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Describing time-trends in fertility using maternity history information
Studies on Medical and Population Subjects
|January 1, 1993
Summary
This study examines challenges in tracking family size and birth trends using UK General Household Survey data. The period parity progression approach is most efficient for analyzing maternity histories, despite its complexity.
Area of Science:
- Demography
- Sociology
- Public Health
Background:
- Documenting trends in family size, parity progression, and birth intervals presents methodological challenges.
- Maternity histories are a key data source for fertility analysis, but are prone to biases.
Purpose of the Study:
- To examine problems in documenting fertility trends using maternity history data.
- To discuss methods for removing biases in fertility trend analysis.
- To evaluate different approaches for fertility measurement.
Main Methods:
- Analysis of maternity histories from the 1989 UK General Household Survey.
- Examination of methods to correct for biases in fertility data.
- Comparison of different fertility measurement techniques.
Main Results:
- Various biases can affect the documentation of trends in family size, parity progression, and birth intervals.
- The period parity progression approach is identified as the most efficient method for utilizing maternity history data.
- This approach, while effective, is more complex to implement than alternative methods.
Conclusions:
- Careful consideration of methodological issues is crucial for accurate fertility trend analysis.
- The period parity progression approach offers superior efficiency in analyzing maternity history data.
- Despite its complexity, the period parity progression approach is recommended for comprehensive fertility trend documentation.
Keywords:
Age FactorsBiasBirth IntervalsDemographic FactorsDeveloped CountriesError SourcesEuropeFamily And HouseholdFamily CharacteristicsFamily SizeFertilityFertility MeasurementsMaternal AgeMeasurementMethodological StudiesNorthern EuropeParental AgeParityParity Progression RatioPopulationPopulation CharacteristicsPopulation DynamicsPregnancy HistoryResearch MethodologyTime FactorsUnited Kingdom