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Most adults with obesity did not meet food noise criteria in US survey (opens in a new tab)

news-medical.net · 2026-10-27

Short answerEvidenceSource

Short answer

Mostly not supported

Mostly not supported.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 1 supported
  • 4 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mostly not supported

The one claim we could check holds up. One of five claims matches the study. This overall rating is based only on the claims we could check. Four claims the study doesn't address.

  • 1 supported
  • 4 not covered
Open claim evidence
3
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

5 claims in this story

Showing all 5 claimsChoose a verdict to focus the list.

Claim 1 of 5Not coveredAn estimated 4% to 9.5% of US adults not currently taking GLP-1 medications met questionnaire-based criteria for food noise in a recent study posted as a preprint.View evidenceHide evidence

As stated4% to 9.5%

Why this verdict

The abstract-level profile supports the core prevalence range: approximately 4% to 9.5% of U.S. adults met operational-definition criteria for food-noise endorsement. However, the profile does not verify that the analytic population was limited to adults not currently taking GLP-1 medications, nor does it verify the preprint status. Those details may require full-text or external publication-status evidence.

1

Study evidence

Depending on the operational definition, approximately 4% to 9.5% of U.S. adults met criteria for food-noise endorsement.4%–9.5%

“Food noise endorsement was estimated using three operational definitions.”
Claim 2 of 5Not coveredThe study used data from the nationally representative NORC AmeriSpeak Panel and analyzed the Fall 2025 wave in adults who were not taking GLP-1 receptor agonists.View evidenceHide evidence

Why this verdict

The profile supports use of a nationally representative U.S. adult survey sample from Fall 2025. It does not, at abstract depth, identify the survey specifically as the NORC AmeriSpeak Panel or verify exclusion of adults taking GLP-1 receptor agonists.

1

Study evidence

Survey-weighted EFA supported a strongly loaded one-factor solution for the FNQ explaining approximately 80% of variance; survey-weighted CFA supported the one-factor structure with factor loadings and model fit broadly consistent with the original FNQ validation study.≈80% variance explained

“Survey-weighted exploratory and confirmatory factor analyses were used to evaluate the structure of the Food Noise Questionnaire (FNQ; ref. 1).”
2

Study evidence

Depending on the operational definition, approximately 4% to 9.5% of U.S. adults met criteria for food-noise endorsement.4%–9.5%

“Food noise endorsement was estimated using three operational definitions.”
Claim 3 of 5Not coveredAbout 40.8% of the sample had obesity, and among adults with obesity, estimated food-noise endorsement ranged from 6% to 13.7% depending on the definition used.View evidenceHide evidence

As stated6% to 13.7%

Why this verdict

The profile supports the obesity-subgroup prevalence range approximately, reporting 6% to 14% among adults with obesity, consistent with the story’s 6% to 13.7% framing. But the abstract-level profile does not report that 40.8% of the sample had obesity, so that material numeric detail is not verifiable at this depth.

1

Study evidence

Depending on the operational definition, approximately 4% to 9.5% of U.S. adults met criteria for food-noise endorsement.4%–9.5%

“Food noise endorsement was estimated using three operational definitions.”
Claim 4 of 5Not coveredFood-noise scores were higher in younger adults and women, and after adjustment for weight status, people with overweight or obesity had higher scores than those with normal weight.View evidenceHide evidence

Why this verdict

The profile supports the directional associations: higher food-noise scores among women, younger adults, and people in higher BMI categories relative to normal weight. However, the claim’s adjustment framing is not verifiable from the abstract-level profile, which explicitly lacks model covariates and full regression specification.

1

Study evidence

Women reported higher food noise (FNQ scores) than men.B = 0.18, 95% CI [0.09, 0.26], p < .001

“Survey-weighted linear regression was used to examine associations between food noise and sociodemographic and weight-related subgroups.”
Claim 5 of 5SupportedThe article says the estimates are preliminary because no clinically validated threshold for food noise exists, and that the cross-sectional design cannot establish whether food noise contributes to obesity.View evidenceHide evidence

Why this verdict

The profile supports the caveats that clinically meaningful thresholds for food noise still need to be established and that the evidence comes from a single cross-sectional survey wave, limiting causal or temporal interpretation of associations with obesity.

1

Study evidence

Survey-weighted EFA supported a strongly loaded one-factor solution for the FNQ explaining approximately 80% of variance; survey-weighted CFA supported the one-factor structure with factor loadings and model fit broadly consistent with the original FNQ validation study.≈80% variance explained

“Survey-weighted exploratory and confirmatory factor analyses were used to evaluate the structure of the Food Noise Questionnaire (FNQ; ref. 1).”
2

Study evidence

Depending on the operational definition, approximately 4% to 9.5% of U.S. adults met criteria for food-noise endorsement.4%–9.5%

“Food noise endorsement was estimated using three operational definitions.”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • The paper’s primary psychometric contribution was evaluation of the Food Noise Questionnaire factor structure using survey-weighted EFA and CFA, finding a strongly loaded one-factor solution explaining about 80% of variance and CFA fit broadly consistent with prior validation.

    The story focuses on prevalence, subgroup differences, and limitations, but does not mention the paper’s headline psychometric evaluation of the FNQ.

    From Survey-weighted EFA and CFA on a nationally representative cross-sectional survey

  • The authors note need for further research on overlap with related constructs and underlying mechanisms.

    The story’s caveats cover preprint status, thresholds, and causation, but not the paper-profile limitation about construct overlap and mechanisms.

    From Survey-weighted EFA and CFA on a nationally representative cross-sectional survey; Survey-weighted linear regression on

4 things the story did carry across
  • The paper estimated national food-noise endorsement prevalence using three operational definitions, reporting approximately 4% to 9.5% overall and approximately 6% to 14% among adults with obesity.
  • The paper reported survey-weighted regression associations showing higher food-noise scores among women than men, higher scores among younger adults, and progressively higher scores across BMI categories.
  • The paper’s abstract-level limitations include that clinically meaningful thresholds for food noise have not been established and operational definitions affect prevalence estimates.
  • The paper’s evidence comes from a single cross-sectional nationally representative survey wave, limiting causal or temporal interpretation.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

3

Evidence read

study summary

Lead result

secondary data

1Lead resultsecondary dataPsychometric evaluation of the Food Noise Questionnaire (FNQ) factor structure in a nationally representative U.S. adult sample using survey-weighted EFA and CFA.Survey-weighted EFA and CFA on a nationally representative cross-sectional surveyExpand

In plain English

Survey-weighted exploratory and confirmatory factor analyses of the Food Noise Questionnaire (FNQ) in a nationally representative U.S. adult sample (N=3,646, Fall 2025) supported a strongly loaded one-factor structure explaining approximately 80% of variance; CFA model fit and factor loadings were reported as broadly consistent with the original FNQ validation study.

Key findings

  • Survey-weighted EFA supported a strongly loaded one-factor solution for the FNQ explaining approximately 80% of variance; survey-weighted CFA supported the one-factor structure with factor loadings and model fit broadly consistent with the original FNQ validation study.≈80% variance explained
“Survey-weighted exploratory and confirmatory factor analyses were used to evaluate the structure of the Food Noise Questionnaire (FNQ; ref. 1).”
What this piece can’t prove
  • The abstract does not report sensitivity analyses or alternative factor solutions beyond the one-factor model.

2 further details could not be confirmed from the summary.

2secondary dataNational prevalence estimates of food noise endorsement among U.S. adults (overall and by obesity status) using multiple operational definitions.Survey-weighted prevalence estimation using three operational definitionsExpand

In plain English

Using a nationally representative U.S. adult survey (N = 3,646) conducted in Fall 2025 and three predefined operational definitions for 'food noise' endorsement, the authors report survey-weighted prevalence estimates ranging approximately 4%–9.5% overall and 6%–14% among adults with obesity.

Key findings

  • Depending on the operational definition, approximately 4% to 9.5% of U.S. adults met criteria for food-noise endorsement.4%–9.5%
  • Among adults with obesity, prevalence ranged from approximately 6% to 14%.6%–14%
“Food noise endorsement was estimated using three operational definitions.”
What this piece can’t prove
  • Abstract does not specify the exact criteria/thresholds for the three operational definitions used to designate 'endorsement'.
  • Authors state the need to establish clinically meaningful thresholds and to determine overlap with related constructs; this indicates current estimates are preliminary.
  • Results are from a single cross-sectional, nationally representative survey (Fall 2025); abstract does not provide additional detail on measurement mode or potential nonresponse/bias adjustments beyond mention of survey weights.
3secondary dataAssociations of food noise (FNQ scores/endorsement) with sociodemographic and weight-related subgroups using survey-weighted regression.Survey-weighted linear regression on a nationally representative surveyExpand

In plain English

In a nationally representative U.S. adult sample (N = 3,646, Fall 2025), survey-weighted linear regression was used to estimate associations between food noise (Food Noise Questionnaire scores/endorsement) and sociodemographic subgroups (sex, age) and weight-related subgroups (BMI categories). The study reports higher FNQ scores among women than men and a graded increase in FNQ scores across weight categories, with effect estimates and 95% CIs presented for several comparisons.

Key findings

  • Women reported higher food noise (FNQ scores) than men.B = 0.18, 95% CI [0.09, 0.26], p < .001
  • Younger adults had higher food noise scores relative to older adults.
“Survey-weighted linear regression was used to examine associations between food noise and sociodemographic and weight-related subgroups.”
What this piece can’t prove
  • Authors note the need for further research to establish clinically meaningful thresholds for food noise.
  • Authors note the need to determine overlap of food noise with related constructs and to examine underlying mechanisms.

1 further detail could not be confirmed from the summary.

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Method layer

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Papers considered

The selected paper, plus nearby candidates.

PubMed, Europe PMC, Crossref · 35 candidate papers

Candidate

Applying metaheuristic optimization for insider-threat detection using natural language processing

International Journal of Data Science and Analytics · 2026 · Crossref

Source (opens in a new tab)

And 29 more candidates considered.