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

Objective

Self-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.

Method

This 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.

Results

Extent 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).

Conclusion

Analyses 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

https://hdl.handle.net/10161/29868

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

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Humans

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Cholesterol

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Middle Aged

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Female

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Male

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Medication Adherence

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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

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55

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Duke

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School of Medicine

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Faculty

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Basic Science Departments

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Clinical Science Departments

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Institutes and Centers

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Medicine

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Psychiatry & Behavioral Sciences

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Medicine, General Internal Medicine

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Duke Cancer Institute

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Duke Clinical Research Institute

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Institutes and Provost's Academic Units

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Center for the Study of Aging and Human Development

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Initiatives

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Duke Science & Society

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Population Health Sciences

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Duke Innovation & Entrepreneurship

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Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

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Duke - Margolis Center For Health Policy

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Published

pubs.volume

118

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