| The effect of child mortality on fertility regulation in rural Bangladesh. | |
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MedLine Citation:
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PMID: 9789320 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This study analyzes longitudinal data from Matlab, Bangladesh, to examine the impact of child mortality on subsequent contraceptive acceptance and continuation. The strong negative impact is found to attenuate with family size, indicating a "replacement effect". An "insurance effect" is observed as contraceptive acceptance and continuation were negatively associated with the number of previous deaths of children. Couples seem to find contraceptive use acceptable if the child who dies is one of a large family. Potentially, contraceptive use could be acceptable for spacing after a child in a small family dies. Family planning programs can help to reduce fertility and maternal and child health risks substantially by supplying appropriate methods to those couples who have experienced a young child's death; to be most effective, methods should be supplied immediately after the child's death. |
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Authors:
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M Rahman |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Studies in family planning Volume: 29 ISSN: 0039-3665 ISO Abbreviation: Stud Fam Plann Publication Date: 1998 Sep |
Date Detail:
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Created Date: 1999-01-26 Completed Date: 1999-01-26 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 7810364 Medline TA: Stud Fam Plann Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 268-81 Citation Subset: IM |
Affiliation:
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International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Bangladesh / epidemiology Child, Preschool Contraception / utilization* Developing Countries* Family Characteristics Family Planning Services / utilization Female Humans Infant Infant Mortality* Infant, Newborn Male Patient Acceptance of Health Care / statistics & numerical data Pregnancy Rate Proportional Hazards Models Rural Population / statistics & numerical data* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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