Norris CM, Johnson NL, Hardwicke-Brown E, McEwan M, Pelletier R, Pilote L. The Contribution of Gender to Apparent Sex Differences in Health Status Among Patients with Coronary Artery Disease.
J Womens Health (Larchmt) 2016;
26:50-57. [PMID:
27400270 DOI:
10.1089/jwh.2016.5744]
[Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND
While it has been identified that gender (socially manufactured roles, behaviors, expressions, and identities) plays a central role in men's and women's health, the distinction between gender and sex (biological attributes) has largely been ignored in health science research. The purpose of this study was to look at the unique contributions of sex, age, and the Gender Index (GI) to baseline health status in a cohort of patients with coronary artery disease (CAD).
PARTICIPANTS AND METHODS
Questions that comprised the GI were included in the follow-up questionnaire sent to patients in the APPROACH registry. To examine the relationship between sex, gender, and health status, a sequential linear regression modeling approach was used.
RESULTS
A total of 632 patients completed the GI between July and August 2015. The women were significantly older (68 years vs. 66 years, p = 0.02) and significantly more likely to have hypertension (50.8% vs. 38.8%, p = 0.02) compared to the men. Women reported significantly lower mean Seattle Angina Questionnaire (SAQ) scores compared to men. The inclusion of age into the models did not change the relationship between sex and the SAQ scales. However, the inclusion of the GI attenuated the relationship between sex and the SAQ scale scores.
CONCLUSIONS
Our results support the concept that sex differences in health status outcomes may be better explained by patient's gender-related characteristics, than biological sex characteristics. More importantly, the GI offers a pragmatic composite score to assess the effects of psychosocial factors that researchers interested in measuring gender could use in studies of subjects with CAD.
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