The Role of Family History of Depression in the Development of Major Depression in Women During Midlife

Depression is associated with increased morbidity and mortality and is highly prevalent, particularly in women. Studies indicate increased risk for onset of new and recurrent episodes of major depression in women during midlife. To improve understanding of the etiology of depression in midlife women and to inform prevention and treatment efforts, the risk and protective factors that influence the occurrence and course of depression in midlife women should be determined. In particular, the role of family history of depression in the development of depression among midlife women is unknown. This dissertation explores associations between family history and major depression in midlife women in the context of other risk and protective factors. First, the relationship between family history and major depression was examined in 303 midlife women. Results showed that family history of depression is a significant predictor of midlife major depression, particularly in women with a history of depression prior to midlife. Second, data from the same cohort of midlife women showed that family history of depression is associated with midlife major depression, after controlling for the menopausal transition and relevant time-varying covariates. Furthermore, menopausal status is associated with major depression among midlife women without a family history of depression, but not among those with a family history. Third, potential mediators of the relationship between family history and the onset of major depression during midlife were explored in 103 midlife women with a lifetime history of depression. Mediation analyses provided evidence that childhood abuse, trait anxiety, and life events mediate the effect of family history on the onset of depression during midlife. In conclusion, family history of depression continues to play an important role in the development of depression in women during midlife, particularly for women with a prior history of depression. The public health relevance of our findings is that clinicians may be able to improve the emotional health of midlife women by assessing family and lifetime history of depression to identify those at risk and by closely monitoring mood among women found to have such histories, thus allowing for implementation of appropriate interventions in a timely manner

Comparison of SWAN and WISE Menopausal Status Classification Algorithms

Background: Classification of menopausal status is important for epidemiological and clinical studies as well as for clinicians treating midlife women. Most epidemiological studies, including the Study of Women's Health Across the Nation (SWAN), classify women based on self-reported bleeding history. Methods: The Women's Ischemia Syndrome Evaluation (WISE) study developed an algorithm using menstrual and reproductive history and serum hormone levels to reproduce the menopausal status classifications assigned by the WISE hormone committee. We applied that algorithm to women participating in SWAN and examined characteristics of women with concordant and discordant SWAN and WISE classifications. Results: Of the 3215 SWAN women with complete information at baseline (1995–1997), 2466 (76.7%) received concordant classifications (kappa = 0.52); at the fifth annual follow-up visit, of the 1623 women with complete information, 1154 (72.7%) received concordant classifications (kappa = 0.57). At each time point, we identified subgroups of women with discordant SWAN and WISE classifications. These subgroups, ordered by chronological age, showed increasing trends for menopausal symptoms and follicle-stimulating hormone (FSH) and a decreasing trend for estrogen (p < 0.001). Conclusions: The WISE algorithm is a useful tool for studies that have access to blood samples for hormone data unrelated to menstrual cycle phase, with or without an intact uterus, and no resources for adjudication. Future studies may want to combine aspects of the SWAN and WISE algorithms by adding hormonal measures to the series of bleeding questions in order to determine more precisely where women are in the perimenopausal continuum.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63232/1/jwh.2006.15.1184.pd

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Longitudinal Analysis of the Association Between Vasomotor Symptoms and Race/Ethnicity Across the Menopausal Transition: Study of Women’s Health Across the Nation

Objectives. We investigated whether vasomotor symptom reporting or patterns of change in symptom reporting over the perimenopausal transition among women enrolled in a national study differed according to race/ethnicity. We also sought to determine whether racial/ethnic differences were explained by sociodemographic, health, or lifestyle factors. Methods. We followed 3198 women enrolled in the Study of Women’s Health Across the Nation during 1996 through 2002. We analyzed frequency of vasomotor symptom reporting using longitudinal multiple logistic regressions. Results. Rates of vasomotor symptom reporting were highest among African Americans (adjusted odds ratio [OR]=1.63; 95% confidence interval [CI]=1.21, 2.20). The transition to late perimenopause exhibited the strongest association with vasomotor symptoms (adjusted OR = 6.64; 95% CI = 4.80, 9.20). Other risk factors were age (adjusted OR=1.17; 95% CI=1.13, 1.21), having less than a college education (adjusted OR = 1.91; 95% CI = 1.40, 2.61), increasing body mass index (adjusted OR=1.03 per unit of increase; 95% CI=1.01, 1.04), smoking (adjusted OR=1.63; 95% CI=1.25, 2.12), and anxiety symptoms at baseline (adjusted OR=3.10; 95% CI=2.33, 4.12). Conclusions. Among the risk factors assessed, vasomotor symptoms were most strongly associated with menopausal status. After adjustment for covariates, symptoms were reported most often in all racial/ethnic groups in late perimenopause and nearly as often in postmenopause

The Effect of Gestational Weight Gain Across Reproductive History on Maternal Body Mass Index in Midlife: The Study of Women\u27s Health Across the Nation

Background: Excessive weight gain during pregnancy is common and has been shown to be associated with increased long-term maternal weight. However, less is known on whether there is a cumulative effect of excessive gestational weight gain (GWG) over multiple pregnancies. Methods: Data from the Study of Women\u27s Health Across the Nation were used, restricted to parous women with no history of stillbirth or premature birth. The effect of the number of excessive GWG pregnancies on body mass index (BMI) in midlife (age 42-53) was analyzed using multivariable linear regression. Fully adjusted models included parity, inadequate GWG, demographic, and behavioral characteristics. Results: The 1181 women included in this analysis reported a total of 2693 births. Overall, 466 (39.5%) were categorized as having at least one pregnancy with excessive GWG. The median BMI at midlife was 26.0 kg/m(2) (interquartile range 22.5-31.1). In fully adjusted models, each additional pregnancy with excessive GWG was associated with 0.021 higher estimated log BMI (p = 0.031). Among women with 1-3 births, adjusted mean (95% confidence interval) BMI for those with 0, 1, 2, and 3 excessive GWG pregnancies was 25.4 (24.9-25.9), 26.8 (26.1-27.5), 27.5 (26.6-28.4), and 28.8 (27.3-30.5), respectively. Conclusions: In this multiethnic study of women with a history of term live births, the number of pregnancies with excessive GWG was associated with increased maternal BMI in midlife. Our findings suggest that prevention of excessive GWG at any point in a woman\u27s reproductive history can have an impact on long-term maternal health

Health-related quality of life among breast cancer survivors and noncancer controls over 10 years: Pink SWAN

BACKGROUND: The goal of this study was to compare health-related quality of life (HRQL) from diagnosis to 10 years postdiagnosis among breast cancer survivors (BCS) and women without cancer over the same period and to identify BCS subgroups exhibiting different HRQL trajectories. METHODS: Our analysis included 141 BCS and 2086 controls from the Study of Women\u27s Health Across the Nation (SWAN), a multiracial/ethnic cohort study of mid-life women assessed approximately annually from 1995 to 2015. Pink SWAN participants reported no cancer at SWAN enrollment and developed (cases) or did not develop (controls) incident breast cancer after enrollment. We assessed HRQL with SF-36 Mental Component Summary and Physical Component Summary scores. We modeled each as a function of case/control status, years since diagnosis, years since diagnosis squared, and the interaction terms between case/control status and the 2 time variables in linear models. We characterized heterogeneity in postdiagnosis HRQL of cases using group-based trajectories. RESULTS: BCS had significantly lower HRQL compared with controls at diagnosis and 1 year postdiagnosis. By 2 years, BCS and controls no longer differed significantly. Among BCS, 2 trajectory groups were identified for both scores. For the Mental Component Summary, 88.4% of BCS had consistently good and 11.6% had very low scores. For the Physical Component Summary, 73.9% had good scores, and 26.1% had consistently low scores. Prediagnosis perceived stress and current smoking were related to being in the low mental trajectory group, and a higher number of comorbidities was related to being in the low physical trajectory group. CONCLUSION: Although the majority of BCS have HRQL similar to non-cancer controls after 2 years, subgroups of BCS continue to have low HRQL. Prediagnosis stress, comorbidities, and smoking are vulnerability factors for long-term, low HRQL in BCS

Change in sexual functioning over the menopausal transition

ObjectiveThe aim of the study was to identify whether there is a decline in sexual functioning related to the menopausal transition or to hysterectomy.MethodsIn a cohort of 1,390 women aged 42 to 52, with intact uterus and at least one ovary, not using hormone therapy, and pre- or early perimenopausal at baseline, we fit piecewise linear growth curves to 5,798 repeated measurements (seven visits spanning 14.5 y) of a sexual functioning score (range, 5-25) as a function of time relative to date of final menstrual period (FMP) or hysterectomy.ResultsMean sexual functioning at baseline in women with a dateable FMP was 18.0 (SD, 3.4). There was no change in sexual function until 20 months before the FMP. From 20 months before until 1 year after the FMP, sexual function decreased by 0.35 annually (95% CI, -0.44 to -0.26) and continued to decline more than 1 year after the FMP, but at a slower rate (-0.13 annually, 95% CI, -0.17 to -0.10). The decline was smaller in African Americans and larger in Japanese than whites. Vaginal dryness, lubricant use, depressive symptoms, or anxiety did not explain decline in sexual function. Women who had a hysterectomy before the FMP did not show a decline in sexual function before hysterectomy, but scores declined afterward (0.21 annually, 95% CI, -0.28 to -0.14).ConclusionsDecline in sexual function became apparent 20 months before FMP and slowed 1 year after FMP through 5 years afterward. A decline in sexual function was observed immediately after hysterectomy and persisted for the 5 years of observation

The impact of breast cancer on physical activity from midlife to early older adulthood and predictors of change post-diagnosis

PURPOSE: To examine physical activity (PA) patterns from pre- to post-diagnosis, and compare these changes to women without breast cancer. To determine pre-diagnosis predictors of PA change, post-diagnosis, in breast cancer survivors (BCS). METHODS: Data were from 2314 Study of Women\u27s Health Across the Nation (SWAN) participants, average age of 46.4 +/- 2.7 years at baseline (1996-1997). In Pink SWAN, 151 women who reported an incident breast cancer diagnosis over 20 years were classified as BCS; the remaining 2163 women were controls. LOESS plots and linear mixed models were used to illustrate and compare PA changes (sports/exercise [primary measure] and total PA) from pre- to post-diagnosis (or corresponding period) in BCS versus controls. Adjusted linear regression models were used to determine pre-diagnosis predictors of at-risk post-diagnosis PA change patterns (consistently low and decreased PA). RESULTS: No differences in pre- to post-diagnosis PA (or corresponding period) were observed in BCS versus controls. Among BCS, the odds of at-risk post-diagnosis PA change patterns was 2.50 (95% CI 0.96-6.48) times higher for those who reported sleep problems at \u3e /= 50% (compared to 0%) of pre-diagnosis visits and 3.49 (95% CI 1.26-9.65) times higher for those who were overweight or obese at all (compared to no) pre-diagnosis visits. No other statistically significant predictors were noted. CONCLUSIONS: Age-related declines in PA were not amplified by a breast cancer diagnosis. Given the beneficial role of PA across the cancer control continuum, efforts to increase or maintain adequate PA, post-diagnosis, should be continued. IMPLICATIONS FOR CANCER SURVIVORS: While age-related physical activity declines were not amplified breast cancer diagnosis, efforts to identify breast cancer survivors at increased risk for post-diagnosis physical activity declines (or maintenance of low activity) may be a high-yield strategy to improve prognosis and quality of life