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      Strategies and methods to study female-specific cardiovascular health and disease: a guide for clinical scientists

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          Abstract

          Background

          In 2001, the Institute of Medicine’s (IOM) report, “Exploring the Biological Contributions to Human Health: Does Sex Matter?” advocated for better understanding of the differences in human diseases between the sexes, with translation of these differences into clinical practice. Sex differences are well documented in the prevalence of cardiovascular (CV) risk factors, the clinical manifestation and incidence of cardiovascular disease (CVD), and the impact of risk factors on outcomes. There are also physiologic and psychosocial factors unique to women that may affect CVD risk, such as issues related to reproduction.

          Methods

          The Society for Women’s Health Research (SWHR) CV Network compiled an inventory of sex-specific strategies and methods for the study of women and CV health and disease across the lifespan. References for methods and strategy details are provided to gather and evaluate this information. Some items comprise robust measures; others are in development.

          Results

          To address female-specific CV health and disease in population, physiology, and clinical trial research, data should be collected on reproductive history, psychosocial variables, and other factors that disproportionately affect CVD in women. Variables related to reproductive health include the following: age of menarche, menstrual cycle regularity, hormone levels, oral contraceptive use, pregnancy history/complications, polycystic ovary syndrome (PCOS) components, menopause age, and use and type of menopausal hormone therapy. Other factors that differentially affect women’s CV risk include diabetes mellitus, autoimmune inflammatory disease, and autonomic vasomotor control. Sex differences in aging as well as psychosocial variables such as depression and stress should also be considered. Women are frequently not included/enrolled in mixed-sex CVD studies; when they are included, information on these variables is generally not collected. These omissions limit the ability to determine the role of sex-specific contributors to CV health and disease. Lack of sex-specific knowledge contributes to the CVD health disparities that women face.

          Conclusions

          The purpose of this review is to encourage investigators to consider ways to increase the usefulness of physiological and psychosocial data obtained from clinical populations, in an effort to improve the understanding of sex differences in clinical CVD research and health-care delivery for women and men.

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          Most cited references186

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          The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

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            General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

            Separate multivariable risk algorithms are commonly used to assess risk of specific atherosclerotic cardiovascular disease (CVD) events, ie, coronary heart disease, cerebrovascular disease, peripheral vascular disease, and heart failure. The present report presents a single multivariable risk function that predicts risk of developing all CVD and of its constituents. We used Cox proportional-hazards regression to evaluate the risk of developing a first CVD event in 8491 Framingham study participants (mean age, 49 years; 4522 women) who attended a routine examination between 30 and 74 years of age and were free of CVD. Sex-specific multivariable risk functions ("general CVD" algorithms) were derived that incorporated age, total and high-density lipoprotein cholesterol, systolic blood pressure, treatment for hypertension, smoking, and diabetes status. We assessed the performance of the general CVD algorithms for predicting individual CVD events (coronary heart disease, stroke, peripheral artery disease, or heart failure). Over 12 years of follow-up, 1174 participants (456 women) developed a first CVD event. All traditional risk factors evaluated predicted CVD risk (multivariable-adjusted P<0.0001). The general CVD algorithm demonstrated good discrimination (C statistic, 0.763 [men] and 0.793 [women]) and calibration. Simple adjustments to the general CVD risk algorithms allowed estimation of the risks of each CVD component. Two simple risk scores are presented, 1 based on all traditional risk factors and the other based on non-laboratory-based predictors. A sex-specific multivariable risk factor algorithm can be conveniently used to assess general CVD risk and risk of individual CVD events (coronary, cerebrovascular, and peripheral arterial disease and heart failure). The estimated absolute CVD event rates can be used to quantify risk and to guide preventive care.
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              Development and validation of a brief screening version of the Childhood Trauma Questionnaire.

              The goal of this study was to develop and validate a short form of the Childhood Trauma Questionnaire (the CTQ-SF) as a screening measure for maltreatment histories in both clinical and nonreferred groups. Exploratory and confirmatory factor analyses of the 70 original CTQ items were used to create a 28-item version of the scale (25 clinical items and three validity items) and test the measurement invariance of the 25 clinical items across four samples: 378 adult substance abusing patients from New York City, 396 adolescent psychiatric inpatients, 625 substance abusing individuals from southwest Texas, and 579 individuals from a normative community sample (combined N=1978). Results showed that the CTQ-SF's items held essentially the same meaning across all four samples (i.e., measurement invariance). Moreover, the scale demonstrated good criterion-related validity in a subsample of adolescents on whom corroborative data were available. These findings support the viability of the CTQ-SF across diverse clinical and nonreferred populations.
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                Author and article information

                Contributors
                410-550-0853 , pouyang@jhmi.edu
                nwenger@emory.edu
                dtaylor@texasheart.org
                JWRICHEDWARDS@BICS.BWH.HARVARD.EDU
                mst@mcmaster.ca
                lshaw3@emory.edu
                sberga@wakehealth.edu
                miller.virginia@mayo.edu
                merz@cshs.org
                Journal
                Biol Sex Differ
                Biol Sex Differ
                Biology of Sex Differences
                BioMed Central (London )
                2042-6410
                31 March 2016
                31 March 2016
                2016
                : 7
                : 19
                Affiliations
                [ ]Johns Hopkins University, Baltimore, MD USA
                [ ]Emory University School of Medicine, Atlanta, GA USA
                [ ]Texas Heart Institute, Houston, TX USA
                [ ]Brigham and Women’s Hospital, Boston, MA USA
                [ ]McMaster University, Hamilton, Ontario Canada
                [ ]Wake Forest School of Medicine, Winston-Salem, NC USA
                [ ]Mayo Clinic, Rochester, MN USA
                [ ]Barbra Streisand Women’s Heart Center, Cedars-Sinai Heart Institute, Los Angeles, CA USA
                [ ]Division of Cardiology, Johns Hopkins Bayview Medical Center, 301 Building, Suite 2400, 4940 Eastern Ave, Baltimore, MD 21224 USA
                Article
                73
                10.1186/s13293-016-0073-y
                4815158
                27034774
                3d053e0c-1ed5-43f3-93ba-899a9e167a16
                © Ouyang et al. 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 25 November 2015
                : 21 March 2016
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: NO1-HC-95162
                Award ID: 1U54RR003561
                Award ID: NO1-HV-68161
                Award ID: NO1-HV-68162
                Award ID: NO1-HV-68163
                Award ID: NO1-HV-68164
                Award ID: U0164829
                Award ID: M01-RR00425
                Award ID: UL1RR033176
                Award ID: UL1TR000124
                Award ID: UL1TR001427
                Award ID: HL089765
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100001796, Gustavus and Louise Pfeiffer Research Foundation;
                Funded by: Women's Guild of Cedars-Sinai Medical Center, Los Angeles, CA
                Funded by: Edythe L. Broad Heart Research Fellowship, Cedars-Sinai Medical Center
                Funded by: Constance Austin Women's Heart Research Fellowship
                Funded by: Barbara Streisand Women;s Cardiovascular Research and Education Center
                Funded by: Erika Glazer Women's Heart Health Project, Cedars-Sinai Medical Center
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R01-MH-50748
                Award ID: 054-HD-08610
                Award ID: NCRR-000046
                Award ID: UM1-HL087318
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100006939, Emory University;
                Award ID: Dean's Distinguished Faculty Award
                Award Recipient :
                Funded by: Albert E. Levy Scientific Research Award
                Funded by: FundRef http://dx.doi.org/10.13039/100002411, Woodruff Foundation;
                Funded by: Antinori Foundation
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: UO1-HL-10556-01
                Award ID: RO1-HL-11150-02
                Award ID: RO1-HL-118019-02
                Award Recipient :
                Categories
                Review
                Custom metadata
                © The Author(s) 2016

                Human biology
                women,sex-specific,cardiovascular disease
                Human biology
                women, sex-specific, cardiovascular disease

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