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Association of caffeine, green tea and coffee consumption with mortality and disability among older adults

Published online by Cambridge University Press:  26 September 2025

Daiki Watanabe*
Affiliation:
National Institute of Biomedical Innovation, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki-city, Osaka 567-0085, Japan Faculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-city, Saitama 359-1192, Japan National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-city, Osaka 566-0002, Japan Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan
Tsukasa Yoshida
Affiliation:
National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-city, Osaka 566-0002, Japan Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan Sports and Health Sciences, Graduate School of Biomedical Engineering, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-city, Miyagi 980-8575, Japan Senior Citizen’s Welfare Section, Kameoka City Government, 8 Nonogami, Yasumachi, Kameoka-city, Kyoto 621-8501, Japan
Hinako Nanri
Affiliation:
National Institute of Biomedical Innovation, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8 Saito-Asagi, Ibaraki-city, Osaka 567-0085, Japan National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-city, Osaka 566-0002, Japan
Yuya Watanabe
Affiliation:
National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-city, Osaka 566-0002, Japan Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan Faculty of Sport Study, Biwako Seikei Sport College, 1204 Kitahira, Otsu-city, Shiga 520-0503, Japan
Yosuke Yamada
Affiliation:
National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senrioka Shinmachi, Settsu-city, Osaka 566-0002, Japan Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan Sports and Health Sciences, Graduate School of Biomedical Engineering, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai-city, Miyagi 980-8575, Japan
Misaka Kimura
Affiliation:
Institute for Active Health, Kyoto University of Advanced Science, 1-1 Nanjo Otani, Sogabe-cho, Kameoka-city, Kyoto 621-8555, Japan Laboratory of Applied Health Sciences, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto-city, Kyoto 602-8566, Japan
*
Corresponding author: Daiki Watanabe; Email: daikiwatanabe0319@gmail.com

Abstract

Several epidemiological studies have shown that consumption of coffee and green tea is inversely associated with risks of death and disability; however, the relationship between caffeine consumption and these outcomes remains unclear. We examined these associations in Japanese older adults. This was a prospective study of 7708 adults (aged ≥ 65 years) recruited from the Kyoto–Kameoka study. Dietary intake was estimated using a validated FFQ. Caffeine consumption was classified into four categories. Disability and mortality data were collected between 15 February 2012 and 30 November 2016. Hazard ratios (HR) and 95 % CI of outcomes were calculated using multivariable Cox proportional hazard models. During the median 4·75-year follow-up period, a total of 593 deaths and 1379 disability incidents were recorded. After adjusting for confounders, caffeine consumption was inversely associated with the incidence of disability (< 100 mg/d: reference; 100–149 mg/d: HR, 0·91 (95 % CI 0·80, 1·04); 150–199 mg/d: HR, 0·84 (95 % CI 0·72, 0·99); ≥ 200 mg/d: HR, 0·75 (95 % CI 0·63, 0·89), Pfor trend = 0·001) but not all-cause mortality. High coffee consumption was inversely associated with mortality (≥ 3 cups/d: HR, 0·62 (95 % CI 0·43, 0·88)) and disability (≥ 3 cups/d: HR, 0·81 (95 % CI 0·65, 0·99)) compared with non-consumption. However, green tea consumption was not associated with mortality or disability. Caffeine and coffee consumption was inversely associated with disability and/or mortality. Further research is needed to clarify whether high caffeine intake is safe and effective for older adults.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Nutrition Society

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References

Atella, V, Piano Mortari, A, Kopinska, J, et al. (2019) Trends in age-related disease burden and healthcare utilization. Aging Cell 18, e12861.CrossRefGoogle ScholarPubMed
Chen, Y, Zhang, Y, Zhang, M, et al. (2022) Consumption of coffee and tea with all-cause and cause-specific mortality: a prospective cohort study. BMC Med 20, 449.CrossRefGoogle ScholarPubMed
Zhu, Y, Hu, CX, Liu, X, et al. (2024) Moderate coffee or tea consumption decreased the risk of cognitive disorders: an updated dose-response meta-analysis. Nutr Rev 82, 738748.CrossRefGoogle ScholarPubMed
van Dam, RM, Hu, FB & Willett, WC (2020) Coffee, caffeine, and health. N Engl J Med 383, 369378.CrossRefGoogle ScholarPubMed
Wikoff, D, Welsh, BT, Henderson, R, et al. (2017) Systematic review of the potential adverse effects of caffeine consumption in healthy adults, pregnant women, adolescents, and children. Food Chem Toxicol 109, 585648.CrossRefGoogle ScholarPubMed
van Dam, RM & Hu, FB (2022) Caffeine consumption and cardiovascular health. Nat Rev Cardiol 19, 429430.CrossRefGoogle ScholarPubMed
Corti, R, Binggeli, C, Sudano, I, et al. (2002) Coffee acutely increases sympathetic nerve activity and blood pressure independently of caffeine content: role of habitual v. nonhabitual drinking. Circulation 106, 29352940.CrossRefGoogle Scholar
Svatikova, A, Covassin, N, Somers, KR, et al. (2015) A randomized trial of cardiovascular responses to energy drink consumption in healthy adults. JAMA 314, 20792082.CrossRefGoogle ScholarPubMed
Temple, JL, Bernard, C, Lipshultz, SE, et al. (2017) The safety of ingested caffeine: a comprehensive review. Front Psychiatry 8, 80.CrossRefGoogle ScholarPubMed
Chen, S, Li, J, Gao, M, et al. (2022) Association of caffeine intake with all-cause and cardiovascular mortality in elderly patients with hypertension. Front Nutr 9, 1023345.CrossRefGoogle ScholarPubMed
Wang, K, Li, Z & He, J (2024) Association of caffeine consumption with all-cause and cause-specific mortality in adult Americans with hypertension. Food Sci Nutr 12, 41854195.CrossRefGoogle ScholarPubMed
Tsujimoto, T, Kajio, H & Sugiyama, T (2017) Association between caffeine intake and all-cause and cause-specific mortality: a population-based prospective cohort study. Mayo Clin Proc 92, 11901202.CrossRefGoogle ScholarPubMed
Mineharu, Y, Koizumi, A, Wada, Y, et al. (2011) Coffee, green tea, black tea and oolong tea consumption and risk of mortality from cardiovascular disease in Japanese men and women. J Epidemiol Community Health 65, 230240.CrossRefGoogle ScholarPubMed
Poole, R, Kennedy, OJ, Roderick, P, et al. (2017) Coffee consumption and health: umbrella review of meta-analyses of multiple health outcomes. BMJ 359, j5024.CrossRefGoogle ScholarPubMed
Watanabe, D, Yoshida, T, Yamada, Y, et al. (2023) Association between excess mortality in depressive status and frailty among older adults: a population-based Kyoto-Kameoka prospective cohort study. Arch Gerontol Geriatr 110, 104990.CrossRefGoogle ScholarPubMed
Watanabe, D, Yoshida, T, Watanabe, Y, et al. (2024) Frailty modifies the association of body mass index with mortality among older adults: Kyoto-Kameoka study. Clin Nutr 43, 494502.CrossRefGoogle ScholarPubMed
Watanabe, D, Nanri, H, Sagayama, H, et al. (2019) Estimation of energy intake by a food frequency questionnaire: calibration and validation with the doubly labeled water method in Japanese older people. Nutrients 11, 1546.CrossRefGoogle ScholarPubMed
Watanabe, D, Nanri, H, Yoshida, T, et al. (2019) Validation of energy and nutrition intake in Japanese elderly individuals estimated based on a short food frequency questionnaire compared against a 7-day dietary record: the Kyoto-Kameoka study. Nutrients 11, 688.CrossRefGoogle Scholar
Watanabe, D, Yoshida, T, Yamada, Y, et al. (2022) Dose-response relationship between life-space mobility and mortality in older Japanese adults: a prospective cohort study. J Am Med Dir Assoc 23, 1869.e18671869.e1818.CrossRefGoogle ScholarPubMed
Yamada, Y, Nanri, H, Watanabe, Y, et al. (2017) Prevalence of frailty assessed by fried and Kihon checklist indexes in a prospective cohort study: design and demographics of the Kyoto-Kameoka longitudinal study. J Am Med Dir Assoc 18, 733.e737733.e715.CrossRefGoogle Scholar
Nanri, H, Yamada, Y, Itoi, A, et al. (2019) Consumption of green tea but not coffee is associated with the oral health-related quality of life among an older Japanese population: Kyoto-Kameoka cross-sectional study. Eur J Clin Nutr 73, 577584.CrossRefGoogle Scholar
Tokudome, S, Goto, C, Imaeda, N, et al. (2004) Development of a data-based short food frequency questionnaire for assessing nutrient intake by middle-aged Japanese. Asian Pac J Cancer Prev 5, 4043.Google ScholarPubMed
Imaeda, N, Goto, C, Sasakabe, T, et al. (2021) Reproducibility and validity of food group intake in a short food frequency questionnaire for the middle-aged Japanese population. Environ Health Prev Med 26, 28.CrossRefGoogle Scholar
Ministry of Education, Culture, Sports, Science and Technology (2001) Standard Tables of Food Composition in Japan. https://www.mext.go.jp/en/policy/science_technology/policy/title01/detail01/1374030.htm (accessed 24 June 2025).Google Scholar
Watanabe, D, Yoshida, T, Watanabe, Y, et al. (2022) Validation of the Kihon checklist and the frailty screening index for frailty defined by the phenotype model in older Japanese adults. BMC Geriatr 22, 478.CrossRefGoogle ScholarPubMed
Yamada, M & Arai, H (2020) Long-term care system in Japan. Ann Geriatr Med Res 24, 174180.CrossRefGoogle ScholarPubMed
Streiner, DL (2015) Best (but oft-forgotten) practices: the multiple problems of multiplicity-whether and how to correct for many statistical tests. Am J Clin Nutr 102, 721728.CrossRefGoogle ScholarPubMed
Yamada, M, Sasaki, S, Murakami, K, et al. (2010) Estimation of caffeine intake in Japanese adults using 16 d weighed diet records based on a food composition database newly developed for Japanese populations. Public Health Nutr 13, 663672.CrossRefGoogle ScholarPubMed
Iso, H, Date, C, Wakai, K, et al. (2006) The relationship between green tea and total caffeine intake and risk for self-reported type 2 diabetes among Japanese adults. Ann Intern Med 144, 554562.CrossRefGoogle ScholarPubMed
Tomata, Y, Kakizaki, M, Nakaya, N, et al. (2012) Green tea consumption and the risk of incident functional disability in elderly Japanese: the Ohsaki Cohort 2006 study. Am J Clin Nutr 95, 732739.CrossRefGoogle ScholarPubMed
Zhou, A & Hypponen, E (2019) Long-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease: a prospective analysis of up to 347 077 individuals and 8368 cases. Am J Clin Nutr 109, 509516.CrossRefGoogle ScholarPubMed
Kawakami, R, Tanisawa, K, Ito, T, et al. (2023) Coffee consumption and skeletal muscle mass: WASEDA’S Health Study. Br J Nutr 130, 127136.CrossRefGoogle ScholarPubMed
Iwasaka, C, Yamada, Y, Nishida, Y, et al. (2021) Association between habitual coffee consumption and skeletal muscle mass in middle-aged and older Japanese people. Geriatr Gerontol Int 21, 950958.CrossRefGoogle ScholarPubMed
Kitamura, A, Seino, S, Abe, T, et al. (2021) Sarcopenia: prevalence, associated factors, and the risk of mortality and disability in Japanese older adults. J Cachexia Sarcopenia Muscle 12, 3038.CrossRefGoogle ScholarPubMed
Olthof, MR, Hollman, PC & Katan, MB (2001) Chlorogenic acid and caffeic acid are absorbed in humans. J Nutr 131, 6671.CrossRefGoogle ScholarPubMed
Lucas, M, Mirzaei, F, Pan, A, et al. (2011) Coffee, caffeine, and risk of depression among women. Arch Intern Med 171, 15711578.CrossRefGoogle ScholarPubMed
Acheson, KJ, Zahorska-Markiewicz, B, Pittet, P, et al. (1980) Caffeine and coffee: their influence on metabolic rate and substrate utilization in normal weight and obese individuals. Am J Clin Nutr 33, 989997.CrossRefGoogle ScholarPubMed
Fuller, M & Rao, NZ (2017) The effect of time, roasting temperature, and grind size on caffeine and chlorogenic acid concentrations in cold brew coffee. Sci Rep 7, 17979.CrossRefGoogle ScholarPubMed
Fillmore, KM, Stockwell, T, Chikritzhs, T, et al. (2007) Moderate alcohol use and reduced mortality risk: systematic error in prospective studies and new hypotheses. Ann Epidemiol 17, S16S23.CrossRefGoogle ScholarPubMed
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