Evidence map›Paper›PMID 24722618›Full record

ArticlePloS one2014

The association of income with health behavior change and disease monitoring among patients with chronic disease.

David J T Campbell, Paul E Ronksley, Braden J Manns, Marcello Tonelli, Claudia Sanmartin, Robert G Weaver, Deirdre Hennessy, Kathryn King-Shier, Tavis Campbell, Brenda R Hemmelgarn and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  3. Exploring patient and pharmacist perspectives on complex interventions for cardiovascular prevention: A qualitative descriptive process evaluation.Health expectations : an international journal of public participation in health care and health policy · 2020
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  19. Ethnic Differences in Persistence with COPD Medications: a Register-Based Study.Journal of racial and ethnic health disparities · 2017
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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

11 authors at 3 institutions in 1 country.

David J T CampbellDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada.
Paul E RonksleyOttawa Hospital Research Institute, Ottawa, Ontario, Canada; Statistics Canada, Health Analysis Division, Ottawa, Ontario, Canada.
Braden J MannsDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Institute of Public Health, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada.
Marcello TonelliLibin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Claudia SanmartinDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Statistics Canada, Health Analysis Division, Ottawa, Ontario, Canada.
Robert G WeaverDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Deirdre HennessyStatistics Canada, Health Analysis Division, Ottawa, Ontario, Canada.
Kathryn King-ShierDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Institute of Public Health, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada; Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada.
Tavis CampbellDepartment of Psychology, University of Calgary, Calgary, Alberta, Canada.
Brenda R HemmelgarnDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Institute of Public Health, University of Calgary, Calgary, Alberta, Canada; Libin Cardiovascular Institute, University of Calgary, Calgary, Alberta, Canada.
Interdisciplinary Chronic Disease Collaboration
University of Calgary · CALibin Cardiovascular Institute of Alberta · CAStatistics Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManagement of chronic diseases requires patients to adhere to recommended health behavior change and complete tests for monitoring. While studies have shown an association between low income and lack of adherence, the reasons why people with low income may be less likely to adhere are unclear. We sought to determine the association between household income and receipt of health behavior change advice, adherence to advice, receipt of recommended monitoring tests, and self-reported reasons for non-adherence/non-receipt.

methodsWe conducted a population-weighted survey, with 1849 respondents with cardiovascular-related chronic diseases (heart disease, hypertension, diabetes, stroke) from Western Canada (n = 1849). We used log-binomial regression to examine the association between household income and the outcome variables of interest: receipt of advice for and adherence to health behavior change (sodium reduction, dietary improvement, increased physical activity, smoking cessation, weight loss), reasons for non-adherence, receipt of recommended monitoring tests (cholesterol, blood glucose, blood pressure), and reasons for non-receipt of tests.

resultsBehavior change advice was received equally by both low and high income respondents. Low income respondents were more likely than those with high income to not adhere to recommendations regarding smoking cessation (adjusted prevalence rate ratio (PRR): 1.55, 95%CI: 1.09-2.20), and more likely to not receive measurements of blood cholesterol (PRR: 1.72, 95%CI 1.24-2.40) or glucose (PRR: 1.80, 95%CI: 1.26-2.58). Those with low income were less likely to state that non-adherence/non-receipt was due to personal choice, and more likely to state that it was due to an extrinsic factor, such as cost or lack of accessibility.

conclusionsThere are important income-related differences in the patterns of health behavior change and disease monitoring, as well as reasons for non-adherence or non-receipt. Among those with low income, adherence to health behavior change and monitoring may be improved by addressing modifiable barriers such as cost and access.

Indexed as

Health BehaviorPatient CompliancePovertyAdultAgedCanadaCardiovascular DiseasesChoice BehaviorCholesterolChronic DiseaseFemaleHealth Care CostsHealth PromotionHealth Services AccessibilityHumansMaleCholesterol

Identifiers

PMID24722618
PMCPMC3983092
OpenAlexW2003962051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.