Evidence map›Paper›PMID 33447771›Full record

ArticleInternational Journal of Cardiology. Hypertension2020

Body weight variability is not associated with changes in risk factors for cardiometabolic disease.

Jake Turicchi, Ruairi O'Driscoll, Graham Horgan, Cristiana Duarte, Inês Santos, Jorge Encantado, Antonio L Palmeira, Sofus C Larsen, Jack K Olsen, Berit L Heitmann and 1 more

Abstract read
In one paragraph

Article in International Journal of Cardiology. Hypertension, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

11 authors.

Jake TuricchiAppetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, UK.
Ruairi O'DriscollAppetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, UK.
Graham HorganBiomathematics & Statistics Scotland, Aberdeen, UK.
Cristiana DuarteAppetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, UK.
Inês SantosFaculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Jorge EncantadoFaculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Antonio L PalmeiraFaculdade de Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Sofus C LarsenResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
Jack K OlsenResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
Berit L HeitmannResearch Unit for Dietary Studies, The Parker Institute, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
R James StubbsAppetite Control and Energy Balance Group, School of Psychology, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextWeight loss is known to improve health, however the influence of variability in body weight around the overall trajectory on these outcomes is unknown. Few studies have measured body weight frequently enough to accurately estimate the variability component.

objectiveTo investigate the association of 12-month weight variability and concurrent weight change with changes in health markers and body composition.

methodsThis study was a secondary analysis of the NoHoW trial, a 2 × 2 factorial randomised controlled trial promoting evidence-based behaviour change for weight loss maintenance. Outcome measurements related to cardiometabolic health and body composition were taken at 0, 6 and 12 months. Participants were provided with Wi-Fi connected smart scales (Fitbit Aria 2) and asked to self-weigh regularly over this period. Associations of weight variability and weight change with change in outcomes were investigated using multiple linear regression with multiple levels of adjustment in 955 participants.

resultsTwelve models were generated for each health marker. Associations between weight variability and changes in health markers were inconsistent between models and showed no evidence of a consistent relationship, with all effects explaining <1% of the outcome, and most 0%. Weight loss was consistently associated with improvements in health and body composition, with the greatest effects seen in percent body fat (R

conclusionOver 12-months, weight variability was not consistently associated with any measure of cardiometabolic health or body composition, however weight loss consistently improved all outcomes. TRIAL REGISTRATION NUMBER: ISRCTN88405328.

Indexed as

Cardiometabolic diseaseWeight cyclingWeight variability

Identifiers

PMID33447771
PMCPMC7803052

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Registered trials

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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.