Evidence map›Paper›PMID 23211348›Full record

ReviewEpidemiology (Cambridge, Mass.)2013

Modeling obesity histories in cohort analyses of health and mortality.

Samuel H Preston, Neil K Mehta, Andrew Stokes

Abstract readEvaluation StudyReview
In one paragraph

Review in Epidemiology (Cambridge, Mass.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Pooled it
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  8. Trends in Memory Function and Memory Impairment Among Older Adults in the United States and Europe, 1996-2018.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

3 authors.

Samuel H PrestonPopulation Studies Center, University of Pennsylvania, Philadelphia, PA 19103, USA. spreston@sas.upenn.edu
Neil K Mehta
Andrew Stokes

Funding

GRADUATE TRAINING IN DEMOGRAPHYT32HD007242 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI MICHEL GUILLOT · 1985 to 2026
$6.6M
The Contribution of Obesity to International Differences in LongevityR01AG040212 · NIA · UNIVERSITY OF PENNSYLVANIA · PI PRESTON, SAMUEL H · 2011 to 2015
$1.7M
DEMOGRAPHY OF AGINGT32AG000177 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER, PRESTON, SAMUEL H · 1989 to 2012
$1.5M
NIA NIH HHS R01 AG040212NIA NIH HHS R01AG040212NIA NIH HHS T32 AG000177NICHD NIH HHS T32 HD007242
6 · The paper itself

Abstract

There is great interest in understanding the role of weight dynamics over the life cycle in predicting the incidence of disease and death. Beginning with a Medline search, we identify, classify, and evaluate the major approaches that have been used to study these dynamics. We identify four types of models: additive models, duration-of-obesity models, additive-weight-change models, and interactive models. We develop a framework that integrates the major approaches and shows that they are often nested in one another, a property that facilitates statistical comparisons. Our criteria for evaluating models are two-fold: the model's interpretability and its ability to account for observed variation in health outcomes. We apply two sets of nested models to data on adults age 50-74 years at baseline in two national probability samples drawn from National Health and Nutrition Examination Survey. One set of models treats obesity as a dichotomous variable and the other treats it as a continuous variable. In three of four applications, a fully interactive model does not add significant explanatory power to the simple additive model. In all four applications, little explanatory power is lost by simplifying the additive model to a duration model in which the coefficients of weight at different ages are set equal to one another. Other versions of a duration-of-obesity model also perform well, underscoring the importance of obesity at early adult ages for mortality at older ages.

Indexed as

Models, BiologicalModels, StatisticalAgedAge FactorsBody Mass IndexFollow-Up StudiesHealth StatusHumansMiddle AgedNutrition SurveysObesityRetrospective StudiesTime FactorsUnited States

Identifiers

PMID23211348
PMCPMC3870658

What OpenQuestion holds

Textmetadata
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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.