This paper examines the changing patterns of knowledge, attitude and use of traditional methods of contraception, compared to modern methods, over the last five contraceptive prevalence surveys in Bangladesh (1981–91). The results show that knowledge of at least one method of family planning is universal in Bangladesh and usage is higher at all ages for women who are using modern methods than for those who are using traditional methods. Educated women and those in employment are more likely to use modern contraceptive methods.

This study examines the relationship between family planning, perceived availability of contraceptives, and sociodemographic factors in rural Bangladesh. Data are from the 1990 KAP survey in the Matlab treatment and comparison areas, using a sample of about 8500 married women of reproductive age. The contraceptive prevalence rate was 57% in the treatment area but substantially lower in the comparison area where mainly traditional methods of family planning were used by women who did not know of a source of supply of contraceptives. Education has no effect on contraceptive use in the treatment area but in the comparison area, modest but consistent differentials in use by level of education were found. Number of living children is the best predictor for contraceptive use, followed by number of living sons, and the attitude of respondents and their husbands towards family planning.

This study examines the role of marriage form in infant mortality and tests the relative effects and mechanisms through which polygyny affects infant survival. A sample of infants born in the 5 years preceding the 1988 Ghana Demographic and Health Survey was used. A causal model was constructed and polygyny was found to be an important mediating factor in understanding infant survival. The findings highlight the relevance of family structure (polygyny) as an intervening factor, but also reveal the complex role of ethnicity, dietary supplement and birth interval in accounting for infant survival.

A study in Bangladesh showed that the probability of use of modern contraception by eligible family members of a household increases significantly if the household head himself is a user. Multinomial logistic regression showed that contraceptive use was also significantly related with maternal age, parity, education, socioeconomic status and experience of child mortality. Inclusion of ever use of modern contraceptives by the family head or his wife, showed family head's religiosity to be a significant predictor of use, apart from his age and parity, and after controlling for socioeconomic correlates.

Consanguineous marriages in two population samples, one rural and one urban, from Swat (Pakistan) were studied. The frequency of consanguineous marriages was found to be 37·13% and 31·11%, and mean inbreeding coefficients were calculated as 0·0168 and 0·0162, for the rural and urban populations respectively. The most frequent type of marriage was between first cousins, in both samples. Among first cousin marriages, those with father's brother's daughter were predominant. Mean inbreeding coefficient was higher for higher socioeconomic groups in both samples. Differences by ethnic and educational groups were also found. Contrary to previous studies, a significant increase in the incidence of consanguineous marriages over the years has been observed. The incidence of premature mortality was significantly higher only in the offspring of first cousin marriages. Significantly higher incidence of morbidity in the offspring of consanguineous marriages was also observed.

Using a cross-sectional sample of 1147 urban adolescents, aged between 14 and 20 years, the variability of some menstrual cycle indicators was related to weight loss. Nearly 40% of the adolescents tried to lose weight and the results showed that attempting to lose weight is significantly associated with increased prevalence of menstrual irregularity and menstrual pain. This finding is independent of body mass index.

This study uses Bongaarts' model to examine the relative contributions of three proximate determinants (non-marriage, contraceptive use and postpartum infecundability) to fertility change using data from the 1984 and 1988 Botswana Family and Health Surveys. Breast-feeding is shown to be the most important proximate determinant of fertility, followed by contraceptive use, and finally non-marriage, both in 1984 and 1988. However, contraceptive use increased between 1984 and 1988, leading to fertility decline over this period. Marriage is the least important proximate determinant of fertility, probably due to the high prevalence of premarital childbearing. Other factors such as induced abortion could have played a major role in the fertility decline but their effect could not be estimated due to lack of accurate data.

This case-control study was undertaken to determine socio-demographic risk factors for low birth weight in Al-Ain (United Arab Emirates) over a 12-month period in 1992–93. A total of 3485 live births occurred of which 293 (8·4%) were low birth weight. The risk factors considered were mother's occupation, house conditions, place of residence (urban or rural), maternal smoking habits, antenatal care, availability of help in the home, maternal BMI and educational status. Multiple logistic regression analysis showed that mother's occupation, maternal smoking, antenatal care, and lack of help in the home were associated with increased risk of low birth weight.

Some social and economic factors related to breast-feeding durations in Tanzania are analysed using current status data taken from the 1991–92 Tanzanian Demographic and Health Survey. Proportional hazards and proportional odds models are estimated. The results show that breast-feeding durations vary according to the region of residence of the mother and child (and whether they are living in a rural or an urban area), the age of the mother at the time of the birth, the order of the birth, and the mother's religion.

Son preference is strong in Vietnam, according to attitudinal surveys and studies of contraceptive prevalence and birth hazards. These techniques assume a single model is valid for all families, but it is more plausible that son preference is found for some, but not all, families. Heterogeneous preferences may be addressed with a mixture model. This paper specifies and estimates a two-Weibull regression model, applied to the interval between the second and third births. The data come from the Vietnam Living Standards Survey of 1992–93. Applying information criteria, graphs, and martingale-based residuals, the two-Weibull model is found to fit better than a one-Weibull model. Roughly half of parents have son preference and, curiously, a propensity for fewer children. The other group has more children, no son preference, and is colourless in the sense that the birth interval is difficult to predict on the basis of the regressors used.

The timing of births and marriages in Vietnam appears to have some statistically significant relationships with the signs of the Chinese and Vietnamese astrological calendars. Years considered to be good years have significantly more births and marriages than years that are not considered as desirable. Births and marriages also have some significant variations with seasons of the year. Infant deaths do not appear to have any significant relationships with the astrological signs although infant mortality has some significant relationships with seasons of the year. The findings indicate that there is some purposeful planning for marriages and births to coincide with optimal times defined in the astrological calendars.