Evidence map›Paper›PMID 24067048›Full record

ArticleBMC public health2013

Age-period-cohort analysis for trends in body mass index in Ireland.

Tao Jiang, Mark S Gilthorpe, Frances Shiely, Janas M Harrington, Ivan J Perry, Cecily C Kelleher, Yu-Kang Tu

Abstract read
In one paragraph

Article in BMC public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  14. Trends of Esophageal Cancer Mortality in Rural China from 1989 to 2013: An Age-Period-Cohort Analysis.International journal of environmental research and public health · 2017
    Article
  15. Article
  16. Article
  17. Nutrition Promotion to Prevent Obesity in Young Adults.Healthcare (Basel, Switzerland) · 2015
    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.

Tao JiangDivision of Epidemiology & Biostatistics, School of Medicine, University of Leeds, Room 8,49, Level 8, Worsley Building, Leeds LS2 9JT, UK. mt10tj@leeds.ac.uk.
Mark S Gilthorpe
Frances Shiely
Janas M Harrington
Ivan J Perry
Cecily C Kelleher
Yu-Kang Tu

Funding

Medical Research Council G1000726
6 · The paper itself

Abstract

backgroundObesity is a growing problem worldwide and can often result in a variety of negative health outcomes. In this study we aim to apply partial least squares (PLS) methodology to estimate the separate effects of age, period and cohort on the trends in obesity as measured by body mass index (BMI).

methodsUsing PLS we will obtain gender specific linear effects of age, period and cohort on obesity. We also explore and model nonlinear relationships of BMI with age, period and cohort. We analysed the results from 7,796 men and 10,220 women collected through the SLAN (Surveys of Lifestyle, attitudes and Nutrition) in Ireland in the years 1998, 2002 and 2007.

resultsPLS analysis revealed a positive period effect over the years. Additionally, men born later tended to have lower BMI (-0.026 kg · m(-2) yr(-1), 95% CI: -0.030 to -0.024) and older men had in general higher BMI (0.029 kg · m(-2) yr(-1), 95% CI: 0.026 to 0.033). Similarly for women, those born later had lower BMI (-0.025 kg · m(-2) yr(-1), 95% CI: -0.029 to -0.022) and older women in general had higher BMI (0.029 kg · m(-2) yr(-1), 95% CI: 0.025 to 0.033). Nonlinear analyses revealed that BMI has a substantial curvilinear relationship with age, though less so with birth cohort.

conclusionWe notice a generally positive age and period effect but a slightly negative cohort effect. Knowing this, we have a better understanding of the different risk groups which allows for effective public intervention measures to be designed and targeted for these specific population subgroups.

Indexed as

Body Mass IndexAdultCohort StudiesFemaleHumansIrelandLife StyleMaleMiddle AgedObesity

Identifiers

PMID24067048
PMCPMC3852547

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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.