Genitourinary Syndrome of Menopause: Prevalence and Predictors.

The genitourinary syndrome of menopause (GSM) has been proposed as a diagnosis by a consensus of clinicians and investigators. Our purpose for this paper is to review extant evidence about: 1) the breadth of symptoms and symptom clusters as related to the syndrome; 2) the prevalence of GSM (includes vulvar and vaginal atrophy); 3) factors that are associated with, predict, or explain the syndrome; and 4) what should be pursued for expanding meaningful evidence. Within recent literature, we found a wide range of prevalence estimates, likely a function of the differing populations studied, study design, and methods of data collection. Factors related to the prevalence of GSM included age and aging; reproductive aging stage; hormones, especially estrogen; and culture and language. We recommend further specification of diagnostic criteria for GSM; clarification of urinary symptoms in GSM; use of longitudinal study designs; validation of GSM-related measures; exploration of cultural equivalence of GSM measures; and assessing biases in completed research.

Obesity, smoking, and risk of vasomotor menopausal symptoms: a pooled analysis of eight cohort studies.

BACKGROUND: Frequent and severe vasomotor symptoms during menopause are linked with adverse health outcomes. Understanding modifiable lifestyle factors for the risk of vasomotor menopausal symptoms is important to guide preventive strategies. OBJECTIVE: We investigated the associations between body mass index and smoking, their joint effects with the risk of vasomotor symptoms, and whether the associations differed by menopausal stage. STUDY DESIGN: The International Collaboration for a Life Course Approach to Reproductive Health and Chronic Disease Events pooled data on 21,460 midlife women from 8 studies (median age, 50 years; interquartile range, 49-51 years) for the cross-sectional analysis. Four studies provided data for the prospective analysis (n=11,986). Multinomial logistic regression models with 4 categories of frequency/severity for the outcome of vasomotor symptoms were used to estimate relative risk ratios and 95% confidence intervals that were adjusted for within-study correlation and covariates. RESULTS: At baseline, nearly 60% of the women experienced vasomotor symptoms. One-half of them were overweight (30%) or obese (21%), and 17% were current smokers. Cross-sectional analyses showed that a higher body mass index and smoking more cigarettes with longer duration and earlier initiation were all associated with more frequent or severe vasomotor symptoms. Never smokers who were obese had a 1.5-fold (relative risk ratio, 1.52; 95% confidence interval, 1.35-1.73) higher risk of often/severe vasomotor symptoms, compared with never smokers who were of normal-weight. Smoking strengthened the association because the risk of often/severe vasomotor symptoms was much greater among smokers who were obese (relative risk ratio, 3.02; 95% confidence interval, 2.41-3.78). However, smokers who quit at <40 years of age were at similar levels of risk as never smokers. Prospective analyses showed a similar pattern, but the association attenuated markedly after adjustment for baseline vasomotor symptoms. Furthermore, we found that the association between body mass index and vasomotor symptoms differed by menopausal status. Higher body mass index was associated with increased risk of vasomotor symptoms in pre- and perimenopause but with reduced risk in postmenopause. CONCLUSION: High body mass index (≥25 kg/m2) and cigarette smoking substantially increased women's risk for experiencing frequent or severe vasomotor symptoms in a dose-response manner, and smoking intensified the effect of obesity. However, the effect of body mass index on the risk of vasomotor symptoms was opposite among postmenopausal women. Maintaining a normal weight before the menopausal transition and quitting smoking at <40 years of age may mitigate the excess risk of vasomotor symptoms in midlife.

Healthy aging through the lens of community-based practitioners: a focus group study.

BACKGROUND: Nearly one in every seven Americans is 65 years and older, facing day-to-day challenge of aging. Although interest in healthy aging is growing, most of the efforts are directed towards understanding the perceptions of older adults. Little is known about the perspectives of community-based practitioners who work with older adults and deliver programs to promote healthy aging. The purpose of this project was to expand knowledge on healthy aging by exploring the perspectives of community-based practitioners working directly with older adults. METHODS: We purposively sampled community-based practitioners (n = 12, including nurses, physician, social workers, and other community services professionals) working with older adults, who then participated in one of three in-depth focus group discussions conducted between March and June 2016. Each focus group discussion lasted for about 2 h. Verbatim transcript data were analyzed in Atlas.ti 7 using a conventional content analysis with an inductive approach, and consensual validation of coding was achieved. RESULTS: Three core categories of healthy aging were identified: (1) characteristics of healthy aging; (2) healthy aging attainment; and (3) programs and activities for healthy aging. Practitioners identified a number of characteristics of healthy aging under person-specific (physiological, basic, psych-emotional, and cognitive needs), social aspects (creating community and contributing to the community), and spiritual dimensions (cultural views and beliefs) of healthy aging. Healthy aging attainment was represented as facilitators and barriers both with respect to care recipients and care providers, and programs and activities through promoting fitness and wellness. CONCLUSIONS: The rapidly changing demographics and aging population in the United States and their various needs suggest the implications for recognizing opportunities and developing and implementing programs to promote healthy aging. Although practitioners' perspectives had some overlap with traditional research and medical views on healthy aging, the unique and holistic conceptual framework derived in the study might provide a more refined foundation for delivering appropriate health care services to the American aging population.

A systematic review and meta-analysis of postpartum contraceptive use among women in low- and middle-income countries.

BACKGROUND: Short birth intervals increase risk for adverse maternal and infant outcomes including preterm birth, low birth weight (LBW), and infant mortality. Although postpartum family planning (PPFP) is an increasingly high priority for many countries, uptake and need for PPFP varies in low- and middle-income countries (LMIC). We performed a systematic review and meta-analysis to characterize postpartum contraceptive use, and predictors and barriers to use, among postpartum women in LMIC. METHODS: PubMed, EMBASE, CINAHL, PsycINFO, Scopus, Web of Science, and Global Health databases were searched for articles and abstracts published between January 1997 and May 2018. Studies with data on contraceptive uptake through 12 months postpartum in low- and middle-income countries were included. We used random-effects models to compute pooled estimates and confidence intervals of modern contraceptive prevalence rates (mCPR), fertility intentions (birth spacing and birth limiting), and unmet need for contraception in the postpartum period. RESULTS: Among 669 studies identified, 90 were selected for full-text review, and 35 met inclusion criteria. The majority of studies were from East Africa, West Africa, and South Asia/South East Asia. The overall pooled mCPR during the postpartum period across all regions was 41.2% (95% CI: 15.7-69.1%), with lower pooled mCPR in West Africa (36.3%; 95% CI: 27.0-45.5%). The pooled prevalence of unmet need was 48.5% (95% CI: 19.1-78.0%) across all regions, and highest in South Asia/South East Asia (59.4, 95% CI: 53.4-65.4%). Perceptions of low pregnancy risk due to breastfeeding and postpartum amenorrhea were commonly associated with lack of contraceptive use and use of male condoms, withdrawal, and abstinence. Women who were not using contraception were also less likely to utilize maternal and child health (MCH) services and reside in urban settings, and be more likely to have a fear of method side effects and receive inadequate FP counseling. In contrast, women who received FP counseling in antenatal and/or postnatal care were more likely to use PPFP. CONCLUSIONS: PPFP use is low and unmet need for contraception following pregnancy in LMIC is high. Tailored counseling approaches may help overcome misconceptions and meet heterogeneous needs for PPFP.

Acceptability, feasibility and utility of a Mobile health family planning decision aid for postpartum women in Kenya.

BACKGROUND: Unmet need for contraception is high during the postpartum period, increasing the risk of unintended subsequent pregnancy. We developed a client facing mobile phone-based family planning (FP) decision aid and assessed acceptability, feasibility, and utility of the tool among health care providers and postpartum women. METHODS: Semi-structured in-depth interviews (IDIs) were conducted among postpartum women (n = 25) and FP providers (n = 17) at 4 Kenyan maternal and child health clinics, 2 in the Nyanza region (Kisumu and Siaya Counties) and 2 in Nairobi. Stratified purposive sampling was used to enroll postpartum women and FP providers. Data were analyzed using an inductive content analysis approach by 3 independent coders, with consensual validation. RESULTS: FP providers stated that the Interactive Mobile Application for Contraceptive Choice (iMACC) tool contained the necessary information about contraceptive methods for postpartum women and believed that it would be a useful tool to help women make informed, voluntary decisions. Most women valued the decision aid content, and described it as being useful in helping to dispel myths and misconceptions, setting realistic expectations about potential side effects and maintaining confidentiality. Both women and providers expressed concerns about literacy and lack of familiarity with smart phones or tablets and suggested inclusion of interactive multimedia such as audio or videos to optimize the effectiveness of the tool. CONCLUSIONS: The iMACC decision aid was perceived to be an acceptable tool to deliver client-centered FP counseling by both women and providers. Counseling tools that can support FP providers to help postpartum women make informed and individualized FP decisions in resource-limited settings may help improve FP counseling and contraceptive use in the postpartum period.

Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: A pooled analysis of individual data from 17 observational studies.

BACKGROUND: Cigarette smoking is associated with earlier menopause, but the impact of being a former smoker and any dose-response relationships on the degree of smoking and age at menopause have been less clear. If the toxic impact of cigarette smoking on ovarian function is irreversible, we hypothesized that even former smokers might experience earlier menopause, and variations in intensity, duration, cumulative dose, and age at start/quit of smoking might have varying impacts on the risk of experiencing earlier menopause. METHODS AND FINDINGS: A total of 207,231 and 27,580 postmenopausal women were included in the cross-sectional and prospective analyses, respectively. They were from 17 studies in 7 countries (Australia, Denmark, France, Japan, Sweden, United Kingdom, United States) that contributed data to the International collaboration for a Life course Approach to reproductive health and Chronic disease Events (InterLACE). Information on smoking status, cigarettes smoked per day (intensity), smoking duration, pack-years (cumulative dose), age started, and years since quitting smoking was collected at baseline. We used multinomial logistic regression models to estimate multivariable relative risk ratios (RRRs) and 95% confidence intervals (CIs) for the associations between each smoking measure and categorised age at menopause (<40 (premature), 40-44 (early), 45-49, 50-51 (reference), and ≥52 years). The association with current and former smokers was analysed separately. Sensitivity analyses and two-step meta-analyses were also conducted to test the results. The Bayesian information criterion (BIC) was used to compare the fit of the models of smoking measures. Overall, 1.9% and 7.3% of women experienced premature and early menopause, respectively. Compared with never smokers, current smokers had around twice the risk of experiencing premature (RRR 2.05; 95% CI 1.73-2.44) (p < 0.001) and early menopause (1.80; 1.66-1.95) (p < 0.001). The corresponding RRRs in former smokers were attenuated to 1.13 (1.04-1.23; p = 0.006) and 1.15 (1.05-1.27; p = 0.005). In both current and former smokers, dose-response relationships were observed, i.e., higher intensity, longer duration, higher cumulative dose, earlier age at start smoking, and shorter time since quitting smoking were significantly associated with higher risk of premature and early menopause, as well as earlier menopause at 45-49 years. Duration of smoking was a strong predictor of age at natural menopause. Among current smokers with duration of 15-20 years, the risk was markedly higher for premature (15.58; 11.29-19.86; p < 0.001) and early (6.55; 5.04-8.52; p < 0.001) menopause. Also, current smokers with 11-15 pack-years had over 4-fold (4.35; 2.78-5.92; p < 0.001) and 3-fold (3.01; 2.15-4.21; p < 0.001) risk of premature and early menopause, respectively. Smokers who had quit smoking for more than 10 years had similar risk as never smokers (1.04; 0.98-1.10; p = 0.176). A limitation of the study is the measurement errors that may have arisen due to recall bias. CONCLUSIONS: The probability of earlier menopause is positively associated with intensity, duration, cumulative dose, and earlier initiation of smoking. Smoking duration is a much stronger predictor of premature and early menopause than others. Our findings highlight the clear benefits for women of early smoking cessation to lower their excess risk of earlier menopause.

The role of sleep difficulties in the vasomotor menopausal symptoms and depressed mood relationships: an international pooled analysis of eight studies in the InterLACE consortium.

BACKGROUND: Many women experience both vasomotor menopausal symptoms (VMS) and depressed mood at midlife, but little is known regarding the prospective bi-directional relationships between VMS and depressed mood and the role of sleep difficulties in both directions. METHODS: A pooled analysis was conducted using data from 21 312 women (median: 50 years, interquartile range 49-51) in eight studies from the InterLACE consortium. The degree of VMS, sleep difficulties, and depressed mood was self-reported and categorised as never, rarely, sometimes, and often (if reporting frequency) or never, mild, moderate, and severe (if reporting severity). Multivariable logistic regression models were used to examine the bi-directional associations adjusted for within-study correlation. RESULTS: At baseline, the prevalence of VMS (40%, range 13-62%) and depressed mood (26%, 8-41%) varied substantially across studies, and a strong dose-dependent association between VMS and likelihood of depressed mood was found. Over 3 years of follow-up, women with often/severe VMS at baseline were more likely to have subsequent depressed mood compared with those without VMS (odds ratios (OR) 1.56, 1.27-1.92). Women with often/severe depressed mood at baseline were also more likely to have subsequent VMS than those without depressed mood (OR 1.89, 1.47-2.44). With further adjustment for the degree of sleep difficulties at baseline, the OR of having a subsequent depressed mood associated with often/severe VMS was attenuated and no longer significant (OR 1.13, 0.90-1.40). Conversely, often/severe depressed mood remained significantly associated with subsequent VMS (OR 1.80, 1.38-2.34). CONCLUSIONS: Difficulty in sleeping largely explained the relationship between VMS and subsequent depressed mood, but it had little impact on the relationship between depressed mood and subsequent VMS.

Body mass index and age at natural menopause: an international pooled analysis of 11 prospective studies.

Current evidence on the association between body mass index (BMI) and age at menopause remains unclear. We investigated the relationship between BMI and age at menopause using data from 11 prospective studies. A total of 24,196 women who experienced menopause after recruitment was included. Baseline BMI was categorised according to the WHO criteria. Age at menopause, confirmed by natural cessation of menses for ≥ 12 months, was categorised as < 45 years (early menopause), 45-49, 50-51 (reference category), 52-53, 54-55, and ≥ 56 years (late age at menopause). We used multinomial logistic regression models to estimate multivariable relative risk ratios (RRRs) and 95% confidence intervals (CI) for the associations between BMI and age at menopause. The mean (standard deviation) age at menopause was 51.4 (3.3) years, with 2.5% of the women having early and 8.1% late menopause. Compared with those with normal BMI (18.5-24.9 kg/m2), underweight women were at a higher risk of early menopause (RRR 2.15, 95% CI 1.50-3.06), while overweight (1.52, 1.31-1.77) and obese women (1.54, 1.18-2.01) were at increased risk of late menopause. Overweight and obesity were also significantly associated with around 20% increased risk of menopause at ages 52-53 and 54-55 years. We observed no association between underweight and late menopause. The risk of early menopause was higher among obese women albeit not significant (1.23, 0.89-1.71). Underweight women had over twice the risk of experiencing early menopause, while overweight and obese women had over 50% higher risk of experiencing late menopause.

Genetic polymorphisms of GRIN2A and GRIN2B modify the neurobehavioral effects of low-level lead exposure in children.

Lead (Pb) is neurotoxic and children are highly susceptible to this effect, particularly within the context of continuous low-level Pb exposure. A current major challenge is identification of children who may be uniquely susceptible to Pb toxicity because of genetic predisposition. Learning and memory are among the neurobehavioral processes that are most notably affected by Pb exposure, and modification of N-methyl-D-aspartate receptors (NMDAR) that regulate these processes during development are postulated to underlie these adverse effects of Pb. We examined the hypothesis that polymorphic variants of genes encoding glutamate receptor, ionotropic, NMDAR subunits 2A and 2B, GRIN2A and GRIN2B, exacerbate the adverse effects of Pb exposure on these processes in children. Participants were subjects who participated as children in the Casa Pia Dental Amalgam Clinical Trial and for whom baseline blood Pb concentrations and annual neurobehavioral test results over the 7 year course of the clinical trial were available. Genotyping assays were performed for variants of GRIN2A (rs727605 and rs1070503) and GRIN2B (rs7301328 and rs1806201) on biological samples acquired from 330 of the original 507 trial participants. Regression modeling strategies were employed to evaluate the association between genotype status, Pb exposure, and neurobehavioral test outcomes. Numerous significant adverse interaction effects between variants of both GRIN2A and GRIN2B, individually and in combination, and Pb exposure were observed particularly among boys, preferentially within the domains of Learning & Memory and Executive Function. In contrast, very few interaction effects were observed among similarly genotyped girls with comparable Pb exposure. These findings support observations of an essential role of GRIN2A and GRIN2B on developmental processes underlying learning and memory as well as other neurological functions in children and demonstrate, further, modification of Pb effects on these processes by specific variants of both GRIN2A and GRIN2B genes. These observations highlight the importance of genetic factors in defining susceptibility to Pb neurotoxicity and may have important public health implications for future strategies aimed at protecting children and adolescents from potential health risks associated with low-level Pb exposure.

Meta-analysis of loci associated with age at natural menopause in African-American women.

Age at menopause marks the end of a woman's reproductive life and its timing associates with risks for cancer, cardiovascular and bone disorders. GWAS and candidate gene studies conducted in women of European ancestry have identified 27 loci associated with age at menopause. The relevance of these loci to women of African ancestry has not been previously studied. We therefore sought to uncover additional menopause loci and investigate the relevance of European menopause loci by performing a GWAS meta-analysis in 6510 women with African ancestry derived from 11 studies across the USA. We did not identify any additional loci significantly associated with age at menopause in African Americans. We replicated the associations between six loci and age at menopause (P-value < 0.05): AMHR2, RHBLD2, PRIM1, HK3/UMC1, BRSK1/TMEM150B and MCM8. In addition, associations of 14 loci are directionally consistent with previous reports. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in women of African ancestry residing in USA.

Genome-wide association study of age at menarche in African-American women.

African-American (AA) women have earlier menarche on average than women of European ancestry (EA), and earlier menarche is a risk factor for obesity and type 2 diabetes among other chronic diseases. Identification of common genetic variants associated with age at menarche has a potential value in pointing to the genetic pathways underlying chronic disease risk, yet comprehensive genome-wide studies of age at menarche are lacking for AA women. In this study, we tested the genome-wide association of self-reported age at menarche with common single-nucleotide polymorphisms (SNPs) in a total of 18 089 AA women in 15 studies using an additive genetic linear regression model, adjusting for year of birth and population stratification, followed by inverse-variance weighted meta-analysis (Stage 1). Top meta-analysis results were then tested in an independent sample of 2850 women (Stage 2). First, while no SNP passed the pre-specified P < 5 × 10(-8) threshold for significance in Stage 1, suggestive associations were found for variants near FLRT2 and PIK3R1, and conditional analysis identified two independent SNPs (rs339978 and rs980000) in or near RORA, strengthening the support for this suggestive locus identified in EA women. Secondly, an investigation of SNPs in 42 previously identified menarche loci in EA women demonstrated that 25 (60%) of them contained variants significantly associated with menarche in AA women. The findings provide the first evidence of cross-ethnic generalization of menarche loci identified to date, and suggest a number of novel biological links to menarche timing in AA women.

Replication of loci influencing ages at menarche and menopause in Hispanic women: the Women's Health Initiative SHARe Study.

Several genome-wide studies have identified loci associated with reproductive traits, such as ages of menarche and menopause, in women of European ancestry. In this study, we investigated the relevance of these loci in minority US Hispanic women. We utilized data from 3468 women who were genotyped as a part of the Women's Health Initiative SNP Health Association Resource. We replicated associations of eight loci (LRP18, LIN28B, CENPW, INHBA, TMEM38B, ZNF483, NFAT5 and OLFM2) with age at menarche, and of two loci (MCM8 and BRSK1/TMEM150B) with age at menopause. The MCM8 locus was also associated with early menopause risk. Three loci (CENPW, MCM8 and BRSK1/TMEM150B) were associated with the length of reproductive lifespan. We provide evidence that genetic variants influencing reproductive traits identified in European populations are also important in minority US Hispanic women.

Feasibility and acceptability of an iPad application to explore symptom clusters in adolescents and young adults with cancer.

BACKGROUND: The aim of this study was to evaluate the feasibility and acceptability of a computer-based symptom cluster heuristics tool designed to explore symptom clusters experienced by adolescents and young adults (AYAs) with cancer. The Computerized Symptom Capture Tool (C-SCAT) is a newly developed iPad application, which combines graphical images and free text responses in an innovative heuristics approach to explore symptoms and symptom clusters. PROCEDURE: Seventy-two AYAs (13-29 years of age) with cancer at five institutions across the US completed the C-SCAT 24-96 hours after the initial chemotherapy dose in a chemotherapy cycle. RESULTS: All participants completed the C-SCAT successfully in a mean of 25 minutes, with 74% reporting that the final image was an accurate or very accurate representation of their symptom experience. Little clarification/coaching was necessary while completing the C-SCAT. Few technical problems were encountered. Participants judged the C-SCAT questions to be clear and endorsed ease of following instructions, typing, and drawing. CONCLUSIONS: The C-SCAT demonstrated feasibility and acceptability. With refinement based on study results, the C-SCAT has potential to: (a) empower AYAs to communicate their symptom experience and partner with providers in their care; (b) improve symptom management and ameliorate distress; and (c) translate to use with other highly symptomatic populations.

Application of person-centered analytic methodology in longitudinal research: exemplars from the Women's Health Initiative Clinical Trial data.

Despite the variety of available analytic methods, longitudinal research in nursing has been dominated by use of a variable-centered analytic approach. The purpose of this article is to present the utility of person-centered methodology using a large cohort of American women 65 and older enrolled in the Women's Health Initiative Clinical Trial (N = 19,891). Four distinct trajectories of energy/fatigue scores were identified. Levels of fatigue were closely linked to age, socio-demographic factors, comorbidities, health behaviors, and poor sleep quality. These findings were consistent regardless of the methodological framework. Finally, we demonstrated that energy/fatigue levels predicted future hospitalization in non-disabled elderly. Person-centered methods provide unique opportunities to explore and statistically model the effects of longitudinal heterogeneity within a population.

Association Between Insomnia, Stress Events, and Other Psychosocial Factors and Incident Atrial Fibrillation in Postmenopausal Women: Insights From the Women's Health Initiative.

Background The association between psychosocial factors and atrial fibrillation (AF) is poorly understood. Methods and Results Postmenopausal women from the Women's Health Initiative were retrospectively analyzed to identify incident AF in relation to a panel of validated psychosocial exposure variables, as assessed by multivariable Cox proportional hazard regression and hierarchical cluster analysis. Among the 83 736 women included, the average age was 63.9±7.0 years. Over an average of 10.5±6.2 years follow-up, there were 23 954 cases of incident AF. Hierarchical cluster analysis generated 2 clusters of highly correlated psychosocial variables: the Stress Cluster included stressful life events, depressive symptoms, and insomnia, and the Strain Cluster included optimism, social support, social strain, cynical hostility, and emotional expressiveness. Incident AF was associated with higher values in the Stress Cluster (hazard ratio [HR], 1.07 per unit cluster score [95% CI, 1.05-1.09]) and the Strain Cluster (HR, 1.03 per unit cluster score [95% CI, 1.00-1.05]). Of the 8 individual psychosocial predictors that were tested, insomnia (HR, 1.04 [95% CI, 1.03-1.06]) and stressful life events (HR, 1.02 [95% CI, 1.01-1.04]) were most strongly associated with increased incidence of AF in Cox regression analysis after multivariate adjustment. Subgroup analyses showed that the Strain Cluster was more strongly associated with incident AF in those with lower traditional AF risks (P for interaction=0.02) as determined by the cohorts for heart and aging research in genomic epidemiology for atrial fibrillation score. Conclusions Among postmenopausal women, 2 clusters of psychosocial stressors were found to be significantly associated with incident AF. Further research is needed to validate these associations.

Depressive symptoms, antidepressant use, and future cognitive health in postmenopausal women: the Women's Health Initiative Memory Study.

BACKGROUND: Antidepressants are commonly prescribed medications in the elderly, but their relationship with incident mild cognitive impairment (MCI) and probable dementia is unknown. METHODS: The study cohort included 6,998 cognitively healthy, postmenopausal women, aged 65-79 years, who were enrolled in a hormone therapy clinical trial and had baseline depressive symptoms and antidepressant use history assessments at enrollment, and at least one postbaseline cognitive measurement. Participants were followed annually and the follow-up averaged 7.5 years for MCI and probable dementia outcomes. A central adjudication committee classified the presence of MCI and probable dementia based on extensive neuropsychiatric examination. RESULTS: Three hundred and eighty-three (5%) women were on antidepressants at baseline. Antidepressant use was associated with a 70% increased risk of MCI, after controlling for potential covariates including the degree of depressive symptom severity. Selective serotonin reuptake inhibitors (SSRIs) and tricyclic antidepressants (TCAs) were both associated with MCI (SSRIs: hazard ratios (HR), 1.78 [95% CI, 1.01-3.13]; TCAs: HR, 1.78 [95% CI, 0.99-3.21]). Depressed users (HR, 2.44 [95% CI, 1.24-4.80]), non-depressed users (HR, 1.79 [95% CI, 1.13-2.85]), and depressed non-users (HR, 1.62 [95% CI, 1.13-2.32]) had increased risk of incident MCI. Similarly, all three groups had increased risk of either MCI or dementia, relative to the control cohort. CONCLUSIONS: Antidepressant use and different levels of depression severity were associated with subsequent cognitive impairment in a large cohort of postmenopausal women. Future research should examine the role of antidepressants in the depression-dementia relationship and determine if antidepressants can prevent incident MCI and dementia in individuals with late-life depression subtypes with different levels of severity.

Social isolation and health among family caregivers of older adults: Less community participation may indicate poor self-reported health.

Social isolation is associated with adverse health outcomes in the general older adult population, but little is known about indicators of social isolation in family caregiver populations. This cross-sectional study examined the prevalence of social isolation in the 2015 National Survey of Caregiving. Using the Convoy Model of social relations, a life-course social support framework, we also examined associations between social isolation and caregiver self-reported health. Using multiple ordinal logistic regression models, we examined social isolation - operationalised with a five-item summative measure and, alternatively, with each social isolation item - as a predictor of self-reported general health status. On the dichotomised summative measure, 24.74% (n = 2,175) were more isolated. Younger caregivers were more isolated (M = 56.77 years, SE = 0.76) compared with those who were not (M = 60.86 years, SE = 0.41). Self-reported general health was as follows: 4.93% poor; 15.67% fair; 25.62% good; 34.81% very good and 18.97% excellent. Less social isolation was associated with higher odds of better self-reported health (Adjusted odds ratio [AOR] = 1.19; CI = 1.05-1.35). Of the individual social isolation indicators, only a lack of community participation was associated with higher odds of worse self-reported health (AOR = 1.57; CI = 1.25-1.97). Social isolation and particularly community participation were associated with caregiver health status. It may be necessary for healthcare providers to consider these factors in caregiver health assessments. Future research is recommended to understand the consequences of various social isolation indicators in diverse samples including younger caregivers.

Racial/Ethnic Disparities in Alzheimer's Disease Risk: Role of Exposure to Ambient Fine Particles.

BACKGROUND: Whether racial/ethnic disparities in Alzheimer's disease (AD) risk may be explained by ambient fine particles (PM2.5) has not been studied. METHOD: We conducted a prospective, population-based study on a cohort of Black (n = 481) and White (n = 6 004) older women (aged 65-79) without dementia at enrollment (1995-1998). Cox models accounting for competing risk were used to estimate the hazard ratio (HR) for racial/ethnic disparities in AD (1996-2010) defined by Diagnostic and Statistical Manual of Mental Disorders, 4th edition and the association with time-varying annual average PM2.5 (1999-2010) estimated by spatiotemporal model. RESULTS: Over an average follow-up of 8.3 (±3.5) years with 158 incident cases (21 in Black women), the racial disparities in AD risk (range of adjusted HRBlack women = 1.85-2.41) observed in various models could not be explained by geographic region, age, socioeconomic characteristics, lifestyle factors, cardiovascular risk factors, and hormone therapy assignment. Estimated PM2.5 exposure was higher in Black (14.38 ± 2.21 µg/m3) than in White (12.55 ± 2.76 µg/m3) women, and further adjustment for the association between PM2.5 and AD (adjusted HRPM2.5 = 1.18-1.28) slightly reduced the racial disparities by 2%-6% (HRBlack women = 1.81-2.26). The observed association between PM2.5 and AD risk was ~2 times greater in Black (HRPM2.5 = 2.10-2.60) than in White (HRPM2.5 = 1.07-1.15) women (range of interaction ps: <.01-.01). We found similar results after further adjusting for social engagement (social strain, social support, social activity, living alone), stressful life events, Women's Health Initiative's clinic sites, and neighborhood socioeconomic characteristics. CONCLUSIONS: PM2.5 may contribute to racial/ethnic disparities in AD risk and its associated increase in AD risk was stronger among Black women.

Associations Between Changes in Loneliness and Social Connections, and Mental Health During the COVID-19 Pandemic: The Women's Health Initiative.

BACKGROUND: Older women have faced significant disruptions in social connections during the coronavirus disease 2019 pandemic. Whether loneliness increased or whether a change in loneliness from pre- to intrapandemic period was associated with mental health during the pandemic is unknown. METHODS: Older women (n = 27 479; mean age 83.2 [SD: 5.4] years) completed surveys in mid-2020, including questions about loneliness, living arrangements, changes in social connections, and mental health. Loneliness was also previously assessed in 2014-2016. We examined whether loneliness changed from the pre- to intrapandemic period and explored factors associated with this change. In multivariable models, we investigated the association of changes in loneliness and social connections with mental health. RESULTS: Loneliness increased from pre- to intrapandemic levels. Factors associated with worsening loneliness included older age, experiencing stressful life events, bereavement, histories of vascular disease and depression, and social connection disruptions. Factors associated with a decrease in loneliness included identifying as Black, engaging in more frequent physical activity, being optimistic, and having a higher purpose in life. A 3-point increase in loneliness scores was associated with higher perceived stress, higher depressive, and higher anxiety symptoms. Social connection disruptions showed modest or no associations with mental health. CONCLUSIONS: Loneliness increased during the pandemic in older women and was associated with higher stress, depressive, and anxiety symptoms. Our findings point to opportunities for interventions targeting lifestyle behaviors, well-being, disrupted social connections, and paying closer attention to those with specific medical and mental health histories that may reduce loneliness and improve mental health.

Reproductive and menstrual factors and risk of ductal carcinoma in situ of the breast in a cohort of postmenopausal women.

PURPOSE: The contribution of menstrual and reproductive factors to risk of ductal carcinoma (DCIS) of the breast is poorly understood. METHODS: The association between menstrual and reproductive factors and subsequent DCIS risk was examined in Women's Health Initiative (WHI) clinical trial participants, in which mammography was protocol mandated. The cohort consisted of 64,060 women, among whom 664 cases of DCIS were ascertained over a median follow-up of 12.0 years. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (95% CI). RESULTS: After adjustment for covariates, only older age at menopause (HR ≥ 55 vs. 45-54 : 1.39, 95% CI 1.08-1.79) was significantly associated with risk; however, greater parity (HR ≥ 5 live births vs. 0: 0.70, 95% CI 0.47-1.03), among parous women, and age at first live birth (HR ≥ 30 years relative to <20 years: 1.32, 95% CI 0.92-1.90) were of borderline significance. Age at menarche and months of breast-feeding were not associated with risk. Associations did not differ between high- and low-/moderate-grade DCIS, or by level of body mass index or family history of breast cancer; however, there was a suggestion that the associations of age at menopause, parity, and age at first live birth were limited to women who had ever used hormone therapy. CONCLUSIONS: Findings from this large cohort of postmenopausal women suggest that age at menopause, and possibly, age at first live birth, and parity are associated with risk of DCIS, whereas age at menarche and duration of breast-feeding are not.