Evidence map›Paper›PMID 34673750›Full record

ArticleMMWR. Morbidity and mortality weekly report2021

Self-Management Education Class Attendance and Health Care Provider Counseling for Physical Activity Among Adults with Arthritis - United States, 2019.

Lindsey M Duca, Charles G Helmick, Kamil E Barbour, Dana Guglielmo, Louise B Murphy, Michael A Boring, Kristina A Theis, Erica L Odom, Yong Liu, Janet B Croft

Open access · diamondAbstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2021. 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
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors.

Lindsey M Duca
Charles G Helmick
Kamil E Barbour
Dana Guglielmo
Louise B Murphy
Michael A Boring
Kristina A Theis
Erica L Odom
Yong Liu
Janet B Croft

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arthritis is a highly prevalent and disabling condition among U.S. adults (1); arthritis-attributable functional limitations and severe joint pain affect many aspects of health and quality of life (2). Self-management education (self-management) and physical activity can reduce pain and improve the health status and quality of life of adults with arthritis; however, in 2014, only 11.4% and 61.0% of arthritis patients reported engaging in each, respectively. To assess self-reported self-management class attendance and health care provider physical activity counseling among adults with doctor-diagnosed arthritis, CDC analyzed 2019 Behavioral Risk Factor Surveillance System (BRFSS) data. In 2019, an age-standardized state median of one in six (16.2%) adults with arthritis reported ever attending a self-management class, and 69.3% reported ever receiving health care provider counselling to be physically active. Prevalences of both differed by state and sociodemographic characteristics; decreased with lower educational attainment, joint pain severity, and urbanicity; and were lower in men than in women. Health care providers can play an important role in promoting self-management class attendance and physical activity by counseling arthritis patients about their benefits and referring patients to evidence-based programs (3).

Indexed as

ExercisePhysician-Patient RelationsAdolescentAdultAgedArthritisCounselingFemaleHealth PersonnelHumansMaleMiddle AgedPatient Education as TopicSelf-ManagementUnited StatesYoung Adult

Identifiers

PMID34673750
PMCPMC9361837
OpenAlexW3206596596

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.