Evidence map›Paper›PMID 25420418›Full record

SynthesisBMC medicine2014

Dairy consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis.

Mu Chen, Qi Sun, Edward Giovannucci, Dariush Mozaffarian, JoAnn E Manson, Walter C Willett, Frank B Hu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers, 23 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed, 23 pooled it
35.7field-weighted citation impact, top 1% of its field
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

164 citing papers in PubMed, 23 syntheses or guidelines pooled it, 358 citations in OpenAlex.

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  12. The role of gut micorbiome in obesity and diabetes.World journal of pediatrics : WJP · 2019
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104 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Mu Chen
Qi Sun
Edward Giovannucci
Dariush Mozaffarian
JoAnn E Manson
Walter C Willett
Frank B HuDepartment of Nutrition, Harvard School of Public Health, Boston, MA, USA. frank.hu@channing.harvard.edu.
Harvard University · USBrigham and Women's Hospital · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI RIMM, ERIC B · 1991 to 2009
$41.8M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Novel Adipokines and Coronary Heart Disease in U.S. Men and Women with DiabetesR00HL098459 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SUN, QI · 2012 to 2014
$729k
NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NHLBI NIH HHS R00 HL098459NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL060712NIDDK NIH HHS R01 DK058845
6 · The paper itself

Abstract

backgroundThe relation between consumption of different types of dairy and risk of type 2 diabetes (T2D) remains uncertain. Therefore, we aimed to evaluate the association between total dairy and individual types of dairy consumptions and incident T2D in US adults.

methodsWe followed 41,436 men in the Health Professionals Follow-Up Study (1986 to 2010), 67,138 women in the Nurses' Health Study (1980 to 2010), and 85,884 women in the Nurses' Health Study II (1991 to 2009). Diet was assessed by validated food-frequency questionnaires, and data were updated every four years. Incident T2D was confirmed by a validated supplementary questionnaire.

resultsDuring 3,984,203 person-years of follow-up, we documented 15,156 incident T2D cases. After adjustment for age, body mass index (BMI) and other lifestyle and dietary risk factors, total dairy consumption was not associated with T2D risk and the pooled hazard ratio (HR) (95% confidence interval (CI)) of T2D for one serving/day increase in total dairy was 0.99 (0.98, 1.01). Among different types of dairy products, neither low-fat nor high-fat dairy intake was appreciably associated with risk of T2D. However, yogurt intake was consistently and inversely associated with T2D risk across the three cohorts with the pooled HR of 0.83 (0.75, 0.92) for one serving/day increment (P for trend <0.001). We conducted a meta-analysis of 14 prospective cohorts with 459,790 participants and 35,863 incident T2D cases; the pooled relative risks (RRs) (95% CIs) were 0.98 (0.96, 1.01) and 0.82 (0.70, 0.96) for one serving total dairy/day and one serving yogurt/day, respectively.

conclusionsHigher intake of yogurt is associated with a reduced risk of T2D, whereas other dairy foods and consumption of total dairy are not appreciably associated with incidence of T2D.

Indexed as

Dairy ProductsDietAdultCohort StudiesDiabetes Mellitus, Type 2Feeding BehaviorFemaleHumansIncidenceMaleMiddle AgedRisk FactorsSurveys and QuestionnairesUnited StatesYogurt

Identifiers

PMID25420418
PMCPMC4243376
OpenAlexW2153923696

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.