Evidence map›Paper›PMID 27930587›Full record

Observational studyMedicine2016

Body mass trajectories, diabetes mellitus, and mortality in a large cohort of Austrian adults.

Raphael Simon Peter, Ferdinand Keller, Jochen Klenk, Hans Concin, Gabriele Nagel

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  10. BMI trajectory and subsequent risk of type 2 diabetes among middle-aged women.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2021
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  18. ADMA and NT pro-BNP are associated with overall mortality in elderly.European journal of clinical investigation · 2019
    Observational
  19. 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

5 authors.

Raphael Simon PeterInstitute of Epidemiology and Medical Biometry, Ulm University Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Ulm, Ulm Department of Geriatrics and Geriatric Rehabilitation, Robert-Bosch-Hospital, Stuttgart, Germany Agency for Preventive and Social Medicine, Bregenz, Austria.
Ferdinand Keller
Jochen Klenk
Hans Concin
Gabriele Nagel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are only few studies on latent trajectories of body mass index (BMI) and their association with diabetes incidence and mortality in adults.We used data of the Vorarlberg Health Monitoring & Prevention Program and included individuals (N=24,875) with BMI measurements over a 12-year period. Trajectory classes were identified using growth mixture modeling for predefined age groups (<50, 50-65, >65 years of age) and men, women separately. Poisson models were applied to estimate incidence and prevalence of diabetes for each trajectory class. Relative all-cause mortality and diabetes-related mortality was estimated using Cox proportional hazard regression.We identified 4 trajectory classes for the age groups <50 years and 50 to 65 years, and 3 for age groups >65 years. For all age groups, a stable BMI trajectory class was the largest, with about 90% of men and 70% to 80% of women. For the low stable BMI classes, the corresponding fasting glucose levels were the lowest. The highest diabetes prevalences were observed for decreasing trajectories. During subsequent follow-up of mean 8.1 (SD 2.0) years, 2741 individuals died. For men <50 years, highest mortality was observed for steady weight gainers. For all other age-sex groups, mortality was the highest for decreasing trajectories.We found considerably heterogeneity in BMI trajectories by sex and age. Stable weight, however, was the largest class over all age and sex groups, and was associated with the lowest diabetes incidence and mortality suggesting that maintaining weight at a moderate level is an important public health goal.

Indexed as

Body Mass IndexAdultAge FactorsAustriaBody WeightCohort StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedObesityPredictive Value of TestsPrevalenceProportional Hazards ModelsRetrospective Studies

Identifiers

PMID27930587
PMCPMC5266059

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.