Evidence map›Paper›PMID 29541643›Full record

ArticleJournal of diabetes research2018

Low Birth Weight, Cumulative Obesity Dose, and the Risk of Incident Type 2 Diabetes.

Cindy Feng, Nathaniel D Osgood, Roland F Dyck

Abstract read
In one paragraph

Article in Journal of diabetes research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
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  5. Article
  6. Transgenerational Inheritance and Systemic Racism in America.Psychiatric research and clinical practice · 2023
    Review
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  12. Observational
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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

3 authors.

Cindy FengSchool of Public Health, University of Saskatchewan, Saskatoon, SK, Canada.
Nathaniel D OsgoodDepartment of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada.
Roland F DyckDepartment of Medicine, Canadian Centre for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, SK, Canada.ORCID 0000-0002-5435-0538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity history may provide a better understanding of the contribution of obesity to T2DM risk.

methods17,634 participants from the 1958 National Child Development Study were followed from birth to 50 years. Cumulative obesity dose, a measure of obesity history, was calculated by subtracting the upper cut-off of the normal BMI from the actual BMI at each follow-up and summing the areas under the obesity dose curve. Hazard ratios (HRs) for diabetes were calculated using Cox regression analysis. Three separate models compared the predictive ability of cumulative obesity dose on diabetes risk with the time-varying BMI and last BMI.

resultsIn final models, 341 of 15,043 (2.27%) participants developed diabetes; male sex and low birth weight were significant confounding variables. Adjusted HRs were 1.080 (95% CI: 1.071, 1.088) per 10-unit cumulative obesity dose, 1.098 (95% CI: 1.080, 1.117) per unit of the time-varying BMI, and 1.146 (95% CI: 1.084, 1.212) per unit of the last BMI. Cumulative obesity dose provided the best predictive ability for diabetes.

conclusionsCumulative obesity dose is an improved method for evaluating the impact of obesity history on diabetes risk. The link between low birth weight and T2DM is strengthened by adjusting for cumulative obesity dose.

Indexed as

Infant, Low Birth WeightAdolescentAdultBirth WeightBody WeightCanadaChildChild, PreschoolDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansIncidenceInfantInfant, NewbornMale

Identifiers

PMID29541643
PMCPMC5818910

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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.