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Objective: To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic., Study Design: Cross-sectional survey., Methods: An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7)., Results: Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79-18.60), cancer (OR = 8.47; 95% CI = 3.73-19.30), and emergency (OR = 14.2; 95% CI = 5.57-36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52-0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL., Conclusions: ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic., (Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.)

Background: Few studies have evaluated the association between early life adiposity and ovarian cancer risk. Adiposity during different periods of life may be differentially associated with the risk., Patients and Methods: We prospectively followed 133 526 women in the Nurses' Health Study (NHS; 1980-2012) and NHSII (1989-2013). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident ovarian cancer (N = 788) according to validated measures for early life adiposity [body mass index (BMI) at age 10 imputed from somatotype and recalled BMI at age 18) as well as BMI change between age 10 and 18 and after age 18 (current weight assessed on every biennial questionnaire since baseline)., Results: After mutual adjustment for BMI at age 10, BMI at age 18 and current BMI, the HR (95% CI) for ovarian cancer risk per 5 kg/m2 was 0.84 (0.74-0.96) for BMI at age 10 (P-trend = 0.01), 1.17 (1.03-1.33) for BMI at age 18 (P-trend = 0.02), and 1.06 (0.99-1.14) for current BMI (P-trend = 0.08). However, the inverse association with BMI at age 10 was attenuated after adjusting for BMI change between age 10 and 18 and BMI change after age 18 (HR per 5 kg/m2: 1.04; 95% CI 0.91-1.20; P-trend = 0.55). By contrast, BMI change between age 10 and 18 was strongly positively associated with ovarian cancer risk (HR per 5 kg/m2 increase: 1.24; 95% CI 1.11-1.39; P-trend = 0.0002), whereas BMI change since age 18 was only slightly associated with risk (HR per 5 kg/m2 increase: 1.06; 95% CI 0.99-1.14; P-trend = 0.10). These associations were in general stronger for premenopausal cases or non-serous tumors., Conclusion: Early life changes in adiposity were more strongly associated with ovarian cancer risk than adulthood changes. The specific mechanisms underlying the associations with adiposity changes during early life warrant further investigation., (© The Author(s) 2018. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Epidemiological studies have examined breast cancer risk in relation to sex hormone concentrations measured by different methods: "extraction" immunoassays (with prior purification by organic solvent extraction, with or without column chromatography), "direct" immunoassays (no prior extraction or column chromatography), and more recently with mass spectrometry-based assays. We describe the associations of estradiol, estrone and testosterone with both body mass index and breast cancer risk in postmenopausal women according to assay method, using data from a collaborative pooled analysis of 18 prospective studies. In general, hormone concentrations were highest in studies that used direct assays and lowest in studies that used mass spectrometry-based assays. Estradiol and estrone were strongly positively associated with body mass index, regardless of the assay method; testosterone was positively associated with body mass index for direct assays, but less clearly for extraction assays, and there were few data for mass spectrometry assays. The correlations of estradiol with body mass index, estrone and testosterone were lower for direct assays than for extraction and mass spectrometry assays, suggesting that the estimates from the direct assays were less precise. For breast cancer risk, all three hormones were strongly positively associated with risk regardless of assay method (except for testosterone by mass spectrometry where there were few data), with no statistically significant differences in the trends, but differences may emerge as new data accumulate. Future epidemiological and clinical research studies should continue to use the most accurate assays that are feasible within the design characteristics of each study., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Associations between circulating concentrations of oestrogens, progesterone, and androgens with breast cancer and related risk factors in premenopausal women are not well understood. We aimed to characterise these associations with a pooled analysis of data from seven studies., Methods: Individual participant data for prediagnostic sex hormone and sex hormone-binding globulin (SHBG) concentrations were contributed from seven prospective studies. We restricted analyses to women who were premenopausal and younger than 50 years at blood collection, and to women with breast cancer diagnosed before age 50 years. We estimated odds ratios (ORs) with 95% CIs for breast cancer associated with hormone concentrations by conditional logistic regression in cases and controls matched for age, date of blood collection, and day of cycle, with stratification by study and further adjustment for cycle phase. We examined associations of hormones with risk factors for breast cancer in control women by comparing geometric mean hormone concentrations in categories of these risk factors, adjusted for study, age, phase of menstrual cycle, and body-mass index (BMI). All statistical tests were two-sided., Findings: We included data for up to 767 women with breast cancer and 1699 controls in the risk analyses. Breast cancer risk was associated with a doubling in concentrations of oestradiol (OR 1·19, 95% CI 1·06-1·35), calculated free oestradiol (1·17, 1·03-1·33), oestrone (1·27, 1·05-1·54), androstenedione (1·30, 1·10-1·55), dehydroepiandrosterone sulphate (1·17, 1·04-1·32), testosterone (1·18, 1·03-1·35), and calculated free testosterone (1·08, 0·97-1·21). Breast cancer risk was not associated with luteal phase progesterone (doubling in concentration OR 1·00, 95% CI 0·92-1·09), and adjustment for other factors had little effect on any of these ORs. Cross-sectional analyses in control women showed several associations of sex hormones with breast cancer risk factors., Interpretation: Circulating oestrogens and androgens are positively associated with the risk for breast cancer in premenopausal women., (Copyright © 2013 Endogenous Hormones and Breast Cancer Collaborative Group. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd. All rights reserved.)

Background: Breast cancer risk for postmenopausal women is positively associated with circulating concentrations of oestrogens and androgens, but the determinants of these hormones are not well understood., Methods: Cross-sectional analyses of breast cancer risk factors and circulating hormone concentrations in more than 6000 postmenopausal women controls in 13 prospective studies., Results: Concentrations of all hormones were lower in older than younger women, with the largest difference for dehydroepiandrosterone sulphate (DHEAS), whereas sex hormone-binding globulin (SHBG) was higher in the older women. Androgens were lower in women with bilateral ovariectomy than in naturally postmenopausal women, with the largest difference for free testosterone. All hormones were higher in obese than lean women, with the largest difference for free oestradiol, whereas SHBG was lower in obese women. Smokers of 15+ cigarettes per day had higher levels of all hormones than non-smokers, with the largest difference for testosterone. Drinkers of 20+ g alcohol per day had higher levels of all hormones, but lower SHBG, than non-drinkers, with the largest difference for DHEAS. Hormone concentrations were not strongly related to age at menarche, parity, age at first full-term pregnancy or family history of breast cancer., Conclusion: Sex hormone concentrations were strongly associated with several established or suspected risk factors for breast cancer, and may mediate the effects of these factors on breast cancer risk.

Evidence suggests that nutrients involved in one-carbon metabolism are implicated in ovarian cancer etiology. No studies have evaluated the role of choline, and that of its metabolite, betaine. We prospectively examined the relationship between the intake of these nutrients and ovarian cancer risk among 159 957 participants from the Nurses' Health Study (NHS) and NHSII. The average nutrient intake was assessed every 2-4 years beginning in 1984 (for NHS) and in 1991 (for NHSII). With up to 22 years of follow-up per cohort, 526 incident cases of ovarian cancer were diagnosed. There were no associations between total choline, betaine, as well as choline plus betaine intake and ovarian cancer risk (for example, relative risk, top vs bottom quintile of choline=0.98; 95% confidence interval: 0.73-1.31; P(trend)=0.81). Results did not vary by alcohol consumption, folate intake or after the exclusion of cases diagnosed during the 4-year period after dietary assessment. These data provide little evidence for a role of these nutrients in ovarian cancer etiology.

Adult body mass index (BMI) has been associated with ovarian cancer risk, but few studies have examined body size earlier in life. We prospectively examined associations of body fatness at ages 5 and 10, BMI at age 18, height, and birthweight with risk of epithelial ovarian cancer in the Nurses' Health Study (NHS: 110 311 women, 735 cases) and Nurses' Health Study II (NHSII: 113 059 women, 137 cases). Cox proportional hazards regression was used to estimate relative risks (RRs) and 95% confidence intervals (CIs). There was a weak inverse association between average body fatness at ages 5 and 10 and risk in the NHS (RR for heaviest vs most lean=0.81, 95% CI: 0.53-1.24, P for trend=0.04) and a nonsignificant positive association in the NHSII (RR=2.09, 95% CI: 0.98-4.48, P for trend=0.10), possibly due to differences in age and menopausal status. Height was positively associated with risk in both cohorts (RR for >or=1.75 vs <1.6 m=1.43, 95% CI: 1.05-1.96, P for trend=0.001). Body mass index at the age of 18 years and birthweight were not associated with risk. Further research should examine the biological mechanisms underlying the observed associations.

Objective: To investigate cross-sectional and longitudinal relationships among exercise, sleep, ghrelin and leptin., Methods: We randomly assigned 173 post-menopausal sedentary overweight (body mass index >or=24.0 kg/m(2) and >33% body fat) women aged 50-75 years living in western Washington State to either a facility- and home-based moderate-intensity physical activity intervention or a stretching control group. Fasting plasma ghrelin, leptin, measured height, weight and self-reported sleep were assessed at baseline and 12 months., Results: There were no consistent cross-sectional patterns between self-reported sleep measures and ghrelin or leptin at baseline. The weight loss differences between exercisers and stretchers were greater for those who slept less at follow-up than at baseline compared to those whose sleep duration did not change (-3.2 kg, 95% confidence interval (CI) -5.8, -0.5). Improvements in sleep quality were associated with significantly greater differences between exercisers and stretchers for ghrelin increases (improved vs same sleep quality: +115 pg/ml, 95% CI +25, +206) and leptin decreases (improved vs worsened sleep quality: -5.7 ng/ml, 95% CI -9.5, -1.5)., Conclusion: There was only limited evidence that changes in sleep duration or quality modified exercise-induced changes in weight, ghrelin or leptin. Moreover, the observed differences were not in the directions hypothesized. Future longitudinal studies including population-based samples using objective measures of sleep and long follow-up may help to clarify these relationships.

The relationship between postmenopausal hormone use (PMH) and ovarian cancer risk is unclear, particularly for specific hormone formulations, but recent studies suggest that there is a positive association. We conducted a prospective observational study with 82,905 postmenopausal women, including 389 ovarian cancers, in the Nurses' Health Study from 1976 to 2002. Compared with never users of PMH, both current and past users of > or =5 years had a significantly elevated risk of ovarian cancer (RR=1.41, 95% confidence interval (CI) 1.07-1.86 and relative risk (RR)=1.52, 95% CI 1.01-2.27, respectively). Examined by hormone type in continuous years, use of unopposed estrogen was associated with a significant increase in the risk of epithelial ovarian cancer (P for trend <0.001; RR for 5-year increment of use=1.25, 95% CI 1.12-1.38). Use of estrogen plus progestin (RR for 5-year increment of use=1.04, 95% CI 0.82-1.32) was not significantly associated with ovarian cancer risk. Generally, results were similar for serous tumours (RR for 5-year increment of unopposed estrogen use=1.23, 95% CI 1.07-1.40) and slightly stronger for endometrioid tumours (RR for 5-year increment of unopposed estrogen use=1.53, 95% CI 1.20-1.94). Recency of use was not significantly associated with ovarian cancer risk, but statistical power was limited here.