The multiple-risk-factor intervention strategy resulted in a significant reduction in the risk of falling among elderly persons in the community. In addition, the proportion of persons who had the targeted risk factors for falling was reduced in the intervention group, as compared with the control group. Thus, risk-factor modification may partially explain the reduction in the risk of falling.

LDER AMERICANS COMprise about 13% of the US population, yet account for 18% of all suicide deaths. 1 Among adults who attempt suicide, the elderly are most likely to die as a result. 2 Recent national reports emphasize the public health need for intervention trials to reduce the risk for suicide in late life. 3,4 This article presents initial outcomes from the multisite, randomized trial known as PROSPECT (Prevention of Suicide in Primary Care Elderly: Collaborative Trial). PROSPECT tested the impact of a primary carebased intervention on reducing major risk factors for suicide in late life. Primary care practices were important to study because the majority of older adults who die by suicide have seen their physician within months of their death. 5,6 PROSPECT approached suicide risk reduction from a public health perspective by targeting factors that are strongly related to suicide risk, common in primary care, and malleable. 7 Depression is the principal risk factor for suicide Author Affiliations and Financial Disclosures are listed at the end of this article.

Geriatric major depression is twice as common in patients receiving home care as in those receiving primary care. Most depressions in patients receiving home care are untreated. The poor medical and functional status of these patients and the complex organizational structure of home health care pose a challenge for determining safe and effective strategies for treating depressed elderly home care patients.

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The effects of social support and social networks may vary according to the individual's gender and baseline physical capabilities. Studies of functional decline among elderly persons should not ignore this population variation in the effects of social networks.