Evaluating the Association Between the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) Diet, Mental Health, and Cardio-metabolic Risk Factors Among Individuals with Obesity

Overview

Journal BMC Endocr Disord

Publisher Biomed Central

Specialty Endocrinology

Date 2023 Feb 2

PMID 36726099

Authors

Abnoos Mokhtari Ardekani

Sahar Vahdat

Ali Hojati

Hadi Moradi

Ayda Zahiri Tousi

Farnoosh Ebrahimzadeh

Mahdieh Abbasalizad Farhangi

Affiliations

Soon will be listed here.

Abstract

Background: Several previous investigations have examined the brain-protective role of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet. However, more knowledge is needed about the MIND diet's other favorable impacts. The purpose of this study was to examine the relationship between the MIND diet, mental health, and metabolic markers in individuals with obesity.

Methods: In this cross-sectional study, we included 339 individuals with obesity (BMI ≥ 30 kg/m) aged 20-50 years. We utilized a semi-quantitative Food Frequency Questionnaire (FFQ), we assessed dietary intake, including 168 food items, and calculated the value of MIND. Metabolic syndrome (MetS) was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) guidelines. We assessed biochemical parameters using Enzymatic methods. Blood pressure and body composition were also determined.

Results: Higher tertiles of the MIND diet score were associated with significantly higher energy intake, macronutrients, and brain-healthy food intakes (P < 0.001). Among the brain-unhealthy foods, only the intake of sweets and pastries was significantly lower in the highest versus lowest MIND tertiles. We also observed lower odds of stress (P < 0.05) and higher insulin sensitivity (P < 0.05) in the highest versus lowest MIND diet tertiles. We witnessed no significant changes in other parameters.

Conclusion: Lower stress levels and higher insulin sensitivity independent of some confounders like age, BMI, sex, and physical activity were associated with the highest tertile of MIND diet score.

Citing Articles

The effect of MIND diet on sleep status, mental health, and serum level of BDNF in overweight/obese diabetic women with insomnia: a randomized controlled trial.

Golmohammadi M, Attari V, Salimi Y, Saed L, Nachvak S, Samadi M Sci Rep. 2025; 15(1):8237.

PMID: 40065021 PMC: 11893750. DOI: 10.1038/s41598-025-91389-y.

Comparison of diet quality indices for predicting metabolic syndrome in Iran: cross-sectional findings from the persian cohort study.

Pashaei K, Namkhah Z, Sobhani S Diabetol Metab Syndr. 2024; 16(1):253.

PMID: 39465430 PMC: 11514588. DOI: 10.1186/s13098-024-01490-x.

Nourishing the mind: how the EAT-Lancet reference diet (ELD) and MIND diet impact stress, anxiety, and depression.

Kamrani F, Kachouei A, Sobhani S, Khosravi M BMC Psychiatry. 2024; 24(1):709.

PMID: 39427151 PMC: 11490120. DOI: 10.1186/s12888-024-06165-5.

The effect of MIND diet on sleep status, anxiety, depression, and cardiometabolic indices in obese diabetic women with insomnia: study protocol for a randomized controlled clinical trial {1}.

Golmohammadi M, Attari V, Salimi Y, Nachvak S, Samadi M Trials. 2024; 25(1):660.

PMID: 39370509 PMC: 11457347. DOI: 10.1186/s13063-024-08486-y.

Dietary and Lifestyle Insulinemic Potential Indices and Risk Factors of Metabolic Syndrome Among Overweight and Obese Individuals: A Cross-Sectional Study.

Hojati A, Farhangi M Nutr Metab Insights. 2024; 17:11786388241273670.

PMID: 39290999 PMC: 11406494. DOI: 10.1177/11786388241273670.

References

Rottapel R, Hudson L, Folta S . Cardiovascular Health and African-American Women: A Qualitative Analysis. Am J Health Behav. 2021; 45(4):735-745. DOI: 10.5993/AJHB.45.4.12. View

Mirmiran P, Hosseini Esfahani F, Mehrabi Y, Hedayati M, Azizi F . Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2009; 13(5):654-62. DOI: 10.1017/S1368980009991698. View

Degano I, Marrugat J, Grau M, Salvador-Gonzalez B, Ramos R, Zamora A . The association between education and cardiovascular disease incidence is mediated by hypertension, diabetes, and body mass index. Sci Rep. 2017; 7(1):12370. PMC: 5620039. DOI: 10.1038/s41598-017-10775-3. View

Szapary P, Bloedon L, Samaha F, Duffy D, Wolfe M, Soffer D . Effects of pioglitazone on lipoproteins, inflammatory markers, and adipokines in nondiabetic patients with metabolic syndrome. Arterioscler Thromb Vasc Biol. 2005; 26(1):182-8. DOI: 10.1161/01.ATV.0000195790.24531.4f. View

Wang S, Li B, Ungvari G, Ng C, Chiu H, Kou C . Poor mental health status and its associations with demographic characteristics and chronic diseases in Chinese elderly. Soc Psychiatry Psychiatr Epidemiol. 2016; 51(10):1449-1455. DOI: 10.1007/s00127-016-1271-y. View

Backus R, Wara A . Development of Obesity: Mechanisms and Physiology. Vet Clin North Am Small Anim Pract. 2016; 46(5):773-84. DOI: 10.1016/j.cvsm.2016.04.002. View

Hill J, Faulkner L . The Role of the Melanocortin System in Metabolic Disease: New Developments and Advances. Neuroendocrinology. 2016; 104(4):330-346. PMC: 5724371. DOI: 10.1159/000450649. View

Zalesin K, Franklin B, Miller W, Peterson E, McCullough P . Impact of obesity on cardiovascular disease. Endocrinol Metab Clin North Am. 2008; 37(3):663-84, ix. DOI: 10.1016/j.ecl.2008.06.004. View

Yan C, He Y, Xu Y, Shu G, Wang C, Yang Y . Apolipoprotein A-IV Inhibits AgRP/NPY Neurons and Activates Pro-Opiomelanocortin Neurons in the Arcuate Nucleus. Neuroendocrinology. 2015; 103(5):476-488. PMC: 4767704. DOI: 10.1159/000439436. View

10.

Farhangi M, Vajdi M, Nikniaz L, Nikniaz Z . The interaction between dietary inflammatory index and 6 P21 rs2010963 gene variants in metabolic syndrome. Eat Weight Disord. 2019; 25(4):1049-1060. DOI: 10.1007/s40519-019-00729-1. View

11.

Tiong X, Nursara Shahirah A, Pun V, Wong K, Fong A, Sy R . The association of the dietary approach to stop hypertension (DASH) diet with blood pressure, glucose and lipid profiles in Malaysian and Philippines populations. Nutr Metab Cardiovasc Dis. 2018; 28(8):856-863. DOI: 10.1016/j.numecd.2018.04.014. View

12.

Song Y, Park M, Paik H, Joung H . Secular trends in dietary patterns and obesity-related risk factors in Korean adolescents aged 10-19 years. Int J Obes (Lond). 2009; 34(1):48-56. DOI: 10.1038/ijo.2009.203. View

13.

Popkin B . The nutrition transition and obesity in the developing world. J Nutr. 2001; 131(3):871S-873S. DOI: 10.1093/jn/131.3.871S. View

14.

Yazdi-Feyzabadi V, Mehrolhassani M, Zolala F, Haghdoost A, Oroomiei N . Determinants of risky sexual practice, drug abuse and alcohol consumption in adolescents in Iran: a systematic literature review. Reprod Health. 2019; 16(1):115. PMC: 6657032. DOI: 10.1186/s12978-019-0779-5. View

15.

Bedard A, Riverin M, Dodin S, Corneau L, Lemieux S . Sex differences in the impact of the Mediterranean diet on cardiovascular risk profile. Br J Nutr. 2012; 108(8):1428-34. DOI: 10.1017/S0007114511006969. View

16.

Van Gaal L, Mertens I, De Block C . Mechanisms linking obesity with cardiovascular disease. Nature. 2006; 444(7121):875-80. DOI: 10.1038/nature05487. View

17.

Farhadnejad H, Darand M, Teymoori F, Asghari G, Mirmiran P, Azizi F . The association of Dietary Approach to Stop Hypertension (DASH) diet with metabolic healthy and metabolic unhealthy obesity phenotypes. Sci Rep. 2019; 9(1):18690. PMC: 6904686. DOI: 10.1038/s41598-019-55285-6. View

18.

Khodarahmi M, Asghari-Jafarabadi M, Farhangi M . A structural equation modeling approach for the association of a healthy eating index with metabolic syndrome and cardio-metabolic risk factors among obese individuals. PLoS One. 2019; 14(7):e0219193. PMC: 6602284. DOI: 10.1371/journal.pone.0219193. View

19.

Katsuki A, Sumida Y, Murashima S, Furuta M, Tsuchihashi K, Hori Y . Elevated plasma levels of alpha-melanocyte stimulating hormone (alpha-MSH) are correlated with insulin resistance in obese men. Int J Obes Relat Metab Disord. 2000; 24(10):1260-4. DOI: 10.1038/sj.ijo.0801400. View

20.

Hao Z, Wang M, Zhu Q, Li J, Liu Z, Yuan L . Association Between Socioeconomic Status and Prevalence of Cardio-Metabolic Risk Factors: A Cross-Sectional Study on Residents in North China. Front Cardiovasc Med. 2022; 9:698895. PMC: 8940519. DOI: 10.3389/fcvm.2022.698895. View