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Raza ML, Haghipanah M, Moradikor N. Coffee and stress management: How does coffee affect the stress response? PROGRESS IN BRAIN RESEARCH 2024; 288:59-80. [PMID: 39168559 DOI: 10.1016/bs.pbr.2024.06.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/23/2024]
Abstract
This chapter explores the complex relationship between coffee drinking and stress management, highlighting the advantages and disadvantages of this widely consumed beverage. The chapter explores the physiological, psychological, and social effects of coffee on stress response and resilience through a thorough analysis of recent studies. It highlights the negative consequences of excessive intake on cardiovascular, gastrointestinal, and mental health while also discussing how moderate coffee consumption may lower stress levels, improve coping skills, and promote relaxation. Considerations for vulnerable populations, interactions with medications and supplements, and sustainability concerns in coffee production and consumption are also addressed. By identifying missing gaps in our understanding of coffee and stress management, the chapter underscores the need for future research to elucidate underlying mechanisms and promote mindful consumption practices. Ultimately, by embracing a holistic approach that considers individual health, environmental sustainability, and social responsibility, we can harness the potential of coffee to support resilience, well-being, and sustainability for individuals and communities worldwide.
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Affiliation(s)
- Muhammad Liaquat Raza
- Department of Infection Prevention & Control, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia.
| | - Motahareh Haghipanah
- International Center for Neuroscience Research, Institute for Intelligent Research, Tbilisi, Georgia
| | - Nasrollah Moradikor
- International Center for Neuroscience Research, Institute for Intelligent Research, Tbilisi, Georgia
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Choi S, Je Y. Association between coffee consumption and high C-reactive protein levels in Korean adults. Br J Nutr 2023; 130:2146-2154. [PMID: 37225668 PMCID: PMC10657750 DOI: 10.1017/s0007114523001241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 05/26/2023]
Abstract
The findings of studies investigating the relationship between coffee consumption and C-reactive protein (CRP) levels have been inconsistent, and few researchers considered the type of coffee. We examined the association between coffee consumption and high CRP levels, using data from the Korea National Health and Nutrition Examination Survey, 2016-2018, with 9337 adults aged 19-64 years. A 24-h diet recall was used to assess diet, including the amount and type of coffee consumed. We classified coffee into black coffee and coffee with sugar and/or cream (non-drinkers, or ≤ 1, 2-3, > 3 cups/d) and used multivariable logistic regression models with high CRP levels (≥ 2·2 mg/l). After the adjustment for potential confounders, 2-3 cups/d of coffee consumption were inversely associated with high CRP levels, compared with no consumption (OR = 0·83, 95 % CI 0·69, 0·99). By type of coffee, the inverse association was stronger in subjects consuming black coffee (OR = 0·61, 95 % CI 0·45, 0·84), while the inverse association was much weaker in those consuming coffee with sugar and/or cream (OR = 0·92, 95 % CI 0·74, 1·14). By sex, the inverse association of 2-3 cups of black coffee was found both in men (OR = 0·65, 95 % CI 0·41, 1·03) and women (OR = 0·55, 95 % CI 0·36, 0·83). More than three cups/d of heavy coffee consumption were not significantly associated with high CRP levels. Our findings indicate that moderate black coffee consumption of 2-3 cups/d is inversely associated with high CRP levels in Korean adults. Further prospective studies are warranted to provide definitive evidence.
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Affiliation(s)
- Sooyeun Choi
- Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea
| | - Youjin Je
- Department of Food and Nutrition, Kyung Hee University, Seoul, South Korea
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Ochoa-Rosales C, van der Schaft N, Braun KVE, Ho FK, Petermann-Rocha F, Ahmadizar F, Kavousi M, Pell JP, Ikram MA, Celis-Morales CA, Voortman T. C-reactive protein partially mediates the inverse association between coffee consumption and risk of type 2 diabetes: The UK Biobank and the Rotterdam study cohorts. Clin Nutr 2023; 42:661-669. [PMID: 36940600 DOI: 10.1016/j.clnu.2023.02.024] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/13/2023] [Accepted: 02/27/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Coffee is among the most consumed beverages worldwide. Coffee consumption has been associated with lower risk of type 2 diabetes mellitus (T2D), but underlying mechanisms are not well understood. We aimed to study the role of classic and novel-T2D biomarkers with anti- or pro-inflammatory activity in the association between habitual coffee intake and T2D risk. Furthermore, we studied differences by coffee types and smoking status in this association. METHODS Using two large population-based cohorts, the UK-Biobank (UKB; n = 145,368) and the Rotterdam Study (RS; n = 7111), we investigated associations of habitual coffee consumption with incident T2D and repeated measures of insulin resistance (HOMA-IR), using Cox proportional hazards and mixed effect models, respectively. Additionally, we studied associations between coffee and subclinical inflammation biomarkers including C-reactive protein (CRP) and IL-13, and adipokines, such as adiponectin and leptin, using linear regression models. Next, we performed formal causal mediation analyses to investigate the role of coffee-associated biomarkers in the association of coffee with T2D. Finally, we evaluated effect modification by coffee type and smoking. All models were adjusted for sociodemographic, lifestyle and health-related factors. RESULTS During a median follow-up of 13.9 (RS) and 7.4 (UKB) years, 843 and 2290 incident T2D cases occurred, respectively. A 1 cup/day increase in coffee consumption was associated with 4% lower T2D risk (RS, HR = 0.96 [95%CI 0.92; 0.99], p = 0.045; UKB, HR = 0.96 [0.94; 0.98], p < 0.001), with lower HOMA-IR (RS, log-transformed β = -0.017 [-0.024;-0.010], p < 0.001), and with lower CRP (RS, log-transformed β = -0.014 [-0.022;-0.005], p = 0.002; UKB, β = -0.011 [-0.012;-0.009], p < 0.001). We also observed associations of higher coffee consumption with higher serum adiponectin and IL-13 concentrations, and with lower leptin concentrations. Coffee-related CRP levels partially mediated the inverse association of coffee intake with T2D incidence (average mediation effect RS β = 0.105 (0.014; 0.240), p = 0.016; UKB β = 6.484 (4.265; 9.339), p < 0.001), with a proportion mediated by CRP from 3.7% [-0.012%; 24.4%] (RS) to 9.8% [5,7%; 25.8%] (UKB). No mediation effect was observed for the other biomarkers. Coffee-T2D and coffee-CRP associations were generally stronger among consumers of ground (filtered or espresso) coffee and among never and former smokers. CONCLUSIONS Lower subclinical inflammation may partially mediate the beneficial association between coffee consumption and lower T2D risk. Consumers of ground coffee and non-smokers may benefit the most. KEYWORDS (MESH TERMS): coffee consumptions; diabetes mellitus, type 2; inflammation; adipokines; biomarkers; mediation analysis; follow-up studies.
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Affiliation(s)
- Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
| | - Niels van der Schaft
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Kim V E Braun
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Nutrition and Dietetics, Faculty of Health, Nutrition and Sport, The Hague University of Applied Sciences, the Netherlands.
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Fanny Petermann-Rocha
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Data Science and Biostatistics, University Medical Center Utrecht, Utrecht, Netherlands.
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Jill P Pell
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| | - Carlos A Celis-Morales
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK; British Heart Foundation Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health Sciences, University of Glasgow, Glasgow, UK; Research Centre on Exercise Physiology (CIFE), Universidad Mayor, Santiago, Chile; Research Group in Education, Physical Activity and Health (GEEAFyS), Universidad Católica del Maule, Talca, Chile.
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
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van Westing AC, Ochoa-Rosales C, van der Burgh AC, Chaker L, Geleijnse JM, Hoorn EJ, Voortman T. Association of habitual coffee consumption and kidney function: A prospective analysis in the Rotterdam Study. Clin Nutr 2023; 42:83-92. [PMID: 36516702 DOI: 10.1016/j.clnu.2022.11.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 12/02/2022]
Abstract
BACKGROUND & AIMS Population-based studies have suggested a protective effect of coffee against development of chronic kidney disease (CKD), possibly through coffee's anti-inflammatory and antioxidant compounds. Studies on coffee and kidney function decline in the general population are scarce. We studied associations of habitual coffee consumption with repeated assessments of estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR). METHODS We used data from 7,914 participants of the population-based Rotterdam Study. Baseline coffee consumption data (cups/day) were obtained from home interviews and validated food frequency questionnaires (1997-2008). Repeated assessments of eGFR (ml/min per 1.73 m2, 1997-2014) were calculated according to the creatinine-based CKD Epidemiology Collaboration equation of 2012. Repeated assessments of urinary albumin and creatinine were used to estimate ACR (mg/g, 2006-2014). Data were analyzed by applying linear mixed models, adjusted for sociodemographic, lifestyle and dietary factors, and cardiovascular disease risk factors. Predefined subgroup analyses were performed stratified by CKD risk factors. RESULTS Participants' mean (SD) baseline age was 66 (10) years, 57% were women and median [IQR] coffee consumption was 3.0 [2.0, 5.0] cups/day. Those drinking more coffee were more likely to smoke, and to have type 2 diabetes (T2D) and obesity. Mean eGFR was 79 (15) ml/min per 1.73 m2. In the total study population, coffee was not associated with longitudinal eGFR during a median of 5.4 years of follow-up (β = 0.04 ml/min per 1.73 m2 per one cup/day [95% CI: -0.10,0.18]). However, among those aged >70 years, one additional coffee cup/day was associated with on average 0.84 (0.51,1.18) ml/min per 1.73 m2 higher longitudinal eGFR. Among obese participants this estimate was 0.32 (0.01,0.63). A protective trend was also observed among former smokers (0.17 [-0.03,0.39]) and those with T2D (0.42 [-0.05,0.88]). Coffee was not associated with longitudinal ACR (0.01 mg/ml [-0.01,0.02]). CONCLUSION While coffee was not associated with eGFR and ACR in the total population, more coffee consumption was associated with higher longitudinal eGFR among those at higher risk for CKD, i.e., among those aged 70+ and obese participants. These findings require confirmation in other prospective cohort studies.
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Affiliation(s)
- Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Latin American Institute for Brain Health (BrainLat), Universidad Adolfo Ibáñez, Chile
| | - Anna C van der Burgh
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Internal Medicine, Division Endocrinology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands
| | - Ewout J Hoorn
- Department of Internal Medicine, Division of Nephrology and Transplantation, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, 6708 WE, Wageningen, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
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Hou C, Zeng Y, Chen W, Han X, Yang H, Ying Z, Hu Y, Sun Y, Qu Y, Fang F, Song H. Medical conditions associated with coffee consumption: Disease-trajectory and comorbidity network analyses of a prospective cohort study in UK Biobank. Am J Clin Nutr 2022; 116:730-740. [PMID: 35849013 PMCID: PMC9437992 DOI: 10.1093/ajcn/nqac148] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/14/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Habitual coffee consumption has been associated with multiple health benefits. A comprehensive analysis of disease trajectory and comorbidity networks in relation to coffee consumption is, however, currently lacking. OBJECTIVES We aimed to comprehensively examine the health outcomes associated with habitual coffee consumption, through clarifying its disease trajectory and comorbidity networks. METHODS Based on the UK Biobank cohort, we included 395,539 individuals with available information on coffee intake collected at recruitment between 2006 and 2010. These individuals were categorized as having low (<1 cup per day), moderate (1-3 cups), and high (≥4 cups) levels of coffee intake, and were followed through 2020 to ascertain 496 medical conditions. Cox regression was used to assess the associations between high-level coffee intake and the risk of medical conditions with a prevalence ≥0.5% in the study population, after adjusting for multiple confounders, using low-level coffee intake as the reference. Disease-trajectory and comorbidity network analyses were then applied to visualize the temporal and nontemporal relationships between the medical conditions that had an inverse association with high-level coffee intake. RESULTS During a median follow-up of 11.8 years, 31 medical conditions were found to be associated with high-level coffee intake, among which 30 showed an inverse association (HRs ranged from 0.61 to 0.94). The inverse associations were more pronounced for women, compared with men. Disease-trajectory and comorbidity network analyses of these 30 conditions identified 4 major clusters of medical conditions, mainly in the cardiometabolic and gastrointestinal systems, among both men and women; 1 cluster of medical conditions following alcohol-related disorders, primarily among men; as well as a cluster of estrogen-related conditions among women. CONCLUSIONS Habitual coffee consumption was associated with lower risks of many medical conditions, especially those in the cardiometabolic and gastrointestinal systems and those related to alcohol use and estrogen regulation.
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Affiliation(s)
- Can Hou
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Wenwen Chen
- Division of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Han
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Zhiye Ying
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yajing Sun
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Fang Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Huan Song
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.,Med-X Center for Informatics, Sichuan University, Chengdu, China.,Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
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Cornelis MC, van Dam RM. Coffee consumption and disease networks. Am J Clin Nutr 2022; 116:625-626. [PMID: 35849012 DOI: 10.1093/ajcn/nqac165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Marilyn C Cornelis
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rob M van Dam
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.,Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
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Wee CC. The Potential Health Benefit of Coffee: Does a Spoonful of Sugar Make It All Go Away? Ann Intern Med 2022; 175:1035-1036. [PMID: 35635845 DOI: 10.7326/m22-1465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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Affiliation(s)
- Zachary D Goldberger
- Division of Cardiovascular Medicine, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison
| | - Rodney A Hayward
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor.,Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor.,Department of Veterans Health Service Research & Development Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
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Chieng D, Kistler PM. Coffee and tea on cardiovascular disease (CVD) prevention. Trends Cardiovasc Med 2021; 32:399-405. [PMID: 34384881 DOI: 10.1016/j.tcm.2021.08.004] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/03/2021] [Accepted: 08/04/2021] [Indexed: 01/16/2023]
Abstract
Coffee and tea are amongst the most consumed beverages worldwide, and are the main source of caffeine in adults. In this review we present findings on the effects of habitual coffee and tea consumption on cardiovascular disease (CVD) prevention. Mild-moderate coffee/ caffeine consumption, at 2-3 cups/day, is associated with beneficial effects on metabolic syndrome, including hypertension and diabetes mellitus, although may elevate lipid levels. Furthermore, coffee consumption reduces the risk of coronary heart disease, heart failure, arrhythmia, stroke, CVD and all cause mortality. Higher tea consumption, in particular green tea, confers similar cardiovascular benefits to coffee with 3 cups/day associated with improved survival in population based studies.
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Affiliation(s)
- David Chieng
- The Alfred Hospital, Melbourne, Australia; The Baker Heart Research Institute, Melbourne, Australia; University of Melbourne, Melbourne, Australia
| | - Peter M Kistler
- The Alfred Hospital, Melbourne, Australia; The Baker Heart Research Institute, Melbourne, Australia; University of Melbourne, Melbourne, Australia; Monash University, Melbourne, Australia.
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Pham K, Mulugeta A, Zhou A, O'Brien JT, Llewellyn DJ, Hyppönen E. High coffee consumption, brain volume and risk of dementia and stroke. Nutr Neurosci 2021; 25:2111-2122. [PMID: 34165394 DOI: 10.1080/1028415x.2021.1945858] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Coffee is a highly popular beverage worldwide, containing caffeine which is a central nervous system stimulant. OBJECTIVES We examined whether habitual coffee consumption is associated with differences in brain volumes or the odds of dementia or stroke. METHODS We conducted prospective analyses of habitual coffee consumption on 398,646 UK Biobank participants (age 37-73 years), including 17,702 participants with MRI information. We examined the associations with brain volume using covariate adjusted linear regression, and with odds of dementia (4,333 incident cases) and stroke (6,181 incident cases) using logistic regression. RESULTS There were inverse linear associations between habitual coffee consumption and total brain (fully adjusted β per cup -1.42, 95% CI -1.89, -0.94), grey matter (β -0.91, 95% CI -1.20, -0.62), white matter (β -0.51, 95% CI -0.83, -0.19) and hippocampal volumes (β -0.01, 95% CI -0.02, -0.003), but no evidence to support an association with white matter hyperintensity (WMH) volume (β -0.01, 95% CI -0.07, 0.05). The association between coffee consumption and dementia was non-linear (Pnon-linearity = 0.0001), with evidence for higher odds for non-coffee and decaffeinated coffee drinkers and those drinking >6 cups/day, compared to light coffee drinkers. After full covariate adjustment, consumption of >6 cups/day was associated with 53% higher odds of dementia compared to consumption of 1-2 cups/day (fully adjusted OR 1.53, 95% CI 1.28, 1.83), with less evidence for an association with stroke (OR 1.17, 95% CI 1.00, 1.37, p = 0.055). CONCLUSION High coffee consumption was associated with smaller total brain volumes and increased odds of dementia.
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Affiliation(s)
- Kitty Pham
- Australian Centre for Precision Health, University of South Australia, Clinical & Health Sciences, Adelaide, Australia
| | - Anwar Mulugeta
- Australian Centre for Precision Health, University of South Australia, Clinical & Health Sciences, Adelaide, Australia.,South Australian Health and Medical Research Institute, Adelaide, Australia.,Department of Pharmacology and Clinical Pharmacy, College of Health Science, Addis Ababa University, Addis, Ababa, Ethiopia
| | - Ang Zhou
- Australian Centre for Precision Health, University of South Australia, Clinical & Health Sciences, Adelaide, Australia.,South Australian Health and Medical Research Institute, Adelaide, Australia
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - David J Llewellyn
- College of Medicine and Health, University of Exeter, Devon, UK.,Alan Turing Institute, London, England
| | - Elina Hyppönen
- Australian Centre for Precision Health, University of South Australia, Clinical & Health Sciences, Adelaide, Australia.,South Australian Health and Medical Research Institute, Adelaide, Australia
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