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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...
Life Tables01:22

Life Tables

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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Life Histories

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Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
Infertility in Males01:23

Infertility in Males

Male infertility affects millions of couples worldwide, arising from various factors that impact different stages of the reproductive process. An endocrine imbalance resulting from conditions like hypogonadism, Klinefelter syndrome, or pituitary disorders can disrupt hormone levels and reduce sperm production. Testicular defects, such as tumors, cryptorchidism, atrophic testes, abnormal sperm morphology, and low sperm count or motility, may arise due to genetic factors, structural...
Survival Curves01:18

Survival Curves

Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...

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Measurement of Lifespan in Drosophila melanogaster
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Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Fertility and mortality in Finland since 1750.

O Turpeinen1

  • 1a Institute of History, University of Helsinki , Finland.

Population Studies
|November 15, 2011
PubMed
Summary

Fertility and mortality rates in Finland experienced two major demographic transitions. The second transition, from 1876-1925, saw sharp fertility declines linked to reduced infant mortality, while the first transition

Area of Science:

  • Demography
  • Historical Epidemiology
  • Population Studies

Background:

  • Historical population changes in Finland reveal complex interactions between fertility, mortality, and economic factors.
  • Annual analyses indicate that fluctuations in birth and death rates do not consistently correlate with agricultural success (harvests).

Purpose of the Study:

  • To analyze the development of fertility and mortality in Finland.
  • To examine the interrelations between fertility, mortality, and economic influences.
  • To understand the drivers of the first and second demographic transitions in Finland.

Main Methods:

  • Analysis of annual demographic data from Finland.
  • Correlation analysis between fertility rates, mortality rates (including infant mortality), and economic indicators.

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06:38

Determination of Reproductive Competence by Confirming Pubertal Onset and Performing a Fertility Assay in Mice and Rats

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  • Historical demographic modeling to assess contributing factors.
  • Main Results:

    • Fertility declined slightly in the late 18th/early 19th century and sharply between 1876-1925 (second demographic transition).
    • The sharp fertility decline closely mirrored a decrease in death rates, particularly among infants, suggesting a link.
    • Factors promoting breastfeeding were crucial in reducing infant mortality and driving the first demographic transition.

    Conclusions:

    • The second demographic transition in Finland was significantly influenced by reduced infant mortality.
    • Promoting breastfeeding played a key role in decreasing infant mortality and facilitating the first demographic transition.
    • Evidence suggests the existence of family planning practices in pre-industrial Finland, necessary to explain demographic data compatibility.