Patient characteristics associated with delayed time to adjuvant chemotherapy among women treated for stage I-IIIA breast cancer.

For patients with breast cancer, delays in chemotherapy initiation have been adversely associated with recurrence and survival. We evaluated patient-level factors associated with delayed chemotherapy initiation, from both diagnosis and surgery, in a community-based cohort of women with early-stage breast cancer. For the Optimal Breast Cancer Chemotherapy Dosing study, we identified a cohort of 34,109 women diagnosed with stage I-IIIA breast cancer at two U.S. integrated healthcare delivery systems between 2004 and 2019. We used logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) to identify patient factors associated with delays in chemotherapy initiation after diagnosis (≥90 days) and surgery (≥60 days). Among 10,968 women receiving adjuvant chemotherapy, 21.1% experienced delays in chemotherapy initiation after diagnosis and 21.3% after surgery. Older age, non-Hispanic Black and Hispanic race and ethnicity, and ER+ and/or PR+ disease were associated with increased likelihood of delays to chemotherapy initiation after diagnosis and surgery. People diagnosed in 2012-2019 (vs. 2005-2011), with a higher grade and larger tumor size were less likely to experience delays. Other factors were associated with a higher likelihood of delays specifically from diagnosis (earlier stage, mastectomy vs. breast-conserving surgery), or surgery (higher comorbidity, increased nodal number). Women diagnosed with breast cancer who were at highest risk of progression and recurrence were less likely to experience delays in chemotherapy initiation after diagnosis and surgery. Understanding reasons for chemotherapy delays beyond patient factors may be potentially important to reduce risk of breast cancer recurrence and progression.

Trends in chemotherapy use for early-stage breast cancer from 2006 to 2019.

BACKGROUND: Little is known about how use of chemotherapy has evolved in breast cancer patients. We therefore describe chemotherapy patterns for women with stage I-IIIA breast cancer in the Optimal Breast Cancer Chemotherapy Dosing (OBCD) Study using data from KPNC (Kaiser Permanente Northern California) and KPWA (Kaiser Permanente Washington). FINDINGS: Among 33,670 women, aged 18 + y, diagnosed with primary stage I-IIIA breast cancer at KPNC and KPWA from 2006 to 2019, we explored patterns of intravenous chemotherapy use, defined here as receipt of intravenous cytotoxic drugs and/or anti-HER2 therapies. We evaluated trends in chemotherapy receipt, duration over which chemotherapy was received, and number of associated infusion visits. In secondary analyses, we stratified by receipt of anti-HER2 therapies (trastuzumab and/or pertuzumab), given their longer duration. 38.9% received chemotherapy intravenously, declining from 40.2% in 2006 to 35.6% in 2019 (p-trend < 0.001). Among 13,089 women receiving chemotherapy, neoadjuvant treatment increased (4.1-14.7%; p-trend < 0.001), as did receipt of anti-HER2 therapies (20.8-30.9%) (p-trend < 0.001). The average treatment duration increased (5.3 to 6.0 months; p-trend < 0.001), as did the number of infusion visits (10.8 to 12.5; p-trend < 0.001). For those receiving anti-HER2 therapies, treatment duration and average number of visits decreased; among those not receiving anti-HER2 therapies, number of visits increased, with no change in duration. CONCLUSIONS: While the prevalence of chemotherapy receipt has decreased over time, the use of neoadjuvant chemotherapy has increased, as has use of anti-HER2 therapies; duration and number of administration visits have also increased. Understanding these trends is useful to inform clinical and administrative planning.

Methodology for Using Real-World Data From Electronic Health Records to Assess Chemotherapy Administration in Women With Breast Cancer.

PURPOSE: Identification of patients' intended chemotherapy regimens is critical to most research questions conducted in the real-world setting of cancer care. Yet, these data are not routinely available in electronic health records (EHRs) at the specificity required to address these questions. We developed a methodology to identify patients' intended regimens from EHR data in the Optimal Breast Cancer Chemotherapy Dosing (OBCD) study. METHODS: In women older than 18 years, diagnosed with primary stage I-IIIA breast cancer at Kaiser Permanente Northern California (2006-2019), we categorized participants into 24 drug combinations described in National Comprehensive Cancer Network guidelines for breast cancer treatment. Participants were categorized into 50 guideline chemotherapy administration schedules within these combinations using an iterative algorithm process, followed by chart abstraction where necessary. We also identified patients intended to receive nonguideline administration schedules within guideline drug combinations and nonguideline drug combinations. This process was adapted at Kaiser Permanente Washington using abstracted data (2004-2015). RESULTS: In the OBCD cohort, 13,231 women received adjuvant or neoadjuvant chemotherapy, of whom 10,213 (77%) had their intended regimen identified via the algorithm, 2,416 (18%) had their intended regimen identified via abstraction, and 602 (4.5%) could not be identified. Across guideline drug combinations, 111 nonguideline dosing schedules were used, alongside 61 nonguideline drug combinations. A number of factors were associated with requiring abstraction for regimen determination, including: decreasing neighborhood household income, earlier diagnosis year, later stage, nodal status, and human epidermal growth factor receptor 2 (HER2)+ status. CONCLUSION: We describe the challenges and approaches to operationalize complex, real-world data to identify intended chemotherapy regimens in large, observational studies. This methodology can improve efficiency of use of large-scale clinical data in real-world populations, helping answer critical questions to improve care delivery and patient outcomes.

Low physical function following cancer diagnosis is associated with higher mortality risk in postmenopausal women.

BACKGROUND: Postmenopausal women with cancer experience an accelerated physical dysfunction beyond what is expected through aging alone due to cancer and its treatments. The aim of this study was to determine whether declines in physical function after cancer diagnosis are associated with all-cause mortality and cancer-specific mortality. METHODS: This prospective cohort study included 8068 postmenopausal women enrolled in the Women's Health Initiative with a cancer diagnosis and who had physical function assessed within 1 year of that diagnosis. Self-reported physical function was measured using the 10-item physical function subscale of the 36-Item Short Form Health Survey. Cause of death was determined by medical record review, with central adjudication and linkage to the National Death Index. Death was adjudicated through February 2022. RESULTS: Over a median follow-up of 7.7 years from cancer diagnosis, 3316 (41.1%) women died. Our results showed that for every 10% difference in the physical function score after cancer diagnosis versus pre-diagnosis, all-cause mortality and cancer-specific mortality were reduced by 12% (hazard ratio [HR] = 0.88, 95% confidence interval [95% CI] = 0.87 to 0.89 and HR = 0.88, 95% CI = 0.86 to 0.91, respectively). Further categorical analyses showed a significant dose-response relationship between postdiagnosis physical function categories and mortality outcomes (P < .001 for trend), where the median survival time for women in the lowest physical function quartile was 9.1 years (Interquartile range [IQR] = 8.6-10.6 years) compared with 18.4 years (IQR = 15.8-22.0 years) for women in the highest physical function quartile. CONCLUSION: Postmenopausal women with low physical function after cancer diagnosis may be at higher risk of mortality from all causes and cancer-related mortality.

Differences in Smoking Behavior by Nativity, Race/Ethnicity, and Education among Women Diagnosed with Breast Cancer.

BACKGROUND: We evaluated smoking differences across nativity and race/ethnicity among women diagnosed with breast cancer. METHODS: In our Northern Californian pooled population of 5,653 [670 Asian, 690 Hispanic, and 4,300 non-Hispanic White (White)] women diagnosed with breast cancer, we evaluated smoking differences across nativity, race/ethnicity, and acculturation and effect modification of nativity by race/ethnicity and education. RESULTS: Foreign-born women currently smoked less than US-born women [odds ratio (OR) = 0.46, 95% confidence limit (CL): 0.29-0.72]. Hispanic (OR = 0.50; 95% CL: 0.32-0.78) women currently smoked less than White women. Among those who ever smoked (n = 2,557), foreign-born women smoked 5.23 fewer pack-years (PY) than US-born women (95% CL: -2.75 to -7.70). Furthermore, Asian (-4.60, 95% CL: -0.81 to -8.39) and Hispanic (-6.79, 95% CL: -4.14 to -9.43) women smoked fewer PY than White women. Associations were generally suggestive of greater smoking with greater acculturation (immigration age, US years, survey language). Finally, associations for nativity differed by education but not race/ethnicity, with a higher likelihood of smoking in US-born women only among those with less than a bachelor's degree (OR = 2.84, 95% CL: 2.15-3.77; current smoking: P = 0.01, PY: P = 0.05). CONCLUSIONS: Asian and Hispanic (vs. White) and foreign-born (vs. US-born) breast cancer survivors reported fewer smoking behaviors. Smoking differences across nativity and education were driven by higher rates of smoking in US-born women with lower educational attainment. IMPACT: Smoking behavioral patterns were similar among breast cancer survivors and the general population, informing potential smoking interventions.

Traditional Mexican dietary pattern and cancer risk among women of Mexican descent.

PURPOSE: To examine the association of a traditional Mexican diet score with risk of total, breast, and colorectal cancer among women of Mexican ethnic descent in the Women's Health Initiative (WHI). METHODS: Participants were WHI enrollees who self-identified as being of Mexican descent. Data from food frequency questionnaires self-administered at study baseline were used to calculate the MexD score, with higher scores indicating greater adherence to an a priori-defined traditional Mexican diet (high in dietary fiber, vegetables, and legumes). Incident cancers were self-reported by participants from 1993 to 2020 and adjudicated by trained physicians. We used multivariable-adjusted Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Among 2,343 Mexican descent women (median baseline age: 59 years), a total of 270 cancers (88 breast, 37 colorectal) occurred during a mean follow-up of 14.4 years. The highest tertile of MexD score was associated with a lower risk of all-cancer incidence (HR: 0.67; 95% CI 0.49-0.91; p-trend: 0.01) and colorectal cancer (HR: 0.38; 95% CI 0.14-0.998; p-trend < 0.05), with each unit increase in the MexD score associated with a 6% lower risk of all-cancer incidence (HR: 0.94; 95% CI 0.88-0.99). There was no statistically significant association with risk of breast cancer. CONCLUSION: Consumption of a traditional Mexican diet was associated with a significantly lower risk of all-cancer incidence and colorectal cancer. Confirmation of these findings in future studies is important, given the prevalence of colorectal cancer and a growing U.S. population of women of Mexican descent.

Evaluation of Algorithms Using Automated Health Plan Data to Identify Breast Cancer Recurrences.

BACKGROUND: We updated algorithms to identify breast cancer recurrences from administrative data, extending previously developed methods. METHODS: In this validation study, we evaluated pairs of breast cancer recurrence algorithms (vs. individual algorithms) to identify recurrences. We generated algorithm combinations that categorized discordant algorithm results as no recurrence [High Specificity and PPV (positive predictive value) Combination] or recurrence (High Sensitivity Combination). We compared individual and combined algorithm results to manually abstracted recurrence outcomes from a sample of 600 people with incident stage I-IIIA breast cancer diagnosed between 2004 and 2015. We used Cox regression to evaluate risk factors associated with age- and stage-adjusted recurrence rates using different recurrence definitions, weighted by inverse sampling probabilities. RESULTS: Among 600 people, we identified 117 recurrences using the High Specificity and PPV Combination, 505 using the High Sensitivity Combination, and 118 using manual abstraction. The High Specificity and PPV Combination had good specificity [98%, 95% confidence interval (CI): 97-99] and PPV (72%, 95% CI: 63-80) but modest sensitivity (64%, 95% CI: 44-80). The High Sensitivity Combination had good sensitivity (80%, 95% CI: 49-94) and specificity (83%, 95% CI: 80-86) but low PPV (29%, 95% CI: 25-34). Recurrence rates using combined algorithms were similar in magnitude for most risk factors. CONCLUSIONS: By combining algorithms, we identified breast cancer recurrences with greater PPV than individual algorithms, without additional review of discordant records. IMPACT: Researchers should consider tradeoffs between accuracy and manual chart abstraction resources when using previously developed algorithms. We provided guidance for future studies that use breast cancer recurrence algorithms with or without supplemental manual chart abstraction.

Caregiving and all-cause mortality in postmenopausal women: Findings from the Women's Health Initiative.

BACKGROUND: Caregiving is commonly undertaken by older women. Research is mixed, however, about the impact of prolonged caregiving on their health, well-being, and mortality risk. Using a prospective study design, we examined the association of caregiving with mortality in a cohort of older women. METHODS: Participants were 158,987 postmenopausal women aged 50-79 years at enrollment into the Women's Health Initiative (WHI) who provided information on current caregiving status and caregiving frequency at baseline (1993-1998) and follow-up (2004-2005). Mortality was ascertained from baseline through March of 2019. Cox regression with caregiving status defined as a time-varying exposure was used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for mortality, adjusting for sociodemographic factors, smoking, and history of diabetes, hypertension, cardiovascular disease (CVD), and cancer. Stratified analyses explored whether age, race-ethnicity, depressive symptoms, frequency of caregiving, optimism, and living status modified the association between caregiver status and mortality. RESULTS: At baseline, 40.7% of women (mean age 63.3 years) self-identified as caregivers. During a mean 17.5-year follow-up, all-cause mortality (50,526 deaths) was 9% lower (multivariable-adjusted HR = 0.91, 95% CI: 0.89-0.93) in caregivers compared to non-caregivers. The inverse association between caregiving and all-cause mortality did not differ according to caregiving frequency or when stratified by age, race-ethnicity, depressive symptoms, optimism, or living status (interaction p > 0.05, all). Caregiving was inversely associated with CVD and cancer mortality. CONCLUSION: Among postmenopausal women residing across the United States, caregiving was associated with lower mortality. Studies detailing the type and amount of caregiving are needed to further determine its impact on older women.

Stressful life events, social support, and epigenetic aging in the Women's Health Initiative.

BACKGROUND: Elevated psychosocial stress has been linked with accelerated biological aging, including composite DNA methylation (DNAm) markers that predict aging-related outcomes ("epigenetic age"). However, no study has examined whether stressful life events (SLEs) are associated with epigenetic age acceleration in postmenopausal women, an aging population characterized by increased stress burden and disease risk. METHODS: We leveraged the Women's Health Initiative, a large muti-ancestry cohort of postmenopausal women with available psychosocial stress measures over the past year and epigenomic data. SLEs and social support were ascertained via self-report questionnaires. Whole blood DNAm array (450 K) data were used to calculate five DNAm-based predictors of chronological age, health span and life span, and telomere length (HorvathAge, HannumAge, PhenoAge, GrimAge, DNAmTL). RESULTS: After controlling for potential confounders, higher SLE burden was significantly associated with accelerated epigenetic aging, as measured by GrimAge (ß: 0.34, 95% CI: 0.08, 0.59) and DNAmTL (ß: -0.016, 95% CI: -0.028, -0.004). Exploratory analyses showed that SLEs-GrimAge associations were stronger in Black women as compared to other races/ethnicities and in those with lower social support levels. In women with lower social support, SLEs-DNAmTL associations showed opposite association in Hispanic women as compared to other race/ethnicity groups. CONCLUSIONS: Our findings suggest that elevated stress burden is associated with accelerated epigenetic aging in postmenopausal women. Lower social support and/or self-reported race/ethnicity may modify the association of stress with epigenetic age acceleration. These findings advance understanding of how stress may contribute to aging-related outcomes and have important implications for disease prevention and treatment in aging women.

Asian American Enclaves and Healthcare Accessibility: An Ecologic Study Across Five States.

INTRODUCTION: Access to primary care has been a long-standing priority for improving population health. Asian Americans, who often settle in ethnic enclaves, have been found to underutilize health care. Understanding geographic primary care accessibility within Asian American enclaves can help to ensure the long-term health of this fast-growing population. METHODS: U.S. Census data from five states (California, Florida, New Jersey, New York, and Texas) were used to develop and describe census-tract level measures of Asian American enclaves and social and built environment characteristics for years 2000 and 2010. The 2-step floating catchment area method was applied to National Provider Identifier data to develop a tract-level measure of geographic primary care accessibility. Analyses were conducted in 2022-2023, and associations between enclaves (versus nonenclaves) and geographic primary care accessibility were evaluated using multivariable Poisson regression with robust variance estimation, adjusting for potential area-level confounders. RESULTS: Of 24,482 census tracts, 26.1% were classified as Asian American enclaves. Asian American enclaves were more likely to be metropolitan and have less poverty, lower crime, and lower proportions of uninsured individuals than nonenclaves. Asian American enclaves had higher primary care accessibility than nonenclaves (adjusted prevalence ratio=1.23, 95% CI=1.17, 1.29). CONCLUSIONS: Asian American enclaves in five of the most diverse and populous states in the U.S. had fewer markers of disadvantage and greater geographic primary care accessibility. This study contributes to the growing body of research elucidating the constellation of social and built environment features within Asian American enclaves and provides evidence of health-promoting characteristics of these neighborhoods.

Evaluation of approaches to recruitment of racially and ethnically diverse breast cancer patients from an integrated health care setting for collection of observational social network data.

PURPOSE: We compared approaches to recruitment of diverse women with breast cancer in a study designed to collect complex social network data. METHODS: We recruited 440 women from the Kaiser Permanente Northern California population newly diagnosed with breast cancer, either in person at a clinic, by email, or by mailed letter. In clinic and mail recruitment, women completed a brief 3-page paper survey (epidemiologic data only), and women had the option to complete a separate, longer (30-40 min) personal social network survey online. In email recruitment, we administered epidemiologic and personal social network measures together in a single online survey. In email and mail recruitment, we limited the sample of non-Hispanic white (NHW) women to 30% of their total. We used descriptive analysis and multinomial logistic regression to examine odds of recruitment vs. mailed letter. RESULTS: Women responded to the social network surveys on average 3.7 months post-diagnosis. Mean age was 59.3 (median = 61.0). In-person clinic recruitment was superior with a 52.1% success rate of recruitment compared with 35.6% by mail or 17.3% by email (χ2 = 65.9, p < 0.001). Email recruitment produced the highest completion rate (82.1%) of personal network data compared with clinic (36.5%) or mail (28.7%), (χ2 = 114.6, p < 0.001). Despite intentional undersampling of NHW patients, response rates for Asian, Hispanic, and Black women by email were lower. However, we found no significant differences in recruitment rates by race and ethnicity for face-to-face clinic recruitment vs. by letter. Letter recruitment produced the highest overall response. CONCLUSION: Mailed letter was the best approach to representative recruitment of diverse women with breast cancer and collection of social network data, and further yielded the highest absolute response.

Resiliency Among Women's Health Initiative Women Aged 80 and Older by Race, Ethnicity, and Neighborhood Socioeconomic Status.

OBJECTIVES: A comprehensive examination of resilience by race, ethnicity, and neighborhood socioeconomic status (NSES) among women aged ≥80 is needed, given the aging of the U.S. population, increasing longevity, and growing racial and ethnic diversity. METHODS: Participants were women aged ≥80 enrolled in the Women's Health Initiative. Resilience was assessed with a modified version of the Brief Resilience Scale. Descriptive statistics and multiple linear regression examined the association of demographic, health, and psychosocial variables with resilience by race, ethnicity, and NSES. RESULTS: Participants (n = 29,367, median age = 84.3) were White (91.4%), Black (3.7%), Hispanic (1.9%), and Asian (1.7%) women. There were no significant differences by race and ethnicity on mean resiliency scores (p = .06). Significant differences by NSES were observed regarding mean resiliency scores between those with low NSES (3.94 ± 0.83, out of 5) and high NSES (4.00 ± 0.81). Older age, higher education, higher self-rated health, lower stress, and living alone were significant positive correlates of resilience in the sample. Social support was correlated with resilience among White, Black, and Asian women, but not for Hispanic women. Depression was a significant correlate of lower resilience, except among Asian women. Living alone, smoking, and spirituality were significantly associated with higher resilience among women with moderate NSES. DISCUSSION: Multiple factors were associated with resilience among women aged ≥80 in the Women's Health Initiative. Despite some differing correlates of resilience by race, ethnicity, and NSES, there were many similarities. These results may aid in the design of resilience interventions for the growing, increasingly diverse population of older women.

Association between dietary inflammatory potential and mortality after cancer diagnosis in the Women's Health Initiative.

BACKGROUND: Chronic inflammation is implicated in cancer prognosis and can be modulated by diet. We examined associations between post-diagnosis dietary inflammatory potential and mortality outcomes among post-menopausal women diagnosed with cancer in the Women's Health Initiative (WHI). METHODS: Energy-adjusted dietary inflammatory index scores (E-DII) were calculated from dietary and supplemental intake data collected on the first food frequency questionnaire following the diagnosis of primary invasive cancer for 3434 women in the WHI. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for risk of death from any cause, cancer, cardiovascular disease (CVD) and other causes by post-diagnosis quartiles of E-DII. Subgroup analyses by cancer stage and grade were performed. RESULTS: There were 1156 deaths after a median 13 years of follow-up from the date of a cancer diagnosis. In the multivariable-adjusted analyses, a more anti-inflammatory diet plus supplements after cancer diagnosis was associated with lower all-cause mortality, cancer mortality, CVD mortality and mortality from other causes with HRsQ1vs.Q4 ranging from 0.47 to 0.68 (all P-trends < 0.05). Associations were stronger for cancers diagnosed at more distant stages or moderately differentiated grades. CONCLUSION: A more anti-inflammatory diet plus supplements after a cancer diagnosis may improve survival for post-menopausal cancer survivors.

Association of Social Support with Mild Cognitive Impairment and Dementia Among Older Women: The Women's Health Initiative Memory Study.

BACKGROUND: Social support may be a modifiable risk factor for cognitive impairment. However, few long-term, large prospective studies have examined associations of various forms of social support with incident mild cognitive impairment (MCI) and dementia. OBJECTIVE: To examine associations of perceived social support with incident MCI and dementia among community-dwelling older women. METHODS: This prospective cohort study included 6,670 women from the Women's Health Initiative Memory Study who were cognitively unimpaired at enrollment. We used Cox proportional hazards models to assess associations between perceived social support with incident MCI, dementia, or either MCI/dementia during an average 10.7 (SD = 6.1)-year follow-up. Modelling was repeated for emotional/information support, affection support, tangible support, and positive social interaction subscales of social support. RESULTS: Among 6,670 women (average age = 70 years [SD = 3.8]; 97.0% non-Hispanic/Latina; 89.8% White), greater perceived social support was associated with lower risk of MCI/dementia after adjustment for age, ethnicity, race, hormone therapy, education, income, diabetes, hypertension, and body mass index (Tertile [T]3 versus T1: HR = 0.85, 95% CI 0.74-0.99; ptrend = 0.08). Associations were significant for emotional/information support (T3 versus T1: HR = 0.84, 95% CI 0.72-0.97; ptrend = 0.04) and positive social interaction (T3 versus T1: HR = 0.85, 95% CI 0.73-0.99; ptrend = 0.06) subscales. Associations were attenuated and not significant after adjustment for depressive symptom severity. OBJECTIVE: Perceived social support, emotional/information support, and positive social interaction were associated with incident MCI/dementia among older women. Results were not significant after adjustment for depressive symptom severity. Improving social support may reduce risk of MCI and dementia in older women.

Social Support, social ties, and cognitive function of women with breast cancer: findings from the Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) Study.

PURPOSE: This study examined associations between self-reported cognitive functioning and social support as well as social ties among women with breast cancer. METHODS: The study included 3351 women from the Women's Health Initiative Life and Longevity After Cancer cohort who were diagnosed with breast cancer stages I-III. Social support was assessed using a modified Medical Outcomes Study (MOS) Social Support Survey, and marital status was obtained from the baseline questionnaire. We also assessed social ties (e.g., number of friends, relatives, living children) and cognitive function (Functional Assessment of Cancer Therapy-Cognitive Function [FACT-COG]) on the year-1-follow up questionnaire. Multivariable quantile regression was used to estimate the changes in median cognitive scores. Kruskal-Wallis tests were used to assess the association of cognitive function with social ties. RESULTS: The majority of participants were non-Hispanic White (93.3%), presently married (49%), with at least a 4-year college degree (53.2%), and had been diagnosed with localized breast cancer (79%). A 10-point higher social support score correlated to a 0.32 higher (better) median cognitive score (p < 0.001). Women who were presently married tended to have better cognition than women who were divorced/separated or widowed (p = 0.01). Significant associations were also present for having close relatives (p < 0.001) or friends (p < 0.001), with cognitive scores being higher in those with at least one close relative or friend compared to none. CONCLUSION: Women reporting higher social support and greater numbers of friends or relatives have higher cognitive functioning. Compared to divorced or separated women, married women were likely to have higher cognitive functioning. These findings suggest that social support assessments have the potential to help identify women at higher risk of cognitive decline.

Racial differences in anthropometric measures as risk factors for triple-negative breast cancer.

PURPOSE: The incidence of triple-negative breast cancer (TNBC) is higher in Black women compared to White women which is not explained by racial differences in body mass index (BMI). As BMI has limitations as an anthropometric measure, we used different anthropometric measures to examine associations with TNBC by race. METHOD: Of 161,808 postmenopausal participants in Women's Health Initiative, eligible were a subsample of 121,744 White and Black postmenopausal women enrolled from 1993 to 1998, 50-79 years of age with anthropometric measures who were followed for breast cancer incidence until March 2019. At entry, BMI, waist circumference (WC), and waist-hip ratio (WHR) were measured using standardized methods. Breast cancers were verified by central medical record review. Associations between anthropometric measures and triple-negative breast cancer risk were examined using Cox proportional hazards regression models. RESULTS: After 17.6 years (median) follow-up, there were 87 Black women and 529 White women with incident triple-negative breast cancer. Overall, there were no significant associations between anthropometric measures and risk of triple-negative breast cancer. However, compared to White women with normal BMI, White women with obesity (BMI ≥ 30) (HR 0.76, 95% CI 0.60, 0.96) were significantly associated with a lower risk of triple-negative breast cancer. And larger waist circumference (HR per centimeter 0.99, 95% CI 0.99, 1.00) was significantly associated with a lower risk of triple-negative breast cancer among White women. CONCLUSION: Overall, among postmenopausal women, anthropometric measures were not associated with risk of TNBC. The association among White women with larger waist circumference and women with obesity with a lower risk of triple-negative breast cancer needs further confirmation.

Role of dietary patterns and acculturation in cancer risk and mortality among postmenopausal Hispanic women: results from the Women's Health Initiative (WHI).

Aim: To investigate the association between dietary patterns and total and obesity-related cancers risk. Additionally, to examine if acculturation modifies this relationship. Subject and Methods: Dietary intake of postmenopausal Hispanic women (N=5,482) enrolled in the Women's Health Initiative was estimated from a Food Frequency Questionnaire and used to calculate dietary pattern scores; Healthy Eating Index-2015 (HEI-2015), Mexican Diet (MexD) score, alternate Mediterranean Diet Score (aMED), and the energy adjusted-Dietary Inflammatory Index (E-DII™). Associations were evaluated using Cox proportional hazards regression models. Results: 631 cancers and 396 obesity-related cancers were diagnosed over a mean-follow up of 12 years. Across dietary scores, there were no significant associations with cancer risk or mortality. Trend analysis suggest a potentially lower risk for total cancer related to the highest MexD score (HR 0.68, 95% CI 0.45-1.04, P-trend=0.03), and lower risk for obesity-related cancer mortality related to the highest score category for MexD (HR 0.65, 95% CI 0.37-1.16, P-trend=0.02), and aMED (HR 0.87, 95% CI 0.45-1.67, P-trend=0.04). Further analysis suggests less acculturated women with higher MexD scores had 56% lower risk for any cancer (HR 0.44, 95% CI 0.22-0.88, P-trend=0.03) and 83% lower risk for cancer mortality (HR 0.17, 95% CI 0.04-0.76, P-trend=0.01) compared to more acculturated Hispanic women. Conclusions: Dietary patterns were not associated with cancer risk and mortality in postmenopausal Hispanic women. Less-acculturated, Spanish-preferred speakers, who reported consuming a more traditional Mexican diet may experience a lower risk for cancer and cancer mortality.

Association of Global Cognitive Function With Psychological Distress and Adherence to Public Health Recommendations During the Coronavirus Disease 2019 Pandemic: The Women's Health Initiative.

BACKGROUND: The association of cognitive function with symptoms of psychological distress during the coronavirus disease 2019 (COVID-19) pandemic or adherence to COVID-19 protective health behaviors is not well-understood. METHODS: We examined 2 890 older women from the Women's Health Initiative cohort. Prepandemic (ie, within 12 months prior to pandemic onset) and peripandemic global cognitive function scores were assessed with the modified Telephone Interview for Cognitive Status (TICS-m). Anxiety, stress, and depressive symptom severity during the pandemic were assessed using validated questionnaires. We examined adherence to protective behaviors that included safe hygiene, social distancing, mask wearing, and staying home. Multivariable models were adjusted for age, race, ethnicity, education, region of residence, alcohol intake, and comorbidities. RESULTS: Every 5-point lower prepandemic TICS-m score was associated with 0.33-point mean higher (95% confidence interval [CI], 0.20, 0.45) perceived stress and 0.20-point mean higher (95% CI, 0.07, 0.32) depressive symptom severity during the pandemic. Higher depressive symptom severity, but not anxiety or perceived stress, was associated with a 0.69-point (95% CI, -1.13, -0.25) mean decline in TICS-m from the prepandemic to peripandemic period. Every 5-point lower peripandemic TICS-m score was associated with 12% lower odds ratio (OR, 0.88; 95% CI, 0.80, 0.97) of practicing safe hygiene. CONCLUSIONS: Among older women, we observed that: (a) lower prepandemic global cognitive function was associated with higher stress and depressive symptom severity during the pandemic; (b) higher depressive symptom severity during the pandemic was associated with cognitive decline; and (c) lower global cognitive function during the pandemic was associated with lower odds of practicing safe hygiene.

Evaluation of Social Isolation, Loneliness, and Cardiovascular Disease Among Older Women in the US.

Importance: Social isolation and loneliness are increasing public health concerns and have been associated with increased risk of cardiovascular disease (CVD) among older adults. Objective: To examine the associations of social isolation and loneliness with incident CVD in a large cohort of postmenopausal women and whether social support moderated these associations. Design, Setting, and Participants: This prospective cohort study, conducted from March 2011 through March 2019, included community-living US women aged 65 to 99 years from the Women's Health Initiative Extension Study II who had no history of myocardial infarction, stroke, or coronary heart disease. Exposures: Social isolation and loneliness were ascertained using validated questionnaires. Main Outcomes and Measures: The main outcome was major CVD, which was physician adjudicated using medical records and included coronary heart disease, stroke, and death from CVD. Continuous scores of social isolation and loneliness were analyzed. Hazard ratios (HRs) and 95% CIs for CVD were calculated for women with high social isolation and loneliness scores (midpoint of the upper half of the distribution) vs those with low scores (midpoint of the lower half of the distribution) using multivariable Cox proportional hazards regression models adjusting for age, race and ethnicity, educational level, and depression and then adding relevant health behavior and health status variables. Questionnaire-assessed social support was tested as a potential effect modifier. Results: Among 57 825 women (mean [SD] age, 79.0 [6.1] years; 89.1% White), 1599 major CVD events occurred over 186 762 person-years. The HR for the association of high vs low social isolation scores with CVD was 1.18 (95% CI, 1.13-1.23), and the HR for the association of high vs low loneliness scores with CVD was 1.14 (95% CI, 1.10-1.18). The HRs after additional adjustment for health behaviors and health status were 1.08 (95% CI, 1.03-1.12; 8.0% higher risk) for social isolation and 1.05 (95% CI, 1.01-1.09; 5.0% higher risk) for loneliness. Women with both high social isolation and high loneliness scores had a 13.0% to 27.0% higher risk of incident CVD than did women with low social isolation and low loneliness scores. Social support was not a significant effect modifier of the associations (social isolation × social support: r, -0.18; P = .86; loneliness × social support: r, 0.78; P = .48). Conclusions and Relevance: In this cohort study, social isolation and loneliness were independently associated with modestly higher risk of CVD among postmenopausal women in the US, and women with both social isolation and loneliness had greater CVD risk than did those with either exposure alone. The findings suggest that these prevalent psychosocial processes merit increased attention for prevention of CVD in older women, particularly in the era of COVID-19.

Cardiometabolic risk factors, physical activity, and postmenopausal breast cancer mortality: results from the Women's Health Initiative.

BACKGROUND: Higher physical activity levels are associated with lower breast cancer-specific mortality. In addition, the metabolic syndrome is associated with higher breast cancer-specific mortality. Whether the physical activity association with breast cancer mortality is modified by number of metabolic syndrome components (cardiometabolic risk factors) in postmenopausal women with early-stage breast cancer remains unknown. METHODS: Cardiovascular risk factors included high waist circumference, hypertension, high cholesterol, and diabetes. Breast cancers were verified by medical record review. Mortality finding were enhanced by serial National Death Index queries. Cox proportional hazards regression models were used to estimate associations between baseline physical activity and subsequent breast cancer-specific and overall mortality following breast cancer diagnosis in Women's Health Initiative participants. These associations were examined after stratifying by cardiometabolic risk factor group. RESULTS: Among 161,308 Women's Health Initiative (WHI) participants, 8543 breast cancers occurred after 9.5 years (median) follow-up in women, additionally with information on cardiometabolic risk factors and physical activity at entry. In multi-variable analyses, as measured from cancer diagnosis, higher physical activity levels were associated with lower all-cause mortality risk (hazard ratio [HR] 0.86, 95% confidence interval [CI] 0.78-0.95, trend P < 0.001) but not with breast cancer-specific mortality (HR 0.85, 95% CI 0.70 to 1.04, trend P = 0.09). The physical activity and all-cause mortality association was not significantly modified by cardiometabolic risk factor number. CONCLUSIONS: Among women with early-stage breast cancer, although higher antecedent physical activity was associated with lower risk of all-cause mortality, the association did not differ by cardiometabolic risk factor number.