Search

Objective Previous research has suggested that depressive symptoms may be associated with telomere length; however, findings have been mixed, and few studies have sought to generalize the results beyond samples of white individuals. The present study, conducted from August 2013 through August 2015, sought to examine the relationship between depressive symptoms and leukocyte telomere length in a large (N = 2,710), multiethnic sample (African American, white, Hispanic) and to determine if this relationship differed across ethnic/racial groups. Analyses were based on data taken from the Dallas Heart Study, a recent epidemiologic-style, population-based study of adults from Dallas County, Texas. Methods Depressive symptoms were measured using the Quick Inventory of Depressive Symptomatology, and leukocyte telomere length was measured using a quantitative polymerase chain reaction technique. Analyses of the relationship between depressive symptoms and telomere length were conducted using multiple linear regression models. Results Among the whole sample, there was no significant relationship between depressive symptoms and telomere length in either a basic (β = -0.025, P = .190) or an adjusted (β = -0.015, P = .443) model. However, among non-Hispanic white participants, depressive symptoms were significantly associated with telomere length in both basic (β = -0.083, P = .014) and adjusted (β = -0.066, P = .049) models. Conclusions These findings suggest that ethnic/racial identification may be a factor in the relationship between depressive symptoms and telomere length and could impact the generalizability of previous research.

Background/Aims: Few studies have examined predictors of reversion from mild cognitive impairment (MCI) to normal cognition. We sought to identify baseline predictors of reversion, using the National Alzheimer's Coordinating Center Uniform Data Set, by comparing MCI individuals who reverted to normal cognition to those who progressed to dementia. Methods: Participants (n = 1,208) meeting MCI criteria were evaluated at the baseline visit and 3 subsequent annual visits. Clusters of baseline predictors of MCI reversion included demographic/genetic data, global functioning, neuropsychological functioning, medical health/dementia risk score, and neuropsychiatric symptoms. Stepwise logistic regression models identified predictors of MCI reversion per cluster, which were then entered into a final comprehensive model to find overall predictor(s). Results: At 2 years, 175 (14%) reverted to normal cognition, 612 (51%) remained MCI, and 421 (35%) progressed to dementia, with sustained diagnoses at 3 years. Significant variables associated with MCI reversion were younger age, being unmarried, absence of APOE ε4 allele, lower CDR-SOB score, and higher memory/language test scores. Conclusion: A relatively sizable proportion of MCI individuals reverted to normal cognition, which is associated with multiple factors previously noted. Findings may enhance MCI prognostic accuracy and increase precision of early intervention studies of dementia.

This study constituted the first step in the psychometric development of a self-report screening instrument for risk of opioid medication misuse among chronic pain patients. A 26-item instrument, the Pain Medication Questionnaire (PMQ), was constructed based on suspected behavioral correlates of opioid medication misuse, which heretofore have received limited empirical investigation. The PMQ was administered to 184 patients at an interdisciplinary pain treatment center. Reliability coefficients for the PMQ were found to be of moderate but acceptable strength. Construct and concurrent validity were examined through correlation of PMQ scores to measures of substance abuse, physical and psychological functioning, and physicians' risk assessments. To explore high and low cutoff points for misuse risk, subgroups were formed according to the upper and lower thirds of PMQ scores and compared on validity measures. Higher PMQ scores were associated with history of substance abuse, higher levels of psychosocial distress, and poorer functioning. Future psychometric analyses will consider predictive validity and examine shortened versions of the instrument.