Evidence map›Paper›PMID 39776171›Full record

Observational studyEuropean heart journal2025

Coffee drinking timing and mortality in US adults.

Xuan Wang, Hao Ma, Qi Sun, Jun Li, Yoriko Heianza, Rob M Van Dam, Frank B Hu, Eric Rimm, JoAnn E Manson, Lu Qi

Abstract readObservational Study
In one paragraph

Observational study in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. No DECAF Coffee for Me, Please!European cardiology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xuan WangDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA.
Hao MaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.ORCID 0000-0002-8480-1563
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
Yoriko HeianzaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA.
Rob M Van DamDepartments of Exercise and Nutrition Sciences and Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
Eric RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115, USA.
JoAnn E MansonChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA.ORCID 0000-0002-8041-7791

Funding

Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Validity of Diet and Activity Measures in MenU01CA152904 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI RIMM, ERIC B, STAMPFER, MEIR · 2010 to 2013
$7.2M
Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet InterventionsR01DK115679 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Lu Qi · 2018 to 2026
$5.3M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
Obesity Genes, Energy Regulation in Response to Weight-Loss DietsR01DK091718 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2012 to 2021
$4.5M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
NCI NIH HHS P01 CA055075NCI NIH HHS U01 CA152904NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS HL071981NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS DK115679NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS R01 DK115679NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616NIH HHS UM1 CA186107
6 · The paper itself

Abstract

BACKGROUND AND

aimsTo identify the patterns of coffee drinking timing in the US population and evaluate their associations with all-cause and cause-specific mortality.

methodsThis study included 40 725 adults from the National Health and Nutrition Examination Survey 1999-2018 who had complete information on dietary data and 1463 adults from the Women's and Men's Lifestyle Validation Study who had complete data on 7-day dietary record. Clustering analysis was used to identify patterns of coffee drinking timing.

resultsIn this observational study, two distinct patterns of coffee drinking timing [morning type (36% of participants) and all-day-type patterns (14% of participants)] were identified in the National Health and Nutrition Examination Survey and were validated in the Women's and Men's Lifestyle Validation Study. During a median (interquartile range) follow-up of 9.8 (9.1) years, a total of 4295 all-cause deaths, 1268 cardiovascular disease deaths, and 934 cancer deaths were recorded. After adjustment for caffeinated and decaffeinated coffee intake amounts, sleep hours, and other confounders, the morning-type pattern, rather than the all-day-type pattern, was significantly associated with lower risks of all-cause (hazard ratio: .84; 95% confidential interval: .74-.95) and cardiovascular disease-specific (hazard ratio: .69; 95% confidential interval: .55-.87) mortality as compared with non-coffee drinking. Coffee drinking timing significantly modified the association between coffee intake amounts and all-cause mortality (P-interaction = .031); higher coffee intake amounts were significantly associated with a lower risk of all-cause mortality in participants with morning-type pattern but not in those with all-day-type pattern.

conclusionsDrinking coffee in the morning may be more strongly associated with a lower risk of mortality than drinking coffee later in the day.

Indexed as

Cardiovascular DiseasesCoffeeNeoplasmsAdultAgedCause of DeathFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsTime FactorsUnited StatesCoffeeAll-cause mortalityCoffee intakeCVD mortalityTiming

Identifiers

PMID39776171
PMCPMC11843000

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.