Race/Ethnicity, Socioeconomic Status, and Lifetime Morbidity Burden in the Women's Health Initiative: A Cross-Sectional Analysis

2006 ◽  
Vol 15 (10) ◽  
pp. 1161-1173 ◽  
Author(s):  
Rachel Gold ◽  
Yvonne L. Michael ◽  
Evelyn P. Whitlock ◽  
F. Allan Hubbell ◽  
Ellen D. Mason ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Women's Health ◽  
Cross Sectional ◽  
Morbidity Burden ◽  
Women's Health Initiative ◽  
Health Initiative ◽  
Cross Sectional Analysis ◽  
Race Ethnicity ◽  
Sectional Analysis ◽  
The Women’S Health Initiative

scholarly journals Resilience and CVD-protective Health Behaviors in Older Women: Examining Racial and Ethnic Differences in a Cross-Sectional Analysis of the Women’s Health Initiative

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2107
Author(s):  
Sparkle Springfield ◽  
FeiFei Qin ◽  
Haley Hedlin ◽  
Charles B. Eaton ◽  
Milagros C. Rosal ◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Behaviors ◽  
Women’S Health ◽  
Women's Health ◽  
Cross Sectional ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Race Ethnicity ◽  
The Women’S Health Initiative

Little is known about the relationship between self-reported psychological resilience (resilience) and health behaviors shown to reduce the risk of cardiovascular disease (CVD). This study examines the associations between resilience and CVD-related risk factors, such as diet, smoking, physical activity, sleep, and alcohol consumption among older American women from diverse backgrounds. Methods: A cross-sectional secondary analysis was conducted on 77,395 women (mean age 77 years, Black (N = 4475, 5.8%), non-Hispanic white (N = 69,448, 89.7%), Latina (N = 1891, 2.4%), and Asian or Pacific Islander (N = 1581, 2.0%)) enrolled in the Women’s Health Initiative Extension Study II. Resilience was measured using an abbreviated version of the brief resilience scale. Multivariable logistic regression models were used to evaluate the association between resilience and health behaviors associated with risk for CVD, while adjusting for stressful life events and sociodemographic information. To test whether these associations varied among racial/ethnic groups, an interaction term was added to the fully adjusted models between resilience and race/ethnicity. Results: High levels of resilience were associated with better diet quality (top 2 quintiles of the Healthy Eating Index 2015) (OR = 1.22 (95% Confidence Interval (1.15–1.30)), adhering to recommended physical activity (≥ 150 min per week) (1.56 (1.47, 1.66)), sleeping the recommended hours per night (7–9) (1.36 (1.28–1.44)), and moderate alcohol intake (consuming alcoholic drink(s) 1–7 days per week) (1.28 (1.20–1.37)). The observed association between resilience and sleep is modified by race/ethnicity (p = 0.03). Conclusion: Irrespective of race/ethnicity, high resilience was associated with CVD-protective health behaviors. This warrants further investigation into whether interventions aimed at improving resilience could increase the effectiveness of lifestyle interventions.

scholarly journals Accuracy of self-reported weight in the Women’s Health Initiative

2018 ◽  
Vol 22 (06) ◽  
pp. 1019-1028 ◽  
Author(s):  
Juhua Luo ◽  
Cynthia A Thomson ◽  
Michael Hendryx ◽  
Lesley F Tinker ◽  
JoAnn E Manson ◽  
...  
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
Individual Characteristics ◽  
Average Weight ◽  
Obese Women ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
Race Ethnicity ◽  
The Women’S Health Initiative

AbstractObjectiveTo assess the extent of error present in self-reported weight data in the Women’s Health Initiative, variables that may be associated with error, and to develop methods to reduce any identified error.DesignProspective cohort study.SettingForty clinical centres in the USA.ParticipantsWomen (n 75 336) participating in the Women’s Health Initiative Observational Study (WHI-OS) and women (n 6236) participating in the WHI Long Life Study (LLS) with self-reported and measured weight collected about 20 years later (2013–2014).ResultsThe correlation between self-reported and measured weights was 0·97. On average, women under-reported their weight by about 2 lb (0·91 kg). The discrepancies varied by age, race/ethnicity, education and BMI. Compared with normal-weight women, underweight women over-reported their weight by 3·86 lb (1·75 kg) and obese women under-reported their weight by 4·18 lb (1·90 kg) on average. The higher the degree of excess weight, the greater the under-reporting of weight. Adjusting self-reported weight for an individual’s age, race/ethnicity and education yielded an identical average weight to that measured.ConclusionsCorrelations between self-reported and measured weights in the WHI are high. Discrepancies varied by different sociodemographic characteristics, especially an individual’s BMI. Correction of self-reported weight for individual characteristics could improve the accuracy of assessment of obesity status in postmenopausal women.

scholarly journals CHARACTERISTICS OF WOMEN REPORTING INFERTILITY IN THE WOMEN’S HEALTH INITIATIVE: CROSS-SECTIONAL STUDY

2021 ◽  
Vol 116 (3) ◽  
pp. e405-e406
Author(s):  
Ange Wang ◽  
Feifei Qin ◽  
Haley Hedlin ◽  
Robert A. Wild ◽  
Rachel Peragallo Urrutia ◽  
...  
Keyword(s):  
Women’S Health ◽  
Women's Health ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Women's Health Initiative ◽  
Women’S Health Initiative ◽  
Health Initiative ◽  
The Women’S Health Initiative
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