Evidence map›Paper›PMID 30089442›Full record

ArticleJournal of health communication2018

Awareness of Health Outcomes Associated with Insufficient Physical Activity and Associations with Physical Activity Intentions and Behavior.

Erika A Waters, Emily Hawkins

Abstract read
In one paragraph

Article in Journal of health communication, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

2 authors.

Erika A Watersa Department of Surgery , Washington University in St. Louis , Saint Louis , MO, USA.ORCID 0000-0001-7402-0133
Emily Hawkinsa Department of Surgery , Washington University in St. Louis , Saint Louis , MO, USA.

Funding

COMMUNICATING MULTIPLE DISEASE RISKS: A TRANSLATION OF RISK PREDICTION SCIENCER01CA190391 · NCI · WASHINGTON UNIVERSITY · PI WATERS, ERIKA A · 2015 to 2018
$1.4M
NCI NIH HHS R01 CA190391
6 · The paper itself

Abstract

introductionLittle is known about people's awareness of the link between insufficient physical activity and increased risk for multiple health outcomes.

methodsOf 1161 respondents to an online cross-sectional survey of the US population, we randomly selected 361 and used content analysis to code up to three responses to an open-ended question asking what illnesses are caused by insufficient physical activity. Chi-square and Fisher's exact tests examined relations between disease codes and socio-demographics; t-tests and Mann-Whitney U tests examined relations between codes and physical activity intentions and behavior.

resultsTen codes emerged: cardiovascular (63.5% of participants), metabolic (65.8%), musculoskeletal (10.5%), fatigue (2.0%), psychiatric (8.0%), respiratory (3.4%), gastrointestinal (0.9%), cancer (3.4%), other (2.8%), unexpected interpretation (1.4%). 55.6% of participants named < 3 diseases. Code frequencies were generally similar across demographic groups, ps > .05. Physical activity intentions and behavior were higher among people who either mentioned cardiovascular (p

conclusionIn our socio-demographically diverse sample, awareness of diseases that are associated with insufficient physical activity was largely related to cardiovascular and metabolic problems. Future health communication efforts should raise awareness of the harms of insufficient physical activity for cancer and other diseases.

Indexed as

AwarenessIntentionAdultAgedCross-Sectional StudiesDiseaseExerciseFemaleHealth BehaviorHumansMaleMiddle AgedRisk FactorsRisk Reduction BehaviorSedentary BehaviorSurveys and Questionnaires

Identifiers

PMID30089442
PMCPMC6295202

What OpenQuestion holds

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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.