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Shen T, Zheng Q, Zhong L, Zeng X, Yuan X, Mo F, Zhu S, Yang W, Chen Q. Insufficient compensatory pancreatic β-cells function might be closely associated with hyperuricemia in U.S. adults: evidence from the National Health and Nutrition Examination Survey. BMC Public Health 2024; 24:85. [PMID: 38172728 PMCID: PMC10765924 DOI: 10.1186/s12889-023-17471-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 12/13/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND The prevalence of hyperuricemia (HUA) is gradually increasing worldwide. HUA is closely related to diabetes, but the relationship between HUA and pancreatic β-cells function in the population is unclear. The purpose of this article is to investigate the association between pancreatic β-cells and HUA. METHODS This cross-sectional study examined the association between pancreatic β-cells and HUA in 1999-2004 using data from the National Health and Nutrition Examination Survey (NHANES). Subjects were divided into two groups: HUA and non-HUA. Pancreatic β-cells function levels were assessed using homeostasis model assessment version 2-%S (HOMA2-%S), homeostasis model assessment version 2-%B (HOMA2-%B) and disposition index (DI). Multivariate logistic regression models and restricted cubic spline models were fitted to assess the association of pancreatic β-cells function with HUA. RESULTS The final analysis included 5496 subjects with a mean age of 46.3 years (standard error (SE), 0.4). The weighted means of HOMA2-%B, HOMA2-%S and DI were 118.1 (SE, 1.0), 69.9(SE, 1.1) and 73.9 (SE, 0.7), respectively. After adjustment for major confounders, participants in the highest quartile of HOMA2-%B had a higher risk of HUA (OR = 2.55, 95% CI: 1.89-3.43) compared to participants in the lowest quartile. In contrast, participants in the lowest quartile of HOMA2-%S were significantly more likely to have HUA than that in the highest quartile (OR = 3.87, 95% CI: 2.74-5.45), and similar results were observed in DI (OR = 1.98, 95% CI: 1.32-2.97). Multivariate adjusted restricted cubic spline analysis found evidence of non-linear associations between HOMA2-%B, HOAM2-%S, DI and the prevalence of HUA. CONCLUSION Our finding illustrated the indicators of inadequate β-cells compensation might be a new predictor for the presence of HUA in U.S. adults, highlighting a critical role of pancreatic β-cells function on HUA.
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Affiliation(s)
- Tianran Shen
- Department of Nutrition and Food Hygiene, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
| | - Qiutong Zheng
- Department of Nutrition and Food Hygiene, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
| | - Liling Zhong
- Department of Nutrition and Food Hygiene, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
| | - Xia Zeng
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
| | - Xiaojing Yuan
- Department of Nutrition and Food Hygiene, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
| | - Fengxin Mo
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Department of Occupational Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangzhou Province, 510006, China
| | - Shiheng Zhu
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China
- Department of Occupational Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangzhou Province, 510006, China
| | - Wenhan Yang
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China.
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China.
| | - Qingsong Chen
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, 510006, China.
- Department of Occupational Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangzhou Province, 510006, China.
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Du B, Li Y, Xia Y, Wu S, Wei Y, Wang Z, Wang S, Guo J, Zhu Q, Shen T, Chen Q. The mediation and interaction of the obesity index between moderate-vigorous recreational physical activity and hypertension. PLoS One 2023; 18:e0296333. [PMID: 38153927 PMCID: PMC10754462 DOI: 10.1371/journal.pone.0296333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/08/2023] [Indexed: 12/30/2023] Open
Abstract
Previous studies showed that physical activity (PA) is concerned with hypertension (HTN). However, the mediation and interaction role of the obesity index: body mass index (BMI), waist-hip ratio (WHR), body fat rate (BFR) and visceral fat index (VFI) between PA and HTN has never been studied. Therefore, the purpose of this study was to assess the mediation and interaction of the obesity index between moderate-vigorous recreational physical activity (MVRPA) and HTN. We conducted a cross-sectional study of 4710 individuals aged 41 or older in Torch Development Zone, Zhongshan City. The mediation and interaction of the obesity index were evaluated by a four-way decomposition. 48.07% of participants had HTN among these groups. In the adjusted linear regression model, MVRPA was significantly correlated with WHR (β±SE = -0.005±0.002; P<0.05). Compared to sufficient MVRPA (odds ratio (OR) = 1.35), 95% (confidence interval (CI) = 1.17-1.56), insufficient MVRPA increased the risk of developing HTN. Furthermore, there were associations between BMI, WHR, BFR, VFI and HTN where the adjusted ORs and 95% CIs were 1.11 (1.09-1.13), 6.23 (2.61-14.90), 1.04 (1.03-1.06), 1.07 (1.06-1.09), respectively. The mediation analyses suggested that the impact of MVRPA on HTN risk may partly be explained by changes in obesity index, with a pure indirect mediation of WHR between MVRPA and HTN (P<0.05). Therefore, weight control, especially reducing abdominal obesity and maintaining adequate MVRPA, may lead to more proper control of HTN.
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Affiliation(s)
- Bingqian Du
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Disease, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuting Li
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yun Xia
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Shan Wu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yuan Wei
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhihao Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Shupei Wang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Jiao Guo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China
- Key Laboratory of Glucolipid Metabolic Disorder, Guangzhou, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou, China
| | - Qing Zhu
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China
- Key Laboratory of Glucolipid Metabolic Disorder, Guangzhou, China
- Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, China
| | - Tianran Shen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
| | - Qingsong Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, Guangdong Pharmaceutical University, Guangzhou, China
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