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Xu ZH, Qiu CS, Qi J, Tang XL, Li HM, Zhang LW, Du LY, Liao DQ, Lai SM, Huang HX, Xiong ZY, Kuang L, Zhang BY, Wu JH, Li ZH. Association between Whole Grain Intake and Chronic Kidney Disease. J Nutr 2024; 154:1262-1270. [PMID: 38367806 DOI: 10.1016/j.tjnut.2024.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 02/19/2024] Open
Abstract
BACKGROUND The relationship between whole grain intake and chronic kidney disease (CKD) remains uncertain. OBJECTIVE This study aimed to evaluate the association between whole grain intake and risk of CKD in Chinese adults. METHODS The present cross-sectional study used data from the China Health and Nutrition Survey conducted in 2009. Whole grain intake was measured using 3 consecutive 24-h dietary recalls and a household food inventory. A multivariable logistic regression model was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for risk of CKD. In addition, a restricted cubic spline was used to investigate the dose‒response relationship between whole grain and risk of CKD. RESULTS A total of 6747 participants were included, 728 of whom had CKD. Compared with those in the lowest whole grain intake group, those in the higher grain intake group had an inverse association with risk of CKD (Q2: adjusted OR 0.70, 95% CI: 0.54, 0.89; Q3: adjusted OR 0.54, 95% CI: 0.42, 0.69; and Q4: adjusted OR 0.29, 95% CI: 0.21, 0.41). The association between whole grain intake and CKD seems to be stronger for individuals who were male (P for interaction = 0.008) or smokers (P for interaction = 0.013). In addition, the restricted cubic spline suggested an obvious L-shaped correlation. CONCLUSIONS Increased whole grain intake was associated with a decreased risk of CKD in Chinese adults.
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Affiliation(s)
- Zi-Hao Xu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Cheng-Shen Qiu
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Juan Qi
- Department of Chronic Noncommunicable Disease Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong China
| | - Xu-Lian Tang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Hong-Min Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Lu-Wei Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Li-Ying Du
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Dan-Qing Liao
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Shu-Min Lai
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Hong-Xuan Huang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Yuan Xiong
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Ling Kuang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Bing-Yun Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Jin-Hua Wu
- Department of Obstetrics, Guangdong Women and Children Hospital, Guangzhou, Guangdong, China.
| | - Zhi-Hao Li
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
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Niu J, Li B, Zhang Q, Chen G, Papadaki A. Exploring the traditional Chinese diet and its association with health status-a systematic review. Nutr Rev 2024:nuae013. [PMID: 38452296 DOI: 10.1093/nutrit/nuae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024] Open
Abstract
CONTEXT Increased adherence to a traditional Chinese diet (TCD) could reduce the increasing prevalence of noncommunicable diseases. Currently, there is no consistent definition of the TCD in the literature, and its associations with health outcomes have not yet been identified. OBJECTIVE This systematic review aimed to assess the definition of the TCD, in the literature, and to evaluate whether the TCD, as described, is associated with health outcomes. DATA SOURCES Fourteen databases were searched up to April 25, 2022. DATA EXTRACTION Three reviewers (in pairs) independently screened and extracted data. A modified risk-of-bias tool was used to assess the quality of the studies assessing the TCD definition; the Newcastle-Ottawa Scale and the Cochrane Risk-of-Bias tool were used to assess the quality of the observational studies and randomized controlled trials assessing associations between the TCD and health outcomes. DATA ANALYSIS Ninety-nine studies were identified that assessed the TCD definition. In at least 75% of the studies, rice and leafy vegetables were consistently reported as food groups that characterize the TCD; the most frequently cited food items were white rice, spinach, bokchoy, and cabbage. Fish and seafood, pork, and pork products were consistently reported in studies exclusively referring to the TCD consumed in southern China (n = 21 studies), whereas wheat and wheat products were commonly reported in studies focusing on northern China (n = 14 studies). Fifteen studies reported on the quantities of food groups that are characteristic of the TCD, but their findings were inconsistent. Of the 99 studies, 54 assessed associations with health outcomes. The TCD was overall inversely associated with obesity risk and weight gain, while relationships between the TCD and other health outcomes were inconsistent. CONCLUSION Further studies are needed to determine the quantities of foods consumed in the TCD and to establish a consistent definition for further exploration of the TCD's potential role in preventing non-communicable diseases.
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Affiliation(s)
- Jizhao Niu
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Bai Li
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Qing Zhang
- School of Psychological Science, University of Bristol, Bristol, UK
| | - Ge Chen
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Angeliki Papadaki
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
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Luo M, Liu T, Ju H, Xia Y, Ji C, Zhao Y. Association between dietary patterns and chronic kidney disease combined with hyperuricemia. Food Funct 2024; 15:255-264. [PMID: 38059607 DOI: 10.1039/d3fo03354f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Background and aims: Chronic kidney disease (CKD) combined with hyperuricemia is a concerning health issue, but the association between this condition and dietary patterns remains poorly understood. The aim of this study was to assess the associations between dietary patterns and CKD combined with hyperuricemia. Methods: This cross-sectional study was conducted involving 12 318 participants aged 18-79 years during 2018-2020. Dietary intake information was collected using a validated 110-item food frequency questionnaire. Factor analysis was used to identify major dietary patterns. CKD was defined as the presence of albuminuria or an estimated glomerular filtration rate <60 mL min-1 1.73 m-2. Hyperuricemia was defined as serum uric acid levels >420 μmol L-1 both in men and women. Logistic regression models were applied to assess the association between dietary patterns and the risk of CKD combined with hyperuricemia. Results: Five major dietary patterns were identified: 'healthy pattern', 'traditional pattern', 'animal foods pattern', 'sweet foods pattern', and 'tea-alcohol pattern', which together explained 38.93% of the variance in the diet. After adjusting for potential confounders, participants in the highest quartile of the traditional pattern had a lower risk of CKD combined with hyperuricemia (OR = 0.49, 95% CI: 0.32-0.74, Pfor trend < 0.01). Conversely, participants in the highest quartile of the sweet foods pattern had a higher risk compared to those in the lowest quartile (OR = 1.69, 95% CI: 1.18-2.42, Pfor trend < 0.01). However, no significant association was observed between the healthy pattern, animal foods pattern and tea-alcohol pattern and the risk of CKD combined with hyperuricemia. Conclusions: Our results suggest that the traditional pattern is associated with a reduced risk of CKD combined with hyperuricemia, whereas the sweet foods pattern is associated with an increased risk.
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Affiliation(s)
- Mengrui Luo
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
| | - Tiancong Liu
- Department of Otorhinolaryngology - Head and Neck Surgery, Shengjing Hospital of China Medical University, China
| | - Hao Ju
- Department of Ultrasound, Shengjing Hospital of China Medical University, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
| | - Chao Ji
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Clinical Research Centre, Shengjing Hospital of China Medical University, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
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Avesani CM, Cardozo LFMF, Yee-Moon Wang A, Shiels PG, Lambert K, Lindholm B, Stenvinkel P, Mafra D. Planetary Health, Nutrition, and Chronic Kidney Disease: Connecting the Dots for a Sustainable Future. J Ren Nutr 2023; 33:S40-S48. [PMID: 36182058 DOI: 10.1053/j.jrn.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/18/2022] [Accepted: 09/11/2022] [Indexed: 11/11/2022] Open
Abstract
The increasing consumption of ultra-processed food (UPF) and the global chain of food production have a negative impact on human health and planetary health. These foods have been replacing the consumption of nonprocessed healthy foods. This shift has not only worsened human health by increasing the risk of the development of noncommunicable diseases, but also resulted in environmental perturbations. This review aims to bring awareness of the problems caused by the industrialized food production chain, addressing the negative effects it has on the environment and human health, with special reference to chronic kidney disease (CKD). We discuss possible solutions focusing on the benefits of adopting plant-based diets with low UPF content to promote a sustainable and healthy food production and diet for patients with CKD. For a sustainable future we need to "connect the dots" of planetary health, food production, and nutrition in the context of CKD.
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Affiliation(s)
- Carla Maria Avesani
- Division of Renal Medicine and Baxter Novum, Department of Clinical Science, Technology and Intervention, Karolinska Instituted, Stockholm, Sweden.
| | - Ludmila F M F Cardozo
- Graduate Program in Cardiovascular Sciences, Fluminense Federal University (UFF), Niterói, Rio de Janeiro, Brazil
| | - Angela Yee-Moon Wang
- Department of Medicine, Queen Mary Hospital, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Paul G Shiels
- Wolfson Wohl Translational Research Centre, University of Glasgow, Scotland
| | - Kelly Lambert
- Discipline of Nutrition and Dietetics, School of Medicine, Indigenous and Health Sciences, Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | - Bengt Lindholm
- Division of Renal Medicine and Baxter Novum, Department of Clinical Science, Technology and Intervention, Karolinska Instituted, Stockholm, Sweden
| | - Peter Stenvinkel
- Division of Renal Medicine and Baxter Novum, Department of Clinical Science, Technology and Intervention, Karolinska Instituted, Stockholm, Sweden
| | - Denise Mafra
- Graduate Program in Biological Sciences - Physiology, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Rio de Janeiro, Brazil
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TASNIM TASNIM, SUNARSIH. Analysis of impaired kidney function in the community around the Morosi nickel mines. J Public Health Afr 2023; 14:2700. [PMID: 37859934 PMCID: PMC10583235 DOI: 10.4081/jphia.2023.2700] [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] [Indexed: 10/21/2023] Open
Abstract
Preliminary studies showed that almost 50% of the people around the Morosi nickel mining industry had very high creatinine levels (26 mmol/l). High creatinine levels indicate impaired kidney function. This study aims to analyze the determinants of high creatinine levels in the urine of people around the Morosi nickel mines. There were 61 participants who were interviewed and urine samples were taken to test their creatinine levels. High levels of creatinine indicate kidney disorders. Measurement of creatinine levels used urine reagent strips 13G. Then it was connected between the condition of water sources, houses, solid and liquid waste management with the participants' creatinine levels with the multinomial regression statistical test. The house condition and liquid waste management had significant association with creatinine levels (P=0.005 and P=0.026, respectively). More than 80% of people lived in houses with good condition and had very low creatinine levels (≤0.9 mmol/l). Most of them had done appropriate liquid waste management (63.9%). However, water sources and solid waste management had no association with creatinine levels (P=0.195 and P=0.130, respectively). The majority of them had used good water sources such as piped and gallon water (80.3%). There were only 19.7% of them who used dug wells and 60.7% who throw their solid waste into the river or burn it. This study concludes that house condition and liquid waste management determine of the high urine-creatinine levels of people leaving around the Morosi Nickel Mining Industries.
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Affiliation(s)
- TASNIM TASNIM
- Public Health Department, Faculty of Health Sciences, Mandala Waluya University, Kendari, Sulawesi Tenggara, Indonesia
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Lyssenko V, Vaag A. Genetics of diabetes-associated microvascular complications. Diabetologia 2023; 66:1601-1613. [PMID: 37452207 PMCID: PMC10390394 DOI: 10.1007/s00125-023-05964-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/27/2023] [Indexed: 07/18/2023]
Abstract
Diabetes is associated with excess morbidity and mortality due to both micro- and macrovascular complications, as well as a range of non-classical comorbidities. Diabetes-associated microvascular complications are those considered most closely related to hyperglycaemia in a causal manner. However, some individuals with hyperglycaemia (even those with severe hyperglycaemia) do not develop microvascular diseases, which, together with evidence of co-occurrence of microvascular diseases in families, suggests a role for genetics. While genome-wide association studies (GWASs) produced firm evidence of multiple genetic variants underlying differential susceptibility to type 1 and type 2 diabetes, genetic determinants of microvascular complications are mostly suggestive. Identified susceptibility variants of diabetic kidney disease (DKD) in type 2 diabetes mirror variants underlying chronic kidney disease (CKD) in individuals without diabetes. As for retinopathy and neuropathy, reported risk variants currently lack large-scale replication. The reported associations between type 2 diabetes risk variants and microvascular complications may be explained by hyperglycaemia. More extensive phenotyping, along with adjustments for unmeasured confounding, including both early (fetal) and late-life (hyperglycaemia, hypertension, etc.) environmental factors, are urgently needed to understand the genetics of microvascular complications. Finally, genetic variants associated with reduced glycolysis, mitochondrial dysfunction and DNA damage and sustained cell regeneration may protect against microvascular complications, illustrating the utility of studies in individuals who have escaped these complications.
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Affiliation(s)
- Valeriya Lyssenko
- Department of Clinical Science, Mohn Research Center for Diabetes Precision Medicine, University of Bergen, Bergen, Norway.
- Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Lund, Sweden.
| | - Allan Vaag
- Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Lund, Sweden
- Steno Diabetes Center Copenhagen, Herlev, Denmark
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7
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Fu J, Shin S. The association of dietary patterns with incident chronic kidney disease and kidney function decline among middle-aged Korean adults: a cohort study. Epidemiol Health 2023; 45:e2023037. [PMID: 37311642 PMCID: PMC10586924 DOI: 10.4178/epih.e2023037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/07/2023] [Indexed: 06/15/2023] Open
Abstract
OBJECTIVES This study assessed the association of dietary patterns with the incidence of chronic kidney disease (CKD) and kidney function decline among Korean adults. METHODS Data were collected from the records of 20,147 men and 39,857 women who participated in the Health Examinees study. Principal component analysis was used to identify 3 dietary patterns (prudent, flour-based food and meat, and white rice-based), and CKD risk was defined using the Epidemiology Collaboration equation for estimated glomerular filtration rate: (eGFR) <60 mL/min/1.73 m2. A kidney function decline was defined as a >25% decrease in eGFR from baseline. RESULTS During the 4.2-year follow-up, 978 participants developed CKD and 971 had a 25% decline in kidney function. After adjusting for potential impact variables, compared with the lowest quartile of the prudent dietary pattern, participants in the highest quartile had a 37% lower risk of kidney function decline among men (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.47 to 0.85); while higher adherence to the flour-based food and meat dietary pattern was associated with an increased risk of CKD in both men (HR, 1.63; 95% CI, 1.22 to 2.19) and women (HR, 1.47; 95% CI, 1.05 to 2.05) as well as a decline in kidney function in both men (HR, 1.49; 95% CI, 1.07 to 2.07) and women (HR, 1.77; 95% CI, 1.33 to 2.35). CONCLUSIONS Although a higher adherence to the prudent dietary pattern was inversely associated with the risk of kidney function decline in men, there was no association with CKD risk. In addition, a higher adherence to the flour-based food and meat dietary pattern increased the risk of CKD and kidney function decline. Further clinical trials are needed to confirm these associations.
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Affiliation(s)
- Jialei Fu
- Department of Food and Nutrition, Chung-Ang University, Anseong, Korea
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Anseong, Korea
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de Sousa LCM, Silva NR, Azeredo CM, Rinaldi AEM, da Silva LS. Health-related patterns and chronic kidney disease in the Brazilian population: National Health Survey, 2019. Front Public Health 2023; 11:1090196. [PMID: 37089474 PMCID: PMC10117670 DOI: 10.3389/fpubh.2023.1090196] [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: 11/05/2022] [Accepted: 03/10/2023] [Indexed: 04/25/2023] Open
Abstract
Objective The aim of this study was to identify patterns related to health and their association with chronic kidney disease (CKD) in the Brazilian population. Methods We used data from the National Health Survey (PNS), 2019. Participants were interviewed and answered questions related to socioeconomic and demographic information (gender, age, education, race/color), health conditions (presence of hypertension, diabetes mellitus, hyperlipidemia, cardiovascular disease, overweight and CKD) and lifestyle (smoking, alcohol consumption, physical activity and food consumption). To identify patterns, we used exploratory factor analysis. We performed logistic regression models to describe the association of CKD with each pattern in crude models and adjusted for gender, age group, education level and race/color. Results A total of 90,846 individuals were evaluated. The prevalence of CKD was 1.49% (95% CI: 1.3-1.6). Three health-related patterns - metabolic factors, behavioral risk factors and behavioral protective factors - were identified by factor analysis. Metabolic factors were determined by the presence of hypertension, diabetes mellitus, hyperlipidemia and cardiovascular diseases. Behavioral risk factors were determined by smoking, alcohol consumption, regular consumption of soft drinks, sweets and artificial juices, and high salt consumption. The protective behavioral factors were established by the practice of physical activity and regular consumption of vegetables and fruits. Participants of the highest tertile for metabolic factors were more likely to have CKD in the adjusted model (OR = 3.61, 95% CI: 2.69-4.85), when compared to those of the lower tertile. Conclusion The pattern referring to metabolic factors was associated with a higher chance of presenting CKD.
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Valle-Hita C, Díaz-López A, Becerra-Tomás N, Martínez-González MA, García VR, Corella D, Goday A, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem L, Cano-Ibáñez N, Tur JA, Rubín-García M, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Fontao SM, Daimiel L, Ros E, Toledo E, Sorlí JV, Roca C, Abete I, Moreno-Rodriguez A, Crespo-Oliva E, Candela-García I, Morey M, Garcia-Rios A, Casas R, Fernandez-Garcia JC, Santos-Lozano JM, Diez-Espino J, Ortega-Azorín C, Comas M, Zulet MA, Sorto-Sanchez C, Ruiz-Canela M, Fitó M, Salas-Salvadó J, Babio N. Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk. Eur J Nutr 2022; 61:3095-3108. [PMID: 35366708 PMCID: PMC9363380 DOI: 10.1007/s00394-022-02838-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 02/11/2022] [Indexed: 02/07/2023]
Abstract
Purpose To assess the association between three different a priori dietary patterns adherence (17-item energy reduced-Mediterranean Diet (MedDiet), Trichopoulou-MedDiet and Dietary Approach to Stop Hypertension (DASH)), as well as the Protein Diet Score and kidney function decline after one year of follow-up in elderly individuals with overweight/obesity and metabolic syndrome (MetS). Methods We prospectively analyzed 5675 participants (55–75 years) from the PREDIMED-Plus study. At baseline and at one year, we evaluated the creatinine-based estimated glomerular filtration rate (eGFR) and food-frequency questionnaires-derived dietary scores. Associations between four categories (decrease/maintenance and tertiles of increase) of each dietary pattern and changes in eGFR (ml/min/1.73m2) or ≥ 10% eGFR decline were assessed by fitting multivariable linear or logistic regression models, as appropriate. Results Participants in the highest tertile of increase in 17-item erMedDiet Score showed higher upward changes in eGFR (β: 1.87 ml/min/1.73m2; 95% CI: 1.00–2.73) and had lower odds of ≥ 10% eGFR decline (OR: 0.62; 95% CI: 0.47–0.82) compared to individuals in the decrease/maintenance category, while Trichopoulou-MedDiet and DASH Scores were not associated with any renal outcomes. Those in the highest tertile of increase in Protein Diet Score had greater downward changes in eGFR (β: − 0.87 ml/min/1.73m2; 95% CI: − 1.73 to − 0.01) and 32% higher odds of eGFR decline (OR: 1.32; 95% CI: 1.00–1.75). Conclusions Among elderly individuals with overweight/obesity and MetS, only higher upward change in the 17-item erMedDiet score adherence was associated with better kidney function after one year. However, increasing Protein Diet Score appeared to have an adverse impact on kidney health. Trial Registration Number: ISRCTN89898870 (Data of registration: 2014). Supplementary Information The online version contains supplementary material available at 10.1007/s00394-022-02838-7.
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Affiliation(s)
- Cristina Valle-Hita
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
| | - Andrés Díaz-López
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Serra Hunter Fellow, Nutrition and Mental Health Research Group (NUTRISAM), Universitat Rovira i Virgili, 43201, Reus, Spain
| | - Nerea Becerra-Tomás
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain.
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain.
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain.
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
| | - Miguel A Martínez-González
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Verónica Ruiz García
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- University Hospital of Tarragona Joan XXIII, 43005, Tarragona, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - J Alfredo Martínez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Precision Nutrition Program, CEI UAM + CSIC, IMDEA Food and Health Sciences, 28049, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071, Málaga, Spain
| | - Jesús Vioque
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Miguel Hernandez University (ISABIAL-UMH), 46020, Alicante, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institutd'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Francisco J Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Preventive Medicine Service, University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas, Spain
| | - Naomi Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Granada, 18071, Granada, Spain
| | - Josep A Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
- Research Group On Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma de Mallorca, Spain
| | - María Rubín-García
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, 08907, Barcelona, Spain
- University of Barcelona, 08007, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - Josep Vidal
- Departament of Endocrinology, IDIBAPS, Hospital Clínic, University of Barcelona, 08036, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
| | - Sebastian Mas Fontao
- Department of Endocrinology and Nutrition, University Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, 28040, Madrid, Spain
| | - Lidia Daimiel
- CEI UAM + CSIC, Nutritional Control of the Epigenome Group, IMDEA Food, 28049, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Lipid Clinic, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), 08036, Barcelona, Spain
| | - Estefania Toledo
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - José V Sorlí
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Roca
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - Iztiar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Anai Moreno-Rodriguez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Edelys Crespo-Oliva
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29071, Málaga, Spain
| | | | - Marga Morey
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), 07120, Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - Rosa Casas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institutd'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - Jose Carlos Fernandez-Garcia
- Department of Endocrinology, Virgen de la Victoria Hospital Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010, Málaga, Spain
| | - José Manuel Santos-Lozano
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Sevilla, Spain
| | - Javier Diez-Espino
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
- Atención Primaria, Servicio Navarro de Salud, Osasunbidea, Pamplona, Spain
| | - Carolina Ortega-Azorín
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - M Comas
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - M Angeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Carolina Sorto-Sanchez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - Miguel Ruiz-Canela
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31008, Pamplona, Spain
| | - Montse Fitó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Research Institute (IMIM), Departament de Medicina, Universitat Autònoma de Barcelona, 08003, Barcelona, Spain
| | - Jordi Salas-Salvadó
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
| | - Nancy Babio
- Department of Biochemistry and Biotechonology, Universitat Rovira i Virgili, Human Nutrition Unit, Carrer Sant Llorenç, 21, 43201, Reus, Spain
- Institut ďInvestigació Sanitària Pere Virgili (IISPV), 43204, Reus, Spain
- University Hospital of Sant Joan de Reus, Nutrition Unit, 43201, Reus, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Institute of Health Carlos III, 28029, Madrid, Spain
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Shen XM, Shu L, Huang YQ, Zhang XY, Zheng PF, Zhu Q. Association between dietary patterns and glycaemic control in a middle-aged Chinese population. Public Health Nutr 2021; 25:1-9. [PMID: 34509181 PMCID: PMC9991639 DOI: 10.1017/s1368980021003931] [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: 02/25/2021] [Revised: 08/16/2021] [Accepted: 09/06/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The present work was performed to analyse the association of dietary patterns with glycaemic control (Hb A1c < 7 %) in a large group of Chinese adults aged between 45 and 59 years. DESIGN Habitual dietary intakes in the preceding 12 months were assessed by well-trained interviewers using a validated semi-quantitative FFQ. Factor analysis with principal component method was used to obtain the dietary patterns, and the associations between dietary patterns and glycaemic control were determined using multivariable logistic regression models. Poor glycaemic control was defined as HbA1c ≥ 7·0. SETTING Despite decades of research, data on the relationship between dietary patterns and glycaemic control (HbA1c < 7 %) in China are sparse. PARTICIPANTS A total of 1739 participants aged 45-59 years from Hangzhou were included in the final analysis. RESULTS Three dietary patterns were ascertained and labelled as traditional southern Chinese, Western and grains-vegetables patterns. After controlling of the possible confounders, participants in the highest quartile of Western pattern scores had greater OR for HbA1c ≥ 7·0 (OR = 1·05; (95 % CI 1·000, 1·095); P = 0·048) than did those in the lowest quartile. Compared with those in the lowest quartile of grains-vegetables pattern, participants in the highest quartile had lower OR for HbA1c ≥ 7·0 (OR = 0·82; (95 % CI 0·720, 0·949); P = 0·038). Besides, no significant relationship between the traditional southern Chinese pattern and HbA1c ≥ 7·0 was observed (P > 0·05). CONCLUSIONS This study indicated that the Western pattern was associated with a higher risk, and the grains-vegetables pattern was associated with a lower risk for HbA1c ≥ 7·0. Future prospective studies are needed to confirm our findings.
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Affiliation(s)
- Xiao-Ming Shen
- Department of Endocrinology, The No.1 People’s Hospital of Pinghu, Pinghu, Zhejiang, The People’s Republic of China
| | - Long Shu
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
| | - Yi-Qian Huang
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
| | - Xiao-Yan Zhang
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
| | - Pei-Fen Zheng
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
| | - Qin Zhu
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou310013, Zhejiang, The People’s Republic of China
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11
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Ochiai H, Shirasawa T, Yoshimoto T, Nagahama S, Sakamoto K, Azuma M, Kokaze A. Hepatic Steatosis Index and Chronic Kidney Disease among Middle-Aged Individuals: A Large-Scale Study in Japan. DISEASE MARKERS 2021; 2021:9941834. [PMID: 34211614 PMCID: PMC8211514 DOI: 10.1155/2021/9941834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/20/2021] [Accepted: 06/03/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Though nonalcoholic fatty liver disease (NAFLD) is related to chronic kidney disease (CKD), it is unclear whether the hepatic steatosis index (HSI), a screening tool for NAFLD, is related to CKD. The present study investigated the relationship between HSI and CKD among middle-aged individuals in Japan. METHODS Subjects were adults (aged 40-64 years) who received an annual health checkup in Japan between April 2013 and March 2014. Height and weight were measured, and venous blood samples were obtained to determine alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatinine levels. HSI was calculated by the following formula: HSI = 8 × ALT/AST ratio + body mass index (+2, if diabetes; +2, if female). CKD was defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2 and/or urinary protein of ≥ (+). Logistic regression analysis was performed to estimate the odds ratio (OR) and its 95% confidence interval (CI) for CKD. RESULTS Data of 94,893 adults were analyzed. Compared with men with an HSI < 30, men with 30 ≤ HSI ≤ 36 (OR: 1.50, 95% CI: 1.40-1.61) and HSI > 36 (OR: 2.14, 95% CI: 1.99-2.31) had significantly higher ORs for CKD. Moreover, there was a significant dose-response relationship between HSI and CKD (P for trend < 0.001). Even after adjusting for confounders, the significant results persisted. These findings in men were similar to those in women. CONCLUSIONS This study showed that the HSI was associated with CKD among middle-aged adults in Japan. Additionally, a dose-response relationship of HSI to CKD was observed. The present study suggested that it might be useful to monitor the HSI among middle-aged individuals to detect CKD at an early stage.
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Affiliation(s)
- Hirotaka Ochiai
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takako Shirasawa
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takahiko Yoshimoto
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
| | | | - Ken Sakamoto
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Minami Azuma
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Akatsuki Kokaze
- Department of Hygiene, Public Health and Preventive Medicine, Showa University School of Medicine, Tokyo, Japan
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12
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He Y, Lu Y, Yang S, Li Y, Yang Y, Chen J, Huang Y, Lin Z, Li Y, Kong Y, Zhao Y, Wan Q, Wang Q, Huang S, Liu Y, Liu A, Liu F, Hou FF, Qin X, Liang M. Dietary Plant Protein and Mortality Among Patients Receiving Maintenance Hemodialysis: A Cohort Study. Am J Kidney Dis 2021; 78:649-657.e1. [PMID: 34052356 DOI: 10.1053/j.ajkd.2021.03.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 03/18/2021] [Indexed: 12/20/2022]
Abstract
RATIONALE & OBJECTIVE Although greater dietary intake of protein has been associated with beneficial health effects among patients receiving maintenance hemodialysis (MHD), the effects of plant protein intake are less certain. We studied the association of the proportion of protein intake derived from plant sources with the risk of mortality among patients receiving MHD and explored factors that may modify these associations. STUDY DESIGN Prospective observational cohort study. SETTING & PARTICIPANTS 1,119 Chinese hemodialysis patients aged over 18 years receiving MHD in 2014-2015. PREDICTORS The proportion of plant protein intake to total protein intake. OUTCOMES All-cause mortality and cardiovascular disease (CVD) mortality. ANALYTICAL APPROACH Segmented regression models were fit to examine the association of plant protein intake proportion with the risk of all-cause mortality and CVD mortality. Multivariable-adjusted Cox proportional and cause-specific hazards models were used to estimate the hazard ratios (HR) and 95% CI for these outcomes. RESULTS The means of plant protein intake normalized to ideal body weight and plant protein intake proportion were 0.6±0.2 (SD) g/kg per day and 0.538±0.134, respectively. During a median follow-up period of 28.0 months, 249 deaths occurred, with 146 of these deaths resulting from CVD. Overall, there was a U-shaped association between plant protein intake proportion and the risk of all-cause mortality, with an inflection point at 45%. Among patients with a plant protein intake proportion<45%, there was a 17% lower rate of mortality with each 5% greater plant protein intake proportion (HR, 0.83 [95% CI, 0.73-0.96]). Among patients with plant protein intake proportion≥45%, there was a 9% greater rate of mortality with each 5% greater plant protein intake proportion. A similar U-shaped association was observed for CVD mortality, with an inflection point at 44%. LIMITATIONS Observational study, potential unmeasured confounding. CONCLUSIONS There was a U-shaped association between plant protein intake proportion and the risk of all-cause and cardiovascular mortality in MHD patients. If confirmed, these findings suggest a potential avenue to improve outcomes in this patient population.
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Affiliation(s)
- Yanhuan He
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yongxin Lu
- People's Hospital of Yuxi City, Yuxi, People's Republic of China
| | - Shenglin Yang
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yumin Li
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yaya Yang
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Junzhi Chen
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yan Huang
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Zizhen Lin
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Youbao Li
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Yaozhong Kong
- First People's Hospital of Foshan, Foshan, People's Republic of China
| | - Yanhong Zhao
- People's Hospital of Yuxi City, Yuxi, People's Republic of China
| | - Qijun Wan
- Second People's Hospital of Shenzhen, Shenzhen, People's Republic of China
| | - Qi Wang
- Huadu District People's Hospital of Guangzhou, Guangzhou, People's Republic of China
| | - Sheng Huang
- Nanhai District People's Hospital of Foshan, Foshan, People's Republic of China
| | - Yan Liu
- Nephrology Department, Guangzhou Red Cross Hospital, Medical College of Jinan University, Guangzhou, People's Republic of China
| | - Aiqun Liu
- Third Affiliated Hospital of Southern Medical University, Guangzhou, People's Republic of China
| | - Fanna Liu
- Guangzhou Overseas Chinese Hospital, Guangzhou, People's Republic of China
| | - Fan Fan Hou
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China
| | - Xianhui Qin
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
| | - Min Liang
- National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
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Twenty-Five-Year Trends in Dietary Patterns among Chinese Adults from 1991 to 2015. Nutrients 2021; 13:nu13041327. [PMID: 33923855 PMCID: PMC8072541 DOI: 10.3390/nu13041327] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/09/2021] [Accepted: 04/13/2021] [Indexed: 12/13/2022] Open
Abstract
Poor dietary habits have been shown to be associated with a range of chronic diseases and can potentially be a major contributor to non-communicable diseases (NCDs) mortality. We therefore aimed to identify the prevailing dietary patterns among Chinese adults and to evaluate trends in dietary patterns from 1991 to 2015. We used data collected in the China Health and Nutrition Survey (CHNS). Dietary patterns were identified using factor analysis of data from three consecutive 24 h dietary recalls. We studied 29,238 adults aged 18 and above with complete demo-graphic and dietary data. Three distinct dietary patterns were identified: southern (high intakes of rice, vegetables, and pork), modern (high intakes of fruits, dairy products, cakes, cookies, and pastries), and meat (high intakes of organ meats, poultry, and other livestock meat). The southern pattern score decreased (mean ± SD scores in 1991: 0.11 ± 1.13; scores in 2015: −0.22 ± 0.93). The modern pattern score (mean ± SD scores in 1991: −0.44 ± 0.59; scores in 2015: 0.21 ± 1.01) and meat pattern score (mean ± SD scores in 1991: −0.18 ± 0.98; scores in 2015: 0.27 ± 0.91) increased. We observed that China has experienced a shift from traditional dietary patterns to western dietary patterns.
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Dietary patterns and chronic kidney disease risk: a systematic review and updated meta-analysis of observational studies. Nutr J 2021; 20:4. [PMID: 33419440 PMCID: PMC7796538 DOI: 10.1186/s12937-020-00661-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 12/22/2020] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND A number of studies have reported the association between dietary patterns and the risk of chronic kidney disease (CKD), however a consistent perspective hasn't been established to date. Herein, we conducted this systematic review and meta-analysis of observational studies to assess the association between dietary patterns and CKD. METHODS MEDLINE, EBSCO and references from eligible studies were searched for relevant articles published up to 9 May 2020 that examined the association of common dietary patterns and CKD. The heterogeneity among studies was assessed by Cochran's Q test and I2 methods. RESULTS Seventeen eligible studies, involving 149,958 participants, were included in our systematic review and meta-analysis. The highest compared with the lowest category of healthy dietary pattern was significantly associated with a lower risk of CKD (OR=0.69; CI: 0.57, 0.84; P=0.0001). A higher risk of CKD was shown for the highest compared with the lowest categories of Western-type dietary pattern (OR=1.86; CI: 1.21, 2.86; P=0.005). There were evidence of a lower risk of CKD in the highest compared with the lowest categories of light-moderate drinking pattern (OR=0.76; CI: 0.71, 0.81; P< 0.0001) and heavy drinking pattern (OR=0.67; CI: 0.56, 0.80; P< 0.0001). CONCLUSIONS The results of this systematic review and meta-analysis show that a healthy dietary pattern and alcohol drinking were associated with lower risk of CKD, whereas a Western-type dietary pattern was associated with higher risk of CKD.
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Shen XM, Huang YQ, Zhang XY, Tong XQ, Zheng PF, Shu L. Association between dietary patterns and prediabetes risk in a middle-aged Chinese population. Nutr J 2020; 19:77. [PMID: 32731880 PMCID: PMC7393887 DOI: 10.1186/s12937-020-00593-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 07/21/2020] [Indexed: 12/31/2022] Open
Abstract
Background Information regarding dietary patterns associated with prediabetes in the Chinese population is lacking. The objective of the present study was to explore the association between major dietary patterns and the risk of prediabetes in a middle-aged Chinese population. Methods A total of 1761 participants (aged 45 to 59 years) were recruited in Hangzhou city, the capital of Zhejiang Province, China from June 2015 to December 2016. Dietary information was obtained by interview using a 138-item, validated semi-quantitative food frequency questionnaire (SQFFQ). Multivariate logistic regression models were used to analyze the associations between dietary patterns and the risk of prediabetes with adjustment of potential confounding variables. Results Three dietary patterns were ascertained by factor analysis and labeled as traditional southern Chinese, Western, and grains-vegetables patterns. After controlling of the potential confounders, participants in the top quartile of the Western pattern scores had greater odds ratio (OR) for prediabetes (OR = 1.54; 95% confidence interval (CI):1.068–2.059; P = 0.025) than did those in the bottom quartile. Compared with those in the bottom quartile, participants in the top quartile of the grains-vegetables pattern scores had a lower OR for prediabetes (OR = 0.83; 95% CI:0.747–0.965; P = 0.03). Besides, no statistically significant association was observed in the association between the traditional southern Chinese pattern and prediabetes risk (P > 0.05). Conclusions The findings of this study showed that the Western pattern was associated with higher risk, and the grains-vegetables pattern was associated with lower risk of prediabetes. Future prospective studies are required to validate our findings.
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Affiliation(s)
- Xiao-Ming Shen
- Department of Endocrinology, The No.1 People's Hospital of Pinghu, Sangang Road Number 500, Danghu street, Pinghu, 314200, Zhejiang, People's Republic of China
| | - Yi-Qian Huang
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Xiao-Yan Zhang
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Xiao-Qing Tong
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Pei-Fen Zheng
- Department of Digestion, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China.,Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China
| | - Long Shu
- Department of Nutrition, Zhejiang Hospital, Lingyin Road Number 12, Xihu District, Hangzhou, 310013, Zhejiang, People's Republic of China.
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Naderinejad N, Ejtahed HS, Asghari G, Mirmiran P, Azizi F. Dietary Patterns and Risk of Chronic Kidney Disease Among Tehranian Adults with High Blood Pressure. Int J Endocrinol Metab 2020; 18:e89709. [PMID: 32308695 PMCID: PMC7144243 DOI: 10.5812/ijem.89709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 11/14/2019] [Accepted: 01/07/2020] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Although high blood pressure is an important risk factor for chronic kidney disease (CKD), it remains unclear whether diet can still influence the risk of CKD in adults with high blood pressure. OBJECTIVES This study aimed at investigating the association between major dietary patterns and the incidence of CKD in adults with high blood pressure. METHODS In this cross-sectional study, we recruited 1,521 subjects aged ≥ 27 years with high blood pressure and with preserved estimated glomerular filtration rate at baseline, who participated in the fourth examination survey of the Tehran Lipid and Glucose Study. The principal component analysis was performed to derive dietary patterns. High blood pressure was defined as systolic blood pressure ≥ 120, diastolic blood pressure ≥ 80, or the current use of antihypertensive drugs. Multiple logistic regression analysis was applied to investigate the association between the dietary pattern scores and CKD risk. RESULTS After 3.6 years of follow-up, the incidence of CKD was 16.8%. Three dietary patterns were produced by using factor analysis, including the Western, the healthy, and the traditional Iranian dietary patterns. The healthy and the traditional Iranian dietary patterns were not related to the risk of CKD, but scoring on the Western dietary pattern was associated with enhanced odds of CKD, after being adjusted for relevant confounders (odds ratio: 2.12; 95% confidence interval: 1.19 - 3.76). CONCLUSIONS Results of this study provided evidence that a high score on the Western dietary pattern was associated with an increased risk of CKD in adults with high blood pressure.
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Affiliation(s)
- Niloofar Naderinejad
- Department of Clinical Nutrition and Dietetics, National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hanieh-Sadat Ejtahed
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Golaleh Asghari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Corresponding Author: Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, No. 24, Shahid Arabi St., Yemen Blvd., Chamran Exp., Tehran, Iran. Tel: +98-2122432500, Fax: +98-2122416264,
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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