Understanding Vulnerability to Late-Life Suicide.

PURPOSE OF REVIEW: We review recent evidence on suicide among older adults, examine risk factors contributing to vulnerability to late-life suicide, and summarize possible interventions. RECENT FINDINGS: We found a steadily increasing rate of late-life suicide in the USA in the past decade. Evidence supporting the integration of depression care managers into primary care for risk reduction is among the strongest to date. Pharmacologic and neuromodulation studies should be considered in geriatric depression complicated by suicidality. Broad societal campaigns about suicide education, as well as active outreach to psychiatric patients after discharge or a suicidal crisis, prevent suicidal behavior. Growing research supports an integrative multidisciplinary approach. Suicide is a complex and multifaceted behavior with numerous casual points for intervention. Access to deadly means, presence of depression, disease, disability, and social disconnection are factors that increase vulnerability. Quality geriatric care, regular screening in primary and emergency care settings, and a multidisciplinary approach are necessary to mitigate risk factors. The COVID-19 pandemic amplifies need for a more aggressive approach.

Longitudinal Patterns of Physical Activity Among Older Adults: A Latent Transition Analysis.

Most epidemiologic studies of physical activity measure either total energy expenditure or engagement in a single type of activity, such as walking. These approaches may gloss over important nuances in activity patterns. We performed a latent transition analysis to identify patterns of activity, as well as neighborhood and individual determinants of changes in those activity patterns, over 2 years in a cohort of 2,023 older adult residents of New York, New York, surveyed between 2011 and 2013. We identified 7 latent classes: 1) mostly inactive, 2) walking, 3) exercise, 4) household activities and walking, 5) household activities and exercise, 6) gardening and household activities, and 7) gardening, household activities, and exercise. The majority of subjects retained the same activity patterns between waves (54% unchanged between waves 1 and 2, 66% unchanged between waves 2 and 3). Most latent class transitions were between classes distinguished only by 1 form of activity, and only neighborhood unemployment was consistently associated with changing between activity latent classes. Future latent transition analyses of physical activity would benefit from larger cohorts and longer follow-up periods to assess predictors of and long-term impacts of changes in activity patterns.

Screening Older Adults for Mental Disorders.

Avoidable disability associated with depression, anxiety, and impaired cognition among older adults is pervasive. Incentives for detection of mental disorders in late life include increased reimbursement, reduced cost, and less burden for patients and families. However, screening not aligned with diagnosis, intervention, and outcome assessment has questionable utility. The link between screening, treatment, and outcomes is well established for depression, less so for anxiety and impaired cognition. This article details the use of common instruments to screen and assess depression, anxiety, and cognitive impairment.

Contextual Correlates of Physical Activity among Older Adults: A Neighborhood Environment-Wide Association Study (NE-WAS).

Background: Few older adults achieve recommended physical activity levels. We conducted a "neighborhood environment-wide association study (NE-WAS)" of neighborhood influences on physical activity among older adults, analogous, in a genetic context, to a genome-wide association study.Methods: Physical Activity Scale for the Elderly (PASE) and sociodemographic data were collected via telephone survey of 3,497 residents of New York City aged 65 to 75 years. Using Geographic Information Systems, we created 337 variables describing each participant's residential neighborhood's built, social, and economic context. We used survey-weighted regression models adjusting for individual-level covariates to test for associations between each neighborhood variable and (i) total PASE score, (ii) gardening activity, (iii) walking, and (iv) housework (as a negative control). We also applied two "Big Data" analytic techniques, LASSO regression, and Random Forests, to algorithmically select neighborhood variables predictive of these four physical activity measures.Results: Of all 337 measures, proportion of residents living in extreme poverty was most strongly associated with total physical activity [-0.85; (95% confidence interval, -1.14 to -0.56) PASE units per 1% increase in proportion of residents living with household incomes less than half the federal poverty line]. Only neighborhood socioeconomic status and disorder measures were associated with total activity and gardening, whereas a broader range of measures was associated with walking. As expected, no neighborhood meaZsures were associated with housework after accounting for multiple comparisons.Conclusions: This systematic approach revealed patterns in the domains of neighborhood measures associated with physical activity.Impact: The NE-WAS approach appears to be a promising exploratory technique. Cancer Epidemiol Biomarkers Prev; 26(4); 495-504. ©2017 AACRSee all the articles in this CEBP Focus section, "Geospatial Approaches to Cancer Control and Population Sciences."

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study.

Neighborhood physical disorder-the visual indications of neighborhood deterioration-may inhibit outdoor physical activity, particularly among older adults. However, few previous studies of the association between neighborhood disorder and physical activity have focused on this sensitive population group, and most have been cross-sectional. We examined the relationship between neighborhood physical disorder and physical activity, measured using the Physical Activity Scale for the Elderly (PASE), in a three-wave longitudinal study of 3497 New York City residents aged 65-75 at baseline weighted to be representative of the older adult population of New York City. We used longitudinal mixed linear regression controlling for a number of individual and neighborhood factors to estimate the association of disorder with PASE score at baseline and change in PASE score over 2 years. There were too few subjects to assess the effect of changes in disorder on activity levels. In multivariable mixed regression models accounting for individual and neighborhood factors; for missing data and for loss to follow-up, each standard deviation increase in neighborhood disorder was associated with an estimated 2.0 units (95% CI 0.3, 3.6) lower PASE score at baseline, or the equivalent of about 6 min of walking per day. However, physical disorder was not related to changes in PASE score over 2 years of follow-up. In this ethnically and socioeconomically diverse population of urban older adults, residents of more disordered neighborhoods were on average less active at baseline. Physical disorder was not associated with changes in overall physical activity over time.

Psychiatric and Medical Comorbidity in the Primary Care Geriatric Patient-An Update.

The mental health needs of older primary care patients are now widely recognized if not widely addressed. The range of behavioral health approaches including co-locating psychiatrists and integrating mental health professionals as care managers into primary care sites is extensive and growing. Nonetheless the primary care provider remains the first line of defense against mental disorders, most commonly depression and anxiety that accompany and exacerbate common physical conditions. The excess, potentially avoidable disability that results from comorbidity makes it imperative that early recognition and evidence based intervention occur. Multi-morbidity and polypharmacy make intervention a challenge. Psychotherapy can help overcome comorbidity depression however the most accessible intervention would be an antidepressant FDA approved for both anxiety and depressive disorders. For all these reasons, a focus on physical conditions most commonly associated with mental disorders can foster early recognition before the older patient's care becomes overwhelmingly complicated.