Literature DB >> 24221839

Association between perceived life chaos and medication adherence in a postmyocardial infarction population.

Leah L Zullig1, Ryan J Shaw, Matthew J Crowley, Jennifer Lindquist, Steven C Grambow, Eric Peterson, Bimal R Shah, Hayden B Bosworth.   

Abstract

BACKGROUND: The benefits of medication adherence to control cardiovascular disease (CVD) are well defined, yet multiple studies have identified poor adherence. The influence of life chaos on medication adherence is unknown. Because this is a novel application of an instrument, our preliminary objective was to understand patient factors associated with chaos. The main objective was to evaluate the extent to which an instrument designed to measure life chaos is associated with CVD-medication nonadherence. METHODS AND
RESULTS: Using baseline data from an ongoing randomized trial to improve postmyocardial infarction (MI) management, multivariable logistic regression identified the association between life chaos and CVD-medication nonadherence. Patients had hypertension and a myocardial infarction in the past 3 years (n=406). Nearly 43% reported CVD-medication nonadherence in the past month. In simple linear regression, the following were associated with higher life chaos: medication nonadherence (β=1.86; 95% confidence interval [CI], 0.96-2.76), female sex (β=1.22; 95% CI [0.22-2.24]), minority race (β=1.72; 95% CI [0.78-2.66]), having less than high school education (β=2.05; 95% CI [0.71-3.39]), low health literacy (β=2.06; 95% CI [0.86-3.26]), and inadequate financial status (β=1.93; 95% CI [0.87-3.00]). Being married (β=-2.09, 95% CI [-3.03 to -1.15]) was associated with lower life chaos. As chaos quartile increased, patients exhibited more nonadherence. In logistic regression, adjusting for sex, race, marital status, employment, education, health literacy, and financial status, a 1-unit life chaos increase was associated with a 7% increase (odds ratio, 1.07; 95% CI [1.02-1.12]) in odds of reporting medication nonadherence.
CONCLUSIONS: Our results suggest that life chaos may be an important determinant of medication adherence. Life chaos screenings could identify those at risk for nonadherence. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT000901277.

Entities:  

Keywords:  cardiovascular diseases; medication adherence; myocardial infarction

Mesh:

Year:  2013        PMID: 24221839     DOI: 10.1161/CIRCOUTCOMES.113.000435

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  20 in total

1.  Medication non-adherence after myocardial infarction: an exploration of modifying factors.

Authors:  Matthew J Crowley; Leah L Zullig; Bimal R Shah; Ryan J Shaw; Jennifer H Lindquist; Eric D Peterson; Hayden B Bosworth
Journal:  J Gen Intern Med       Date:  2015-01       Impact factor: 5.128

2.  Confirmatory Factor Analysis of the Malay Version of the Confusion, Hubbub and Order Scale (CHAOS-6) among Myocardial Infarction Survivors in a Malaysian Cardiac Healthcare Facility.

Authors:  Kurubaran Ganasegeran; Kamaraj Selvaraj; Abdul Rashid
Journal:  Malays J Med Sci       Date:  2017-08-18

3.  Impact of cancer on adherence to glucose-lowering drug treatment in individuals with diabetes.

Authors:  Marjolein M J Zanders; Harm R Haak; Myrthe P P van Herk-Sukel; Lonneke V van de Poll-Franse; Jeffrey A Johnson
Journal:  Diabetologia       Date:  2015-02-01       Impact factor: 10.122

4.  Effect of Smoking Status on Exercise Perception and Intentions for Cardiac Rehabilitation Enrollment Among Patients Hospitalized With an Acute Cardiac Condition.

Authors:  Hayden Riley; Samuel Headley; Christa Winter; Sara Mazur; Diann E Gaalema; Sarah Goff; Peter K Lindenauer; Quinn R Pack
Journal:  J Cardiopulm Rehabil Prev       Date:  2018-09       Impact factor: 2.081

5.  HIV-Related Stress and Life Chaos Mediate the Association Between Poverty and Medication Adherence Among People Living with HIV/AIDS.

Authors:  Seth C Kalichman; Moira O Kalichman
Journal:  J Clin Psychol Med Settings       Date:  2016-12

6.  Addressing Social Determinants of Health Within Healthcare Delivery Systems: a Framework to Ground and Inform Health Outcomes.

Authors:  Deborah Gurewich; Arvin Garg; Nancy R Kressin
Journal:  J Gen Intern Med       Date:  2020-02-19       Impact factor: 5.128

7.  Daily Routine: Associations With Health Status and Urgent Health Care Utilization Among Older Adults.

Authors:  Rachel O'Conor; Julia Yoshino Benavente; Mary J Kwasny; Kamal Eldeirawi; Romana Hasnain-Wynia; Alex D Federman; Jennifer Hebert-Beirne; Michael S Wolf
Journal:  Gerontologist       Date:  2019-09-17

8.  Psychiatric Illness, Substance Use, and Viral Suppression Among HIV-Positive Men of Color Who Have Sex with Men in Los Angeles.

Authors:  Hilary J Aralis; Steve Shoptaw; Ron Brookmeyer; Amy Ragsdale; Robert Bolan; Pamina M Gorbach
Journal:  AIDS Behav       Date:  2018-10

9.  Racial differences in nocturnal dipping status in diabetic kidney disease: Results from the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) study.

Authors:  Leah L Zullig; Clarissa J Diamantidis; Hayden B Bosworth; Manjushri V Bhapkar; Huiman Barnhart; Megan M Oakes; Jane F Pendergast; Julie J Miller; Uptal D Patel
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-08-20       Impact factor: 3.738

Review 10.  The Impact of Social Determinants of Health on Medication Adherence: a Systematic Review and Meta-analysis.

Authors:  Marcee E Wilder; Paige Kulie; Caroline Jensen; Paul Levett; Janice Blanchard; Luis W Dominguez; Maria Portela; Aneil Srivastava; Yixuan Li; Melissa L McCarthy
Journal:  J Gen Intern Med       Date:  2021-01-29       Impact factor: 5.128

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