Evidence map›Paper›PMID 29868930›Full record

ArticleInternational journal of public health2018

Past trends in obesity-attributable mortality in eight European countries: an application of age-period-cohort analysis.

Nikoletta Vidra, Maarten J Bijlsma, Sergi Trias-Llimós, Fanny Janssen

Abstract read
In one paragraph

Article in International journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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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

4 authors.

Nikoletta VidraPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands. n.vidra@rug.nl.
Maarten J BijlsmaMax Planck Institute for Demographic Research, Rostock, Germany.
Sergi Trias-LlimósPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands.
Fanny JanssenPopulation Research Centre, Faculty of Spatial Sciences, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 452-13-001
6 · The paper itself

Abstract

objectivesTo assess age, period, and birth cohort effects and patterns of obesity-attributable mortality in Czech Republic, Finland, France, Germany, Hungary, Italy, Poland, and the UK (UK).

methodsWe obtained obesity prevalence and all-cause mortality data by age (20-79), sex and country for 1990-2012. We applied Clayton and Schifflers' age-period-cohort approach to obesity-attributable mortality rates (OAMRs).

resultsBetween 1990 and 2012, obesity prevalence increased and age-standardised OAMRs declined, although not uniformly. The nonlinear birth cohort effects contributed significantly (p < 0.01) to obesity-attributable mortality trends in all populations, except in Czech Republic, Finland, and among German women, and Polish men. Their contribution was greater than 25% in UK and among French women, and larger than that of the nonlinear period effects. In the UK, mortality rate ratios (MRRs) increased among the cohorts born after 1950. In other populations with significant birth cohort effects, MRRs increased among the 1935-1960 cohorts and decreased thereafter.

conclusionsGiven its potential effects on obesity-attributable mortality, the cohort dimension should not be ignored and calls for interventions early in life next to actions targeting broader societal changes.

Indexed as

AdultAgedCohort StudiesEuropeFemaleHumansMaleMiddle AgedMortalityObesityYoung AdultAPC analysisBirth cohortEuropeMortalityObesity

Identifiers

PMID29868930
PMCPMC6015618

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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.