Alcohol consumption and use of health care services in people with severe mental illness and stressful childhood experiences

People who suffer from severe mental illness often present with histories of abuse during childhood. Alcohol use disorders is a common co-morbidity of survivors of childhood abuse and neglect. This study analyzes the effects of stressful childhood experiences, a proxy for trauma, on the frequency of alcohol consumption and the utilization of health care services in a population of people with severe mental illness. There were 111 men (mean age: 35 years) and 72 women (mean age: 40.0 years) with severe mental illness that were recruited from psychiatric outpatient clinics in New York City. The analysis focused on lifetime prevalence of stressful childhood experiences, alcohol consumption, and utilization of health care services over time. The longitudinal data were analyzed over 12 months with a level-2 model (multilevel modeling). Out of the participants, 41.5% reported a history of more than four types of abusive experiences. There were 33.3% that had a DSM-IV diagnosis of alcohol abuse and 27.3% qualified for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnosis of alcohol dependence throughout their lives. Stressful childhood experiences predicted an increased frequency of alcohol consumption over time. People with histories of childhood abuse had more often been to outpatient clinics and 12-step programs, but at the same time showed lower frequency rates of psychiatrist visits and visits to outpatient clinics. Childhood abuse is prevalent in people with severe mental illness and is related to an increased alcohol consumption. Despite an increased need of health care services, affected persons might encounter more barriers to access them.

Effects of assisted outpatient treatment and health care services on psychotic symptoms

RATIONALE

An ongoing debate concerns acceptability, benefits, and shortcomings of coercive treatment such as assisted outpatient treatment (AOT). The hypothesis that involuntary commitment to outpatient treatment may lead to a better clinical outcome for a subgroup of persons with severe mental illness (SMI) is controversial. Nonetheless, positive effects of AOT may be mediated by an increased availability of healthcare resources or increased service use.

OBJECTIVE

The purpose of the present study is to evaluate the course of delusions, hallucinations, and negative symptoms among patients with SMI receiving AOT compared to patients receiving non-compulsory treatment (NCT). Moreover, we assessed if the effects of AOT on psychotic symptoms were mediated by increased healthcare service use.

METHODS

This study used a quasi-experimental design to examine the effect of AOT and the use of healthcare services on psychotic symptoms. In total, 76 (41.3%) participants with SMI received AOT, and 108 (58.7%) received NCT. The participants were interviewed at baseline every 3 months up to 1 year. Propensity score matching was used to control for group differences.

RESULTS

In the basic model, AOT was associated with lower severity of psychotic symptoms over all follow-up points. In the model including healthcare service use, the frequency of case manager visits predicted a reduction in severity of all psychotic symptoms. The frequency of visits to the outpatient clinics, frequency of emergency room, and psychiatrist visits were independently associated with lower levels of delusional symptoms. Psychiatrist visits were related to a decrease in negative symptoms.

CONCLUSION

Results indicate that the treatment benefits of AOT are enhanced with the increased use of mental healthcare services, suggesting that the positive effect of AOT on psychotic symptoms is related to the availability of mental healthcare service use. Coercive outpatient treatment might be more effective through greater use of intensive services.

Sleep Duration and Diabetes Risk: Population Trends and Potential Mechanisms

Sleep is important for regulating many physiologic functions that relate to metabolism. Because of this, there is substantial evidence to suggest that sleep habits and sleep disorders are related to diabetes risk. In specific, insufficient sleep duration and/or sleep restriction in the laboratory, poor sleep quality, and sleep disorders such as insomnia and sleep apnea have all been associated with diabetes risk. This research spans epidemiologic and laboratory studies. Both physiologic mechanisms such as insulin resistance, decreased leptin, and increased ghrelin and inflammation and behavioral mechanisms such as increased food intake, impaired decision-making, and increased likelihood of other behavioral risk factors such as smoking, sedentary behavior, and alcohol use predispose to both diabetes and obesity, which itself is an important diabetes risk factor. This review describes the evidence linking sleep and diabetes risk at the population and laboratory levels.

Effect of Expectation of Care on Adherence to Antihypertensive Medications Among Hypertensive Blacks: Analysis of the Counseling African Americans to Control Hypertension (CAATCH) Trial

Novel ideas are needed to increase adherence to antihypertensive medication. The current study used data from the Counseling African Americans to Control Hypertension (CAATCH) study, a sample of 442 hypertensive African Americans, to investigate the mediating effects of expectation of hypertension care, social support, hypertension knowledge, and medication adherence, adjusting for age, sex, number of medications, diabetes, education, income, employment, insurance status, and intervention. Sixty-six percent of patients had an income of $20,000 or less and 56% had a high school education or less, with a mean age of 57 years. Greater expectation of care was associated with greater medication adherence (P=.007), and greater social support was also associated with greater medication adherence (P=.046). Analysis also showed that expectation of care mediated the relationship between hypertension knowledge and medication adherence (P<.05). Expectation of care and social support are important factors for developing interventions to increase medication adherence among blacks.

Racial Disparity in Stroke Awareness in the US: An Analysis of the 2014 National Health Interview Survey

BACKGROUND/AIMS

Stroke is a leading cause of premature death and disability, and increasing the proportion of individuals who are aware of stroke symptoms is a target objective of the Healthy people 2020 project.

METHODS

We used data from the 2014 Supplement of the National Health Interview Survey (NHIS) to assess the prevalence of stroke symptom knowledge and awareness. We also tested, using a logistic regression model, the hypothesis that individuals who have knowledge of all 5 stroke symptoms will be have a greater likelihood to activate Emergency Medical Services (EMS) if a stroke is suspected.

RESULTS

From the 36,697 participants completing the survey 51% were female. In the entire sample, the age-adjusted awareness rate of stroke symptoms/calling 911 was 66.1%. Knowledge of the 5 stroke symptoms plus importance of calling 911 when a stroke is suspected was higher for females, Whites, and individuals with health insurance. Stroke awareness was lowest for Hispanics, Blacks, and survey participants from Western US region.

CONCLUSION

The findings allude to continuing differences in the knowledge of stroke symptoms across race/ethnic and other demographic groups. Further research will confirm the importance of increased health literacy for Stroke management and prevention in minority communities.

Psychological Distress and Hypertension: Results from the National Health Interview Survey for 2004-2013

BACKGROUND/AIMS

Psychological conditions are increasingly linked with cardiovascular disorders. We aimed to examine the association between psychological distress and hypertension.

METHODS

We used data from the National Health Interview Survey for 2004-2013. Hypertension was self-reported and the 6-item Kessler Psychological Distress Scale was used to assess psychological distress (a score ≥13 indicated distress). We used a logistic regression model to test the assumption that hypertension was associated with psychological distress.

RESULTS

Among the study participants completing the survey (n = 288,784), 51% were female; the overall mean age (±SEM) was 35.3 ± 0.02 years and the mean body mass index was 27.5 ± 0.01. In the entire sample, the prevalence of psychological distress was 3.2%. The adjusted odds of reporting hypertension in psychologically distressed individuals was 1.53 (95% CI = 1.31-1.80, p = 0.01).

CONCLUSION

The findings suggest that psychological distress is associated with higher odds of hypertension after adjusting for other risk factors for high blood pressure. Further studies are needed to confirm these findings and to elucidate the mechanisms by which stress increases hypertension risk.

A community-oriented framework to increase screening and treatment of obstructive sleep apnea among blacks

OBJECTIVE

Obstructive sleep apnea (OSA) is a leading sleep disorder that is disproportionately more prevalent in minority populations and is a major risk factor for cardiovascular disease (CVD) morbidity and mortality. OSA is associated with many chronic conditions including hypertension, diabetes, and obesity, all of which are disproportionately more prevalent among blacks (ie, peoples of African American, Caribbean, or African descent).

METHODS

This article reviews studies conducted in the United States (US) that investigated sleep screenings and adherence to treatment for OSA among blacks. In addition, guidelines are provided for implementing a practical framework to increase OSA screening and management among blacks.

RESULTS

Several studies have documented racial/ethnic disparities in adherence to treatment for OSA. However, despite its public health significance, there is a paucity of studies addressing these disparities. Further, there is a lack of health programs and policies to increase screening and treatment of OSA among blacks and other minority populations. A practical framework to increase the number of blacks who are screened for OSA and treated appropriately is warranted. Such a framework is timely and major importance, as early identification of OSA in this high-risk population could potentially lead to early treatment and prevention of CVD, thereby reducing racial and ethnic disparities in sleep-related CVD morbidity and mortality.

Abstract TP425: Post-stroke Blood Pressure Trajectory and Mortality Risk: Analysis of Racial/Ethnic Differences in the New York City Health and Hospitals Corporation

Background: The racial/ethnic differences in post-stroke blood pressure (BP) trajectory and mortality risk are not fully understood. The current paper investigated differences in average systolic BP (SBP) during the 6 months following stroke and effects of average post-stroke BP on mortality risk among Blacks and Hispanics.

Hypothesis: Greater post-stroke BP levels will increase risk of mortality

Methods: We examined BP measurements in 6,016 stroke survivors within the New York City Health and Hospitals Corporation (NYC HHC) during the 6 months following stroke. Based on the average of all SBP measurements in this period, patients were classified into three groups: (1) SBP =140 mm Hg and =150 mm Hg). We used inverse probability weighting (IPW) to control for group differences in demographic factors, comorbidity, and anti-hypertensive medication use. We examined how 6 month SBP average related to mortality following stroke using Cox regression analysis. The mean duration of follow up after stroke was 2.6±1.5 years.

Results: The mean age was 57.9±13.0 years, 57.4% of patients were female, 49.1% were Black and 37.3% were Hispanic. Blacks were more likely than Hispanics to have an average post-stroke SBP >=150mm Hg (27% versus 17%). Group 1 (SBP <140) and Group 3 (SBP>=150) had higher risks of mortality (Group 1 HR=1.26, 95%CI=1.13-1.41; Group 3 HR=1.29, 95%CI=1.13-1.48) when compared to Group 2 (SBP 140-150). When controlling for ethnicity, these differences are no longer significant. In stratified analyses, the increased hazard in Group 1 was maintained in the sub-sample of Blacks (HR=1.47, 95%CI=1.25-1.72) but not in Hispanics (HR=0.95, 95%CI=0.79-1.15). The difference between Group 2 and Group 3 was not significant in either Black or Hispanic sub-samples.

Conclusion: Our findings demonstrate that having a post-stroke SBP below 140 mm Hg or above 150 mm Hg significantly increased individuals’ mortality risk, adjusting for demographic factors, comorbidity, number of BP readings, and location of healthcare. Post-stroke BP trajectory differed between Blacks and Hispanics, and had different effects on mortality. These findings have important implications for post-stroke hypertension care.

Abstract TP188: Black-White Differences in Susceptibility to Stroke Secondary to Abnormal Sleep Duration

Introduction: A strong predictor of stroke is abnormal sleep duration with both short and long sleep associated with increased stroke risk.

Hypothesis: We tested the hypothesis that the stroke-sleep association differs based on race and age.

Methods: Using a hypertensive subset from the NHIS dataset (2004-2013), we assessed the association between stroke prevalence and self-reported sleep duration, stratifying for race and age. Diagnosis of hypertension and stroke was based on self-report. Sleep duration was also self-reported and categorized as short (6 or fewer hours), normal/referent (7-8 h) or long (9 or more hours per day). Race was self-reported and categorized as White or Black. Age at screening was grouped into categories of 18-34, 45-64, and those 65 years and older.

Results: Of the 403, 621 patients in the NHIS dataset (2004-2013), 50.5 % (n=203794) had a diagnosis of hypertension. The average age of the cohort was 58.1 years (95% CI=57.8-58.4), 50.2% female; 15.4 % of the cohort was Black. The prevalence of abnormally short and long sleep duration was 31.3 % and 11%, respectively. The age-standardized prevalence of stroke amongst the hypertensive population for normal, short and long sleep duration was 3.5%, 4.9%, and 7.6%, respectively. Both short and long sleep duration were significant predictors of stroke (1.17; 95% confidence interval (CI) 1.06 - 1.31 and 2.51; 95% CI 2.44-2.58, respectively). An interaction term added to the model suggested that race and age modified the relationship between sleep duration and stroke (p=0.01). Long sleep was a significant predictor of stroke in all age groups, regardless of race. Short sleep was not a significant predictor of stroke in Whites. Short sleep predicted stroke in the youngest age group of Blacks (1.95; 95% CI 1.01 - 3.74). Conversely, short sleep duration was associated with a lower risk of stroke in the oldest age group of Blacks (0.78; 95% CI 0.58- 1.05).

Conclusions: Risk of stroke is predicted by abnormal sleep duration. The novel finding is that in this hypertensive cohort, the association between stroke and abnormal sleep duration differs by race and age.

Abstract TMP85: The Protective Roles of Sleep Duration and Physical Activity on Stroke Risk: Analysis of the 2004-2013 National Health Interview Survey using Machine Learning

Introduction: Health behavior profiles to reduce stroke risk are limited methodologically and hard to apply at the population level. Big data and machine learning was used to quantify dynamic omnidirectional interactions between physical activity, sleep, and stroke risk in the context of multiple socio-demographic, clinical, behavioral, and psychosocial factors.

Hypothesis: Average sleep duration and moderate-vigorous physical activity will reduce stroke risk.

Method: Analysis was based on the 2004-2013 National Health Interview Survey (N=288,888). We employed a machine-learning Bayesian Belief Network (BBN) to model the probabilistic relationships (independent and additive) of sleep duration and physical activity to stroke risk. Factors considered included demographic, behavioral, health/medical, and psychosocial as well as sleep duration (short, average, and long), and physical activity (leisurely walking/bicycling, slow swimming/dancing, and simple gardening activities).

Results: Of the sample, 48.1% were ≤45 years; 77.4% were White; 15.9%, Black/African American; and 45.1% reported less than $35K annually. Overall, the model had a precision index of 95.84%. Average sleepers (7-8hours) were 25% (2.3% to 3%) less likely to experience a stroke. Respectively, long sleepers (>8hours) were 146% (3% to 7.5%) and short sleepers (<7 hours) 22% (3%-3.74%) more likely to report a stroke. A model-based adaptive method evidenced that the combined effect of health status, hypertension, heart condition, income, and alcohol consumption increased the likelihood of stroke from 3% to 90%. Healthy sleep (7-8 hours) and vigorous leisurely activity (30-60 minutes) three to six times per week significantly decreased stroke risk. Using the observational inference technique, we developed idiosyncratic profiles of protective behaviors (i.e. minutes and frequency of moderate or vigorous exercise per week and short, average or long sleep) that reduced stroke risk.

Conclusion: Utilization of BBN analysis is important, as it provides a more dynamic risk stratification system. Healthy sleep and exercise routines reduced stroke risk, based on systematic iterations.

Abstract WP171: Long Sleep is a Stronger Predictor of Stroke Than Short Sleep: Comparative Analysis of Multiple Linear Regression Model and Bayesian Belief Network Model

Background: Short (<6hrs) and long (>8 hrs) sleep durations are linked to stroke and cardiovascular disease. However, results have relied primarily on regression analysis, which may not be optimal to model associations between sleep and medical outcomes. Big-data and machine learning analyses provide unique opportunities to quantify dynamic interactions between sleep and medical outcomes, adjusting for multiple risk factors.

Method: The current study utilized two types of analyses: logistic regression and Bayesian Belief Network, a form of machine learning analysis, to assess sleep-related stroke risk. We used data from the 2004-2013 National Health Interview Survey, yielding 288,888 cases, to investigate how short (<7hrs.) and long (>8hrs.) sleep durations impact stroke risk. In both analyses, we assessed the contribution of 34 demographic, medical, behavioral, and psychosocial factors. We used SPSS 20 to conduct regression analyses and BayesiaLab’s Tree Augmented Naïve Bayes learning algorithm for complex system analysis. We compared results of both analytic models to determine their ecological and clinical utility.

Results: Forty-eight percent of volunteers were ≤45 yrs.; 77.40% were White; 15.96%, Black/African American; and 45.1% made < $35K annually; 29.55% reported short sleep and 8.9%, long sleep; 61.55% were average sleepers (7-8hrs.). Adjusted regression models indicated that relationships between short sleep and stroke were not significant (OR=.97, 95% CI=0.92-1.02, p =.21); however, long sleep was associated with stroke (OR=1.43, 95% CI= 1.32-1.52, p <.001). Results from Bayesian analysis indicated both short and long sleep were associated with stroke, but that long sleep doubled stroke risk (7.48%) relative to short sleep (3.74%). Regression model had a R 2 of 0.24 for short sleep and long sleep, while the R 2 for Bayesia was 0.73.

Conclusion: Bayesian Belief Network analysis is superior to regression modeling because it provides ecologically and clinically valid findings. Although both short and long sleep durations are associated with stroke risk, long sleep seems to be a stronger predictor.