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Coffee and metabolic phenotypes: A cross-sectional analysis of the Japan multi-institutional collaborative cohort (J-MICC) study
Institution:1. Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan;2. Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan;3. Department of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan;4. Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan;5. Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan;6. Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan;7. Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan;8. Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan;9. Department of Public Health, Faculty of Medicine, Kindai University, Osaka, Japan;10. Department of Public Health, Shiga University of Medical Science, Otsu, Japan;11. Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan;12. Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan;13. Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan;1. Department of Biochemistry, Integral Institute of Medical Sciences and Research, Integral University, Lucknow, India;2. Department of Biochemistry, Faculty of Dentistry, Jamia Millia Islamia, Jamia Nagar, New Delhi, India;1. Department of Medicine – DIMED, University of Padua, Italy;2. Department of Pharmaceutical and Pharmacological Sciences (DSF), University of Padua, Italy;1. School of Nutrition Science, University of Milan, Milan, Italy;2. Oxford Centre for Diabetes, Endocrinology and Metabolism, NIHR Oxford Biomedical Research Centre, University of Oxford, Churchill Hospital, Oxford, OX3 7LE, UK;3. Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy;1. Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Jilin University, China;2. Department of Laboratory Medicine, Hospital of Stomatology, Jilin University, China;3. Department of Endocrinology and Metabolism, China-Japan Union Hospital of Jilin University, Jilin University, China;4. Department of Anesthesiology, China-Japan Union Hospital of Jilin University, Jilin University, China;5. Endoscopy Center, China-Japan Union Hospital of Jilin University, Jilin University, China;6. Imaging and Nuclear Medicine, China-Japan Union Hospital of Jilin University, Jilin University, China;7. Department of General Surgery, China-Japan Union Hospital of Jilin University, Jilin University, China
Abstract:Background and aimsTo date, the relationship between coffee consumption and metabolic phenotypes has hardly been investigated and remains controversial. Therefore, the aim of this cross-sectional study is to examine the associations between coffee consumption and metabolic phenotypes in a Japanese population.Methods and resultsWe analyzed the data of 26,363 subjects (aged 35–69 years) in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. Coffee consumption was assessed using a questionnaire. Metabolic Syndrome (MetS) was defined according to the Joint Interim Statement Criteria of 2009, using body mass index (BMI) instead of waist circumference. Subjects stratified by the presence or absence of obesity (normal weight: BMI <25 kg/m2; obesity: BMI ≥25 kg/m2) were classified by the number of MetS components (metabolically healthy: no components; metabolically unhealthy: one or more components) other than BMI.In multiple logistic regression analyses adjusted for sex, age, and other potential confounders, high coffee consumption (≥3 cups/day) was associated with a lower prevalence of MetS and metabolically unhealthy phenotypes both in normal weight (OR 0.83, 95% CI 0.76–0.90) and obese subjects (OR 0.83, 95% CI 0.69–0.99). Filtered/instant coffee consumption was inversely associated with the prevalence of MetS and metabolically unhealthy phenotypes, whereas canned/bottled/packed coffee consumption was not.ConclusionThe present results suggest that high coffee consumption, particularly filtered/instant coffee, is inversely associated with the prevalence of metabolically unhealthy phenotypes in both normal weight and obese Japanese adults.
Keywords:Coffee consumption  Obesity  Metabolic phenotypes  MetS"}  {"#name":"keyword"  "$":{"id":"kwrd0030"}  "$$":[{"#name":"text"  "_":"Metabolic syndrome  BMI"}  {"#name":"keyword"  "$":{"id":"kwrd0040"}  "$$":[{"#name":"text"  "_":"Body mass index  CVD"}  {"#name":"keyword"  "$":{"id":"kwrd0050"}  "$$":[{"#name":"text"  "_":"Cardiovascular disease  MHNW"}  {"#name":"keyword"  "$":{"id":"kwrd0060"}  "$$":[{"#name":"text"  "_":"Metabolically healthy normal weight  MUNW"}  {"#name":"keyword"  "$":{"id":"kwrd0070"}  "$$":[{"#name":"text"  "_":"Metabolically unhealthy normal weight  MHO"}  {"#name":"keyword"  "$":{"id":"kwrd0080"}  "$$":[{"#name":"text"  "_":"Metabolically healthy obesity  MUHO"}  {"#name":"keyword"  "$":{"id":"kwrd0090"}  "$$":[{"#name":"text"  "_":"Metabolically unhealthy obesity  METs"}  {"#name":"keyword"  "$":{"id":"kwrd0100"}  "$$":[{"#name":"text"  "_":"Metabolic equivalents  HDL"}  {"#name":"keyword"  "$":{"id":"kwrd0110"}  "$$":[{"#name":"text"  "_":"High-density lipoprotein
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