Evidence map›Paper›PMID 29920322›Full record

ArticleAppetite2018

Complementary and compensatory dietary changes associated with consumption or omission of plain water by US adults.

Ashima K Kant, Barry I Graubard

Abstract read
In one paragraph

Article in Appetite, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Associated substitution and complementation patterns of processed discretionary foods and drinks on total energy and added sugar intake.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2023
    Article
  3. Within-person compensation for snack energy by US adults, NHANES 2007-2014.The American journal of clinical nutrition · 2019
    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

2 authors at 1 institution in 1 country.

Ashima K KantDept. of Family, Nutrition, and Exercise Sciences, Queens College of the City University of New York, Flushing, NY (AKK), USA; Division of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD (BIG), USA. Electronic address: ashima.kant@qc.cuny.edu.
Barry I GraubardDept. of Family, Nutrition, and Exercise Sciences, Queens College of the City University of New York, Flushing, NY (AKK), USA; Division of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD (BIG), USA.
Queens College, CUNY · US

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Nutrition, Metabolism, and CancerZIACP010169 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$9.2M
Nutrition, Metabolism, and CancerZ01CP010169 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ZIEGLER, REGINA G · 2002 to 2008
$1.9M
Intramural NIH HHS Z01 CP010169
6 · The paper itself

Abstract

We examined within-person and between-person differences in self-selected diets of free-living individuals when they choose to consume or not to consume plain water. We used 2-days of dietary data from the NHANES 2005-2012 for this study. For within-person analyses, we compared recalls of respondents who reported water in one of the two available recalls (n = 1875 men and 1479 women). For between-person analysis, we compared dietary recalls of respondents who reported water in two, one of two, or zero of two recalls (n = 8632 men and 8907 women). The outcomes examined included reported intakes of 24-h energy from foods, beverages, and dietary and eating pattern attributes. We used covariate-adjusted regression methods for both types of analyses. For within-person analyses, the regression models included separate person-level fixed effects. Relative to the water day, on the no-water day, amount of beverages and energy contribution of beverages were significantly higher in both men (106 kcal) and women (43 kcal) (P ≤ 0.002). However, the water and the no-water days did not differ in 24-h energy intake, or the amount and energy from reported foods (P > 0.05). Energy density of foods, servings of fruits or vegetables and eating patterns did not differ between the water and the no-water day in both men and women (P > 0.05). For between-person analysis, however, intakes of energy and energy density of foods were higher, but density of sodium, potassium, and magnesium were lower among those who reported no water in both recalls. Overall, beverages partially substituted for plain water on the no-water day but qualitative dietary characteristics and eating patterns, which may relate to habitual food intake and personal preferences, were not appreciably different within individuals.

Indexed as

Drinking WaterAdultBeveragesDietEatingFeeding BehaviorFemaleFruitHumansMaleNutrition SurveysUnited StatesVegetablesDrinking WaterBeveragesDiet qualityEating patternsEnergy intakeFoodsNHANESWater

Identifiers

PMID29920322
PMCPMC6849385
OpenAlexW2809351875

What OpenQuestion holds

Textmetadata
LicenceTDM
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.