Evidence map›Paper›PMID 37129091›Full record

ArticlePublic health nutrition2023

Ultra-processed food consumption and obesity indicators in individuals with and without type 1 diabetes mellitus: a longitudinal analysis of the prospective Coronary Artery Calcification in Type 1 Diabetes (CACTI) cohort study.

Tiantian Pang, Heewon L Gray, Amy C Alman, Acadia W Buro, Arpita Basu, Shi Lu, Janet K Snell-Bergeon

Open access · goldAbstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. The role of ultra-processed food in obesity.Nature reviews. Endocrinology · 2025
    Review
  3. The emergence of obesity in type 1 diabetes.International journal of obesity (2005) · 2024
    Review
  4. Review
  5. 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

7 authors at 5 institutions in 1 country.

Tiantian PangCollege of Public Health, University of South Florida, Tampa, FL33612, USA.ORCID 0000-0002-0749-1450
Heewon L GrayCollege of Public Health, University of South Florida, Tampa, FL33612, USA.
Amy C AlmanCollege of Public Health, University of South Florida, Tampa, FL33612, USA.
Acadia W BuroMoffitt Cancer Center, Tampa, FL, USA.
Arpita BasuDepartment of Kinesiology and Nutrition Sciences, University of Nevada at Las Vegas, Las Vegas, NV, USA.
Shi LuCollege of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
Janet K Snell-BergeonBarbara Davis Center for Diabetes, University of Colorado Denver, Aurora, CO, USA.
University of South Florida · USMoffitt Cancer Center · USOregon State University · USUniversity of Colorado Denver · USUniversity of Nevada, Las Vegas · US

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI PETER J DEMPSEY · 2020 to 2026
$10.8M
Complications and Comorbidities of Type 1 DiabetesR01HL113029 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SNELL-BERGEON, JANET KATHLEEN · 2013 to 2016
$2.9M
Determinants of Accelerated CVD in Type 1 DiabetesR01HL079611 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J. · 2004 to 2007
$2.3M
NHLBI NIH HHS R01 HL079611NHLBI NIH HHS R01 HL113029NIDDK NIH HHS P30 DK116073
6 · The paper itself

Abstract

objectiveTo evaluate the associations of ultra-processed food (UPF) consumption and obesity indicators among individuals with and without type 1 diabetes mellitus (T1DM) from the Coronary Artery Calcification in Type 1 Diabetes cohort study.

designA secondary analysis. The consumption of UPF was assessed using the dietary data collected with the Harvard FFQ, and each food item was categorised according to the NOVA food processing classification. Height, weight and waist circumference were measured at baseline and after a mean of 14·6-year follow-up. Generalised estimating equations stratified by diabetes status were used to assess the associations between UPF intake and obesity indicators over 14 years of follow-up.

settingUSA.

participantsA total of 600 adults (256 T1DM and 344 non-diabetic controls) aged 39 ± 9·1 years at baseline and followed up for over 14 years were included.

resultsParticipants with T1DM consumed significantly more UPF than non-diabetic controls at baseline: 7·6 ± 3·8

conclusionsIndividuals with T1DM may consume more UPF than non-diabetic controls. Positive associations between UPF consumption and obesity indicators suggest that limiting UPF can be recommended for obesity prevention and management. Further research is needed to confirm these findings.

Indexed as

CactaceaeDiabetes Mellitus, Type 1AdultCohort StudiesCoronary VesselsDietEnergy IntakeFast FoodsFood HandlingFood, ProcessedHumansObesityProspective Studiescohort studiesobesityoverweighttype 1 diabetesUltra-processed foodwaist circumferenceweight gain

Identifiers

PMID37129091
PMCPMC10410376
OpenAlexW4367668561

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.