Evidence map›Paper›PMID 39503925›Full record

ArticleEuropean journal of epidemiology2024

Influence of consuming coffee and other beverages in adolescence on risk of type 2 diabetes in adulthood.

Derrick Johnston Alperet, Xiaowen Wang, Lu Zhu, Klodian Dhana, Jorge E Chavarro, Jess Haines, Frank B Hu, Walter C Willett, Qi Sun

Abstract read
In one paragraph

Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Derrick Johnston Alperet *Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Xiaowen Wang *Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Lu ZhuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Klodian DhanaDepartment of Internal Medicine, Division of Geriatrics and Palliative Medicine, Rush Medical College, Rush University, Chicago, IL, U.S.A.
Jorge E ChavarroDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Jess HainesDepartment of Family Relations & Applied Nutrition, College of Social & Applied Human Sciences, University of Guelph, Guelph, ON, Canada.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, 665 Huntington Avenue, Building 2, Room 349, 02115, Boston, MA, U.S.A.. qisun@hsph.harvard.edu.

Funding

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
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
Environmental Obesogens and Weight Change in the POUNDS LOST TrialR01ES022981 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SUN, QI · 2014 to 2024
$4.7M
Ultra-processed Foods, Diet Quality, and Cardiometabolic Health: An Inter-disciplinary Trans-Atlantic Collaborative ProjectR01DK120870 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Qibin Qi, Qi Sun · 2019 to 2026
$4.2M
Circulating plasma metabolites, diet, and risk of type 2 diabetesR01DK112940 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B, MORA, SAMIA · 2018 to 2021
$2.9M
Human Gut Microbiome and Incident Diabetes Risk in U.S. PopulationsR01DK126698 · NIDDK · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI QI, QIBIN, SUN, QI · 2021 to 2024
$2.5M
Agency for Science Technology and Research (A*STAR) International Fellowship Agency for Science Technology and Research (A*STAR) International FellowshipNational Institute Health U01 CA176726, R01 CA67262, R01 DK112940, R01 ES022981, R01 DK126698, R01 HL035464, and R01 DK120870NCI NIH HHS R01 CA067262NCI NIH HHS U01 CA176726NHLBI NIH HHS R01 HL035464NIDDK NIH HHS R01 DK112940NIDDK NIH HHS R01 DK120870NIDDK NIH HHS R01 DK126698NIEHS NIH HHS R01 ES022981
6 · The paper itself

Abstract

backgroundDietary strategies for type 2 diabetes (T2DM) prevention have mainly focused on solid foods and nutrients. Emanating evidence suggests that beverage consumption in adulthood may also influence T2DM development, whereas the role of beverages during adolescence remains unknow.

objectiveTo examine adolescent beverages consumption, and their changes from adolescence to adulthood in relation to T2DM risk in adulthood.

methodsThis prospective cohort study, conducted within the Nurses' Health Study II (NHS II), enrolled 41,317 women who completed a food-frequency questionnaire (FFQ) regarding their diet in high school and had no diabetes, cardiovascular disease, or cancer at baseline (1997). Beverage consumption including coffee, tea, regular or diet soda, fruit juice or milk, was assessed using the FFQ. Cox proportional hazards models were utilized to estimate hazard ratios (HRs) for the association between beverage consumption in adolescence and risk of incident type 2 diabetes (T2DM) in adulthood, adjusting for potential confounders.

resultsDuring 725,650 person-years of follow-up, 2,844 participants developed T2DM. After adjustment for demographic, lifestyle and dietary risk factors, comparing ≥ 1 serving/day with non-consumers, adolescent coffee [HR, 0.86 (95% confidence interval: 0.75 to 0.98); P-trend = 0.02)] and orange juice [HR, 0.83 (0.71 to 0.96); P-trend = 0.0008)] consumption was associated with lower T2DM risk, whereas, regular soda [HR, 1.37 (1.20 to 1.57); P-trend < 0.0001)] and iced tea [HR, 1.41 (1.21 to 1.65); P-trend < 0.0001)] intake was associated with higher T2DM risk. Increased coffee intake from adolescence to adulthood in 1991 was associated with a lower T2DM risk [HR, 0.70 (0.61 to 0.80); P-trend < 0.0001), comparing ≥ + 3 servings/day with no change], whereas the opposite was observed for increased regular soda [HR, 1.20 (1.06 to 1.35); P-trend = 0.004), comparing ≥ + 1 or more servings/week with no change)] and diet soda consumption [HR, 1.59 (1.41 to 1.80); P-trend = 0.0002), comparing ≥ + 2 servings/day with no change].

conclusionAdolescent consumption of coffee or orange juice intake was associated with a lower risk of T2DM, whereas the opposite was observed for intake of regular soda or iced tea. In addition, increased coffee intake was associated with a lower diabetes risk, whereas the opposite was observed for regular or diet soda intake. These data highlight a potentially important role of beverage intake at early life in the etiology of diabetes during adulthood.

Indexed as

BeveragesCoffeeDiabetes Mellitus, Type 2AdolescentAdultDietFeeding BehaviorFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsSurveys and QuestionnairesTeaCoffeeTeaAdolescentAdulthoodCoffeeDiet sodaFruit juiceHumans.Metabolic healthMilkNon-insulin dependent diabetes mellitusRegular sodaSodaTeaType 2 diabetes mellitus

Identifiers

PMID39503925
PMCPMC12324064

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

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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.