Is there a nonadherent subtype of hypertensive patient? A latent class analysis approach.
dc.contributor.author | Trivedi, Ranak B | |
dc.contributor.author | Ayotte, Brian J | |
dc.contributor.author | Thorpe, Carolyn T | |
dc.contributor.author | Edelman, David | |
dc.contributor.author | Bosworth, Hayden B | |
dc.date.accessioned | 2024-02-01T20:21:32Z | |
dc.date.available | 2024-02-01T20:21:32Z | |
dc.date.issued | 2010-07 | |
dc.description.abstract | To determine subtypes of adherence, 636 hypertensive patients (48% White, 34% male) reported adherence to medications, diet, exercise, smoking, and home blood pressure monitoring. A latent class analysis approach was used to identify subgroups that adhere to these five self-management behaviors. Fit statistics suggested two latent classes. The first class (labeled "more adherent") included patients with greater probability of adhering to recommendations compared with the second class (labeled "less adherent") with regard to nonsmoking (97.7% versus 76.3%), medications (75.5% versus 49.5%), diet (70.7% versus 46.9%), exercise (63.4% versus 27.2%), and blood pressure monitoring (32% versus 3.4%). Logistic regression analyses used to characterize the two classes showed that "more adherent" participants were more likely to report full-time employment, adequate income, and better emotional and physical well-being. Results suggest the presence of a less adherent subtype of hypertensive patients. Behavioral interventions designed to improve adherence might best target these at-risk patients for greater treatment efficiency. | |
dc.identifier.issn | 1177-889X | |
dc.identifier.issn | 1177-889X | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Informa UK Limited | |
dc.relation.ispartof | Patient preference and adherence | |
dc.relation.isversionof | 10.2147/ppa.s11335 | |
dc.rights.uri | ||
dc.subject | adherence | |
dc.subject | hypertension | |
dc.subject | latent class analysis | |
dc.subject | self-management | |
dc.title | Is there a nonadherent subtype of hypertensive patient? A latent class analysis approach. | |
dc.type | Journal article | |
duke.contributor.orcid | Edelman, David|0000-0001-7112-6151 | |
duke.contributor.orcid | Bosworth, Hayden B|0000-0001-6188-9825 | |
pubs.begin-page | 255 | |
pubs.end-page | 262 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Medicine, General Internal Medicine | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | Center for the Study of Aging and Human Development | |
pubs.organisational-group | Initiatives | |
pubs.organisational-group | Duke Science & Society | |
pubs.organisational-group | Population Health Sciences | |
pubs.organisational-group | Duke Innovation & Entrepreneurship | |
pubs.organisational-group | Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences | |
pubs.organisational-group | Duke - Margolis Center For Health Policy | |
pubs.publication-status | Published | |
pubs.volume | 4 |
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