Abstract MP01: Healthy Lifestyle Factors and Risk of Heart Failure in the Women’s Health Initiative Observational Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Golareh Agha ◽  
Eric B Loucks ◽  
Lesley Tinker ◽  
Molly E Waring ◽  
Dominique Michaud ◽  
...  
Keyword(s):  
Heart Failure ◽  
Observational Study ◽  
Women's Health ◽  
Healthy Lifestyle ◽  
Lifestyle Factors ◽  
Healthy Weight ◽  
Health Initiative ◽  
Menopausal Women ◽  
Post Menopausal ◽  
The Women’S Health Initiative

BACKGROUND: A healthy lifestyle (not smoking, regular exercise, a healthy diet, and a healthy weight) has been shown to be associated with lower risk of coronary heart disease, stroke, and cardiovascular disease mortality. Little is known about the impact of a healthy lifestyle on risk of heart failure (HF). OBJECTIVE: To evaluate the effect of a combination of healthy lifestyle factors on incident HF. METHODS: Participants included 85,048 post-menopausal women from the Women’s Health Initiative (WHI) Observational Study, aged 50-79, who were free of HF at baseline and had a body mass index (BMI) ≥ 18.5 kg/m 2 . Lifestyle factors, assessed at baseline, were: Smoking (never, former, current), physical activity (inactive, somewhat active, active), Alternate Healthy Eating index (AHEI)- a composite numerical index of dietary quality, and BMI. A healthy lifestyle was defined by the following 4 criteria: never smoking, active, high-scoring AHEI (top 40% of the index), and a healthy weight (BMI < 25 kg/m 2 ). Women received 1 point for every healthy lifestyle criterion met, with a possible range of 0-4 points. Self-reported HF was followed up by clinical adjudication using standardized methodology. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: There were 1826 cases of HF during a mean follow-up of 11 years. Individually, all 4 healthy lifestyle factors were significantly and independently associated with a decreased risk of HF, in a graded fashion (For example: HR = 0.68 {95% CI: 0.60,0.78} for active vs. inactive; HR=0.77 {95% CI: 0.68,0.88} for somewhat active vs. inactive). In analyses on the combination of healthy lifestyle factors, an increasing number of healthy lifestyle points was significantly associated with decreased risk of HF in multivariable-adjusted models ( Table ). CONCLUSION: Among a diverse US sample of post-menopausal women, an inverse and graded association was observed between number of healthy lifestyle factors and risk of HF.

Abstract 16290: Racial and Ethnic Differences in Heart Failure Progression in Post-menopausal Women: The Women’s Health Initiative

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Khadijah Breathett ◽  
Randi Foraker ◽  
William T Abraham ◽  
Laura Coker ◽  
Iris Leng ◽  
...  
Keyword(s):  
Heart Failure ◽  
Women's Health ◽  
Women's Health Initiative ◽  
Health Initiative ◽  
Increased Risk ◽  
Menopausal Women ◽  
Risk Of Progression ◽  
Post Menopausal ◽  
Similar Risk ◽  
The Women’S Health Initiative

Background: Heart failure (HF), a leading cause of morbidity and mortality in women, continues to disproportionately affect African-American (AA) women compared to women of other races/ethnicities. In a large cohort of post-menopausal women, we investigated if AA women progress through HF stages and coronary heart disease (CHD) death more rapidly than Caucasian (Cau) or Hispanic/Latina (HL) women. Methods: We assessed the American College of Cardiology/American Heart Association (ACC/AHA) HF stage A upon enrollment into the Women’s Health Initiative (1993-1998) and the progression from Stage A to Stage C, Stage C to CHD death, up to the last date of follow-up (2010). Cox proportional hazard regressions models were used to assess disease progression risk. We adjusted for age, baseline comorbidities, duration of comorbidities, interval development of myocardial infarction, ejection fraction at HF diagnosis, socioeconomic factors, and sex specific variables. Results: At baseline, AA women were younger and had a higher percentage of Stage A HF (76%) than Cau (54%) and HL (55%) women. Overall, AA and HL women had significantly lower risk of progressing from Stage A to Stage C compared to Cau women [AA vs. Cau adjusted Hazard Ratio (HR) 0.77 (95% Confidence Interval (CI) 0.64 -0.93) p = 0.0055; HL vs. Cau HR 0.54 (95% CI 0.40 -0.71) p < 0.0001]. After stratifying by age groups(<65, 65-69, >70 years), AA women had a similar risk of progression from stage A to C compared to Cau women. When compared to Cau women, AA had an insignificant increased risk of progressing from Stage C to CHD death [adjusted HR 1.29 (95% CI 0.72 -2.32) p = 0.3883)]. Conclusions: Cau women were at higher risk for HF progression from Stage A to Stage C compared to HL women, but at similar risk as AA women. AA women had an insignificant but increased risk of progression from Stage C to CHD death compared to Cau women.

Prevalence and penetrance of breast cancer-associated mutations identified by multiple-gene sequencing in the Women’s Health Initiative.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 1513-1513
Author(s):  
Allison W. Kurian ◽  
Elisha Hughes ◽  
Ryan Bernhisel ◽  
Katie Larson ◽  
Jennifer Lee Caswell-Jin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Women's Health ◽  
Cancer Patients ◽  
Cancer Susceptibility ◽  
Breast Cancer Patients ◽  
Women's Health Initiative ◽  
Health Initiative ◽  
Menopausal Women ◽  
Post Menopausal ◽  
The Women’S Health Initiative

1513 Background: Next-generation sequencing enables rapid analysis of many inherited cancer susceptibility genes. Little is known about the prevalence and penetrance of pathogenic variants (PVs) in such genes among post-menopausal women with breast cancer, who comprise the majority of all breast cancer patients. Methods: The Women’s Health Initiative enrolled post-menopausal women from 1993-1998. We conducted a nested case-control study using banked DNA samples of 2,195 women who subsequently developed invasive breast cancer (cases) and 2,322 cancer-free controls. Sequenced genes were APC, ATM, BARD1, BMPR1A, BRCA1, BRCA2, BRIP1, CDH1, CDK4, CDKN2A (p16INK4a and p14ARF) , CHEK2, EPCAM, GREM1, MLH1, MSH2, MSH6, MUTYH, NBN, PALB2, PMS2, POLD1, POLE, PTEN, RAD51C, RAD51D, SMAD4, STK11, and TP53. PV were defined using American College of Medical Genetics criteria. PV prevalence is reported as proportions and penetrance as the odds ratio (OR) and 95% confidence interval (CI) of PV versus none among cases versus controls. Results: Among cases, the median age at diagnosis was 73 years; 66% were White, 18% Black, 6% Hispanic, 6% Asian and 4% other. The prevalence of PVs in any gene was significantly higher in cases (6.61%, 95% CI 5.57-7.65%) versus controls (4.09%, 95% CI 3.29-4.90%). The prevalence of BRCA1/2 PVs was 1.2% in cases and 0.22% in controls. Among cases, the prevalence of PVs in other breast cancer-risk genes was 2.3% ( ATM, CDH1, BARD1, BRIP1, CHEK2, NBN, and PALB2 collectively), two-fold higher than PVs in BRCA1/2. Prevalence of BRCA1/2 PVs decreased with age among cases, while prevalence of ATM, CHEK2 and PALB2 PVs did not. Statistically significant ORs for breast cancer penetrance were observed for BRCA1 (5.43, 95% CI 1.19-51.52), BRCA2 (4.71, 95% CI 1.84-15.08), BARD1 (9.78, 95% CI 1.04-1295.87) and PALB2 (6.30, 95% CI 1.93-31.94). Conclusions: Approximately 7% of women diagnosed with post-menopausal breast cancer carry a PV in a cancer susceptibility gene. In contrast to studies of younger breast cancer patients, PVs in other breast cancer-related genes were two times more common than in BRCA1/2. Results may guide genetic testing of women with post-menopausal breast cancer.

scholarly journals EPIDEMIOLOGY OF P WAVE INDICES IN HEALTHY POST-MENOPAUSAL WOMEN: THE WOMEN’S HEALTH INITIATIVE

2010 ◽  
Vol 55 (10) ◽  
pp. A13.E125
Author(s):  
Eiran Z. Gorodeski ◽  
Jared W. Magnani ◽  
Ronald J. Prineas ◽  
Mara Z. Vitolins ◽  
Mary J. O’Sullivan ◽  
...  
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
P Wave ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Menopausal Women ◽  
Post Menopausal ◽  
The Women’S Health Initiative
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