Association between Body Iron Status and Cognitive Task Performance in a Nationally Representative Sample of Older Adults.

Iron is an essential micronutrient that is necessary for proper cognitive function. However, the dose-response relationship between body iron status and cognitive function remains unclear. The objective of this study was to investigate the association between serum ferritin concentrations, an indicator of body iron status, and cognitive function in older adults. Based on the National Health and Nutrition Examination Survey (NHANES) 1999 -2002 in the United States, nationally representative data was collected from 2,567 adults aged 60 years and older who had objectively measured serum ferritin levels and cognitive performance. High ferritin levels were defined as a serum ferritin level >200 ng/mL in women and >300 ng/mL in men. Low ferritin levels were defined as a serum ferritin level <30 ng/mL. The digit symbol substitution test (DSST) was employed to assess cognitive function. Multivariable logistic regression analyses with survey weights were performed after the DSST was dichotomized at the median score. The weighted prevalence of adults with normal, low, and high serum ferritin levels were 73.98%, 9.12%, and 16.91%, respectively. A U-shaped association between serum ferritin concentrations and cognitive task performance was observed. After adjusting for demographic, socioeconomic, lifestyle, and C-reactive protein factors, the odds ratio (95% confidence intervals) for lower cognitive performance was 1.39 (1.11, 1.74) in adults with high ferritin levels and 1.38 (0.86, 2.22) in adults with low ferritin levels, compared with those with normal ferritin levels. The association between serum ferritin levels and lower cognitive performance was stronger in adults aged 60 to 69 years old than those aged 70 years and older. In conclusion, in a nationally representative sample of older adults in the United States, a high serum ferritin level was significantly associated with worse cognitive task performance. Thus, the relationship between low serum ferritin concentrations and cognitive task performance warrants further investigation.

Risk of Adverse Cardiovascular Outcomes in Postmenopausal Women with Inflammatory Bowel Disease.

BACKGROUND: Individuals with inflammatory bowel disease (IBD) who lack traditional cardiovascular disease (CVD) risk factors, such as young females, are observed to experience adverse CVD outcomes. Whether women with IBD have increased CVD risk after the menopause transition is unclear. METHODS: We conducted a survival analysis of Women's Health Initiative (WHI) participants and excluded those with missing IBD diagnosis, model covariate data, follow-up data, or a baseline history of the following CVD outcomes: coronary heart disease (CHD), ischemic stroke, venous thromboembolism (VTE), peripheral arterial disease (PAD). Risk of outcomes between IBD and non-IBD women was performed using Cox proportional hazard models, stratified by WHI trial and follow-up. Models were adjusted for age, socio-demographics, comorbidities (e.g., hypertension, diabetes, hypercholesterolemia, etc.), family history, and lifestyle factors (e.g., smoking, alcohol, physical activity, body mass index, etc.). RESULTS: Of 134,022 WHI participants meeting inclusion criteria, 1367 (1.0%) reported IBD at baseline. Mean baseline age was 63.4 years. After adjusting for age and other confounders, no significant difference was observed between IBD and non-IBD women for the risk of CHD (HR 0.96, 95% CI 0.73-1.24), VTE (HR 1.11, 95% CI 0.81-1.52) or PAD (HR 0.64, 95% CI 0.28-1.42). After adjusting for age, risk of ischemic stroke was significantly higher (HR 1.41, 95% CI 1.06-1.88) in IBD than non-IBD women. With further adjustment, the excess risk of ischemic stroke among IBD women was attenuated and no longer statistically significant (HR 1.31, 95% CI 0.98-1.76). CONCLUSIONS: Among postmenopausal women with IBD, risk of ischemic stroke may be higher than in non-IBD women.

Bilateral Oophorectomy and Colorectal Cancer Incidence and Mortality in the Women's Health Initiative.

BACKGROUND: The few cohort studies examining oophorectomy and colorectal cancer risk provide mixed results. Therefore, we examined this issue in Women's Health Initiative Observational Study participants. METHODS: A total of 71,312 postmenopausal women were followed for 22.1 years (median). At enrollment, 55,643 (78%) had intact ovaries and 15,669 (22%) had undergone a bilateral oophorectomy. Colorectal cancers were verified by central medical record review with mortality findings enhanced by National Death Index queries. RESULTS: With 1,421 incident colorectal cancers, 450 colorectal cancer-specific mortalities, after controlling for covariates, bilateral oophorectomy was not associated with colorectal cancer incidence or colorectal cancer mortality. CONCLUSIONS: No significant associations between oophorectomy and colorectal cancer incidence and mortality were seen in a large cohort study with long follow-up. IMPACT: As the oophorectomy and colorectal cancer question remains open, further studies of high quality, even with null findings, should be encouraged.

Association Between the Healthy Lifestyle Index and Risk of Multimorbidity in the Women's Health Initiative.

BACKGROUND: Multimorbidity, defined as the presence of 2 or more chronic health conditions, is increasingly common among older adults. The combination of lifestyle characteristics such as diet quality, smoking status, alcohol intake, physical activity (PA), sleep duration, and body fat as assessed by body mass index (BMI) or waist circumference, and risk of multimorbidity are not well understood. OBJECTIVES: We investigated the association between the healthy lifestyle index (HLI), generated by combining indicators of diet quality, smoking, alcohol, PA, sleep amount, and BMI, and risk of multimorbidity, a composite outcome that included cardiovascular disease (CVD), diabetes, cancer, and fracture. METHODS: We studied 62 037 postmenopausal women aged 50-79 years at enrollment in the Women's Health Initiative, with no reported history of CVD, diabetes, cancer, or fracture at baseline. Lifestyle characteristics measured at baseline were categorized and a score (0-4) was assigned to each category. The combined HLI (0-24) was grouped into quintiles, with higher quintiles indicating a healthier lifestyle. Multivariable adjusted estimates of hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the risk of developing multimorbidity were obtained using Cox proportional hazard models. RESULTS: Over an average follow-up period of 16.3 years, 5 656 women developed multimorbidity. There was an inverse association between the HLI levels and risk of multimorbidity (compared to the HLI_1st quintile: HR_2nd quintile = 0.81 95% CI 0.74-0.83, HR_3rd quintile = 0.77 95% CI 0.71-0.83, HR_4th quintile = 0.70 95% CI 0.64-0.76, and HR_5th quintile = 0.60 95% CI 0.54-0.66; p trend < .001). Similar associations were observed after stratification by age or BMI categories. CONCLUSIONS: Among postmenopausal women, higher levels of the HLI were associated with a reduced risk of developing multimorbidity.

Metabolomics Biomarkers for Fatty Acid Intake and Biomarker-Calibrated Fatty Acid Associations with Chronic Disease Risk in Postmenopausal Women.

BACKGROUND: A substantial observational literature relating specific fatty acid classes to chronic disease risk may be limited by its reliance on self-reported dietary data. OBJECTIVES: We aimed to develop biomarkers for saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA) fatty acid densities, and to study their associations with cardiovascular disease (CVD), cancer, and type 2 diabetes (T2D) in Women's Health Initiative (WHI) cohorts. METHODS: Biomarker equations were based primarily on serum and urine metabolomics profiles from an embedded WHI human feeding study (n = 153). Calibration equations were based on biomarker values in a WHI nutritional biomarker study (n = 436). Calibrated intakes were assessed in relation to disease incidence in larger WHI cohorts (n = 81,894). Participants were postmenopausal women, aged 50-79 when enrolled at 40 United States Clinical Centers (1993-1998), with a follow-up period of ∼20 y. RESULTS: Biomarker equations meeting criteria were developed for SFA, MUFA, and PUFA densities. That for SFA density depended somewhat weakly on metabolite profiles. On the basis of our metabolomics platforms, biomarkers were insensitive to trans fatty acid intake. Calibration equations meeting criteria were developed for SFA and PUFA density, but not for MUFA density. With or without biomarker calibration, SFA density was associated positively with risk of CVD, cancer, and T2D, but with small hazard ratios, and CVD associations were not statistically significant after controlling for other dietary variables, including trans fatty acid and fiber intake. Following this same control, PUFA density was not significantly associated with CVD risk, but there were positive associations for some cancers and T2D, with or without biomarker calibration. CONCLUSIONS: Higher SFA and PUFA diets were associated with null or somewhat higher risk for clinical outcomes considered in this population of postmenopausal United States women. Further research is needed to develop even stronger biomarkers for these fatty acid densities and their major components. This study is registered with clinicaltrials.gov identifier: NCT00000611.

Comparison of the Ketogenic Ratio of Macronutrients With the Low-Carbohydrate Diet Score and Their Association With Risk of Type 2 Diabetes in Postmenopausal Women: A Secondary Analysis of the Women's Health Initiative.

BACKGROUND: Previous attempts to identify low-carbohydrate diets (LCDs) in epidemiological studies relied on the LCD Score, which is unable to identify ketogenic dieters. Ketogenic ratios of macronutrients are clinical equations proposed to predict ketogenic diets; however, their utility in epidemiological studies is unknown. OBJECTIVE: To determine the number of participants consuming a ketogenic diet, compare ketogenic ratios to the LCD Score, and evaluate their association with type 2 diabetes mellitus (T2DM). DESIGN: Secondary analysis of the Women's Health Initiative with 17.9 ± 6.03 years of follow-up. Baseline food frequency questionnaires were used to calculate the ketogenic ratio as follows: (0.9 × grams fat + 0.46 × grams protein) / (0.1 × grams fat + 0.58 × grams protein + grams net carbohydrate), a value ≥1.5 is the minimum threshold for a ketogenic diet. PARTICIPANTS/SETTING: One hundred twenty-five nine hundred eighty-two postmenopausal women without diabetes (aged 50 to 79 years) enrolled in the multicenter Women's Health Initiative observational study and clinical trials were included. MAIN OUTCOME MEASURES: Risk of self-reported incident T2DM. STATISTICAL ANALYSES PERFORMED: Cox proportional hazards models, adjusted for age, race, ethnicity, education, income, health insurance, relationship status, geographic region, Women's Health Initiative study component, female hormone use, smoking status, alcohol use, recreational physical activity, total energy intake, diet quality, body mass index, hyperlipidemia, and hypertension, were used to compare hazard ratios and 95% CIs for T2DM among quintiles of the ketogenic ratio. RESULTS: A total of 18,775 incident cases of T2DM occurred. The median ketogenic ratio was 0.35 (interquartile range 0.28 to 0.42) and 15 individuals (0.01%) exceeded the threshold for a ketogenic diet. Higher ketogenic ratio quintiles were associated with increased risk of T2DM in a dose-dependent manner. Comparing extreme quintiles of the ketogenic ratio, the hazard ratio for diabetes was 1.24 (95% CI 1.18 to 1.31; Ptrend < 0.001) in fully adjusted models. Similarly, comparing extreme quintiles, the hazard ratio for diabetes was 1.36 (95% CI 1.29 to 1.43; Ptrend < 0.001) for the LCD Score and 1.13 (95% CI 1.07 to 1.19; Ptrend < 0.001) for the simplified ketogenic ratio in fully adjusted models. CONCLUSIONS: Increasing ketogenic ratio values are associated with increased risk of T2DM and align well with LCD Scores; however, too few participants consumed a ketogenic diet to determine its association with T2DM.

Chocolate Consumption in Relation to All-Cause and Cause-Specific Mortality in Women: The Women's Health Initiative.

BACKGROUND: Chocolate contains both potentially harmful components (ie, stearic acid and added sugar) and beneficial components (ie, phenolics and flavonoids). Despite its popularity, the long-term health effects of chocolate consumption remain unclear. OBJECTIVE: The aim of this study was to examine the association of chocolate consumption with all-cause and cause-specific mortality. DESIGN: This was a prospective cohort study. PARTICIPANTS/SETTING: This study included 84,709 postmenopausal women free of cardiovascular disease (CVD) and cancer at baseline in the observational study and clinical trials control arms of the prospective Women's Health Initiative cohort who were enrolled during 1993 through 1998. These women were followed through March 2018. MAIN OUTCOME MEASURES: The outcomes included all-cause mortality and cause-specific mortality from CVD, cancer, and dementia. STATISTICAL ANALYSES PERFORMED: Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs) of all-cause mortality and cause-specific mortality. RESULTS: During 1,608,856 person-years of follow-up (mean [SD] of 19.0 [4.2] years), 25,388 deaths occurred, including 7,069 deaths from CVD, 7,030 deaths from cancer, and 3,279 deaths from dementia. After adjustment for a variety of covariates, compared with no chocolate consumption, the HRs (95% CI) for all-cause mortality were 0.95 (0.92 to 0.98), 0.93 (0.89 to 0.96), 0.97 (0.90 to 1.04), and 0.90 (0.84 to 0.97) for <1 serving/wk, 1 to 3 servings/wk, 4 to 6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend = .02). For CVD mortality, compared with no chocolate consumption, the HRs (95% CI) were 0.96 (0.91 to 1.01), 0.88 (0.82 to 0.95), 1.06 (0.93 to 1.21), and 0.92 (0.80 to 1.05) for <1 serving/wk, 1 to 3servings/wk, 4 to 6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend =.45). For dementia mortality, compared with no chocolate consumption, the HRs (95% CI) were 0.91 (0.84 to 0.99), 0.89 (0.80 to 0.99), 0.97 (0.79 to 1.18), and 0.97 (0.80 to 1.18) for <1 serving/wk, 1 to 3 servings/wk, 4-6 servings/wk, and ≥1 serving/d of chocolate consumption, respectively (P for trend = .95). Chocolate consumption was not associated with cancer mortality. CONCLUSIONS: The results suggest a modest inverse association of chocolate consumption with mortality from all causes, CVD, or dementia, specifically for moderate chocolate consumption of 1 to 3 servings/wk.

Changes in Dietary Intake of Methionine, Folate/Folic Acid and Vitamin B12 and Survival in Postmenopausal Women with Breast Cancer: A Prospective Cohort Study.

BACKGROUND: Previous experimental studies showed that limiting methionine in the diet of animals or in cell culture media suppresses mammary cancer cell proliferation or metastasis. However, no previous study has investigated the associations of changes in methionine intake with survival among breast cancer survivors. We aimed to examine the association between changes in dietary intake of methionine, folate/folic acid, and vitamin B12 from before to after diagnosis of breast cancer, and mortality among breast cancer survivors. METHODS: We included 1553 postmenopausal women from the Women's Health Initiative who were diagnosed with invasive breast cancer and completed a food frequency questionnaire both before and after breast cancer diagnosis. Multivariable Cox proportional hazards regression models were used to estimate adjusted hazard ratios (HRs) and 95% confidence (CIs) of all-cause and breast cancer mortality associated with changes in methionine intake and changes in folate/folic acid and vitamin B12 intake. RESULTS: Relative to pre-diagnosis, 28% of women decreased methionine intake by ≥20%, 30% of women increased methionine intake by ≥20%, and 42% of women had a relatively stable methionine intake (±19.9%) following breast cancer diagnosis. During a mean 16.1 years of follow up, there were 772 deaths in total, including 195 deaths from breast cancer. Compared to women with relatively stable methionine intake, women with decreased methionine intake had lower risks of all-cause (HR 0.78, 95% CI 0.62-0.97) and breast cancer mortality (HR 0.58, 95% CI 0.37-0.91) in fully adjusted models. In contrast, increased methionine intake or changes in folate/folic acid or vitamin B12 intake were not associated with all-cause or breast cancer mortality. CONCLUSIONS: Among breast cancer survivors, decreased methionine intake after breast cancer diagnosis was associated with lower risk of all-cause and breast cancer mortality.

Biomarker-Calibrated Red and Combined Red and Processed Meat Intakes with Chronic Disease Risk in a Cohort of Postmenopausal Women.

BACKGROUND: The associations of red and processed meat with chronic disease risk remain to be clarified, in part because of measurement error in self-reported diet. OBJECTIVES: We sought to develop metabolomics-based biomarkers for red and processed meat, and to evaluate associations of biomarker-calibrated meat intake with chronic disease risk among postmenopausal women. METHODS: Study participants were women who were members of the Women's Health Initiative (WHI) study cohorts. These participants were postmenopausal women aged 50-79 y when enrolled during 1993-1998 at 40 US clinical centers with embedded human feeding and nutrition biomarker studies. Literature reports of metabolomics correlates of meat consumption were used to develop meat intake biomarkers from serum and 24-h urine metabolites in a 153-participant feeding study (2010-2014). Resulting biomarkers were used in a 450-participant biomarker study (2007-2009) to develop linear regression calibration equations that adjust FFQ intakes for random and systematic measurement error. Biomarker-calibrated meat intakes were associated with cardiovascular disease, cancer, and diabetes incidence among 81,954 WHI participants (1993-2020). RESULTS: Biomarkers and calibration equations meeting prespecified criteria were developed for consumption of red meat and red plus processed meat combined, but not for processed meat consumption. Following control for nondietary confounding factors, hazard ratios were calculated for a 40% increment above the red meat median intake for coronary artery disease (HR: 1.10; 95% CI: 1.07, 1.14), heart failure (HR: 1.26; 95% CI: 1.20, 1.33), breast cancer (HR: 1.10; 95% CI: 1.07, 1.13) for, total invasive cancer (HR: 1.07; 95% CI: 1.05, 1.09), and diabetes (HR: 1.37; 95% CI: 1.34, 1.39). HRs for red plus processed meat intake were similar. HRs were close to the null, and mostly nonsignificant following additional control for dietary potential confounding factors, including calibrated total energy consumption. CONCLUSIONS: A relatively high-meat dietary pattern is associated with somewhat higher chronic disease risks. These elevations appear to be largely attributable to the dietary pattern, rather than to consumption of red or processed meat per se.

Association of Premature Menopause With Risk of Abdominal Aortic Aneurysm in the Women's Health Initiative.

OBJECTIVE: To determine if premature menopause and early menarche are associated with increased risk of AAA, and to explore potential effect modification by smoking history. SUMMARY OF BACKGROUND DATA: Despite worse outcomes for women with AAA, no studies have prospectively examined sex-specific risk factors, such as premature menopause and early menarche, with risk of AAA in a large, ethnically diverse cohort of women. METHODS: This was a post-hoc analysis of Women's Health Initiative participants who were beneficiaries of Medicare Parts A&B fee-for-service. AAA cases and interventions were identified from claims data. Follow-up period included Medicare coverage until death, end of follow-up or end of coverage inclusive of 2017. RESULTS: Of 101,119 participants included in the analysis, the mean age was 63 years and median follow-up was 11.3 years. Just under 10,000 (9.4%) women experienced premature menopause and 22,240 (22%) experienced early men-arche. Women with premature menopause were more likely to be overweight, Black, have >20 pack years of smoking, history of cardiovascular disease, hypertension, and early menarche. During 1,091,840 person-years of follow-up, 1125 women were diagnosed with AAA, 134 had premature menopause (11.9%), 93 underwent surgical intervention and 45 (48%) required intervention for ruptured AAA. Premature menopause was associated with increased risk of AAA [hazard ratio 1.37 (1.14, 1.66)], but the association was no longer significant after multivariable adjustment for demographics and cardiovascular disease risk factors. Amongst women with ≥20 pack year smoking history (n = 19,286), 2148 (11.1%) had premature menopause, which was associated with greater risk of AAA in all models [hazard ratio 1.63 (1.24, 2.23)]. Early menarche was not associated with increased risk of AAA. CONCLUSIONS: This study finds that premature menopause may be an important risk factor for AAA in women with significant smoking history. There was no significant association between premature menopause and risk of AAA amongst women who have never smoked. These results suggest an opportunity to develop strategies for better screening, risk reduction and stratification, and outcome improvement in the comprehensive vascular care of women.

Analgesic Use and Circulating Estrogens, Androgens, and Their Metabolites in the Women's Health Initiative Observational Study.

Though studies have observed inverse associations between use of analgesics (aspirin, NSAIDs, and acetaminophen) and the risk of several cancers, the potential biological mechanisms underlying these associations are unclear. We investigated the relationship between analgesic use and serum concentrations of estrogens, androgens, and their metabolites among postmenopausal women to provide insights on whether analgesic use might influence endogenous hormone levels, which could in turn influence hormone-related cancer risk. The study included 1,860 postmenopausal women from two case-control studies nested within the Women's Health Initiative Observational Study. Analgesic use was reported at study baseline. Fifteen estrogens and estrogen metabolites and 12 androgens and androgen metabolites were quantified in baseline serum by LC/MS-MS. Linear regression with inverse probability weighting, stratified by menopausal hormone therapy (MHT) use, was used to estimate adjusted geometric mean concentrations of each hormone by analgesic use. Among women not currently using MHT (n = 951), low-dose aspirin (<100 mg) use was associated with a higher serum concentration of estrone, estradiol, and 2, 4, and 16 hydroxylated metabolites. Use of regular-dose aspirin (≥100 mg), non-aspirin NSAIDs, and acetaminophen was not associated with serum concentrations of estrogens, androgens, or their metabolites. This study highlights the importance of examining aspirin use by dose and suggests that low-dose aspirin may influence endogenous estrogen concentrations. PREVENTION RELEVANCE: This study explores a potential pathway by which analgesic medications such as aspirin may prevent hormone-related cancers. The findings support a positive association between low-dose aspirin use and endogenous estrogens, indicating that further elucidation of the interplay between low-dose aspirin, estrogen concentrations, and cancer risk is needed.

Association of Patient-Reported Physician Awareness of Complementary Medicine, Medical Care Experience and Care Quality.

The aim was to examine the association of patient-reported physician awareness of biological CAM use and patient perceptions of care experience and quality with a population-based study of patients with incident lung and colorectal cancer. This was a secondary data analysis using regression models. Outcomes of interest were patient reports of medical care experience and quality ratings. Among 716 patients who reported biological CAM use, 69% reported their physicians were aware of this. Patients who reported physician awareness of biological CAM use had higher adjusted scores for medical care experience ( + 5.4, 95%CI:2.3,8.6) and care quality ( + 3.6, 95%CI:-0.3, + 7.5). These associations suggest that physicians should be encouraged to inquire about biological CAM use.

Association Between Frequency of Eating Away-From-Home Meals and Risk of All-Cause and Cause-Specific Mortality.

BACKGROUND: Dining out is a popular activity worldwide. Evidence on the association between eating meals away from home and long-term health outcomes is still limited. OBJECTIVE: The objective of this study was to examine the association of frequency of eating meals prepared away from home with all-cause and cause-specific mortality. PARTICIPANTS/SETTING: This study included 35,084 adults aged 20 years or older from the National Health and Nutritional Examination Survey 1999-2014, who reported their dietary habits including frequency of eating meals prepared away from home in a questionnaire during face-to-face household interviews. MAIN OUTCOME MEASURES: All-cause mortality, cardiovascular mortality, and cancer mortality were ascertained by linkage to death records through December 31, 2015. STATISTICAL ANALYSES PERFORMED: Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios of mortality from all-cause, cardiovascular, and cancer mortality. RESULTS: During 291,475 person-years of follow-up, 2,781 deaths occurred, including 511 deaths from cardiovascular disease and 638 death from cancer. After adjustment for age, sex, race/ethnicity, socioeconomic status, dietary and lifestyle factors, and body mass index, the hazard ratio of mortality among participants who ate meals prepared away from home very frequently (2 meals or more per day) compared with those who seldom ate meals prepared away from home (fewer than 1 meal/wk) was 1.49 (95% CI 1.05 to 2.13) for all-cause mortality, 1.18 (95% CI 0.55 to 2.55) for cardiovascular mortality, and 1.67 (95% CI 0.87 to 3.21) for cancer mortality. CONCLUSIONS: Frequent consumption of meals prepared away from home is significantly associated with increased risk of all-cause mortality. The association of eating meals prepared away from home with cardiovascular mortality and cancer mortality warrants additional investigation.

Association of Major Dietary Protein Sources With All-Cause and Cause-Specific Mortality: Prospective Cohort Study.

Background Dietary recommendations regarding protein intake have been focused on the amount of protein. However, such recommendations without considering specific protein sources may be simplistic and insufficient. Methods and Results We included 102 521 postmenopausal women enrolled in the Women's Health Initiative between 1993 and 1998, and followed them through February 2017. During 1 876 205 person-years of follow-up, 25 976 deaths occurred. Comparing the highest with the lowest quintile, plant protein intake was inversely associated with all-cause mortality (hazard ratio [HR], 0.91 [0.86, 0.96]), cardiovascular disease mortality (HR, 0.88 [0.79, 0.97]), and dementia mortality (HR, 0.79 [0.67, 0.94]). Among major protein sources, comparing the highest with the lowest quintile of consumption, processed red meat (HR, 1.06 [1.01, 1.10]) or eggs (HR, 1.14 [1.10, 1.19]) was associated with higher risk of all-cause mortality. Unprocessed red meat (HR, 1.12 [1.02, 1.23]), eggs (HR, 1.24 [1.14, 1.34]), or dairy products (HR, 1.11 [1.02, 1.22]) was associated with higher risk of cardiovascular disease mortality. Egg consumption was associated with higher risk of cancer mortality (HR, 1.10 [1.02, 1.19]). Processed red meat consumption was associated with higher risk of dementia mortality (HR, 1.20 [1.05, 1.32]), while consumption of poultry (HR, 0.85 [0.75, 0.97]) or eggs (HR, 0.86 [0.75, 0.98]) was associated with lower risk of dementia mortality. In substitution analysis, substituting of animal protein with plant protein was associated with a lower risk of all-cause mortality, cardiovascular disease mortality, and dementia mortality, and substitution of total red meat, eggs, or dairy products with nuts was associated with a lower risk of all-cause mortality. Conclusions Different dietary protein sources have varying associations with all-cause mortality, cardiovascular disease mortality, and dementia mortality. Our findings support the need for consideration of protein sources in future dietary guidelines.

Hysterectomy, Oophorectomy, and Risk of Renal Cell Carcinoma.

BACKGROUND: Female hormones may play roles during renal cell carcinoma (RCC) carcinogenesis. The aims of this study were to investigate associations between hysterectomy, oophorectomy, and risk of RCC and to assess whether the associations were modified by exogenous estrogen, commonly used among women who have undergone hysterectomy. METHODS: Postmenopausal women (n = 144,599) ages 50-79 years at enrollment (1993-1998) in the Women's Health Initiative were followed for a mean of 15.9 years. Hysterectomy and oophorectomy were self-reported. Incident RCC cases were confirmed by physician review of medical records and pathology reports. Multivariable Cox proportional hazards modeling was used to estimate hazard ratios (HR) and 95% confidence intervals (CI), adjusting for potential confounders. RESULTS: A total of 583 women developed RCC during follow-up. We observed that hysterectomy, regardless of oophorectomy status, was significantly associated with an increased risk of RCC (HR, 1.28; 95% CI, 1.03-1.60). The association appeared to be more pronounced in women with age at hysterectomy younger than 40 years (HR, 1.34; 95% CI, 1.01-1.80) or older than 55 years (HR, 1.52; 95% CI, 1.01-2.29). Oophorectomy was not significantly associated with risk of RCC. There was no evidence that exogenous estrogen use modified the association between hysterectomy and risk of RCC. CONCLUSIONS: In this large prospective study, we showed that women with a history of hysterectomy had 28% increased risk of RCC, and this finding was not modified by exogenous hormone use. IMPACT: If our findings are confirmed, women should be made aware of increased risk of RCC when considering hysterectomy.

Lipoprotein(a) levels and risk of abdominal aortic aneurysm in the Women's Health Initiative.

OBJECTIVE: Few studies have prospectively examined the associations of lipoprotein(a) [Lp(a)] levels with the risk of abdominal aortic aneurysm (AAA), especially in women. Accounting for commonly recognized risk factors, we investigated the baseline Lp(a) levels and the risk of AAA among postmenopausal women participating in the ongoing national Women's Health Initiative. METHODS: Women's Health Initiative participants with baseline Lp(a) levels available who were beneficiaries of Medicare parts A and B fee-for-service at study enrollment or who had aged into Medicare at any point were included. Participants with missing covariate data or known AAA at baseline were excluded. Thoracic aneurysms were excluded owing to the different pathophysiology. The AAA cases and interventions were identified using the International Classification of Diseases, 9th and 10th revision, codes and Current Procedural Terminology codes from claims data. Hazard ratios were computed using Cox proportional hazard models according to the quintiles of Lp(a). RESULTS: The mean age of the 6615 participants included in the analysis was 65.3 years. Of the 6615 participants, 66.6% were non-Hispanic white, 18.9% were black, 7% were Hispanic and 4.7% were Asian/Pacific Islander. Compared with the participants in the lowest Lp(a) quintile, those in higher quintiles were more likely to be overweight, black, and former or current smokers, to have hypertension, hyperlipidemia, and a history of cardiovascular disease, and to use menopausal hormone therapy and statins. During 65,476 person-years of follow-up, with a median of 10.4 years, 415 women had been diagnosed with an AAA and 36 had required intervention. More than one half had required intervention for a ruptured AAA. We failed to find a statistically significant association between Lp(a) levels and incident AAA. Additional sensitivity analyses stratified by race, with exclusion of statin users and alternative categorizations of Lp(a) using log-transformed levels, tertiles, and a cutoff of >50 mg/dL, were conducted, which did not reveal any significant associations. CONCLUSIONS: We found no statistically significant association between Lp(a) levels and the risk of AAA in a large and well-phenotyped sample of postmenopausal women. Women with high Lp(a) levels were more likely to be overweight, black, and former or current smokers, and to have hypertension, hyperlipidemia, and a history of cardiovascular disease, or to use hormone therapy and statins compared with those with lower Lp(a) levels. These findings differ from previous prospective, case-control, and meta-analysis studies that had supported a significant relationship between higher Lp(a) levels and an increased risk of AAA. Differences in the association could have resulted from study limitations or sex differences.

Breast cancer endocrine therapy adherence in health professional shortage areas: Unique effects on patients with mental illness.

OBJECTIVE: Evaluate whether breast cancer endocrine therapy adherence is affected by access to primary and mental health care, particularly among at-risk patients with mental illness. METHODS: The study included 21,892 SEER-Medicare women aged 68 or older with stage I-IV ER+ breast cancer, 2007 to 2013. Patient home counties during breast cancer diagnosis, if evaluated for HPSA care shortage status, were categorized as least, moderate, or highest shortage; unevaluated counties (no known shortage) were a fourth category. Endocrine therapy initiation and discontinuation were analyzed with Cox regression, and daily adherence with longitudinal linear regression. RESULTS: After multivariate adjustment, patients in high primary care shortage counties were less likely to initiate endocrine therapy, reference least shortage [HR 0.92 (95% CI 0.86-0.97)]. Unevaluated counties had more oncologists per capita, fewer residents below the federal poverty level, and higher incomes. Mental health shortages were not associated with outcomes, however subgroups living in unevaluated counties were less likely to discontinue: patients with bipolar and psychotic disorders [discontinuation HR 0.35 (95% CI 0.17-0.73)], substance use [HR 0.48 (95% CI 0.24-0.95)], anxiety disorders [HR 0.56 (95% CI 0.35-0.90)]. CONCLUSIONS: Poor primary care access was associated with a lower likelihood of initiating endocrine therapy but living in counties without established mental health shortages may reduce the harmful association between mental illness and incomplete treatment receipt. Patients with mental illness may be more equipped to complete cancer treatment if given better mental health care access, suggesting a need for care coordination between primary and mental health care.

Association Between Depressive Symptoms and Incident Cardiovascular Diseases.

Importance: It is uncertain whether depressive symptoms are independently associated with subsequent risk of cardiovascular diseases (CVDs). Objective: To characterize the association between depressive symptoms and CVD incidence across the spectrum of lower mood. Design, Setting, and Participants: A pooled analysis of individual-participant data from the Emerging Risk Factors Collaboration (ERFC; 162 036 participants; 21 cohorts; baseline surveys, 1960-2008; latest follow-up, March 2020) and the UK Biobank (401 219 participants; baseline surveys, 2006-2010; latest follow-up, March 2020). Eligible participants had information about self-reported depressive symptoms and no CVD history at baseline. Exposures: Depressive symptoms were recorded using validated instruments. ERFC scores were harmonized across studies to a scale representative of the Center for Epidemiological Studies Depression (CES-D) scale (range, 0-60; ≥16 indicates possible depressive disorder). The UK Biobank recorded the 2-item Patient Health Questionnaire 2 (PHQ-2; range, 0-6; ≥3 indicates possible depressive disorder). Main Outcomes and Measures: Primary outcomes were incident fatal or nonfatal coronary heart disease (CHD), stroke, and CVD (composite of the 2). Hazard ratios (HRs) per 1-SD higher log CES-D or PHQ-2 adjusted for age, sex, smoking, and diabetes were reported. Results: Among 162 036 participants from the ERFC (73%, women; mean age at baseline, 63 years [SD, 9 years]), 5078 CHD and 3932 stroke events were recorded (median follow-up, 9.5 years). Associations with CHD, stroke, and CVD were log linear. The HR per 1-SD higher depression score for CHD was 1.07 (95% CI, 1.03-1.11); stroke, 1.05 (95% CI, 1.01-1.10); and CVD, 1.06 (95% CI, 1.04-1.08). The corresponding incidence rates per 10 000 person-years of follow-up in the highest vs the lowest quintile of CES-D score (geometric mean CES-D score, 19 vs 1) were 36.3 vs 29.0 for CHD events, 28.0 vs 24.7 for stroke events, and 62.8 vs 53.5 for CVD events. Among 401 219 participants from the UK Biobank (55% were women, mean age at baseline, 56 years [SD, 8 years]), 4607 CHD and 3253 stroke events were recorded (median follow-up, 8.1 years). The HR per 1-SD higher depression score for CHD was 1.11 (95% CI, 1.08-1.14); stroke, 1.10 (95% CI, 1.06-1.14); and CVD, 1.10 (95% CI, 1.08-1.13). The corresponding incidence rates per 10 000 person-years of follow-up among individuals with PHQ-2 scores of 4 or higher vs 0 were 20.9 vs 14.2 for CHD events, 15.3 vs 10.2 for stroke events, and 36.2 vs 24.5 for CVD events. The magnitude and statistical significance of the HRs were not materially changed after adjustment for additional risk factors. Conclusions and Relevance: In a pooled analysis of 563 255 participants in 22 cohorts, baseline depressive symptoms were associated with CVD incidence, including at symptom levels lower than the threshold indicative of a depressive disorder. However, the magnitude of associations was modest.

Association of Cannabis Use With All-Cause and Cause-Specific Mortality Among Younger- and Middle-Aged U.S. Adults.

INTRODUCTION: Cannabis is frequently used and increasingly legalized in the U.S., and 27.7 million Americans aged ≥12 years are currently using cannabis. However, the public health effects of cannabis use in the general population remain unclear. This study examines the associations of cannabis use with all-cause and cause-specific mortality in U.S. adults. METHODS: The study included 14,818 adults (aged 20-59 years) who participated in the National Health and Nutrition Examination Survey from 2005 to 2014 and were free of cardiovascular disease or cancer at baseline. Survey participants were linked to mortality records through December 31, 2015. The outcomes included all-cause mortality, cardiovascular disease mortality, and cancer mortality. All statistical analyses were conducted in 2019. RESULTS: During 86,453 person-years of observation, 304 deaths occurred, including 39 deaths from cardiovascular disease and 79 deaths from cancer. After adjustment for a variety of potential confounders, the hazard ratios for all-cause mortality, cardiovascular disease mortality, and cancer mortality among cannabis ever users, compared with the ratios among nonusers, were 1.14 (95% CI=0.81, 1.59), 2.29 (95% CI=1.10, 4.78), and 0.67 (95% CI=0.40, 1.14), respectively. The hazard ratios for cardiovascular disease mortality among cannabis users, compared with those among nonusers, were 1.65 (95% CI=0.57, 4.89) if the use was first initiated at age ≥18 years and 3.00 (95% CI=1.41, 6.38) if the use was first initiated before age 18 years. CONCLUSIONS: Cannabis use was significantly associated with an increased risk of cardiovascular disease mortality among U.S. adults, especially among those who started using cannabis before age 18 years. The reasons and mechanisms underlying this association will require future research.

Association of Prediagnostic Frailty, Change in Frailty Status, and Mortality After Cancer Diagnosis in the Women's Health Initiative.

Importance: Understanding changes in frailty in relation to cancer diagnosis can inform optimal selection of cancer treatments and survivorship care. Objective: To investigate associations of prediagnostic frailty and change in frailty status with mortality after a cancer diagnosis. Design, Setting, and Participants: This multicenter, prospective cohort study included 7257 community-dwelling, postmenopausal women in the United States who had frailty assessed at the Women's Health Initiative (WHI) enrollment (1993-1998) and the 3-year visit who were subsequently diagnosed as having invasive cancer. The data were analyzed from January 7, 2019, to June, 8, 2020. Exposure: Frailty scores were defined from validated questionnaire items conceptually aligned with the Fried frailty phenotype, including at least 3 of the following characteristics: self-reported unintentional weight loss, exhaustion, low physical activity, and muscle weakness or impaired walking. Physical function components of the frailty score were updated a median of 10 (range, 1-18) times. Main Outcomes and Measures: Using multivariable-adjusted Cox proportional hazards models, this study examined associations of prediagnostic frailty (at the 3-year visit, before cancer diagnosis) and prediagnostic changes in frailty (from enrollment to the 3-year visit) with mortality. Women were followed up beginning from cancer diagnosis for mortality outcomes through March 2018. In linear mixed-effects models with frailty scores as a function of time since cancer diagnosis, this study evaluated whether the time slope, ie, the rate of change in frailty score, increased after cancer diagnosis. Results: This study included 7257 women in the WHI cohort who completed frailty assessments at enrollment and the 3-year WHI visit before cancer diagnosis and subsequently developed cancer. Cancer cases included 2644 breast cancers (36%), 822 lung cancers (11%), 691 colorectal cancers (10%), 445 endometrial cancers (6%), and 286 ovarian cancers (4%). At the 3-year visit, prior to cancer diagnosis, the mean (SD) age was 63 (7) years, and 1161 of 7257 (16%) of participating women met criteria for frailty; 2129 of 7257 (29%) were prefrail, and 3967 of 7257 (55%) were nonfrail. Over a median follow-up of 5.8 years after cancer diagnosis (range, 1 day to 19.9 years), 3056 women died. After multivariable adjustment, women who were frail (vs nonfrail) before cancer diagnosis had an increased risk of mortality after cancer diagnosis (hazard ratio [HR], 1.40; 95% CI, 1.26-1.55; P for trend <.001). Sustained frailty (21% [1537 of 7257] of women) or worsening frailty (22% [1578 of 7257]) vs being consistently nonfrail (45% [3266 of 7257]) before cancer diagnosis increased the risk of mortality after cancer diagnosis (HR, 1.25; 95% CI, 1.14-1.38 and 1.22; 95% CI, 1.11-1.34, respectively; P for trend <.001). In linear mixed-effects models, the rate of increase in physical frailty over time was statistically significantly higher after cancer diagnosis. Conclusions and Relevance: Sustained and worsening frailty before cancer diagnosis was associated with an increased risk of mortality after cancer diagnosis in postmenopausal women. Furthermore, the rate of decline in physical function accelerated after cancer diagnosis. Frailty assessment could provide valuable information and perhaps prompt interventions to reduce and preempt worsening of physical frailty after cancer diagnosis.