Lela R. McKnight-Eily

Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis

CONTEXT To improve the quality of depression management, collaborative care models have been developed from the Chronic Care Model over the past 20 years. Collaborative care is a multicomponent, healthcare system-level intervention that uses case managers to link primary care providers, patients, and mental health specialists. In addition to case management support, primary care providers receive consultation and decision support from mental health specialists (i.e., psychiatrists and psychologists). This collaboration is designed to (1) improve routine screening and diagnosis of depressive disorders; (2) increase provider use of evidence-based protocols for the proactive management of diagnosed depressive disorders; and (3) improve clinical and community support for active client/patient engagement in treatment goal-setting and self-management. EVIDENCE ACQUISITION A team of subject matter experts in mental health, representing various agencies and institutions, conceptualized and conducted a systematic review and meta-analysis on collaborative care for improving the management of depressive disorders. This team worked under the guidance of the Community Preventive Services Task Force, a nonfederal, independent, volunteer body of public health and prevention experts. Community Guide systematic review methods were used to identify, evaluate, and analyze available evidence. EVIDENCE SYNTHESIS An earlier systematic review with 37 RCTs of collaborative care studies published through 2004 found evidence of effectiveness of these models in improving depression outcomes. An additional 32 studies of collaborative care models conducted between 2004 and 2009 were found for this current review and analyzed. The results from the meta-analyses suggest robust evidence of effectiveness of collaborative care in improving depression symptoms (standardized mean difference [SMD]=0.34); adherence to treatment (OR=2.22); response to treatment (OR=1.78); remission of symptoms (OR=1.74); recovery from symptoms (OR=1.75); quality of life/functional status (SMD=0.12); and satisfaction with care (SMD=0.39) for patients diagnosed with depression (all effect estimates were significant). CONCLUSIONS Collaborative care models are effective in achieving clinically meaningful improvements in depression outcomes and public health benefits in a wide range of populations, settings, and organizations. Collaborative care interventions provide a supportive network of professionals and peers for patients with depression, especially at the primary care level.

Relationships between hours of sleep and health-risk behaviors in US adolescent students

OBJECTIVE To examine associations between insufficient sleep (<8h on average school nights) and health-risk behaviors. METHODS 2007 national Youth Risk Behavior Survey data of U.S. high school students (n=12,154) were analyzed. Associations were examined on weighted data using multivariate logistic regression. RESULTS Insufficient sleep on an average school night was reported by 68.9% of students. Insufficient sleep was associated with higher odds of current use of cigarettes (age-adjusted odds ratio [AOR], 1.67; 95% confidence interval [CI], 1.45-1.93), marijuana (AOR, 1.52; 95% CI, 1.31-1.76), and alcohol (AOR, 1.64; 95% CI, 1.46-1.84); current sexual activity (AOR, 1.41; 95% CI, 1.25-1.59); seriously considered attempting suicide (AOR, 1.86; 95% CI, 1.60-2.16); feeling sad or hopeless (AOR, 1.62; 95% CI, 1.43-1.84); physical fighting (AOR, 1.40; 95% CI, 1.24-1.60), not being physically active at least 60min ≥ 5days in the past 7days (AOR, 1.16; 95% CI, 1.04-1.29), using the computer ≥3h/day (AOR, 1.58; 95% CI, 1.38-1.80), and drinking soda/pop > 1time/day (AOR, 1.14; 95% CI, 1.03-1.28). CONCLUSION Two-thirds of adolescent students reported insufficient sleep, which was associated with many health-risk behaviors. Greater awareness of the impact of sleep insufficiency is vital.

Smoking Characteristics of Adults With Selected Lifetime Mental Illnesses: Results From the 2007 National Health Interview Survey

OBJECTIVES We estimated smoking prevalence, frequency, intensity, and cessation attempts among US adults with selected diagnosed lifetime mental illnesses. METHODS We used data from the 2007 National Health Interview Survey on 23 393 noninstitutionalized US adults to obtain age-adjusted estimates of smoking prevalence, frequency, intensity, and cessation attempts for adults screened as having serious psychological distress and persons self-reporting bipolar disorder, schizophrenia, attention deficit disorder or hyperactivity, dementia, or phobias or fears. RESULTS The age-adjusted smoking prevalence of adults with mental illness or serious psychological distress ranged from 34.3% (phobias or fears) to 59.1% (schizophrenia) compared with 18.3% of adults with no such illness. Smoking prevalence increased with the number of comorbid mental illnesses. Cessation attempts among persons with diagnosed mental illness or serious psychological distress were comparable to attempts among adults without mental illnesses or distress; however, lower quit ratios were observed among adults with these diagnoses, indicating lower success in quitting. CONCLUSIONS The prevalence of current smoking was higher among persons with mental illnesses than among adults without mental illnesses. Our findings stress the need for prevention and cessation efforts targeting adults with mental illnesses.

Prevalence of insufficient, borderline, and optimal hours of sleep among high school students - United States, 2007.

We describe the prevalence of insufficient, borderline, and optimal sleep hours among U.S. high school students on an average school night. Most students (68.9%) reported insufficient sleep, whereas few (7.6%) reported optimal sleep. The prevalence of insufficient sleep was highest among female and black students, and students in grades 11 and 12.

Association between perceived insufficient sleep, frequent mental distress, obesity and chronic diseases among US adults, 2009 behavioral risk factor surveillance system.

BackgroundAlthough evidence suggests that poor sleep is associated with chronic disease, little research has been conducted to assess the relationships between insufficient sleep, frequent mental distress (FMD ≥14 days during the past 30 days), obesity, and chronic disease including diabetes mellitus, coronary heart disease, stroke, high blood pressure, asthma, and arthritis.MethodsData from 375,653 US adults aged ≥ 18 years in the 2009 Behavioral Risk Factor Surveillance System were used to assess the relationships between insufficient sleep and chronic disease. The relationships were further examined using a multivariate logistic regression model after controlling for age, sex, race/ethnicity, education, and potential mediators (FMD and obesity).ResultsThe overall prevalence of insufficient sleep during the past 30 days was 10.4% for all 30 days, 17.0% for 14–29 days, 42.0% for 1–13 days, and 30.6% for zero day. The positive relationships between insufficient sleep and each of the six chronic disease were significant (p < 0.0001) after adjustment for covariates and were modestly attenuated but not fully explained by FMD. The relationships between insufficient sleep and both diabetes and high blood pressure were also modestly attenuated but not fully explained by obesity.ConclusionsAssessment of sleep quantity and quality and additional efforts to encourage optimal sleep and sleep health should be considered in routine medical examinations. Ongoing research designed to test treatments for obesity, mental distress, or various chronic diseases should also consider assessing the impact of these treatments on sleep health.

Association of Sleep Duration with Obesity among US High School Students

Increasing attention is being focused on sleep duration as a potential modifiable risk factor associated with obesity in children and adolescents. We analyzed data from the national Youth Risk Behavior Survey to describe the association of obesity (self-report BMI ≥95th percentile) with self-reported sleep duration on an average school night, among a representative sample of US high school students. Using logistic regression to control for demographic and behavioral confounders, among female students, compared to 7 hours of sleep, both shortened (≤4 hours of sleep; adjusted odds ratio (95% confidence interval), AOR = 1.50 (1.05–2.15)) and prolonged (≥9 hours of sleep; AOR = 1.54 (1.13–2.10)) sleep durations were associated with increased likelihood of obesity. Among male students, there was no significant association between obesity and sleep duration. Better understanding of factors underlying the association between sleep duration and obesity is needed before recommending alteration of sleep time as a means of addressing the obesity epidemic among adolescents.

Physical and sexual intimate partner violence and reported serious psychological distress in the 2007 BRFSS

Objectives:We sought to determine the relationship between intimate partner violence (IPV) and serious psychological distress (SPD) as measured by the Kessler-6 (K6) among U.S. adults. We used data from the 2007 Behavioral Risk Factor Surveillance System (BRFSS) to determine whether individuals who reported multiple forms of IPV also reported higher prevalences of SPD compared with those who reported: 1) no physical or sexual IPV; 2) physical or sexual IPV only; and 3) threatened or attempted physical IPV. We also obtained adjusted prevalences for lifetime physical or sexual IPV.Methods:We analyzed responses from three states that administered both the IPV and the K6 optional modules of the BRFSS in 2007. Respondents (5,985 men; 9,335 women) were categorized as experiencing threatened or attempted physical violence, physical violence, sexual violence, or both physical and sexual violence. We calculated lifetime IPV prevalence by demographic characteristics and performed adjusted and unadjusted logistic regressions of the relationship between level of IPV and SPD.Results:15.5 % of the sample reported some form of IPV. The prevalence of any IPV was almost twice as high in women (19.9 %) as in men (10.9 %). IPV was also associated with age, marital status, employment status, and income. Overall, the estimated prevalence of SPD was 2.9 % (95 % CI: 2.5–3.5). Among women, it was 2.1 % (95 % CI: 1.16–2.8) among those with no lifetime IPV and 15.4 % (95 % CI: 10.9–21.3) among those who reported both physical and sexual IPV.Conclusions:IPV is a serious public health problem associated with multiple adverse health outcomes, including SPD. In our study, the odds of SPD increased when respondents experience multiple forms of IPV. Medical and mental health practitioners should consider assessing exposure to IPV when patients have signs or symptoms of SPD or other conditions that might be consistent with IPV. Similarly, practitioners should consider assessing for IPV among patients with SPD. States should consider obtaining population-based IPV prevalence via the BRFSS to better plan for the health needs of their residents.

Prevalence and Correlates of Current Depressive Symptomatology and Lifetime Diagnosis of Depression in Black Women

BACKGROUND There is a paucity of research on depressive symptoms and their correlates among Black women, which may contribute to underdiagnosis, misdiagnosis, and inappropriate treatment. METHODS Data were analyzed from the 2006 Behavioral Risk Factor Surveillance System, an ongoing, state-based, random-digit-dialed telephone survey of the noninstitutionalized U.S. population aged > or =18 years. A total of 10,783 Black women aged 18 to 64 years were interviewed from 38 states, 2 U.S. territories, and the District of Columbia (DC). There were 8,412 (78.0%) women who provided complete responses to questions regarding demographic characteristics, psychosocial variables, current depressive symptomatology, and a lifetime diagnosis of a depressive disorder. Weighted prevalence estimates and 95% confidence limits of current depressive symptomatology and self-reported lifetime diagnosis of depression were derived. Multiple logistic regression models were used to examine the association of each correlate with the depression outcomes. RESULTS Overall, 13.8% of Black women reported current depressive symptoms, and 14.9% reported a lifetime diagnosis of a depressive disorder by a health care provider. Significant correlates of both outcomes included rarely/never receiving social support, being unable to work, having physical health problems for 14 or more days in the past month, and dissatisfaction with life. CONCLUSIONS This study indicates that a substantial number of Black women suffer from significant symptoms of depression and report that they have been diagnosed with depressive disorders in their lifetime. Health care providers should assess Black women with poor physical health and life dissatisfaction for depressive disorders and not dismiss somatic complaints as solely physically based.

The mediating sex-specific effect of psychological distress on the relationship between adverse childhood experiences and current smoking among adults

BackgroundResearch suggests that ACEs have a long-term impact on the behavioral, emotional, and cognitive development of children. These disruptions can lead to adoption of unhealthy coping behaviors throughout the lifespan. The present study sought to examine psychological distress as a potential mediator of sex-specific associations between adverse childhood experiences (ACEs) and adult smoking.MethodData from 7,210 Kaiser-Permanente members in San Diego California collected between April and October 1997 were used.ResultsAmong women, psychological distress mediated a significant portion of the association between ACEs and smoking (21% for emotional abuse, 16% for physical abuse, 15% for physical neglect, 10% for parental separation or divorce). Among men, the associations between ACEs and smoking were not significant.ConclusionsThese findings suggest that for women, current smoking cessation strategies may benefit from understanding the potential role of childhood trauma.

HIV testing among adults with mental illness in the United States.

Nationally representative data from the 2007 National Health Interview Survey (NHIS) were used to compare HIV testing prevalence among US adults with mental illness (schizophrenia spectrum disorder, bipolar disorder, depression, and/or anxiety) to those without, providing an update of prior work using 1999 and 2002 NHIS data. Logistic regression modeling was used to estimate the probability of ever being tested for HIV by mental illness status, adjusting for age, sex, race/ethnicity, marital status, substance abuse, excessive alcohol or tobacco use, and HIV risk factors. Based on data from 21,785 respondents, 15% of adults had a psychiatric disorder and 37% ever had an HIV test. Persons with schizophrenia (64%), bipolar disorder (63%), and depression and/or anxiety (47%) were more likely to report ever being tested for HIV than those without mental illness (35%). In multivariable models, individuals reporting schizophrenia (adjusted prevalence ratio=1.68, 95% confidence interval=1.33-2.13), bipolar disease (1.58, 1.39-1.81), and depression and/or anxiety (1.31, 1.25-1.38) were more likely to be tested for HIV than persons without these diagnoses. Similar to previous analyses, persons with mental illness were more likely to have been tested than those without mental illness. However, the elevated prevalence of HIV in populations with mental illness suggests that high levels of testing along with other prevention efforts are needed.