Self-reported medication nonadherence predicts cholesterol levels over time.
dc.contributor.author | Blalock, Dan V | |
dc.contributor.author | Zullig, Leah L | |
dc.contributor.author | Bosworth, Hayden B | |
dc.contributor.author | Taylor, Shannon S | |
dc.contributor.author | Voils, Corrine I | |
dc.date.accessioned | 2024-01-26T00:08:08Z | |
dc.date.available | 2024-01-26T00:08:08Z | |
dc.date.issued | 2019-03 | |
dc.description.abstract | ObjectiveSelf-report measures of medication nonadherence are frequently adapted to new clinical populations without evidence of validity. We evaluated the predictive validity of a medication nonadherence measure previously validated in patients with hypertension among patients taking cholesterol-reducing medications.MethodThis secondary analysis involves data from a randomized trial (VA HSR&D IIR 08-297) conducted at the Durham Veterans Affairs Medical Center. At baseline, 6-months, and 12-months, serum cholesterol was obtained and participants (n = 236) completed a 3-item measure of extent of nonadherence to cholesterol-reducing medications. Two cross-lagged panel models with covariates, in addition to growth curve analysis, were used to examine the predictive utility of self-reported nonadherence on concurrent and future cholesterol levels, while accounting for potential reverse-causation.ResultsExtent of nonadherence items produced reliable scores across time and fit a single-factor model (CFI = 0.99). Nonadherence, and changes in nonadherence, moderately predicted future cholesterol values, and changes in cholesterol values (7 of 9 longitudinal associations were significant at p < .05; B's ranged from 0.16 to 0.35). Evidence for reverse associations was weaker (3 of 9 longitudinal associations were significant at p < .05; B's ranged from 0.16 to 0.36).ConclusionAnalyses support the predictive validity of this medication nonadherence measure over the competing reverse-causation hypothesis. | |
dc.identifier | S0022-3999(18)31037-7 | |
dc.identifier.issn | 0022-3999 | |
dc.identifier.issn | 1879-1360 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | Journal of psychosomatic research | |
dc.relation.isversionof | 10.1016/j.jpsychores.2019.01.010 | |
dc.rights.uri | ||
dc.subject | Humans | |
dc.subject | Cholesterol | |
dc.subject | Middle Aged | |
dc.subject | Female | |
dc.subject | Male | |
dc.subject | Medication Adherence | |
dc.subject | Self Report | |
dc.title | Self-reported medication nonadherence predicts cholesterol levels over time. | |
dc.type | Journal article | |
duke.contributor.orcid | Blalock, Dan V|0000-0002-8349-9825 | |
duke.contributor.orcid | Zullig, Leah L|0000-0002-6638-409X | |
duke.contributor.orcid | Bosworth, Hayden B|0000-0001-6188-9825 | |
pubs.begin-page | 49 | |
pubs.end-page | 55 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Faculty | |
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 | 118 |
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