Evidence map›Paper›PMID 30815334›Full record

ArticlePreventive medicine reports2019

Screening for unhealthy diet and exercise habits: The electronic health record and a healthier population.

Heidi Sara Powell, Deborah Lynn Greenberg

Abstract read
In one paragraph

Article in Preventive medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Formation and Validation of the Healthy Diet Index (HDI) for Evaluation of Diet Quality in Healthcare.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

2 authors.

Heidi Sara PowellGeneral Internal Medicine Center, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA.
Deborah Lynn GreenbergGeneral Internal Medicine Center, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The US spends more money than any other country in the world on health care but does not have the best health outcomes. Most healthcare dollars are spent on treatment of preventable chronic conditions including heart disease, hypertension, diabetes, hypertension, and obesity. Many recent studies have shown that a poor diet and low cardiorespiratory fitness are associated with significant morbidity and an increased risk of all-cause mortality. There is evidence that those with higher cardiorespiratory fitness have lower annual healthcare costs. Despite continued research on the essential role of diet and exercise in optimal health, these vital health behaviors have been slow to change in the US population and do not receive adequate attention. We propose more objective screening, visible and monitored in the Electronic Health Record, to improve awareness, help educate patients, and monitor their progress over time. It would also help identify those individuals that would benefit from referral to interventional behavioral resources in the clinic and community. With an increased focus on preventive and population health measures, now is an ideal time to include both exercise and diet in health metrics. A few relatively simple changes could prompt providers to assess and educate patients about nutrition and fitness and promote a healthier population.

Indexed as

Cardiorespiratory fitnessDietElectronic health recordExerciseHealth metricsPopulation healthScreening

Identifiers

PMID30815334
PMCPMC6377403

What OpenQuestion holds

Textmetadata
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.