Journal of Transcultural Nursing
Volume 18, Issue 4, 2007, Pages 331-338

Gender Differences in Chinese Immigrants: Predictors for Antihypertensive Medication Adherence (Article)

li W.-W. , Froelicher E.S.
  • a University of California, San Francisco, United States
  • b University of California, San Francisco, United States

Abstract

The purpose of this study was to describe gender differences in predictors for antihypertensive medication adherence in Chinese immigrants. A cross-sectional design was used with recruitment with a convenience sample of 100 men and 100 women with hypertension. Measurements for demographics, cultural factors, clinical factors, and medication adherence were self-administered by the participants. Blood pressure was checked twice. A multivariate logistic regression was used to establish a parsimonious prediction model for medication adherence. It was found that in men, longer length of stay in the United States was a predictor for nonadherence. The predictor of nonadherence in women was lower perceived benefits of antihypertensive medications. To increase adherence in women, the benefits of antihypertensive medications should be emphasized. For men who have lived in the United States for 12 years or more, their adherence should be closely monitored. © 2007, Sage Publications. All rights reserved.

Author Keywords

Chinese immigrants Hypertension Medication adherence Gender differences

Index Keywords

education China Models, Psychological psychological model psychological aspect nursing methodology research human sex difference middle aged statistics hypertension Time Factors Aged Logistic Models ethnology San Francisco Men Patient Education as Topic Cross-Sectional Studies United States cross-sectional study Humans Asian Americans male Emigrants and Immigrants Asian American female risk factor Risk Factors Multivariate Analysis patient education Article patient compliance prediction and forecasting Women migration Predictive Value of Tests Sex Factors drug monitoring antihypertensive agent statistical model Antihypertensive Agents time

Link
https://www.scopus.com/inward/record.uri?eid=2-s2.0-34848815643&doi=10.1177%2f1043659607305194&partnerID=40&md5=1340916f4d763012c4d9dad5098ac6c9

DOI: 10.1177/1043659607305194
ISSN: 10436596
Cited by: 11
Original Language: English