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JNFS 2022, 7(3): 355-361 |
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Gholami S, Hazar N, Bagheri-Fahraji B, Azizi R, Ghadiri-Anari A, Nadjarzadeh A, et al . The Association between Metabolic Syndrome and the Consumption of some Supplements. JNFS 2022; 7 (3) :355-361
URL: http://jnfs.ssu.ac.ir/article-1-453-en.html
URL: http://jnfs.ssu.ac.ir/article-1-453-en.html
Somaye Gholami 
, Narjes Hazar , Behnam Bagheri-Fahraji , Reyhaneh Azizi , Akram Ghadiri-Anari * , Azadeh Nadjarzadeh , Seyed Yaser Ghelmani , Masoud Mirzaei , Sayyed Saeid Khayyatzadeh
, Narjes Hazar , Behnam Bagheri-Fahraji , Reyhaneh Azizi , Akram Ghadiri-Anari * , Azadeh Nadjarzadeh , Seyed Yaser Ghelmani , Masoud Mirzaei , Sayyed Saeid Khayyatzadeh
Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
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The Association between Metabolic Syndrome and the Consumption of some Supplements
Somaye Gholami; MSc1, Narjes Hazar; MD2, Behnam Bagheri-Fahraji; MSc3, Reyhaneh Azizi; MD2,
Akram Ghadiri-Anari; MD *2,4, Azadeh Nadjarzadeh; PhD4,5, Seyed Yaser Ghelmani; MD1 &
Masoud Mirzaei; MD, PhD6, Sayyed Saeid Khayyatzadeh; PhD4,5
Somaye Gholami; MSc1, Narjes Hazar; MD2, Behnam Bagheri-Fahraji; MSc3, Reyhaneh Azizi; MD2,
Akram Ghadiri-Anari; MD *2,4, Azadeh Nadjarzadeh; PhD4,5, Seyed Yaser Ghelmani; MD1 &
Masoud Mirzaei; MD, PhD6, Sayyed Saeid Khayyatzadeh; PhD4,5
1 Clinical Research Development Center, Shahid Sadoughi Hospital, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2 Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
3 Research Officer, Yazd Health Study, Shahid Sadoughi University of Medical Sciences.Yazd-Iran.
4 Nutrition and Food Security Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
5 Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
6 Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2 Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
3 Research Officer, Yazd Health Study, Shahid Sadoughi University of Medical Sciences.Yazd-Iran.
4 Nutrition and Food Security Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
5 Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
6 Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| ARTICLE INFO | ABSTRACT | |
| ORIGINAL ARTICLE | Background: Beneficial effects of vitamins and dietary supplements in the prevention and treatment of metabolic syndrome (MS) are controversial. This study aims to evaluate the association between dietary supplements intake and MS. Methods: This analytical cross-sectional analysis was conducted on 9539 people aged 35-70 years who participated in the recruitment phase of Shahedieh Cohort Study in Yazd-Iran (May 2015 to September 2017). The consumption of supplements, such as multivitamin-mineral, multivitamin, calcium-D, calcium, vitamin D, folic acid, omega 3, iron, and zinc were asked in the study. the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria used for defining MS. Results: 4785 (50.2%) men and 4754 (49.8%) women with mean age of 47.64 ± 9.60 years participated in this study. The prevalence of MS was 2901 (30.41%). The participants with MS were significantly different in consuming supplements, such as Calcium-D (P < 0.001), Calcium (P < 0.001), Calcium-D or Calcium products (P = 0.001), vitamin D; injection (P = 0.017) and vitamin D orally or injection (P = 0.005), Omega 3, fish oil (P = 0.001), and at least one supplement intake (P = 0.001). However, the relationship between MS and supplement consumption was not significant after adjusting for covariates in the multivariate regression model. Conclusion: Multiple factors may be responsible for the high prevalence of MS. It seems that a known supplement may not be the pathologic factor in the MS. Keywords: Metabolic syndrome; Oxidative stress; Vitamins |
|
| Article history: Received: 2 Aug 2021 Revised: 18 Sep 2021 Accepted: 15 Oct 2021 |
||
| *Corresponding author: ghadiriam@yahoo.com Diabetes Research Center, Talar-e-Honar Alley, Shahid Sadoughi Blvd., Yazd, Iran. Postal code: 8917693571 Tel: +98 9133534921 |
Introduction
The metabolic syndrome (MS) defined as a combination of numerous factors increasing the risks of cardiovascular diseases, such as dyslipidemia, abdominal obesity, hypertension, and hyperglycemia (Takahashi et al., 2011). The prevalence of MS by the the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) criteria was 21.3 ± .017%, (27.3 ± .019% in women and 12.5 ± .015%, in men) in Yazd during 2004-2005 (Rezaianzadeh et al., 2012). The prevalence of MS has increased significantly over the last years, and the etiology includes genetic, metabolic, and environmental factors (Mirmiran et al., 2008). Among environmental factors, diet and low physical activity are the main factors related to the high prevalence of MS (Buckland et al., 2008). High levels of oxidative stress decrease endogenous and exogenous pools of antioxidants in human (Ford et al., 2003). Adults with the MS have sub-optimal concentrations of several antioxidants, such as retinyl esters, vitamin C, vitamin E, and several carotenoids, which may partially explain their increased risk for diabetes and cardiovascular disease in this group (Ford et al., 2003). Also obesity, hyperglycemia, hypertension, and hypertriglyceridemia, as the components of the MS, are characterized by high oxidative stress (Bae et al., 2001, Dandona et al., 2001, Redón et al., 2003). Some studies have shown beneficial effect of omega-3 and Calcium intake in the subjects with MS (de Camargo Talon et al., 2015, Han et al., 2019). The benefits of vitamin D supplementation on MS and related components are not clear (Kern and Mitmesser, 2018). Piazzolla et al. revealed that early correction of folic acid levels may prevent cardiovascular complications in MS patients (Piazzolla et al., 2019). Ghamarchehreh et al. showed no relationship between iron status and the MS among patients with non-alcoholic fatty liver disease (Ghamarchehreh et al., 2016). Moreover, there was no relationship between any type of dietary iron and red meat intake, and the incidence of MS in the Tehran Lipid and Glucose Study (Esfandiar et al., 2019). Observational and interventional study in the relationship between dietary zinc intake and MS prevalence is controversial. Some studies have reported an inverse relationship and others have found a direct relationship between zinc status and prevalence of MS (Ruz et al., 2019).
Currently, there are concerns to find effective strategies to detect, treat, and control MS. Also it is unclear to what extent some supplements could be beneficial to MS. The present study was conducted due to high prevalence of MS in Yazd city and controversy about the association between supplements and MS.
Materials and Methods
Study population and data collection: This analytical cross-sectional study was conducted on 9539 people aged 35-70 years living in Shahedieh, Zarch, and Ashkezar cities of Yazd province. This study is a subset of the PERSIAN Cohort Study; a prospective cohort study aiming to include 180,000 Iranians aged 35–70 years from 18 geographically distinct areas of Iran. While the Ministry of Health and Medical Education have monitored the project, investigators at local universities carried it out. The universities of medical sciences in 18 cities and regions of Iran were included. The protocol of this study was published elsewhere (Poustchi et al., 2018).
Men and women aged 35–70 years living in Shahedieh, Zarch, and Ashkezar cities were invited to participate in the study. The inclusion criteria were being indigenous and living in designated area for at least 9 months of the year. The subjects with physical or psychological disabilities that render them unable to complete the recruitment process were excluded from the study. The participants were invited to the Cohort office face-to-face and door-to-door by trained research staffs. This approach was consistent with the indigenous culture. After completing the informed consent form, anthropometric measurements and data collection were conducted by the researchers in an interview. Age, sex, body mass index (BMI), physical activity, tobacco smoking, and consumption of supplements, such as multivitamin-mineral, multivitamin, Calcium-D, Calcium, vitamin D injection or orally intake, folic acid, omega 3, iron, and zinc were asked and recorded by a trained interviewer.
The revised criteria of the NCEP-ATP III was used to define MS (Grundy et al., 2005). The NCEP-ATP III criteria define MS as the presence of any of three or more of the following five MS components: waist circumference ≥ 102 cm for men and ≥ 88 cm for women according to the Iranian society for the study of obesity cut-off point for abdominal obesity (Rashidy‐Pour et al., 2009); triglyceride levels ≥150 mg/dl or taking medication for elevated triglycerides; high-density lipoprotein (HDLc) cholesterol levels < 40 mg/dl (< 50 mg/dl for women) or taking medication to decrease HDLc; systolic blood pressure > 130 mmHg or diastolic blood pressure > 85 mmHg or taking antihypertensive medication; fasting blood glucose (FBS) >100 mg/dl or taking medication for elevated glucose levels. The MS phenotypes represented any three or more combinations of the five MS components.
Measurements: The consumption of supplements is defined positive if each supplement is taken at the current time or during past 12 months. The International Physical Activity Questionnaire (IPAQ) was used to calculate physical activity levels. The amount of each activity in hours and min was determined. The MET-value of each activity was multiplied by its duration, and total MET score was calculated. So physical activity is divided into three categories with low physical activity (less than 30 min of physical activity per week), moderate physical activity (30 min to 2 hours of physical activity per week), and high physical activity (more than 2 hours of physical activity per week). Blood pressure was measured from each right and left hand, and finally the mean was recorded.
Blood chemistry tests, such as FBS, triglycerides (TG), and HDLc were analyzed using an auto analyzer BA-400 (Bio systems, European). Commercially available kits were used according to the manufacturer’s instructions.
Weight was measured without shoes and wearing only light clothing using an electronic weighing scale (SECA, Model Country: Germany) and recorded to the nearest 100 g. Height was measured once at baseline without shoes with the subject stretching to the maximum height and the head positioned in the plane using a portable stadiometer and was recorded to the nearest 0.1 cm. BMI was also calculated (kg/m2). Waist circumference (WC) was measured midway between the lowest border of rib cage and the upper border of iliac crest, at the end of normal expiration. For all measurements the tape was positioned at a level parallel to the floor.
Ethical consideration: This study was approved by the Ethics Committee of Shahid Sadoughi University of Medical Sciences, Yazd, Iran with the reference number IR.SSU.REC.1399.064 and informed consent was obtained from all the participants.
Data analyses: SPSS version 20 software was used for statistical analysis. The results were expressed as mean ± standard deviation for quantitative and percentage for qualitative variables. The relationship between MS and each supplement was assessed by chi-square test. Then Logistic regression analysis was performed to identify mentioned relationship after adjustment for some variables. Four models were used and the variables entered the models as follows: Model 1: Adjustment for age and sex; Model 2: Adjustment for age, sex, and BMI; Model 3: Adjustment for age, sex, BMI, and physical activity; Model 4: Adjustment for age, sex, BMI, physical activity, and smoking. P-value of less than 0.05 was considered to be statistically significant.
Results
Among 9539 participants, 4785 (50.2%) were men and 4754 (49.8%) were women. The mean age of participants was 47.64 ± 9.60 years (range 35-70 years). Demographics of the participants’ supplements consumption are summarized in Table 1. The prevalence of MS was 2901 (30.41%).
Comparison of supplements intake in the subjects with and without MS in the study population is shown in Table 2. The participants with MS differ from healthy subjects in consuming supplements, such as Calcium-D (P < 0.001), Calcium (P < 0.001), Calcium-D or Calcium products (P = 0.001), vitamin D, injection (P = 0.017), vitamin D oral or injection (P = 0.005), Omega 3, fish oil (P = 0.001), and at least one supplement (P = 0.001).
Table 3 reveals the results using the multivariate regression model. In all models, the relationship between MS and supplement intake was not significant after adjusting for covariates.
Currently, there are concerns to find effective strategies to detect, treat, and control MS. Also it is unclear to what extent some supplements could be beneficial to MS. The present study was conducted due to high prevalence of MS in Yazd city and controversy about the association between supplements and MS.
Materials and Methods
Study population and data collection: This analytical cross-sectional study was conducted on 9539 people aged 35-70 years living in Shahedieh, Zarch, and Ashkezar cities of Yazd province. This study is a subset of the PERSIAN Cohort Study; a prospective cohort study aiming to include 180,000 Iranians aged 35–70 years from 18 geographically distinct areas of Iran. While the Ministry of Health and Medical Education have monitored the project, investigators at local universities carried it out. The universities of medical sciences in 18 cities and regions of Iran were included. The protocol of this study was published elsewhere (Poustchi et al., 2018).
Men and women aged 35–70 years living in Shahedieh, Zarch, and Ashkezar cities were invited to participate in the study. The inclusion criteria were being indigenous and living in designated area for at least 9 months of the year. The subjects with physical or psychological disabilities that render them unable to complete the recruitment process were excluded from the study. The participants were invited to the Cohort office face-to-face and door-to-door by trained research staffs. This approach was consistent with the indigenous culture. After completing the informed consent form, anthropometric measurements and data collection were conducted by the researchers in an interview. Age, sex, body mass index (BMI), physical activity, tobacco smoking, and consumption of supplements, such as multivitamin-mineral, multivitamin, Calcium-D, Calcium, vitamin D injection or orally intake, folic acid, omega 3, iron, and zinc were asked and recorded by a trained interviewer.
The revised criteria of the NCEP-ATP III was used to define MS (Grundy et al., 2005). The NCEP-ATP III criteria define MS as the presence of any of three or more of the following five MS components: waist circumference ≥ 102 cm for men and ≥ 88 cm for women according to the Iranian society for the study of obesity cut-off point for abdominal obesity (Rashidy‐Pour et al., 2009); triglyceride levels ≥150 mg/dl or taking medication for elevated triglycerides; high-density lipoprotein (HDLc) cholesterol levels < 40 mg/dl (< 50 mg/dl for women) or taking medication to decrease HDLc; systolic blood pressure > 130 mmHg or diastolic blood pressure > 85 mmHg or taking antihypertensive medication; fasting blood glucose (FBS) >100 mg/dl or taking medication for elevated glucose levels. The MS phenotypes represented any three or more combinations of the five MS components.
Measurements: The consumption of supplements is defined positive if each supplement is taken at the current time or during past 12 months. The International Physical Activity Questionnaire (IPAQ) was used to calculate physical activity levels. The amount of each activity in hours and min was determined. The MET-value of each activity was multiplied by its duration, and total MET score was calculated. So physical activity is divided into three categories with low physical activity (less than 30 min of physical activity per week), moderate physical activity (30 min to 2 hours of physical activity per week), and high physical activity (more than 2 hours of physical activity per week). Blood pressure was measured from each right and left hand, and finally the mean was recorded.
Blood chemistry tests, such as FBS, triglycerides (TG), and HDLc were analyzed using an auto analyzer BA-400 (Bio systems, European). Commercially available kits were used according to the manufacturer’s instructions.
Weight was measured without shoes and wearing only light clothing using an electronic weighing scale (SECA, Model Country: Germany) and recorded to the nearest 100 g. Height was measured once at baseline without shoes with the subject stretching to the maximum height and the head positioned in the plane using a portable stadiometer and was recorded to the nearest 0.1 cm. BMI was also calculated (kg/m2). Waist circumference (WC) was measured midway between the lowest border of rib cage and the upper border of iliac crest, at the end of normal expiration. For all measurements the tape was positioned at a level parallel to the floor.
Ethical consideration: This study was approved by the Ethics Committee of Shahid Sadoughi University of Medical Sciences, Yazd, Iran with the reference number IR.SSU.REC.1399.064 and informed consent was obtained from all the participants.
Data analyses: SPSS version 20 software was used for statistical analysis. The results were expressed as mean ± standard deviation for quantitative and percentage for qualitative variables. The relationship between MS and each supplement was assessed by chi-square test. Then Logistic regression analysis was performed to identify mentioned relationship after adjustment for some variables. Four models were used and the variables entered the models as follows: Model 1: Adjustment for age and sex; Model 2: Adjustment for age, sex, and BMI; Model 3: Adjustment for age, sex, BMI, and physical activity; Model 4: Adjustment for age, sex, BMI, physical activity, and smoking. P-value of less than 0.05 was considered to be statistically significant.
Results
Among 9539 participants, 4785 (50.2%) were men and 4754 (49.8%) were women. The mean age of participants was 47.64 ± 9.60 years (range 35-70 years). Demographics of the participants’ supplements consumption are summarized in Table 1. The prevalence of MS was 2901 (30.41%).
Comparison of supplements intake in the subjects with and without MS in the study population is shown in Table 2. The participants with MS differ from healthy subjects in consuming supplements, such as Calcium-D (P < 0.001), Calcium (P < 0.001), Calcium-D or Calcium products (P = 0.001), vitamin D, injection (P = 0.017), vitamin D oral or injection (P = 0.005), Omega 3, fish oil (P = 0.001), and at least one supplement (P = 0.001).
Table 3 reveals the results using the multivariate regression model. In all models, the relationship between MS and supplement intake was not significant after adjusting for covariates.
| Table 1. Demographics and frequency of supplement consumption from recruitment phase of Shahedieh Cohort study. | |
| Variables | n (%) or mean ± SD |
| Age (year) | 47.64 ± 9.60 |
| Body mass index (kg/m2) | 28.42± 4.80 |
| Sex | |
| Male | 4785 (50.2) |
| Female | 4754 (49.8) |
| Physical activity | |
| Low | 4917 (51.6) |
| Moderate | 3568 (37.4) |
| High | 1054 (11.0) |
| Smoking | 2115 (22.5) |
| Multivitamin-mineral | 315 (3.3) |
| Multivitamin | 257 (2.7) |
| Multivitamin-mineral or multivitamin | 572 (5.9) |
| Calcium-D | 1441 (15.1) |
| Calcium | 599 (6.3) |
| Calcium-D or Calcium | 2040 (21.3) |
| Vitamin D (Oral) | 1121 (11.8) |
| Vitamin D (injection) | 485 (5.1) |
| Vitamin D (oral or injection) | 1606 (16.8) |
| Folic acid | 1187 (12.4) |
| Omega 3, fish oil | 778 (8.1) |
| Iron | 1597 (16.7) |
| Zinc | 105 (1.1) |
| At least one supplement consumption | 4152 (43.5) |
| Table 2. Comparison of supplements consumption in the subjects with and without metabolic syndrome in the study population from recruitment phase of Shahedieh Cohort study. | |||||||
| Supplements consumption | Metabolic syndrome | P-valuea | |||||
| No (6638) | Yes (2901) | ||||||
| Multivitamin-mineral | 230 (3.5) | 85 (2.9) | 0.179 | ||||
| Multivitamin | 186 (2.8) | 71 (2.4) | 0.325 | ||||
| Multivitamin-mineral or Multivitamin | 416 (6.2) | 156 (5.3) | 0.090 | ||||
| Calcium-D | 934 (14.1) | 507 (17.5) | <0.001 | ||||
| Calcium | 365 (5.5) | 234 (8.1) | <0.001 | ||||
| Calcium (Total) | 1299 (19. 5) | 741 (25.5) | <0.001 | ||||
| Vitamin D (Oral) | 755 (11.4) | 366 (12.6) | 0.083 | ||||
| Vitamin D (Injection) | 314 (4.7) | 171 (5.9) | 0.017 | ||||
| Vitamin D (oral or injection) | 1069 (16.1) | 537 (18.5) | 0.005 | ||||
| Folic acid | 825 (12.4) | 362 (12.5) | 0.946 | ||||
| Omega 3 (fish oil) | 481 (7.2) | 297 (10.2) | <0.001 | ||||
| Iron | 1115 (16.8) | 482 (16.6) | 0.826 | ||||
| Zinc | 82 (1.2) | 23 (0.8) | 0.057 | ||||
| At least one supplement consumption | 2762 (41.6) | 1390 (47.9) | <0.001 | ||||
| a:chi-square test | |||||||
| Table 3. The relationship between supplement consumption and metabolic syndrome in the study population from recruitment phase of Shahedieh Cohort study. | |||||||
| Model 1 | Model 2 | Model 3 | Model 4 | ||||
| Multivitamin-mineral P-valueb |
0.83 (0.64-1.09)a 0.18 |
0.85 (0.64-1.11) 0.29 |
0.85 (0.63-1.13) 0.27 |
0.863 (0.64-1.15) 0.32 |
|||
| Multivitamin P-value |
0.88 (0.72-1.07) 0.22 |
0.93 (0.75-1.15) 0.51 |
0.92 (0.74-1.15) 0.50 |
0.96 (0.77-1.19) 0.71 |
|||
| Multivitamin, total P-value |
0.90 (0.79-1.02) 0.12 |
0.87 (0.76-1.00) 0.06 |
0.87 (0.76-1.00) 0.05 |
0.87 (0.76-1.00) 0.05 |
|||
| Calcium-D P-value |
1.12 (0.94-1.35) 0.18 |
1.09 (0.89-1.32) 0.37 |
1.09 (0.89-1.32) 0.38 |
1.08 (0.89-1.31) 0.41 |
|||
| Calcium, total P-value |
0.96 (0.86-1.08) 0.55 |
0.93 (0.82-1.05) 0.24 |
0.92 (0.82-1.04) 0.22 |
0.92 (0.82-1.04) 0.22 |
|||
| Vitamin D, tablet P-value |
0.92 (0.80-1.06) 0.28 |
0.87 (0.74-1.01) 0.07 |
0.87 (0.74-1.01) 0.07 |
0.87 (0.75-1.02) 0.09 |
|||
| Vitamin D, injection P-value |
0.90 (0.74-1.11) 0.34 |
0.82 (0.66-1.03) 0.09 |
0.82 (0.65-1.02) 0.07 |
0.82 (0.65-1.02) 0.08 |
|||
| Vitamin D, total P-value |
0.93 (0.82-1.06) 0.31 |
0.87 (0.76-1.00) 0.06 |
0.87 (0.76-1.00) 0.05 |
0.87 (0.76-1.01) 0.07 |
|||
| Omega 3, fish oil P-value |
1.08 (0.92-1.27) 0.30 |
0.95 (0.79-1.13) 0.56 |
0.94 (0.79-1.12) 0.51 |
0.93 (0.78-1.11) 0.43 |
|||
| Zinc P-value |
0.65 (0.40-1.05) 0.08 |
0.70 (0.42-1.17) 0.18 |
0.69 (0.41-1.16) 0.17 |
0.70 (0.42-1.18) 0.19 |
|||
| At least one supplement P-value |
0.97 (0.87-1.07) 0.54 |
0.95 (0.85-1.06) 0.37 |
0.94 (0.85-1.05) 0.32 |
0.94 (0.85-1.05) 0.30 |
|||
| Model 1: Adjustment for age and sex; Model 2: Adjustment for age, sex, and BMI; Model 3: Adjustment for age, sex, BMI, and physical activity; Model 4: Adjustment for age, sex, BMI, physical activity, and smoking; a: OR (95% CI); b: Logistic regression statistical test | |||||||
Discussion
In this study, the subjects with and without MS differ in the consumption of some supplements, such as Calcium products, vitamin D products, omega 3, fish oil, and at least one supplement, However, using multivariate regression model, the relationship between MS and supplements consumption was not significant after adjusting for age, sex, BMI, physical activity, and smoking.
Pathogenesis of MS includes genetic, metabolic, and environmental factors (Mirmiran et al., 2008). Diet and low physical activity are environmental factors related to the high prevalence of MS (Buckland et al., 2008). Adults with MS have low plasma level of several antioxidants, such as retinyl esters, vitamin C, vitamin E, and several carotenoids (Ford et al., 2003). Oxidative stress and low grade inflammation are two important mechanisms implicated in the pathogenesis, and developing MS and atherosclerosis (McGrowder et al., 2011, Parthasarathy et al., 2008). Therefore, dietary supplements may reduce the prevalence of MS.
After adjusting for age, sex, BMI, physical activity, and smoking, there is not any difference in supplements consumption in the subjects with and without MS. This result emphasizes that these confounding factors may be important in the development and progression of MS compared to supplement consumption.
The role of antioxidants consumption (single or in combination) in the metabolic health is controversial according to randomized clinical trials (Davì et al., 2010, Xu et al., 2014).
MS has an important role in the development of diabetes and CVD. Obesity has a major effect in the development of other features of MS. Therefore, prevention of obesity by managing an appropriate balance of energy intake is crucial for controlling MS and its consequences in the future (Xu et al., 2019). Limitation of food intake and quality selection of nutritional components affect insulin secretion, insulin sensitivity, oxidative system, and inflammatory states (Xu et al., 2019).
Positive effect of omega-3 and Calcium intake in the subjects with MS has been discussed in some studies (de Camargo Talon et al., 2015, Han et al., 2019). However, controversy regarding the effects of vitamin D supplementation on MS and related components are present (Kern and Mitmesser, 2018). The data about the relationship between dietary zinc intake and frequency of MS is controversial (Ruz et al., 2019). The underlying mechanism of vitamins and minerals effects on MS include modulation of systemic inflammation, oxidative stress, impacts on insulin secretion, and insulin sensitivity (Kern and Mitmesser, 2018).
In a prospective cohort study, a significant inverse association was found between higher healthy lifestyle scores and the incident of MS. This healthy lifestyle includes combination of less intake of alcohol, no depression, following Mediterranean diet pattern, and a slightly higher total energy intake per day. In this study, the participants with high healthy lifestyle scores had 34% lower risk of developing MS than those who had lower healthy lifestyle scores. These results emphasize the importance of healthy lifestyle (multiple factors but no single factor) as a tool for preventing MS (Garralda-Del-Villar et al., 2019).
One of the limitations of this study is ignorance of dietary intake of these vitamins/minerals in the food. Future studies with focus on the association between micro nutrient intake from both food and supplements and MS would be useful. The other limitation was the cross-sectional design and loss of its ability to conclude a cause and effect relationship.
MS is a complex research topic with multi-factorial etiology and it is not clear whether a specific supplement may be responsible for all of the etiology of MS. The present study confirms that multiple factors may be responsible in the prevalence of MS. However, consuming any supplement for treatment or prevention of metabolic diseases requires evidence derived from randomized controlled trials.
Conflict of interest
The authors declare no conflict of interest.
Acknowledgment
The authors are grateful to all participants of Shahedieh Cohort study.
Authors' contributions
Ghadiri-Anari A designed this study. Gholami S wrote this manuscript. Hazar N and Bagheri-Fahraji B helped in analyzing the data. Azizi R, Nadjarzadeh A and Ghelmani SY reviewed the manuscript. Mirzaei M and Khayyatzadeh SS were involved in supervising Shahedieh Cohort. Also Mirzaei M revised the manuscript. Ghadiri-Anari A was the main editor and correspondent of the written manuscript. All authors read and approved the final draft of the study.
References
Bae J-H, et al. 2001. Postprandial hypertriglyceridemia impairs endothelial function by enhanced oxidant stress. Atherosclerosis. 155 (2): 517-523.
Buckland G, Salas-Salvadó J, Roure E, Bulló M & Serra-Majem L 2008. Sociodemographic risk factors associated with metabolic syndrome in a Mediterranean population. Public health nutrition. 11 (12): 1372-1378.
Dandona P, et al. 2001. The suppressive effect of dietary restriction and weight loss in the obese on the generation of reactive oxygen species by leukocytes, lipid peroxidation, and protein carbonylation. Journal of clinical endocrinology & metabolism. 86 (1): 355-362.
Davì G, Santilli F & Patrono C 2010. Nutraceuticals in diabetes and metabolic syndrome. Cardiovascular therapeutics. 28 (4): 216-226.
de Camargo Talon L, de Oliveira EP, Moreto F, Portero-McLellan KC & Burini RC 2015. Omega-3 fatty acids supplementation decreases metabolic syndrome prevalence after lifestyle modification program. Journal of functional foods. 19: 922-928.
Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Habibi-Moeini A-S & Azizi F 2019. Red meat and dietary iron intakes are associated with some components of metabolic syndrome: Tehran Lipid and Glucose Study. Journal of translational medicine. 17 (1): 1-9.
Ford ES, Mokdad AH, Giles WH & Brown DW 2003. The metabolic syndrome and antioxidant concentrations: findings from the Third National Health and Nutrition Examination Survey. Diabetes. 52 (9): 2346-2352.
Garralda-Del-Villar M, et al. 2019. Healthy lifestyle and incidence of metabolic syndrome in the SUN cohort. Nutrients. 11 (1): 65.
Ghamarchehreh ME, Jonaidi-Jafari N, Bigdeli M, Khedmat H & Saburi A 2016. Iron status and metabolic syndrome in patients with non-alcoholic fatty liver disease. Middle East journal of digestive diseases. 8 (1): 31.
Grundy SM, et al. 2005. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation. 112 (17): 2735-2752.
Han D, et al. 2019. Dietary Calcium Intake and the Risk of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Scientific reports. 9 (1): 1-7.
Kern HJ & Mitmesser SH 2018. Role of nutrients in metabolic syndrome: a 2017 update. Nutrition and dietary supplements. 10: 13-26.
McGrowder D, Riley C, Morrison EYSA & Gordon L 2011. The role of high-density lipoproteins in reducing the risk of vascular diseases, neurogenerative disorders, and cancer. Cholesterol. 2011.
Mirmiran P, Noori N & Azizi F 2008. A prospective study of determinants of the metabolic syndrome in adults. Nutrition, metabolism and cardiovascular diseases. 18 (8): 567-573.
Parthasarathy S, Litvinov D, Selvarajan K & Garelnabi M 2008. Lipid peroxidation and decomposition—conflicting roles in plaque vulnerability and stability. Biochimica et biophysica acta (BBA)-Molecular and cell biology of lipids. 1781 (5): 221-231.
Piazzolla G, et al. 2019. Hyperhomocysteinemia is an independent risk factor of atherosclerosis in patients with metabolic syndrome. Diabetology & metabolic syndrome. 11 (1): 1-9.
Poustchi H, et al. 2018. Prospective epidemiological research studies in Iran (the PERSIAN Cohort Study): rationale, objectives, and design. American journal of epidemiology. 187 (4): 647-655.
Rashidy‐Pour A, Malek M, Eskandarian R & Ghorbani R 2009. Obesity in the Iranian population. Obesity reviews. 10 (1): 2-6.
Redón J, et al. 2003. Antioxidant activities and oxidative stress byproducts in human hypertension. Hypertension. 41 (5): 1096-1101.
Rezaianzadeh A, Namayandeh S-M & Sadr S-M 2012. National cholesterol education program adult treatment panel III versus international diabetic federation definition of metabolic syndrome, which one is associated with diabetes mellitus and coronary artery disease? International journal of preventive medicine. 3 (8): 552-558.
Ruz M, et al. 2019. Nutritional effects of zinc on metabolic syndrome and type 2 diabetes: mechanisms and main findings in human studies. Biological trace element research. 188 (1): 177-188.
Takahashi MM, et al. 2011. Metabolic syndrome and dietary components are associated with coronary artery disease risk score in free-living adults: a cross-sectional study. Diabetology & metabolic syndrome. 3 (1): 1-7.
Xu H, Li X, Adams H, Kubena K & Guo S 2019. Etiology of metabolic syndrome and dietary intervention. International journal of molecular sciences. 20 (1): 128.
Xu Y-J, Tappia PS, Neki NS & Dhalla NS 2014. Prevention of diabetes-induced cardiovascular complications upon treatment with antioxidants. Heart failure reviews. 19 (1): 113-121.
In this study, the subjects with and without MS differ in the consumption of some supplements, such as Calcium products, vitamin D products, omega 3, fish oil, and at least one supplement, However, using multivariate regression model, the relationship between MS and supplements consumption was not significant after adjusting for age, sex, BMI, physical activity, and smoking.
Pathogenesis of MS includes genetic, metabolic, and environmental factors (Mirmiran et al., 2008). Diet and low physical activity are environmental factors related to the high prevalence of MS (Buckland et al., 2008). Adults with MS have low plasma level of several antioxidants, such as retinyl esters, vitamin C, vitamin E, and several carotenoids (Ford et al., 2003). Oxidative stress and low grade inflammation are two important mechanisms implicated in the pathogenesis, and developing MS and atherosclerosis (McGrowder et al., 2011, Parthasarathy et al., 2008). Therefore, dietary supplements may reduce the prevalence of MS.
After adjusting for age, sex, BMI, physical activity, and smoking, there is not any difference in supplements consumption in the subjects with and without MS. This result emphasizes that these confounding factors may be important in the development and progression of MS compared to supplement consumption.
The role of antioxidants consumption (single or in combination) in the metabolic health is controversial according to randomized clinical trials (Davì et al., 2010, Xu et al., 2014).
MS has an important role in the development of diabetes and CVD. Obesity has a major effect in the development of other features of MS. Therefore, prevention of obesity by managing an appropriate balance of energy intake is crucial for controlling MS and its consequences in the future (Xu et al., 2019). Limitation of food intake and quality selection of nutritional components affect insulin secretion, insulin sensitivity, oxidative system, and inflammatory states (Xu et al., 2019).
Positive effect of omega-3 and Calcium intake in the subjects with MS has been discussed in some studies (de Camargo Talon et al., 2015, Han et al., 2019). However, controversy regarding the effects of vitamin D supplementation on MS and related components are present (Kern and Mitmesser, 2018). The data about the relationship between dietary zinc intake and frequency of MS is controversial (Ruz et al., 2019). The underlying mechanism of vitamins and minerals effects on MS include modulation of systemic inflammation, oxidative stress, impacts on insulin secretion, and insulin sensitivity (Kern and Mitmesser, 2018).
In a prospective cohort study, a significant inverse association was found between higher healthy lifestyle scores and the incident of MS. This healthy lifestyle includes combination of less intake of alcohol, no depression, following Mediterranean diet pattern, and a slightly higher total energy intake per day. In this study, the participants with high healthy lifestyle scores had 34% lower risk of developing MS than those who had lower healthy lifestyle scores. These results emphasize the importance of healthy lifestyle (multiple factors but no single factor) as a tool for preventing MS (Garralda-Del-Villar et al., 2019).
One of the limitations of this study is ignorance of dietary intake of these vitamins/minerals in the food. Future studies with focus on the association between micro nutrient intake from both food and supplements and MS would be useful. The other limitation was the cross-sectional design and loss of its ability to conclude a cause and effect relationship.
MS is a complex research topic with multi-factorial etiology and it is not clear whether a specific supplement may be responsible for all of the etiology of MS. The present study confirms that multiple factors may be responsible in the prevalence of MS. However, consuming any supplement for treatment or prevention of metabolic diseases requires evidence derived from randomized controlled trials.
Conflict of interest
The authors declare no conflict of interest.
Acknowledgment
The authors are grateful to all participants of Shahedieh Cohort study.
Authors' contributions
Ghadiri-Anari A designed this study. Gholami S wrote this manuscript. Hazar N and Bagheri-Fahraji B helped in analyzing the data. Azizi R, Nadjarzadeh A and Ghelmani SY reviewed the manuscript. Mirzaei M and Khayyatzadeh SS were involved in supervising Shahedieh Cohort. Also Mirzaei M revised the manuscript. Ghadiri-Anari A was the main editor and correspondent of the written manuscript. All authors read and approved the final draft of the study.
References
Bae J-H, et al. 2001. Postprandial hypertriglyceridemia impairs endothelial function by enhanced oxidant stress. Atherosclerosis. 155 (2): 517-523.
Buckland G, Salas-Salvadó J, Roure E, Bulló M & Serra-Majem L 2008. Sociodemographic risk factors associated with metabolic syndrome in a Mediterranean population. Public health nutrition. 11 (12): 1372-1378.
Dandona P, et al. 2001. The suppressive effect of dietary restriction and weight loss in the obese on the generation of reactive oxygen species by leukocytes, lipid peroxidation, and protein carbonylation. Journal of clinical endocrinology & metabolism. 86 (1): 355-362.
Davì G, Santilli F & Patrono C 2010. Nutraceuticals in diabetes and metabolic syndrome. Cardiovascular therapeutics. 28 (4): 216-226.
de Camargo Talon L, de Oliveira EP, Moreto F, Portero-McLellan KC & Burini RC 2015. Omega-3 fatty acids supplementation decreases metabolic syndrome prevalence after lifestyle modification program. Journal of functional foods. 19: 922-928.
Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Habibi-Moeini A-S & Azizi F 2019. Red meat and dietary iron intakes are associated with some components of metabolic syndrome: Tehran Lipid and Glucose Study. Journal of translational medicine. 17 (1): 1-9.
Ford ES, Mokdad AH, Giles WH & Brown DW 2003. The metabolic syndrome and antioxidant concentrations: findings from the Third National Health and Nutrition Examination Survey. Diabetes. 52 (9): 2346-2352.
Garralda-Del-Villar M, et al. 2019. Healthy lifestyle and incidence of metabolic syndrome in the SUN cohort. Nutrients. 11 (1): 65.
Ghamarchehreh ME, Jonaidi-Jafari N, Bigdeli M, Khedmat H & Saburi A 2016. Iron status and metabolic syndrome in patients with non-alcoholic fatty liver disease. Middle East journal of digestive diseases. 8 (1): 31.
Grundy SM, et al. 2005. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Circulation. 112 (17): 2735-2752.
Han D, et al. 2019. Dietary Calcium Intake and the Risk of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Scientific reports. 9 (1): 1-7.
Kern HJ & Mitmesser SH 2018. Role of nutrients in metabolic syndrome: a 2017 update. Nutrition and dietary supplements. 10: 13-26.
McGrowder D, Riley C, Morrison EYSA & Gordon L 2011. The role of high-density lipoproteins in reducing the risk of vascular diseases, neurogenerative disorders, and cancer. Cholesterol. 2011.
Mirmiran P, Noori N & Azizi F 2008. A prospective study of determinants of the metabolic syndrome in adults. Nutrition, metabolism and cardiovascular diseases. 18 (8): 567-573.
Parthasarathy S, Litvinov D, Selvarajan K & Garelnabi M 2008. Lipid peroxidation and decomposition—conflicting roles in plaque vulnerability and stability. Biochimica et biophysica acta (BBA)-Molecular and cell biology of lipids. 1781 (5): 221-231.
Piazzolla G, et al. 2019. Hyperhomocysteinemia is an independent risk factor of atherosclerosis in patients with metabolic syndrome. Diabetology & metabolic syndrome. 11 (1): 1-9.
Poustchi H, et al. 2018. Prospective epidemiological research studies in Iran (the PERSIAN Cohort Study): rationale, objectives, and design. American journal of epidemiology. 187 (4): 647-655.
Rashidy‐Pour A, Malek M, Eskandarian R & Ghorbani R 2009. Obesity in the Iranian population. Obesity reviews. 10 (1): 2-6.
Redón J, et al. 2003. Antioxidant activities and oxidative stress byproducts in human hypertension. Hypertension. 41 (5): 1096-1101.
Rezaianzadeh A, Namayandeh S-M & Sadr S-M 2012. National cholesterol education program adult treatment panel III versus international diabetic federation definition of metabolic syndrome, which one is associated with diabetes mellitus and coronary artery disease? International journal of preventive medicine. 3 (8): 552-558.
Ruz M, et al. 2019. Nutritional effects of zinc on metabolic syndrome and type 2 diabetes: mechanisms and main findings in human studies. Biological trace element research. 188 (1): 177-188.
Takahashi MM, et al. 2011. Metabolic syndrome and dietary components are associated with coronary artery disease risk score in free-living adults: a cross-sectional study. Diabetology & metabolic syndrome. 3 (1): 1-7.
Xu H, Li X, Adams H, Kubena K & Guo S 2019. Etiology of metabolic syndrome and dietary intervention. International journal of molecular sciences. 20 (1): 128.
Xu Y-J, Tappia PS, Neki NS & Dhalla NS 2014. Prevention of diabetes-induced cardiovascular complications upon treatment with antioxidants. Heart failure reviews. 19 (1): 113-121.
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Received: 2021/08/2 | Published: 2022/08/19 | ePublished: 2022/08/19
Received: 2021/08/2 | Published: 2022/08/19 | ePublished: 2022/08/19
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