Demographic studies enhance the understanding of evolutionarily (mal)adaptive behaviors and phenomena in humans: a review on fertility decline and an integrated model

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Abstract
Recently, statistical analyses of demographic datasets have come to play an important role for studies into the evolution of human life history. In the first part of this paper, I highlight fertility decline, an evolutionarily paradoxical phenomenon in terms of fitness maximization. Then, I conduct a literature review regarding the effects of socioeconomic status on the number of offspring, especially in modern developed, (post‐)industrial, and low‐fertility societies. Although a non‐positive relationship between them has often been recognized as a general feature of fertility decline, there actually exists a great deal of variation. Based on the review, I discuss the association between socioeconomic success and reproductive success, and tackle an evolutionary question as to why people seek higher socioeconomic success that would not directly lead to higher reproductive success. It has been suggested that, in modern competitive environments, parents should set a higher value on their investment in children, and aim to have a smaller number of high‐quality children. Also, parents would maintain higher socioeconomic status for themselves so as to provide high‐levels of investment in their children. In the second part, I broadly consider seemingly evolutionarily (mal)adaptive outcomes besides fertility decline, including child abuse, menopause, and suicide. The integration of the major three approaches to human behavioral and psychological research (behavioral ecology, evolutionary psychology, and cultural evolution) could lead to a deeper understanding. I provide a model for the integrated approach. Rich empirical evidence accumulated in demographic studies, especially longitudinal and cross‐cultural resources, can assist to develop a theoretical framework.
Funding Information
  • Japan Society for the Promotion of Science (13J04635, 25245061)
  • SOKENDAI (The Graduate University for Advanced Studies), Japan (NA)
  • Japan Society for the Promotion of Science (26285128)
  • Professor Takenori Takada (Responsible Editor) (For English editing)

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