Tea Consumption and Incidence of Type 2 Diabetes in Europe: The EPIC-InterAct Case-Cohort Study
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{"title"=>"Tea consumption and incidence of type 2 diabetes in Europe: the EPIC-InterAct case-cohort study.", "type"=>"journal", "authors"=>[{"last_name"=>"InterAct Consortium"}], "year"=>2012, "source"=>"PloS one", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0036910", "pmid"=>"22666334"}, "id"=>"a2383cbd-1bcb-3ccb-9a4f-b660b379b641", "abstract"=>"BACKGROUND: In previous meta-analyses, tea consumption has been associated with lower incidence of type 2 diabetes. It is unclear, however, if tea is associated inversely over the entire range of intake. Therefore, we investigated the association between tea consumption and incidence of type 2 diabetes in a European population.\\n\\nMETHODOLOGY/PRINCIPAL FINDINGS: The EPIC-InterAct case-cohort study was conducted in 26 centers in 8 European countries and consists of a total of 12,403 incident type 2 diabetes cases and a stratified subcohort of 16,835 individuals from a total cohort of 340,234 participants with 3.99 million person-years of follow-up. Country-specific Hazard Ratios (HR) for incidence of type 2 diabetes were obtained after adjustment for lifestyle and dietary factors using a Cox regression adapted for a case-cohort design. Subsequently, country-specific HR were combined using a random effects meta-analysis. Tea consumption was studied as categorical variable (0, >0-<1, 1-<4, ≥ 4 cups/day). The dose-response of the association was further explored by restricted cubic spline regression. Country specific medians of tea consumption ranged from 0 cups/day in Spain to 4 cups/day in United Kingdom. Tea consumption was associated inversely with incidence of type 2 diabetes; the HR was 0.84 [95%CI 0.71, 1.00] when participants who drank ≥ 4 cups of tea per day were compared with non-drinkers (p(linear trend) = 0.04). Incidence of type 2 diabetes already tended to be lower with tea consumption of 1-<4 cups/day (HR = 0.93 [95%CI 0.81, 1.05]). Spline regression did not suggest a non-linear association (p(non-linearity) = 0.20).\\n\\nCONCLUSIONS/SIGNIFICANCE: A linear inverse association was observed between tea consumption and incidence of type 2 diabetes. People who drink at least 4 cups of tea per day may have a 16% lower risk of developing type 2 diabetes than non-tea drinkers.", "link"=>"http://www.mendeley.com/research/tea-consumption-incidence-type-2-diabetes-europe-epicinteract-casecohort-study-13", "reader_count"=>20, "reader_count_by_academic_status"=>{"Researcher"=>3, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>8, "Student > Bachelor"=>2}, "reader_count_by_user_role"=>{"Researcher"=>3, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>8, "Student > Bachelor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>10, "Agricultural and Biological Sciences"=>4, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Psychology"=>1, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}}, "reader_count_by_country"=>{"Netherlands"=>1, "Ghana"=>1, "Spain"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/630597"], "description"=>"<p>Values are expressed as Mean (Standard Deviation), Median (p25–p75), or percentage.</p>1<p>Based on <i>n</i> = 13,345, because information about hyperlipidemia was not collected in one center of Sweden.</p>2<p>Based on <i>n</i> = 8,802, because information about family history of diabetes was not collected in Italy, Spain, one center of Germany, and one center of the United Kingdom.</p>3<p>Based on <i>n</i> = 14,262, because information about a history of stroke was not collected in one center of Sweden.</p>4<p>Based on <i>n</i> = 10,168, because information about a history of angina was not collected in Sweden, The Netherlands, and one center of Germany.</p>", "links"=>[], "tags"=>["sub-cohort", "epic-interact", "categories"], "article_id"=>301098, "categories"=>["Chemistry", "Medicine", "Physiology", "Biotechnology"], "users"=>["The InterAct Consortium"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036910.t001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_sub_cohort_of_the_EPIC_InterAct_project_by_categories_of_tea_consumption_n_15_227_/301098", "title"=>"Characteristics of the sub-cohort of the EPIC-InterAct project by categories of tea consumption (<i>n</i> = 15,227).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 04:29:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/630367"], "description"=>"<p>Bar represents median (p25–p75); error line represents p5 till p95.</p>", "links"=>[], "tags"=>["sub-cohort", "epic-interact"], "article_id"=>300867, "categories"=>["Chemistry", "Medicine", "Physiology", "Biotechnology"], "users"=>["The InterAct Consortium"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036910.g001", "stats"=>{"downloads"=>2, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Tea_consumption_based_on_data_from_a_food_frequency_questionnaire_in_the_sub_cohort_of_the_EPIC_InterAct_project_by_country_n_15_227_/300867", "title"=>"Tea consumption based on data from a food frequency questionnaire in the sub-cohort of the EPIC-InterAct project by country (<i>n</i> = 15,227).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 04:28:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/630620"], "description"=>"<p>HR and 95%CI were derived from the modified Cox proportional hazard model by age at baseline and are based on pooled estimates from country specific analyses using a random effects meta-analysis.</p><p>Model 1: sex, smoking status, physical activity level, and education level.</p><p>Model 2: additional to model 1: intake of energy, protein, carbohydrates, saturated fatty acids, mono-unsaturated fatty acids, poly-unsaturated fatty acids, alcohol, and fiber.</p><p>Model 3: additional to model 2: intake of coffee, juices, soft-drinks, and milk.</p><p>Model 4: additional to model 3: body mass index.</p>", "links"=>[], "tags"=>["ratios", "intervals", "categories", "cups"], "article_id"=>301116, "categories"=>["Chemistry", "Medicine", "Physiology", "Biotechnology"], "users"=>["The InterAct Consortium"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036910.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hazard_Ratios_HR_and_95_confidence_intervals_95_CI_for_incident_type_2_diabetes_by_categories_of_tea_consumption_in_cups_per_day_n_26_039_/301116", "title"=>"Hazard Ratios (HR) and 95% confidence intervals (95%CI) for incident type 2 diabetes by categories of tea consumption in cups per day (<i>n</i> = 26,039).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 04:29:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/630517"], "description"=>"<p>Dotted lines represent 95% confidence intervals (95%CI). <i>P</i><sub>non-linearity</sub> = 0.20. Hazard ratios were adjusted for sex, smoking status, physical activity level, education level, intake of energy, protein, carbohydrates, saturated fatty acids, mono-unsaturated fatty acids, poly-unsaturated fatty acids, alcohol, fiber, coffee, juices, soft-drinks, milk, and body mass index.</p>", "links"=>[], "tags"=>["spline", "regression", "knots", "cups"], "article_id"=>301015, "categories"=>["Chemistry", "Medicine", "Physiology", "Biotechnology"], "users"=>["The InterAct Consortium"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036910.g003", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_tea_consumption_based_on_data_from_a_food_frequency_questionnaire_and_risk_of_type_2_diabetes_obtained_by_spline_regression_with_3_knots_1_4_7_cups_per_day_and_0_cups_per_day_as_reference_n_26_039_/301015", "title"=>"Association between tea consumption based on data from a food frequency questionnaire and risk of type 2 diabetes obtained by spline regression with 3 knots (1, 4, 7 cups per day) and 0 cups per day as reference (<i>n</i> = 26,039).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 04:29:21"}
  • {"files"=>["https://ndownloader.figshare.com/files/630440"], "description"=>"<p>Country-specific Hazard Ratios (HR) and 95% Confidence Intervals (95%CI) were pooled using random effects meta-analyses. HR were adjusted for sex, smoking status, physical activity level, education level, intake of energy, protein, carbohydrates, saturated fatty acids, mono-unsaturated fatty acids, poly-unsaturated fatty acids, alcohol, fiber, coffee, juices, soft-drinks, milk, and body mass index.</p>", "links"=>[], "tags"=>["categorical"], "article_id"=>300951, "categories"=>["Chemistry", "Medicine", "Physiology", "Biotechnology"], "users"=>["The InterAct Consortium"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036910.g002", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_tea_consumption_as_a_categorical_variable_0_n_26_039_/300951", "title"=>"Association between tea consumption as a categorical variable (>0-<1 vs. 0, 1-<4 vs. 0, ≥4 vs. 0 cups/d) based on data from a food frequency questionnaire and risk of type 2 diabetes (<i>n</i> = 26,039).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 04:29:00"}

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  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"13", "full-text"=>"15", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
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  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
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  • {"unique-ip"=>"10", "full-text"=>"11", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
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Relative Metric

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