1
|
Shahabi N, Rafati S, Kakhaki HES, Soleimani F, Zamaninasab F, Saboohi Z, Nejatizadeh A, Dadipoor S. Assessing the risk of metabolic syndrome and diabetes in relation to Hookah smoking: Evidence from a cohort study in Southern Iran. Health Sci Rep 2024; 7:e1996. [PMID: 38655419 PMCID: PMC11035749 DOI: 10.1002/hsr2.1996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 11/25/2023] [Accepted: 03/07/2024] [Indexed: 04/26/2024] Open
Abstract
Background Hookah smoking has pointedly increased worldwide and could have different harmful health effects. However, long term hookah smoking effects on chronic diseases has not been well studied. This study was aimed to investigate the relationship between hookah smoking with metabolic syndrome and diabetes. Methods In this prospective study, the baseline data from 3695 participant (35-70 years old) of Bandar-e-Kong cohort study in Hormozgan province, Iran were used. In this study, data were collected through the questionnaires designed in the Kong cohort study and 25 mm of blood sample. All analyses were performed using SPSS version 27.0 and the ggplot2 package in RStudio version 2023.06.1 + 524. p < 0.05 was considered a significant difference. Results The prevalence of hookah smoking was 17.3% in total. Also, the prevalence of metabolic syndrome, diabetes, hypertension, and dyslipidemia were 35.6, 15.2, 31.2, and 78.0%, respectively. Our results showed that there were statistically significant relationship between hookah smoking and metabolic syndrome, hypertension and diabetes (p < 0.05). In the case of dyslipidemia, hookah smoking was also associated with increase in dyslipidemia (p < 0.05). Conclusions More evidence is needed to understand the mechanism of hookah smoking and these health effects. As well as, health education and increasing public awareness about the health effects of hookah smoking and implementation of smoking prohibition policies are highly recommended.
Collapse
Affiliation(s)
- Nahid Shahabi
- Social Determinants in Health Promotion Research Centre, Hormozgan Health InstituteHormozgan University of Medical SciencesBandar AbbasIran
| | - Shideh Rafati
- Social Determinants in Health Promotion Research Centre, Hormozgan Health InstituteHormozgan University of Medical SciencesBandar AbbasIran
| | | | - Farshid Soleimani
- Tobacco and Health Research CentreHormozgan University of Medical SciencesBandar AbbasIran
| | - Fatemeh Zamaninasab
- Biostatistics and Epidemiology Department, Faculty of HealthMazandaran University of Medical SciencesSariIran
| | - Zahra Saboohi
- Department of Health Services, School of Public HealthIran University of Medical SciencesTehranIran
| | - Azim Nejatizadeh
- Tobacco and Health Research CentreHormozgan University of Medical SciencesBandar AbbasIran
| | - Sara Dadipoor
- Tobacco and Health Research CentreHormozgan University of Medical SciencesBandar AbbasIran
| |
Collapse
|
2
|
Mourino N, Pérez-Ríos M, Yolton K, Lanphear BP, Chen A, Buckley JP, Kalkwarf HJ, Cecil KM, Braun JM. Pre- and postnatal exposure to secondhand tobacco smoke and cardiometabolic risk at 12 years: Periods of susceptibility. ENVIRONMENTAL RESEARCH 2023; 224:115572. [PMID: 36841524 PMCID: PMC10726317 DOI: 10.1016/j.envres.2023.115572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 02/01/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND To identify periods of heightened susceptibility to the association of secondhand tobacco smoke (SHS) exposure with cardiometabolic (CM) risk at age 12 years. METHODS We used data from 212 adolescents from the HOME Study, a prospective pregnancy and birth cohort in Cincinnati, OH. Using multiple informant models, we estimated associations of maternal serum cotinine (mean of concentrations at 16 and 26 weeks of pregnancy) and children's serum cotinine concentrations (mean of concentrations at ages 1, 2, 3, and 4 years) with a CM risk summary score constructed of five risk components measured at age 12 years. We determined if these associations differed for pre- and postnatal exposure periods, and adolescent's sex. RESULTS We found some evidence that the cotinine-outcome associations differed by exposure period and sex. Postnatal, but not prenatal, cotinine was associated with higher CM risk scores and individual CM risk component values (interaction p-values = 0.04 to 0.35). Each 10-fold increase in postnatal cotinine was associated with 0.57 (95% CI: 0.32, 1.45), 0.09 (95% CI: 0.13, 0.31), 0.14 (-0.08, 0.35), 0.07 (95% CI: 0.34, 0.48), and 0.11 (95% CI: 0.04, 0.27) higher CM risk, HOMA-IR, TG to HDL-C ratio, leptin to adiponectin ratio, and visceral fat area. Postnatal cotinine was associated with higher visceral fat area among females but not males (sex × period × cotinine interaction p-value = 0.01). CONCLUSIONS Serum cotinine concentrations during the postnatal period had greater influence on adolescent's CM risk compared to the prenatal period, and these associations may be sex-specific. This study reinforces the need for ongoing public health interventions to minimize children's exposure to SHS.
Collapse
Affiliation(s)
- Nerea Mourino
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Mónica Pérez-Ríos
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain; Consortium for Biomedical Research in Epidemiology and Public health (CIBERESP), Madrid, Spain.
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Bruce P Lanphear
- Faculty of Health Sciences, Simon Fraser University, Vancouver, British Columbia, Canada
| | - Aimin Chen
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessie P Buckley
- Department of Environmental Health and Engineering, Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD, USA
| | - Heidi J Kalkwarf
- Department of Pediatrics, Division of Gastroenterology, Hepatology & Nutrition, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Kim M Cecil
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA; Department of Radiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, USA
| |
Collapse
|
3
|
Hu M, Wei J, Hu Y, Guo X, Li Z, Liu Y, Li S, Xue Y, Li Y, Liu M, Wang L, Liu X. Long-term effect of submicronic particulate matter (PM 1) and intermodal particulate matter (PM 1-2.5) on incident dyslipidemia in China: A nationwide 5-year cohort study. ENVIRONMENTAL RESEARCH 2023; 217:114860. [PMID: 36423667 DOI: 10.1016/j.envres.2022.114860] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/15/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND There is insufficient evidence of associations between incident dyslipidemia with PM1 (submicronic particulate matter) and PM1-2.5 (intermodal particulate matter) in the middle-aged and elderly. We aimed to determine the long-term effects of PM1 and PM1-2.5 on incident dyslipidemia respectively. METHODS We studied 6976 individuals aged ≥45 from the China Health and Retirement Longitudinal Study from 2013 to 2018. The concentrations of particular matter (PM) for every individual's address were evaluated using a satellite-based spatiotemporal model. Dyslipidemia was evaluated by self-reported. The generalized linear mixed model was applied to quantify the correlations between PM and incident dyslipidemia. RESULTS After a 5-year follow-up, 333 (4.77%) participants developed dyslipidemia. Per 10 μg/m³ uptick in four-year average concentrations of PMs (PM1 and PM1-2.5) corresponded to 1.11 [95% confidence interval (CI): 1.01-1.23)] and 1.23 (95% CI: 1.06-1.43) fold risks of incident dyslipidemia. Nonlinear exposure-response curves were observed between PM and incident dyslipidemia. The effect size of PM1 on incident dyslipidemia was slightly higher in males [1.14 (95% CI: 0.98-1.32) vs. 1.04 (95% CI: 0.89-1.21)], the elderly [1.23 (95% CI: 1.04-1.45) vs. 1.03 (95% CI: 0.91-1.17)], people with less than primary school education [1.12 (95% CI: 0.94-1.33) vs. 1.08 (95% CI: 0.94-1.23)], and solid cooking fuel users [1.17 (95% CI: 1.00-1.36) vs. 1.06 (95% CI: 0.93-1.21)], however, the difference was not statistically significant (Z = -0.82, P = 0.413; Z = -1.66, P = 0.097; Z = 0.32, P = 0.752; Z = -0.89, P = 0.372). CONCLUSIONS Long-term exposure to PM1 and PM1-2.5 were linked with an increased morbidity of dyslipidemia in the middle-aged and elderly population. Males, the elderly, and solid cooking fuel users had higher risk. Further studies would be warranted to establish an accurate reference value of PM to mitigate growing dyslipidemia.
Collapse
Affiliation(s)
- Meiling Hu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, USA.
| | - Yaoyu Hu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Xiuhua Guo
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, China; Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Australia.
| | - Zhiwei Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yuhong Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Shuting Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yongxi Xue
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Yuan Li
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Mengmeng Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| | - Lei Wang
- Department of Food and Nutritional Hygiene, School of Public Health, Capital Medical University, China.
| | - Xiangtong Liu
- School of Public Health, Capital Medical University, Beijing, 100069, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
| |
Collapse
|
4
|
HDL Functions-Current Status and Future Perspectives. Biomolecules 2023; 13:biom13010105. [PMID: 36671490 PMCID: PMC9855960 DOI: 10.3390/biom13010105] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 12/28/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death in Western countries. A low HDL-C is associated with the development of CVD. However, recent epidemiology studies have shown U-shaped curves between HDL-C and CVD mortality, with paradoxically increased CVD mortality in patients with extremely high HDL-C levels. Furthermore, HDL-C raising therapy using nicotinic acids or CETP inhibitors mostly failed to reduce CVD events. Based on this background, HDL functions rather than HDL-C could be a novel biomarker; research on the clinical utility of HDL functionality is ongoing. In this review, we summarize the current status of HDL functions and their future perspectives from the findings of basic research and clinical trials.
Collapse
|
5
|
Xiao Y, Yao XY, Wang YH, Han LW, Li LX, Li M, Gao S. Relationship Between Subclinical Cardiovascular Diseases and Cardiac Morpho-Functional Parameters in Preclinical Stage A/B Heart Failure Adults with Type 2 Diabetes. Diabetes Metab Syndr Obes 2022; 15:3923-3931. [PMID: 36545295 PMCID: PMC9762254 DOI: 10.2147/dmso.s385088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022] Open
Abstract
PURPOSE Type 2 diabetes mellitus (T2DM) is a common risk factor for cardiovascular disease which increases the risk of heart failure. This study aimed to determine whether clinical characteristics and subclinical cardiovascular disease (CVD) features are correlated with echocardiographic morpho-functional parameters of T2DM patients. PATIENTS AND METHODS Two hundred and fifty-five T2DM patients without a history of coronary heart disease were enrolled in this cross-sectional study. The demographic characteristics, glucose and lipid levels were assessed for each patient. Carotid ultrasonography and peripheral artery examination were performed to measure carotid intima-media thickness (cIMT), carotid plaque, ankle-brachial index (ABI), brachial artery pulse wave velocity (baPWV), and carotid-femoral pulse wave velocity (cfPWV). Furthermore, echocardiography was conducted to evaluate cardiac morphology and systolic and diastolic function. The relationship between clinical characteristics, subclinical cardiovascular diseases, and cardiac morpho-functional parameters was explored with the Pearson and stepwise multivariable linear regression analyses. RESULTS A total of 255 subjects aged 18-80 years were enrolled in the study. Multiple regression analysis revealed that left ventricular mass index (LVMI) was correlated with age (β=0.463, p = 0.000) and systolic blood pressure (SBP) (β=0.179, p = 0.003). Relative wall thickness (RWT) was related to cfPWV (β=0.006, p = 0.007) and homeostasis model assessment of insulin resistance (HOMA-IR) (β=0.000, p = 0.036). In contrast, left ventricular ejection fraction (LVEF) was inversely related to cIMT (β=-0.925, p = 0.019). The ratio of the peak flow velocity of early diastole to atrial contraction (peak E/A) was correlated with age (β=-0.014, p = 0.000), diastolic blood pressure (DBP) (β=-0.006, p = 0.001) and cfPWV (β=-0.025, p = 0.044). CONCLUSION In preclinical stage A/B heart failure adults with T2DM, age, BP, HOMA-IR, cfPWV and cIMT are correlated with cardiac morpho-functional parameters.
Collapse
Affiliation(s)
- Yan Xiao
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Xin-Yue Yao
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Yong-Hui Wang
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Lan-Wen Han
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Lian-Xia Li
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Ming Li
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
| | - Shan Gao
- Department of Endocrinology, Beijing Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
- Correspondence: Shan Gao, Department of Endocrinology, Beijing Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Xuanwu District, Beijing, 100053, People’s Republic of China, Tel +8613910599635, Email
| |
Collapse
|