Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 May 26;10(5):e0127638.
doi: 10.1371/journal.pone.0127638. eCollection 2015.

Childhood adversity as a predictor of non-adherence to statin therapy in adulthood

Affiliations

Childhood adversity as a predictor of non-adherence to statin therapy in adulthood

Maarit Jaana Korhonen et al. PLoS One. .

Abstract

Purpose: To investigate whether adverse experiences in childhood predict non-adherence to statin therapy in adulthood.

Methods: A cohort of 1378 women and 538 men who initiated statin therapy during 2008-2010 after responding to a survey on childhood adversities, was followed for non-adherence during the first treatment year. Log-binomial regression was used to estimate predictors of non-adherence, defined as the proportion of days covered by dispensed statin tablets <80%. In fully adjusted models including age, education, marital status, current smoking, heavy alcohol use, physical inactivity, obesity, presence of depression and cardiovascular comorbidity, the number of women ranged from 1172 to 1299 and that of men from 473 to 516, because of missing data on specific adversities and covariates.

Results: Two in three respondents reported at least one of the following six adversities in the family: divorce/separation of the parents, long-term financial difficulties, severe conflicts, frequent fear, severe illness, or alcohol problem of a family member. 51% of women and 44% of men were non-adherent. In men, the number of childhood adversities predicted an increased risk of non-adherence (risk ratio [RR] per adversity 1.11, 95% confidence interval [CI] 1.01-1.21], P for linear trend 0.013). Compared with those reporting no adversities, men reporting 3-6 adversities had a 1.44-fold risk of non-adherence (95% CI 1.12-1.85). Experiencing severe conflicts in the family (RR 1.27, 95% CI 1.03-1.57]) and frequent fear of a family member (RR 1.27, 95% CI 1.00-1.62]) in particular, predicted an increased risk of non-adherence. In women, neither the number of adversities nor any specific type of adversity predicted non-adherence.

Conclusions: Exposure to childhood adversity may predict non-adherence to preventive cardiovascular medication in men. Usefulness of information on childhood adversities in identification of adults at high risk of non-adherence deserves further research.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Chart of the sample selection.
Fig 2
Fig 2. Risk of non-adherence (95% confidence interval) by the number of childhood adversities in subpopulations of men.

Similar articles

Cited by

References

    1. Chowdhury R, Khan H, Heydon E, Shroufi A, Fahimi S, Moore C, et al. Adherence to cardiovascular therapy: a meta-analysis of prevalence and clinical consequences. Eur Heart J. 2013;34: 2940–2948. 10.1093/eurheartj/eht295 - DOI - PubMed
    1. Osterberg L, Blaschke T. Adherence to medication. N Engl J Med. 2005;353: 487–497. - PubMed
    1. Chan DC, Shrank WH, Cutler D, Jan S, Fischer MA, Liu J, et al. Patient, physician and payment predictors of statin adherence. Med Care. 2010;48: 196–202. 10.1097/MLR.0b013e3181c132ad - DOI - PubMed
    1. Galobardes B, Smith GD, Lynch JW. Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol. 2006;16: 91–104. - PubMed
    1. Nandi A, Glymour MM, Kawachi I, VanderWeele T. Using marginal structural models to estimate the direct effect of adverse childhood social conditions on onset of heart disease, diabetes, and stroke. Epidemiology. 2012;23: 223–232. 10.1097/EDE.0b013e31824570bd - DOI - PMC - PubMed

Publication types

Substances