tality for the sub-Saharan countries, and this has an impact on population estimates and projections. Efforts are currently under way to improve the collection of demographic data in many sub-Saharan countries, which will improve the future projections and assist in elucidating how these countries will age in the future.

The impact of HIV/AIDS on adult mortality rates in sub-Saharan Africa has reshaped the population structure and age distribution in most countries. Approximately 2.3 million people died of AIDS in 2004 (Joint United Nations Programme on HIV/AIDS, 2004). By the year 2020, it is projected that a total of 75 million Africans will have lost their lives to AIDS since the beginning of the epidemic. The impact of AIDS dramatically affects how countries in sub-Saharan Africa will age over the next several decades. Despite the huge impact of AIDS, sub-Saharan Africa is aging and will continue to age. The number of older people is projected to nearly double in less than 30 years. These growing numbers of older people will age in countries that are ill equipped to deal with the challenges that aging populations pose.

AIDS Acquired Immunodeficiency Syndrome

HIV Human Immunodeficiency Virus

HMN Health Metrics Network

Front Matter (R1-R12)

Executive Summary (1-6)

Part I: Report -- 1. Aging in Sub-Saharan Africa: Recommendations for Furthering Research (7-45)

References (46-52)

Part II: Papers -- 2. Aging in Sub-Saharan Africa: The Changing Demography of the Region (53-91)

3. Demographic Impacts of the HIV Epidemic and Consequences of Population-wide Treatment of HIV for the Elderly: Results from Microsimulation (92-116)

4. The HIV/AIDS Epidemic, Kin Relations, Living Arrangements, and the Elderly in South Africa. (117-165)

5. Older Adults and the Health Transition in Agincourt, Rural South Africa: New Understanding, Growing Complexity (166-188)

6. The Situation of Older People in Poor Urban Settings: The Case of Nairobi, Kenya (189-213)

7. Labor Force Withdrawal of the Elderly in South Africa (214-249)

8. HIV/AIDS and Older People in South Africa (250-275)

9. Interactions Between Socioeconomic Status and Living Arrangements in Predicting Gender-Specific Health Status Among the Elderly in Cameroon (276-313)

10. Survey Measures of Health: How well do Self-Reported and Observed Indicators Measure Health and Predict Mortality? (314-342)

Appendix A Workshop Agenda (343-350)

Appendix B About the Contributors (351-356)