Advertisement
BMC Nutrition volume 8, Article number: 117 (2022)
18
Metrics details
Metabolic syndrome (MetS) is a complex disorder with an increasing prevalence globally. Limited data are available about the association between dietary habits and the prevalence of MetS. The present cross-sectional study aimed to investigate the association between dietary habits and MetS in a large population sample from Iranians.
The study was conducted on 9261 adults aged 35–70 years who attended the baseline phase of Shahedieh cohort study, Yazd, Iran. Dietary habits including meal frequency, fried food consumption, adding salt to prepared meal, barbecued food consumption, used oil type and reuse oil number were assessed by a standard questionnaire. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III criteria. Logistic regression was used in different adjusted models to investigate the relationship between dietary habits and MetS: (Model I: adjusted for age, sex and energy. Model II: Model I + adjusted for wealth score index and physical activity. Model III: Model II + adjusted for cardiovascular diseases and liver diseases).
The subjects who ate barbecued-food more than 3 times/ month had 1.18 times greater odds for MetS than individual who ate this less than once/ month (OR: 1.18, 95% CI: 1.01–1.38). After further adjustment for other confounding variables, the association remained significant. No significant association was found between other dietary habits and odds of MetS.
Higher intakes of barbecued-food consumption were related to the prevalence of MetS. Larger longitudinal studies in other population groups are needed to confirm these associations.
Peer Review reports
Metabolic syndrome (MetS) is a clustering of metabolic and anthropometric abnormalities, including abdominal obesity, hypertension, increased blood glucose, elevated triglyceride (TG) and decreased high-density lipoprotein cholesterol (HDL-c) that is associated with an increased risk of coronary heart disease, stroke, type 2 diabetes and mental disorders [1, 2]. The global prevalence of MetS is increasing dramatically, and its prevalence among adults was approximately 25% in 2017 [3]. The prevalence of MetS among Iranians is high and is estimated to be approximately 30.4% [4]. MetS is a major health care problem and reduces the quality of life, therefore, finding effective strategies to prevent and manage this disease is essential [5, 6].
The pathophysiology of MetS is complex, and genetic as well as environmental factors are involved [7]. Diet is one of the most important modifiable environmental factors [8]. Some studies [9, 10] but not all [11, 12] indicate that poor eating habits can lead to the development and progression of MetS. A recent study indicated that subjects with MetS had a higher consumption of fatty and sweeter food and undesirable eating habits such as faster eating and frequent overeating than healthy people [9]. Adding salt to the food, not regularly eating salads, high meat consumption, a high intake of fried foods and adherence to the western diets are associated with risk of MetS [10, 12]. However, limited data are available about some other dietary habits including meal frequency or barbecued food consumption and MetS. Therefore, the aim of this study was evaluating the relationship between some dietary habits and prevalence of MetS among a large sample of adults who live in central region of Iran.
The present study is a cross-sectional analysis of subjects in the recruitment phase of the Shahedieh cohort study (this study was begun in 2015 and will be completed in 2025), and is a part of the PERSIAN multi-center cohort study performed on a representative sample of the Iranian adult population of 35–70 years old from 2015 to 2016 [13]. The details of the study protocol of the PERSIAN cohort was published previously [14]. In enrollment of this cohort study, 10,000 people 35–70 years residing in three areas of Yazd, Iran were recruited by multistage cluster random. Inclusion criteria included men and women aged 35–70 years that were active and energetic enough to participate in the study, being of Iranian descent and living in the designated areas for at least 9 months of the year. The individuals with physical or psychological disabilities who were unable to complete the enrollment process were excluded from the cohort study. History of diseases was assessed by a physician. In this cross-sectional study, the individuals with a history of cancer or autoimmune diseases were excluded (n = 739), and finally 9261 individuals were included in analyses. The written informed consent was obtained from all the participants and the ethics committee of Shahid Sadoughi University of Medical Sciences approved the study (approval code: IR.SSU.SPH.REC.1397.161). All methods were carried out in accordance with relevant guidelines and regulations.
Data on age and sex were obtained through by face to face interview. The participants reported their physical activity level in the last year, and the data obtained from questionnaire was converted into the metabolic equivalent of task hours per week (MET-h/wk) [15]. Wealth score index (WSI) is estimated by multiple correspondence analysis of variables (own car, car type, the number of books the participant has read in the past year, the total number of international trips the participant has taken during lifetime, the number of international pilgrimage trips the participant has taken, the number of international non-pilgrimage trips the participant has taken and the number of trips the participant has made within Iran in the past 10 years).
Weight was measured using a digital scale (SECA, model 755, Germany) with minimum clothing and without shoes with an accuracy of 0.1 kg. Height was measured accurately without shoes by a tape measure attached to the wall without any bumps with a precision of 0.5 cm. Body Mass Index (BMI) (kg/m2) was calculated as the weight (kg) divided by height squared (m2). Mid-distance between the iliac crest and lowest rib was considered to measure waist circumference (WC). Blood pressure (BP) was measured twice by an experienced nurse using a digital automatic blood pressure monitor (Model M6 Comfort; Omron), with a 5-minute interval between readings.
Dietary intakes were assessed using a 121-item semi-quantitative food frequency questionnaire (FFQ), and the participants were asked about their dietary intakes over the past year. The study participants were interviewed by trained nutritionists. Two types of questions were asked from the participants about each food item: 1) the frequency of food consumption (number of times per month, week, or day the food was consumed) in the previous year, and 2) the amount of the food that was usually consumed every time (portion size based on the standard serving sizes commonly consumed by Iranians). All reported intakes were converted to g/day using household measures of consumed foods. Finally, the Nutritionist IV software was used to calculate nutrients intakes [16].
Information on dietary habits was obtained at the same time as blood samples were collected. Dietary habits including meal frequency (< 3 meals/day, 3 meals/day, 4–6 meals/day and > 6 meals/day), fried food consumption (< 1 time/month, 1–3 times/month, 1–3 times/week and daily), adding salt to prepared food (no, sometimes, yes), barbecued food consumption (< 1 time/month, 1–3 times/month and > 3 time/month), used oil type (solid oil, semi solid oil or margarine, liquid oil, frying oil), (none, once, more than twice) were assessed through a standard questionnaire during the past year.
After 10–12 hours of fasting, 25 ml of the patient’s blood sample was collected. Blood samples were centrifuged to separate serum. Serum fasting blood glucose (FBG), triglyceride (TG), and high-density lipoprotein cholesterol (HDL-c) were measured using an auto-analyzer (Analyzer BT1500) using Pars Azmun standard kits.
MetS was defined based on National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. According to the NCEP ATP III definition, metabolic syndrome is present if three or more of the following five criteria are met: waist circumference over 40 in. (men) or 35 in. (women), blood pressure equal to or greater than 130/85 mmHg, TG level equal to or greater than 150 mg/dl, HDL-c level less than 40 mg/dl (men) or 50 mg/dl (women) and FBG equal to or greater than 100 mg/dl [17].
The quantitative (age, physical activity, BMI, WC, FBG, and dietary intakes) and qualitative data (gender, cardiovascular or liver diseases presence) were compared across categories for dietary habits using one-way ANOVA and chi-square tests, respectively. Tukey test was applied as a post hoc analysis. To find the association between dietary habits and metabolic syndrome, we used logistic regression in different models. In model I, we adjusted only age and total energy intake; in model II, BMI, gender, smoking, and physical activity were additionally adjusted. Final adjustments were performed for the history of cardiovascular diseases and liver diseases. Data were analyzed using the Statistical Package for Social Sciences (SPSS, version 15.0). P values less than 0.05 were considered statistically significant.
The general characteristics of study participants across categories of dietary habits are reported in Table 1. The findings of Tukey’s analysis show that consumption of barbecued food and fried foods and also, adding salt to prepared meals was more common among young people. Furthermore, the WSI was significantly different among the categories of fried food consumption, barbecued food consumption, and used oil type. For example, people who used more barbecued foods and also used frying oil in food preparation had a higher WSI.
The distribution of MetS and its components are presented in Table 2. The results of Tukey’s analysis showed that TG levels were higher in people who consumed barbecue food more than 3 times a month compared to those who consumed it less than 1 a month, while HDL-C levels were significantly lower. In addition, significant differences were seen for SBP and WC among categories of adding salt to a prepared meal. Surprisingly, individuals who added salt to prepared food had significantly lower waist circumference and systolic blood pressure.
Dietary macronutrient and micronutrient intakes of study participants according to categories of dietary habits are shown in Tables 3 and 4, respectively. After Tukey Analysis, the individual in the last categories of meal frequency, fried food consumption, and adding salt to a prepared meal had significantly higher energy intake. There were significant differences in protein, fiber, vitamin A, folate, potassium, and sodium across categories of meal frequency. The individuals with daily consumption of fried food received lower amounts of protein, carbohydrate, and fiber. The intake of fat, folate, and potassium was higher in people who ate barbecued food more than 3 times/month than in other people, while the intake of carbohydrates and sodium was lower in them.
Multivariate-adjusted odds ratios of the associations between dietary habits and metabolic syndrome are presented in Table 5. Participants who ate barbecued food more than three times a month had a greater odds of MetS than those who ate barbecued food less than once a month (OR: 1.185, 95% CI: 1.015–1.383, P = 0.051). These associations remained significant after adjustment for for age, sex, energy, WSI and physical activity (OR: 1.200, 95% CI: 1.025–1.405, P = 0.028). Further adjustment for cardiovascular and liver diseases did not change the association. (OR: 1.190, 95% CI: 1.014–1.396, P = 0.034). No significant associations were observed between odds of MetS with other dietary habits such as meal frequency (OR: 1.296, 95% CI: 0.886–1.895, P = 0.85), fried food consumption (OR: 0.902, 95% CI: 0.708–1.150, P = 0.771), adding salt to prepared food (OR: 1.011, 95% CI: 0.865–1.180, P = 0.781), used oil type (OR: 1.096, 95% CI: 0.932–1.288, P = 0.268), and reuse oil number (OR: 1.051, 95% CI: 0.761–1.451, P = 0.764) in model I, II and III.
In the present cross-sectional study we found that the greater consumption of barbecued-food was positively associated with greater odds of MetS among Iranian adults. However, there was no significant association between meal frequency, fried food consumption, used oil type, reuse of oil number, and adding salt to prepared food with MetS.
Our findings showed that the consumption of barbecued-food increased the odds of MetS. The studies investigating the association between barbecued-food consumption with MetS and each of its components are scarce. In a study that conducted by Liu et al. [18], higher consumption of barbecued-red meat increased the risk of type 2 diabetes by 1.23 times. It has been found that chemicals produced by cooking meat at high temperatures (grilling/barbecuing) can induce inflammation, oxidative stress, and insulin resistance, and consequently lead to damage of the inner vascular wall and development of atherosclerosis. All of these processes increase the risk of developing high blood pressure and the likelihood of MetS [19]. In contrast, Heller et al. [20] examined the effect of daily consumption of 8 oz. of barbecued-hamburgers and 6 oz. of barbecued-steak on lipid profile of adults. The results of this study showed that daily consumption of barbecued-meat for 15 days increased HDL-c and decreased total cholesterol and low density lipoprotein-cholesterol (LDL-c). However, the short duration of the study, failure to adjust potential confounders, and the small number of participants were major limitations that can not be relied on the results of this study. Some hazardous chemicals such as heterocyclic aromatic amines (HAAs) and polycyclic aromatic hydrocarbons (PAHs) are produced in foods prepared at high temperatures (barbecuing/grilling) [21,22,23]. These chemicals can induce pro-inflammatory cytokines, decrease insulin secretion, and consequently increase the risk of diabetes and metabolic syndrome [24, 25]. In addition, cooking meat at high temperatures produces advanced glycation end products (AGEs) that are associated with oxidative stress, inflammation, and insulin resistance in animals and humans, which in turn provide the basis for metabolic disorders [26, 27]. More investigations are needed to clarify the mechanistic pathways linking high-temperature cooking with metabolic syndrome.
We found no association between adding salt to prepared food and MetS. In contrast, a study that conducted by Sarebanhassanabadi et al. [10] showed that eating salt with food increases the risk of MetS. Other studies have also reported an association between sodium intake/excretion with food and MetS and its components [28, 29]. A possible reason for this discrepancy is the differences in methods of evaluating salt intake. Baudrand et al. [28, 29] and Oh et al. [28, 29] used urinary sodium (that has higher accuracy compared to the FFQ) to estimate the sodium intake. In addition, differences in design of the study, sample size and mean age of participants are other possible reasons for this discrepancy. The studies investigating the association between fried food consumption and risk of MetS are scarce. Similar to our findings, Sayon-Orea et al. [30] showed no significant association between fried food consumption with prevalence of MetS. However, some studies have reported that eating fried foods increases the insulin resistance and risk type 2 diabetes [31, 32]. The studies with contradictory results [31, 32] did not investigate the association between fried foods intake with incidence or odds of MetS and had different hypotheses, objectives and study design.
The present cross-sectional study has some strengths and limitations that should be considered. First, the present study comprised a large sample size that reduces the bias in interpreting the results. Second, in data analysis, we used different adjustment models to adjust potential confounding factors such as age and gender. However, in the design of cross-sectional, it is not possible to measure causal relationships. In addition, because FFQ is a memory-based dietary assessment method, it may cause some errors in reporting precise intakes.
In conclusion, the present study demonstrated a direct association between barbecued food consumption with the odds of MetS. On the other hand, we did not find any significant relationship between meal frequency, fried food consumption, adding salt to prepared food, used oil type, and reuse oil number with odds of MetS. To confirm these relationships, further investigations especially prospective cohort studies are needed.
The data and materials of the current study is available from the corresponding author on reasonable request.
Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365(9468):1415–28.
Article CAS Google Scholar
Bagherniya M, Khayyatzadeh SS, Avan A, Safarian M, Nematy M, Ferns GA, et al. Metabolic syndrome and its components are related to psychological disorders: a population based study. Diabetes Metab Syndrome. 2017;11(Suppl 2):S561–s6.
Article Google Scholar
Nolan PB, Carrick-Ranson G, Stinear JW, Reading SA, Dalleck LC. Prevalence of metabolic syndrome and metabolic syndrome components in young adults: a pooled analysis. Prev Med Rep. 2017;7:211–5.
Article Google Scholar
Farmanfarma KK, Kaykhaei MA, Adineh HA, Mohammadi M, Dabiri S, Ansari-Moghaddam A. Prevalence of metabolic syndrome in Iran: a meta-analysis of 69 studies. Diabetes Metab Syndr. 2019;13(1):792–9.
Article Google Scholar
Scholze J, Alegria E, Ferri C, Langham S, Stevens W, Jeffries D, et al. Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model. BMC Public Health. 2010;10(1):1–12.
Article Google Scholar
Saboya PP, Bodanese LC, Zimmermann PR, Gustavo AS, Assumpção CM, Londero F. Metabolic syndrome and quality of life: a systematic review. Rev Latin Am Enfermagem. 2016:24.
McCracken E, Monaghan M, Sreenivasan S. Pathophysiology of the metabolic syndrome. Clin Dermatol. 2018;36(1):14–20.
Article Google Scholar
Yoshida J, Eguchi E, Nagaoka K, Ito T, Ogino K. Association of night eating habits with metabolic syndrome and its components: a longitudinal study. BMC Public Health. 2018;18(1):1–12.
Article Google Scholar
Shin A, Lim SY, Sung J, Shin HR, Kim J. Dietary intake, eating habits, and metabolic syndrome in Korean men. J Am Diet Assoc. 2009;109(4):633–40.
Article Google Scholar
Sarebanhassanabadi M, Mirhosseini SJ, Mirzaei M, Namayandeh SM, Soltani MH, Pakseresht M, et al. Effect of dietary habits on the risk of metabolic syndrome: Yazd healthy heart project. Public Health Nutr. 2018;21(6):1139–46.
Article Google Scholar
Lutsey PL, Steffen LM, Stevens J. Dietary intake and the development of the metabolic syndrome. Circulation. 2008;117(6):754–61.
Article Google Scholar
Lorzadeh E, Sangsefidi ZS, Mirzaei M, Hosseinzadeh M. Dietary habits and their association with metabolic syndrome in a sample of Iranian adults: a population-based study. Food Sci Nutr. 2020;8(11):6217–25.
Article Google Scholar
Eghtesad S, Mohammadi Z, Shayanrad A, Faramarzi E, Joukar F, Hamzeh B, et al. The PERSIAN cohort: providing the evidence needed for healthcare reform. Arch Iran Med. 2017;20(11):691–5.
PubMed Google Scholar
Poustchi H, Eghtesad S, Kamangar F, Etemadi A, Keshtkar A-A, Hekmatdoost A, et al. Prospective epidemiological research studies in Iran (the PERSIAN cohort study): rationale, objectives, and design. Am J Epidemiol. 2018;187(4):647–55.
Article Google Scholar
Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(9 Suppl):S498–504.
Article CAS Google Scholar
Bodner-Montville J, Ahuja JK, Ingwersen LA, Haggerty ES, Enns CW, Perloff BP. USDA food and nutrient database for dietary studies: released on the web. J Food Compos Anal. 2006;19:S100–S7.
Article Google Scholar
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, 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):2735–52.
Article Google Scholar
Liu G, Zong G, Hu FB, Willett WC, Eisenberg DM, Sun Q. Cooking methods for red meats and risk of type 2 diabetes: a prospective study of U.S. Women. Diabetes care. 2017;40(8):1041–9.
Article CAS Google Scholar
Moreno-Franco B, Rodríguez-Ayala M, Donat-Vargas C, Sandoval-Insausti H, Rey-García J, Lopez-Garcia E, Guallar-Castillón P. Association of cooking patterns with inflammatory and cardio-metabolic risk biomarkers. Nutrients. 2021;13(2):633.
Heller RF, Hartley RM, Lewis B. The effect on blood lipids of eating charcoal-grilled meat. Atherosclerosis. 1983;48(2):185–92.
Article CAS Google Scholar
Anderson KE, Sinha R, Kulldorff M, Gross M, Lang NP, Barber C, et al. Meat intake and cooking techniques: associations with pancreatic cancer. Mutat Res. 2002;506-507:225–31.
Article CAS Google Scholar
Lee JG, Kim SY, Moon JS, Kim SH, Kang DH, Yoon HJ. Effects of grilling procedures on levels of polycyclic aromatic hydrocarbons in grilled meats. Food Chem. 2016;199:632–8.
Article CAS Google Scholar
Friesen MD, Rothman N, Strickland PT. Concentration of 2-amino-1-methyl-6-phenylimidazo(4,5-b) pyridine (PhIP) in urine and alkali-hydrolyzed urine after consumption of charbroiled beef. Cancer Lett. 2001;173(1):43–51.
Article CAS Google Scholar
Khalil A, Villard PH, Dao MA, Burcelin R, Champion S, Fouchier F, et al. Polycyclic aromatic hydrocarbons potentiate high-fat diet effects on intestinal inflammation. Toxicol Lett. 2010;196(3):161–7.
Article CAS Google Scholar
Pei XH, Nakanishi Y, Inoue H, Takayama K, Bai F, Hara N. Polycyclic aromatic hydrocarbons induce IL-8 expression through nuclear factor kappaB activation in A549 cell line. Cytokine. 2002;19(5):236–41.
Article CAS Google Scholar
Vlassara H, Cai W, Tripp E, Pyzik R, Yee K, Goldberg L, et al. Oral AGE restriction ameliorates insulin resistance in obese individuals with the metabolic syndrome: a randomised controlled trial. Diabetologia. 2016;59(10):2181–92.
Article CAS Google Scholar
Vlassara H, Striker GE. AGE restriction in diabetes mellitus: a paradigm shift. Nat Rev Endocrinol. 2011;7(9):526–39.
Article CAS Google Scholar
Baudrand R, Campino C, Carvajal C, Olivieri O, Guidi G, Faccini G, et al. High sodium intake is associated with increased glucocorticoid production, insulin resistance and metabolic syndrome. Clin Endocrinol. 2014;80(5):677–84.
Article CAS Google Scholar
Oh SW, Han KH, Han SY, Koo HS, Kim S, Chin HJ. Association of sodium excretion with metabolic syndrome, insulin resistance, and body fat. Medicine. 2015;94(39).
Sayon-Orea C, Martinez-Gonzalez M, Gea A, Flores-Gomez E, Basterra-Gortari F, Bes-Rastrollo M. Consumption of fried foods and risk of metabolic syndrome: the SUN cohort study. Clin Nutr. 2014;33(3):545–9.
Article CAS Google Scholar
Grundy SM, Abate N, Chandalia M. Diet composition and the metabolic syndrome: what is the optimal fat intake? Am J Med. 2002;113(9):25–9.
Article Google Scholar
Cahill LE, Pan A, Chiuve SE, Sun Q, Willett WC, Hu FB, et al. Fried-food consumption and risk of type 2 diabetes and coronary artery disease: a prospective study in 2 cohorts of US women and men. Am J Clin Nutr. 2014;100(2):667–75.
Article CAS Google Scholar
Download references
We acknowledge the contribution of the co-researchers. We also thank the participants for their cooperation throughout recruitment and data collection processes.
The present study was supported by a grant provided by Shahid Sadoughi University of Medical Sciences.
Zahra Fallah and Mina Darand contributed equally to this work.
Nutrition and Food Security Research Center, Shahid Sadoughi University of Medical Sciences, Shohadaye gomnam BLD. ALEM square, Yazd, Iran
Zahra Fallah, Amin Salehi-Abargouei & Sayyed Saeid Khayyatzadeh
Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Zahra Fallah, Amin Salehi-Abargouei & Sayyed Saeid Khayyatzadeh
Department of Clinical Nutrition, School of Nutrition and Food Science, Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
Mina Darand
Yazd Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
Masoud Mirzaei
Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex, UK
Gordon A. Ferns
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
S.Kh and M.M: designed and conducted the study; Z. F and M.D.: wrote the manuscript. M. M and A.S.A: critically revised the manuscript; S.Kh: supervised the study. A.S.A: involved in study analysis. The final version of the manuscript was approved by all authors.
Correspondence to Sayyed Saeid Khayyatzadeh.
All methods of this study were carried out under the Declaration of Helsinki’s ethical principle for medical research involving human subjects. Ethical approval to conduct this study was obtained from the ethical committee of Shahid Sadoughi University of Medical Science (IR.SSU.SPH.REC.1399.046). Written informed consent was obtained from all participants before the data collection.
Not applicable.
The authors have declared no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Reprints and Permissions
Fallah, Z., Darand, M., Salehi-Abargouei, A. et al. The association between dietary habits and metabolic syndrome: findings from the Shahedieh-cohort study. BMC Nutr 8, 117 (2022). https://doi.org/10.1186/s40795-022-00609-5
Download citation
Received: 04 May 2021
Accepted: 29 September 2022
Published: 23 October 2022
DOI: https://doi.org/10.1186/s40795-022-00609-5
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Advertisement
ISSN: 2055-0928
By using this website, you agree to our Terms and Conditions, California Privacy Statement, Privacy statement and Cookies policy. Manage cookies/Do not sell my data we use in the preference centre.
© 2022 BioMed Central Ltd unless otherwise stated. Part of Springer Nature.