Evidence map›Paper›PMID 39064817›Full record

ArticleNutrients2024

Association between Whole-Grain Intake and Obesity Defined by Different Anthropometric Indicators and Dose-Response Relationship Analysis among U.S. Adults: A Population-Based Study.

Yongjun Wang, Jing Feng, Tingting Liu, Zhaolong Gong, Qin Zhuo

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yongjun WangKey Laboratory of Public Nutrition and Health of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-5703-1620
Jing FengKey Laboratory of Public Nutrition and Health of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Tingting LiuKey Laboratory of Public Nutrition and Health of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhaolong GongKey Laboratory of Public Nutrition and Health of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Qin ZhuoKey Laboratory of Public Nutrition and Health of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Funding

National "the 14th Five-Year Plan" Plan for Science & Technology Support of China No. 2022YFF1100505
6 · The paper itself

Abstract

Existing research shows an inconsistent correlation between whole-grain intake and obesity risk, with limited study on the dose-response relationship. Here, we aimed to examine this association and dose-response relationship among U.S. adults who participated in a NHANES (2003-2018). The intake of whole grain was collected and calculated from two rounds of 24 h dietary recall. Obesity was categorized based on body mass index (BMI) and waist circumference (WC). Weighted multivariable logistic regression models were used to calculate the odds of obesity according to whole-grain intake, and the dose-response relationship was modeled by restricted cubic spline regression. Among the 27,862 participants, 38.3% had general obesity, while 58.3% had abdominal obesity. After multivariate adjustment of potential confounders, the participants in the highest quintile of whole-grain intake had a lower prevalence of general obesity (OR 0.79; 95% CI 0.72-0.88) and abdominal obesity (OR 0.80; 95% CI 0.73-0.89) compared with those in the lowest category. Spline regression showed an inversely linear dose-response association between whole-grain intake and the prevalence of general obesity and abdominal obesity. In conclusion, a higher whole-grain intake was associated with lower odds of obesity, both general and abdominal. Our findings highlight the importance of increasing the whole-grain intake to prevent and manage obesity.

Indexed as

Body Mass IndexNutrition SurveysObesityWaist CircumferenceWhole GrainsAdultAgedAnthropometryCross-Sectional StudiesDietFemaleHumansMaleMiddle AgedObesity, AbdominalPrevalenceabdominal obesitydose–response relationshipNHANESobesitywhole grain

Identifiers

PMID39064817
PMCPMC11280444

What OpenQuestion holds

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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.