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Zhao D, Zhou J, Su D, Li Y, Sun W, Tan B, Li S, Zhang R, Song P. Combined associations of general obesity and central obesity with hypertension stages and phenotypes among children and adolescents in Zhejiang, China. J Clin Hypertens (Greenwich) 2023; 25:983-992. [PMID: 37787088 PMCID: PMC10631097 DOI: 10.1111/jch.14733] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/04/2023]
Abstract
General and central obesity are suggested to be associated with elevated blood pressure (BP), whereas few studies have investigated their combined associations with hypertension in children. This study aimed to assess the associations of combinations of general obesity and central obesity with hypertension in Chinese children, including its stages and phenotypes. A total of 5430 children aged 7-17 years in Zhejiang Province were enrolled. General obesity was evaluated by body mass index (BMI), while central obesity was by waist circumference (WC). Then all children were sorted into three mutually exclusive groups: normal weight with or with no central obesity (NW), abnormal weight with no central obesity (AWNCO), and abnormal weight with central obesity (AWCO). Hypertension was defined as either a systolic or diastolic BP ≥ 95th percentile, and further classified into stage 1 hypertension, stage 2 hypertension, isolated systolic hypertension (ISH), isolated diastolic hypertension (IDH), and systolic diastolic hypertension (SDH). Logistic regression was used. AWNCO and AWCO were associated with stage 1 hypertension (AWNCO, odds ratio [OR] = 1.94, 95% confidence interval [CI]: 1.59-2.37; AWCO, 2.67, 2.20-3.25), stage 2 hypertension (AWNCO, 2.35, 1.33-4.13; AWCO, 4.53, 2.79-7.37), ISH (AWNCO, 2.50, 1.96-3.18; AWCO, 3.95, 3.15-4.95), and SDH (AWNCO, 2.48, 1.75-3.52; AWCO, 2.78, 1.94-3.99). Children with AWCO were more likely to have stage 1 and stage 2 hypertension, as well as ISH and SDH. The combined measurement of general and central obesity is suggested as an appropriate screening tool for hypertension among children and adolescents.
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Affiliation(s)
- Dong Zhao
- Department of Nutrition and Food SafetyZhejiang Provincial Center for Disease Control and PreventionHangzhouZhejiangChina
| | - Jiali Zhou
- Department of Nutrition and Food SafetyZhejiang Provincial Center for Disease Control and PreventionHangzhouZhejiangChina
- School of Public HealthZhejiang University School of MedicineZhejiang UniversityHangzhouZhejiangChina
| | - Danting Su
- Department of Nutrition and Food SafetyZhejiang Provincial Center for Disease Control and PreventionHangzhouZhejiangChina
| | - Yun Li
- Division of Chronic Non‐communicable Disease and Health EducationPinghu Municipal Center for Disease Control and PreventionPinghuZhejiangChina
| | - Weidi Sun
- School of Public HealthZhejiang University School of MedicineZhejiang UniversityHangzhouZhejiangChina
| | - Boren Tan
- School of Public HealthZhejiang University School of MedicineZhejiang UniversityHangzhouZhejiangChina
| | - Shuting Li
- School of Public HealthZhejiang University School of MedicineZhejiang UniversityHangzhouZhejiangChina
| | - Ronghua Zhang
- Department of Nutrition and Food SafetyZhejiang Provincial Center for Disease Control and PreventionHangzhouZhejiangChina
| | - Peige Song
- School of Public HealthZhejiang University School of MedicineZhejiang UniversityHangzhouZhejiangChina
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Sun J, Wang X, Terry PD, Ren X, Hui Z, Lei S, Wang C, Wang M. Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study. BMJ Open 2022; 12:e061261. [PMID: 35896290 PMCID: PMC9335037 DOI: 10.1136/bmjopen-2022-061261] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To explore the interaction effect between overweight/obesity and alcohol consumption on hypertension risk. DESIGN A longitudinal study of the independent and combined effects of hypertension risk factors. SETTING Twelve provinces in China, including Beijing Liaoning, Heilongjiang, Shanghai, Jiangsu, Shandong, Henan, Hubei, Hunan, Guangxi, Guizhou and Chongqing. PARTICIPANTS Longitudinal data of China Health and Nutrition Survey, collected between 2011 and 2015, were used in this study. A total of 13 121 residents from 12 provinces were included and completed physical examinations and questionnaires at baseline. OUTCOME First incidence of hypertension. RESULTS Over a mean follow-up of 4 years, 690 incident hypertension cases were reported. After adjusting for age, gender, education level, marital status, physical activity, diabetes and smoking, high body mass index (BMI) and light drinking (OR=5.07, 95% CI 3.06 to 8.41), high waist circumference (WC) and light drinking (OR=4.81, 95% CI 2.92 to 7.91), high waist hip ratio and light drinking (OR=2.85, 95% CI 1.84 to 4.42) were the highest risk of all participants in the three combinations. Multiplicative interaction measures were statistically significant in overweight/obesity and drinking/light drinking/heavy drinking categories in men (p<0.05). Additive interactions were observed between high BMI and drinking in men (relative excess risk due to interaction=1.75, 95% CI 0.85 to 2.65, attributable proportion due to interaction=0.56, 95% CI 0.36 to 0.76, synergy index=6.43, 95% CI 1.02 to 28.84). CONCLUSIONS Measures of body weight and size, particularly BMI and WC, appear to interact synergistically with alcohol consumption to increase the risk of hypertension in the Chinese population. Given that approximately 245 million people in China have hypertension, and that hypertension is a major cause of cardiovascular disease worldwide, our results may have implications for chronic disease prevention.
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Affiliation(s)
- Jiaru Sun
- Department of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Xiaoqin Wang
- Department of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Paul D Terry
- Graduate School of Medicine, University of Tennessee Medical Center, Knoxville, Tennessee, USA
| | - Xiaohan Ren
- Department of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Zhaozhao Hui
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Shuangyan Lei
- Department of Radiotherapy, Shaanxi Provincial Cancer Hospital, Xi'an, Shaanxi, China
| | - Caihua Wang
- Department of Nursing, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
| | - Mingxu Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China
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Ye X, Yi Q, Shao J, Zhang Y, Zha M, Yang Q, Xia W, Ye Z, Song P. Trends in Prevalence of Hypertension and Hypertension Phenotypes Among Chinese Children and Adolescents Over Two Decades (1991-2015). Front Cardiovasc Med 2021; 8:627741. [PMID: 34046436 PMCID: PMC8144307 DOI: 10.3389/fcvm.2021.627741] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 04/08/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Hypertension is a leading cause of cardiovascular-related morbidity and mortality. Elevated blood pressure (BP) in children is related to long-term adverse health effects. Until recently, few studies have reported the secular trend and associated factors of hypertension phenotypes in Chinese children and adolescents. Methods: From the China Health and Nutrition Survey (CHNS) 1991-2015, a total of 15,143 records of children aged 7-17 years old were included. Following definitions of hypertension from the Chinese Child Blood Pressure References Collaborative Group, we estimated the prevalence of prehypertension, hypertension, stage 1 hypertension, stage 2 hypertension and its phenotypes (ISH, isolated systolic hypertension; IDH, isolated diastolic hypertension; SDH, combined systolic and diastolic hypertension). General estimation equation was used to analyze the trends in the prevalence of hypertension and hypertension phenotypes, and a multivariable logistic regression was constructed to explore the associated factors. Results: During 1991-2015, increasing trends were revealed in BP and hypertension prevalence (P < 0.001) in Chinese children and adolescents. For ISH, IDH and SDH, the age-standardized prevalence increased dramatically from 0.9 to 2.2%, from 6.2 to 14.1%, and from 1.4 to 2.9%, respectively (all P < 0.001). Adolescents aged 13-17 years (OR = 1.76, 95% CI: 1.56-1.97, P < 0.001), general obesity (OR = 2.69, 95% CI: 2.10-3.44, P < 0.001) and central obesity (OR = 1.49, 95% CI: 1.21-1.83, P < 0.001) were positively associated with hypertension, whereas the South region (OR = 0.65, 95% CI: 0.58-0.73, P < 0.001) was a negative factor. Furthermore, body mass index (BMI) and general obesity were linked to the presence of ISH, IDH and SDH. Age, waist circumference (WC) and central obesity were additionally associated with ISH, and sex, age, urban/rural setting, North/South region, WC and central obesity were additionally associated with IDH. Conclusion: BP levels and prevalence of hypertension and phenotypes increased dramatically in Chinese children and adolescents from 1991 to 2015. Regional discrepancy, demographic features, BMI, WC and overweight/obesity status were associated factors of hypertension among youths.
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Affiliation(s)
- Xinxin Ye
- School of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Qian Yi
- School of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Jing Shao
- School of Nursing, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Yan Zhang
- Faculty of Life Science and Medicine, Kings College London, London, United Kingdom
| | - Mingming Zha
- Medical School Southeast University, Nanjing, China
| | - Qingwen Yang
- Medical School Southeast University, Nanjing, China
| | - Wei Xia
- School of Nursing, Sun Yat-Sen University, Guangdong, China
| | - Zhihong Ye
- School of Nursing, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Peige Song
- School of Public Health, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China.,Women's Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
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Liu F, Liu Y, Sun X, Yin Z, Li H, Deng K, Zhao Y, Wang B, Ren Y, Liu X, Zhang D, Chen X, Cheng C, Liu L, Liu D, Chen G, Hong S, Wang C, Zhang M, Hu D. Race- and sex-specific association between alcohol consumption and hypertension in 22 cohort studies: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2020; 30:1249-1259. [PMID: 32446870 DOI: 10.1016/j.numecd.2020.03.018] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 03/08/2020] [Accepted: 03/18/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND AIMS The alcohol-hypertension relation has been well documented, but whether women have protective effect or race and type of beverage consumed affect the association remain unclear. To quantify the relation between total or beverage-specific alcohol consumption and incident hypertension by considering the effect of sex and race. METHODS AND RESULTS Articles were identified in PubMed and Embase databases with no restriction on publication date. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated by random effects models. Restricted cubic splines were used to model the dose-response association. This study involved 22 articles (31 studies) and included 414,477 participants. The hypertension risk was different among liquor, wine, and beer at 5.1-10 g/d of ethanol consumption (P-across subgroups = 0.002). The hypertension risk differed between men (RR: 1.14, 95% CI: 1.07, 1.20) and women (RR: 0.98, 95% CI: 0.89, 1.06) at 10 g/d (P-across subgroups = 0.005). We found a linear alcohol-hypertension association among white (P-linearity = 0.017), black people (P-linearity = 0.035), and Asians (P-linearity<0.001). With 10 g/d increment of consumption, the RRs for hypertension were 1.06 (95% CI: 1.04, 1.08), 1.14 (95% CI: 1.01, 1.28), and 1.06 (95% CI: 1.01, 1.10) for Asians, black, and white people, respectively. CONCLUSION Sex modifies the alcohol-hypertension association at low level of alcohol consumption and we did not find evidence of a protective effect of alcohol consumption among women. Black people may have higher hypertension risk than Asians and white people at the same ethanol consumption.
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Affiliation(s)
- Feiyan Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Yu Liu
- The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Xizhuo Sun
- The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Zhaoxia Yin
- The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Honghui Li
- The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Kunpeng Deng
- Yantian Entry-exit Inspection and Quarantine Bureau, Shenzhen, Guangdong, People's Republic of China
| | - Yang Zhao
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Bingyuan Wang
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Yongcheng Ren
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China
| | - Xuejiao Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongdong Zhang
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xu Chen
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Cheng Cheng
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Leilei Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dechen Liu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Guozhen Chen
- Department of Clinical Medicine, Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Shihao Hong
- Department of Clinical Medicine, Shenzhen University, Shenzhen, Guangdong, People's Republic of China
| | - Chongjian Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ming Zhang
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
| | - Dongsheng Hu
- Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; The Third Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, Guangdong, People's Republic of China; Guangdong Key Laboratory for Genome Stability & Disease Prevention, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
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Yang HK, Han K, Park YM, Kwon HS, Yoon KH, Lee SH. Different effect of alcohol consumption on hypertension according to metabolic health status. J Hum Hypertens 2015; 30:591-8. [DOI: 10.1038/jhh.2015.102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 08/09/2015] [Accepted: 08/14/2015] [Indexed: 01/22/2023]
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Toshikuni N, Fukumura A, Hayashi N, Nomura T, Tsuchishima M, Arisawa T, Tsutsumi M. Comparison of the relationships of alcoholic and nonalcoholic fatty liver with hypertension, diabetes mellitus, and dyslipidemia. J Clin Biochem Nutr 2012; 52:82-8. [PMID: 23341703 PMCID: PMC3541424 DOI: 10.3164/jcbn.12-55] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2012] [Accepted: 06/20/2012] [Indexed: 12/14/2022] Open
Abstract
We compared the relationships of alcoholic fatty liver and nonalcoholic fatty liver with hypertension, diabetes mellitus, and dyslipidemia. Using a nationwide Japanese survey, we collected data on subjects with biopsy-proven alcoholic fatty liver or nonalcoholic fatty liver. Multiple logistic regression analysis was performed to determine whether alcoholic fatty liver and nonalcoholic fatty liver are associated factors for these diseases. Data on 191 subjects (65, alcoholic fatty liver; 126, nonalcoholic fatty liver) were analyzed. Alcoholic fatty liver (odds ratio, 2.54; 95% confidence interval, 1.06–6.32; p = 0.040), age ≥55 years, and body mass index ≥25 kg/m2 were correlated with hypertension, whereas nonalcoholic fatty liver (odds ratio, 2.32; 95% confidence interval, 1.08–5.20; p = 0.035) and serum γ-glutamyl transpeptidase levels ≥75 IU/l were correlated with dyslipidemia. Furthermore, we found that there were biological interactions between alcoholic fatty liver and body mass index ≥25 kg/m2 in ≥55-year-old subjects (attributable proportion due to interaction, 0.68; 95% confidence interval, 0.19–1.17), as well as between alcoholic fatty liver and age ≥55 years in subjects with body mass index ≥25 kg/m2 (attributable proportion due to interaction, 0.71; 95% confidence interval, 0.24–1.18). Alcoholic fatty liver was more strongly associated with hypertension than nonalcoholic fatty liver and nonalcoholic fatty liver was more strongly associated with dyslipidemia than alcoholic fatty liver. Moreover, alcoholic fatty liver, obesity, and older age may interact to influence hypertension status.
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Affiliation(s)
- Nobuyuki Toshikuni
- Department of Gastroenterology, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa 920-0293, Japan
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Luo W, Guo Z, Hao C, Yao X, Zhou Z, Wu M, Liu J. Interaction of current alcohol consumption and abdominal obesity on hypertension risk. Physiol Behav 2012; 122:182-6. [PMID: 23092555 DOI: 10.1016/j.physbeh.2012.10.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Revised: 08/20/2012] [Accepted: 10/15/2012] [Indexed: 01/27/2023]
Abstract
The high prevalence of alcohol consumption and abdominal obesity and increased incidence of essential hypertension (EH) in China indicates that there may be an interaction between alcohol consumption and abdominal obesity on EH risk. Therefore, we aimed to examine the independent and combined effects of alcohol consumption and abdominal obesity on risk of EH in a Chinese cohort. We analyzed data from a population-based prospective cohort of 2778 participants aged 35-74 years from Jiangsu China who were free of hypertension, diabetes and CVD at enrollment and were followed for hypertension events. Cox proportional hazards regression model was used to calculate the hazard ratio (HR) of hypertension and corresponding 95% confidence interval (CI). Logistic regression model was used to examine the interaction between alcohol consumption and abdominal obesity on risk of hypertension. After adjusting for age, sex, smoking status, family history of hypertension, current alcohol consumption significantly increased EH risk. Compared with those without alcohol consumption, the hazard ratio of EH for participants with alcohol consumption was 1.65 (95% confidence interval 1.29-2.12). There was a statistically significant additive interaction between current alcohol consumption and abdominal obesity on EH risk. The risk of EH for current alcohol consumers with abdominal obesity was 4.49 times as high as the sum of risks in participants with a single condition alone. Both alcohol consumption and abdominal obesity are strong risk factors of EH in the Chinese population. Moreover, this study further demonstrates an additive interaction of alcohol consumption and abdominal obesity on EH risk.
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Affiliation(s)
- Wenshu Luo
- Changzhou Center for Disease Control and Prevention, Changzhou, Jiangsu 213022, China; Department of Public Health, Soochow university, SuZhou, Jiangsu 215123, China
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