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Marriage and mortality: a life table analysis
1International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Journal of Biosocial Science
|January 1, 1990
Summary
In Bangladesh, marriage age and differing male/female mortality significantly impact widowhood. Despite similar life expectancies, widows are ten times more common than widowers due to these factors.
Area of Science:
- Demography
- Sociology
- Public Health
Background:
- Widowhood incidence varies significantly between sexes.
- Socio-cultural factors like age at marriage influence marital status duration.
- Differential mortality rates between males and females are a key demographic concern.
Purpose of the Study:
- To investigate the impact of age at marriage and sex-specific mortality on widowhood incidence in a rural Bangladeshi population.
- To quantify the relationship between life expectancy differences and widowhood rates.
- To identify key determinants of the disparity in widowhood between males and females.
Main Methods:
- Utilized abridged life tables derived from marital status and death registration data.
- Analyzed data from a rural area in Bangladesh spanning the period 1974-1979.
- Calculated life expectancies and probabilities of spousal survival.
Main Results:
- Female life expectancy is 0.4 to 2.2 years greater than male life expectancy.
- Despite similar survival probabilities, widows are approximately ten times more numerous than widowers.
- Age at marriage and spousal age difference are critical factors influencing widowhood rates.
Conclusions:
- Age at marriage and differential mortality are primary drivers of the high incidence of widowhood in the study population.
- The observed disparity in widowhood rates highlights the need for gender-sensitive demographic analysis.
- Policy implications may involve addressing age at marriage and understanding mortality differentials to support widowed populations.
Keywords:
Age FactorsAsiaBangladeshDemographic AnalysisDemographic FactorsDeveloping CountriesDifferential MortalityLength Of LifeLife ExpectancyLife Table MethodLife TablesMarital StatusMarriageMarriage AgeMarriage PatternsMortalityNuptialityPopulationPopulation CharacteristicsPopulation DynamicsResearch MethodologyRural PopulationSex FactorsSouthern AsiaWidowed