Evidence map›Paper›PMID 30891487›Full record

ArticleSSM - population health2019

Would the elimination of obesity and smoking reduce U.S. racial/ethnic/nativity disparities in total and healthy life expectancy?

Michelle L Frisco, Jennifer Van Hook, Robert A Hummer

Abstract read
In one paragraph

Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
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  8. 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

3 authors.

Michelle L FriscoPenn State University, United States.
Jennifer Van HookPenn State University, United States.
Robert A HummerUniversity of North Carolina, Chapel Hill, United States.

Funding

The Population Research Institute: Development CoreP2CHD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI Sarah Damaske · 2016 to 2026
$9.0M
6 · The paper itself

Abstract

Obesity and smoking are the two leading causes of preventable death and disability in the United States. Both of these health risks are socially patterned in ways that likely produce racial/ethnic/nativity disparities in total and healthy life expectancy. The current study simulates the extent to which the hypothetical elimination of smoking and obesity would change disparities in longevity and disability by analyzing data from 19,574 U.S.-born white, black, Hispanic and foreign-born Hispanic men and women in the 1999-2000 through 2009-2010 National Health and Nutrition Examination Survey and linked mortality files. Results suggest that the elimination of both obesity and smoking would significantly narrow disparities in total and healthy life expectancy between black and white adults and remaining differences are statistically non-significant. The longstanding life expectancy advantage of Hispanic immigrants over whites is reduced, but remains large. The life expectancy advantage of U.S.-born Hispanics is reduced as well, though to a smaller extent than what is observed for Hispanic immigrants. There were no significant observed healthy life expectancy differences between white and U.S.-born Hispanic adults. Overall study results suggest that the elimination of obesity and smoking would change the shape of racial/ethnic/nativity disparities in ways that would result in greater health equity.

Indexed as

Epidemiological paradoxHealthy life expectancyMortalityObesityRacial disparitiesSmoking

Identifiers

PMID30891487
PMCPMC6403436

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.