Evidence map›Paper›PMID 39631943›Full record

ArticleBMJ (Clinical research ed.)2024

Chocolate intake and risk of type 2 diabetes: prospective cohort studies.

Binkai Liu, Geng Zong, Lu Zhu, Yang Hu, JoAnn E Manson, Molin Wang, Eric B Rimm, Frank B Hu, Qi Sun

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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.

Binkai LiuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Geng ZongKey Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Lu ZhuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yang HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
JoAnn E MansonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Molin WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eric B RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Qi SunDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA qisun@hsph.harvard.edu.ORCID 0000-0002-8480-1563

Funding

Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
NHLBI NIH HHS R01 HL035464NIH the National Institutes of Health UMCA186107NIH the National Institutes of Health R01-DK120870NIH the National Institutes of Health R01-DK126698NIH the National Institutes of Health R01-ES022981NIH the National Institutes of Health R01-HL035464NIH the National Institutes of Health R01-HL60712NIH the National Institutes of Health R21-AG070375NIH the National Institutes of Health U2C-DK129670the National Institutes of Health P01 CA87969the National Institutes of Health R01-HL034594the National Institutes of Health U01-CA167552the National Institutes of Health U01- CA176726
6 · The paper itself

Abstract

objectiveTo prospectively investigate the associations between dark, milk, and total chocolate consumption and risk of type 2 diabetes (T2D) in three US cohorts.

designProspective cohort studies.

settingNurses' Health Study (NHS; 1986-2018), Nurses' Health Study II (NHSII; 1991-2021), and Health Professionals Follow-Up Study (HPFS; 1986-2020).

participantsAt study baseline for total chocolate analyses (1986 for NHS and HPFS; 1991 for NHSII), 192 208 participants without T2D, cardiovascular disease, or cancer were included. 111 654 participants were included in the analysis for risk of T2D by intake of chocolate subtypes, assessed from 2006 in NHS and HPFS and from 2007 in NHSII.

main outcome measureSelf-reported incident T2D, with patients identified by follow-up questionnaires and confirmed through a validated supplementary questionnaire. Cox proportional hazards regression was used to estimate hazard ratios and 95% confidence intervals (CIs) for T2D according to chocolate consumption.

resultsIn the primary analyses for total chocolate, 18 862 people with incident T2D were identified during 4 829 175 person years of follow-up. After adjusting for personal, lifestyle, and dietary risk factors, participants consuming ≥5 servings/week of any chocolate showed a significant 10% (95% CI 2% to 17%; P trend=0.07) lower rate of T2D compared with those who never or rarely consumed chocolate. In analyses by chocolate subtypes, 4771 people with incident T2D were identified. Participants who consumed ≥5 servings/week of dark chocolate showed a significant 21% (5% to 34%; P trend=0.006) lower risk of T2D. No significant associations were found for milk chocolate intake. Spline regression showed a linear dose-response association between dark chocolate intake and risk of T2D (P for linearity=0.003), with a significant risk reduction of 3% (1% to 5%) observed for each serving/week of dark chocolate consumption. Intake of milk, but not dark, chocolate was positively associated with weight gain.

conclusionsIncreased consumption of dark, but not milk, chocolate was associated with lower risk of T2D. Increased consumption of milk, but not dark, chocolate was associated with long term weight gain. Further randomized controlled trials are needed to replicate these findings and further explore the mechanisms.

Indexed as

ChocolateDiabetes Mellitus, Type 2AdultAgedFemaleHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUnited States

Identifiers

PMID39631943
PMCPMC11616007

What Socratic 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 Socratic graph.