Faculty Bibliography

BACKGROUND:Psychological attitudes reflecting expectations about the future (optimism, pessimism) and people (cynical hostility) independently predict incident cardiovascular disease and possibly diabetes, but underlying biologic pathways are incompletely understood. Herein we examined the cross-sectional relationship between optimism, pessimism, and cynicism and biomarkers of metabolic function in the Women's Health Initiative. METHODS:Among 3443 postmenopausal women, biomarkers of metabolic function (fasting insulin [FINS] and glucose) were measured at baseline and used to calculate insulin resistance (homeostasis model assessment of insulin resistance [HOMA-IR]) and pancreatic β-cell activity (homeostasis model assessment of β-cell function [HOMA-B]). Psychological attitudes were assessed by the Life Orientation Test, Revised (full scale, and optimism and pessimism subscales) and the Cook-Medley cynicism subscale. Multivariable linear regression modeled the association of psychological attitudes with biomarker levels, adjusting for sociodemographics, health conditions, and health behaviors. Because obesity promotes insulin resistance and obese individuals tend to report higher levels of pessimism and cynical hostility, an interaction with body mass index (BMI) was explored. RESULTS:In fully adjusted models, only pessimism remained independently associated with higher FINS and insulin resistance (HOMA-IR). Scoring 1 point higher on the pessimism subscale was associated with a 1.2% higher FINS, whereas scoring 1 SD higher was associated with a 2.7% higher FINS (P = 0.03); results were similar for HOMA-IR. An interaction term with BMI was not significant. CONCLUSIONS:In multivariable models, higher dispositional pessimism was associated with worse metabolic function; these findings were not modified by obesity status. Results extend prior work by linking pessimism to an objective biomarker of insulin resistance in elderly women.

OBJECTIVE:In October 2004, the Food and Drug Administration directed pharmaceutical companies to issue a black box warning about the potential link between the use of antidepressants and suicidal ideation among children. This study analyzed long-run trends in antidepressant use among children before and after the black box warning for those with and without severe psychological impairment. METHODS:The analysis used data from the Medical Expenditure Panel Survey for children ages five to 17, covering years 2000-2011 (N=75,819). The study used multivariate probit models to compare the changes in the rate of any antidepressant use in the early (2004-2007) and late (2008-2011) postwarning years with the rate in the prewarning years (2002-2003). Recycled predictions methods were used to estimate yearly predicted probabilities of use. RESULTS:After adjustment for all covariates, there was a .5% statistically significant decline in the probability of using any antidepressants during the early postwarning years (2004-2007) compared with prewarning years. In the long run (2008-2011), however, there was no statistically significant difference. Five years after the black box warning, the adjusted rates of use increased to their prewarning levels (2.29% in 2003 and 2.26% in 2009). The initial impact of the warning differed between the severe and nonsevere populations, with a significant effect on those with nonsevere psychological impairment. CONCLUSIONS:The return to the rates before the black box warning raises concern that the impact of the warning may have dissipated over time. More frequent updates of the warning might be necessary.

Optimism and cynical hostility are associated with health behaviors and health outcomes, including morbidity and mortality. This analysis assesses their association with longitudinal vigorous physical activity (PA) in postmenopausal women of the Women's Health Initiative (WHI). Subjects include 73,485 women nationwide without history of cancer or cardiovascular disease (CVD), and no missing baseline optimism, cynical hostility, or PA data. The Life Orientation Test-Revised Scale measured optimism. A Cook Medley questionnaire subscale measured cynical hostility. Scale scores were divided into quartiles. Vigorous PA three times or more per week was assessed via self-report at study baseline (1994-1998) and through follow-up year 6. Descriptive analysis mapped lifetime trajectories of vigorous PA (recalled at ages 18, 25, 50; prospectively assessed at baseline, and 3 and 6 years later). Hierarchical generalized linear mixed models examined the prospective association between optimism, cynical hostility, and vigorous PA over 6 years. Models adjusted for baseline sociodemographic variables, psychosocial characteristics, and health conditions and behaviors. Vigorous PA rates were highest for most optimistic women, but fell for all women by approximately 60% between age 50 and study baseline. In adjusted models from baseline through year 6, most vs. least optimistic women were 15% more likely to exercise vigorously (p < 0.001). Cynical hostility was not associated with lower odds of longitudinal vigorous PA after adjustment. Results did not differ by race/ethnicity or socioeconomic status. Higher optimism is associated with maintaining vigorous PA over time in post-menopausal women, and may protect women's health over the lifespan.

BACKGROUND:The Food and Drug Administration's 2004 antidepressant warning was followed by decreases in antidepressant prescribing for youth. This was due to declines in all types of depression treatment, not just the intended changes in antidepressant prescribing patterns. Little is known about how these patterns varied by race/ethnicity. METHOD:Data are Medicaid claims from four U.S. states (2002-2009) for youth ages 5-17. Interrupted time series analyses measured changes due to the warning in levels and trends, by race/ethnicity, of three outcomes: antidepressant prescription fills, depression treatment visits, and incident fluoxetine prescription fills. RESULTS:Prewarning, antidepressant fills were increasing across all racial/ethnic groups, fastest for White youth. Postwarning, there was an immediate drop and continued decline in the rate of fills among White youth, more than double the decline in the rate among Black and Latino youth. Prewarning, depression treatment visits were increasing for White and Latino youth. Postwarning, depression treatment stabilized among Latinos, but declined among White youth. Prewarning, incident fluoxetine fills were increasing for all groups. Postwarning, immediate increases and increasing trends of fluoxetine fills were identified for all groups. CONCLUSIONS:Antidepressant prescription fills declined most postwarning for White youth, suggesting that risk information may have diffused less rapidly to prescribers or caregivers of minorities. Decreases in depression treatment visits help to explain the declines in antidepressant prescribing and were largest for White youth. An increase in incident fluoxetine fills, the only medication indicated for pediatric depression at the time, suggests that the warning may have shifted prescribing practices.

OBJECTIVE:This study evaluated the impact of an integrated behavioral health home (BHH) pilot on adults with psychotic and bipolar disorders. METHODS:Quasi-experimental methods were used to compare outcomes before (September 2014-August 2015) and after the intervention (September 2015-August 2016) among ambulatory BHH patients and a control group. Electronic health records were compared between 424 BHH patients (N=369, psychotic disorder; N=55, bipolar disorder) and 1,521 individuals from the same urban, safety-net health system who were not enrolled in the BHH. Groups were weighted by propensity score on the basis of sex, age, race-ethnicity, language, 2010 U.S. Census block group characteristics, Medicare and Medicaid enrollment, and diabetes diagnosis. RESULTS:BHH patients had fewer total psychiatric hospitalizations and fewer total emergency visits compared with the control group, a difference that was predominantly driven by patients with at least one psychiatric hospitalization or ED visit. There were no differences in medical hospitalizations. Although BHH patients were more likely to receive HbA1c screening, there were no differences between the groups in lipid monitoring. Regarding secondary outcomes, there were no significant differences in changes in metabolic monitoring parameters among patients with diabetes. CONCLUSIONS:Participation in a pilot ambulatory BHH program among patients with psychotic and bipolar disorders was associated with significant reductions in ED visits and psychiatric hospitalizations and increased HbA1c monitoring. This evaluation builds on prior research by specifying intervention details and the clinical target population, strengthening the evidence base for care integration to support further program dissemination.

This study assesses individual- and area-level predictors of racial/ethnic disparities in mental health care episodes for adults with psychiatric illness. Multilevel regression models are estimated using data from the Medical Expenditure Panel Surveys linked to area-level data sets. Compared with Whites, Blacks and Latinos live in neighborhoods with higher minority density, lower average education, and greater specialist mental health provider density, all of which predict lesser mental health care initiation. Neighborhood-level variables do not have differential effects on mental health care by race/ethnicity. Racial/ethnic disparities arise because minorities are more likely to live in neighborhoods where treatment initiation is low, rather than because of a differential influence of neighborhood disadvantage on treatment initiation for minorities compared with Whites. Low rates of initiation in neighborhoods with a high density of specialists suggest that interventions to increase mental health care specialists, without a focus on treating racial/ethnic minorities, may not reduce access disparities.

BACKGROUND:Optimism and cynical hostility independently predict morbidity and mortality in Women's Health Initiative (WHI) participants and are associated with current smoking. However, their association with smoking cessation in older women is unknown. PURPOSE/OBJECTIVE:The purpose of this study is to test whether optimism (positive future expectations) or cynical hostility (mistrust of others) predicts smoking cessation in older women. METHODS:Self-reported smoking status was assessed at years 1, 3, and 6 after study entry for WHI baseline smokers who were not missing optimism or cynical hostility scores (n = 10,242). Questionnaires at study entry assessed optimism (Life Orientation Test-Revised) and cynical hostility (Cook-Medley, cynical hostility subscale). Generalized linear mixed models adjusted for sociodemographics, lifestyle factors, and medical and psychosocial characteristics including depressive symptoms. RESULTS:After full covariate adjustment, optimism was not related to smoking cessation. Each 1-point increase in baseline cynical hostility score was associated with 5% lower odds of cessation over 6 years (OR = 0.95, CI = 0.92-0.98, p = 0.0017). CONCLUSIONS:In aging postmenopausal women, greater cynical hostility predicts lower smoking cessation over time. Future studies should examine whether individuals with this trait may benefit from more intensive cessation resources or whether attempting to mitigate cynical hostility itself may aid smoking cessation.

OBJECTIVE:This study compared trends in racial-ethnic disparities in mental health care access among whites, blacks, Hispanics, and Asians by using the Institute of Medicine definition of disparities as all differences except those due to clinical appropriateness, clinical need, and patient preferences. METHODS:Racial-ethnic disparities in mental health care access were examined by using data from a nationally representative sample of 214,597 adults from the 2004-2012 Medical Expenditure Panel Surveys. The main outcome measures included three mental health care access measures (use of any mental health care, any outpatient care, and any psychotropic medication in the past year). RESULTS:Significant disparities were found in 2004-2005 and in 2011-2012 for all three racial-ethnic minority groups compared with whites in all three measures of access. Between 2004 and 2012, black-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.2% to 10.8% and from 7.6% to 10.0%. Similarly, Hispanic-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.4% to 10.9% and 7.3% to 10.3%. CONCLUSIONS:No reductions in racial-ethnic disparities in access to mental health care were identified between 2004 and 2012. For blacks and Hispanics, disparities were exacerbated over this period. Clinical interventions that improve identification of symptoms of mental illness, expansion of health insurance, and other policy interventions that remove financial barriers to access may help to reduce these disparities.

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.