Does childhood maltreatment or current stress contribute to increased risk for major depression during the menopause transition?

BACKGROUND: The menopausal transition (MT) poses an increased risk for major depression (MD), but not for all women. Current and past stress are toxic risk factors for depression throughout life. The MT may be a time of increased sensitivity to stress, especially among women with a lifetime history of major depressive disorder (MDD). We evaluated whether women who experienced childhood maltreatment (CM) or current stressful events or ongoing problems were at increased risk for MD during the MT. METHODS: At the Pittsburgh site of the Study of Women's Health Across the Nation, 333 midlife women were interviewed approximately annually over 15 years with the Structured Clinical Interview for the Diagnosis of DSM-IV Axis I Disorders and provided health and psychosocial data including the Childhood Trauma Questionnaire. Repeated measures logistic regression analyses were conducted separately for women with and without lifetime MDD at study entry. RESULTS: Among women with lifetime MDD, CM, but not current stress, interacted with menopausal status to increase the risk for MD during postmenopause (ORs ranged from 2.71 to 8.04). All stressors were associated with increased odds of MD. Among women without lifetime MDD, current stress was related to risk for MD, but the effect did not vary by menopausal status. CONCLUSIONS: Women with MDD prior to midlife and who experienced CM were at greatest risk for MD after the MT. Women without prior MDD were at increased risk for MD during peri- and postmenopause. Healthcare providers should monitor women at risk for MD even after the MT.

Optimising sleep and performance during night float: A systematic review of evidence and implications for graduate medical education trainees.

Graduate medical education (GME) training commonly requires residents and fellows to engage in night float shift work. This review aims to assess the effectiveness of interventions for trainees when preparing for, completing, and recovering from working night float shifts. We reviewed all available studies published prior to September 2019 using PubMed, Scopus, CINAHL, the Cochrane library, PsycINFO, and Google Scholar databases. We included all original, primary research articles assessing either non-pharmacological or pharmacological interventions on the chronobiological and physiological effects of night float shift work among GME trainees. Five studies (n = 179 patients) met inclusion criteria. Interventions included melatonin in the morning before sleep after night float shifts, napping during night float shifts, modafinil after a night of sleep deprivation, and caffeinated energy drinks after 6 consecutive night float shifts. Melatonin improved one measure of attention. A 2-hr nap was associated with improved speed related to task switching. Modafinil improved performance in tests of cognition. Caffeinated energy drinks led to improvement in select driving performance variables and reaction time. Effect sizes for outcome variables were calculated. Heterogeneity among the studies precluded combining the data in a meta-analysis. According to GRADE criteria, the quality of the evidence in these studies was low or very low. Our findings suggest GME trainees may benefit from utilising a limited number of interventions when preparing for or recovering from night float shift work. More investigation is needed to identify interventions that could help GME trainees adapt to and recover from working night float shifts.

Longitudinal Association Between Depressive Symptoms and Multidimensional Sleep Health: The SWAN Sleep Study.

BACKGROUND: Depressive symptoms and sleep disturbances disproportionately affect midlife women. While there may be a bidirectional association, few studies have examined whether depressive symptoms are longitudinally associated with subsequent sleep. Sleep is typically considered unidimensional, despite emerging evidence that multidimensional sleep health provides novel information on the sleep-health link. PURPOSE: The current study examined whether higher depressive symptoms were longitudinally associated with poorer multidimensional sleep health. METHOD: Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale across six to nine annual assessments in 302 midlife women from the Study of Women's Health Across the Nation. Six months after their last assessment, actigraphy (mean ± standard deviation = 29.3 ± 6.9 days) and self-report were used to assess sleep health components: efficiency, duration, mid-sleep timing, regularity, alertness, and satisfaction, which were dichotomized and summed to create a composite multidimensional sleep health score. Mixed-effects models were used to evaluate the longitudinal associations between depressive symptoms and multidimensional sleep health, as well as individual sleep health components, adjusting for covariates. Exploratory analyses stratified models by race/ethnicity. RESULTS: Higher depressive symptoms were associated with subsequent poorer multidimensional sleep health (p < .0.001) and lower alertness (p < .0001) and satisfaction with sleep (p < .0001). CONCLUSIONS: Our finding that higher average depressive symptoms were associated longitudinally with actigraphy-measured poorer sleep health in midlife women is novel and converges with the larger body of evidence that these two common symptoms are strongly associated. The bidirectional relationship between these two prevalent symptoms needs to be studied in prospective longitudinal studies.

Sleep medications and sleep disturbances across middle aged pre- or peri-menopausal women of different race and ethnicities: A SWAN pharmacoepidemiology cohort study.

PURPOSE: Sleep disturbances are common, particularly in middle aged women. Prescription medications for this indication are increasingly used, despite uncertain safety. This study assessed prescription medication use for sleep among a cohort of women with and without sleep disturbances. METHODS: We examined reports of sleep disturbance and sleep medication use among pre- and early peri-menopausal womenassessed annually or biennially since 1996. Women self-reported medications at visits, and we identified medications that have been used primarily for sleep disturbances. They reported on difficulties falling and staying asleep, and early morning wakening. Sleep medication use across 20 years of follow-up was examined for all women and by race/ethnicity. Women who reported data for both sleep disturbance and sleep medication use were included in the analyses.. RESULTS: Among participants in a cohort of 3302 women who were enrolled prior to their menopause transition, 3082 women were included in the analytic sample and 2531 (82%) reported sleep disturbances. They were more likely to endorse higher anxiety and pain scores and more comorbid conditions than women without sleep disturbances. Baseline characteristics were similar among women who did and did not use sleep medications. Among women reporting a sleep disturbance at baseline, 2.5% reported sleep medication use, increasing to 8% over 20 years. However, the proportion of women reporting sleep medication use who did not report a sleep disturbance remained low, approximately 1% to 2% over the entire follow-up. Increases in sleep medication use was observed across women of all race/ethnicities. CONCLUSIONS: The use of sleep medications among women reporting sleep disturbance grew over the last 20 years. Growth was observed across women of all race/ethnicities.

Body mass index versus bioelectrical impedance analysis for classifying physical function impairment in a racially diverse cohort of midlife women: the Study of Women's Health Across the Nation (SWAN).

BACKGROUND: Body composition strongly influences physical function in older adults. Bioelectrical impedance analysis (BIA) differentiates fat mass from skeletal muscle mass, and may be more useful than body mass index (BMI) for classifying women on their likelihood of physical function impairment. AIMS: This study tested whether BIA-derived estimates of percentage body fat (%BF) and height-normalized skeletal muscle mass (skeletal muscle mass index; SMI) enhance classification of physical function impairment relative to BMI. METHOD: Black, White, Chinese, and Japanese midlife women (N = 1482) in the Study of Women's Health Across the Nation (SWAN) completed performance-based measures of physical function. BMI (kg/m2) was calculated. %BF and SMI were derived through BIA. Receiver-operating characteristic (ROC) curve analysis, conducted in the overall sample and stratified by racial group, evaluated optimal cutpoints of BMI, %BF, and SMI for classifying women on moderate-severe physical function impairment. RESULTS: In the overall sample, a BMI cutpoint of ≥ 30.1 kg/m2 correctly classified 71.1% of women on physical function impairment, and optimal cutpoints for %BF (≥ 43.4%) and SMI (≥ 8.1 kg/m2) correctly classified 69% and 62% of women, respectively. SMI did not meaningfully enhanced classification relative to BMI (change in area under the ROC curve = 0.002; net reclassification improvement = 0.021; integrated discrimination improvement = - 0.003). Optimal cutpoints for BMI, %BF, and SMI varied substantially across race. Among Black women, a %BF cutpoint of 43.9% performed somewhat better than BMI (change in area under the ROC curve = 0.017; sensitivity = 0.69, specificity = 0.64). CONCLUSION: Some race-specific BMI and %BF cutpoints have moderate utility for identifying impaired physical function among midlife women.

Psychosocial and health-related risk factors for depressive symptom trajectories among midlife women over 15 years: Study of Women's Health Across the Nation (SWAN).

BACKGROUND: Psychosocial and health-related risk factors for depressive symptoms are known. It is unclear if these are associated with depressive symptom patterns over time. We identified trajectories of depressive symptoms and their risk factors among midlife women followed over 15 years. METHODS: Participants were 3300 multiracial/ethnic women enrolled in a multisite longitudinal menopause and aging study, Study of Women's Health Across the Nation. Biological, psychosocial, and depressive symptom data were collected approximately annually. Group-based trajectory modeling identified women with similar longitudinal patterns of depressive symptoms. Trajectory groups were compared on time-invariant and varying characteristics using multivariable multinomial analyses and pairwise comparisons. RESULTS: Five symptom trajectories were compared (50% very low; 29% low; 5% increasing; 11% decreasing; 5% high). Relative to whites, blacks were less likely to be in the increasing trajectory and more likely to be in the decreasing symptom trajectory and Hispanics were more likely to have a high symptom trajectory than an increasing trajectory. Psychosocial/health factors varied between groups. A rise in sleep problems was associated with higher odds of having an increasing trajectory and a rise in social support was associated with lower odds. Women with low role functioning for 50% or more visits had three times the odds of being in the increasing symptom group. CONCLUSIONS: Changes in psychosocial and health characteristics were related to changing depressive symptom trajectories. Health care providers need to evaluate women's sleep quality, social support, life events, and role functioning repeatedly during midlife to monitor changes in these and depressive symptoms.

Race/ethnic comparisons of waist-to-height ratio for cardiometabolic screening: The study of women's health across the nation.

OBJECTIVE: To compare the performance of waist-to-height ratio as a screening tool for cardiometabolic conditions - hypertension, prediabetes/diabetes, dyslipidemia, and subclinical inflammation - in 5 race/ethnic groups of mid-life women. METHODS: Waist-to-height ratio and 4 cardiometabolic conditions were assessed in 3033 premenopausal midlife women (249 Hispanic, 226 Chinese, 262 Japanese, 1435 European-American, and 861 African American). The areas under the receiver operating characteristic curve (AUROC) were compared across the five race/ethnic groups using waist-to-height ratio to determine the likelihood of the four cardiometabolic conditions. RESULTS: The performance of waist-to-height ratio to detect one or more cardiometabolic conditions was comparable among all race/ethnic groups (AUROC > 0.60, p = 0.252), and was good/fair (AUROC > 0.60) when hypertension, prediabetes/diabetes, dyslipidemia, or subclinical inflammation were analyzed separately. The performance of waist-to-height ratio of 0.50 was skewed towards higher specificity among groups with low prevalence of cardiometabolic conditions and lower median waist-to-height ratio, and towards higher sensitivity among groups with high prevalence of cardiometabolic conditions and higher median waist-to-height ratio. CONCLUSIONS: Waist-to-height ratio can be used for community-based screening of mid-life women who may need secondary prevention for cardiometabolic conditions. A simple public health message: "Keep your waist to less than half of your height" applies to midlife women.

Childhood socioeconomic circumstances and depressive symptom burden across 15 years of follow-up during midlife: Study of Women's Health Across the Nation (SWAN).

Childhood socioeconomic disadvantage may contribute to adult depression. Understanding pathways by which early socioeconomic adversity may shape adult depression is important for identifying areas for intervention. Studies to date have focused on one potential pathway, adult socioeconomic status (SES), and assessed depression at only one or a few time points. Our aims were to examine (a) the association between childhood SES (low vs. high) and depressive symptom burden in midlife and (b) whether adult socioeconomic, psychosocial, and physical health characteristics are important pathways. Using annual data from a cohort of 1109 black and white US women recruited in 1996-1997, we evaluated the association between childhood SES and depressive symptom burden across 15 years in midlife and whether adult characteristics-financial difficulty, lower education, stressful events, low social support, low role functioning, medical conditions, and bodily pain-mediated the association. Depressive symptom burden was estimated by calculating area under the curve of annual scores across 15 years of the Center for Epidemiological Studies Depression (CES-D). In unadjusted models, low childhood SES was associated with greater depressive burden (P = 0.0002). Each hypothesized mediator, individually, did not reduce the association. However, when five of the hypothesized mediators were included together in the same analysis, they explained more than two thirds of the association between childhood SES and depressive symptom burden reducing the P value for childhood SES to non-significance (P = 0.20). These results suggest that childhood SES influences midlife depressive symptom burden through a cluster of economic stress, limited social resources, and physical symptoms in adulthood.

Support vector machines for automated snoring detection: proof-of-concept.

BACKGROUND: Snoring has been shown to be associated with adverse physical and mental health, independent of the effects of sleep disordered breathing. Despite increasing evidence for the risks of snoring, few studies on sleep and health include objective measures of snoring. One reason for this methodological limitation is the difficulty of quantifying snoring. Conventional methods may rely on manual scoring of snore events by trained human scorers, but this process is both time- and labor-intensive, making the measurement of objective snoring impractical for large or multi-night studies. METHODS: The current study is a proof-of-concept to validate the use of support vector machines (SVM), a form of machine learning, for the automated scoring of an objective snoring signal. An SVM algorithm was trained and tested on a set of approximately 150,000 snoring and non-snoring data segments, and F-scores for SVM performance compared to visual scoring performance were calculated using the Wilcoxon signed rank test for paired data. RESULTS: The ability of the SVM algorithm to discriminate snore from non-snore segments of data did not differ statistically from visual scorer performance (SVM F-score = 82.46 ± 7.93 versus average visual F-score = 88.35 ± 4.61, p = 0.2786), supporting SVM snore classification ability comparable to visual scorers. CONCLUSION: In this proof-of-concept, we established that the SVM algorithm performs comparably to trained visual scorers, supporting the use of SVM for automated snoring detection in future studies.

Long- and Short-term Exposure to Air Pollution and Inflammatory/Hemostatic Markers in Midlife Women.

BACKGROUND: Studies have reported associations between long-term air pollution exposures and cardiovascular mortality. The biological mechanisms connecting them remain uncertain. METHODS: We examined associations of fine particles (PM2.5) and ozone with serum markers of cardiovascular disease risk in a cohort of midlife women. We obtained information from women enrolled at six sites in the multi-ethnic, longitudinal Study of Women's Health Across the Nation, including repeated measurements of high-sensitivity C-reactive protein, fibrinogen, tissue-type plasminogen activator antigen, plasminogen activator inhibitor type 1, and factor VIIc (factor VII coagulant activity). We obtained residence-proximate PM2.5 and ozone monitoring data for a maximum five annual visits, calculating prior year, 6-month, 1-month, and 1-day exposures and their relations to serum markers using longitudinal mixed models. RESULTS: For the 2,086 women studied from 1999 to 2004, PM2.5 exposures were associated with all blood markers except factor VIIc after adjusting for age, race/ethnicity, education, site, body mass index, smoking, and recent alcohol use. Adjusted associations were strongest for prior year exposures for high-sensitivity C-reactive protein (21% increase per 10 µg/m³ PM2.5, 95% confidence interval [CI]: 6.6, 37), tissue-type plasminogen activator antigen (8.6%, 95% CI: 1.8, 16), and plasminogen activator inhibitor (35%, 95% CI: 19, 53). An association was also observed between year prior ozone exposure and factor VIIc (5.7% increase per 10 ppb ozone, 95% CI: 2.9, 8.5). CONCLUSIONS: Our findings suggest that prior year exposures to PM2.5 and ozone are associated with adverse effects on inflammatory and hemostatic pathways for cardiovascular outcomes in midlife women.

Childhood Socioeconomic Circumstances, Inflammation, and Hemostasis Among Midlife Women: Study of Women's Health Across the Nation.

BACKGROUND: Childhood socioeconomic status (SES) is related to risk for cardiovascular disease in adulthood, perhaps, in part, due to associations with inflammatory and hemostasis processes. We tested the hypotheses that childhood SES is related to C-reactive protein (CRP), fibrinogen, factor VIIc, and plasminogen activator inhibitor-1 (PAI-1) in midlife women and that the associations are mediated by adult SES and/or adult body mass index (BMI). METHODS: Using data from the prospective Study of Women's Health Across the Nation, we classified 1067 black and white women into 3 multidimensional childhood SES groups based on latent class analysis. Biological measures were assessed across 7 years along with covariates and mediators and analyzed by mixed regression models, followed by tests for mediation. RESULTS: Compared with women raised in high SES families, those from the lowest SES families had higher levels of CRP (b [standard error] = 0.37 [0.11]), PAI-1 (b = 0.23 [0.07]) factor VIIc (b = 0.05 [0.02]), and fibrinogen (b = 11.06 [4.89]), after adjustment for ethnicity, site, age, ratings of health between ages 11 and 18 years, visit, smoking status, menopausal status, stroke or heart attack, medications, and hormone use. Introduction of adult SES and BMI into the models reduced the childhood SES associations to nonsignificance for all four measures. Indirect mediation was apparent for adult education and BMI for CRP, and BMI for PAI-1. CONCLUSIONS: Women raised in lower SES families had elevated markers of inflammation and hemostasis, in part, due to elevated BMI and education in adulthood.

A Longitudinal Investigation of Race, Socioeconomic Status, and Psychosocial Mediators of Allostatic Load in Midlife Women: Findings From the Study of Women's Health Across the Nation.

OBJECTIVES: This research sought to assess racial and socioeconomic status (SES) differences in level and change in allostatic load (AL) over time in midlife women and to test whether psychosocial factors mediate these relationships. These factors were discrimination, perceived stress, and hostility. METHODS: Longitudinal data obtained from the Study of Women's Health Across the Nation were used (n = 2063; mean age at baseline = 46.0 years). Latent growth curve models evaluated the impact of demographic, menopausal, and psychosocial variables on level and change in AL for 8 years. RESULTS: Direct effects: high levels of discrimination and hostility significantly predicted higher AL (path coefficients = 0.05 and 0.05, respectively). High perceived stress significantly predicted a faster rate of increase of AL (path coefficient = 0.06). Racial and SES differentials were present, with African American race (path coefficient = 0.23), low income (path coefficient = -0.15), and low education (path coefficient = -0.08) significantly predicting high AL level. Indirect effects: significant indirect effects were found for African American race, less income, and lower education through higher discrimination, perceived stress, and hostility on level and rate of AL. CONCLUSIONS: This was one of the first studies that investigated AL over multiple periods, and results supported AL as a cumulative phenomenon, affected by multiple psychosocial and demographic factors. The results suggest the complex ways in which race, SES, and psychosocial factors operate to influence AL.

Meal preparation and cleanup time and cardiometabolic risk over 14 years in the Study of Women's Health Across the Nation (SWAN).

OBJECTIVE: To determine whether baseline levels and longitudinal changes in meal preparation and cleanup time are associated with changes in cardiometabolic risk factors in midlife women. METHODS: Subjects were 2755 midlife women enrolled in the Study of Women's Health Across the Nation, a multi-ethnic, longitudinal cohort study in the United States. The five diagnostic components of the metabolic syndrome and meal preparation/cleanup time were assessed repeatedly across 14 years of follow-up (spanning 1996-2011) at seven U.S. sites. Mixed-effects logistic and ordered logistic models tested associations between meal preparation/cleanup time and odds of meeting criteria for metabolic syndrome and its individual diagnostic components. RESULTS: Women who spent more time preparing and cleaning up meals at baseline, or demonstrated greater increases in this activity, had greater increases over time in their odds of having metabolic syndrome and in the number of metabolic syndrome components for which they met criteria. Adjusted associations were observed between meal preparation/cleanup time and hypertension, impaired fasting glucose, hypertriglyceridemia, and low high-density lipoprotein cholesterol, but not abdominal obesity. CONCLUSIONS: In midlife women, greater meal preparation/cleanup time is associated with the development of an adverse cardiometabolic risk profile. Public health interventions should place greater emphasis on cooking healthfully, not just cooking frequently.

Fibrofog and fibromyalgia: a narrative review and implications for clinical practice.

Patients with fibromyalgia often report forgetfulness as well as declines in cognitive function, memory, and mental alertness-symptoms that have been termed "fibrofog" in popular and electronic media as well as in professional literature. "Fibrofog" is the subjectively experienced cognitive dysfunction associated with fibromyalgia and is a clinically important yet comparatively less well-studied aspect of the disorder; it includes loss of mental clarity (mental fogginess) as well as attention and memory impairment. Although until recently cognitive symptoms have been largely ignored, these symptoms can be more disturbing than the widespread pain and can change these patients' lives, sometimes dramatically so. Whereas widespread musculoskeletal pain, tenderness, and fatigue may be the hallmark symptoms of fibromyalgia, patients rank cognitive dysfunction highly in terms of disease impact. This review addresses (1) the prevalence of self-reported cognitive disturbances in fibromyalgia, (2) the clinical presentation of fibrofog, (3) neuropsychological test performance, with particular attention to discrepancies between self-report and test results, (3) clinical correlates of impaired cognitive function in fibromyalgia, (4) neurobiology relevant to cognitive disturbances in fibromyalgia, and (5) clinical management of fibrofog. Although the pathophysiology of fibromyalgia remains an enigma, evidence suggests that it may be a brain disorder, with cognitive deficits ("fibrofog") reflecting disturbed centrally mediated processes.

Chronic pain, body mass index and cardiovascular disease risk factors: tests of moderation, unique and shared relationships in the Study of Women's Health Across the Nation (SWAN).

Chronic pain may be related to cardiovascular disease (CVD) risk. The current study examined whether persistent bodily pain was related to cardiovascular disease risk factors, whether these effects were moderated by body mass index (BMI), and, if not, whether chronic pain accounted for unique variance in CVD risk factors. Participants were women (N = 2,135) in the Study of Women's Health Across the Nation. A high pain frequency variable (high pain in 0 through 4 assessments) was coded to reflect the frequency of high levels of bodily pain across the first 3 years of the study. Six CVD risk factors and BMI were measured at follow-up year 3. High pain frequency and BMI were correlated significantly with risk factors, although effects for the former were small. Hierarchical multiple regressions revealed high pain frequency × BMI interactions for 5 of 6 CVD risk factors. Dissecting the interactions revealed a similar pattern across 4 risk factors: for women with normal BMI, there was a "dose-response" in which increasing frequency of high pain revealed increasingly worse CVD risk factor levels, whereas for women with obese BMI, high pain frequency was unrelated to risk factors. For obese women, increasing frequency of high pain was associated with higher blood glucose. Although BMI is a well-established CVD risk factor, evaluation of CVD risk level may be improved by considering the incidence of persistent pain, particularly in normal weight women (BMI < 25 kg/m(2)) lower BMI.

A 24-hour approach to the study of health behaviors: temporal relationships between waking health behaviors and sleep.

BACKGROUND: Although sleep is often associated with waking health behaviors (WHB) such as alcohol consumption, caffeine use, smoking, and exercise, the causal direction of these relationships is unclear. PURPOSE: The present study used time series data to examine the temporal dynamics of WHB and sleep characteristics in participants of the Study of Women's Health Across the Nation Sleep Study. METHODS: Three hundred three women completed daily assessments of WHB and wore wrist actigraphs to measure sleep characteristics for the duration of the study (mean = 29.42 days, SD = 6.71). RESULTS: Vector autoregressive modeling revealed that weekly patterns of sleep and WHB best predicted subsequent sleep and WHB suggesting that the associations between WHB and sleep persist beyond their immediate influence. Some WHB predicted some subsequent sleep characteristics, but sleep did not predict subsequent WHB. CONCLUSIONS: These novel findings provide insight into the temporal dynamics of 24-h behaviors and encourage consideration of both sleep and WHB in health promotion and behavior change efforts.

Chronic PM2.5 exposure and inflammation: determining sensitive subgroups in mid-life women.

BACKGROUND: Several cohort studies report associations between chronic exposure to ambient fine particles (PM2.5) and cardiovascular mortality. Uncertainty exists about biological mechanisms responsible for this observation, but systemic inflammation has been postulated. In addition, the subgroups susceptible to inflammation have not been fully elucidated. METHODS: We investigated whether certain subgroups are susceptible to the effects of long-term exposure to PM2.5 on C-reactive protein (CRP), a marker of inflammation directly linked to subsequent cardiovascular disease. We used data from the SWAN cohort of 1923 mid-life women with up to five annual repeated measures of CRP. Linear mixed and GEE models accounting for repeated measurements within an individual were used to estimate the effects of prior-year PM2.5 exposure on CRP. We examined CRP as a continuous and as binary outcome for CRP greater than 3mg/l, a level of clinical significance. RESULTS: We found strong associations between PM2.5 and CRP among several subgroups. For example a 10 µg/m(3) increase in annual PM2.5 more than doubled the risk of CRP greater than 3mg/l in older diabetics, smokers and the unmarried. Larger effects were also observed among those with low income, high blood pressure, or who were using hormone therapy, with indications of a protective effects for those using statins or consuming moderate amounts of alcohol. CONCLUSIONS: In this study, we observed significant associations between long-term exposure to PM2.5 and CRP in several susceptible subgroups. This suggests a plausible pathway by which exposure to particulate matter may be associated with increased risk of cardiovascular disease.

Body image satisfaction and depression in midlife women: the Study of Women's Health Across the Nation (SWAN).

With aging, women's bodies undergo changes that can affect body image perception, yet little is known about body image in midlife. The purpose of this study was to examine associations between body image and depressive symptoms in Caucasian and African-American midlife women from the Study of Women's Health Across the Nation (SWAN) Chicago site. Body image was measured using the Stunkard Adult Female Figure Rating Scale, and a clinically significant level of depressive symptoms was defined as Center for Epidemiologic Studies Depression Scale (CES-D) score of ≥16 (N=405; N=63 (15.6%) with clinically significant levels of depressive symptoms). Differences between perceived actual, perceived ideal, and actual body size and responses to questions concerning weight satisfaction and attractiveness were examined using logistic regression for associations with a CES-D score of ≥16. Women with body image dissatisfaction (odds ratio (OR)=1.91; p=0.04) or who perceived themselves as "unattractive" (OR=7.74; p<0.01) had higher odds of CES-D of ≥16. We found no significant difference by race. Our results were not confounded by BMI. These results suggest that midlife women with poor body image may be more likely to have clinically significant levels of depressive symptoms. Larger prospective studies are needed to better understand this association.

Sleep Health and Anxiety Symptoms in Midlife Women: The Study of Women's Health Across the Nation (SWAN).

Purpose: To investigate the associations between anxiety symptoms in midlife women and sleep features later in life, the aim is to test the hypothesis that poor sleep, as measured by each of six individual dimensions (4 objective actigraphy measures, 2 self-reports) of sleep health, is associated with higher levels of anxiety symptoms in midlife women. Participants and Methods: The participants in this longitudinal analysis included women from the SWAN Sleep I Study, a subcohort of the community-dwelling midlife women participating in the core Study of Women's Health Across the Nation (SWAN), which was initiated in 1996. Of the 370 participants enrolled in the Sleep Study, 270 were included in the analytic sample, and 100 who did not meet the inclusion criteria were excluded. Baseline measures of six dimensions of multidimensional sleep health (actigraphy measures: efficiency, duration, mid-sleep timing, regularity; self-report measures: alertness, satisfaction) were obtained between 2003 and 2005, corresponding to SWAN core annual/biennial assessments 5-8. Associations of each dimension with self-reported anxiety symptoms (Generalized Anxiety Disorder - 7-item scale; GAD-7), collected during visits 12 (2009-2011), 13 (2011-2013), and 15 (2015-2017), were examined using mixed models. The GAD-7 outcome was measured both continuously and as a categorical variable due to its skewed distribution. Results: No statistically significant associations were found between any of the six baseline sleep health dimensions and the GAD-7 score after adjustment for covariates. Conclusion: The reasons for the lack of support for our hypothesis, despite previous evidence supporting an association between sleep and anxiety, are unclear. There is considerable overlap between anxiety and sleep symptoms, which may complicate the interpretation of our the findings. Thus, the failure to identify associations is likely multifactorial, and more studies with shorter follow-up intervals are warranted to better understand these relationships.