Volume 39 - Article 45 | Pages 1227–1240  

Does age-adjusted measurement of contraceptive use better explain the relationship between fertility and contraception?

By Yoonjoung Choi, Madeleine Short Fabic, Jacob Adetunji

Abstract

Background: The typical contraceptive–fertility relationship has not held in some countries witnessing rapid increases in contraceptive uptake. With increasingly more diverse population age structures among developing countries, one explanation may be the different measurement approaches of total fertility rate (TFR), an age-adjusted measure, and contraceptive prevalence rate (CPR), an unadjusted measure.

Objective: To examine whether the association between contraception and fertility has changed over time in less developed settings and whether the relationship is better explained with an age-adjusted measure of contraceptive use.

Methods: Using data from 259 Demographic and Health Surveys, we examine associations between CPR and TFR in two 15-year periods. We then develop age-adjusted CPR and explore the relationship between TFR and unadjusted versus age-adjusted CPR, using linear regression analyses with country-level fixed effects.

Results: A TFR decrease of 1 was associated with a CPR increase of 15.4 percentage points during 1985–2000 and of 17.2 percentage points during 2001–2016. On average, across 259 surveys, age-adjusted CPR was higher than unadjusted CPR by about 3% with significant regional variation. Regression model fit reveals that age-adjusted CPR better explains the CPR–TFR relationship.

Contribution: Age-adjusted CPR addresses varying age structures and age patterns of contraceptive use across populations, facilitating cross-country and cross-temporal comparisons of contraceptive use. Updated demographic shorthand for the CPR–TFR relationship is that a TFR decrease of 1 is associated with a CPR increase of 17 percentage points overall and a 20 percentage point increase in sub-Saharan Africa.

Author’s Affiliation

• Yoonjoung Choi - Johns Hopkins Bloomberg School of Public Health, United States of America EMAIL
• Madeleine Short Fabic - United States Agency for International Development (USAID), United States of America EMAIL
• Jacob Adetunji - United States Agency for International Development (USAID), United States of America EMAIL

Other articles by the same author/authors in Demographic Research

Measuring fertility through mobile‒phone based household surveys: Methods, data quality, and lessons learned from PMA2020 surveys
Volume 38 - Article 55

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Volume 21 - Article 9

Neonatal mortality in the developing world
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