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Abstract

Demographers’ interest in reproductive health stems largely from their interest in fertility. Various female health conditions, e.g., reproductive tract infections, tend to reduce fertility or cause infertility. Family planning, an intrinsic component of reproductive health, has had an important impact on child and maternal mortality, as well as on the level of fertility and child spacing. The emergence of HIV/AIDS has heightened the interest of demographers in reproductive health. It is a leading cause of mortality, but it has also reduced fertility, diminished population growth, and modified age structures. It has restrained sexual and marital behavior, been responsible for transmission of disease from mothers to newborn children, played a possible role in international migration flows, and increased orphanhood and family destabilization.

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Notes

  1. 1.

    These two techniques were employed in a University of Pennsylvania/University of Malawi joint study, initiated in 1998, covering the responses of people in small rural villages of Malawi to the AIDS epidemic (Watkins 2004). As part of this study, HIV tests were also performed and, where there were no logistical problems, this device for securing sensitive data was deemed successful.

  2. 2.

    The singulate mean age at marriage is a mean based on census or survey data rather than marriage registration. It is the mean age at first marriage of those in the age range 15–49 years of age who have ever been married.

  3. 3.

    Age at first marriage has fluctuated greatly in the MDC, especially in the United States. For example, the marriage age in the MDC was much lower during the Baby Boom era, as was that in the United States. The United States has always tended to have a lower age at first marriage than the MDC as a group.

  4. 4.

    In the United States, consensual unions are commonly a childless state that serves as a trial period prior to marriage and has only a modest degree of legal recognition. Cohabiting couples, cohabiting relationships, or unmarried-partner households in the United States generally have no legal recognition but are accepted by much of the public with little stigma as a temporary household arrangement. A few states sanction such unions as common-law marriages.

  5. 5.

    In a later chapter I discuss the research that links caloric restriction to an increase in the life span of various subhuman species, including mice and rats. Caloric restriction reduces fertility in these rodents and it appears that the animals’ response to this shortage of energy is to channel more of it into their own maintenance and less into reproduction (Holliday 2004).

  6. 6.

    In spite of the theoretical advantage of the fetal loss rate, the fetal loss ratio may still be considered preferable for international comparisons. The registration of fetal losses is irregular and the effect of this irregularity is compounded when fetal losses are included with the births in the base of the fetal loss rate. Because of the likelihood that poor registration of fetal losses will occur in association with poor registration of births and, hence, that the errors in each component will offset one another to some extent, fetal loss ratios may sometimes be of satisfactory quality even where the basic data are questionable.

  7. 7.

    Other more detailed findings are that, compared with children born less than 2 years after a previous birth, children born three to 4 years after a previous birth are 1.5 times more likely to survive the first week of life, 2.2 times more likely to survive the first 28 days of life, 2.3 times more likely to survive the first year of life, and 2.4 times more likely to survive to age 5.

  8. 8.

    The condom was originally designed to prevent infection but in the middle of the nineteenth century it began to assume a major role as a contraceptive. The condom continued in this use for many decades and by the mid-1930s it became the most common contraceptive method. (During World Wars I and II, when condoms were distributed to military personnel, its use as a protection against STDs was given new impetus but this practice also stigmatized its use as encouraging illicit sex.) By the 1960s it was replaced by the female methods of contraception, namely the pill and the IUD, in the industrialized countries (except in Japan). Use of the condom as a standard method of contraception is rare in the nonindustrialized countries as compared with the industrialized countries. According to the United Nations, 21% of married couples in the More Developed Countries and 5% of couples in the Less Developed Countries rely on the condom.

    The emergence of HIV/AIDS in the 1980s, the rapid spread of the disease, and the current HIV/AIDS epidemic have brought the condom into use as the principal means of preventing the transmission of the disease. The condom is quite effective in the reduction of sexually transmitted diseases, but religious and cultural beliefs have been barriers to its use. It is greatly underused, especially in the areas where STDs are most prevalent. Sub-Saharan Africa exhibits the least condom use – several percent at most – and the worst HIV/AIDS epidemic. Strong efforts are being made to encourage greater use of the condom there as elsewhere.

References and Suggested Readings

General

  • Fathalia, M. (1988). Reproductive health: A global overview. Annals of the New York Academy of Sciences, 626, 1–10.

    Article  Google Scholar 

  • Goliber, T. J. (1997). Population and reproductive health in sub-Saharan Africa. Population Bulletin, 52(4), 1–44 (Washington, DC: Population Reference Bureau).

    Google Scholar 

  • Lamb, V. L., & Siegel, J. S. (2004). Health demography. In J. S. Siegel & D. A. Swanson (Eds.), The methods and materials of demography, (2nd ed.). San Diego: Elsevier/Academic.

    Google Scholar 

  • National Academy of Sciences. (1997). Reproductive health in developing countries: Expanding dimensions, building solutions. Washington, DC: National Academy Press.

    Google Scholar 

  • Obermeyer, C. M. (1996). A research agenda for reproductive health. IUSSP Newsletter, 54, 10–19.

    Google Scholar 

  • Rodgers, J. L., & Kohler, H. P. (2003). The biodemography of human reproduction and fertility. Dordrecht, the Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Rodgers, J. L., Rowe, D. & Miler, W. B. (2000). Genetic Influences on human fertility and sexuality. Dordrecht, the Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • United Nations (UN). (2003). World population monitoring: Reproductive rights and reproductive health, ST/ESA/SER.A/215. New York: United Nations.

    Google Scholar 

  • United Nations Population Fund (UNFPA). (2004). The state of world population: The Cairo Conference at Ten; Population, reproductive health, global efforts to end poverty. Geneva, Switzerland: UNFPA.

    Google Scholar 

  • World Health Organization (WHO). (2006). Reproductive health indicators – Guidelines for their generation, interpretation, and analysis for global monitoring. Geneva, Switzerland: World Health Organization.

    Google Scholar 

Definitions, Sources, and Quality of Data

  • Hammond, E. I. (1965). Studies in fetal and infant mortality. I. A methodological approach to the definition of perinatal mortality. American Journal of Public Health, 55(7), 1012–1023.

    Google Scholar 

  • Stewart, M. K., Stanton, C. K., Festin, M., & Jacobson, N. (1996). Issues in measuring maternal morbidity: Lessons from the Philippines Safe Motherhood Survey Project. Studies in Family Planning, 27(1), 29–36.

    Article  Google Scholar 

  • United Nations. (1994). World plan of action conference document. In International conference for population and development, Cairo, Egypt. New York: United Nations.

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (1996). Vital statistics of the United States, 1991. Hyattsville, MD: National Center for Health Statistics.

    Google Scholar 

  • U.S. National Office of Vital Statistics (NOVS). (1954). Vital statistics of the United States, 1950. Washington, DC: U.S. Public Health Service.

    Google Scholar 

  • Watkins, S. C. (2004). Navigating the AIDS epidemic in rural Malawi. Population and Development Review, 30(4), 690–698.

    Article  Google Scholar 

  • World Health Organization (WHO). (1989, August 30–September 1). Measuring reproductive morbidity. Report of a Technical Working Group, Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • Zurayk, H., Khattab, H., Younis, N. et al. (1993, August 24–September 2). A comparison of women’s report and medical diagnosis of reproductive morbidity conditions in rural Egypt. In Proceedings of the International Union for the scientific study of population, Montreal, Canada.

    Google Scholar 

Biodemographic Concepts, Fertility Patterns, and Reproductive Aging

  • Alan Guttmacher Institute. (2002). Sexual and reproductive health: Women and men. In Facts in brief. New York City: Alan Guttmacher Institute.

    Google Scholar 

  • Alan Guttmacher Institute. (2007). Facts on induced abortions. In Facts in brief. New York City: Alan Guttmacher Institute.

    Google Scholar 

  • Austad, S. (1997). Why we age? New York: Wiley.

    Google Scholar 

  • Carnes, B. A., Olshansky, S. J., & Grahn, D. (2003). Biological evidence for limits to the duration of life. Biogerontology, 4(1), 31–45.

    Article  Google Scholar 

  • Chandra, A., & Stephen, E. H. (1998). Impaired fecundity in the United States: 1982–95. Family Planning Perspectives, 30(1), 34–42.

    Article  Google Scholar 

  • Coale, A.J., and P. Demeny. 1966. Regional model life tables and stable model life tables. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Davis, D. L., Webster, P., Stainthrope, H., et al. (2007). Declines in sex ratio at birth and fetal deaths in Japan, and in U.S. whites but not African Americans. Environmental Health Perspectives, 115(6), 941–946.

    Google Scholar 

  • Dunne, M. P., Martin, N. G., Stathman, D. J., et al. (1999). Genetic and environmental contributions to variance in age at first sexual intercourse. Psychological Science, 8, 211–216.

    Article  Google Scholar 

  • Eaton, J. W., & Mayer, A. J. (1953). The social biology of very high fertility among the Hutterites: The demography of a unique population. Human Biology, 25, 206–264.

    Google Scholar 

  • Espenshade T. (1971). Method for estimating the level of natural fertility in populations practicing birth control. Demography, 8(4), 525–536.

    Article  Google Scholar 

  • Ferrell, R. J., O’Connor, K. A., Rodriguez, G., Gorrindo, T., et al. (2005). Monitoring the transition to menopause in a five-year prospective study: Aggregate and individual changes in steroid hormones and menstrual cycle lengths with age. Menopause, 12(5), 567–577.

    Article  Google Scholar 

  • Ferrell, R. J., O’Connor, K. A., Rodriguez, G., Holman, G., et al. (2007). Monitoring reproductive age in a five-year prospective study: Aggregate and individual changes in luteinizing hormone (LH) and follicule-stimulating hormone (FSH) with age. Menopause, 14(1), 29–37.

    Article  Google Scholar 

  • Fisch, H. (2005). The male biological clock (p. 24). New York: Free Press.

    Google Scholar 

  • Frisch, R. E. (2002). Female fertility and the body fat connection. Chicago: University of Chicago Press.

    Google Scholar 

  • Garenne, M. (2002). Sex ratios at birth in African populations: A review of survey data. Human Biology, 74(6), 889–900.

    Article  Google Scholar 

  • Garenne, M. (2004). Sex ratios at birth in populations of Eastern and Southern Africa. South African Journal of Demography, 9(1), 91–96.

    Google Scholar 

  • Henry, L. (1961). Some data on natural fertility. Eugenics Quarterly, 8, 81–91.

    Google Scholar 

  • Holliday, R. (1995). Understanding aging. Cambridge, UK: Cambridge University Press.

    Book  Google Scholar 

  • Holliday, R. (2004). The multiple and irreversible causes of aging. Journal of Gerontology: Biological Sciences, 59A(6), 568–572.

    Article  Google Scholar 

  • Hyrenius, H. (1965). New technique for studying demographic-economic-social interrelations. Paper originally presented at the United Nations Conference on the application of science and technology for the benefit of the less developed areas, Geneva, February 4–20, 1963. University of Göteborg, Göteborg, Sweden, Reports 3.

    Google Scholar 

  • Kline, J., Stein, Z., & Susser, M. (1989). Conception to birth: Epidemiology of prenatal development. New York: Oxford University Press.

    Google Scholar 

  • Kohler, H. J., Rodgers, J. L., & Christensen, K. (1999). Is fertility behavior in our genes? Population and Development Review, 25, 253–288.

    Article  Google Scholar 

  • Lian, Z. H., Zack, M. M., & Erickson, J. D. (1986). Paternal age and the occurrence of birth defects. American Journal of Human Genetics, 39, 648–660.

    Google Scholar 

  • Morris, J. K. (2008). Down’s syndrome live births in England Wales: the effect of the National Fetal Anomaly Screening Programme Genus, LXIV(3–4), 91–98.

    Google Scholar 

  • O’Connor, K. A., Holman, D. J., & Wood, J. W. (1998). Declining fecundity and ovarian aging in natural fertility populations. Maturitas, 30, 127–136.

    Article  Google Scholar 

  • O’Connor, K. A., Holman, D. J., & Wood, J. W. (2001). Menstrual cycle variability and the perimenopause. American Journal of Human Biology, 13(4), 465–478.

    Article  Google Scholar 

  • Perls, T., & Fretts, R. (2001). The evolution of menopause and human life span. Annals of Human Biology, 28, 247–245.

    Article  Google Scholar 

  • Rinaldi, A., Bigazzi, R., de Iasio, S., & di Bacco, M. (2003). Individual variability of sex ratio: A statistical control. Genus, 49(2), 29–36.

    Google Scholar 

  • Robinson, W. (1986). Another look at the Hutterites and natural fertility. Social Biology, 33, 65–76.

    Google Scholar 

  • Thomas, F., Renaud, F., Benefice, E., de Meeus, T., & Guegan, J. F. (2001). International variability of ages at menarche and menopause: patterns and main determinants. Human Biology, 73(2), 271–290.

    Article  Google Scholar 

  • United Nations (UN). (2003). World population monitoring: Reproductive rights and reproductive health, ST/ESA/SER.A/215. New York: United Nations.

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (1997). Fertility, family planning, and woman’s health: New data from the National Survey of Family Growth. By J. A. Abma, W. Chandra, W. Mosher, L. S. Peterson, & L. J. Piccinino. Vital and Health Statistics, 23(19).

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (2005). Trend analysis of the sex ratio at birth in the United States. By T. J. Mathews & B. E. Hamilton. National Vital Statistics Reports, 53(20).

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (2006). Births: Final data for 2004. By J. A. Martin, B. E. Hamilton, P. D. Sutton, S. J. Ventura, et al. National Vital Statistics Reports, 55(1).

    Google Scholar 

  • Vandresse, M., Gourbin, C., Horvath-Puho, E., Csaky-Szunyogh, M., et al. (2008). Impact of late fertility on congenital abnormalities. Genus, LX–IV(3–4), 33–62.

    Google Scholar 

  • Vermeulen, A. (2000). Andropause. Maturitas, 34, 5–15.

    Article  Google Scholar 

  • Wood, J. W., O’Connor, K. A., Holman, D. J., Brindle, E., et al. (2001). The evolution of menopause by antagonistic pleiotropy (Working paper 01–04. Center for Studies in Demography and Ecology). Seattle, WA: University of Washington.

    Google Scholar 

  • Wyshak, G., & Frisch, R. E. (1982). Evidence for a secular trend in age at menarche. New England Journal of Medicine, 306(17), 1033–1035.

    Article  Google Scholar 

  • Yi, Z, & Vaupel, J. W. (2004). Association of late childbearing with healthy longevity among the oldest-old in China. Population Studies, 58(1), 37–54.

    Article  Google Scholar 

Maternal Health

  • AbouZahr, C., & Royston, E. (1991). Maternal mortality: A global fact book. Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • Fortney, J. A., Susanti, I., Gadalla, S., Saleh, S., et al. (1986). Reproductive mortality in two developing countries. American Journal of Public Health, 76(2), 134–138.

    Article  Google Scholar 

  • Graham, W., & Campbell, O. (1990). Measuring maternal health: Defining the issues. London: Maternal and Child Epidemiology Unit, London School of Hygiene and Tropical Medicine.

    Google Scholar 

  • International Union for the Scientific Study of Population (IUSSP). (1992a). The analysis of maternity histories. Liège, Belgium: Ordina Editions.

    Google Scholar 

  • International Union for the Scientific Study of Population (IUSSP). (1992b). Measurement of maternal and child mortality, morbidity and health care: Interdisciplinary approaches. Liège, Belgium: Ordina Editions.

    Google Scholar 

  • Philippines, National Statistics Office, and Macro International. (1994). National safe motherhood survey, 1993: Demographic and health surveys. Calverton, MD: Macro International.

    Google Scholar 

  • Population Reference Bureau. (2001). Abandoning female genital cutting: Prevalence, attitudes, and efforts to end the practice. Washington, DC: Population Reference Bureau.

    Google Scholar 

  • Rooks, J., & Winikoff, B. A. (1990). A reassessment of the concept of reproductive risk in maternity care and family planning services. In Proceedings of a Seminar, 12–13 Feb 1990. A Supplement of the Population and Development Review. New York: Population Council.

    Google Scholar 

  • Rutstein, S. (2002a). Effect of birth intervals on mortality and health: Multivariate cross-country analyses. Paper presented at the Champions Meeting on Birth Spacing, 31 Jan 2002. Washington, DC: CATALYST Consortium.

    Google Scholar 

  • Rutstein, S. (2002b). Relationship between pregnancy intervals and perinatal mortality. In Proceedings of the 2nd Champions Meeting on Birth Spacing, 2 May 2002. Washington, DC: CATALYST Consortium.

    Google Scholar 

  • Setty-Venugopal, V., & Upadhyay, U. D. (2002). Birth spacing: Three to five saves lives. Population Reports: Issues in World Health, 30(3), Series L, No. 13. Baltimore, MD: Johns Hopkins University, Bloomberg School of Public Health.

    Google Scholar 

  • Shahidullah, M. (1995). The sisterhood method of estimating maternal mortality: The Matlab experience. Studies in Family Planning, 26(2), 101–108.

    Article  Google Scholar 

  • Stecklov, G. (1995). Maternal mortality estimation: Separating pregnancy-related and non-pregnancy-related risks. Studies in Family Planning, 26(1), 33–38.

    Article  Google Scholar 

  • Stewart, M. K., Stanton, C. K., Festin, M., & Jacobson, N. (1996). Issues in measuring maternal morbidity: Lessons from the Philippines Safe Motherhood Survey Project. Studies in Family Planning, 27(1), 29–36.

    Article  Google Scholar 

  • Tinker, A. & Koblinsky, M. A. (1993). Making motherhood safe (World Bank Discussion Paper No. 202). Washington, DC: The World Bank.

    Google Scholar 

  • World Health Organization (WHO). (1990, August 30–September 1). Measuring reproductive morbidity. (Report of a Technical Working Group, WHO/MCH/90.4). Geneva, Switzerland: WHO.

    Google Scholar 

  • World Health Organization (WHO). (1996). Revised 1990 estimates of maternal mortality: A new approach by WHO and UNICEF. Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • World Health Organization (WHO). (2005). World health report. Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • World Health Organization, UNICEF, and UNFPA.(2003). Maternal mortality in 2000: Estimates developed by WHO, UNICEF, and UNFPA. Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • Younis, N., Khattab, H., Zurayk, H., El-Mouelly, M., et al. (1993). A community study of gynecological and related morbidities in rural Egypt. Studies in Family Planning, 24(3), 175–186.

    Article  Google Scholar 

  • Zurayk, H., Khattab, H., Younis, N., El-Mouelly, M., & Fadle, M. (1993). Concepts and measures of reproductive morbidity. Health Transition Review, 3(1), 17–40.

    Google Scholar 

Measures of Pregnancy Losses

  • Alan Guttmacher Institute. (2007). Facts on induced abortions worldwide. In Brief facts. New York: Alan Guttmacheer Institute.

    Google Scholar 

  • Anderson, B., Katus, K., Puur, A., & Silver, B. (1994). The validity of survey responses on abortion: Evidence from Estonia. Demography, 31(1), 115–132.

    Article  Google Scholar 

  • Casterline, J. B. (1989). Collecting data on pregnancy loss: A review of evidence from the World Fertility Survey. Studies in Family Planning, 20(2), 81–95.

    Article  Google Scholar 

  • Coeytaux, F., Leonard, A., & Royston, E. (Eds.). (1990). Methodological issues in abortion research. A PDR Supplement: Proceedings of a seminar held in December 1989. New York: Population Council.

    Google Scholar 

  • Henshaw, S. K., & Van Vort, J. (Eds.). (1992). Abortion handbook: Readings, trends, and state and local data to 1988. (1992 ed.). New York: Alan Guttmacher Institute.

    Google Scholar 

  • James, W. H. (1970). The incidence of spontaneous abortion. Population Studies, 24, 241–245.

    Google Scholar 

  • Kerr, M. G. (1971). Prenatal mortality and genetic wastage in man. Journal of Biosocial Science, 3(2), 223–237.

    Article  Google Scholar 

  • Loghi, M., Georgi, P., & Pierannunzio, D. (2008). Negative pregnancy outcomes by gestational age in Italy. Comparing different international definitions. Genus, LXIV(3–4), 83–89.

    Google Scholar 

  • Singh, S. & Wulf, D. (1994). Estimated levels of induced abortion in six Latin American countries. International Family Planning Perspectives, 20(1), 4–13.

    Article  Google Scholar 

  • United Nations (UN). (1996). Consideration of reports submitted by States parties under Article 18 of the convention to eliminate discrimination against women: Initial and second periodic reports of States parties. Belize: Committee on the Elimination of All Forms of Discrimination against Women. CEDAW/C/BLZ/1–2.

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (2007). Fetal and perinatal mortality, United States, 2004. By M. F. MacDorman, M. L. Munson, & S. Kimeyer. National Vital Statistics Reports, 56(3).

    Google Scholar 

  • U.S. National Center for Health Statistics (NCHS). (2009). Estimated pregnancy rates for the United States, 1990–2005: An update. By S. J. Ventura, J. C. Abma, W. D. Mosher, & S. K. Henshaw. National Vital Statistics Reports, 58(4).

    Google Scholar 

  • World Health Organization (WHO). (1970). Spontaneous and induced abortion (Technical report series No. 461). Geneva, Switzerland: World Health Organization.

    Google Scholar 

Family Planning and Sexual Health

  • World Health Organization (WHO). (1992). The prevention and management of unsafe abortion: Report of Technical Working Group (WHO/MSM/92.5). Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • World Health Organizaton (WHO). (1998). Unsafe abortion: Global and regional estimates of incidence of and mortality due to unsafe abortion with a listing of available country data (3rd ed.). Geneva, Switzerland: World Health Organization.

    Google Scholar 

  • Casterline, J. B., & Sinding, S. W. (2007). Unmet need for family planning in developing countries and implications for population policy (Policy Research Division, Working Paper 135). New York: Population Council.

    Google Scholar 

  • Degrées du Loû, A. (1999). Reproductive health and AIDS in sub-Saharan Africa: Problems and prospects. Population, 4, 1998. Population: An English Selection11, 1999, 61–88. Paris, France: INED.

    Google Scholar 

  • de Guibert-Lantoine, C., & Leridon, H. (1999). Contraception in France: An assessment after 30 years of liberalization. Population: An English Selection, 11, 89–114. Paris, France: INED.

    Google Scholar 

  • Frost, J. J., Singh, S. & Finer, L. B. (2007). U.S. women’s one-year contraceptive use patterns, 2004. Perspectives on Sexual and Reproductive Health, 39(1), 48–55.

    Google Scholar 

  • International Union for the Scientific Study of Population (IUSSP). (1975). Measuring the effect of family planning programs on fertility. Liège, Belgium: Ordina Editions.

    Google Scholar 

  • International Union for the Scientific Study of Population (IUSSP). (1984). Survey analysis for the guidance of family planning programs. Liège, Belgium: Ordina Editions.

    Google Scholar 

  • National Academy of Sciences. (1998). Adolescent reproductive behavior in the developing world. Washington, DC: National Academy Press.

    Google Scholar 

  • Potter, R. G. (1966). Application of life table techniques to measurement of contraceptive effectiveness. Demography, 3(2), 297–304.

    Article  Google Scholar 

  • Potter, R. (1967). The multiple-decrement life table as an approach to the measurement of the use-effectiveness and demographic effectiveness of contraception. In Proceedings of the international union for the scientific study of population, 1967, Sydney, Australia.

    Google Scholar 

  • Ross, J. A., Mauldin, W. P., & Miller, V. C. (1993). Family planning and population: A compendium of international statistics (A PDR Supplement). New York: Population Council.

    Google Scholar 

  • Sedgh, G., Hussein, R., Bankole, A., & Singh, S. (2007). Women with an unmet need for contraception in developing countries: Their reasons for not using a method. New York: Guttmacher Institute.

    Google Scholar 

  • U.S. Census Bureau. (2004). Global population profile, 2002 (International population reports WP/02). Washington, DC: U.S. Government Printing Office.

    Google Scholar 

  • U.S. National Center for Health Statistics. (2005). Fertility, family planning, and reproductive health of U.S. women: Data from the 2002 National Survey of Family Growth. By A. Chandra, G. M. Martinez, W. D. Mosher, J. A. Abma, & J. Jones. Vital and Health Statistics, 23(25). Hyattsville, MD: National Center for Health Statistics.

    Google Scholar 

  • United Nations Population Fund (UNFPA). (2004). State of the World, 2004. The Cairo Conference at Ten: Population, reproductive health, and the global effort to end poverty. Geneva, Switzerland:UNFPA.

    Google Scholar 

  • UNAIDS. (2002). Report on the Global HIV/AIDS Epidemic, 2002. Geneva, Switzerland: UNAIDS.

    Google Scholar 

  • UNAIDS. (2007). AIDS Epidemic update: December 2007. Geneva, Switzerland: UN AIDS and WHO.

    Google Scholar 

  • Westoff, C. F. & Bankole, A. (1995). Unmet need: 1990–1994 (DHS comparative studies, No. 16). Calverton, MD: Macro International.

    Google Scholar 

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Siegel, J.S. (2012). Reproductive Health. In: The Demography and Epidemiology of Human Health and Aging. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1315-4_9

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