Evidence map›Paper›PMID 25419171›Full record

ArticleDemographic research2014

Factors responsible for mortality variation in the United States: A latent variable analysis.

Christopher Tencza, Andrew Stokes, Samuel Preston

Abstract read
In one paragraph

Article in Demographic research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Christopher TenczaUniversity of Pennsylvania, U.S.A.
Andrew StokesUniversity of Pennsylvania, U.S.A.
Samuel PrestonUniversity of Pennsylvania, U.S.A.

Funding

STATISTICAL DATA ENCLAVE COREP30AG012836 · NIA · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 1999 to 2024
$14.0M
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 P30 AG012836NIA NIH HHS R01 AG040212NIA NIH HHS T32 AG000177
6 · The paper itself

Abstract

backgroundFactors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is disputed in the literature, and has been assessed through a number of methods.

objectiveThis paper uses a novel approach to identify factors responsible for interstate mortality variation. It identifies factors through their imprint on mortality patterns and can therefore identify factors that are difficult or impossible to measure directly, such as sensitive health behaviors.

methodsThe analysis calculates age-standardized death rates by cause of death from 2000-2009 for white men and women separately. Only premature deaths between ages 20-64 are included. Latent variables responsible for mortality variation are then identified through a factor analysis conducted on a death-rate-by-state matrix. These unobserved latent variables are inferred from observed mortality data and interpreted based on their correlations with individual causes of death.

resultsSmoking and obesity, substance abuse, and rural/urban residence are the three factors that make the largest contributions to state-level mortality variation among males. The same factors are at work for women but are less vividly revealed. The identification of factors is supported by a review of epidemiologic studies and strengthened by correlations with observable behavioral variables. Results are not sensitive to the choice of factor-analytic method used.

conclusionsThe majority of interstate variation in mortality among white working-age adults in the United States is associated with a combination of smoking and obesity, substance abuse and rural/urban residence.

Identifiers

PMID25419171
PMCPMC4238308

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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.