases, Department of Medical Sciences, University of Foggia, via Luigi Pinto, 71100 Foggia, Italy
| | | | | | | | | | | | | | | |
Collapse
|