Evidence map›Paper›PMID 20091093›Full record

ArticleEuropean journal of epidemiology2010

Weight change over five-year periods and number of components of the metabolic syndrome in a Dutch cohort.

M Bot, A M W Spijkerman, J W R Twisk, W M M Verschuren

Abstract read
In one paragraph

Article in European journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  10. The Generation R Study: design and cohort update 2012.European journal of epidemiology · 2012
    Article
  11. The Rotterdam Study: 2012 objectives and design update.European journal of epidemiology · 2011
    Article
  12. 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

4 authors.

M BotCentre for Prevention and Health Services Research, National Institute for Public Health and the Environment, Bilthoven, The Netherlands. m.bot@uvt.nl
A M W Spijkerman
J W R Twisk
W M M Verschuren

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overweight and obesity are associated with the metabolic syndrome (MetS). We studied the association of weight change over three consecutive 5-year periods with the number of MetS components in people aged 20-59 years. 5735 participants from the Doetinchem Cohort Study were included. Weight was measured in round 1 and at each 5-year interval follow-up (round 2, 3 and 4). Weight change was defined as the absolute weight change between two consecutive measurements. The number of MetS components (assessed in round 2, 3 and 4) was based on the presence of the following components of the MetS: central obesity, raised blood pressure, reduced high density lipoprotein cholesterol and elevated glucose. Associations of weight change and the number of components of the MetS were analyzed with Generalized Estimating Equations for Poisson regression, stratified for 10-year age groups. For each age group, 1 kg weight gain was positively associated with the number of components of the MetS, independent of sex and measurement round. The association was stronger in 30-39 years (adjusted rate ratio: 1.044; 95%CI: 1.040-1.049) and smaller in older age groups. Compared to stable weight (>-2.5 kg and < 2.5 kg), weight loss (< or = -2.5 kg) and weight gain (> or =2.5 kg) was associated with a lower and higher rate ratio respectively, for the number of components of the MetS. Our results support the independent association of weight change with the number of MetS components with a more pronounced association in younger people.

Indexed as

Weight GainAdultAge DistributionBody Mass IndexCohort StudiesFemaleHumansLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedNetherlandsOverweightRegistriesRegression AnalysisRisk Factors

Identifiers

PMID20091093
PMCPMC2821620

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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.