Carmen C. Cuthbertson
University of North Carolina at Chapel Hill
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Publication
Featured researches published by Carmen C. Cuthbertson.
Annals of Epidemiology | 2014
Quynh C. Nguyen; Eric A. Whitsel; Joyce Tabor; Carmen C. Cuthbertson; Mark H. Wener; Alan J. Potter; Carolyn Tucker Halpern; Ley A. Killeya-Jones; Jon M. Hussey; Chirayath Suchindran; Kathleen Mullan Harris
PURPOSE We investigated understudied biomarker-based diabetes among young US adults, traditionally characterized by low cardiovascular disease risk. METHODS We examined 15,701 participants aged 24 to 32 years at Wave IV of the National Longitudinal Study of Adolescent Health (Add Health, 2008). The study used innovative and relatively noninvasive methods to collect capillary whole blood via finger prick at in-home examinations in all 50 states. RESULTS Assays of dried blood spots produced reliable and accurate values of HbA1c. Reliability was lower for fasting glucose and lowest for random glucose. Mean (SD) HbA1c was 5.6% (0.8%). More than a quarter (27.4%) had HbA1c-defined prediabetes. HbA1c was highest in the black, non-Hispanic race/ethnic group, inversely associated with education, and more common among the overweight/obese and physically inactive. The prevalence of diabetes defined by previous diagnosis or use of antidiabetic medication was 2.9%. Further incorporating HbA1c and glucose values, the prevalence increased to 6.8%, and among these participants, 38.9% had a previous diagnosis of diabetes (i.e., aware). Among those aware, 37.6% were treated and 64.0% were controlled (i.e., HbA1c < 7%). CONCLUSIONS A contemporary cohort of young adults faces a historically high risk of diabetes but there is ample opportunity for early detection and intervention.
Pharmacoepidemiology and Drug Safety | 2017
Ricky Camplain; Anna Kucharska-Newton; Carmen C. Cuthbertson; Jacqueline D. Wright; Alvaro Alonso; Gerardo Heiss
The aim of this study was to quantify the influence of the length of the look‐back period on misclassification of heart failure (HF) incidence in Medicare claims available for participants of a population‐based cohort.
Frontiers in Public Health | 2018
Dana L. Carthron; Ashley J. Mph Phillips; Carmen C. Cuthbertson; Katrina R. Ellis; Mary Altpeter; Leigh F. Callahan; Stephanie Grace Mph Bahorski; Christine Rini
Increases in physical activity can reduce joint pain among people with osteoarthritis (PWOA) who are insufficiently physically active. Because evidence suggests that social support from intimate partners may help PWOA become more active, researchers have been interested in recruiting couples to studies of physical activity interventions; however, little guidance exists describing efficient and effective strategies for engaging couples in research. We describe methods used to recruit couples and contrast methods in terms of the proportion of individuals enrolled, sample demographic composition, retention, and resources. We used four recruitment methods to enroll couples in a longitudinal study of PWOA: (1) visiting community sites, (2) sending university-wide emails, (3) contacting patients identified through electronic medical records (EMR), and (4) partnering with a county-based osteoarthritis (OA) research cohort. We found that these methods differed in their challenges and contribution to enrollment goals but demonstrated similar levels of retention. We contacted 747 PWOA; 56% were screened for eligibility and 23% enrolled in the study. The largest proportion of participants recruited were from the email method (35.1%), followed by the community (26%), EMR (22.0%), and OA cohort (19.6%). Couples enrolled through the different methods differed by age, employment, education, and household income. Across the methods for both PWOA and partners, over 80% of participants were non-Hispanic white, about 11% were non-Hispanic black, and 6–8% identified as another race. Over 12 months of follow-up, 31 (17.9%) PWOA and 36 (20.8%) partners were lost to follow-up. Using four distinct recruitment methods allowed us to meet recruitment goals and provided a broader, more diverse population compared to using one method. We recommend that researchers consider several recruitment methods to meet enrollment goals, to ensure a diverse sample, and to match available resources. The lessons learned from this research fill a critical gap in the understanding of how to overcome barriers to recruiting and retaining couples in behavioral research.
Epidemiology | 2018
Carmen C. Cuthbertson; Anna Kucharska-Newton; Keturah R. Faurot; Til Stürmer; Michele Jonsson Funk; Priya Palta; B. Gwen Windham; Sydney Thai; Jennifer L. Lund
Annals of Epidemiology | 2018
Carmen C. Cuthbertson; Gerardo Heiss; Jacqueline D. Wright; Ricky Camplain; Randi E. Foraker; Kunihiro Matsushita; Nicole Puccinelli-Ortega; Amil M. Shah; Anna Kucharska-Newton
Innovation in Aging | 2017
Carmen C. Cuthbertson; Jennifer L. Lund; Til Stürmer; Keturah R. Faurot; K.J. Bandeen-Roche; M. Jonsson Funk; Priya Palta; Anna Kucharska-Newton
Circulation | 2015
Anna Kucharska-Newton; Lloyd E. Chambless; Ricky Camplain; Carmen C. Cuthbertson; Patricia P. Chang; Sunil K. Agarwal; Lisa M. Wruck; Norrina B. Allen; Eyal Shahar; Alain G. Bertoni; Gerardo Heiss
Circulation | 2015
Ricky Camplain; Anna Kucharska-Newton; Lloyd E. Chambless; Jacqueline D. Wright; Kenneth R. Butler; Carmen C. Cuthbertson; Gerardo Heiss
Circulation | 2015
Carmen C. Cuthbertson; Anna Kucharska-Newton; Ricky Camplain; Randi E. Foraker; Lisa M. Wruck; Aaron R. Folsom; Nicole Puccinelli-Ortega; Kunihiro Matsushita; Gerardo Heiss
Circulation | 2014
Carmen C. Cuthbertson; Chirayath Suchindran; Kathleen Mullan Harris; Jon M. Hussey; Carolyn Tucker Halpern; Joyce Tabor; Redford B. Williams; Ley A. Killeya-Jones; Eric A. Whitsel