Karen L. Whiteman

Incorporating Persistent Pain in Phenotypic Frailty Measurement and Prediction of Adverse Health Outcomes

Background: Frailty, a syndrome of physiological deficits, is prevalent among older adults and predicts elevated risk of adverse health outcomes. Although persistent pain predicts similar risk, it is seldom considered in frailty measurement. This article evaluated the construct and predictive validity of including persistent pain in phenotypic frailty measurement. Methods: Frailty and persistent pain were operationalized using data from the Health and Retirement Study (2006–2012 waves). Among a subset of adults aged 65 and older (n = 3,652), we used latent class analysis to categorize frailty status and to evaluate construct validity. Using Cox proportional hazards models, we compared time to incident adverse outcomes (death, fall, hospitalization, institutionalization, and functional disability) between frailty classes determined by either including or excluding persistent pain as a frailty component. Results: In latent class models, persistent pain occurred with other frailty components in patterns consistent with a medical syndrome. Frail and intermediately frail classes determined by including persistent pain were more strongly associated with all adverse outcomes compared with frail and intermediately frail classes determined excluding persistent pain. Frail respondents had significantly greater risk of death compared with nonfrail respondents when frailty models included rather than excluded persistent pain (respectively, hazard ratio [HR] = 3.87, 95% confidence interval [CI] = 2.99–5.00 (including pain); HR = 2.10, 95% CI = 1.71–2.59 (excluding pain). Conclusions: Findings support consideration of persistent pain as a component of the frailty phenotype. Persistent pain assessment may provide an expedient method to enhance frailty measurement and improve prediction of adverse outcomes.

Lifestyle interventions for weight loss among overweight and obese adults with serious mental illness: A systematic review and meta-analysis

OBJECTIVE To conduct a systematic review and meta-analysis to estimate effects of lifestyle intervention participation on weight reduction among overweight and obese adults with serious mental illness. METHOD We systematically searched electronic databases for randomized controlled trials comparing lifestyle interventions with other interventions or usual care controls in overweight and obese adults with serious mental illness, including schizophrenia spectrum or mood disorders. Included studies reported change in weight [kg] or body mass index (BMI) [kg/m2] from baseline to follow-up. Standardized mean differences (SMD) were calculated for change in weight from baseline between intervention and control groups. RESULTS Seventeen studies met inclusion criteria (1968 participants; 50% male; 66% schizophrenia spectrum disorders). Studies were grouped by intervention duration (≤6-months or ≥12-months). Lifestyle interventions of ≤6-months duration showed greater weight reduction compared with controls as indicated by effect size for weight change from baseline (SMD=-0.20; 95% CI=-0.34, -0.05; 10 studies), but high statistical heterogeneity (I2=90%). Lifestyle interventions of ≥12-months duration also showed greater weight reduction compared with controls (SMD=-0.24; 95% CI=-0.36, -0.12; 6 studies) with low statistical heterogeneity (I2=0%). CONCLUSION Lifestyle interventions appear effective for treating overweight and obesity among people with serious mental illness. Interventions of ≥12-months duration compared to ≤6-months duration appear to achieve more consistent outcomes, though effect sizes are similar for both shorter and longer duration interventions.

Characteristics and Service Use of Older Adults with Schizoaffective Disorder Versus Older Adults with Schizophrenia and Bipolar Disorder

OBJECTIVE The purpose of this study was to determine if schizoaffective disorder in older adults is differentiated from schizophrenia and bipolar disorder with respect to community functioning, cognitive functioning, psychiatric symptoms, and service use. DESIGN Secondary analysis of baseline data collected from the Helping Older People Experience Success psychosocial skills training and health management study. SETTING Three community mental health centers in New Hampshire and Massachusetts. PARTICIPANTS Adults over the age of 50 (N = 139, mean age: 59.7 years, SD: 7.4 years) with persistent functional impairment and a diagnosis of schizoaffective disorder (N = 52), schizophrenia (N = 51), or bipolar disorder (N = 36). MEASUREMENTS Health status (36-Item Short Form Health Survey [SF-36]), performance-based community living skills (UCSD Performance-Based Skills Assessment), neuropsychological functioning (Delis-Kaplan Executive Functioning subtests), psychiatric symptoms (Brief Psychiatric Rating Scale, Center for Epidemiologic Studies Depression Scale, Scale for the Assessment of Negative Symptoms), medical severity (Charlson comorbidity index), and acute service use. RESULTS Older adults with schizoaffective disorder had depressive symptoms of similar severity to bipolar disorder, and thought disorder symptoms of similar severity to schizophrenia. Schizoaffective disorder compared with schizophrenia was associated with better community functioning, but poorer subjective physical and mental health functioning as measured by the SF-36. Older adults with schizoaffective disorder had greater acute hospitalization compared with adults with schizophrenia, though their use of acute care services was comparable to individuals with bipolar disorder. CONCLUSIONS Findings from this study suggest that schizoaffective disorder in older adults occupies a distinct profile from either schizophrenia or bipolar disorder with respect to community functional status, symptom profile, and acute services utilization.

Factors Associated With Accelerated Hospitalization and Re-hospitalization Among Medicare Home Health Patients

Background Preventing hospitalizations and re-hospitalizations of older adults receiving Medicare home health (HH) services is a key goal for patients and care providers. This study aimed to identify factors related to greater risk of and earlier hospitalizations from HH, a key step in targeting preventive efforts. Methods Data come from Medicare mandated start-of-care assessments from 87,780 HH patients served by 132 agencies in 32 states, collected from January 2013 to March 2015. Using parametric accelerated failure time (AFT) survival models, we evaluated the association between key patient and environmental characteristics and the hazard of and time until hospitalization and re-hospitalization. Results In total, 15,030 hospitalizations, including 6,539 re-hospitalizations, occurred in the sample within 60 days of start of HH. Factors most strongly associated with substantially greater risk of and earlier hospitalization included male gender, history of hospitalization, polypharmacy, elevated depressive symptoms, greater functional disability, primary diagnoses of heart disease, chronic obstructive pulmonary disease, and urinary tract infection, and government-controlled agency care. In addition to these factors, black race and primary diagnosis of skin wounds were uniquely related to risk of earlier re-hospitalization. Conclusions Results suggest that factors collected during routine HH patient assessments can provide important information to predict risk of earlier hospitalization and re-hospitalization among Medicare HH patients. Identified factors can help identify patients at greatest risk of early hospitalization and may be important targets for agencies and care providers to prevent avoidable hospitalizations.

Body Mass Index and Rural Status on Self-Reported Health in Older Adults: 2004-2013 Medicare Expenditure Panel Survey

PURPOSE To ascertain whether rural status impacts self-reported health and whether the effect of rural status on self-reported health differs by obesity status. METHODS We identified 22,307 subjects aged ≥60 from the Medical Expenditure Panel Survey 2004-2013. Body mass index (BMI) was categorized as underweight, normal, overweight, or obese. Physical and mental component scores of the Short Form-12 assessed self-reported health status. Rural/urban status was defined using metropolitan statistical area. Weighted regression models ascertained the relative contribution of predictors (including rural and BMI) on each subscale. FINDINGS Mean age was 70.7 years. Rural settings had higher proportions classified as obese (30.7 vs 27.6%; P < .001), and rural residents had lower physical health status (41.7 ± 0.3) than urban (43.4 ± 0.1; P < .001). Obese or underweight persons had lower physical health status (39.5 ± 0.20 and 37.0 ± 0.82, respectively) than normal (44.7 ± 0.18) or overweight (44.6 ± 0.16) persons (P < .001). BMI category stratification was associated with differences in physical health between rural/urban by BMI. Individuals classified as underweight or obese had lower physical health compared to normal, while the differences were less pronounced for mental health. No differences in mental health existed between rural/urban status. A BMI * rural interaction was significant for physical but not mental health. CONCLUSIONS Rural residents report lower self-reported physical health status compared to urban residents, particularly older adults who are obese or underweight. No interaction was observed between BMI and rural status.

Mood Disorders in Middle-Aged and Older Veterans With Multimorbidity

Objective: This study identified the prevalence of and relationship between mood disorders and multimorbidity in middle-aged and older veterans. Method: Cross-sectional data were obtained from veterans who received primary care services at VA Pittsburgh Healthcare System from January 2007 to December 2011 (n = 34,786). Results: Most veterans had three or more organ systems with chronic disease (95.3%), of which 4.1% had a depressive disorder, 2.5% had an anxiety disorder, and 0.7% had co-occurring depression and anxiety. The odds of having a mood disorder increased with each additional organ system with chronic disease, with odds being the greatest in those with 10 to 13 organ systems with chronic disease. Younger age, female gender, non-married marital status, and having a service connected disability were also significant predictors of having a mood disorder. Discussion: These findings suggest a need to integrate mental health assessment and treatment in chronic health care management for veterans.