Keywords
metabolic syndrome
systematic review
biomarkers
Categories
How to Cite
Abstract
Objective To synthesize epidemiological evidence for a systematic review on the association between coffee consumption and Metabolic Syndrome (MetS)-related biomarkers, as defined by the used diagnostic framework(s), in human adult populations. This study proposes future directions for MetS-related biomarkers and coffee consumption. Methods A comprehensive search was conducted in PubMed, supplemented by manual searching, using predefined inclusion and exclusion criteria (n = 343). 13 observational studies were included in the final review. Extracted eligible studies were analyzed for adjustments, diagnostic frameworks, outcomes, and measurements. All included studies were assessed for bias using the Risk Of Bias In Non-randomized Studies – of Interventions, Version 2 (ROBINS-I V2) tool. Results Though considerable heterogeneity and modification were observed with the diagnostic framework, a majority implemented the criteria set by the National Cholesterol Education Program's Adult Treatment Panel III (NCEP ATP-III) or the International Diabetes Federation (IDF). Other variations included coffee exposure definitions, country of study, and the stratification of results by binary sex. The given evidence suggests that greater coffee consumption is associated with lower odds of elevated blood pressure (BP), increased waist circumference (WC), reduced high-density lipoprotein cholesterol (HDL-C), and elevated triglycerides (TG). From the adjusted sex-stratified results, increased coffee consumption was frequently associated with lower odds of elevated TG and increased WC in men, and elevated BP and reduced HDL-C in women. Conclusions Frequent inverse associations between coffee consumption and specific MetS components – TG and HDL-C – indicate a strong association with lipid-based metabolic outcomes. There were relatively fewer, yet still favorable, statistically significant, lower odds of elevated FBG with higher coffee consumption. Applying broader and additional measurements, such as secondary biomarkers, to assess individual biomarker levels can contribute to the principal standardization of the present heterogeneity. Limitations on additives, coffee preparation methods, and coffee quantity were observed, validating concerns from previous studies.
References
[1] Huang PL. A comprehensive definition for metabolic syndrome. Disease Models & Mechanisms. 2009 Apr 30;2(5-6):231–7.
[2] Grundy SM, Brewer HB, Cleeman JI, Smith SC, Lenfant C, American Heart Association, et al. Definition of Metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association Conference on Scientific Issues Related to Definition. Circulation [Internet]. 2004;109(3):433–8.
[3] Gurka MJ, Lilly CL, M. Norman Oliver, DeBoer MD. An Examination of Sex and Racial/Ethnic Differences in the Metabolic Syndrome among Adults: A Confirmatory Factor Analysis and a Resulting Continuous Severity Score. Metabolism-clinical and Experimental. 2014 Feb 1;63(2):218–25.
[4] Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and Management of the Metabolic Syndrome. Circulation. 2005 Oct 25;112(17):2735–52.
[5] Giangregorio F, Mosconi E, Debellis MG, Provini S, Esposito C, Matteo Garolfi, et al. A Systematic Review of Metabolic Syndrome: Key Correlated Pathologies and Non-Invasive Diagnostic Approaches. Journal of Clinical Medicine [Internet]. 2024 Oct 2 [cited 2026 Jan 16];13(19):5880–0. Available from: https://www.mdpi.com/2077-0383/13/19/5880
[6] Emadi RC, Farin Kamangar. Coffee’s Impact on Health and Well-Being. Nutrients. 2025 Aug 5;17(15):2558–8.
[7] Wang X, Ma H, Sun Q, Li J, Heianza Y, Van Dam RM, et al. Coffee drinking timing and mortality in US adults. European Heart Journal [Internet]. 2026 Jan 18;46(8):749–59.
[8] Susy K. Long-term outcomes from the UK Biobank on the impact of coffee on cardiovascular disease, arrhythmias, and mortality: Does the future hold coffee prescriptions? Global Cardiology Science & Practice [Internet].2023;2023(2):e202313.
[9] Lu X, Zhu X, Li G, Wu L, Shao L, Fan Y, et al. Habitual Coffee, Tea, and Caffeine Consumption, Circulating Metabolites, and the Risk of Cardiometabolic Multimorbidity. The Journal of Clinical Endocrinology & Metabolism. 2024 Sep 17;110(6).
[10] Parikh R, Mohan V. Changing definitions of metabolic syndrome. Indian Journal of Endocrinology and Metabolism [Internet]. 2012 [cited 2026 Jan 16];16(1):7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263200/
[11] Zong X, Kelishadi R, Kim HS, Schwandt P, Matsha TE, Mill JG, et al. A proposed simplified definition of metabolic syndrome in children and adolescents: a global perspective. BMC Medicine. 2024 May 7;22(1).
[12] Zhang Z, Pang Y, Shen J, Chen W, Hao C, Lei Z. The new definition of metabolic syndrome including hyperuricemia improves its prognostic value: results from NHANES database. BMC Cardiovascular Disorders. 2025 Feb 11;25(1).
[13] Matsuura H, Mure K, Nishio N, Kitano N, Nagai N, Takeshita T. Relationship Between Coffee Consumption and Prevalence of Metabolic Syndrome Among Japanese Civil Servants. Journal of Epidemiology. 2012 Feb 18;22(2):160–6.
[14] Wang S, Han Y, Zhao H, Han X, Yin Y, Wu J, et al. Association between Coffee Consumption, Caffeine Intake, and Metabolic Syndrome Severity in Patients with Self-Reported Rheumatoid Arthritis: National Health and Nutrition Examination Survey 2003–2018. Nutrients. 2022 Dec 26;15(1):107.
[15] Alzahrani WI, Alsharif SN, Hafiz MS, Alyoubi DA, Alrizqi AM, Younes RA, et al. Association Between Coffee Consumption and Metabolic Syndrome Components Among Saudi Adults. Metabolites. 2025 Mar 1;15(3):163.
[16] Takami H, Nakamoto M, Uemura H, Katsuura S, Yamaguchi M, Hiyoshi M, et al. Inverse Correlation Between Coffee Consumption and Prevalence of Metabolic Syndrome: Baseline Survey of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan. Journal of Epidemiology. 2013 Jan 5;23(1):12–20.
[17] Nagai K, Chung HF, Hayashi K, Dobson AJ, Ideno Y, Sandin S, et al. The Association Between Race/Ethnicity and Risk of Type 2 Diabetes in Women Varies by BMI: A Pooled Analysis of Individual Data From 15 Cohort Studies. Diabetes Care. 2025 Dec 2;49(2):247–56.
[18] Chen MM, Tsai AC. The effectiveness of IDF and ATP-III in identifying metabolic syndrome and the usefulness of these tools for health-promotion in older Taiwanese. The Journal of nutrition, health and aging [Internet]. 2013 Feb 19;17(4):413–6. Available from:https://www.sciencedirect.com/science/article/pii/S1279770723018146
[19] Sherwani SI, Khan HA, Ekhzaimy A, Masood A, Sakharkar MK. Significance of Hba1c Test in Diagnosis and Prognosis of Diabetic Patients. Biomarker Insights [Internet]. 2016 Jul 3;11(11):BMI.S38440. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC4933534/
[20] Shen W, Punyanitya M, Chen J, Gallagher D, Albu J, Pi-Sunyer X, et al. Waist Circumference Correlates with Metabolic Syndrome Indicators Better Than Percentage Fat*. Obesity. 2006 Apr;14(4):727–36.
[21] Lee A, Lim W, Kim S, Khil H, Cheon E, An S, et al. Coffee Intake and Obesity: A Meta-Analysis. Nutrients [Internet]. 2019 Jun 5;11(6). Available from: https://pubmed.ncbi.nlm.nih.gov/31195610/
[22] Driessen MT, Lando, Veldhuis L, Samoocha D, Jos W. R. Twisk. Coffee consumption is not related to the metabolic syndrome at the age of 36 years: the Amsterdam Growth and Health Longitudinal Study. European Journal of Clinical Nutrition. 2008 Feb 13;63(4):536–42.
[23] Wong THT, Burlutsky G, Gopinath B, Flood VM, Mitchell P, Louie JCY. The longitudinal association between coffee and tea consumption and the risk of metabolic syndrome and its component conditions in an older adult population. Journal of Nutritional Science. 2022 Sep 21;11.
[24] Al-Fawaeir S, Alawneh JM, Al-Odat I. Influence of coffee consumption on serum lipid profile parameters: Can coffee consumption lead to health consequences in humans? Journal of Agriculture and Food Research [Internet]. 2023 Dec 1;14:100904. Available from: https://www.sciencedirect.com/science/article/pii/S2666154323004118
[25] KARABUDAK E, TÜRKÖZÜ D, KÖKSAL E. Association between coffee consumption and serum lipid profile. Experimental and Therapeutic Medicine. 2015 Mar 11;9(5):1841–6.
[26] Senftinger J, Nikorowitsch J, Borof K, Ojeda F, Aarabi G, Beikler T, et al. Coffee consumption and associations with blood pressure, LDL-cholesterol and echocardiographic measures in the general population. Scientific Reports. 2023 Mar 22;13(1).
[27] Tan LJ, Jeon HJ, Park S, Kim SA, Lim K, Chung S, et al. Association of Coffee Consumption and Its Types According to Addition of Sugar and Creamer with Metabolic Syndrome Incidence in a Korean Population from the Health Examinees (HEXA) Study. Nutrients. 2021 Mar 12;13(3):920.
[28] Temple JL, Ziegler AM. Gender Differences in Subjective and Physiological Responses to Caffeine and the Role of Steroid Hormones. Journal of Caffeine Research. 2011 Mar;1(1):41–8.
[29] Kim SA, Shin S. The Association between Coffee Consumption Pattern and Prevalence of Metabolic Syndrome in Korean Adults. Nutrients. 2019 Dec 6;11(12):2992.
[30] Grosso G, Marventano S, Galvano F, Pajak A, Mistretta A. Factors Associated With Metabolic Syndrome in a Mediterranean Population: Role of Caffeinated Beverages. Journal of Epidemiology. 2014 Jul 5;24(4):327–33.
[31] Orrje E, Fristedt R, Rosqvist F, Landberg R, Iggman D. Cafestol and kahweol concentrations in workplace machine coffee compared with conventional brewing methods. Nutrition, Metabolism and Cardiovascular Diseases. 2025 Feb;35(8):103933.
[32] Zhou A, Hyppönen E. Habitual coffee intake and plasma lipid profile: Evidence from UK Biobank. Clinical Nutrition. 2021 Jan;40(6).
[33] 33.D A. Impact Of Caffeine and Decaffeinated Coffee on Blood Glucose Levels in Healthy Individuals And Type 2 Diabetes Patients on Antidiabetic Medication [Internet]. Jneonatalsurg.com. 2025. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/7415
[34] Seidell JC, Pérusse L, Després JP, Bouchard C. Waist and hip circumferences have independent and opposite effects on cardiovascular disease risk factors: the Quebec Family Study. The American Journal of Clinical Nutrition. 2001 Sep 1;74(3):315–21.
[35] Hassan M, Ahmad N, Adam SM, Nawi A, Ghazi H. Abdominal obesity indicators: Waist circumference or waist-to-hip ratio in Malaysian adults population. International Journal of Preventive Medicine [Internet]. 2016 Jun 8;7(1):82. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910307/
[36] Falahi E, Khalkhali Rad AH, Roosta S. What is the best biomarker for metabolic syndrome diagnosis? Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2015 Oct;9(4):366–72.
[37] Adejumo EN, Adejumo OA, Azenabor A, Ekun AO, Enitan SS, Adebola OK, et al. Leptin: Adiponectin ratio discriminated the risk of metabolic syndrome better than adiponectin and leptin in Southwest Nigeria. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2019 May;13(3):1845–9.
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