Child Marriage and Fertility in Bangladesh


Book Description

The relationship between child marriage and fertility can be due in part to the socio-economic and cultural context in which girls who marry early tend to live. But child marriage may also have a direct impact on fertility after controlling for socio-economic and cultural context. Marrying early is often associated with a lack of agency for girls, including in terms of access to family planning that can help delay or reduce births if women so desire. For societies, higher total fertility rates lead to higher population growth, lower growth in gross domestic product (GDP) per capita, slower poverty reduction, and difficulties for governments to provide basic services to a growing population. This brief estimates the impact of child marriage on the number of children that women have over their lifetime in Bangladesh, as part of a series of standardized briefs on this topic for multiple countries.
















Women and Fertility in Bangladesh


Book Description

This Volume Deals With The Hitherto Neglected Interface Between Population Dynamics And The Various Aspects Of The Lives Of Asian Women. It Will Interest Demographers, Sociologists Anthropologists, Psychologists, Social Workers, Economists, Policy-Makers And All Those Concerned With The Status Of Women.







Life Stages, Gender, and Fertility in Bangladesh


Book Description

This pioneering study describes the psychological development and gender role expectations in the various life stages of an individual in Bangladeshi culture and relates these stages to sexual and reproductive behavior. The authors, both anthropologists, examined the topical life histories of 65 male and female respondents from 5 contiguous villages in Matlab Thana. These personal histories form the basis for chapters on stages of life, childhood and psychosexual development, adolescence and gender roles, adulthood and gender roles, sexual relations outside marriage, range of sexual behavior, and reciprocal relationships within the life cycle. Then, fertility is examined from an anthropological perspective in the final chapters on cultural factors and fertility, fertility control and the stages of life, traditional communication and knowledge of sex, and family life education. At least half of the life history respondents expressed support for family planning and modern methods. Maximum fertility is prevented in the 2nd half of women's reproductive years by traditional mechanisms such as self-restraint, absence of spouse, occasional abstention, and rhythm. The use of modern contraception is supported on the grounds of avoiding economic hardship, maintaining mental peace, and leading a happy life. The most useful approach for family planning field workers seems to be to get to know the men of the village in public places, then the older women, and finally the young women, establishing at each stage the confidence and fictive kinship relationship appropriate. In this way, communication is possible without challenging deeply rooted distinctions of gender roles and life stages.







Applying Quantitative Bias Analysis to Epidemiologic Data


Book Description

Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow.