Evidence map›Paper›PMID 20823689›Full record

ArticleObesity facts2010

Influence of lifestyle aspects on the association of body size and shape with all-cause mortality in middle-aged men and women.

Janne Bigaard, Jane Christensen, Anne Tjønneland, Birthe Lykke Thomsen, Kim Overvad, Thorkild I A Sørensen

Abstract read
In one paragraph

Article in Obesity facts, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Educational attainment and obesity: a systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2013
    Pooled it
  2. Article
  3. 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

6 authors.

Janne BigaardInstitute of Cancer Epidemiology, The Danish Cancer Society, Copenhagen, Denmark. j.bigaard@dadlnet.dk
Jane Christensen
Anne Tjønneland
Birthe Lykke Thomsen
Kim Overvad
Thorkild I A Sørensen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWaist circumference, BMI and hip circumference are differentially associated with mortality. We investigated the potential influence of selected lifestyle aspects such as smoking, alcohol intake, sports activity and education.

methodThe Danish prospective study 'Diet, Cancer and Health' recruited 27,179 men and 29,875 women from 1993 to 1997. Cox regression models were used to estimate mortality rate ratios.

resultsAdjustment for smoking habits attenuated the associations between mortality and the three body size measurements in both sexes. Adjustment for sport activity and, to a lesser extent, alcohol intake weakened the associations further for the men, whereas alcohol intake slightly weakened associations for the women. In the fully adjusted models, mortality increased highly significantly with higher waist circumference and lower hip circumference, and decreased highly significantly with higher BMI for BMI below 25 kg/m(2). This pattern was seen for all levels of the selected lifestyle factor.

conclusionA large waist circumference remained a strong risk indicator for mortality, and a large hip circumference appeared to be protective when smoking habits, alcohol intake and sport activity were accounted for. BMI below 25 kg/m(2) remained a risk factor, but not above 25 kg/m(2) once waist circumference was adjusted for.

Indexed as

Body Mass IndexBody SizeLife StyleAlcohol DrinkingDenmarkEducational StatusFemaleHumansMaleMiddle AgedObesityRisk FactorsSmokingSportsWaist CircumferenceWaist-Hip Ratio

Identifiers

PMID20823689
PMCPMC6452161

What OpenQuestion holds

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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.