Relation of statin use with non-melanoma skin cancer: prospective results from the Women\u27s Health Initiative.

BACKGROUND: The relationship between statin use and non-melanoma skin cancer (NMSC) is unclear with conflicting findings in literature. Data from the Women\u27s Health Initiative (WHI) Observational Study and WHI Clinical Trial were used to investigate the prospective relationship between statin use and NMSC in non-Hispanic white (NHW) postmenopausal women. METHODS: The WHI study enrolled women aged 50-79 years at 40 US centres. Among 133 541 NHW participants, 118 357 with no cancer history at baseline and complete medication/covariate data comprised the analytic cohort. The association of statin use (baseline, overall as a time-varying variable, duration, type, potency, lipophilicity) and NMSC incidence was determined using random-effects logistic regression models. RESULTS: Over a mean of 10.5 years of follow-up, we identified 11 555 NMSC cases. Compared with participants with no statin use, use of any statin at baseline was associated with significantly increased NMSC incidence (adjusted odds ratio (ORadj) 1.21; 95% confidence interval (CI): 1.07-1.35)). In particular, lovastatin (OR 1.52; 95% CI: 1.08-2.16), simvastatin (OR 1.38; 95% CI: 1.12-1.69), and lipophilic statins (OR 1.39; 95% CI: 1.18-1.64) were associated with higher NMSC risk. Low and high, but not medium, potency statins were associated with higher NMSC risk. No significant effect modification of the statin-NMSC relationship was found for age, BMI, smoking, solar irradiation, vitamin D use, and skin cancer history. CONCLUSIONS: Use of statins, particularly lipophilic statins, was associated with increased NMSC risk in postmenopausal white women in the WHI cohort. The lack of duration-effect relationship points to possible residual confounding. Additional prospective research should further investigate this relationship.British Journal of Cancer advance online publication, 7 January 2016; doi:10.1038/bjc.2015.376 www.bjcancer.com

Urinary concentrations of phthalate biomarkers and weight change among postmenopausal women: a prospective cohort study

Abstract Background Some phthalates are endocrine disrupting chemicals used as plasticizers in consumer products, and have been associated with obesity in cross-sectional studies, yet prospective evaluations of weight change are lacking. Our objective was to evaluate associations between phthalate biomarker concentrations and weight and weight change among postmenopausal women. Methods We performed cross-sectional (N = 997) and longitudinal analyses (N = 660) among postmenopausal Women’s Health Initiative participants. We measured 13 phthalate metabolites and creatinine in spot urine samples provided at baseline. Participants’ weight and height measured at in-person clinic visits at baseline, year 3, and year 6 were used to calculate body mass index (BMI). We fit multivariable multinomial logistic regression models to explore cross-sectional associations between each phthalate biomarker and baseline BMI category. We evaluated longitudinal associations between each biomarker and weight change using mixed effects linear regression models. Results In cross-sectional analyses, urinary concentrations of some biomarkers were positively associated with obesity prevalence (e.g. sum of di (2-ethylhexyl) phthalate metabolites [ΣDEHP] 4th vs 1st quartile OR = 3.29, 95% CI 1.80–6.03 [p trend< 0.001] vs normal). In longitudinal analyses, positive trends with weight gain between baseline and year 3 were observed for mono-(2-ethyl-5-oxohexyl) phthalate, monoethyl phthalate (MEP), mono-hydroxybutyl phthalate, and mono-hydroxyisobutyl phthalate (e.g. + 2.32 kg [95% CI 0.93–3.72] for 4th vs 1st quartile of MEP; p trend < 0.001). No statistically significant associations were observed between biomarkers and weight gain over 6 years. Conclusions Certain phthalates may contribute to short-term weight gain among postmenopausal women

An analysis of the association between statin use and risk of endometrial and ovarian cancers in the Women\u27s Health Initiative

© 2018 Background: Statins have anti proliferative activity in vitro against endometrial and ovarian cancer and can affect levels of reproductive hormones. We analyzed data from the Women\u27s Health Initiative (WHI) to assess whether statins are associated with risk of endometrial and ovarian cancer. Methods: The WHI study included 161,808 postmenopausal women in which incident cases of endometrial (n = 1377) and ovarian cancer (n = 763) were identified over an average of 10.8 (SD + 3.3) years. Information on statin use and risk factors was collected at baseline and follow-up. Cox proportional hazards regression was used to calculate hazard ratios (HRs) with 95% confidence intervals (CIs) for the association of statin use and risk of endometrial and ovarian cancer. All statistical tests were two-sided. Results: Statins were used at baseline by 7.5% women and by up to 25% at year nine. The multivariable adjusted HR for risk of endometrial cancer for baseline statin use was 0.74, 95% C.I. 0.59–0.94 and for ovarian cancer was 1.15, 95% C.I. 0.89–1.50. In time-dependent models, statins were not associated with endometrial cancer (HR 0.91, 95% C.I. 0.76–1.08) however there was an increased risk of ovarian cancer (HR 1.30, 95% CI 1.04–1.62), largely attributed to the effect of the hydrophilic statin, pravastatin (1.89, 95% CI 1.24–2.88). Conclusions: There was a reduction in risk of endometrial cancer among statin users at baseline but not in time-dependent models. Pravastatin use was associated with an increased risk of ovarian cancer. Analyses of larger numbers of cases are needed to evaluate these findings

Prospective association of vitamin D concentrations with mortality in postmenopausal women: Results from the Women\u27s Health Initiative (WHI)

Background: Prospective epidemiologic data on the association between vitamin D and all-cause and cause-specific mortality are limited. Objective: This study aimed to determine whether 25-hydroxyvitamin D [25(OH)D] concentrations were prospectively and independently associated with cardiovascular disease (CVD), cancer, and all-cause mortality in postmenopausal women. Design: A substudy in 2429 postmenopausal women within the Women\u27s Health Initiative (WHI) with measured baseline 25(OH) D concentrations were followed for 10 y for death from CVD, cancer, and all-cause mortality. Proportional hazards models were performed to evaluate quartiles of month-adjusted 25(OH)D concentrations, with adjustment for potential confounders. Sequential model building and analysis for multiplicative interaction were performed to evaluate the effects of central adiposity on the association of low 25(OH)D with all-cause mortality. Results: Of the 2429 women, 224 deaths occurred, with 79 deaths from CVD and 62 deaths from cancer. Multivariate-adjusted HRs that compared quartiles 1 (lowest) to 4 (highest) of 25(OH)D for all-cause mortality (HR: 1.25; 95% CI: 0.80, 1.95), CVD mortality (HR: 1.27; 95% CI: 0.81, 1.99), and cancer mortality (HR: 1.39; 95% CI: 0.88, 2.19) were not significant. There was a potential interaction (P = 0.08) between abdominal obesity and low 25(OH)D concentrations that showed an increased risk of the lowest quartile of 25(OH)D concentrations (HR: 1.85; 95% CI: 1.00, 3.44) with increased mortality in women with a normal waist circumference but no increased risk in women with abdominal obesity (HR: 0.96; 95% CI: 0.52, 1.76). Conclusion: Body fat distribution may play an important role in the modulation of the effect of low vitamin D concentrations on health. This trial was registered at clinicaltrials.gov as NCT 00000611. © 2011 American Society for Nutrition

Healthy lifestyle and risk of incident heart failure with preserved and reduced ejection fraction among post-menopausal women: The Women\u27s Health Initiative study

© 2020 Elsevier Inc. We examined associations of diet, physical activity, cigarette smoking, and body mass index (BMI), separately and as a cumulative lifestyle score, with incident hospitalized HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF). This analysis included 40,095 postmenopausal women in the Women\u27s Health Initiative clinical trial and observational studies, aged 50–79 years and without self-reported HF at baseline. A healthy lifestyle score (HLS) was developed, in which women received 1 point for each healthy lifestyle. A weighted HLS was also created to examine the independent magnitude of each of the lifestyle factors in HF subtypes. Trained adjudicators determined cases of incident hospitalized HF, HFpEF, HFrEF through March 2018. Multiple variable Cox regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI). During a mean follow-up period of 14.5 years, 659 incident HFrEF and 1276 HFpEF cases were documented. Across unweighted HLS of 0 (referent), 1, 2, 3, and 4, multivariable adjusted HRs (95% CI) for HFrEF were 1.00, 0.52 (0.38, 0.71), 0.40 (0.29, 0.56), 0.33 (0.23, 0.48), and 0.33 (0.19, 0.56) (P-trend = 0.03) and for HFpEF were 1.00, 0.47 (0.37, 0.59), 0.39 (0.30, 0.49), 0.26 (0.20, 0.34), and 0.23 (0.15, 0.35) (P-trend \u3c 0.001). Results were similar for the weighted HLS. Our findings suggest that following a healthy lifestyle pattern is associated with lower risks of HFpEF and HFrEF among postmenopausal women

Polygenic scores, diet quality, and type 2 diabetes risk : An observational study among 35,759 adults from 3 US cohorts

Background Bothgenetic and lifestyle factors contribute to the risk of type 2 diabetes, but the extent to which there is a synergistic effect of the 2 factors is unclear. The aim of this study was to examine the joint associations of genetic risk and diet quality with incident type 2 diabetes. Methods and findings We analyzed data from 35,759 men and women in the United States participating in the Nurses’ Health Study (NHS) I (1986 to 2016) and II (1991 to 2017) and the Health Professionals Follow-up Study (HPFS; 1986 to 2016) with available genetic data and who did not have diabetes, cardiovascular disease, or cancer at baseline. Genetic risk was characterized using both a global polygenic score capturing overall genetic risk and pathway-specific polygenic scores denoting distinct pathophysiological mechanisms. Diet quality was assessed using the Alternate Healthy Eating Index (AHEI). Cox models were used to calculate hazard ratios (HRs) for type 2 diabetes after adjusting for potential confounders. WAU ith: Pleas over 902,386 person-years of follow-up, 4,433 participants were diagnosed with type 2 diabetes. The relative risk of type 2 diabetes was 1.29 (95% confidence interval [CI] 1.25, 1.32; P < 0.001) per standard deviation (SD) increase in global polygenic score and 1.13 (1.09, 1.17; P < 0.001) per 10-unit decrease in AHEI. Irrespective of genetic risk, low diet quality, as compared to high diet quality, was associated with approximately 30% increased risk of type 2 diabetes (Pinteraction = 0.69). The joint association of low diet quality and increased genetic risk was similar to the sum of the risk associated with each factor alone (Pinteraction = 0.30). Limitations of this study include the self-report of diet information and possible bias resulting from inclusion of highly educated participants with available genetic data. Conclusions These data provide evidence for the independent associations of genetic risk and diet quality with incident type 2 diabetes and suggest that a healthy diet is associated with lower diabetes risk across all levels of genetic risk

Association of cardiovascular health and epigenetic age acceleration

© 2021, The Author(s). Background: Cardiovascular health (CVH) has been defined by the American Heart Association (AHA) as the presence of the “Life’s Simple 7” ideal lifestyle and clinical factors. CVH is known to predict longevity and freedom from cardiovascular disease, the leading cause of death for women in the United States. DNA methylation markers of aging have been aggregated into a composite epigenetic age score, which is associated with cardiovascular morbidity and mortality. However, it is unknown whether poor CVH is associated with acceleration of aging as measured by DNA methylation markers in epigenetic age. Methods and results: We performed a cross-sectional analysis of racially/ethnically diverse post-menopausal women enrolled in the Women’s Health Initiative cohort recruited between 1993 and 1998. Epigenetic age acceleration (EAA) was calculated using DNA methylation data on a subset of participants and the published Horvath and Hannum methods for intrinsic and extrinsic EAA. CVH was calculated using the AHA measures of CVH contributing to a 7-point score. We examined the association between CVH score and EAA using linear regression modeling adjusting for self-reported race/ethnicity and education. Among the 2,170 participants analyzed, 50% were white and mean age was 64 (7 SD) years. Higher or more favorable CVH scores were associated with lower extrinsic EAA (~ 6 months younger age per 1 point higher CVH score, p \u3c 0.0001), and lower intrinsic EAA (3 months younger age per 1 point higher CVH score, p \u3c 0.028). Conclusions: These cross-sectional observations suggest a possible mechanism by which ideal CVH is associated with greater longevity

Association of cardiovascular health and epigenetic age acceleration

© 2021, The Author(s). Background: Cardiovascular health (CVH) has been defined by the American Heart Association (AHA) as the presence of the “Life’s Simple 7” ideal lifestyle and clinical factors. CVH is known to predict longevity and freedom from cardiovascular disease, the leading cause of death for women in the United States. DNA methylation markers of aging have been aggregated into a composite epigenetic age score, which is associated with cardiovascular morbidity and mortality. However, it is unknown whether poor CVH is associated with acceleration of aging as measured by DNA methylation markers in epigenetic age. Methods and results: We performed a cross-sectional analysis of racially/ethnically diverse post-menopausal women enrolled in the Women’s Health Initiative cohort recruited between 1993 and 1998. Epigenetic age acceleration (EAA) was calculated using DNA methylation data on a subset of participants and the published Horvath and Hannum methods for intrinsic and extrinsic EAA. CVH was calculated using the AHA measures of CVH contributing to a 7-point score. We examined the association between CVH score and EAA using linear regression modeling adjusting for self-reported race/ethnicity and education. Among the 2,170 participants analyzed, 50% were white and mean age was 64 (7 SD) years. Higher or more favorable CVH scores were associated with lower extrinsic EAA (~ 6 months younger age per 1 point higher CVH score, p \u3c 0.0001), and lower intrinsic EAA (3 months younger age per 1 point higher CVH score, p \u3c 0.028). Conclusions: These cross-sectional observations suggest a possible mechanism by which ideal CVH is associated with greater longevity

Menopause is associated with postprandial metabolism, metabolic health and lifestyle : The ZOE PREDICT study

Background: The menopause transition is associated with unfavourable alterations in health. However, postprandial metabolic changes and their mediating factors are poorly understood. Methods: The PREDICT 1 UK cohort (n=1002; pre- n=366, peri- n=55, and post-menopausal females n=206) assessed phenotypic characteristics, anthropometric, diet and gut microbiome data, and fasting and postprandial (0–6 h) cardiometabolic blood measurements, including continuous glucose monitoring (CGM) data. Differences between menopausal groups were assessed in the cohort and in an age-matched subgroup, adjusting for age, BMI, menopausal hormone therapy (MHT) use, and smoking status. Findings: Post-menopausal females had higher fasting blood measures (glucose, HbA1c and inflammation (GlycA), 6%, 5% and 4% respectively), sugar intakes (12%) and poorer sleep (12%) compared with pre-menopausal females (p<0.05 for all). Postprandial metabolic responses for glucose2hiauc and insulin2hiauc were higher (42% and 4% respectively) and CGM measures (glycaemic variability and time in range) were unfavourable post- versus pre-menopause (p<0.05 for all). In age-matched subgroups (n=150), postprandial glucose responses remained higher post-menopause (peak0-2h 4%). MHT was associated with favourable visceral fat, fasting (glucose and insulin) and postprandial (triglyceride6hiauc) measures. Mediation analysis showed that associations between menopause and metabolic health indicators (visceral fat, GlycA360mins and glycaemia (peak0-2h)) were in part mediated by diet and gut bacterial species. Interpretation: Findings from this large scale, in-depth nutrition metabolic study of menopause, support the importance of monitoring risk factors for type-2 diabetes and cardiovascular disease in mid-life to older women to reduce morbidity and mortality associated with oestrogen decline. Funding: Zoe Ltd