scholarly journals The Relationship of Abuse to Women’s Health Status and Health Habits

2007 ◽  
Vol 22 (4) ◽  
pp. 231-235 ◽  
Author(s):  
Gregory C. Tomasulo ◽  
John R. McNamara
Keyword(s):  
Health Status ◽  
Women’S Health ◽  
Women's Health ◽  
Health Habits ◽  
Relationship Of ◽  
The Relationship

Association of Physical Activity and Physical Functioning Phenotypes With Fall Risk Among Women

2021 ◽  
pp. 089826432098840
Author(s):  
Kelly R. Ylitalo ◽  
Carrie A. Karvonen-Gutierrez ◽  
Barbara Sternfeld ◽  
Kelley Pettee Gabriel
Keyword(s):  
Physical Activity ◽  
Women’S Health ◽  
Women's Health ◽  
Physical Functioning ◽  
Fall Risk ◽  
Risk Of Falls ◽  
Relationship Of ◽  
The Relationship ◽  
Over Time

Objective: Physical activity (PA) may slow aging-related declines in physical functioning (PF), but the relationship of PA and falls is not well understood. This study examined the association of PA and PF with falls. Methods: The Study of Women’s Health Across the Nation participants ( n = 1597; age: 65.1 years ± 2.7) reported PF and PA in 2012–2013 and falls in 2016–2017. Four phenotypes were identified: high PA–high PF, high PA–low PF, low PA–high PF, and low PA–low PF. Results: One-third (29.3%) reported ≥1 fall. Women with low PA–low PF (RR = 1.32; 95% CI: 1.06, 1.66) and with high PA–low PF (RR = 1.37; 95% CI: 1.07, 1.74) were more likely to fall than high PA–high PF. Over time, women with worsening PF had increased fall risk (RR = 1.43; 95% CI: 1.17, 1.74), but women who increased PA did not. Discussion: Poor PF increases the risk of falls, regardless of PA. However, increasing PA does not necessarily increase fall risk, reinforcing the importance of PA engagement.

scholarly journals Taking action to advance the study of race and ethnicity: the Women’s Health Initiative (WHI)

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Lorena Garcia ◽  
Shawna Follis ◽  
Cynthia A. Thomson ◽  
Khadijah Breathett ◽  
Crystal Wiley Cené ◽  
...  
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
Race And Ethnicity ◽  
Data Interpretation ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Relationship Of ◽  
The Relationship ◽  
The Women’S Health Initiative

Abstract“Race” and “ethnicity” are socially constructed terms, not based on biology - in contrast to biologic ancestry and genetic admixture - and are flexible, contested, and unstable concepts, often driven by power. Although individuals may self-identify with a given race and ethnic group, as multidimensional beings exposed to differential life influencing factors that contribute to disease risk, additional social determinants of health (SDOH) should be explored to understand the relationship of race or ethnicity to health. Potential health effects of structural racism, defined as “the structures, policies, practices, and norms resulting in differential access to goods, services, and opportunities of society by “race,” have been largely ignored in medical research. The Women’s Health Initiative (WHI) was expected to enroll a racially and ethnically diverse cohort of older women at 40 U.S. clinical centers between 1993 and 1998; yet, key information on the racial and ethnic make-up of the WHI cohort of 161,808 women was limited until a 2020–2021 Task Force was charged by the WHI Steering Committee to better characterize the WHI cohort and develop recommendations for WHI investigators who want to include “race” and/or “ethnicity” in papers and presentations. As the lessons learned are of relevance to most cohorts, the essence of the WHI Race and Ethnicity Language and Data Interpretation Guide is presented in this paper. Recommendations from the WHI Race and Ethnicity Language and Data Interpretation Guide include: Studies should be designed to include all populations and researchers should actively, purposefully and with cultural-relevance, commit to recruiting a diverse sample; Researchers should collect robust data on race, ethnicity and SDOH variables that may intersect with participant identities, such as immigration status, country of origin, acculturation, current residence and neighborhood, religion; Authors should use appropriate terminology, based on a participant’s self-identified “race” and “ethnicity”, and provide clear rationale, including a conceptual framework, for including race and ethnicity in the analytic plan; Researchers should employ appropriate analytical methods, including mixed-methods, to study the relationship of these sociocultural variables to health; Authors should address how representative study participants are of the population to which results might apply, such as by age, race and ethnicity.

Abstract P196: Insomnia Symptoms And Ideal Cardiovascular Health In Older Women: Data From The Women’S Health Study

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Cameron Hicks ◽  
Jonathan Butler ◽  
Natalie B Slopen ◽  
David Williams ◽  
Dayna A Johnson ◽  
...  
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
Older Women ◽  
Sleep Duration ◽  
Cardiovascular Health ◽  
Health Study ◽  
Lower Odds ◽  
Ideal Cardiovascular Health ◽  
The Relationship ◽  
Insomnia Symptoms

Introduction: While insomnia is associated with an increased risk of incident cardiovascular disease (CVD), its relationship with ideal cardiovascular health (ICH) is less certain. Given that sleep disturbances increase with age, we examined the relationship between insomnia symptoms and ICH in older women. Methods: Among women participating in the ongoing Women’s Health Study stress cohort with no apparent history of CVD [N= 2588; Mean age= 72.5 ± 6.3], insomnia symptoms were characterized as self-reported difficulty falling asleep or waking up multiple times a night, three or more times per week. Ideal cardiovascular health, as defined by the American Heart Association’s 2020 Impact goals, included standard optimal targets for blood pressure, total cholesterol, glucose, body mass index, physical activity, diet, and smoking. We examined the relationship between insomnia symptoms and ICH using logistic regression, adjusting for clinical and demographic variables. Results: Of the 26588 participants, 52% reported insomnia symptoms, and 38% had ICH. Women with insomnia symptoms had significantly lower odds of ICH after full adjustment for age, race/ethnicity, education, income, depression/anxiety, marital status, and sleep duration (OR [95% CI]: 0.73 [0.64-0.83]). Moreover, compared to women without insomnia symptoms, those with insomnia symptoms were significantly more likely to have hypertension, diabetes, hypercholesterolemia, depression, anxiety, currently smoke, drink one or more alcoholic beverages per day, have a BMI >30, or exercise less frequently. Conclusion: In older women, insomnia symptoms were significantly associated with lower odds of ideal cardiovascular health even after adjusting for socioeconomic status, psychosocial factors, and sleep duration. These results suggest insomnia screening may be an important component of cardiovascular health promotion in this patient population. Further research is needed to evaluate the effects of sleep behavioral interventions on improving ICH.

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