Evidence map›Paper›PMID 32153837›Full record

ArticleBMC nutrition2017

Assessment of sugar-sweetened beverage consumption and weight change: a prospective cohort study.

Patrick Mullie, Philippe Autier, Mathieu Boniol, Peter Boyle, Benedicte Deforche, Evelien Mertens, Ruben Charlier, Sara Knaeps, Johan Lefevre, Peter Clarys

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Article in BMC nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Patrick Mullie1International Prevention Research Institute, 95 Cours Lafayette, 69006 Lyon, France.ORCID 0000-0001-5592-3169
Philippe Autier1International Prevention Research Institute, 95 Cours Lafayette, 69006 Lyon, France.
Mathieu Boniol1International Prevention Research Institute, 95 Cours Lafayette, 69006 Lyon, France.
Peter Boyle1International Prevention Research Institute, 95 Cours Lafayette, 69006 Lyon, France.
Benedicte Deforche2Department of Human Biometrics and Biomechanics, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Evelien Mertens2Department of Human Biometrics and Biomechanics, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.
Ruben Charlier6Department of Kinesiology, KU Leuven, Faculty of Kinesiology and Rehabilitation Sciences, Tervuursevest 101, 3001 Leuven, Belgium.
Sara Knaeps6Department of Kinesiology, KU Leuven, Faculty of Kinesiology and Rehabilitation Sciences, Tervuursevest 101, 3001 Leuven, Belgium.
Johan Lefevre6Department of Kinesiology, KU Leuven, Faculty of Kinesiology and Rehabilitation Sciences, Tervuursevest 101, 3001 Leuven, Belgium.
Peter Clarys2Department of Human Biometrics and Biomechanics, Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn prospective studies, sugar-sweetened beverages (SSB) have been associated with weight increase. However, most prospective studies examine changes in body weight over time according to amounts of SSB intake at baseline, generally without considering changes over time in SSB, energy intake and physical activity. The objective of the present study was to examine how SSB intakes influence changes in weight, according to the way SSB intakes are analysed.

methodsFor a prospective cohort study with two nutritional assessments in time, 46 Flemish municipalities were selected by clustered random sampling. Within these municipalities, a random sample of men and women between 18 and 75 years of age was selected and invited to participate. In total, 562 middle-aged Belgian adults were tested in 2002 and 2012 for the same anthropometric, lifestyle, nutrition and physical activity parameters. The main outcome measured were weight changes from 2002 to 2012 were analysed according to various ways to parametrise SSB intakes in 2002 and changes in SSB, energy intake, and physical activity from 2002 to 2012.

resultsIn a multivariable model including age, sex, the best predictors of weight changes were the weight at baseline (

conclusionsResults of prospective studies on SSB intake and body weight depend much on the way SSB intakes are analysed, and on the inclusion of changes in energy intake and physical activity in analyses.

Indexed as

Nutritional assessmentObesitySugar-sweetened beveragesWeight gain

Identifiers

PMID32153837
PMCPMC7050833

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