Browsing by Author "Hawkins, Misty A. W."

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    Association between depressive symptom clusters and food attentional bias
    (Elsevier, 2018-12) Hawkins, Misty A. W.; Vrany, Elizabeth A.; Cyders, Melissa A.; Ciciolla, Lucia; Wells, Tony T.; Stewart, Jesse C.; Psychology, School of Science
    Background The mechanisms underlying the depression-obesity relationship are unclear. Food attentional bias (FAB) represents one candidate mechanism that has not been examined. We evaluated the hypothesis that greater depressive symptoms are associated with increased FAB. Method Participants were 89 normal weight or overweight adults (mean age = 21.2 ± 4.0 years, 53% female, 33% non-white, mean body mass index in kg/m2 = 21.9 ± 1.8 for normal weight; 27.2 ± 1.5 for overweight). Total, somatic, and cognitive-affective depressive symptom scores were computed from the Patient Health Questionnaire-8 (PHQ-8). FAB scores were calculated using reaction times (RT) and eye-tracking (ET) direction and duration measures for a food visual probe task. Age, gender, race/ethnicity, and body fat percent were covariates. Results Only PHQ-8 somatic symptoms were positively associated with RT-measured FAB (β = 0.23, p = .04). The relationship between somatic symptoms and ET direction (β = 0.18, p = .17) and duration (β = 0.23, p = .08) FAB indices were of similar magnitude but were not significant. Somatic symptoms accounted for 5% of the variance in RT-measured FAB. PHQ-8 total and cognitive-affective symptoms were unrelated to all FAB indices (ps ≥ 0.09). Conclusions Only greater somatic symptoms of depression were linked to food attentional bias as measured using reaction time. Well-powered prospective studies should examine whether this bias replicates, particularly for eye-tracking measures, and whether it partially mediates the depression-to-obesity relationship.
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    Depression and Anxiety Screens as Predictors of 8-Year Incidence of Myocardial Infarction and Stroke in Primary Care Patients
    (American Psychosomatic Society, 2016-06) Stewart, Jesse C.; Hawkins, Misty A. W.; Khambaty, Tasneem; Perkins, Anthony J.; Callahan, Christopher M.; Psychology, School of Science
    Because depression and anxiety are typically studied in isolation, our purpose was to examine the relative importance of these overlapping emotional factors in predicting incident cardiovascular disease (CVD). Methods We examined depression and anxiety screens, and their individual items, as predictors of incident hard CVD events, myocardial infarction, and stroke over eight years in a diverse sample of 2,041 older primary care patients initially free of CVD. At baseline, participants completed self-report depression and anxiety screens. Data regarding CVD events were obtained from an electronic medical record system and the Centers for Medicare and Medicaid Services analytic files. Results During follow-up, 683 (33%) experienced a CVD event. Cox proportional hazards models – adjusted for demographic and CVD risk factors – revealed that a positive anxiety screen, but not a positive depression screen, was associated with an increased risk of a hard CVD event in separate models (Years 0–3: Anxiety HR=1.54, p<.001; Years 3+: Anxiety HR=0.99, p=.93; Depression HR=1.10, p=.41), as well as when entered into the same model (Years 0–3: Anxiety HR=1.53, p<.001; Years 3+: Anxiety HR=0.99, p=.99; Depression HR=1.03, p=.82). Analyses examining individual items and secondary outcomes showed that the anxiety-CVD association was largely driven by the feeling anxious item and the myocardial infarction outcome. Conclusions Anxiety, especially feeling anxious, is a unique risk factor for CVD events in older adults, independent of conventional risk factors and depression. Anxiety deserves increased attention as a potential factor relevant to CVD risk stratification and a potential target of CVD primary prevention efforts.
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    Depressive symptom clusters as predictors of incident coronary artery disease: a 15-year prospective study
    (Ovid Technologies (Wolters Kluwer) - Lippincott Williams & Wilkins, 2014-01) Hawkins, Misty A. W.; Callahan, Christopher M.; Stump, Timothy E.; Stewart, Jesse C.; Department of Psychology, School of Science
    OBJECTIVE: Because it is not known whether particular clusters of depressive symptoms are associated with a greater risk of adverse cardiac outcomes, we compared the utility of four clusters in predicting incident coronary artery disease (CAD) events during a 15-year period in a large cohort of primary care patients 60 years and older. METHODS: Participants were 2537 primary care patients 60 years or older who were screened for depression between 1991 and 1993 and had no existing CAD diagnosis. Depressive symptoms cluster scores (depressed affect, somatic symptoms, interpersonal distress, and positive affect) were computed from responses on the Center for Epidemiologic Studies Depression Scale administered at baseline. CAD events, defined as the occurrence of a nonfatal acute myocardial infarction or CAD death during the follow-up period, were identified using electronic medical record and National Death Index data. RESULTS: There were 678 CAD events. In separate fully adjusted Cox proportional hazard models (controlling for demographics and cardiovascular risk factors), the depressed affect (hazard ratio [HR] = 1.11, 95% confidence interval [CI] = 1.04-1.20), somatic (HR = 1.17, 95% CI = 1.08-1.26), and positive affect (HR = 0.88, 95% CI = 0.82-0.95) clusters each predicted CAD events. When the depressive symptom clusters were entered simultaneously into the fully adjusted model, however, only the somatic cluster remained predictive of CAD events (HR = 1.13, 95% CI = 1.03-1.23). CONCLUSIONS: Our findings suggest that the longitudinal relationship between overall depressive symptom severity and incident CAD events may be driven primarily by the somatic cluster.
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    Depressive Symptoms and Weight Loss Behaviors in U.S. Adults
    (Elsevier, 2018) Vrany, Elizabeth A.; Hawkins, Misty A. W.; Wu, Wei; Stewart, Jesse C.; Psychology, School of Science
    Objective We sought to determine whether depressive symptoms are associated with attempting to lose weight and engaging in weight loss behaviors in a large, diverse sample of adults representative of the U.S. population. Methods Respondents were 23,106 adults, free of cardiovascular disease and diabetes, who participated in the 2005–2014 years of the National Health and Nutrition Examination Survey (NHANES). Depressive symptoms were measured using the Patient Health Questionnaire-9 (PHQ-9), and weight loss variables were obtained from a Weight History Questionnaire. Results PHQ-9 total was not associated with attempting to lose weight in the past year (OR = 1.03, 95%CI = 1.00–1.06, p = 0.074; n = 23,106). Among respondents who attempted to lose weight (n = 9582), PHQ-9 total was associated with a lower odds of exercising (OR = 0.84, 95%CI = 0.79–0.89, p < 0.001) and a greater odds of skipping meals (OR = 1.31, 95%CI = 1.22–1.41, p < 0.001), eating diet foods/products (OR = 1.16, 95%CI = 1.08–1.24, p < 0.001), eating less food (OR = 1.09, 95%CI = 1.04–1.15, p < 0.001), taking non-prescription supplements (OR = 1.31, 95%CI = 1.23–1.41, p < 0.001), taking prescription diet pills (OR = 1.28, 95%CI = 1.10–1.49, p = 0.001), and taking laxatives/vomiting (OR = 1.55, 95%CI = 1.28–1.88, p < 0.001). Conclusions Although depressive symptoms were not associated with attempting to lose weight in the past year, adults who attempted to lose weight tended to employ potentially ineffective/unhealthy weight loss behaviors and avoid effective behaviors. This pattern of behaviors may be another mechanism that explains the excess risk of obesity in depressed adults and may be a modifiable target for future interventions. Given the cross-sectional nature of this study, reverse causality is a possibility. Future studies should investigate the prospective associations between depressive symptoms and weight loss behaviors.
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    PONDWATER, BIOFILMS, AND CYSTIC FIBROSIS: INTRODUCING CUTTING EDGE RESEARCH INTO THE HIGH SCHOOL CLASSROOM
    (Office of the Vice Chancellor for Research, 2011-04-08) Redelman, Carly V.; Hawkins, Misty A. W.; Anderson, Gregory G.; Marrs, Kathleen A.