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Chi X, Cen Y, Yang B, Zhang H, Pu Z, Feng J, Pan H, Zhang Y. Effects of dietary factors on hyperuricaemia and gout: a systematic review and meta-analysis of observational studies. Int J Food Sci Nutr 2024:1-21. [PMID: 39289820 DOI: 10.1080/09637486.2024.2400489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 06/18/2024] [Accepted: 08/23/2024] [Indexed: 09/19/2024]
Abstract
This study aimed to gather the best evidence on the relationship between dietary factors and hyperuricaemia and gout. We searched databases including PubMed, Embase, Cochrane, and Web of Science from database creation to July 2023. Meta-analysis showed that consumption of alcohol (OR: 1.41, 95% CI: 1.29-1.55; 1.60, 95% CI: 1.33-1.93, respectively), red meat (OR:1.27, 95% CI: 1.18-1.37; 1.32, 95% CI: 1.18-1.47, respectively), fructose (OR: 1.29, 95% CI: 1.21-1.38; 1.65, 95% CI: 1.36-2.01, respectively) and seafoods (OR: 1.40, 95% CI: 1.20-1.64; 1.29, 95% CI: 1.00-1.67, respectively) were positively associated with the risk of hyperuricaemia and gout, while vegetables (OR: 0.78, 95% CI: 0.71-0.85; 0.96,95% CI 0.74-1.24, respectively) were inversely associated. Dairy products (OR: 0.69, 95% CI: 0.61-0.78) and nuts (OR: 0.75, 95% CI: 0.60-0.93) were also inversely associated with the risk of hyperuricaemia. Soy products (OR: 0.86, 95% CI: 0.75-0.98) and coffee (OR: 0.56, 95% CI: 0.39-0.81) were negatively associated with the risk of gout.
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Affiliation(s)
- Xi Chi
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Yangyang Cen
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Bowen Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Huanzhen Zhang
- Tai'an Hospital of Traditional Chinese Medicine, Tai'an, China
| | - Zhiyu Pu
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
| | - Jing Feng
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Pudong, Shanghai, P.R. China
| | - Hongzhi Pan
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Pudong, Shanghai, P.R. China
| | - Yannan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, P.R. China
- Ningxia, Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, P.R. China
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Triglyceride-glucose index is significantly associated with the risk of hyperuricemia in patients with diabetic kidney disease. Sci Rep 2022; 12:19988. [PMID: 36411302 PMCID: PMC9678876 DOI: 10.1038/s41598-022-23478-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 11/01/2022] [Indexed: 11/23/2022] Open
Abstract
Triglyceride-glucose (TyG) index has been proposed to be a simple, economical, and reliable marker of insulin resistance. We aimed to investigate whether TyG is an independent predictor of hyperuricemia in diabetic kidney disease (DKD) populations by conducting a cross-sectional and longitudinal study. A total of 6,471 patients were enrolled in cross-sectional analysis, and 3,634 patients without hyperuricemia at the baseline were included in longitudinal analysis and were followed up for a median of 23.0 months. Hyperuricemia was categorized as a serum uric acid level ≥ 420 umol/L (7 mg/dL). In this study, 19.58% of participants had hyperuricemia. In the cross-sectional analysis, multivariate logistics regression analysis showed that the ORs (95% CI) for hyperuricemia in the second, third, and fourth TyG quartiles were 1.40 (95% CI 0.73-2.65), 1.69 (95% CI 0.90-3.18), and 4.53 (95% CI 2.39-8.57), respectively, compared with the first quartile. Longitudinally, the Kaplan-Meier survival analysis showed that higher TyG levels predicted higher incidence of hyperuricemia. Multivariate Cox regression model revealed that the hazard ratios for hyperuricemia in the upper quartiles of the TyG index were 1.69 (95% CI 0.97-2.93), 2.23 (95% CI 1.33-3.75), and 2.50 (95% CI 1.46-4.27), respectively, compared with the first quartile. Moreover, the subgroup analyses revealed that the relationship between TyG levels and hyperuricemia was robust in DKD patients. Our findings indicate a significant independent correlation between the TyG index and the risk of hyperuricemia in DKD patients.
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Zou C, Wang Z, Huang W, Lu J, Guo VY, Zhang Y, Zang S, Yang J, Han L, Jiang G. Linear and non-linear Mendelian randomization analyses of sex-specific associations between sleep duration and hyperuricemia. Front Nutr 2022; 9:920791. [PMID: 36337652 PMCID: PMC9632753 DOI: 10.3389/fnut.2022.920791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 09/13/2022] [Indexed: 11/15/2022] Open
Abstract
Background Observational studies have suggested a potential non-linear association between sleep duration and hyperuricemia. However, the causal nature and sex-specific differences are poorly understood. We aimed to determine the shape of sex-specific causal associations between sleep duration and hyperuricemia in the UK Biobank. Methods Logistic regression was used to investigate the observational association between self-reported sleep duration and hyperuricemia among 387,980 white British participants (mean age: 56.9 years and 46.0% males). Linear and non-linear Mendelian Randomization (MR) analyses were performed to assess the causal association between continuous sleep duration and hyperuricemia. The causal effects of genetically predicted short (<7 h) and long (>8 h) sleep durations on hyperuricemia were further estimated, respectively. Results Traditional observational analysis suggested U- and J-shaped associations between sleep duration and hyperuricemia in females and males, respectively. Linear MR did not support the causal effect of sleep duration on hyperuricemia. Non-linear MR demonstrated an approximately U-shaped causal association between continuous sleep duration and hyperuricemia in overall participants and females, but not in males. Genetically predicted short sleep duration was significantly associated with hyperuricemia in females (OR [95% CI]: 1.21 [1.08–1.36]; P = 0.001), but not in males (1.08 [0.98–1.18]; P = 0.137). By contrast, genetically predicted long sleep duration was not significantly associated with the risk of hyperuricemia in either females or males. Conclusion Genetically predicted short sleep duration is a potential causal risk factor for hyperuricemia for females but has little effect on males. Long sleep duration does not appear to be causally associated with hyperuricemia.
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Affiliation(s)
- Chenfeng Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhenqian Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Wenyu Huang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jiawen Lu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Vivian Yawei Guo
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuying Zhang
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Shufei Zang
- Department of Endocrinology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China
| | - Jinying Yang
- Department of Obstetrics, Longgang District Maternal & Child Healthcare Hospital of Shenzhen City, Shenzhen, China,*Correspondence: Guozhi Jiang, ;
| | - Liyuan Han
- Department of Global Health, Ningbo Institute of Life and Health Industry, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China,*Correspondence: Guozhi Jiang, ;
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China,*Correspondence: Guozhi Jiang, ;
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Zhang T, Rayamajhi S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang Y, Zhang S, Wang X, Zhang J, Li H, Thapa A, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Edible mushroom consumption and incident hyperuricemia: results from the TCLSIH cohort study. Food Funct 2021; 12:9178-9187. [PMID: 34606546 DOI: 10.1039/d1fo00650a] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background: Basic studies have found that xanthine oxidase inhibitors extracted from mushrooms have inhibitory effects on hyperuricemia. However, the association between mushroom consumption and hyperuricemia is unknown in humans. Objective: We therefore designed a large-scale cohort study to examine whether mushroom consumption is a protective factor for developing hyperuricemia in adults. Methods: This prospective cohort study investigated 19 830 participants (mean age: 39.4 years; and 9906 [50.0%] men) who were free of hyperuricemia, cardiovascular disease, and cancer at the baseline. Mushroom consumption was measured at the baseline using a validated food frequency questionnaire. Hyperuricemia is defined as serum uric acid levels >420 μmol L-1 in men and >350 μmol L-1 in women. Cox proportional hazards regression models were used to examine the association of mushroom consumption with incident hyperuricemia. Restricted cubic spline regression was used to estimate the dose-response relationship between mushroom consumption and risk of hyperuricemia. Results: A total of 4260 first incident cases of hyperuricemia occurred during 61 421 person-years of follow-up (median follow-up of 4.2 years). After adjusting for demographic characteristics, lifestyle factors, dietary intake, and inflammatory markers, the multivariable hazard ratios (95% confidence intervals) for incident hyperuricemia were 1.00(reference) for <1.76 g per 1000 kcal per day, 0.93(0.86, 1.01) for 1.76-2.84 g per 1000 kcal per day, 0.93(0.85, 1.01) for 2.85-5.52 g per 1000 kcal per day, and 0.88 (0.80, 0.96) for >5.52 g per 1000 kcal per day, respectively (P for trend = 0.007). Conclusions: This population-based prospective cohort study has firstly demonstrated that higher mushroom consumption is significantly associated with lower incidence of hyperuricemia among general adults.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Sabina Rayamajhi
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. .,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Amrish Thapa
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. .,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.,Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Zhang T, Rayamajhi S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang Y, Zhang S, Wang X, Zhang J, Li H, Thapa A, Sun S, Wang X, Zhou M, Jia Q, Song K, Niu K. Dietary patterns and risk for hyperuricemia in the general population: Results from the TCLSIH cohort study. Nutrition 2021; 93:111501. [PMID: 34717108 DOI: 10.1016/j.nut.2021.111501] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 09/04/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Prospective cohort studies linking dietary patterns and hyperuricemia (HUA) are limited, especially in Asian populations. The aim of this study was to prospectively investigate the association between various dietary patterns and risk for HUA in a general adult population. METHOD We used data from the TCLSIH (Tianjin Chronic Low-grade Systemic Inflammation and Health) cohort study of 20 766 men and women who were free from HUA, cancer, and cardiovascular disease at baseline. Dietary patterns at baseline were identified with factor analysis based on responses to a validated 81-item food frequency questionnaire. HUA was defined as serum uric acid levels >420 μmol/L in men and >350 μmol/L in women. Cox proportional hazards regression models were used to examine the association of dietary patterns with incident HUA. RESULTS In all, 4389 first incident cases of HUA occurred during 73 822 person-years of follow-up (median follow-up of 4.2 y). Three main dietary patterns were extracted. They were the vegetable, sweet food, and animal food patterns. After adjusting for demographic characteristics, lifestyle factors, other dietary pattern scores, and inflammatory markers, comparing the highest with the lowest quartiles of dietary pattern scores, the multivariable hazard ratios (95% confidence interval) of HUA were 0.79 (0.72-0.87; Ptrend < 0.0001) for the vegetable pattern, 1.22 (1.12-1.33; Ptrend < 0.0001) for the sweet food pattern, and 1.24 (1.13-1.37; Ptrend < 0.0001) for the animal food pattern. CONCLUSIONS Dietary patterns rich in animal or sweet foods were positively associated with a higher risk for HUA, whereas the vegetable pattern was negatively associated.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Sabina Rayamajhi
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Amrish Thapa
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Siqueira JH, Pereira TSS, Velasquez-Melendez G, Barreto SM, Benseñor IM, Mill JG, Molina MCB. Sugar-sweetened soft drinks consumption and risk of hyperuricemia: Results of the ELSA-Brasil study. Nutr Metab Cardiovasc Dis 2021; 31:2004-2013. [PMID: 34119374 DOI: 10.1016/j.numecd.2021.04.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS The prospective association between sugar-sweetened beverages consumption and hyperuricemia is controversial. The aim was to investigate the association of the consumption of sugar-sweetened soft drinks and unsweetened fruit juices with the incidence of hyperuricemia and the levels of serum uric acid in the participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). METHODS AND RESULTS Longitudinal analysis in ELSA-Brasil participants (baseline 2008-2010 and follow-up 2012-2014). The sample consisted of 10,072 civil servants (35-74 years, both sexes). The consumption of beverages estimated by a food frequency questionnaire (baseline) was divided into five categories: nonconsumption and quartiles (≥0.1 mL/day). Hyperuricemia was defined as uric acid ≥7.0 mg/dL (men) and ≥5.7 mg/dL (women). Poisson regression with robust variance and multiple linear regression were tested. The average consumption of soft drinks was 84 ± 191 mL/day in men and 42 ± 128 mL/day in women. After 4 years of follow-up, the higher consumption of soft drinks (men: 401 ± 303 mL/day; women: 390 ± 290 mL/day) increased the relative risk of hyperuricemia by 30% (men) and 40% (women), and was associated with increased mean uric acid (men: β = 0.14 mg/dL; 95% CI 0.41-0.24; women: β = 0.11 mg/dL; 95% CI 0.00-0.21). The consumption of unsweetened juice was not associated with hyperuricemia. CONCLUSION High consumption of sugar-sweetened soft drinks is associated with an increased relative risk of hyperuricemia and elevated serum uric acid levels in Brazilian adults.
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Affiliation(s)
- Jordana H Siqueira
- Postgraduate Program in Public Health, Federal University of Espírito Santo, ES, Brazil
| | - Taísa S S Pereira
- Health Sciences Department, Universidad de las Américas Puebla, Cholula, Puebla, Mexico
| | - Gustavo Velasquez-Melendez
- Department of Maternal and Child Nursing and Public Health, Nursing School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sandhi M Barreto
- Postgraduate Program in Public Health, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Isabela M Benseñor
- Clinical and Epidemiological Research Center, University Hospital, University of São Paulo, São Paulo, Brazil
| | - José G Mill
- Postgraduate Program in Public Health, Federal University of Espírito Santo, ES, Brazil
| | - Maria C B Molina
- Postgraduate Program in Public Health, Federal University of Espírito Santo, ES, Brazil.
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Zhang T, Gan S, Ye M, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Zhang S, Wang Y, Wang X, Sun S, Wang X, Zhou M, Jiao H, Jia Q, Song K, Wu Y, Niu K. Association between consumption of ultra-processed foods and hyperuricemia: TCLSIH prospective cohort study. Nutr Metab Cardiovasc Dis 2021; 31:1993-2003. [PMID: 34119375 DOI: 10.1016/j.numecd.2021.04.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND AIMS Emerging evidence suggests that consumption of ultra-processed foods (UPF) plays a role in the development of chronic diseases, but evidence of their influence on hyperuricemia is limited. We therefore designed a cohort study to examine whether UPF consumption increase the risk of hyperuricemia in adults. METHODS AND RESULTS This was a prospective study (n = 18,444) performed in Tianjin, China from 2013 to 2019. Participants that were aged 18 years and over and with no history of hyperuricemia, were followed up for 1-6 years (median follow-up duration = 4.2 years). UPF consumption was assessed by a validated semi-quantitative food frequency questionnaire. Hyperuricemia was defined as serum uric acid levels ≥7.0 mg/dL in males and ≥ 6 mg/dL in females. Multivariable Cox proportional hazards regression models were used to assess the association between UPF consumption and the risk of hyperuricemia. Restricted cubic spline regression was used to estimate the dose-response association between UPF consumption and risk of hyperuricemia. During follow-up period, the incidence of hyperuricemia was 20.3% in general population (27.7% in males and 13.2% in females). In the final multivariate models, the hazard ratios (95% confidence interval) for hyperuricemia across energy adjusted UPF consumption quartiles were 1.00 (reference), 1.04 (0.94, 1.14), 1.11 (1.01, 1.23), 1.16 (1.05, 1.28) (p for trend = 0.02) in general population. CONCLUSIONS This population-based prospective cohort study suggests that increased consumption of UPF is independently associated the risk of hyperuricemia.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shinan Gan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Mingxu Ye
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xing Wang
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Ming Zhou
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Huanli Jiao
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qiyu Jia
- The Second Hospital of Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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Wang YZ, Zhou C, Zhu LJ, He XLS, Li LZ, Zheng X, Xu WF, Dong YJ, Li B, Yu QX, Lv GY, Chen SH. Effects of Macroporous Resin Extract of Dendrobium officinale Leaves in Rats with Hyperuricemia Induced by Fructose and Potassium Oxonate. Comb Chem High Throughput Screen 2021; 25:1294-1303. [PMID: 34053424 DOI: 10.2174/1386207324666210528114345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 03/09/2021] [Accepted: 04/04/2021] [Indexed: 11/22/2022]
Abstract
AIM AND OBJECTIVE Fructose, as a ubiquitous monosaccharide, can promote ATP consumption and elevate circulating uric acid (UA) levels. Our previous studies confirmed that the macroporous resin extract of Dendrobium officinale leaves (DoMRE) could reduce the UA level of rats with hyperuricemia induced by a high-purine diet. This study aimed to investigate whether DoMRE had a UA-lowering effect on rats with hyperuricemia caused by fructose combined with potassium oxonate, so as to further clarify the UA-lowering effect of DoMRE, and to explore the UA-lowering effect of DoMRE on both UA production and excretion. MATERIALS AND METHODS Rats with hyperuricemia induced by fructose and potassium oxonate were administered with DoMRE and vehicle control, respectively, to compare the effects of the drugs. At the end of the experiment, the serum uric acid (SUA) and creatinine (Cr) levels were measured using an automatic biochemical analyzer, the activities of xanthine oxidase (XOD) were measured using an assay kit, and the protein expression of urate transporter 1 (URAT1), glucose transporter 9 (GLUT9), and ATP-binding cassette superfamily G member 2 (ABCG2) were assessed using immunohistochemical and western blot analyses. Hematoxylin and eosin staining was used to assess the histological changes in the kidney, liver, and intestine. RESULTS Rats with hyperuricemia were induced by fructose and potassiumFructose and potassium induced hyperuricemia in rats. Meanwhile, the activities of XOD were markedly augmented, the expression of URAT1 and GLUT9 was promoted, and the expression of ABCG2 was reduced, which were conducive to the elevation of UA. However, exposure to DoMRE reversed these fructose- and potassium oxonate-induced negative alternations in rats. The activities of XOD were recovered to the normal level, reducing UA formation; the expression of URAT1, ABCG2, and GLUT9 returned to the normal level, resulting in an increase in renal urate excretion. CONCLUSION DoMRE reduces UA levels in rats with hyperuricemia induced by fructose combined with potassium oxonate by inhibiting XOD activity and regulating the expression of ABCG2, URAT1, and GLUT9. DoMRE is a potential therapeutic agent for treating hyperuricemia through inhibiting UA formation and promoting UA excretion.
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Affiliation(s)
- Yu-Zhi Wang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Cong Zhou
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Li-Jie Zhu
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Xing-Li-Shang He
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Lin-Zi Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Xiang Zheng
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Wan-Feng Xu
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Ying-Jie Dong
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Bo Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Qiao-Xian Yu
- Zhejiang Senyu Co., Ltd, Yiwu, Zhejiang, 322099, China
| | - Gui-Yuan Lv
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China
| | - Su-Hong Chen
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
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9
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Niu Y, Zhao XL, Ruan HJ, Mao XM, Tang QY. Uric acid is associated with adiposity factors, especially with fat mass reduction during weight loss in obese children and adolescents. Nutr Metab (Lond) 2020; 17:79. [PMID: 32983243 PMCID: PMC7510267 DOI: 10.1186/s12986-020-00500-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 09/09/2020] [Indexed: 12/12/2022] Open
Abstract
Background Current adult studies suggest that uric acid (UA) is associated with body fat, but the relationship in obese children is unclear. Thus, we aim to evaluate the association between uric acid and body composition of obese children. Methods A total of 79 obese children were included in this study, and 52 children (34 boys and 18 girls) underwent a 6-week weight loss camp, including 34 boys and 18 girls. Six-week weight-loss interventions were performed on all participants through aerobic exercise and appropriate dietary control. Laboratory tests and body composition were collected before and after the intervention. Results Before the intervention, correlation analysis demonstrated that uric acid was positively correlated with height, weight, body mass index (BMI), waist circumference, hip circumference, fat mass (FM), and free fat mass (FFM) with adjusting for age and gender (P < 0.05). After 6 weeks of intervention, the participants gained 3.12 ± 0.85 cm in height, body fat percentage decreased by 7.23 ± 1.97%, and lost 10.30 ± 2.83 kg in weight. Univariate and multivariate analysis indicated that uric acid at baseline was associated with FM reduction during weight loss (P < 0.05). Conclusions This study is the first report that uric acid is associated with BMI and FM, and may play an important role in the reduction of FM during weight loss in obese children and adolescents. The interaction between UA and adiposity factors and its underlying mechanisms need to be further explored. Trial registration This study was registered in Clinical Trials.gov (NCT03490448) and approved by the Ethics Committee of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine.
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Affiliation(s)
- Yang Niu
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Xue-Lin Zhao
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Hui-Juan Ruan
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Xiao-Meng Mao
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China
| | - Qing-Ya Tang
- Department of Clinical Nutrition, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092 China.,Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, 200092 China
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10
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Zhang T, Bian S, Gu Y, Meng G, Zhang Q, Liu L, Wu H, Zhang S, Wang Y, Wang X, Cao X, Li H, Liu Y, Li X, Wang X, Sun S, Wang X, Zhou M, Jiao H, Jia Q, Song K, Wu XH, Wu Y, Niu K. Sugar-containing carbonated beverages consumption is associated with hyperuricemia in general adults: A cross-sectional study. Nutr Metab Cardiovasc Dis 2020; 30:1645-1652. [PMID: 32669242 DOI: 10.1016/j.numecd.2020.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Revised: 04/22/2020] [Accepted: 05/19/2020] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND AIMS Research evidence supports a positive link between sugar-containing soft beverages and hyperuricemia. However, data thus far are mostly from Caucasian populations. And in sugar-containing soft beverages overall, sugar-containing carbonated beverages are purchased most often. Therefore, we investigated whether the high consumption of sugar-containing carbonated beverages was associated with the prevalence of hyperuricemia among adults in China. METHODS AND RESULTS A cross-sectional study was conducted with 25,507 adults (13,013 men and 12,494 women) in Tianjin, China. Sugar-containing carbonated beverages intake was assessed by a validated semi-quantitative food frequency questionnaire. Hyperuricemia was defined as serum uric acid levels ≥7.0 mg/dL in men and ≥ 6 mg/dL in women. The association between carbonated beverages consumption and hyperuricemia was assessed by multiple logistic regression analysis. The prevalence of hyperuricemia in men and women was 23.4% and 8.2%, respectively. After adjustments for potential confounding factors, the odds ratios (95% confidence interval) for hyperuricemia across sugar-containing carbonated beverages consumption were 1.00 (reference) for almost never, 1.18 (1.05, 1.32) for <1-3 cups/week, 1.49 (1.25, 1.77) for ≥4 cups/week in men (P for trend < 0.005) and 1.11 (0.91, 1.34) for <1-3 cups/week (P for trend = 0.27), 1.70 (1.23, 2.31) for ≥4 cups/week in women (P for trend < 0.001), respectively. CONCLUSIONS This cross-sectional survey demonstrated that increased consumption of sugar-containing carbonated beverages is associated with hyperuricemia among adults in China. Restricted sugar-containing carbonated beverages intake might be beneficial to the prevention of hyperuricemia in the general population.
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Affiliation(s)
- Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shanshan Bian
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xingqi Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yunyun Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoyue Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaohe Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Ming Zhou
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Huanli Jiao
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Qiyu Jia
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao-H Wu
- College of Pharmacy, Tianjin Medical University, Tianjin 300070, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
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11
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Meneses-León J, León-Maldonado L, Macías N, Torres-Ibarra L, Hernández-López R, Rivera-Paredez B, Flores M, Flores YN, Barrientos-Gutiérrez T, Quezada-Sánchez AD, Velázquez-Cruz R, Salmerón J. Sugar-sweetened beverage consumption and risk of hyperuricemia: a longitudinal analysis of the Health Workers Cohort Study participants in Mexico. Am J Clin Nutr 2020; 112:652-660. [PMID: 32644154 PMCID: PMC7458765 DOI: 10.1093/ajcn/nqaa160] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 05/29/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The elevated consumption of sugar-sweetened beverages (SSBs) in Mexico is an important public health concern. However, the association between SSB consumption and hyperuricemia has been scarcely studied and not well documented. OBJECTIVES To prospectively evaluate the association between SSB consumption and risk of hyperuricemia in Mexican adults. METHODS A longitudinal analysis was conducted using data from the Health Workers Cohort Study. Participants were followed from 2004 to 2018, with measurements every 6 y. The analysis sample consisted of 1300 adults, aged 18 to 85 y. SSB consumption during the previous year was evaluated through a semiquantitative FFQ. Hyperuricemia was defined as a concentration of uric acid ≥7.0 mg/dL in men and ≥5.7 mg/dL in women. We evaluated the association of interest using 2 methodologies: fixed-effects logistic regression and generalized estimating equations (GEEs). Potential confounders were included in both approaches. RESULTS At baseline, median intake of SSBs was 472.1 mL/wk (IQR: 198.8-1416.4 mL/wk), and 233 participants had hyperuricemia. Uric acid was higher in participants with an SSB intake ≥7 servings/wk, compared with those with an intake <1 serving/wk (P < 0.001). Participants who changed from the lowest to the highest category of servings consumption experienced 2.6 increased odds of hyperuricemia (95% CI: 1.27, 5.26). Results from the GEE model indicated the odds of hyperuricemia increased by 44% (OR=1.44; 95% CI: 1.13, 1.84) in the 2-6 servings/wk group, and by 89% (OR=1.89; 95% CI: 1.39, 2.57) in the ≥7 servings/wk categories, compared with the <1 serving/wk category. Diet soft drinks were not associated with hyperuricemia. CONCLUSIONS Our results suggest that the consumption of SSBs is associated with an increased risk of hyperuricemia in Mexican adults, but diet soft drink consumption is not, which supports the need to strengthen existing recommendations to reduce the intake of SSBs.The Health Workers Cohort Study (HWCS) has been approved by the Institutional Review Board of the Mexican Social Security Institute (12CEI 09 006 14), and the National Institute of Public Health of Mexico (13CEI 17 007 36).
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Affiliation(s)
- Joacim Meneses-León
- Research Center in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Leith León-Maldonado
- CONACYT, Center for Population Health Research, National Institute for Public Health, Cuernavaca, Morelos, Mexico
| | - Nayeli Macías
- Center for Nutrition and Health Research, National Institute for Public Health, Cuernavaca, Morelos, Mexico
| | - Leticia Torres-Ibarra
- Research Center in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico,Center for Population Health Research, National Institute for Public Health, Cuernavaca, Morelos, Mexico
| | - Rubí Hernández-López
- Research Center in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Berenice Rivera-Paredez
- Research Center in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
| | - Mario Flores
- Center for Nutrition and Health Research, National Institute for Public Health, Cuernavaca, Morelos, Mexico
| | - Yvonne N Flores
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, Mexico,UCLA Department of Health Policy and Management, Center for Cancer Prevention and Control Research, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | | | | | - Rafael Velázquez-Cruz
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine, Mexico City, Mexico
| | - Jorge Salmerón
- Research Center in Policy, Population, and Health, School of Medicine, National Autonomous University of Mexico, Mexico City, Mexico
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12
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Ebrahimpour‐koujan S, Saneei P, Larijani B, Esmaillzadeh A. Consumption of sugar‐sweetened beverages and serum uric acid concentrations: a systematic review and meta‐analysis. J Hum Nutr Diet 2020; 34:305-313. [DOI: 10.1111/jhn.12796] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 06/03/2020] [Accepted: 06/15/2020] [Indexed: 12/19/2022]
Affiliation(s)
- S. Ebrahimpour‐koujan
- Students' Scientific Research Center Tehran University of Medical Sciences Tehran Iran
- Department of Community Nutrition School of Nutritional Sciences and Dietetics Tehran University of Medical Sciences Tehran Iran
| | - P. Saneei
- Department of Community Nutrition School of Nutrition and Food Science Isfahan University of Medical Sciences Isfahan Iran
| | - B. Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute Tehran University of Medical Sciences Tehran Iran
| | - A. Esmaillzadeh
- Department of Community Nutrition School of Nutritional Sciences and Dietetics Tehran University of Medical Sciences Tehran Iran
- Department of Community Nutrition School of Nutrition and Food Science Isfahan University of Medical Sciences Isfahan Iran
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular ‐Cellular Sciences Institute Tehran University of Medical Sciences Tehran Iran
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13
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O'Neil CE, Nicklas TA, Saab R, Fulgoni VL. Relationship of added sugars intakes with physiologic parameters in adults: an analysis of national health and nutrition examination survey 2001-2012. AIMS Public Health 2020; 7:450-468. [PMID: 32968670 PMCID: PMC7505778 DOI: 10.3934/publichealth.2020037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 06/22/2020] [Indexed: 11/23/2022] Open
Abstract
INTRODUCTION Consumption of added sugars (AS) has been associated with increased risk for liver disease and risk factors for cardiovascular disease. The objective of this study was to further understand the relationship of AS intake with liver enzymes and risk factors for cardiovascular disease in adults (n = 29,687) participating in the National Health and Nutrition Examination Survey (NHANES) 2001-2012. METHODS Individual usual intake (IUI) of AS was estimated using the Markov Chain Monte Carlo ratio method using two days of 24-hour dietary recalls gathered using standardized protocols. Subjects were separated into six consumption groups: 0 to <5%, 5 to <10%, 10 to <15%, 15 to <20%, 20 to <25% and ≥25% of energy as added sugars. Linear and group trends were determined using regression analyses for liver enzymes, cardiovascular risk factors, weight parameters, glucose, metabolic syndrome, and C-reactive protein. Logistic regression calculated odds ratios for these biomarkers above established risk levels (p < 0.01). RESULTS There was an inverse group trend association with AS IUI for lower body mass index (beta = -0.12 kg/m2 across AS intake groups); % overweight/obese or % obese also showed inverse group trend (-1.44, -0.77, % units across AS intake groups, respectively). Liver enzymes did not show a significant association with AS IUI. Mean plasma glucose levels (mg/dL) showed an inverse linear (beta = -0.13 mg/dL per AS intake); and group association with energy from AS IUI (beta = -0.71mg/d L across AS intake groups). There was no association of AS intake with the risk of elevated uric acid levels; however, the odds of reduced uric acid levels was 17% lower with increasing intake of energy from AS IUI in group trend analysis only (0.83; 0.72-0.95 [99th CI]). CONCLUSION Although it is sensible to consume AS in moderation, results suggested that higher intakes of AS were not consistently associated with physiologic parameters. Since the data were cross-sectional, they cannot be used to assess cause and effect. Thus, additional studies are warranted to confirm these findings with more rigorous study designs.
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Affiliation(s)
- Carol E O'Neil
- LSU Agricultural Center Professor Emeritus, Baton Rouge, LA, USA
| | | | - Rabab Saab
- USDA/ARS/CNRC, Baylor College of Medicine, Houston, TX, USA
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14
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Flores YN, Toth S, Crespi CM, Ramírez-Palacios P, McCarthy WJ, Briseño-Pérez A, Granados-García V, Salmerón J. Risk of developing pre-diabetes or diabetes over time in a cohort of Mexican health workers. PLoS One 2020; 15:e0229403. [PMID: 32210432 PMCID: PMC7094846 DOI: 10.1371/journal.pone.0229403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 02/05/2020] [Indexed: 11/19/2022] Open
Abstract
AIM To determine the association between known risk factors (e.g., obesity, metabolic syndrome and its components) and the development of pre-diabetes or diabetes over time in a cohort of Mexican health workers. METHODS Participants in the Mexican Health Worker Cohort Study with complete information at two waves of data collection, 2004-2006 (W1) and 2011-2013 (W2), were included in the analysis (n = 1,174). Multivariable binary and multinomial logistic regression were used to examine the cross-sectional associations between specific risk factors and diabetes status (diabetes, pre-diabetes, or neither) at W1 and the longitudinal associations between changes in risk factors and progression of diabetes status from W1 to W2, respectively. RESULTS Mean time between waves was 7.0 years (SD 1.1). Prevalence of pre-diabetes and diabetes was 16% and 10% at W1 and increased to 30% and 16% at W2, respectively. The cross-sectional prevalence of pre-diabetes and diabetes was significantly higher among men, participants over the age of 45 years, and individuals who were overweight or obese or had metabolic syndrome (MS), three or more components of the MS, elevated alanine aminotransferase (ALT) levels, or elevated uric acid. In longitudinal analyses, remaining obese or gaining weight between waves was associated with an increased risk of developing pre-diabetes. A greater risk of developing pre-diabetes or diabetes was also observed among individuals who either maintained or acquired MS, elevated ALT, or elevated uric acid (only for diabetes) from W1 to W2. CONCLUSIONS Weight gain and acquiring or maintaining MS, elevated ALT levels, or elevated uric acid were associated with a significant risk of developing pre-diabetes or diabetes. Our findings, especially in the context of the obesity epidemic in Mexico, point towards an urgent need for initiatives to help reduce excess weight in order to avert future cases of pre-diabetes and diabetes.
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Affiliation(s)
- Yvonne N. Flores
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, México
- UCLA Department of Health Policy and Management and Kaiser Permanente Center for Health Equity, Fielding School of Public Health, Los Angeles, California, United States of America
- UCLA Cancer Prevention and Control Research Center, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Samantha Toth
- UCLA Department of Biostatistics, Fielding School of Public Health, Los Angeles, California, United States of America
| | - Catherine M. Crespi
- UCLA Cancer Prevention and Control Research Center, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, California, United States of America
- UCLA Department of Biostatistics, Fielding School of Public Health, Los Angeles, California, United States of America
| | - Paula Ramírez-Palacios
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, México
| | - William J. McCarthy
- UCLA Department of Health Policy and Management and Kaiser Permanente Center for Health Equity, Fielding School of Public Health, Los Angeles, California, United States of America
- UCLA Cancer Prevention and Control Research Center, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, California, United States of America
| | - Arely Briseño-Pérez
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Delegación Morelos, Instituto Mexicano del Seguro Social, Cuernavaca, Morelos, México
| | - Víctor Granados-García
- Unidad de Investigación Epidemiológica y en Servicios de Salud- Área Envejecimiento, Instituto Mexicano del Seguro Social, Ciudad de México, México
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud, Universidad Nacional Autónoma de México, Ciudad de México, México
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15
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Non-pharmacological and Food Gout Management: Current and Future Directions. Fam Med 2019. [DOI: 10.30841/2307-5112.5-6.2019.194833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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16
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Taskinen MR, Packard CJ, Borén J. Dietary Fructose and the Metabolic Syndrome. Nutrients 2019; 11:nu11091987. [PMID: 31443567 PMCID: PMC6770027 DOI: 10.3390/nu11091987] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 08/06/2019] [Accepted: 08/08/2019] [Indexed: 12/16/2022] Open
Abstract
Consumption of fructose, the sweetest of all naturally occurring carbohydrates, has increased dramatically in the last 40 years and is today commonly used commercially in soft drinks, juice, and baked goods. These products comprise a large proportion of the modern diet, in particular in children, adolescents, and young adults. A large body of evidence associate consumption of fructose and other sugar-sweetened beverages with insulin resistance, intrahepatic lipid accumulation, and hypertriglyceridemia. In the long term, these risk factors may contribute to the development of type 2 diabetes and cardiovascular diseases. Fructose is absorbed in the small intestine and metabolized in the liver where it stimulates fructolysis, glycolysis, lipogenesis, and glucose production. This may result in hypertriglyceridemia and fatty liver. Therefore, understanding the mechanisms underlying intestinal and hepatic fructose metabolism is important. Here we review recent evidence linking excessive fructose consumption to health risk markers and development of components of the Metabolic Syndrome.
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Affiliation(s)
- Marja-Riitta Taskinen
- Research Program for Clinical and Molecular Medicine Unit, Diabetes and Obesity, University of Helsinki, 00029 Helsinki, Finland
| | - Chris J Packard
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Jan Borén
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital, 41345 Gothenburg, Sweden.
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Rivera-Paredez B, Macías-Kauffer L, Fernandez-Lopez JC, Villalobos-Comparán M, Martinez-Aguilar MM, de la Cruz-Montoya A, Ramírez-Salazar EG, Villamil-Ramírez H, Quiterio M, Ramírez-Palacios P, Romero-Hidalgo S, Villarreal-Molina MT, Denova-Gutiérrez E, Flores YN, Canizales-Quinteros S, Salmerón J, Velázquez-Cruz R. Influence of Genetic and Non-Genetic Risk Factors for Serum Uric Acid Levels and Hyperuricemia in Mexicans. Nutrients 2019; 11:nu11061336. [PMID: 31207883 PMCID: PMC6627998 DOI: 10.3390/nu11061336] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/29/2019] [Accepted: 06/10/2019] [Indexed: 12/21/2022] Open
Abstract
Risk of hyperuricemia is modified by genetic and environmental factors. Our aim was to identify factors associated with serum uric acid levels and hyperuricemia in Mexicans. A pilot Genome-wide association study GWAS was performed in a subgroup of participants (n = 411) from the Health Workers Cohort Study (HWCS). Single nucleotide polymorphisms (SNPs) associated with serum uric acid levels were validated in all the HWCS participants (n = 1939) and replicated in independent children (n = 1080) and adult (n = 1073) case-control studies. The meta-analysis of the whole HWCS and replication samples identified three SLC2A9 SNPs: rs1014290 (p = 2.3 × 10−64), rs3775948 (p = 8.2 × 10−64) and rs11722228 (p = 1.1 × 10−17); and an ABCG2 missense SNP, rs2231142 (p = 1.0 × 10−18). Among the non-genetic factors identified, the visceral adiposity index, smoking, the metabolic syndrome and its components (waist circumference, blood pressure, glucose and hyperlipidemia) were associated with increased serum uric acid levels and hyperuricemia (p < 0.05). Among the female HWCS participants, the odds ratio for hyperuricemia was 1.24 (95% CI, 1.01–1.53) per unit increase in soft drink consumption. As reported in other studies, our findings indicate that diet, adiposity and genetic variation contribute to the elevated prevalence of hyperuricemia in Mexico.
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Affiliation(s)
- Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | | | | | - Mayeli M Martinez-Aguilar
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Aldo de la Cruz-Montoya
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Eric G Ramírez-Salazar
- Consejo Nacional de Ciencia y Tecnología (CONACYT)-Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Manuel Quiterio
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública. Cuernavaca, Morelos 62100, Mexico.
| | - Paula Ramírez-Palacios
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
| | - Sandra Romero-Hidalgo
- Consorcio Genómica Computacional, Instituto Nacional de Medicina Genómica, Ciudad de México 14610, Mexico.
| | | | - Edgar Denova-Gutiérrez
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Cuernavaca, Morelos 62100, Mexico.
| | - Yvonne N Flores
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
- UCLA Department of Health Policy and Management, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA 90001, USA.
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Rafael Velázquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
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Ayoub-Charette S, Liu Q, Khan TA, Au-Yeung F, Blanco Mejia S, de Souza RJ, Wolever TM, Leiter LA, Kendall C, Sievenpiper JL. Important food sources of fructose-containing sugars and incident gout: a systematic review and meta-analysis of prospective cohort studies. BMJ Open 2019; 9:e024171. [PMID: 31061018 PMCID: PMC6502023 DOI: 10.1136/bmjopen-2018-024171] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 01/02/2019] [Accepted: 01/04/2019] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Sugar-sweetened beverages (SSBs) are associated with hyperuricaemia and gout. Whether other important food sources of fructose-containing sugars share this association is unclear. DESIGN To assess the relation of important food sources of fructose-containing sugars with incident gout and hyperuricaemia, we conducted a systematic review and meta-analysis of prospective cohort studies. METHODS We searched MEDLINE, Embase and the Cochrane Library (through 13 September 2017). We included prospective cohort studies that investigated the relationship between food sources of sugar and incident gout or hyperuricaemia. Two independent reviewers extracted relevant data and assessed the risk of bias. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method with random effects model and expressed as RR with 95% confidence intervals (CIs). The overall certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation system. RESULTS We identified three studies (1 54 289 participants, 1761 cases of gout), comparing the highest with the lowest level of exposure for SSBs, fruit juices and fruits. No reports were found reporting incident hyperuricaemia. Fruit juice and SSB intake showed an adverse association (fruit juice: RR=1.77, 95% CI 1.20 to 2.61; SSB: RR=2.08, 95% CI 1.40 to 3.08), when comparing the highest to lowest intake of the most adjusted models. There was no significant association between fruit intake and gout (RR 0.85, 95% CI 0.63 to 1.14). The strongest evidence was for the adverse association with SSB intake (moderate certainty), and the weakest evidence was for the adverse association with fruit juice intake (very low certainty) and lack of association with fruit intake (very low certainty). CONCLUSION There is an adverse association of SSB and fruit juice intake with incident gout, which does not appear to extend to fruit intake. Further research is needed to improve our estimates. TRIAL REGISTRATION NUMBER NCT02702375; Results.
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Affiliation(s)
- Sabrina Ayoub-Charette
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Qi Liu
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Tauseef A Khan
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Fei Au-Yeung
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Toronto, Ontario, Canada
| | - Thomas Ms Wolever
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril Kendall
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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19
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Carvajal SC, Huang S, Bell ML, Denman C, Guernsey de Zapien J, Cornejo E, Chang J, Staten LK, Rosales C. Behavioral and subjective health changes in US and Mexico border residing participants in two promotora-led chronic disease preventive interventions. HEALTH EDUCATION RESEARCH 2018; 33:522-534. [PMID: 30358830 PMCID: PMC6293312 DOI: 10.1093/her/cyy037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 09/25/2018] [Indexed: 06/08/2023]
Abstract
Chronic diseases are the primary health burden among Mexican-origin populations and health promotion efforts have not been able to change negative population trends. This research presents behavioral and subjective health impacts of two related community health worker (CHW) interventions conducted in the US-Mexico border region. Pasos Adelante (United States) and Meta Salud (Mexico) are 12-13 week CHW-led preventive interventions implemented with Mexico-origin adults. Curricula include active learning modules to promote healthy dietary changes and increasing physical activity; they also incorporate strategies to promote social support, empowerment and group exercise components responsive to their communities. Questionnaire data at baseline (N = 347 for Pasos; 171 for Meta Salud), program completion and 3-month follow-up were analyzed. Results showed statistically significant improvements in multiple reported dietary, physical activity and subjective health indicators. Furthermore, at follow-up across both cohorts there were ≥10% improvements in participants' meeting recommended physical activity guidelines, consumption of whole milk, days of poor mental health and self-rated health. While this study identifies some robust health improvements and contributes to the evidence base for these interventions current dissemination, the lack of change observed for some targeted behaviors (e.g. time sitting) suggests they may have stronger overall impacts with curricula refinement.
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Affiliation(s)
- S C Carvajal
- Mel and Enid Zuckerman College of Public Health, Health Promotion Sciences & Arizona Prevention Research Center
| | - S Huang
- Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ, USA
| | - M L Bell
- Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ, USA
| | - C Denman
- Centro de Estudios en Salud & Sociedad, El Colegio de Sonora, Hermosillo, Sonora, Mexico
| | - J Guernsey de Zapien
- Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ, USA
| | - E Cornejo
- Centro de Estudios en Salud & Sociedad, El Colegio de Sonora, Hermosillo, Sonora, Mexico
| | - J Chang
- Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Ave, Tucson, AZ, USA
| | - L K Staten
- Social and Behavioral Sciences, Richard M. Fairbanks School of Public Health, Indiana University, 1050 Wishard Blvd, RG, Indianapolis, IN, USA
| | - C Rosales
- Division of Public Health Practice & Translational Research, Mel and Enid Zuckerman College of Public Health, University of Arizona, 714 E. Van Buren Street, Building 4 – UA Phoenix Plaza 119G, Phoenix, AZ, USA
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20
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Ebrahimpour-Koujan S, Saneei P, Larijani B, Esmaillzadeh A. Consumption of sugar sweetened beverages and dietary fructose in relation to risk of gout and hyperuricemia: a systematic review and meta-analysis. Crit Rev Food Sci Nutr 2018; 60:1-10. [PMID: 30277800 DOI: 10.1080/10408398.2018.1503155] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Background: Findings on the association of sugar sweetened beverages (SSB) and fructose intakes with gout and hyperuricemia have been conflicting.Objective: We aimed to perform a systematic review and meta-analysis on studies that examined the association of SSB and fructose consumption with gout and hyperuricemia in adults.Methods: We searched PubMed, Scopus and Google Scholar up to Aug 2017 for all relevant published papers assessing SSB and fructose intakes and risk of gout and hyperuricemia. After excluding non-relevant papers, 10 studies remained in our systematic. Meta-analysis on SSB consumption and risk of gout was done on three effect sizes from cohort studies and five effect sizes from case-control studies. For risk of hyperuricemia, the meta-analysis was done on six effect sizes from cross-sectional studies. All analyses were performed on ORs or RRs.Results: We found an overall significant positive association between SSB consumption and risk of gout in both cohort (summary effect size: 1.35; 95% CI: 1.18-1.55) and case-control studies (summary effect size: 1.33; 95% CI: 1.06-1.66). Meta-analysis on cross-sectional studies revealed that SSB consumption was associated with 35% greater odds of hyperuricemia (summary effect size: 1.35; 95% CI: 1.19-1.52). No evidence of between-study heterogeneity as well as publication bias was found. Although the studies on fructose intake and risk of gout and hyperuricemia were included in our systematic review, we did not perform met-analysis on these studies due to insufficient number of publications.Conclusion: We found that SSB consumption was significantly associated with increased risk of gout and hyperuricemia in adult population. Further studies are needed to examine the association between dietary fructose intake and risk of gout and hyepruricemia.
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Affiliation(s)
- Soraiya Ebrahimpour-Koujan
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Parvane Saneei
- Department of Community Nutrition, School of Nutrition and Food Science Isfahan University of Medical Sciences, Isfahan, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.,Department of Community Nutrition, School of Nutrition and Food Science Isfahan University of Medical Sciences, Isfahan, Iran.,Obesity and Eating Habits Research Center Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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21
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Siqueira JH, Mill JG, Velasquez-Melendez G, Moreira AD, Barreto SM, Benseñor IM, Molina MDCB. Sugar-Sweetened Soft Drinks and Fructose Consumption Are Associated with Hyperuricemia: Cross-Sectional Analysis from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Nutrients 2018; 10:E981. [PMID: 30060512 PMCID: PMC6116015 DOI: 10.3390/nu10080981] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 07/19/2018] [Accepted: 07/25/2018] [Indexed: 12/26/2022] Open
Abstract
The secular trend of hyperuricemia coincides with the substantial increase in the consumption of sugar-sweetened beverages. Our aim was to evaluate the association between the consumption of soft drinks, dietary fructose and unsweetened, non-processed fruit juices with hyperuricemia in a cross-sectional analysis of baseline data (2008⁻2010; n = 7173) of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). The explanatory variables were the consumption of soft drinks, fruit juice, and fructose using a validated semi-quantitative food frequency questionnaire. The outcomes were hyperuricemia and the uric acid concentration in serum. Regression models were tested, and a significance level of 5% was adopted. In men, the daily consumption of a portion of soft drink/day (250 mL) almost doubled the chance of hyperuricemia with a linear trend. In women, the consumption of ≥0.1 to <1.0 soft drink/day was associated with a higher chance of hyperuricemia, but there was no linear trend. High fructose consumption in men and moderate and high consumption in women were associated with hyperuricemia. All categories of soft drinks consumption were linearly associated with increased serum uric acid levels. Our findings suggest that the consumption of soft drinks and dietary fructose is positively associated with a higher chance of hyperuricemia and higher uric acid levels in Brazilian adults.
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Affiliation(s)
- Jordana Herzog Siqueira
- Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Vitória CEP 29042-755, Brazil.
| | - José Geraldo Mill
- Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Vitória CEP 29042-755, Brazil.
| | | | - Alexandra Dias Moreira
- Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte CEP 30130-100, Brazil.
| | - Sandhi Maria Barreto
- Hospital das Clinicas and School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte CEP 30130-100, Brazil.
| | - Isabela Martins Benseñor
- Clinical and Epidemiological Research Center, University Hospital, University of São Paulo, São Paulo CEP 05508-000, Brazil.
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Markers of Iron Status Are Associated with Risk of Hyperuricemia among Chinese Adults: Nationwide Population-Based Study. Nutrients 2018; 10:nu10020191. [PMID: 29425155 PMCID: PMC5852767 DOI: 10.3390/nu10020191] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 01/26/2018] [Accepted: 02/06/2018] [Indexed: 12/12/2022] Open
Abstract
Background: Elevated serum uric acid (SUA) involved in iron metabolism, has been increasingly recognized as a risk factor for gout and cardiovascular diseases. The objective of this study was to examine the associations between markers of iron status with risk of hyperuricemia (HU) in Chinese adult population. Methods: Data were extracted from the 2009 wave of the China Health and Nutrition Survey, consisting of 7946 apparently healthy adults. Serum ferritin (SF), transferrin, soluble transferrin receptors (sTfR), hemoglobin (Hb), high-sensitivity C-reactive protein (hs-CRP), and SUA were measured. Diet was assessed with three consecutive 24 h recalls. Demographic characteristics, smoking status, alcohol consumption, and physical activities were investigated using a structured questionnaire. Multilevel mixed-effects models were constructed to estimate the associations of SF, transferrin, sTfR, and Hb with SUA and the risk of HU. Results: The crude prevalence of HU was 16.1%. SF, transferrin, and Hb levels were positively associated with SUA and the risk of HU after adjustment for cluster effects and potential confounders (all p-trend < 0.05). Compared with participants in the lowest quartile of SF, those in the highest quartile had significantly higher SUA concentrations (β = 0.899 mg/dL, 95% confidence interval (CI): 0.788, 1.010; p < 0.001) and higher risk of HU (odds ratio (OR) = 3.086, 95% CI: 2.450, 3.888; p < 0.001). Participants with the highest quartile of transferrin had significantly higher SUA concentrations (β = 0.488 mg/dL, 95% CI: 0.389, 0.587; p < 0.001) and higher risk of HU (OR: 1.900; 95% CI: 1.579, 2.286; p < 0.001) when compared with those with the lowest quartile. In male participants, those in the highest quartile of Hb had significantly higher risk of HU when compared to the reference group (OR: 1.401, 95% CI: 1.104, 1.777; p < 0.01); however, this association was not found in female participants (OR: 1.093; 95% CI: 0.821, 1.455; p = 0.544). Conclusion: SF, transferrin, and Hb levels were positively associated with the risk of HU, and additional studies are needed to confirm the findings, as well as to elucidate their underlying mechanisms.
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23
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Cacciapuoti F. Hyper-homocysteinemia Inducing Hyperuricemia: What are the Mechanisms? JOURNAL OF RHEUMATIC DISEASES 2017. [DOI: 10.4078/jrd.2017.24.3.127] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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24
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Jamnik J, Rehman S, Blanco Mejia S, de Souza RJ, Khan TA, Leiter LA, Wolever TMS, Kendall CWC, Jenkins DJA, Sievenpiper JL. Fructose intake and risk of gout and hyperuricemia: a systematic review and meta-analysis of prospective cohort studies. BMJ Open 2016; 6:e013191. [PMID: 27697882 PMCID: PMC5073537 DOI: 10.1136/bmjopen-2016-013191] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The prevalence of hyperuricemia and gout has increased in recent decades. The role of dietary fructose in the development of these conditions remains unclear. OBJECTIVE To conduct a systematic review and meta-analysis of prospective cohort studies investigating the association fructose consumption with incident gout and hyperuricemia. DESIGN MEDLINE, EMBASE and the Cochrane Library were searched (through September 2015). We included prospective cohort studies that assessed fructose consumption and incident gout or hyperuricemia. 2 independent reviewers extracted relevant data and assessed study quality using the Newcastle-Ottawa Scale. We pooled natural-log transformed risk ratios (RRs) using the generic inverse variance method. Interstudy heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS 2 studies involving 125 299 participants and 1533 cases of incident gout assessed the association between fructose consumption and incident gout over an average of 17 years of follow-up. No eligible studies assessed incident hyperuricemia as an outcome. Fructose consumption was associated with an increase in the risk of gout (RR=1.62, 95% CI 1.28 to 2.03, p<0.0001) with no evidence of interstudy heterogeneity (I2=0%, p=0.33) when comparing the highest (>11.8% to >11.9% total energy) and lowest (<6.9% to <7.5% total energy) quantiles of consumption. LIMITATIONS Despite a dose-response gradient, the overall quality of evidence as assessed by GRADE was low, due to indirectness. There were only two prospective cohort studies involving predominantly white health professionals that assessed incident gout, and none assessed hyperuricemia. CONCLUSIONS Fructose consumption was associated with an increased risk of developing gout in predominantly white health professionals. More prospective studies are necessary to understand better the role of fructose and its food sources in the development of gout and hyperuricemia. PROTOCOL REGISTRATION NUMBER NCT01608620.
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Affiliation(s)
- Joseph Jamnik
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sara Rehman
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Sonia Blanco Mejia
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Russell J de Souza
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Tauseef A Khan
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Thomas M S Wolever
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Cyril W C Kendall
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital, Toronto, Ontario, Canada
- Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
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Kakutani-Hatayama M, Kadoya M, Okazaki H, Kurajoh M, Shoji T, Koyama H, Tsutsumi Z, Moriwaki Y, Namba M, Yamamoto T. Nonpharmacological Management of Gout and Hyperuricemia: Hints for Better Lifestyle. Am J Lifestyle Med 2015; 11:321-329. [PMID: 30202351 DOI: 10.1177/1559827615601973] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 07/06/2015] [Accepted: 07/13/2015] [Indexed: 12/22/2022] Open
Abstract
We reviewed lifestyle factors that influence serum uric acid levels and risk of gout flare, and how to improve their deleterious effects. Since obesity increases uric acid and weight gain increases gout risk, weight reduction by daily exercise and limiting intake of excess calories is recommended. However, strenuous exercise, which causes adenine nucleotide degradation; starvation, which decreases uric acid excretion; and dehydration may raise the level of uric acid in serum and trigger gout. Increased intake of purine-rich foods, such as meat and seafood, raise the level of uric acid in serum and is associated with increased risk of gout, whereas dairy products, especially low-fat types, are associated with a lower risk of gout. Also, heavy alcohol drinking raises the uric acid level and increases the risk of gout through adenine nucleotide degradation and lactate production. Sweet fruits and soft drinks containing fructose should be moderated, since fructose may raise uric acid and increase gout risk through uric acid production and/or decreased excretion. On the other hand, the Mediterranean diet is recommended for gout patients, since it may also help prevent hyperuricemia. Furthermore, coffee and vitamin C supplementation could be considered as preventive measures, as those can lower serum uric acid levels as well as the risk of gout.
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Affiliation(s)
- Miki Kakutani-Hatayama
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Manabu Kadoya
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Hirokazu Okazaki
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Masafumi Kurajoh
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Takuhito Shoji
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Hidenori Koyama
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Zenta Tsutsumi
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Yuji Moriwaki
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Mitsuyoshi Namba
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
| | - Tetsuya Yamamoto
- Division of Diabetes, Endocrinology, and Metabolism, Department of Internal Medicine, Hyogo College of Medicine, Hyogo, Japan
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