Cited by 28Asthma and respiratory diseasesMedication Adherence and ComplianceMobile Health and mHealth Applications

Factors Associated With Nonresponse to a Computer-Tailored Asthma Management Program for Urban Adolescents With Asthma

Open access
Joseph, C. L. M., Havstad, S. L., Johnson, D., Saltzgaber, J., Peterson, E. L., Resnicow, K., Ownby, D. R., Baptist, A. P. +2 more·2010·Journal of Asthma

Abstract

BACKGROUND: The ability to identify potentially resistant participants early in the course of an intervention could inform development of strategies for behavior change and improve program effectiveness. OBJECTIVE: The objective of this analysis was to identify factors related to nonresponse (i.e., lack of behavior change) to an asthma management intervention for urban teenagers. The intervention targeted several behaviors, including medication adherence, having a rescue inhaler nearby, and smoking. METHODS: A discriminate analysis was conducted using data from a randomized trial of the intervention. Included in this analysis are participants who reported a physician diagnosis of asthma, completed a baseline questionnaire, were randomized to the treatment group, completed >or=2 of 4 educational sessions, and completed >or=2 of 3 follow-up questionnaires. Ninety students met criteria for inclusion in this subgroup analysis. RESULTS: In logistic regression models for medication adherence, nonresponse was related to low baseline asthma self-regulation, odds ratio = 3.6 (95% confidence interval = 1.3-9.5). In models for having an inhaler nearby, nonresponse was related to low baseline self-regulation and to rebelliousness, OR = 4.7 (1.6-13.2) and 5.6 (1.7-18.0), respectively. Nonresponse to smoking messages was related to rebelliousness, low emotional support, and low religiosity, ORs = 7.6 (1.8-32.3), 9.5 (1.4-63.5), and 6.6 (1.5-29.8) respectively. CONCLUSIONS: Certain variables had the ability to discriminate the likelihood of response from that of nonresponse to an asthma program for urban, African American adolescents with asthma. These variables can be used to identify resistant subgroups early in the intervention, allowing the application of specialized strategies through tailoring. These types of analyses can inform behavioral interventions.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3109/02770900903518827

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 50 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Joseph, C. L. M., Havstad, S. L., Johnson, D., Saltzgaber, J., Peterson, E. L., Resnicow, K., Ownby, D. R., Baptist, A. P., Johnson, C. C., & Strecher, V. J.
Affiliations
  • Henry Ford Health (US)
  • University of Michigan (US)
  • Augusta University (US)
  • Michigan Medicine (US)
Corresponding author
Joseph, C. L. M.
Venue
Journal of Asthma
Published
2010-07-20
Volume
47
Issue
6
Pages
667-673
ISSN
  • 0277-0903 (ISSN-L)
  • 1532-4303
OpenAlex
W1993639447
Cited by
28
References
50
Citations by year
2023: 1 · 2020: 3 · 2019: 2 · 2018: 6 · 2017: 4 · 2016: 2 · 2015: 4 · 2014: 1 · 2013: 1 · 2012: 2
FWCI
1.08
Type
journal article
Language
en
Open access
Locations
  • Journal of Asthma (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Heart, Lung, and Blood Institute (R01HL068971, HL068971)
Topics
  • Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Keywords
computer-tailored intervention, adolescents, urban youth, African American adolescents, medication adherence, rescue inhaler use, smoking, rebelliousness, emotional support, religiosity, behavior change
MeSH terms
Adolescent, Asthma, Behavior Therapy, Black or African American, Female, Humans, Male, Michigan, Models, Psychological, Patient Compliance, Patient Education as Topic, Smoking, Software, Urban Population, Logistic Models, Anti-Asthmatic Agents

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review