Evidence map›Paper›PMID 30079383›Full record

ArticleResearch in health science2018

Data Talks: Obesity-Related Influences on US Mortality Rates.

Malcolm J D'Souza, Riza C Bautista, Derald E Wentzien

Open access · diamondAbstract read
In one paragraph

Article in Research in health science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Observational
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  7. Evidence Base Update on Behavioral Treatments for Overweight and Obesity in Children and Adolescents.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53 · 2023
    Review
  8. Article
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  12. Frequency and prevalence of obesity and related comorbidities in West Texas.Proceedings (Baylor University. Medical Center) · 2020
    Article
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  14. Article
  15. Undergraduate Research, Data-Science Courses, and Volunteer Projects, Inform and Accelerate Wesley College's Retention Among First- and Second- Year Students.Proceedings of the ... National Conference on Undergraduate Research. National Conference on Undergraduate Research · 2019
    Article
  16. Data-intensive Undergraduate Research Project Informs to Advance Healthcare Analytics.... IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE Signal Processing in Medicine and Biology Symposium · 2018
    Article
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 at 1 institution in 1 country.

Malcolm J D'SouzaUndergraduate Research Center for Analytics, Talent, and Success, Wesley College, Delaware, USA.
Riza C BautistaUndergraduate Research Center for Analytics, Talent, and Success, Wesley College, Delaware, USA.
Derald E WentzienUndergraduate Research Center for Analytics, Talent, and Success, Wesley College, Delaware, USA.
Wesley College · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

backgroundIn the US, obesity is an epidemiologic challenge and the population fails to comprehend this complex public health issue. To evaluate underlying obesity-impact patterns on mortality rates, we data-mined the 1999-2016 Center for Disease Control WONDER database's vital records.

methodsAdopting SAS programming, we scrutinized the mortality and population counts. Using ICD-10 diagnosis codes connected to overweight and obesity, we obtained the obesity-related crude and age-adjusted causes of death. To understand divergent and prevalence trends we compared and contrasted the tabulated obesity-influenced mortality rates with demographic information, gender, and age-related data. KEY

resultsFrom 1999 to 2016, the obesity-related age-adjusted mortality rates increased by 142%. The ICD-10 overweight and obesity-related death-certificate coding showed clear evidence that obesity factored in the male age-adjusted mortality rate increment to 173% and the corresponding female rate to 117%. It also disproportionately affected the nation-wide minority population death rates. Furthermore, excess weight distributions are coded as contributing features in the crude death rates for all decennial age-groups.

conclusionsThe 1999-2016 data from ICD-10 death certificate coding for obesity-related conditions indicate that it is affecting all segments of the US population.

Indexed as

ICD-10mortality ratesobesityoverweight

Identifiers

PMID30079383
PMCPMC6070145
OpenAlexW2809418523

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.