Coitus, the proximate determinant of conception: Inter-country variance in sub-Saharan Africa

被引:22
作者
Brown, MS [1 ]
机构
[1] Univ Manchester, Cathie Marsh Ctr Census & Survey Res, Manchester M13 9PL, Lancs, England
关键词
D O I
10.1017/S0021932000001450
中图分类号
C921 [人口统计学];
学科分类号
摘要
There is a general consensus in the literature that fertility differences between populations can be accounted for by differences in just four key proximate determinants: nuptiality, the postpartum non-susceptible period, contraception and abortion. Natural fecundibility is generally assumed to be constant between populations. This paper puts the theoretical and empirical case for a re-evaluation of that assumption, drawing on the under-utilized data on sexual activity collected in the Demographic Health Surveys (DHSs). Using data for married women in nine African countries, the analysis finds substantial population level differences in mean monthly coital frequency, which, if accurate, suggest an important demographic effect. There is a clear regional patterning to these differences, with levels of activity considerably lower among women in the West African populations included in the study than those from East and southern Africa. For West Africa in particular the data indicate the normality of exceptionally long periods of very infrequent or no intercourse by married women outside the period of postpartum abstinence. The findings challenge prevailing presumptions concerning susceptibility to pregnancy in marriage on which statistics for unmet need for family planning are derived. While doubts are raised over the precision of the sexual activity data used, the paper argues for the need for a greater effort to operationalize the 'proximate determinant of conception', not only for more accurate fertility modelling, but also as a planning tool for a more sensitive provision of family planning services in Africa.
引用
收藏
页码:145 / 159
页数:15
相关论文
共 25 条
[1]  
[Anonymous], WORLD FERTILITY SURV
[2]  
ARNOLD F, 1991, DEMOGRAPHIC HLTH SUR, V2, P785
[3]   COITUS AND CONTRACEPTION - THE UTILITY OF DATA ON SEXUAL INTERCOURSE FOR FAMILY-PLANNING PROGRAMS [J].
BLANC, AK ;
RUTENBERG, N .
STUDIES IN FAMILY PLANNING, 1991, 22 (03) :162-176
[4]   FRAMEWORK FOR ANALYZING PROXIMATE DETERMINANTS OF FERTILITY [J].
BONGAARTS, J .
POPULATION AND DEVELOPMENT REVIEW, 1978, 4 (01) :105-132
[5]  
BONGAARTS J, 1983, BEHAV BIOL FERTILITY
[6]   FERTILITY DECLINE IN AFRICA - A NEW TYPE OF TRANSITION [J].
CALDWELL, JC ;
ORUBULOYE, IO ;
CALDWELL, P .
POPULATION AND DEVELOPMENT REVIEW, 1992, 18 (02) :211-242
[7]  
CALDWELL JC, 1985, REPROD CHANGE DEV CO, P45
[8]   MODEL FERTILITY SCHEDULES - VARIATIONS IN AGE STRUCTURE OF CHILDBEARING IN HUMAN POPULATIONS [J].
COALE, AJ ;
TRUSSELL, TJ .
POPULATION INDEX, 1974, 40 (02) :185-258
[9]   WILL HIV BECOME A MAJOR DETERMINANT OF FERTILITY IN SUB-SAHARAN AFRICA [J].
GREGSON, S .
JOURNAL OF DEVELOPMENT STUDIES, 1994, 30 (03) :650-679
[10]   SOME DATA ON NATURAL FERTILITY [J].
HENRY, L .
EUGENICS QUARTERLY, 1961, 8 (02) :81-&