Considerable research and public discourse on family caregiving portrays it as a stressful and burdensome experience with serious negative health consequences. A landmark study by Schulz and Beach that reported higher mortality rates for strained spouse caregivers has been widely cited as evidence for the physical health risks of caregiving and is often a centerpiece of advocacy for improved caregiver services. However, 5 subsequent population-based studies have found reduced mortality and extended longevity for caregivers as a whole compared with noncaregiving controls. Most caregivers also report benefits from caregiving, and many report little or no caregiving-related strain. Policy reports, media portrayals, and many research reports commonly present an overly dire picture of the health risks associated with caregiving and largely ignore alternative positive findings. As the pool of traditional family caregivers declines in the coming years, a more balanced and updated portrayal of the health effects of caregiving is needed to encourage more persons to take on caregiving roles, and to better target evidence-based services to the subgroup of caregivers who are highly strained or otherwise at risk. Recommendations are discussed for research that will better integrate and clarify both the negative and potential positive health effects of informal caregiving.

Background and Purpose. The University of Alabama at Birmingham (UAB) Study of Aging Life-Space Assessment (LSA) is a relatively new instrument to measure mobility. The purpose of this report is to describe the relationships between LSA and traditional measures of physical function, sociodemographic characteristics, depression, and cognitive status. Subjects. Subjects were a stratified random sample of 998 Medicare beneficiaries aged ≥65 years. The sample was 50% African American, 50% male, and 50% from rural (versus urban) counties. Methods. In-home interviews were conducted. Mobility was measured using the LSA, which documents where and how often subjects travel and any assistance needed during the 4 weeks prior to the assessment. Basic activities of daily living (ADL) and instrumental activities of daily living (IADL), cognitive status, income level, presence of depressive symptoms, and transportation resources were determined. The Short Physical Performance Battery (SPPB) was used to assess physical performance. Results. Simple bivariate correlations indicated a significant relationship between LSA and all variables except residence (rural versus urban). In a regression model, physical function (ADL, IADL) and physical performance (SPPB) accounted for 45.5% of the variance in LSA scores. An additional 12.7% of the variance was explained by sociodemographic variables, and less than 1% was explained by cognition and depressive symptoms. Discussion and Conclusion. The LSA can be used to document patients' mobility within their home and community. The LSA scores are associated with a person's physical capacity and other factors that may limit mobility. These scores can be used in combination with other tests and measures to generate clinical hypotheses to explain mobility deficits and to plan appropriate interventions to address these deficits.

Greater access to effective programs of counseling and support could yield considerable benefits for caregivers, patients with Alzheimer disease, and society.

Performance-based cognitive measures are predictive of future at-fault MVCs in older adults. Cognitive performance, in particular, is a salient predictor of subsequent crash involvement in older adults. High-risk older drivers can be identified through brief, performance-based measures administered in a MVA setting.