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Dive into the research topics where Deidre M. Sepavich is active.

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Featured researches published by Deidre M. Sepavich.


JAMA Internal Medicine | 2012

Statin use and risk of diabetes mellitus in postmenopausal women in the Women's Health Initiative

Annie L. Culver; Ira S. Ockene; Raji Balasubramanian; Barbara C. Olendzki; Deidre M. Sepavich; Jean Wactawski-Wende; JoAnn E. Manson; Yongxia Qiao; Simin Liu; Philip A. Merriam; Catherine Rahilly-Tierny; Fridtjof Thomas; Judith K. Ockene; J. David Curb; Yunsheng Ma

BACKGROUND This study investigates whether the incidence of new-onset diabetes mellitus (DM) is associated with statin use among postmenopausal women participating in the Womens Health Initiative (WHI). METHODS The WHI recruited 161,808 postmenopausal women aged 50 to 79 years at 40 clinical centers across the United States from 1993 to 1998 with ongoing follow-up. The current analysis includes data through 2005. Statin use was captured at enrollment and year 3. Incident DM status was determined annually from enrollment. Cox proportional hazards models were used to estimate the risk of DM by statin use, with adjustments for propensity score and other potential confounding factors. Subgroup analyses by race/ethnicity, obesity status, and age group were conducted to uncover effect modification. RESULTS This investigation included 153,840 women without DM and no missing data at baseline. At baseline, 7.04% reported taking statin medication. There were 10,242 incident cases of self-reported DM over 1,004,466 person-years of follow-up. Statin use at baseline was associated with an increased risk of DM (hazard ratio [HR], 1.71; 95% CI, 1.61-1.83). This association remained after adjusting for other potential confounders (multivariate-adjusted HR, 1.48; 95% CI, 1.38-1.59) and was observed for all types of statin medications. Subset analyses evaluating the association of self-reported DM with longitudinal measures of statin use in 125,575 women confirmed these findings. CONCLUSIONS Statin medication use in postmenopausal women is associated with an increased risk for DM. This may be a medication class effect. Further study by statin type and dose may reveal varying risk levels for new-onset DM in this population.


Diabetes Care | 2011

Elevated depressive symptoms, antidepressant use, and diabetes in a large multiethnic national sample of postmenopausal women

Yunsheng Ma; Raji Balasubramanian; Sherry L. Pagoto; Kristin L. Schneider; Annie L. Culver; Barbara C. Olendzki; Lesley F. Tinker; Simin Liu; Monika M. Safford; Deidre M. Sepavich; Milagros C. Rosal; Judith K. Ockene; Mercedes R. Carnethon; Martha Zorn; James R. Hébert

OBJECTIVE To examine elevated depressive symptoms and antidepressant use in relation to diabetes incidence in the Women’s Health Initiative. RESEARCH DESIGN AND METHODS A total of 161,808 postmenopausal women were followed for over an average of 7.6 years. Hazard ratios (HRs) estimating the effects of elevated depressive symptoms and antidepressant use on newly diagnosed incident diabetes were obtained using Cox proportional hazards models adjusted for known diabetes risk factors. RESULTS Multivariable-adjusted HRs indicated an increased risk of incident diabetes with elevated baseline depressive symptoms (HR 1.13 [95% CI 1.07–1.20]) and antidepressant use (1.18 [1.10–1.28]). These associations persisted through year 3 data, in which respective adjusted HRs were 1.23 (1.09–1.39) and 1.31 (1.14–1.50). CONCLUSIONS Postmenopausal women with elevated depressive symptoms who also use antidepressants have a greater risk of developing incident diabetes. In addition, longstanding elevated depressive symptoms and recent antidepressant medication use increase the risk of incident diabetes.


Ethnicity & Health | 2014

Racial/ethnic disparities in association between dietary quality and incident diabetes in postmenopausal women in the United States: the Women's Health Initiative 1993-2005

Yongxia Qiao; Lesley F. Tinker; Barbara C. Olendzki; James R. Hébert; Raji Balasubramanian; Milagros C. Rosal; Melanie Hingle; Kristin L. Schneider; Simin Liu; Stacy T. Sims; Judith K. Ockene; Deidre M. Sepavich; James M. Shikany; Gioia Persuitte; Yunsheng Ma

Objective. To examine the association of dietary quality and risk of incident diabetes overall and by race/ethnicity among postmenopausal women enrolled in the Womens Health Initiative (WHI). Research methods and procedures. The WHI recruited 161,808 postmenopausal women between 1993 and 1998, and followed them until 2005. Incident diabetes was determined annually over an average of 7.6 years from enrollment. At baseline, all participants completed a Food Frequency Questionnaire (FFQ). Dietary quality was assessed by the Alternate Healthy Eating Index (AHEI), calculated from the baseline FFQ responses. Results. There were 10,307 incident cases of self-reported treated diabetes over 1,172,761 person-years of follow-up. Most participants did not meet the AHEI dietary goals; that is, only 0.1% of women met or exceeded the recommended consumption of vegetables, and few (17.3%) met or exceeded the recommended level for total fiber. After adjusting for potential confounders, women in the highest quintile of the AHEI score were 24% less likely to develop diabetes relative to women in the lowest quintile of AHEI [hazard ratio (HR) = 0.76 (95% CI: 0.70–0.82)]. This association was observed in Whites [HR = 0.74 (95% CI: 0.68–0.82)] and Hispanics [HR = 0.68 (95% CI: 0.46–0.99)], but not in Blacks [HR = 0.85 (95% CI: 0.69–1.05)] or Asians [HR = 0.88 (95% CI: 0.57–1.38)]. Conclusion. These findings support a protective role of healthful eating choices in reducing the risk of developing diabetes, after adjusting for other lifestyle factors, in White and Hispanic postmenopausal women. Future studies are needed to investigate the relationship between dietary quality and risk of diabetes among Blacks and Asians in relationship to other lifestyle factors.


American Journal of Public Health | 2013

Relations of Depressive Symptoms and Antidepressant Use to Body Mass Index and Selected Biomarkers for Diabetes and Cardiovascular Disease

Yunsheng Ma; Raji Balasubramanian; Sherry L. Pagoto; Kristin L. Schneider; James R. Hébert; Lawrence S. Phillips; Joseph S. Goveas; Annie L. Culver; Barbara C. Olendzki; James Beck; Jordan W. Smoller; Deidre M. Sepavich; Judith K. Ockene; Lisa A. Uebelacker; Martha Zorn; Simin Liu

OBJECTIVES We investigated whether depressive symptoms and antidepressant use are associated with biomarkers for glucose dysregulation and inflammation, body mass index (BMI), and waist circumference. METHODS Postmenopausal women were recruited into the Womens Health Initiative from 1993 to 1998, and data were collected at regular intervals through 2005. We used multiple linear regression models to examine whether depressive symptoms and antidepressant use are associated with BMI, waist circumference, and biomarkers. RESULTS Analysis of data from 71, 809 women who completed all relevant baseline and year 3 assessments showed that both elevated depressive symptoms and antidepressant use were significantly associated with higher BMI and waist circumference. Among 1950 women, elevated depressive symptoms were significantly associated with increased insulin levels and measures of insulin resistance. Analyses of baseline data from 2242 women showed that both elevated depressive symptoms and antidepressant use were associated with higher C-reactive protein levels. CONCLUSIONS Monitoring body habitus and other biomarkers among women with elevated depression symptoms or taking antidepressant medication may be prudent to prevent diabetes and cardiovascular disease.


Pediatrics | 2016

Multilevel Provider-Based Sampling for Recruitment of Pregnant Women and Mother-Newborn Dyads

Thomas J. McLaughlin; Onesky Aupont; Claudia A. Kozinetz; David Hubble; Tiffany A. Moore-Simas; Deborah Winders Davis; Christina H. Park; Ruth A. Brenner; Deidre M. Sepavich; Marianne E. Felice; Chantal Caviness; Tim Downs; Beatrice J. Selwyn; Michele R. Forman

OBJECTIVE: In 2010, the National Children’s Study launched 3 alternative recruitment methods to test possible improvements in efficiency compared with traditional household-based recruitment and participant enrollment. In 2012, a fourth method, provider-based sampling (PBS), tested a probability-based sampling of prenatal provider locations supplemented by a second cohort of neonates born at a convenience sample of maternity hospitals. METHODS: From a sampling frame of 472 prenatal care provider locations and 59 maternity hospitals, 49 provider and 7 hospital locations within or just outside 3 counties participated in study recruitment. During first prenatal care visits or immediately postdelivery at these locations, face-to-face contact was used to screen and recruit eligible women. RESULTS: Of 1450 screened women, 1270 were eligible. Consent rates at prenatal provider locations (62%–74% by county) were similar to those at birth locations (64%–77% by county). During 6 field months, 3 study centers enrolled a total prenatal cohort of 530 women (the majority in the first trimester) and during 2 months enrolled a birth cohort of an additional 320 mother-newborn dyads. As personnel became experienced in the field, the time required to enroll a woman in the prenatal cohort declined from up to 200 hours to 50 to 100 hours per woman recruited. CONCLUSIONS: We demonstrated that PBS was feasible and operationally efficient in recruiting a representative cohort of newborns from 3 diverse US counties. Our findings suggest that PBS is a practical approach to recruit large pregnancy and birth cohorts across the United States.


Men and Masculinities | 2016

Assessing Determinants of Father’s Involvement with His Partner’s Pregnancy and His Child’s Well-being The Father Resources Survey Instrument

Lisa A. Cubbins; Deidre M. Sepavich; Steve Killpack; Carl V. Hill

Father’s involvement in his family typically has beneficial effects on maternal health during pregnancy and on his child’s health and well-being. The strength and pattern of these effects vary, however, and most studies consider only a few factors that contribute to father involvement. In this study, we describe development and pilot testing of the Father Resources Survey Instrument, which consists of twenty-nine questions measuring eleven dimensions and designed to assess psychological, social, and work-related resources associated with father’s involvement in his family. The final pilot test indicates that the Father Resources Instrument may help to understand a father’s involvement in his female partner’s pregnancy and the health and well-being of his child.


American Journal of Epidemiology | 2013

All-Cause, Cardiovascular, and Cancer Mortality Rates in Postmenopausal White, Black, Hispanic, and Asian Women With and Without Diabetes in the United States: The Women's Health Initiative, 1993-2009

Yunsheng Ma; James R. Hébert; Raji Balasubramanian; Nicole M. Wedick; Barbara V. Howard; Milagros C. Rosal; Simin Liu; Chloe E. Bird; Barbara C. Olendzki; Judith K. Ockene; Jean Wactawski-Wende; Lawrence S. Phillips; Michael J. LaMonte; Kristin L. Schneider; Lorena Garcia; Ira S. Ockene; Philip A. Merriam; Deidre M. Sepavich; Rachel H. Mackey; Karen C. Johnson; JoAnn E. Manson


BMC Endocrine Disorders | 2015

Marginal structural models for the estimation of the risk of Diabetes Mellitus in the presence of elevated depressive symptoms and antidepressant medication use in the Women’s Health Initiative observational and clinical trial cohorts

Christine Frisard; Xiangdong Gu; Brian W. Whitcomb; Yunsheng Ma; Penelope S. Pekow; Martha Zorn; Deidre M. Sepavich; Raji Balasubramanian


Archive | 2013

Assessment of Parental Mental Disorders in the National Children’s Study (NCS)

Thomas J. McLaughlin; Kristen M. Roy-Bujnowski; Onesky Aupont; Xin Zhan; Christine M. Foley; Deidre M. Sepavich; Marianne E. Felice; Ronald Kessler


Archive | 2013

A Comparison of Recruitment Strategies for a Long-Term Study at Two Maternal Stages: Effectiveness of Recruitment During Pregnancy vs. After Childbirth

Deidre M. Sepavich; Linda Brenckle; Tiffany A. Moore Simas; Onesky Aupont; Thomas J. McLaughlin; Marianne E. Felice

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Raji Balasubramanian

University of Massachusetts Amherst

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Yunsheng Ma

University of Massachusetts Medical School

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Barbara C. Olendzki

University of Massachusetts Medical School

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Judith K. Ockene

University of Massachusetts Medical School

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Kristin L. Schneider

University of Illinois at Chicago

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James R. Hébert

University of South Carolina

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Annie L. Culver

University of Massachusetts Medical School

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Martha Zorn

University of Massachusetts Amherst

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Marianne E. Felice

University of Massachusetts Medical School

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