Evidence map›Paper›PMID 16373378›Full record

ArticleInternational journal of epidemiology2006

Weight change and changes in the metabolic syndrome as the French population moves towards overweight: the D.E.S.I.R. cohort.

T A Hillier, A Fagot-Campagna, E Eschwège, S Vol, M Cailleau, B Balkau, D.E.S.I.R. Study group

Open access · greenAbstract read
In one paragraph

Article in International journal of epidemiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

22 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
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  9. Fish consumption is inversely associated with the metabolic syndrome.European journal of clinical nutrition · 2014
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  14. Metabolic syndrome in the Middle East.Indian journal of endocrinology and metabolism · 2012
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  16. Review
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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

7 authors at 1 institution in 1 country.

T A HillierInstitut National de la Santé et de la Recherche Médicale U258, Villejuif, France.
A Fagot-Campagna
E Eschwège
S Vol
M Cailleau
B Balkau
D.E.S.I.R. Study group
UC-Institut inter Régional pour la SAnté · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHow weight change affects the metabolic syndrome (MS) and its parameters is unknown, particularly, in a leaner European population such as the French prospective D.E.S.I.R. cohort.

methodsIn 3770 D.E.S.I.R. participants (sex ratio=1) averaging 47.5 years (range 30-64), with measured weight and MS parameters at baseline (D0) and at 6 year follow-up (D6), we assessed this relationship across five weight-change classes, using stable weight as the referent group (-2 to +2 kg). We used analysis-of-covariance to assess changes in each MS parameter and logistic regression to assess incident MS, according to the National Cholesterol Education Program (NCEP). We also assessed weight-change effect on MS status between D0 and D6.

resultsAt D0, average weight was 68.4 kg (SD 12.3); BMI was 24.8 kg/m2 (SD 3.5). From D0-D6, the cohort gained a mean 2.1 kg (median 2.0; SD 4.4). After adjustment for age and D0 weight, there was a strong linear relationship with weight change and worsening of the following MS parameters at D6: fasting insulin, waist girth, fasting glucose, fasting triglycerides, HDL cholesterol, and systolic and diastolic blood pressure (P<0.0001). After age adjustment, for every kilogram gained over 6 years, risk of developing the NCEP Syndrome increased 22% (OR 1.22; 95% CI 1.18-1.25). NCEP-MS was incident in 3% of those with stable weight compared with 21% among those gaining >9 kg; 10% of those who lost >2 kg reverted to non-NCEP-MS.

conclusionsAll continuous MS measures are linearly related to weight change, and MS can resolve with modest weight loss, underscoring the importance of maintaining lifelong normal weight.

Indexed as

AdultBlood GlucoseBlood PressureBody CompositionCholesterol, HDLEpidemiologic MethodsFemaleFranceHealth SurveysHumansInsulinMaleMetabolic SyndromeMiddle AgedOverweightTriglyceridesBlood GlucoseCholesterol, HDLInsulinTriglycerides

Identifiers

PMID16373378
PMCPMC2062519
OpenAlexW2129134265

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.