Evidence map›Paper›PMID 31684153›Full record

ArticleNutrients2019

Tea Consumption Patterns in Relation to Diet Quality among Children and Adults in the United States: Analyses of NHANES 2011-2016 Data.

Florent Vieux, Matthieu Maillot, Colin D Rehm, Adam Drewnowski

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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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

4 authors.

Florent VieuxMS-Nutrition, 27 bld Jean Moulin Faculté de Médecine la Timone, Laboratoire C2VN, 13385 Marseille CEDEX 5, France. florent.vieux@ms-nutrition.com.ORCID 0000-0003-0752-5830
Matthieu MaillotMS-Nutrition, 27 bld Jean Moulin Faculté de Médecine la Timone, Laboratoire C2VN, 13385 Marseille CEDEX 5, France. Matthieu.maillot@ms-nutrition.com.ORCID 0000-0003-4120-0802
Colin D RehmDepartment of Epidemiology & Population Health Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10595, USA. colin.rehm@gmail.com.
Adam DrewnowskiCenter for Public Health Nutrition, University of Washington, Box 353410, Seattle, WA 98195, USA. adamdrew@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flavonoid-rich tea offers an alternative to sugar-sweetened beverages. The present analyses, based on 2 24-hour dietary recalls for 17,506 persons aged ≥9 years old in the 2011-2016 National Health and Nutrition Examination Survey database (NHANES 2011-2016), explored tea consumption patterns in relation to demographics, diet quality, cardiovascular disease (CVD) biomarkers (lipids and blood pressure), and body weight. Beverage categories were unsweetened tea, other tea (herbal and presweetened tea), coffee, milk, 100% juice, water and other high-calorie (HC) and low-calorie (LC) beverages. Tea consumption (18.5% of the sample) was highest among older adults (51-70 years old), non-Hispanic Asians and Whites, and those with college education and higher incomes. The effects of age, gender, education, income, and race/ethnicity were all significant (

Indexed as

TeaAgedBeveragesChildCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedNutrition SurveysSocioeconomic FactorsUnited StatesTeabeveragesBMIconsumptionCVD biomarkersdemographicsdiet qualityHealthy Eating Index 2015Nutrient-Rich Foods (NRF9.3)socioeconomic statustea

Identifiers

PMID31684153
PMCPMC6893790

What OpenQuestion holds

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LicenceCC BY
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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.