Invisible Men in Family Planning: Determinants of Men's Unmet Need in Bangladesh

Date of Award

Spring 2002

Document Type

Thesis

Degree Name

Master of Arts (MA)

Department

Sociology & Criminal Justice

Program/Concentration

Applied Sociology

Committee Director

Xiushi Yang

Committee Member

Randy R. Gainey

Committee Member

William K. Agyei

Call Number for Print

Special Collections LD4331.S62 K43 2002

Abstract

The prevalence of unmet need for family planning is a primary justification for family planning programs, but the prevalence of men's unmet need for family planning and causes of unmet need have not been much explored. This study introduces the concept of men's unmet need for family planning. Using the data from Bangladesh Demographic and Health Survey of 1996-97, this study examined the effect of some important correlates (age, socio-economic status, availability of the family planning services, and knowledge about contraceptive methods) on the unmet need for family planning. This study was designed to address the research questions: Do individual characteristics affect men's unmet need for family planning? Does availability of the family planning services affect men's unmet need for family planning? Does knowledge about contraceptive methods affect men's unmet need for family planning?

Analyses revealed some important findings. First, individual characteristic (number of children) and availability of the family planning services (visits of family planning workers and methods discussed with family planning workers) affect men's unmet need for family planning at multivariate level in the first model. The model explains 6 percent of variation in having unmet need for family planning. However, individual characteristics, availability of the family planning services, and knowledge about contraceptive methods have significant effects on men's unmet need for family planning at bivariate level. Second, age is the only significant correlates that affect men's unmet need for family planning in the second model. The second model explains 27 percent of the variation of having unmet need for family planning. Implication and direction for future research are also discussed.

Rights

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DOI

10.25777/jyam-xe57

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