Dataset Information

Medication Use by Race and Ethnicity in Women Transitioning Through the Menopause: A Study of Women's Health Across the Nation Drug Epidemiology Study.

ABSTRACT:

Background

Medication utilization and costs increased over the last decade, but the effects of race/ethnicity have never been well studied in longitudinal data. We analyzed reports of prescription medication use to (1) identify trajectories of use and (2) determine predictors associated with a large increase in use. Specifically, variations in medication use by race/ethnicity were examined.

Methods

We analyzed the Study of Women's Health Across the Nation cohort with a median of 14 years of follow-up. Group-based trajectory models helped distinguish women with a low use of medications versus those with heavy use. Logistic regression was used to estimate the odds ratio (OR) for each racial/ethnic group associated with heavy use, controlling for potential baseline confounders.

Results

The 2,798 women sampled had a mean age of 46 years at baseline and the median number of medications at baseline was 2, increasing to 4 over the follow-up period. Trajectory models identified that 16% of participants demonstrated heavy use of medications, from a median of 5 at baseline to 10 medications at final follow-up. Regression models controlling for age, obesity, number of comorbid conditions, and pain found that Hispanic (OR?=?0.085, 95% confidence interval [CI]: 0.037-0.20), Chinese (OR?=?0.32, 95% CI: 0.16-0.63), Japanese (OR?=?0.33, 95% CI: 0.17-0.64), and Black (OR?=?0.79, 95% CI: 0.57-1.11) women had lower odds for heavy use compared with White women.

Conclusions

Longitudinal medication use among women in Study of Women's Health Across the Nation (SWAN) differed by race/ethnicity with non-White women having a lower odds of heavy use.

SUBMITTER: Solomon DH

PROVIDER: S-EPMC4900213 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Medication Use by Race and Ethnicity in Women Transitioning Through the Menopause: A Study of Women's Health Across the Nation Drug Epidemiology Study.

Solomon Daniel H DH Ruppert Kristine K Greendale Gail A GA Lian Yinjuan Y Selzer Faith F Finkelstein Joel S JS

Journal of women's health (2002) 20160330 6

<h4>Background</h4>Medication utilization and costs increased over the last decade, but the effects of race/ethnicity have never been well studied in longitudinal data. We analyzed reports of prescription medication use to (1) identify trajectories of use and (2) determine predictors associated with a large increase in use. Specifically, variations in medication use by race/ethnicity were examined.<h4>Methods</h4>We analyzed the Study of Women's Health Across the Nation cohort with a median of 1 ...[more]

PMID: 27028503

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Project description:Patterns of symptom clustering in midlife women may suggest common underlying mechanisms or may identify women at risk of adverse health outcomes or, conversely, likely to experience healthy aging. This paper assesses symptom clustering in the Study of Women's Health Across the Nation (SWAN) longitudinally by stage of reproductive aging and estimates the probability of women experiencing specific symptom clusters. We also evaluate factors that influence the likelihood of specific symptom clusters and assess whether symptom clustering is associated with women's self-reported health status. This analysis includes 3289 participants in the multiethnic SWAN cohort who provided information on 58 symptoms reflecting a broad range of physical, psychological and menopausal symptoms at baseline and 7 follow-up visits over 16 years. We conducted latent transition analyses to assess symptom clustering and to model symptomatology across the menopausal transition (pre, early peri-, late peri- and post-menopausal). Joint multinomial logistic regression models were used to identify demographic characteristics associated with premenopausal latent class membership. A partial proportional odds regression model was used to assess the association between latent class membership and self-reported health status. We identified six latent classes that ranged from highly symptomatic (LC1) across most measured symptoms, to moderately symptomatic across most measured symptoms (LC2), to moderately symptomatic for a subset of symptoms (vasomotor symptoms, pain, fatigue, sleep disturbances and physical health symptoms) (LC3 and LC5) with one class (LC3) including interference in life activities because of physical health symptoms, to numerous milder symptoms, dominated by fatigue and psychological symptoms (LC4), to relatively asymptomatic (LC6). In pre-menopause, 10% of women were classified in LC1, 16% in LC2, 14% in LC3 and LC4, 26% in LC5, and 20% in LC6. Intensity of vasomotor and urogenital symptoms as well as sexual desire) differed minimally by latent class. Classification into the two most symptomatic classes was strongly associated with financial strain, White race/ethnicity, obesity and smoking status. Over time, women were most likely to remain within the same latent class as they transitioned through menopause stages (range 39-76%), although some women worsened or improved. The probability of moving between classes did not differ substantially by menopausal stage. Women in the highly symptomatic classes more frequently rated their health as fair to poor compared to women in the least symptomatic class. Clear patterns of symptom clustering were present early in midlife, tended to be stable over time, and were strongly associated with self-perceived health. Notably, vasomotor symptoms tended to cluster with sleep disturbances and fatigue, were present in each of the moderate to highly symptomatic classes, but were not a defining characteristic of the symptom clusters. Clustering of midlife women by symptoms may suggest common underlying mechanisms amenable to interventions. Given that one-quarter of midlife women were highly or moderately symptomatic across all domains in the pre-menopause, addressing symptom burden in early midlife is likely critical to ameliorating risk in the most vulnerable populations.

Project description:Small clinical studies suggest depression is associated with alterations in adiponectin and leptin, adipocyte-derived secretory proteins involved in metabolic regulation; however, longitudinal data on these association are lacking. This study examined cross-sectional and longitudinal associations of depressive symptoms and major depressive disorder (MDD) with adiponectin and leptin in healthy middle-aged women (mean (SD) age, 45.6 (2.5) years). Cross-sectional analyses included 575 women with baseline adipokine data; longitudinal analyses included 262 women with 2-4 adipokine measurements over 5 years. The 20-item Center for Epidemiologic Studies Depression scale (CES-D) was used to assess depressive symptoms; history of MDD was determined by the Structured Clinical Interview for DSM-IV. Adipokines were assayed from stored serum specimens; values were log-transformed for analyses. Linear and repeated measure random effects regression models evaluated associations of baseline CES-D scores with baseline adipokine concentrations and changes over time, respectively. Secondary analyses evaluated the relation of MDD history with adipokine concentrations. Mean (SD) baseline concentrations of adiponectin and leptin were 9.90 (4.92) μg/mL and 27.02 (20.06) ng/mL; both increased over time (p < .0001). CES-D scores were associated with lower adiponectin at baseline (per 1-SD: estimate=-0.04, SE=.02, p=.03) and over time (per 1-SD: estimate=-0.055, SE = .024, p=.02). Associations were unchanged in risk factor-adjusted models. Women with elevated CES-D scores (≥16) had 6.9% (95% CI: -1.1%, 14.3%; p = .089) lower median adiponectin at baseline and 11.5% (95% CI: 1.5%, 20.4%, p = .025) lower median adiponectin over time in adjusted models, compared to women with CES-D<16. Rate of change in adipokines did not vary by baseline depressive symptoms or MDD history. Depressive symptoms and MDD history were unrelated to leptin. In women at midlife, depressive symptoms are associated with lower adiponectin, a critical anti-inflammatory biomarker involved in metabolic and cardiovascular conditions.

Dataset Information

Medication Use by Race and Ethnicity in Women Transitioning Through the Menopause: A Study of Women's Health Across the Nation Drug Epidemiology Study.

Background

Methods

Results

Conclusions

Publications

Medication Use by Race and Ethnicity in Women Transitioning Through the Menopause: A Study of Women's Health Across the Nation Drug Epidemiology Study.

Similar Datasets

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