Dietary nutrient intake and metabolic syndrome risk in Chinese adults: a case–control study
- Shanshan Bian†1,
- Yuxia Gao†2,
- Meilin Zhang1,
- Xuan Wang1,
- Weiqiao Liu3,
- Dalong Zhang1 and
- Guowei Huang1Email author
© Bian et al.; licensee BioMed Central Ltd. 2013
Received: 14 March 2013
Accepted: 23 July 2013
Published: 30 July 2013
Because human diets are composed of a wide variety of nutrients that may work synergistically to prevent or promote disease, assessing dietary nutrient intake status may be informative. The purpose of this study was to assess the dietary nutrient intake status of Chinese adults with metabolic syndrome (MetS) and to evaluate its possible role in MetS.
This case–control study was conducted from March 2010 to January 2011. A total of 123 patients with MetS and 135 controls participated in this study at the Health Examination Center of Heping District in Tianjin, China. Dietary intake was estimated by 24-h dietary recalls. We used principal component factor analysis to derive nutrient groups from 17 major nutrients. We examined the odds ratios and 95% confidence intervals using logistic regression models to test the relationship between tertiles of dietary nutrient pattern and MetS.
There were 4 major dietary nutrient patterns in this study: “vitamin B group”, “protein and lipids”, “vitamin E and minerals”, and “antioxidant vitamins”. After adjustment for potential confounders, the highest tertile of the nutrient pattern factor score for the “vitamin B group” (odds ratio: 0.16; 95% confidence interval: 0.05–0.47) was negatively associated with MetS compared with the lowest tertiles. No relationships were found between other dietary nutrient patterns and MetS.
The “vitamin B group” pattern was inversely associated with MetS in Chinese adults. This finding supports the hypothesis that the “vitamin B group” pattern may have a potentially beneficial effect on the prevention of MetS.
KeywordsMetabolic syndrome Dietary nutrient intake Niacin Thiamine Factor analysis
Metabolic syndrome (MetS) is characterized by a clustering of abdominal obesity, insulin resistance, hypertension, dyslipidemia, and diabetes mellitus, which are considered to contribute to increased incidence of cardiovascular disease and mortality [1, 2].
With the economic development of China, the prevalence of MetS has increased significantly. According to the 2002 Chinese National Nutrition and Health Survey, the prevalence of metabolic syndrome in individuals aged ≥18 years was 13.8% based on the Adult Treatment Panel III criteria  and has increased strongly over the past few years; some studies have shown that the prevalence of MetS at a regional level is approximately 13.2% to 15.8% [4–6]. With this increase in prevalence, MetS has become a major public health problem .
It is known that the aetiology of MetS includes genetic, metabolic, and environmental factors , and dietary factors are an important aspect of the environmental factors. Emerging evidence has shown that dietary factors are also associated with MetS .
In China, the prevalence of MetS has been rapidly rising, largely reflecting transitions in lifestyle and nutrition [10, 11]; intake of grain has decreased significantly, whereas intake of fat has increased dramatically, daily intake of salt is much greater than recommended, and intake of vegetables and fruits is insufficient .
In recent years, research studies have examined the effect of specific foods and dietary patterns on MetS [12–16]. Some findings have suggested that intake of fruits and vegetables is associated with a reduced risk of MetS [17–20]. Vegetables and fruits are important contributors of vitamin A, vitamin C, magnesium, and potassium, and they may help support health and wellness and potentially reduce the risk of chronic diseases . MetS has been associated with greater intake of key nutrients. Vitamin D status was assessed by serum 25-hydroxyvitamin D [25(OH)D] concentrations. Data from the Third National Health and Nutrition Examination Survey (NHANESIII) showed an inverse association between 25(OH)D and MetS . Altered vitamin D homeostasis was associated with increased risk of developing MetS . Zinc is involved in the synthesis, storage, and release of insulin. The present study displayed that dietary zinc intake was inversely associated with MetS . Some studies have shown that increased dietary magnesium intake was associated with lower risk of the MetS [25, 26].
Because an individual’s diet is composed of a wide variety of foods containing complex combinations of nutrients, research that examines a single nutrient may not adequately account for the complex interactions among all the nutrients contained in certain foods and their cumulative effects on human health. Although there are many studies on single nutrient intake status and MetS, research on the health benefits of dietary nutrient patterns is limited. Meanwhile, we are more interested in vitamins and minerals, which play an important role in the prevention of MetS. Thus, the aim of our study was to investigate the relationship between dietary nutrients, specifically intake of vitamins and minerals in Chinese adults with MetS, which may be more significant for prevention of MetS than research on a single nutrient.
All individuals were recruited from the Health Examination Center of Heping District in Tianjin, China. In total, 1247 individuals met the criteria for MetS according to the National Cholesterol Education Program- Adult Treatment Panel III (NCEP-ATP III) in the Asian population; 150 patients were randomly selected as the case group, and 123 patients agreed to participate and provided complete information. For the control group without MetS, 150 age- , gender- and residence area–matched subjects with no history of obesity, hyperlipidaemia, hypertension, or diabetes mellitus were selected, and the data from 135 subjects were analysed. The response rate was 86%.
Participants enrolled in the study met the following inclusion criteria: 1) willingness to participate, 2) aged 30–70 years, 3) absence of any clinical disease, 4) not pregnant or lactating, and 5) residing in Tianjin for ≥5 years.
MetS was diagnosed if the patient had 3 or more of the following risk factors, as established by the NCEP-ATP III : 1) waist circumference (WC) ≥90 cm in men or ≥80 cm in women, 2) triglycerides level (TG) ≥1.70 mmol/L, 3) high-density lipoprotein-cholesterol (HDL-c) level <1.03 mmol/L in men or <1.30 mmol/L in women, 4) systolic blood pressure (SBP)/diastolic blood pressure (DBP) ≥130/85 mmHg or current use of antihypertensive medications, and 5) fasting blood glucose (FBG) level ≥5.6 mmol/L or already taking oral hypoglycaemic agents for treatment of type 2 diabetes.
Twenty-seven patients with MetS were excluded from the study because dietary data were not available and questionnaire information was not complete, and 15 controls were excluded because of missing data on physical activity level or any anthropometric measurement and biochemical variable.
Ethical approval for and permission to conduct this study were obtained from the Ethics Committee of Tianjin Medical University, and written informed consent was obtained from all participants.
Dietary data were collected using 24-h dietary recalls. Each participant was asked by a trained interviewer to provide the name and amount of all foods consumed. The daily intake of energy and nutrients was averaged over 7 days to estimate usual dietary intake, and the main nutrients of interest were energy, protein, total fat, and cholesterol, and specifically intake of vitamins and minerals. Nutrient intake for each food item consumed was calculated by multiplying the nutrient content listed in the Chinese Food Composition Table , and total dietary intake of each nutrient was calculated by adding the intake of that nutrient from each food item consumed. All values obtained for nutrient intake were adjusted for total energy intake using the regression residual method and presented in terms of energy-adjusted values .
Blood samples were collected from each participant while in a seated position after fasting for at least 12 h. Levels of serum TG, total cholesterol (TC), HDL-c, low-density lipoprotein cholesterol (LDL-c), FBG, and uric acid (UA) were measured using a Hitachi 7180 automatic analyser (Hitachi, Japan).
Anthropometric and lifestyle assessment
Anthropometric measurement and demographic variables were collected from each individual. The blood pressure of each participant was measured twice using a standard mercury sphygmomanometer after he or she had been sitting for 15 min. WC was measured as the narrowest circumference between the bottom of the rib cage and the iliac crest using a tape measure. Height and weight were measured to the nearest 0.5 cm and 0.1 kg with the participant wearing light clothes and no shoes. Body mass index (BMI) was then calculated as weight (kilograms)/height (meters)2. Data on demographic variables, including age, gender, educational level, physical activity, and smoking status, were obtained by conducting a questionnaire. The educational level of the participants was reported in years of education. The physical activity level of the participants was recorded during the interview and categorized as 1 of 3 levels at work as recommended by the Chinese Nutrition Society : light (eg, office work, repairing watches and electronics, salesperson, waiter/waitress, teacher), moderate (eg, general activity of students, the productive activities of industry workers, electrician, mechanics), and heavy (eg, the productive activities of non-mechanized agriculture, dance, sports competition, loading or unloading/mine workers). Smoking status was defined as current smoker and non-smoker; current smokers were defined as those who smoked at least one cigarette per day, and non-smokers were former smokers and people who had never smoked a cigarette.
All data are presented as the mean and standard deviation for continuous variables and contingency tables for categorical data and are listed by status of case patients and control subjects. Continuous variables were analysed using the independent-samples t test, and categorical data were examined using the chi-square test. For each subject, the mean of individual nutrients from 24-h dietary recall was used for analysis. To investigate the dietary nutrient intake status in predicting the risk of MetS, we used factor analysis to identify nutrient groups and determine factor loadings.
Principal component factor analysis (PCFA) was used to derive dietary nutrient patterns and to determine factor loadings. Factors were rotated with varimax rotation to maintain uncorrelated factors and enhance interpretability . The number of factors to retain was chosen based on an eigenvalue >1, scree plot test, and factor interpretability. We categorized the tertile cut-offs of dietary nutrient pattern scores based on the factor scores of the controls. Nutrients were found to have rotated factor loadings ≥0.32 . We estimated the odds ratio (OR) and 95% confidence interval (CI) for each tertile using logistic regression models. These analyses were adjusted for various variables in 2 models. Model 1 was adjusted for age, gender (male/female), education level, smoking status (non-smoker/current smoker), and physical activity level (light, moderate, and heavy). Model 2 included an additional adjustment for BMI, which was included as a covariate to isolate the independent effects of central adiposity as measured by WC.
All statistical analyses were performed using Statistical Package for the Social Sciences software version 16.0 (SPSS Inc., Chicago, IL, USA). In this study, a P-value <0.05 was considered significant.
Basic characteristics and dietary nutrient intake of case and control subjects
N = 123
N = 135
Physical activity level
Mean ± Std Dev
Mean ± Std Dev
P -value 2
Education level, years
Uric acid, μmol/l
Total fat, g
Vitamin A , μg RE
Vitamin C, mg
Vitamin E, mg
Factor loading matrix and explained variance for nutrient patterns identified by factor analysis
Proportion of explained variance (%)
Cumulative explained variance (%)
OR of MetS and corresponding 95%CIs on tertiles of factor scores from a PCFA
Tertiles of dietary nutrient pattern factor score
Vitamin B group
0.47 (0.24, 0.95)
0.38 (0.18, 0.76)
0.21 (0.08, 0.57)
0.16 (0.05, 0.47)
Protein and lipids
0.98 (0.49, 1.96)
0.43 (0.16, 1.14)
1.20 (0.46, 3.14)
Vitamin E and minerals
0.90 (0.45, 1.79)
0.73 (0.37, 1.44)
1.64 (0.63, 4.25)
0.73 (0.29, 1.86)
3.24 (1.56, 6.73)
1.30 (0.65, 2.63)
2.89 (1.04, 7.96)
2.22 (0.82, 5.94)
This case–control study investigated the relationship between dietary nutrient intake status and MetS. Our results suggested that the “vitamin B group” pattern was negatively associated with the prevalence and incidence of MetS.
The “vitamin B group” examined here included thiamine (vitamin B1), riboflavin (vitamin B2), and niacin (vitamin B5). Both thiamine and riboflavin are water-soluble vitamins that cannot be synthesized by the human body and must be consumed daily at an adequate level [33, 34].
Our hypothesis was that the “vitamin B group” pattern was negatively associated with the risk of MetS. Several studies of dietary nutrients may partly support our hypothesis. Firstly, a recent study found that thiamine supplementation may affect metabolic abnormalities in Otsuka Long-Evans Tokushima Fatty (OLETF) rats, which are bred to exhibit obesity and metabolic disorders similar to those experienced by humans with MetS . Thiamine is necessary for many metabolic processes, including endocrine and exocrine functioning of pancreatic β cells. Thiamine deficiency leaded to impaired insulin synthesis and secretion and ultimately the development of insulin resistance (IR) and macrovascular disease [36, 37]. Several experimental and clinical studies have used thiamine supplementation to treat various genetic disorders linked to metabolic pathway dysfunction, including MetS [33, 38, 39]. Dietary cereals (especially breakfast cereals) appeared to be more useful in the maintenance of an adequate thiamine status . Secondly, several studies have shown that intake of niacin, a broad-spectrum lipid-modulating agent, can have significantly beneficial effects on atherogenic dyslipidemia by reducing serum TG and LDL-c levels and increasing the HDL-c level [41, 42]. In addition, several studies have found that niacin supplementation has beneficial effects on lipid levels in patients with MetS, diabetes, and atherosclerosis, and the pharmacological level of niacin required can treat lipid disorders and cardiovascular disease (CVD) . A Korean study concluded that adequate daily intake of niacin reduced the risk of MetS, whereas inadequate intake increased the risk . Riboflavin is unique among the water-soluble vitamins in that cereals, meat, and fish are good sources of riboflavin, and certain fruits and vegetables, especially dark-green vegetables, contain reasonably high concentrations . Daily consumption of breakfast cereal with milk would be expected to maintain an adequate intake of riboflavin [46–48]. Current interest is focused on the role of riboflavin in determining circulating concentrations of homocysteine, a risk factor for CVD . Riboflavin is required as a correlative factor, and enhanced riboflavin status results in a marked lowering of homocysteine levels, which may be of benefit in treatment of CVD . A relational study shown that riboflavin deficiency may exert some of its effects by reducing the metabolism of other B vitamins , and long-term supplementation with riboflavin and pyridoxine HCl (vitamin B6 hydrochloride) improved erythrocyte vitamin B2 and B6 levels . The complex interactions among these nutrients might be related to MetS, which should be clarified in a future study. Our findings suggest that the “vitamin B group” pattern as a whole may be a more important factor that influences the prevalence of MetS than a single nutrient. These nutrients, together with MetS, may cooperatively mediate the beneficial association with the “vitamin B group” pattern. Vitamin B group are rich in nuts, millet, beans foods, and certain fruits (such as tangerines, peaches, and grapes) [28, 45]. Although different vegetables have different B vitamin contents, dark-green vegetables, peppers, and cruciferous vegetables are generally good sources of B vitamins . The priority of the modern diet should be low-processed cereal products that contain high levels of B vitamins. Czaja et al. showed that the richest source of thiamine and niacin is wild rice . Further, a long-term study is required to clarify the association between the vitamin B group pattern and MetS in the future.
Oxidative stress is invariably associated with MetS. Although epidemiological studies have demonstrated that vitamin C and vitamin E decrease the incidence of coronary heart disease, clinical trials have failed to support the beneficial effect of these antioxidants . Meanwhile, as a part of vitamin A, retinol + retinyl esters had a positive relationship with IR, UA, and MetS . Samara et al. showed that calcium levels were positively related to TG and negatively to HDL-c in women . Our findings demonstrated that there was no negative correlation between the antioxidant vitamins group and MetS, but this relationship must be confirmed in a future study.
To the best of our knowledge, this was the first study to examine dietary nutrient patterns on the risk of MetS. However, this study has several limitations. First, the sample size was relatively small and the study population does not reflect the general population, so our results may not be extended to other populations. Second, energy and nutrient intake in this study were based on a single 24-h dietary recall, which are frequently used in dietary assessment and intake for 7 days in our study was an estimator of long-term usual intake. Although we adjusted for a number of potential confounding factors, we still cannot avoid the possibility of recall bias, unresponsive bias, and other unknown confounding factors, which might influence the result of risk factor analysis. Therefore, a prospective study should be undertaken to confirm the existence of a relationship between dietary nutrient intake and MetS. Further study is required to clarify the possible mechanism underlying the relationship between the vitamin B group pattern and MetS.
In conclusion, our study showed that the “vitamin B group” pattern was negatively associated with the risk of MetS in Chinese adults. Our findings suggest that intake of B vitamins as a whole might be a simple and effective way to prevent or slow the development of MetS.
- NCEP-ATP III:
National cholesterol education program- adult treatment panel III
Systolic blood pressure
Diastolic blood pressure
Fasting blood glucose
High-density lipoprotein cholesterol
Low-density lipoprotein cholesterol
Body mass index
Principal component factor analysis
Otsuka long-evans tokushima fatty
- pyridoxine HCl:
vitamin B6 hydrochloride.
We express our appreciation to all of the study participants and the staff of the Health Examination Center of Heping District in Tianjin for their assistance. This study was supported by a grant from the National Science and Technology Support Program (No. 2012BAI02B02).
- National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III): Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002, 106 (25): 3143-3421.Google Scholar
- Takahashi MM, de Oliveira EP, de Carvalho AL, de Souza Dantas LA, Burini FH, Portero-McLellan KC, Burini RC: Metabolic syndrome and dietary components are associated with coronary artery disease risk score in free-living adults: a cross-sectional study. Diabetol Metab Syndr. 2011, 3: 7-10.1186/1758-5996-3-7.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu SS, Kong LZ, Gao RL, Zhu ML, Wang W, Wang YJ, Wu ZS, Chen WW, Liu MB: Outline of the report on cardiovascular disease in China, 2010. Biomed Environ Sci. 2012, 25 (3): 251-256.PubMedGoogle Scholar
- Li ZY, Xu GB, Xia TA: Prevalence rate of metabolic syndrome and dyslipidemia in a large professional population in Beijing. Atherosclerosis. 2006, 184 (1): 188-192. 10.1016/j.atherosclerosis.2005.03.033.View ArticlePubMedGoogle Scholar
- Lao XQ, Thomas GN, Jiang CQ, Zhang WS, Yin P, Adab P, Lam TH, Cheng KK: Association of the metabolic syndrome with vascular disease in an older Chinese population: Guangzhou Biobank Cohort Study. J Endocrinol Invest. 2006, 29 (11): 989-996.View ArticlePubMedGoogle Scholar
- Cai H, Huang J, Xu G, Yang Z, Liu M, Mi Y, Liu W, Wang H, Qian D: Prevalence and determinants of metabolic syndrome among women in Chinese rural areas. PLoS One. 2012, 7 (5): e36936-10.1371/journal.pone.0036936.View ArticlePubMedPubMed CentralGoogle Scholar
- King H, Aubert RE, Herman WH: Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998, 21 (9): 1414-1431. 10.2337/diacare.21.9.1414.View ArticlePubMedGoogle Scholar
- Mirmiran P, Noori N, Azizi F: A prospective study of determinants of the metabolic syndrome in adults. Nutr Metab Cardiovasc Dis. 2008, 18 (8): 567-573. 10.1016/j.numecd.2007.06.002.View ArticlePubMedGoogle Scholar
- de Oliveira EP, McLellan KC, Vaz de Arruda Silveira L, Burini RC: Dietary factors associated with metabolic syndrome in Brazilian adults. Nutr J. 2012, 11: 13-10.1186/1475-2891-11-13.View ArticlePubMedPubMed CentralGoogle Scholar
- Buckland G, Salas-Salvado J, Roure E, Bullo M, Serra-Majem L: Sociodemographic risk factors associated with metabolic syndrome in a Mediterranean population. Public Health Nutr. 2008, 11 (12): 1372-1378. 10.1017/S1368980008003492.View ArticlePubMedGoogle Scholar
- He Y, Jiang B, Wang J, Feng K, Chang Q, Fan L, Li X, Hu FB: Prevalence of the metabolic syndrome and its relation to cardiovascular disease in an elderly Chinese population. J Am Coll Cardiol. 2006, 47 (8): 1588-1594. 10.1016/j.jacc.2005.11.074.View ArticlePubMedGoogle Scholar
- He Y, Li Y, Lai J, Wang D, Zhang J, Fu P, Yang X, Qi L: Dietary patterns as compared with physical activity in relation to metabolic syndrome among Chinese adults. Nutr Metab Cardiovasc Dis. 2012Google Scholar
- Fulgoni VL, Dreher M, Davenport AJ: Avocado consumption is associated with better diet quality and nutrient intake, and lower metabolic syndrome risk in US adults: results from the National Health and Nutrition Examination Survey (NHANES) 2001–2008. Nutr J. 2013, 12: 1-10.1186/1475-2891-12-1.View ArticlePubMedPubMed CentralGoogle Scholar
- Hong S, Song Y, Lee KH, Lee HS, Lee M, Jee SH, Joung H: A fruit and dairy dietary pattern is associated with a reduced risk of metabolic syndrome. Metabolism. 2012, 61 (6): 883-890. 10.1016/j.metabol.2011.10.018.View ArticlePubMedGoogle Scholar
- Guo H, Niu K, Monma H, Kobayashi Y, Guan L, Sato M, Minamishima D, Nagatomi R: Association of Japanese dietary pattern with serum adiponectin concentration in Japanese adult men. Nutr Metab Cardiovasc Dis. 2012, 22 (3): 277-284. 10.1016/j.numecd.2010.06.006.View ArticlePubMedGoogle Scholar
- Rumawas ME, Meigs JB, Dwyer JT, McKeown NM, Jacques PF: Mediterranean-style dietary pattern, reduced risk of metabolic syndrome traits, and incidence in the Framingham Offspring Cohort. Am J Clin Nutr. 2009, 90 (6): 1608-1614. 10.3945/ajcn.2009.27908.View ArticlePubMedPubMed CentralGoogle Scholar
- Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC: Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr. 2006, 84 (6): 1489-1497.PubMedGoogle Scholar
- Castanho GK, Marsola FC, McLellan KC, Nicola M, Moreto F, Burini RC: Consumption of fruit and vegetables associated with the Metabolic Syndrome and its components in an adult population sample. Cien Saude Colet. 2013, 18 (2): 385-392. 10.1590/S1413-81232013000200010.View ArticlePubMedGoogle Scholar
- Huang HY, Korivi M, Tsai CH, Yang JH, Tsai YC: Supplementation of Lactobacillus plantarum K68 and Fruit-Vegetable Ferment along with High Fat-Fructose Diet Attenuates Metabolic Syndrome in Rats with Insulin Resistance. Evid Based Complement Alternat Med. 2013, 943020Google Scholar
- Ali A, Yazaki Y, Njike VY, Ma Y, Katz DL: Effect of fruit and vegetable concentrates on endothelial function in metabolic syndrome: a randomized controlled trial. Nutr J. 2011, 10: 72-10.1186/1475-2891-10-72.View ArticlePubMedPubMed CentralGoogle Scholar
- Yin X, Sun Q, Zhang X, Lu Y, Sun C, Cui Y, Wang S: Serum 25(OH)D is inversely associated with metabolic syndrome risk profile among urban middle-aged Chinese population. Nutr J. 2012, 11: 68-10.1186/1475-2891-11-68.View ArticlePubMedPubMed CentralGoogle Scholar
- Ford ES, Ajani UA, McGuire LC, Liu S: Concentrations of serum vitamin D and the metabolic syndrome among U.S. adults. Diabetes Care. 2005, 28 (5): 1228-1230. 10.2337/diacare.28.5.1228.View ArticlePubMedGoogle Scholar
- Hypponen E, Boucher BJ, Berry DJ, Power C: 25-hydroxyvitamin D, IGF-1, and metabolic syndrome at 45 years of age: a cross-sectional study in the 1958 British Birth Cohort. Diabetes. 2008, 57 (2): 298-305.View ArticlePubMedGoogle Scholar
- Li Y, Guo H, Wu M, Liu M: Serum and dietary antioxidant status is associated with lower prevalence of the metabolic syndrome in a study in Shanghai. China. Asia Pac J Clin Nutr. 2013, 22 (1): 60-68.PubMedGoogle Scholar
- McKeown NM, Jacques PF, Zhang XL, Juan W, Sahyoun NR: Dietary magnesium intake is related to metabolic syndrome in older Americans. Eur J Nutr. 2008, 47 (4): 210-216. 10.1007/s00394-008-0715-x.View ArticlePubMedGoogle Scholar
- Huang JH, Lu YF, Cheng FC, Lee JN, Tsai LC: Correlation of magnesium intake with metabolic parameters, depression and physical activity in elderly type 2 diabetes patients: a cross-sectional study. Nutr J. 2012, 11: 41-10.1186/1475-2891-11-41.View ArticlePubMedPubMed CentralGoogle Scholar
- Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC, et al: Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005, 112 (17): 2735-2752. 10.1161/CIRCULATIONAHA.105.169404.View ArticlePubMedGoogle Scholar
- Yang Y, Wang G, Pan X: China Food Composition Tables 2002. 2002, Beijing: Beijing University Medical PressGoogle Scholar
- Willett WC: Nutritional epidemiology. 1998, New York: Oxford University PressView ArticleGoogle Scholar
- Chinese Nutrition Society: Chinese Dietary Reference Intakes (DRIs). 2001, Beijing: China Light Industry PressGoogle Scholar
- Kim J, Mueller C: Factor analysis: statistical methods and practical issues. 1978, Beverly, Hills, Calif: Sage PublicationsView ArticleGoogle Scholar
- Norman GR, Streiner DL: Biostatistics:the bare essentials.2nd ed. 2000, Toronto: BC DeckerGoogle Scholar
- Page GL, Laight D, Cummings MH: Thiamine deficiency in diabetes mellitus and the impact of thiamine replacement on glucose metabolism and vascular disease. Int J Clin Pract. 2011, 65 (6): 684-690. 10.1111/j.1742-1241.2011.02680.x.View ArticlePubMedGoogle Scholar
- Reihl P, Stolz J: The monocarboxylate transporter homolog Mch5p catalyzes riboflavin (vitamin B2) uptake in Saccharomyces cerevisiae. J Biol Chem. 2005, 280 (48): 39809-39817. 10.1074/jbc.M505002200.View ArticlePubMedGoogle Scholar
- Tanaka T, Kono T, Terasaki F, Yasui K, Soyama A, Otsuka K, Fujita S, Yamane K, Manabe M, Usui K, et al: Thiamine prevents obesity and obesity-associated metabolic disorders in OLETF rats. J Nutr Sci Vitaminol (Tokyo). 2010, 56 (6): 335-346. 10.3177/jnsv.56.335.View ArticleGoogle Scholar
- Rathanaswami P, Pourany A, Sundaresan R: Effects of thiamine deficiency on the secretion of insulin and the metabolism of glucose in isolated rat pancreatic islets. Biochem Int. 1991, 25 (3): 577-583.PubMedGoogle Scholar
- Rathanaswami P, Sundaresan R: Effects of thiamine deficiency on the biosynthesis of insulin in rats. Biochem Int. 1991, 24 (6): 1057-1062.PubMedGoogle Scholar
- Hartge MM, Kintscher U, Unger T: Endothelial dysfunction and its role in diabetic vascular disease. Endocrinol Metab Clin North Am. 2006, 35 (3): 551-560. 10.1016/j.ecl.2006.06.006. viii-ixView ArticlePubMedGoogle Scholar
- Stehouwer CD, Schaper NC: The pathogenesis of vascular complications of diabetes mellitus: one voice or many?. Eur J Clin Invest. 1996, 26 (7): 535-543. 10.1046/j.1365-2362.1996.1780527.x.View ArticlePubMedGoogle Scholar
- Ortega RM, Lopez-Sobaler AM, Andres P, Rodriguez-Rodriguez E, Aparicio A, Bermejo LM: Increasing consumption of breakfast cereal improves thiamine status in overweight/obese women following a hypocaloric diet. Int J Food Sci Nutr. 2009, 60 (1): 69-79. 10.1080/09637480701600302.View ArticlePubMedGoogle Scholar
- Chapman MJ, Redfern JS, McGovern ME, Giral P: Niacin and fibrates in atherogenic dyslipidemia: pharmacotherapy to reduce cardiovascular risk. Pharmacol Ther. 2010, 126 (3): 314-345. 10.1016/j.pharmthera.2010.01.008.View ArticlePubMedGoogle Scholar
- Guyton JR, Goldberg AC, Kreisberg RA, Sprecher DL, Superko HR, O’Connor CM: Effectiveness of once-nightly dosing of extended-release niacin alone and in combination for hypercholesterolemia. Am J Cardiol. 1998, 82 (6): 737-743. 10.1016/S0002-9149(98)00448-2.View ArticlePubMedGoogle Scholar
- Canner PL, Furberg CD, McGovern ME: Benefits of niacin in patients with versus without the metabolic syndrome and healed myocardial infarction (from the Coronary Drug Project). Am J Cardiol. 2006, 97 (4): 477-479. 10.1016/j.amjcard.2005.08.070.View ArticlePubMedGoogle Scholar
- Shin E, Park NY, Jang Y, Oh H, Jeong J, Lim Y, Lee M: The association of lipoprotein lipase PvuII polymorphism and niacin intake in the prevalence of metabolic syndrome: a KMSRI-Seoul study. Genes Nutr. 2012, 7 (2): 331-341. 10.1007/s12263-011-0251-9.View ArticlePubMedGoogle Scholar
- Powers HJ: Riboflavin (vitamin B-2) and health. Am J Clin Nutr. 2003, 77 (6): 1352-1360.PubMedGoogle Scholar
- Morgan KJ, Zabik ME, Leveille GA: The role of breakfast in nutrient intake of 5- to 12-year-old children. Am J Clin Nutr. 1981, 34 (7): 1418-1427.PubMedGoogle Scholar
- Morgan KJ, Zabik ME: The influence of ready-to-eat cereal consumption at breakfast on nutrient intakes of individuals 62 years and older. J Am Coll Nutr. 1984, 3 (1): 27-44.View ArticlePubMedGoogle Scholar
- Preziosi P, Galan P, Deheeger M, Yacoub N, Drewnowski A, Hercberg S: Breakfast type, daily nutrient intakes and vitamin and mineral status of French children, adolescents, and adults. J Am Coll Nutr. 1999, 18 (2): 171-178. 10.1080/07315724.1999.10718846.View ArticlePubMedGoogle Scholar
- McNulty H, Pentieva K, Hoey L, Ward M: Homocysteine, B-vitamins and CVD. Proc Nutr Soc. 2008, 67 (2): 232-237. 10.1017/S0029665108007076.View ArticlePubMedGoogle Scholar
- Mydlik M, Derzsiova K: Erythrocyte vitamin B1, B2 and B6 in nephrotic syndrome. Miner Electrolyte Metab. 1992, 18 (2–5): 293-294.PubMedGoogle Scholar
- Ganji V, Kafai MR: Frequent consumption of milk, yogurt, cold breakfast cereals, peppers, and cruciferous vegetables and intakes of dietary folate and riboflavin but not vitamins B-12 and B-6 are inversely associated with serum total homocysteine concentrations in the US population. Am J Clin Nutr. 2004, 80 (6): 1500-1507.PubMedGoogle Scholar
- Czaja J, Lebiedzinska A, Dawidowska A, Panasiuk K, Szefer P: Evaluation of selected cereal products as a source of thiamine and niacin in diet. Rocz Panstw Zakl Hig. 2012, 63 (2): 187-192.PubMedGoogle Scholar
- Xu YJ, Tappia PS, Neki NS, Dhalla NS: Prevention of diabetes-induced cardiovascular complications upon treatment with antioxidants. Heart Fail Rev. 2013Google Scholar
- Beydoun MA, Canas JA, Beydoun HA, Chen X, Shroff MR, Zonderman AB: Serum antioxidant concentrations and metabolic syndrome are associated among U.S. adolescents in recent national surveys. J Nutr. 2012, 142 (9): 1693-1704. 10.3945/jn.112.160416.View ArticlePubMedPubMed CentralGoogle Scholar
- Samara A, Herbeth B, Ndiaye NC, Fumeron F, Billod S, Siest G, Visvikis-Siest S: Dairy product consumption, calcium intakes, and metabolic syndrome-related factors over 5 years in the STANISLAS study. Nutrition. 2013, 29 (3): 519-524. 10.1016/j.nut.2012.08.013.View ArticlePubMedGoogle Scholar
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