Kun-Zhe Tsai
Wei-Chun Huang
Xuemei Sui
Carl J. Lavie
Gen-Min Lin- 1Department of Stomatology of Periodontology, Mackay Memorial Hospital, Taipei, Taiwan
- 2Department of Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan
- 3Department of Periodontology, School of Dentistry, National Defense Medical Center and Tri-Service General Hospital, Taipei, Taiwan
- 4Department of Critical Care Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- 5College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- 6Arnold School of Public Health, University of South Carolina, Columbia, SC, United States
- 7Ochsner Clinical School, John Ochsner Heart and Vascular Institute, The University of Queensland School of Medicine, New Orleans, LA, United States
- 8Department of Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
Background: Daily moderate coffee intake was found with a lower risk of specific metabolic abnormalities, e.g., hypertension and hyperglycemia, while the association of coffee intake and incident metabolic syndrome (MetS) has not been clarified in prior studies, particularly in young adults.
Methods: A total of 2,890 military personnel, aged 18–39 years, free of MetS were followed for incident MetS from baseline (2014) until the end of 2020 in Taiwan. Daily coffee amount consumed was grouped to those ≥3 cups or 600 mL (moderate or more amount) and those without. Incidence of MetS was identified in annual health examinations. MetS was diagnosed on the basis of the guideline of the International Diabetes Federation. Multivariable Cox regression model with adjustments for sex, age, body mass index, physical activity and substance use status at baseline was performed to determine the association.
Results: At baseline, there were 145 subjects with daily coffee intake ≥3 cups or 600 mL (5.0%) in the overall cohort. During a mean follow-up of 6.0 years, 673 incident MetS (23.3%) were found. As compared to those consuming less coffee or none, those consuming daily coffee ≥3 cups had a lower risk of MetS [hazard ratio (HR): 0.69 (95% confidence interval: 0.48, 0.99)].
Conclusion: This study suggests that adhering to the guideline recommended moderate or greater daily coffee consumption for promoting health, may confer advantages in preventing the development of MetS among young adults.
Introduction
Metabolic syndrome (MetS) represents a combination of cardiovascular risk factors, including insulin resistance, dyslipidemia, obesity, and hypertension. Despite variations in its definition, MetS is estimated to affect approximately a quarter of the global population and has the largest global burden of all non-communicable diseases (1, 2). Over the past three decades, the prevalence of MetS in the United States has surged by nearly 30% (3). European studies have reported a prevalence of 23.9% in men and 24.6% in women (4). In Asia, nearly one-fifth of the adult population or more has suffered from MetS, with a steady increase in prevalence over time (5). This heightened prevalence is concerning because MetS is closely linked to an increased risk of developing cardiovascular diseases (CVD) and experiencing all-cause mortality (4). Individuals with MetS face a twofold increased risk of CVD over 5–10 years and a fivefold or greater risk of developing type 2 diabetes over their lifetime (1). Therefore, it is crucial to prioritize preventive measures (1, 6).
Coffee is a beverage rich in bioactive compounds such as caffeine, melanoids, chlorogenic acid, and polyphenols, known for the potential health benefits, e.g., antioxidative, anti-inflammatory, and anti-carcinogenic effects (7). Population-based studies have suggested that consuming two to four cups (approximately 473–946 mL or 16–32 oz.) of typical hot-brewed or reconstituted instant coffee daily is associated with a reduced risk of various illnesses, including diabetes, CVD, and specific metabolic abnormalities like obesity and hypertension (8, 9). However, previous research on the relationship between coffee consumption and the presence of MetS showed conflicting results (6, 9–16). One significant limitation in many of these studies has been the absence of information about physical activity (PA), a crucial factor that can profoundly influence metabolic health. Therefore, it is essential to explore the complex interplay between coffee intake, PA levels, and the risk of MetS to gain a comprehensive understanding of their potential associations and interactions.
Methods
Study population
The cohort study enrolled 4,080 military personnel, aged 18–50 years, as part of the cardiorespiratory fitness and health in Eastern armed forces (CHIEF) study in Taiwan of the Republic of China in 2014 (17, 18). Each participant underwent annual health examinations, which included measurements of anthropometrics, hemodynamics, and blood biomarkers. In addition, participants reported their substance use status, i.e., alcohol consumption, betel nut chewing, and tobacco smoking, classified to active and former/never users, as well as their moderate-intensity PA levels evaluated by leisure-time running (<150, 150–299, and ≥300 min/week) over the past 6 months. This information was collected through a self-administrated questionnaire of the health report at the Hualien Armed Forces General Hospital at the baseline assessment in 2014 (19–21). This study adhered to the principles outlined in the Declaration of Helsinki. Furthermore, the study’s protocol was reviewed and approved by the Institutional Review Board (IRB) of Mennonite Christian Hospital in Hualien City, Taiwan, with certificate number 16-05-008. Written informed consent was obtained from all participants.
Coffee consumption
Participants’ coffee consumption habits were assessed through a self-reported questionnaire, simultaneously with the report of substance use and PA levels. This questionnaire inquired about participants’ coffee consumption over the past 6 months and specifically focused on whether, on average, they consumed on average or more than 3 cups or 600 mL per day, approximately the guideline recommended moderate coffee amounts for promoting health (8, 9).
Annual military health examinations, 2014–2020
The anthropometric measurements, including waist circumference (WC), body height, and weight, were taken once with the subjects in a standing position. Body mass index (BMI) was subsequently calculated as the ratio of body weight (in kilograms) to the square of body height (in square meters). Measurement of WC was performed by an experienced technician to place the tape midway between the top of the subject’s hip bone and the bottom of ribs in line with the belly button, and wrap it around the waist loose enough to fit one finger inside the tape when the subject breathed out smoothly.
Resting blood pressure (BP) was measured once for each participant while in a seated position utilizing an oscillometric method from an automatic BP device (FT201 Parama-Tech Co., Ltd., Fukuoka, Japan) (22–24). In cases where the initial systolic/diastolic BP reading was equal to or exceeded 130/80 mmHg, a second measurement was performed after a 15-min rest period. The final BP level reported was the average of the initial and second BP measurements.
Concentrations of serum total cholesterol, low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), triglycerides and fasting plasma glucose (FPG) were determined from overnight 12-h fasting blood samples collected from each subject. These measurements were analyzed using an automated analyzer (Olympus AU640, Kobe, Japan) (25).
Definition of MetS
As per the International Diabetes Federation’s criteria tailored for the Chinese population (26), MetS was diagnosed as having three or more of the following clinical features: (1) WC ≥90 cm for men and WC ≥80 cm for women; (2) HDL-C < 40 mg/dL for men and <50 mg/dL for women; (3) Serum triglycerides ≥150 mg/dL or the use of lipid-lowering medications; (4) FPG ≥100 mg/dL or the use of anti-diabetic medications; (5) Systolic BP ≥130 mmHg, or diastolic BP ≥85 mmHg, or the use of antihypertensive therapy (27).
Statistical analysis
The military young cohort’s baseline characteristics were presented using mean ± standard deviation (SD) for continuous factors and numbers (percentages) for categorical factors. The follow-up for each subject began in 2014 (baseline) and lasted until the first occurrence of MetS event, loss to follow-up, or the end of the follow-up, which was by December 31, 2020. We employed Kaplan–Meier Curve to analyze the survival rate (free of incident MetS) between two groups based on their coffee consumption status, and a difference was assessed using the log-rank test. Multivariable Cox hazards regression analysis was utilized to investigate the hazard ratios (HR) and 95% confidence intervals (CI) between coffee intake status and the incidence of MetS with simultaneously adjustments for baseline age, sex, BMI, alcohol consumption status, betel nut chewing status, tobacco smoking status, and PA levels. Subgroup analyses that stratified by sex (men and women), age (≥30 and <30 years), BMI (≥25.0 and <25.0 kg/m2), PA activity (≥300 and <300 min/week) and alcohol intake status (active and nonactive) were conducted, and formal testing for interaction was performed. In addition, for the five MetS components, LDL-C and total cholesterol, analysis of covariance (ANCOVA) with adjustments for the relevant metabolic marker level and the priorly mentioned covariates was used to determine whether the difference between the Year 5 and baseline levels of each metabolic marker of the two groups was present. Statistical significance was defined as a p-value < 0.05. All statistical analyses were carried out using SPSS version 26.0 for Windows, developed by IBM Corp. in Armonk, NY, United States.
Results
In this study, participants with baseline MetS (N = 457), those aged 40 years or older at baseline (N = 58), and those who were transferred out of military bases in Eastern Taiwan and subsequently lost to follow-up (N = 675) were excluded. This results in a final population of 2,890 subjects for the analysis.
The baseline characteristics of the study cohort are presented in Table 1. In the final analytical sample, participants with daily coffee intake ≥3 cups or 600 mL had an older mean age and a higher prevalence of active betel nut chewing and alcohol intake, whereas the difference in PA levels was statistically marginal (p = 0.09).
Table 1. Baseline characteristics of military participants free of baseline metabolic syndrome.
Figure 1 reveals the result of the Kaplan–Meier analysis. Participants with daily coffee consumption ≥3 cups or 600 mL showed a lower incidence of MetS event as compared to their counterparts consumed none or less daily coffee amount. Nevertheless, this disparity was not statistically significant (p = 0.16).
Figure 1. The Kaplan–Meier survival analysis for free of metabolic syndrome events in those with daily coffee consumption ≥3 cups or 600 mL compared to their counterparts consumed none or less daily coffee amount (p = 0.16).
Table 2 shows the multivariable Cox proportional hazards regression analysis results. In the crude Model, the inverse association between coffee intake status and the risk of MetS was null (HR: 0.77, p = 0.16) which was consistent with the finding of Kaplan–Meier analysis. On the contrary, in the multivariable Model, as compared to participants with a daily coffee intake <3 cups or 600 mL, those who consumed daily coffee intake ≥3 cups or 600 mL exhibited a lower risk of developing new-onset MetS [HR: 0.69 (95% CI: 0.48, 0.99), p = 0.04]. The results of subgroup analyses are shown in Supplementary Table S1. We found that there were no significant differences in subgroup analyses according to age, sex, BMI, alcohol intake and PA level status.
Table 2. Multivariable cox regression analysis for incidence of metabolic syndrome with coffee intake status.
Table 3 reveals the results of ANCOVA for the 5-year interval change in each metabolic biomarker level of the two groups. As compared to those with daily coffee intake <3 cups or 600 mL, the increased levels of WC, FPG, BP and serum triglycerides in those with daily coffee intake ≥3 cups or 600 mL were lower, in which a significant difference was merely present for WC (p = 0.02). In contrast, the 5-year interval increases in total cholesterol and LDL-C levels were greater in participants with daily coffee intake ≥3 cups or 600 mL, in which a significant difference was present for LDL-C (p = 0.01).
Table 3. Changes in the metabolic biomarkers levels between year 5 and baseline (year 0) in participants with moderate or more daily coffee intake and those without.
Discussion
This study suggests that moderate or greater daily coffee consumption based on the guideline recommendation may be beneficial in preventing new-onset MetS among young adults, regardless of a greater increase in total cholesterol and LDL-C concentrations. In addition, this longitudinal cohort study was the first report providing substantial evidence for the effect of coffee consumption on primary prevention of the development of objectively diagnosed MetS with simultaneously adjustment for PA levels at baseline in young adults.
While previous prospective cohort studies examining the preventive effects of coffee intake on MetS were limited, their findings were inconsistent (6, 10–13). Most of the previous cohort studies failed to establish a significant connection between coffee consumption and the development of MetS (10–13). These prior investigations exhibited heterogeneity in various aspects, e.g., the participants’ average baseline age (ranging from 20 to 65 years), the duration of follow-up (spanning from 6 to 22 years), the methods used to assess coffee consumption, and without adjusting for baseline crucial confounding factor such as PA levels. Nevertheless, a recent study involving 10,253 participants with a 6-year follow-up period suggests that daily coffee consumption 1–4 cups may be associated with a reduced risk of new-onset MetS in young adults [odds ratio: 0.71 (95% CI: 0.50, 0.99)] (6). However, the finding was restricted by the diagnosis of MetS depending on the subjective self-report questionnaire. In the context of cross-sectional study, the association between coffee consumption and MetS remains contentious (9, 14–16). The disparities might be due to types and quantities of coffee consumed, and by PA levels not consideration, which are a significant modifier of metabolic health (14).
Over the past decade, a growing body of research has found that caffeine and its methylxanthine metabolites could affect oxidative stress and inflammation pathways (28). Chronic caffeine administration could suppress reactive oxygen species (ROS) and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathway (28). Notably, caffeine’s effect on inflammation may vary with dosage; low doses may exacerbate acute inflammation, while higher doses can mitigate it (29, 30). Furthermore, caffeine and its metabolites could affect lipid and glucose metabolism through a reaction on enzyme activity (31, 32). Specifically, caffeine can inhibit phosphodiesterases, leading to increased cyclic adenosine monophosphate (cAMP) levels, which promote lipolysis processes (33, 34). In addition, caffeine regulates fat metabolism through the sympathetic nervous system, promoting the secretion of catecholamines that activates β-adrenergic receptors and downstream pathways for lipid metabolism (34, 35).
The phenolic compounds in coffee extract serve as a defense mechanism for vital cellular components, safeguarding them from harm caused by reactive free radicals. Their effectiveness lies in their capacity to activate antioxidant enzymes, mitigating oxidative stress and inflammation (36). In addition, the phenolic metabolites can act as inhibitors or isolators of ROS while transferring electrons to free radicals, thereby promoting metabolic health (37). In this case, polyphenols in coffee could modulate metabolic pathways, contributing to the regulation of MetS characteristics (e.g., reduced serum triglycerides and FPG). On the contrary, the findings of this study also found moderate or more coffee intake may increase LDL-C and total cholesterol concentrations. Although the previous findings for the effect of coffee consumption on lipids concentrations were inconsistent, some meta-analyses revealed a dose response association of coffee intake amounts with total cholesterol and LDL-C concentrations (38, 39). Diterpenes in coffee and unfiltered coffee were found to raise these atherogenic cholesterols, particularly in individuals with baseline hyperlipidemia (39, 40). Since total cholesterol and LDL-C were not a component of MetS, the incidence of MetS with moderate or more coffee intake in this study was not affected.
Strengths and limitations
This study possesses certain strengths and limitations. On the positive side, the findings benefited from the detailed baseline characteristics of participants, allowing for the adjustment for potential confounding factors, particularly PA levels. Additionally, military personnel share similarities in their environment, diets, and healthcare provisions, which help reduce the impact of unmeasured variables. However, there are limitations that need to be acknowledged. First, military personnel are a unique population and whether the results could be applied to the general population of young adults should be clarified. Second, the absence of information on coffee preparations, compositions and additives (e.g., sugar and milk), and the low daily coffee intake status is a major limitation. Although many covariates were controlled at baseline, a residual confounding may not be avoided, possibly leading to a bias. Third, the body composition of each participant was not assessed at baseline and during follow-up which may be used to understand the beneficial effects of coffee intake in advance.
Conclusion
This cohort study provides substantial evidence to support a link between the guideline suggested moderate or more coffee intake in primary prevention and a reduction of future development of MetS among young adults after rigorous adjustments for potential confounders including moderate-intensity PA levels.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Institutional Review Board (IRB) of Mennonite Christian Hospital in Hualien City, Taiwan, with certificate number 16-05-008. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
K-ZT: Formal analysis, Investigation, Methodology, Resources, Software, Writing – original draft. W-CH: Investigation, Supervision, Validation, Visualization, Writing – review & editing. XS: Investigation, Supervision, Validation, Visualization, Writing – review & editing. CL: Investigation, Methodology, Supervision, Validation, Visualization, Writing – review & editing. G-ML: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the Medical Affairs Bureau Ministry of National Defense (MND-MAB-D-113200) and the Hualien Armed Forces General Hospital (HAFGH-D-112004), where was the main place involved in the CHIEF study design, data collection, analyses and writing of this research.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
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Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2023.1321916/full#supplementary-material
References
1. Alberti, KG, Eckel, RH, Grundy, SM, Zimmet, PZ, Cleeman, JI, Donato, KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the international diabetes federation task force on epidemiology and prevention; National Heart, Lung, and Blood Institute; American Heart Association; world heart federation; international atherosclerosis society; and International Association for the Study of obesity. Circulation. (2009) 120:1640–5. doi: 10.1161/CIRCULATIONAHA.109.192644
2. Wang, H, Dai, Y, Huang, S, Rong, S, Qi, Y, and Li, B. A new perspective on special effective interventions for metabolic syndrome risk factors: a systematic review and meta-analysis. Front Public Health. (2023) 11:1133614. doi: 10.3389/fpubh.2023.1133614
3. Moore, JX, Chaudhary, N, and Akinyemiju, T. Metabolic syndrome prevalence by race/ethnicity and sex in the United States, National Health and nutrition examination survey, 1988-2012. Prev Chronic Dis. (2017) 14:E24. doi: 10.5888/pcd14.160287
4. Scuteri, A, Laurent, S, Cucca, F, Cockcroft, J, Cunha, PG, Manas, LR, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. (2015) 22:486–91. doi: 10.1177/2047487314525529
5. Ranasinghe, P, Mathangasinghe, Y, Jayawardena, R, Hills, AP, and Misra, A. Prevalence and trends of metabolic syndrome among adults in the asia-pacific region: a systematic review. BMC Public Health. (2017) 17:101. doi: 10.1186/s12889-017-4041-1
6. Corbi-Cobo-Losey, MJ, Martinez-Gonzalez, MA, Gribble, AK, Fernandez-Montero, A, Navarro, AM, Dominguez, LJ, et al. Coffee consumption and the risk of metabolic syndrome in the 'Seguimiento Universidad de Navarra' project. Antioxidants (Basel). (2023) 12:686. doi: 10.3390/antiox12030686
7. Kim, EJ, Hoffmann, TJ, Nah, G, Vittinghoff, E, Delling, F, and Marcus, GM. Coffee consumption and incident Tachyarrhythmias: reported behavior, Mendelian randomization, and their interactions. JAMA Intern Med. (2021) 181:1185–93. doi: 10.1001/jamainternmed.2021.3616
8. Lowery, LM, Anderson, DE, Scanlon, KF, Stack, A, Escalante, G, Campbell, SC, et al. International society of sports nutrition position stand: coffee and sports performance. J Int Soc Sports Nutr. (2023) 20:2237952. doi: 10.1080/15502783.2023.2237952
9. Baspinar, B, Eskici, G, and Ozcelik, AO. How coffee affects metabolic syndrome and its components. Food Funct. (2017) 8:2089–101. doi: 10.1039/C7FO00388A
10. Driessen, MT, Koppes, LL, Veldhuis, L, Samoocha, D, and Twisk, JW. Coffee consumption is not related to the metabolic syndrome at the age of 36 years: the Amsterdam growth and health longitudinal study. Eur J Clin Nutr. (2009) 63:536–42. doi: 10.1038/ejcn.2008.6
11. Lutsey, PL, Steffen, LM, and Stevens, J. Dietary intake and the development of the metabolic syndrome: the atherosclerosis risk in communities study. Circulation. (2008) 117:754–61. doi: 10.1161/CIRCULATIONAHA.107.716159
12. Wilsgaard, T, and Jacobsen, BK. Lifestyle factors and incident metabolic syndrome. The Tromso study 1979-2001. Diabetes Res Clin Pract. (2007) 78:217–24. doi: 10.1016/j.diabres.2007.03.006
13. Wong, THT, Burlutsky, G, Gopinath, B, Flood, VM, Mitchell, P, and 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. J Nutr Sci. (2022) 11:e79. doi: 10.1017/jns.2022.78
14. Ramli, NNS, Alkhaldy, AA, and Mhd Jalil, AM. Effects of caffeinated and decaffeinated coffee consumption on metabolic syndrome parameters: a systematic review and Meta-analysis of data from randomised controlled trials. Medicina (Kaunas). (2021) 57:957. doi: 10.3390/medicina57090957
15. Nordestgaard, AT, Thomsen, M, and Nordestgaard, BG. Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes: a Mendelian randomization study. Int J Epidemiol. (2015) 44:551–65. doi: 10.1093/ije/dyv083
16. Matsuura, H, Mure, K, Nishio, N, Kitano, N, Nagai, N, and Takeshita, T. Relationship between coffee consumption and prevalence of metabolic syndrome among Japanese civil servants. J Epidemiol. (2012) 22:160–6. doi: 10.2188/jea.JE20110068
17. Lin, GM, Li, YH, Lee, CJ, Shiang, JC, Lin, KH, Chen, KW, et al. Rationale and design of the cardiorespiratory fitness and hospitalization events in armed forces study in eastern Taiwan. World J Cardiol. (2016) 8:464–71. doi: 10.4330/wjc.v8.i8.464
18. Tsai, KZ, Lai, SW, Hsieh, CJ, Lin, CS, Lin, YP, Tsai, SC, et al. Association between mild anemia and physical fitness in a military male cohort: the CHIEF study. Sci Rep. (2019) 9:11165. doi: 10.1038/s41598-019-47625-3
19. Lin, YP, Tsai, KZ, Chang, CY, Su, FY, Han, CL, and Lin, GM. Tobacco smoking and association between betel nut chewing and metabolic abnormalities among military males: the CHIEF study. Endocr Metab Immune Disord Drug Targets. (2021) 21:298–304. doi: 10.2174/1871530320999200818164616
20. Su, FY, Wang, SH, Lu, HH, and Lin, GM. Association of Tobacco Smoking with physical fitness of military males in Taiwan: the CHIEF study. Can Respir J. (2020) 2020:5968189. doi: 10.1155/2020/5968189
21. Tsai, KZ, Huang, CM, Wang, HS, Sui, X, Lavie, CJ, and Lin, GM. Does the guideline-based physical activity level for cardiovascular health also benefit periodontal health? J Dent Sci. (2023). doi: 10.1016/j.jds.2023.05.036 [e-pub ahead of print].
22. Lin, YK, Liu, PY, Fan, CH, Tsai, KZ, Lin, YP, Lee, JM, et al. Metabolic biomarkers and long-term blood pressure variability in military young male adults. World J Clin Cases. (2020) 8:2246–54. doi: 10.12998/wjcc.v8.i11.2246
23. Tsai, KZ, Huang, RY, Cheng, WC, Han, CL, Huang, WC, Sui, X, et al. Association between dental Calculus and hypertension phenotypes in highly fit adults: CHIEF Oral health study. Am J Hypertens. (2023) 36:102–8. doi: 10.1093/ajh/hpac119
24. Lin, YP, Fan, CH, Tsai, KZ, Lin, KH, Han, CL, and Lin, GM. Psychological stress and long-term blood pressure variability of military young males: the cardiorespiratory fitness and hospitalization events in armed forces study. World J Cardiol. (2020) 12:626–33. doi: 10.4330/wjc.v12.i12.626
25. Wang, SH, Chung, PS, Lin, YP, Tsai, KZ, Lin, SC, Fan, CH, et al. Metabolically healthy obesity and physical fitness in military males in the CHIEF study. Sci Rep. (2021) 11:9088. doi: 10.1038/s41598-021-88728-0
26. Alberti, KG, Zimmet, P, and Shaw, J. Metabolic syndrome—a new world‐wide definition. A consensus statement from the international diabetes federation. Diabet Med. (2006) 23:469–80. doi: 10.1111/j.1464-5491.2006.01858.x
27. Chen, KW, Meng, FC, Shih, YL, Su, FY, Lin, YP, Lin, F, et al. Sex-specific association between metabolic abnormalities and elevated alanine aminotransferase levels in a military cohort: the CHIEF study. Int J Environ Res Public Health. (2018) 15:545. doi: 10.3390/ijerph15030545
28. Barcelos, RP, Lima, FD, Carvalho, NR, Bresciani, G, and Royes, LF. Caffeine effects on systemic metabolism, oxidative-inflammatory pathways, and exercise performance. Nutr Res. (2020) 80:1–17. doi: 10.1016/j.nutres.2020.05.005
29. Ohta, A, Lukashev, D, Jackson, EK, Fredholm, BB, and Sitkovsky, M. 1,3,7-trimethylxanthine (caffeine) may exacerbate acute inflammatory liver injury by weakening the physiological immunosuppressive mechanism. J Immunol. (2007) 179:7431–8. doi: 10.4049/jimmunol.179.11.7431
30. Li, W, Dai, S, An, J, Li, P, Chen, X, Xiong, R, et al. Chronic but not acute treatment with caffeine attenuates traumatic brain injury in the mouse cortical impact model. Neuroscience. (2008) 151:1198–207. doi: 10.1016/j.neuroscience.2007.11.020
31. Sinha, RA, Farah, BL, Singh, BK, Siddique, MM, Li, Y, Wu, Y, et al. Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice. Hepatology. (2014) 59:1366–80. doi: 10.1002/hep.26667
32. Yeo, SE, Jentjens, RL, Wallis, GA, and Jeukendrup, AE. Caffeine increases exogenous carbohydrate oxidation during exercise. J Appl Physiol. (2005) 99:844–50. doi: 10.1152/japplphysiol.00170.2005
33. Meeusen, R, Roelands, B, and Spriet, LL. Caffeine, exercise and the brain. Nestle Nutr Inst Workshop Ser. (2013) 76:1–12. doi: 10.1159/000350223
34. Graham, TE . Caffeine and exercise: metabolism, endurance and performance. Sports Med. (2001) 31:785–807. doi: 10.2165/00007256-200131110-00002
35. Acheson, KJ, Gremaud, G, Meirim, I, Montigon, F, Krebs, Y, Fay, LB, et al. Metabolic effects of caffeine in humans: lipid oxidation or futile cycling? Am J Clin Nutr. (2004) 79:40–6. doi: 10.1093/ajcn/79.1.40
36. Murai, T, and Matsuda, S. The Chemopreventive effects of Chlorogenic acids, phenolic compounds in coffee, against inflammation, Cancer, and neurological diseases. Molecules. (2023) 28:2381. doi: 10.3390/molecules28052381
37. Liu, W, Cui, X, Zhong, Y, Ma, R, Liu, B, and Xia, Y. Phenolic metabolites as therapeutic in inflammation and neoplasms: molecular pathways explaining their efficacy. Pharmacol Res. (2023) 193:106812. doi: 10.1016/j.phrs.2023.106812
38. Jee, SH, He, J, Appel, LJ, Whelton, PK, Suh, I, and Klag, MJ. Coffee consumption and serum lipids: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol. (2001) 153:353–62. doi: 10.1093/aje/153.4.353
39. Cai, L, Ma, D, Zhang, Y, Liu, Z, and Wang, P. The effect of coffee consumption on serum lipids: a meta-analysis of randomized controlled trials. Eur J Clin Nutr. (2012) 66:872–7. doi: 10.1038/ejcn.2012.68
Keywords: coffee intake, cohort study, metabolic syndrome, young adults, military health
Citation: Tsai K-Z, Huang W-C, Sui X, Lavie CJ and Lin G-M (2023) Moderate or greater daily coffee consumption is associated with lower incidence of metabolic syndrome in Taiwanese militaries: results from the CHIEF cohort study. Front. Nutr. 10:1321916. doi: 10.3389/fnut.2023.1321916
Edited by:
Roberta Masella, National Institute of Health (ISS), ItalyReviewed by:
Giuseppe Annunziata, University of Campania Luigi Vanvitelli, ItalyElma Izze da Silva Magalhães, Federal University of Rio Grande do Sul, Brazil
Copyright © 2023 Tsai, Huang, Sui, Lavie and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Gen-Min Lin, farmer507@yahoo.com.tw