• WHO | Overweight and obesity [Internet]. 2014 [cited 2023 June 15]. Available from: https://www.who.int/gho/ncd/risk_factors/overweight/en/

  • Ahmad SR Plant-based diet for obesity treatment. Frontiers in Nutrition [Internet]. 2022 [cited 2023 Feb 22];9. Available from: https://www.frontiersin.org/articles/10.3389/fnut.2022.952553

  • Eichelmann F, Schwingshackl L, Fedirko V, Aleksandrova K. Effect of plant-based diets on obesity-related inflammatory profiles: a systematic review and meta-analysis of intervention trials. Obes Rev. 2016;17:1067–79.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Manach C, Williamson G, Morand C, Scalbert A, Rémésy C. Bioavailability and bioefficacy of polyphenols in humans. I. Review of 97 bioavailability studies. Am J Clin Nutr. 2005;81:230S–242S.

  • Bertoia ML, Rimm EB, Mukamal KJ, Hu FB, Willett WC, Cassidy A. Dietary flavonoid intake and weight maintenance: three prospective cohorts of 124,086 US men and women followed for up to 24 years. BMJ (Online) [Internet]. 2016 Jan 28 [cited 2021 Sept 7];352. Available from: https://pubmed.ncbi.nlm.nih.gov/26823518/

  • Marranzano M, Ray S, Godos J, Galvano F. Association between dietary flavonoids intake and obesity in a cohort of adults living in the Mediterranean area. Int J Food Sci Nutr. 2018;69:1020–9.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Castañeda J, Gil-Lespinard M, Almanza-Aguilera E, Llaha F, Gómez JH, Bondonno N, et al. Association between classes and subclasses of polyphenol intake and 5-year body weight changes in the EPIC-PANACEA study. Obesity (Silver Spring). 2023;31:1146–58.

    Article 
    PubMed 

    Google Scholar
     

  • Wu CH, Lu FH, Chang CS, Chang TC, Wang RH, Chang CJ. Relationship among habitual tea consumption, percent body fat, and body fat distribution. Obes Res. 2003;11:1088–95.

    Article 
    PubMed 

    Google Scholar
     

  • Wang Y, Lloyd B, Yang M, Davis CG, Lee SG, Lee W, et al. Impact of orange juice consumption on macronutrient and energy intakes and body composition in the US population. Public Health Nutr. 2012;15:2220–7.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mahboob A, Samuel SM, Mohamed A, Wani MY, Ghorbel S, Miled N, et al. Role of flavonoids in controlling obesity: molecular targets and mechanisms. Front Nutr. 2023;10:1177897.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Akhlaghi M, Ghobadi S, Hosseini MM, Gholami Z, Mohammadian F. Flavanols are potential anti-obesity agents, a systematic review and meta-analysis of controlled clinical trials. Nutr, Metab Cardiovasc Dis. 2018;28:675–90.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Fox CS, Massaro JM, Hoffmann U, Pou KM, Maurovich-Horvat P, Liu CY, et al. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116:39–48.

    Article 
    PubMed 

    Google Scholar
     

  • Rolfe EDL, Loos RJF, Druet C, Stolk RP, Ekelund U, Griffin SJ, et al. Association between birth weight and visceral fat in adults. Am J Clin Nutr. 2010;92:347–52.

    Article 
    PubMed 

    Google Scholar
     

  • Bingham SA, Welch AA, McTaggart A, Mulligan AA, Runswick SA, Luben R, et al. Nutritional methods in the European Prospective Investigation of Cancer in Norfolk. Public Health Nutr. 2001;4:847–58.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Lentjes MAH, McTaggart A, Mulligan AA, Powell NA, Parry-Smith D, Luben RN, et al. Dietary intake measurement using 7 d diet diaries in British men and women in the European Prospective Investigation into Cancer-Norfolk study: a focus on methodological issues. Br J Nutr. 2014;111:516–26.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Welch AA, Luben R, Khaw KT, Bingham SA. The CAFE computer program for nutritional analysis of the EPIC-Norfolk food frequency questionnaire and identification of extreme nutrient values. J Hum Nutr Diet. 2005;18:99–116.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Slimani N, Deharveng G, Unwin I, Southgate DAT, Vignat J, Skeie G, et al. The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr. 2007;61:1037–56.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Zamora-Ros R, Knaze V, Luján-Barroso L, Romieu I, Scalbert A, Slimani N, et al. Differences in dietary intakes, food sources and determinants of total flavonoids between Mediterranean and non-Mediterranean countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Br J Nutr. 2013;109:1498–507.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bhagwat S, Haytowitz DB, Holden JM. USDA Database for the Isoflavone Content of Selected Foods, Release 2.0. [Internet]. 2008. https://www.ars.usda.gov/nutrientdata/isoflav Available from

  • Bhagwat S, Haytowitz DB, Holden JM U.S. Department of Agriculture, Agricultural Research Service. 2011. USDA Database for the Flavonoid Content of Selected Foods, Release 3.0. [Internet]. U.S. Department of Agriculture, Agricultural Research Service. Nutrient Data Laboratory; 2011. Available from: http://www.ars.usda.gov/nutrientdata/flav

  • USDA Database for the Proanthocyanidin Content of Selected Foods [Internet]. Nutrient Data Laboratory and Food Composition Laboratory, USDA-ARS; The Arkansas Children’s Nutrition Center, USDA-ARS; Mars, Inc.; and Ocean Spray Cranberries, Inc.; 2004. Available from: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/methods-and-application-of-food-composition-laboratory/mafcl-site-pages/proanthocyanidin/

  • Krakauer NY, Krakauer JC. A new body shape index predicts mortality hazard independently of body mass index. PLoS One. 2012;7:e39504.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brage S, Ekelund U, Brage N, Hennings MA, Froberg K, Franks PW, et al. Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity. J Appl Physiol. 2007;103:682–92.

    Article 
    PubMed 

    Google Scholar
     

  • Møller SF, Bro R, J von F. Robust methods for multivariate data analysis. J Chemometrics. 2006;19:549–63.

    Article 

    Google Scholar
     

  • Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodol). 1995;57:289–300.

    Article 

    Google Scholar
     

  • Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364:2392–404.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Cohen AK, Rai M, Rehkopf DH, Abrams B. Educational attainment and obesity: a systematic review. Obes Rev. 2013;14:989–1005.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Slavin JL. Dietary fiber and body weight. Nutrition. 2005;21:411–8.

    Article 
    PubMed 

    Google Scholar
     

  • Kirby JB, Liang L, Chen HJ, Wang Y. Race, place, and obesity: the complex relationships among community racial/ethnic composition, individual race/ethnicity, and obesity in the United States. Am J Public Health. 2012;102:1572–8.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kim TJ, Von Dem Knesebeck O. Income and obesity: what is the direction of the relationship? A systematic review and meta-analysis. BMJ Open. 2018;8:e019862.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Schlesinger S, Neuenschwander M, Schwedhelm C, Hoffmann G, Bechthold A, Boeing H, et al. Food groups and risk of overweight, obesity, and weight gain: a systematic review and dose-response meta-analysis of prospective studies. Adv Nutr. 2019;10:205–18.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997;65:1220S–1228S.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Trichia E, Imamura F, Brage S, De Lucia Rolfe E, Griffin SJ, Wareham NJ, et al. Associations of types of dairy consumption with adiposity: cross-sectional findings from over 12,000 adults in the Fenland Study, UK. Br J Nutr. 2019;122:928–35.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mendez MA, Popkin BM, Buckland G, Schroder H, Amiano P, Barricarte A, et al. Alternative methods of accounting for underreporting and overreporting when measuring dietary intake-obesity relations. Am J Epidemiol. 2011;173:448–58.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Brookhart M, Stürmer T, Glynn R, Rassen J, Schneeweiss S. Confounding control in healthcare database research: challenges and potential approaches. Med Care. 2010;48:S114–20.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Graff-Iversen S, Hewitt S, Forsén L, Grøtvedt L, Ariansen I. Associations of tobacco smoking with body mass distribution; a population-based study of 65,875 men and women in midlife. BMC Public Health. 2019;19:1439.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Marshall SW. Power for tests of interaction: effect of raising the Type I error rate. Epidemiol Perspect Innov. 2007;4:4.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ [Internet]. 2025. Available from: https://www.R-project.org/

  • Gil-Lespinard M, Castañeda J, Almanza-Aguilera E, Gómez JH, Tjønneland A, Kyrø C, et al. Dietary intake of 91 individual polyphenols and 5-year body weight change in the EPIC-PANACEA cohort. Antioxidants. 2022;11:2425.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kim SA, Kim J, Jun S, Wie GA, Shin S, Joung H. Association between dietary flavonoid intake and obesity among adults in Korea. Appl Physiol Nutr Metab. 2020;45:203–12.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Jennings A, MacGregor A, Spector T, Cassidy A.Higher dietary flavonoid intakes are associated with lower objectively measured body composition in women: evidence from discordant monozygotic twins.Am J Clin Nutr.2017;105:626–34.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Zu S, Yang M, Li X, Wu H, Li X, Fan Y, et al. Flavonoids intake and weight-adjusted waist index: insights from a cross-sectional study of NHANES. Front Nutr. 2024;11:1400726.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Aizawa T, Yamamoto A, Ueno T. Effect of oral theaflavin administration on body weight, fat, and muscle in healthy subjects: a randomized pilot study. Biosci, Biotechnol, Biochem. 2017;81:311–5.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Akhlaghi M, Ghobadi S, Mohammad Hosseini M, Gholami Z, Mohammadian F. Flavanols are potential anti-obesity agents, a systematic review and meta-analysis of controlled clinical trials. Nutrition, metabolism, and cardiovascular diseases. NMCD. 2018;28:675–90.

    CAS 
    PubMed 

    Google Scholar
     

  • Vogiatzoglou A, Mulligan AA, Lentjes MAH, Luben RN, Spencer JPE, Schroeter H, et al. Flavonoid intake in European adults (18 to 64 years). PLoS One. 2015;10:e0128132.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Knaze V, Zamora-Ros R, Luján-Barroso L, Romieu I, Scalbert A, Slimani N, et al. Intake estimation of total and individual flavan-3-ols, proanthocyanidins and theaflavins, their food sources and determinants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Br J Nutr. 2012;108:1095–108.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pagidipati NJ, Taub PR, Ostfeld RJ, Kirkpatrick CF. Dietary patterns to promote cardiometabolic health. Nat Rev Cardiol. 2025;22:38–46.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Pereira PF, Serrano HMS, Carvalho GQ, Ribeiro SMR, Peluzio M, do CG, et al. Measurements of body fat distribution: assessment of collinearity with body mass, adiposity and height in female adolescents. Rev Paul Pediatr. 2015;33:63–71.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Gierach M, Gierach J, Ewertowska M, Arndt A, Junik R. Correlation between body mass index and waist circumference in patients with metabolic syndrome. ISRN Endocrinol. 2014;2014:514589.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Akhlaghi M, Zare M, Nouripour F. Effect of soy and soy isoflavones on obesity-related anthropometric measures: a systematic review and meta-analysis of randomized controlled clinical trials. Adv Nutr. 2017;8:705–17.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mu Y, Kou T, Wei B, Lu X, Liu J, Tian H, et al. Soy products ameliorate obesity-related anthropometric indicators in overweight or obese asian and non-menopausal women: a meta-analysis of randomized controlled trials. Nutrients. 2019;11:2790.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Mulligan AA, Kuhnle GGC, Lentjes MAH, van Scheltinga V, Powell NA, McTaggart A, et al. Intakes and sources of isoflavones, lignans, enterolignans, coumestrol and soya-containing foods in the Norfolk arm of the European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk), from 7 d food diaries, using a newly updated database. Public Health Nutr. 2013;16:1454–62.

    Article 
    PubMed 

    Google Scholar
     

  • Gherasim A, Arhire LI, Niță O, Popa AD, Graur M, Mihalache L. The relationship between lifestyle components and dietary patterns. Proc Nutr Soc. 2020;79:311–23.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Oliveira AKS, de Oliveira E Silva AM, Pereira RO, Santos AS, Barbosa Junior EV, Bezerra MT, et al. Anti-obesity properties and mechanism of action of flavonoids: a review. Crit Rev Food Sci Nutr. 2022;62:7827–48.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Tomova GD, Arnold KF, Gilthorpe MS, Tennant PWG. Adjustment for energy intake in nutritional research: a causal inference perspective. Am J Clin Nutr. 2021;115:189–98.

    Article 

    Google Scholar
     

  • Xiong HH, Lin SY, Chen LL, Ouyang KH, Wang WJ. The interaction between flavonoids and intestinal microbes: a review. Foods. 2023;12:320.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Kapoor P, Tiwari A, Sharma S, Tiwari V, Sheoran B, Ali U, et al. Effect of anthocyanins on gut health markers, Firmicutes-Bacteroidetes ratio and short-chain fatty acids: a systematic review via meta-analysis. Sci Rep. 2023;13:1729.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jennings A, Koch M, Jensen MK, Bang C, Kassubek J, Müller HP, et al. The role of the gut microbiome in the association between habitual anthocyanin intake and visceral abdominal fat in population-level analysis. Am J Clin Nutr. 2020;111:340–50.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Makarem N, Mossavar-Rahmani Y, Sotres-Alvarez D, Hua S, Wong WW, Van Horn L, et al. The relation between polyphenols and body composition in US Hispanics/Latinos: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Study of Latinos Nutrition And Physical Activity Assessment Study (SOLNAS). Current Developments in Nutrition [Internet]. 2017 Nov 1 [cited 2022 Apr 25]; 1. Available from: https://pubmed.ncbi.nlm.nih.gov/29955684/

  • Aali Y, Ebrahimi S, Shiraseb F, Mirzaei K. The association between dietary polyphenol intake and cardiometabolic factors in overweight and obese women: a cross-sectional study. BMC Endocr Disord. 2022;22:120.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Alshahrani SH, Al-Attar Z, Daabo HMA, Alshahrani NZ, Al-Shawi SG, Núñez EFD, et al. Dietary polyphenol intake, body composition and components of metabolic syndrome in a sample overweight and obese adults: a cross-sectional study. BMC Endocr Disord. 2023;23:261.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Jayedi A, Soltani S, Zargar MS, Khan TA, Shab-Bidar S. Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies. BMJ. 2020;370:m3324.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Arija V, Abellana R, Ribot B, Ramon J. Biases and adjustments in nutritional assessments from dietary questionnaires. Nutr Hospitalaria. 2015;31:113–8.


    Google Scholar
     

  • Beking K, Vieira A. An assessment of dietary flavonoid intake in the UK and Ireland. Int J Food Sci Nutr. 2011;62:17–9.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Imamura F, Micha R, Khatibzadeh S, Fahimi S, Shi P, Powles J, et al. Dietary quality among men and women in 187 countries in 1990 and 2010: a systematic assessment. Lancet Glob Health. 2015;3:e132–142.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar