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Han JY, Kwon JH, Kim SH, Lee H. Hepatitis Risk in Diabetes Compared to Non-Diabetes and Relevant Factors: A Cross-Sectional Study with National Health and Nutrition Examination Survey (NHANES), 2013-2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4962. [PMID: 36981870 PMCID: PMC10049568 DOI: 10.3390/ijerph20064962] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/01/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
This study aimed to identify the development of hepatitis B or C infection in diabetes patients compared to those without and to elucidate factors associated with the prevalence of hepatitis B or C infection in diabetes. We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2013-2018. As evaluation factors, we included variables such as age, race, illicit drug use, and poverty. The diabetic group had a significantly higher prevalence of hepatitis B or C infection than the non-diabetic group (odds ratio (OR) = 1.73; 95% confidence interval (CI), 1.36-2.21, p < 0.01). In multivariate Cox regression, non-poverty and non-illicit drug use were lower risk factors contributing to hepatitis development in diabetes (hazard ratio (HR) = 0.50; 95% CI, 0.32-0.79, p < 0.01, and HR = 0.05; 95% CI, 0.03-0.08, p < 0.01, respectively). Logistic regression also showed that these factors were significant contributors to hepatitis development in the diabetic group (p < 0.01). In patients with diabetes, the development of hepatitis was higher than that in those without, and hepatitis development was influenced by poverty and illicit drug use. This may provide supporting evidence of response strategies for diabetes to care for hepatitis development in advance.
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Affiliation(s)
- Ja-Young Han
- Department of Clinical Medicinal Sciences, Konyang University, Nonsan 32992, Republic of Korea
- College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Jae-Hee Kwon
- Department of Clinical Medicinal Sciences, Konyang University, Nonsan 32992, Republic of Korea
- College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Sun-Hwa Kim
- Department of Clinical Medicinal Sciences, Konyang University, Nonsan 32992, Republic of Korea
| | - Heeyoung Lee
- Department of Clinical Medicinal Sciences, Konyang University, Nonsan 32992, Republic of Korea
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Wang YY, Zhang JX, Tian T, Gao MY, Zhu QR, Xie W, Fu LM, Wang SK, Dai Y. Dietary patterns in association with the risk of elevated blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province of China. Nutr Metab Cardiovasc Dis 2022; 32:69-79. [PMID: 34920942 DOI: 10.1016/j.numecd.2021.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 07/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND AND AIMS This study aimed to identify unique dietary patterns, and to examine the correlation of dietary patterns with elevated blood pressure, lipid profile and fasting plasma glucose (FPG) among adults in Jiangsu Province of China. METHODS AND RESULTS 4951 individuals were selected in this cross-sectional study from nutrition and health survey in Jiangsu Province in 2014. Factor analysis was used to identify the dietary patterns. Higher quartile of the cereals-seafood-dairy dietary pattern was inversely associated with high low-density lipoprotein cholesterol (LDL) (composed to Q1, OR = 0.834, 95% CI: 0.700∼0.993, P < 0.05) and FPG (composed to Q1, OR = 0.725, 95% CI: 0.609-0.862, P < 0.05), while higher quartile of the traditional Jiangsu dietary pattern was positively associated with low high-density lipoprotein cholesterol (HDL) (composed to Q1, OR = 1.395, 95% CI: 1.067∼1.825, P < 0.05) and high systolic blood pressure (SBP) (composed to Q1, OR = 1.238, 95% CI: 1.020∼1.503, P < 0.05). Higher scores of the refined food-oriented dietary pattern was inversely related to high triglycerides (TG) (composed to Q1, OR = 0.665, 95% CI: 0.551∼0.802, P < 0.05), but was positively related to high TC (composed to Q1, OR = 2.179, 95% CI: 1.817∼2.614), high LDL (composed to Q1, OR = 2.431, 95% CI: 2.037∼2.902, P < 0.05) and elevated FPG (composed to Q1, OR = 1.734, 95% CI: 1.458∼2.061, P < 0.05). CONCLUSION Different structure of dietary patterns do affect the blood pressure, lipid profile and fasting plasma glucose among adults in Jiangsu Province, China.
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Affiliation(s)
- Yuan-Yuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Jing-Xian Zhang
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ting Tian
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Min-Yue Gao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Qian-Rang Zhu
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Wei Xie
- Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China
| | - Ling-Meng Fu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China
| | - Shao-Kang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China.
| | - Yue Dai
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, 210009, China; Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
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Ren Y, Zuo Y, Wang A, Chen S, Tian X, Li H, He Y, Wu S, Ma C. Diabetes modifies the association of prehypertension with cardiovascular disease and all-cause mortality. J Clin Hypertens (Greenwich) 2021; 23:1221-1228. [PMID: 33813784 PMCID: PMC8678834 DOI: 10.1111/jch.14246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 02/27/2021] [Accepted: 03/16/2021] [Indexed: 12/05/2022]
Abstract
Prehypertension is a risk factor for cardiovascular disease (CVD) and all‐cause mortality. However, it is unclear whether prehypertension combined with diabetes associate with a higher risk for cardiovascular disease and all‐cause mortality. The purpose of this study was to explore the relationship between prehypertension and the risk of CVD and all‐cause mortality was different among individuals with or without diabetes. In the prospective community‐based Kailuan study, 67 344 participants without hypertension or a history of CVD at baseline (2006) were included. Prehypertension was defined as systolic blood pressure of 120–139 mmHg or diastolic blood pressure of 80–89 mmHg. The outcomes were CVD and all‐cause mortality were followed up through December 31, 2017. We performed Cox proportional hazards models to evaluate the relationships between prehypertension and CVD and all‐cause mortality by diabetes status. During a median follow‐up of 11.03 years, 2981 CVD events and 4655 all‐cause mortality occurred. After adjusting age, sex, and other factors, the associations of prehypertension with risk of CVD and all‐cause mortality were significant in participants without diabetes (hazard ratio and 95% confidence interval: 1.54 [1.38–1.71] and 1.27 [1.17–1.38]), but not in participants with diabetes (1.20 [0.93–1.56] and 0.88 [0.73–1.07]). The interactions between prehypertension and diabetes for the risk of CVD and all‐cause mortality were all significant (all p < .05). Prehypertension was only associated with an increased risk for CVD and all‐cause mortality in non‐diabetes participants. Diabetes modifies the relation of prehypertension with the risk of CVD and all‐cause mortality.
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Affiliation(s)
- Yanlong Ren
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haibin Li
- Department of Epidemiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yan He
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Changsheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.,National Clinical Research Center for Cardiovascular Diseases, Beijing, China
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Baranowska-Jurkun A, Matuszewski W, Bandurska-Stankiewicz E. Chronic Microvascular Complications in Prediabetic States-An Overview. J Clin Med 2020; 9:E3289. [PMID: 33066307 PMCID: PMC7602111 DOI: 10.3390/jcm9103289] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/01/2020] [Accepted: 09/08/2020] [Indexed: 12/12/2022] Open
Abstract
A prediabetic state is a major risk factor for the development of diabetes, and, because of an identical pathophysiological background of both conditions, their prevalence increases parallelly and equally fast. Long-term hyperglycemia is the main cause inducing chronic complications of diabetes, yet the range of glucose levels at which they start has not been yet unequivocally determined. The current data show that chronic microvascular complications of diabetes can be observed in patients with abnormal glucose metabolism in whom glycaemia is higher than optimal but below diagnostic criteria for diabetes. Prediabetes is a heterogenous nosological unit in which particular types are differently characterized and show different correlations with particular kinds of complications. Analysis of the latest research results shows the need to continue studies in a larger population and can imply the need to verify the currently employed criteria of diagnosing diabetes and chronic complications of diabetes in people with prediabetes.
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Affiliation(s)
- Angelika Baranowska-Jurkun
- Clinic of Endocrinology, Diabetology and Internal Medicine, Department of Internal Medicine, School of Medicine, Collegium Medicum, University of Warmia and Mazury, Żołnierska 18, 10-561 Olsztyn, Poland; (W.M.); (E.B.-S.)
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