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Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Measurement of Lifespan in Drosophila melanogaster
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Published on: January 7, 2013

Life Course Timing of Mortality Exposure and Fertility Behavior.

Lauren Newmyer1, Lisa McAllister2, Nurul Alam3

  • 1Department of Sociology, Bowling Green State University, Bowling Green, USA.

Population Research and Policy Review
|June 5, 2026
PubMed
Summary
This summary is machine-generated.

Family deaths increase fertility quantum but delay fertility tempo. Post-marriage mortality exposure is most influential on women's fertility behavior over their life course.

Keywords:
FertilityHazard modelsMortalityQuantumTempo

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Area of Science:

  • Demography
  • Sociology
  • Population Studies

Background:

  • Mortality and fertility are key drivers of population change.
  • Past research focused on population-level mortality rates, but individual experiences of mortality also shape fertility.
  • The timing of mortality exposure during the life course may uniquely influence fertility behavior.

Purpose of the Study:

  • To investigate the link between family bereavement exposure across different life stages (childhood, adolescence, post-marriage adulthood) and fertility quantum and tempo.
  • To identify critical life course periods for mortality exposure's impact on fertility.
  • To explore how the timing of mortality exposure influences individual fertility decisions.

Main Methods:

  • Utilized detailed data from reproductive-aged women in Matlab, Bangladesh.
  • Analyzed the association between exposure to kin mortality during childhood, adolescence, and post-marriage adulthood.
  • Examined effects on both fertility quantum (total number of children) and fertility tempo (timing of births).

Main Results:

  • Exposure to kin mortality was associated with an increased fertility quantum.
  • Mortality exposure led to a delay in fertility tempo.
  • Mortality exposure during post-marriage adulthood was the most significant period influencing fertility behavior, contradicting expectations of early life influence.

Conclusions:

  • Mortality exposure significantly impacts individual fertility behavior, affecting both the number and timing of births.
  • The timing of mortality exposure, particularly in adulthood, is crucial for understanding its effect on fertility.
  • Life course analyses reveal that post-marriage mortality exposure has a stronger influence on fertility than early-life exposure.