Genes, Environments, and Differential Susceptibility Current Topics in Evolutionary Developmental Psychology
Book contents
- Genes, Environments, and Differential Susceptibility
- Genes, Environments, and Differential Susceptibility
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Introduction
- Part I Historical Background and Theoretical Foundations of Jay Belsky’s Work in Evolutionary Developmental Psychology
- Chapter 1 How Belsky’s Model of Child Abuse Has Transformed Scientific Understanding, Clinical Practice, and Public Policy
- Chapter 2 A Turning Point for the Life History Approach to Individual Differences
- Chapter 3 Individual Differences in Response to the Environment
- Part II Parent–Child Relations and Attachment
- Part III Life-Course Development from Prenatal Environment through Childhood to Adulthood
- Part IV Differential Susceptibility to Environmental Influences
- Conclusion
- Afterword
- Biography of Jay Belsky
- Index
- References
Chapter 2 - A Turning Point for the Life History Approach to Individual Differences
from Part I - Historical Background and Theoretical Foundations of Jay Belsky’s Work in Evolutionary Developmental Psychology
Published online by Cambridge University Press: 04 September 2025
Edited by
Book contents
- Genes, Environments, and Differential Susceptibility
- Genes, Environments, and Differential Susceptibility
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Introduction
- Part I Historical Background and Theoretical Foundations of Jay Belsky’s Work in Evolutionary Developmental Psychology
- Chapter 1 How Belsky’s Model of Child Abuse Has Transformed Scientific Understanding, Clinical Practice, and Public Policy
- Chapter 2 A Turning Point for the Life History Approach to Individual Differences
- Chapter 3 Individual Differences in Response to the Environment
- Part II Parent–Child Relations and Attachment
- Part III Life-Course Development from Prenatal Environment through Childhood to Adulthood
- Part IV Differential Susceptibility to Environmental Influences
- Conclusion
- Afterword
- Biography of Jay Belsky
- Index
- References
Summary
The life history approach to individual differences has become a major influence in evolutionary psychology, not least thanks to the contributions made by Jay Belsky and his collaborators over the last three decades. Today the approach is at a turning point, with a lively dialectic between proponents and critics and a menu of theoretical and empirical challenges to address. In this chapter, I follow up on previous work and continue to critically examine the concepts and assumptions of the “fast-slow paradigm” in evolutionary psychology. Specifically, I try to clarify some aspects of the interplay between the demographic and psychological levels of analysis, make an updated case for the centrality of the mating–parenting tradeoff in the organization of life history-related traits, describe the constellations formed by those traits, introduce the notion of multiple fast/slow profiles, and (re)consider the role of puberty timing in relation to human life history strategies. Preserving the value of the life history approach demands that we work to keep the foundations healthy – constantly revising our concepts and assumptions, in the spirit of Jay’s remarkable scientific career.
Keywords
Information
- Type
- Chapter
- Information
- Genes, Environments, and Differential SusceptibilityCurrent Topics in Evolutionary Developmental Psychology, pp. 28 - 57Publisher: Cambridge University PressPrint publication year: 2025
References
Anderson, K. G. (2010). Life expectancy and the timing of life history events in developing countries. Human Nature, 21, 103–123.CrossRefGoogle Scholar
Anderson, C. A., Duffy, D. L., Martin, N. G., & Visscher, P. M. (2007). Estimation of variance components for age at menarche in twin families. Behavior genetics, 37, 668–677.CrossRefGoogle ScholarPubMed
Ardissino, M., Slob, E. A., Carter, P., Rogne, T., Girling, J., Burgess, S., & Ng, F. S. (2023). Sex‐specific reproductive factors augment cardiovascular disease risk in women: A Mendelian randomization study. Journal of the American Heart Association, 12, e027933.CrossRefGoogle ScholarPubMed
Arnocky, S., Desrochers, J., Rotella, A., Albert, G., Hodges-Simeon, C., Locke, A., … & Kelly, B. (2021). Men’s mate value correlates with a less restricted sociosexual orientation: A meta-analysis. Archives of Sexual Behavior, 50, 3663–3673.CrossRefGoogle ScholarPubMed
Baams, L., Dubas, J. S., Overbeek, G., & Van Aken, M. A. (2015). Transitions in body and behavior: A meta-analytic study on the relationship between pubertal development and adolescent sexual behavior. Journal of Adolescent Health, 56, 586–598.CrossRefGoogle Scholar
Barban, N., Jansen, R., De Vlaming, R., Vaez, A., Mandemakers, J. J., Tropf, F. C., … & Hopper, J. (2016). Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, 48, 1462–1472.CrossRefGoogle ScholarPubMed
Batres, C., & Perrett, D. I. (2016). Early menarche is associated with preference for masculine male faces and younger preferred age to have a first child. Evolutionary Psychology, 14, 1474704916637876.CrossRefGoogle Scholar
Behboudi-Gandevan, S., Moe, C. F., Skjesol, I., Arntzen, E. C., & Bidhendi-Yarandi, R. (2024). The J shaped association of age at menarche and cardiovascular events: Systematic review and meta-analysis. Scientific Reports, 14, 2695.CrossRefGoogle Scholar
Belsky, J. (2007). Experience in childhood and the development of reproductive strategies. Acta Psychologica Sinica, 39, 454–468.Google Scholar
Belsky, J. (2012). The development of human reproductive strategies: Progress and prospects. Current Directions in Psychological Science, 21, 310–316.CrossRefGoogle Scholar
Belsky, J. (2019). Early-life adversity accelerates child and adolescent development. Current Directions in Psychological Science, 28, 241–246.CrossRefGoogle Scholar
Belsky, J., Schlomer, G. L., & Ellis, B. J. (2012). Beyond cumulative risk: Distinguishing harshness and unpredictability as determinants of parenting and early life history strategy. Developmental Psychology, 48, 662–673.CrossRefGoogle ScholarPubMed
Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal de- velopment, and reproductive strategy: An evolutionary theory of socialization. Child Development, 62, 647–670.CrossRefGoogle Scholar
Belsky, J., Steinberg, L., Houts, R. M., Halpern-Felsher, B. L., & NICHD Early Child Care Research Network. (2010). The development of reproductive strategy in females: Early maternal harshness → earlier menarche → increased sexual risk taking. Developmental Psychology, 46, 120–128.CrossRefGoogle ScholarPubMed
Black, C. J., Figueredo, A. J., & Jacobs, W. J. (2017). Substance, history, and politics: An examination of the conceptual underpinnings of alternative approaches to the life history narrative. Evolutionary Psychology, 15, 1474704916670402.CrossRefGoogle Scholar
Bolund, E. (2020). The challenge of measuring trade-offs in human life history research. Evolution and Human Behavior, 41, 502–512.CrossRefGoogle Scholar
Borgerhoff Mulder, M. (1989). Early maturing Kipsigis women have higher reproductive success than late maturing women and cost more to marry. Behavioral Ecology and Sociobiology, 24, 145–153.CrossRefGoogle Scholar
Borgerhoff Mulder, M. (2009). Serial monogamy as polygyny or polyandry? Human Nature, 20, 130–150.CrossRefGoogle ScholarPubMed
Borgerhoff Mulder, M., & Ross, C. T. (2019). Unpacking mating success and testing Bateman’s principles in a human population. Proceedings of the Royal Society of London B, 286, 20191516.Google Scholar
Borgerhoff Mulder, M., Towner, M. C., Baldini, R., Beheim, B. A., Bowles, S., Colleran, H., … & Scelza, B. A. (2019). Differences between sons and daughters in the intergenerational transmission of wealth. Philosophical Transactions of the Royal Society of London B, 374, 20180076.CrossRefGoogle ScholarPubMed
Braendle, C., Heyland, F., & Flatt, T. (2011). Integrating mechanistic and evolutionary analysis of life history variation. In Flatt, T., & Heyland, F. (Eds), Mechanisms of life history evolution. The genetics and physiology of life history traits and trade-offs (pp. 3–10). Oxford University Press.CrossRefGoogle Scholar
Bulley, A., & Pepper, G. V. (2017). Cross-country relationships between life expectancy, intertemporal choice and age at first birth. Evolution and Human Behavior, 38, 652–658.CrossRefGoogle Scholar
Burton Jones, N. (2016). Demography and evolutionary ecology of Hadza hunter-gatherers. Cambridge University Press.Google Scholar
Carlson, M. D., Mendle, J., & Harden, K. P. (2014). Early adverse environments and genetic influences on age at first sex: Evidence for gene × environment interaction. Developmental Psychology, 50, 1532–1542.CrossRefGoogle ScholarPubMed
Charalampopoulos, D., McLoughlin, A., Elks, C. E., & Ong, K. K. (2014). Age at menarche and risks of all-cause and cardiovascular death: A systematic review and meta-analysis. American Journal of Epidemiology, 180, 29–40.CrossRefGoogle Scholar
Chisholm, J. S. (1993). Death, hope, and sex: Life-history theory and the development of reproductive strategies. Current Anthropology, 34, 1–24.CrossRefGoogle Scholar
Chisholm, J. S. (1999). Death, hope, and sex: Steps to an evolutionary ecology of mind and morality. Cambridge University Press.CrossRefGoogle Scholar
Clark, D. A., Durbin, C. E., Iacono, W. G., McGue, M., & Hicks, B. M. (2021). personality and sexual development in adolescence: Selection, corresponsive effects, and genetic and environmental influences. PsyArXiv, https://doi.org/10.31234/osf.io/s92c3CrossRefGoogle Scholar
Colich, N. L., Rosen, M. L., Williams, E. S., & McLaughlin, K. A. (2020). Biological aging in childhood and adolescence following experiences of threat and deprivation: A systematic review and meta-analysis. Psychological Bulletin, 146, 721–764.CrossRefGoogle ScholarPubMed
Copping, L. T., Campbell, A., & Muncer, S. (2014a). Conceptualizing time preference: A life-history analysis. Evolutionary Psychology, 12, 829–847.CrossRefGoogle ScholarPubMed
Copping, L. T., Campbell, A., & Muncer, S. (2014b). Psychometrics and life history strategy: The structure and validity of the high K strategy scale. Evolutionary Psychology, 12, 200–222.CrossRefGoogle Scholar
Copping, L. T., & Richardson, G. B. (2020). Studying sex differences in psychosocial life history indicators. Evolutionary Psychological Science, 6, 47–59.CrossRefGoogle Scholar
Corbett, S., Courtiol, A., Lummaa, V., Moorad, J., & Stearns, S. (2018). The transition to modernity and chronic disease: Mismatch and natural selection. Nature Reviews Genetics, 19, 419–430.CrossRefGoogle ScholarPubMed
Creswell, K. G., Wright, A. G., Flory, J. D., Skrzynski, C. J., & Manuck, S. B. (2019). Multidimensional assessment of impulsivity-related measures in relation to ex- ternalizing behaviors. Psychological Medicine, 49, 1678–1690.CrossRefGoogle Scholar
Del Giudice, M. (2009). Sex, attachment, and the development of reproductive strategies. Behavioral and Brain Sciences, 32, 1–21.CrossRefGoogle ScholarPubMed
Del Giudice, M. (2018). Evolutionary psychopathology: A unified approach. Oxford University Press.CrossRefGoogle Scholar
Del Giudice, M. (2020). Rethinking the fast-slow continuum of individual differences. Evolution and Human Behavior, 41, 536–549.CrossRefGoogle Scholar
Del Giudice, M. (2021). Are we comparing apples or squared apples? The proportion of explained variance exaggerates differences between effects. OpenPsych. https://doi.org/10.26775/OP.2021.06.15CrossRefGoogle Scholar
Del Giudice, M. (2023a). A general motivational architecture for human and animal personality. Neuroscience and Biobehavioral Reviews, 144, 104967.CrossRefGoogle ScholarPubMed
Del Giudice, M. (2023b). Motivation, emotion, and personality: Steps to an evolutionary synthesis. PsyArXiv. https://doi.org/10.31234/osf.io/3ry7bCrossRefGoogle Scholar
Del Giudice, M., & Belsky, J. (2010). Sex differences in attachment emerge in middle childhood: An evolutionary hypothesis. Child Development Perspectives, 4, 97–105.CrossRefGoogle Scholar
Del Giudice, M., & Belsky, J. (2011). The development of life history strategies: Toward a multi-stage theory. In Buss, D. M. & Hawley, P. H. (Eds), The evolution of personality and individual differences (pp. 154–176). Oxford University Press.Google Scholar
Del Giudice, M., Gangestad, S. W., & Kaplan, H. S. (2015). Life history theory and evolutionary psychology. In Buss, D. M. (Ed), The handbook of evolutionary psychology – Vol 1: Foundations (pp. 88–114, 2nd ed.). Wiley.Google Scholar
Del Giudice, M., & Haltigan, J. D. (2023). An integrative evolutionary framework for psychopathology. Development and Psychopathology, 35, 1–11.CrossRefGoogle ScholarPubMed
Denissen, J. J., & Penke, L. (2008). Motivational individual reaction norms underlying the five-factor model of personality: First steps towards a theory-based conceptual framework. Journal of Research in Personality, 42, 1285–1302.CrossRefGoogle Scholar
Dinh, T., & Gangestad, S. W. (2024). Mating fast and slow? Sociosexual orientations are not reflective of life history trajectories. Evolution and Human Behavior, 45, 27–40.CrossRefGoogle Scholar
Dinh, T., Haselton, M. G., & Gangestad, S. W. (2022). “Fast” women? The effects of childhood environments on women’s developmental timing, mating strategies, and reproductive outcomes. Evolution and Human Behavior, 43, 133–146.CrossRefGoogle Scholar
Dunbar, R. I. M. (1995). The mating system of callitrichid primates: I. Conditions for the coevolution of pair bonding and twinning. Animal Behaviour, 50, 1057–1070.CrossRefGoogle Scholar
Ellis, B. J. (2004). Timing of pubertal maturation in girls: An integrated life history approach. Psychological Bulletin, 130, 920–958.CrossRefGoogle ScholarPubMed
Ellis, B. J., Reid, B. M., & Kramer, K. L. (in preparation). Two tiers, not one: Different sources of extrinsic mortality have opposing effects on life history traits.Google Scholar
Frankenhuis, W. E., & Nettle, D. (2020). Current debates in human life history research. Evolution and Human Behavior, 41, 469–473.CrossRefGoogle Scholar
Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137, 201–225.CrossRefGoogle ScholarPubMed
Fromonteil, S., Marie-Orleach, L., Winkler, L., & Janicke, T. (2023). Sexual selection in females and the evolution of polyandry. PLoS Biology, 21, e3001916.CrossRefGoogle ScholarPubMed
Galizzi, M. M., & Navarro-Martínez, D. (2018). On the external validity of social preference games: A systematic lab-field study. Management Science, 65, 976–1002.CrossRefGoogle Scholar
Glass, D. J., Geerkens, J. T., & Martin, M. A. (2022). Psychosocial and energetic factors on human female pubertal timing: A systematized review. Evolutionary Human Sciences, 4, e28.CrossRefGoogle ScholarPubMed
Goodman, M. J., Estioko-Griffin, A., Griffin, P. B., & Grove, J. S. (1985). Menarche, pregnancy, birth spacing and menopause among the Agta women foragers of Cagayan Province, Luzon, the Philippines. Annals of Human Biology, 12, 169–177.CrossRefGoogle ScholarPubMed
Gutiérrez, F., Peri, J. M., Baillès, E., Sureda, B., Gárriz, M., Vall, G., … & Ruiz Rodríguez, J. (2022). A double-track pathway to fast strategy in humans and its personality correlates. Frontiers in Psychology, 13, 889730.CrossRefGoogle ScholarPubMed
Hartemink, N., & Caswell, H. (2018). Variance in animal longevity: Contributions of heterogeneity and stochasticity. Population Ecology, 60, 89–99.CrossRefGoogle ScholarPubMed
Hartman, S., Sung, S., Simpson, J. A., Schlomer, G. L., & Belsky, J. (2018). Decomposing environmental unpredictability in forecasting adolescent and young adult development: A two-sample study. Development and Psychopathology, 30, 1321–1332.CrossRefGoogle Scholar
Henrich, J., & Gil-White, F. J. (2001). The evolution of prestige: Freely conferred deference as a mechanism for enhancing the benefits of cultural transmission. Evolution and Human Behavior, 22, 165–196.CrossRefGoogle ScholarPubMed
Hochberg, Z. E., Gawlik, A., & Walker, R. S. (2011). Evolutionary fitness as a function of pubertal age in 22 subsistence-based traditional societies. International journal of pediatric endocrinology, 2011, 1–7.CrossRefGoogle ScholarPubMed
Hollis, B., Day, F. R., Busch, A. S., Thompson, D. J., Soares, A. L. G., Timmers, P. R., … & Wilson, C. H. (2020). Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan. Nature Communications, 11, 1536.CrossRefGoogle ScholarPubMed
Holtzman, N. S., & Strube, M. J. (2013). Above and beyond short-term mating, long-term mating is uniquely tied to human personality. Evolutionary Psychology, 11, 147470491301100514.CrossRefGoogle ScholarPubMed
Hur, Y. M., Jin, H. J., & Lee, S. (2019). Heritability of age at menarche in South Korean female twins. Twin Research and Human Genetics, 22, 183–186.CrossRefGoogle ScholarPubMed
Ibitoye, M., Choi, C., Tai, H., Lee, G., & Sommer, M. (2017). Early menarche: A systematic review of its effect on sexual and reproductive health in low-and middle-income countries. PLoS One, 12, e0178884.CrossRefGoogle ScholarPubMed
James, J., & Ellis, B. J. (2013). The development of human reproductive strategies: Toward an integration of life history and sexual selection models. In Simpson, J. A. & Campbell, L. (Eds), The Oxford handbook of close relationships (pp. 771–794). Oxford University Press.Google Scholar
Jones, J. H. (2015). Resource transfers and life history evolution. Annual Review of Anthropology, 44, 513–531.CrossRefGoogle Scholar
Karlsson Linnér, R., Mallard, T. T., Barr, P. B., Sanchez-Roige, S., Madole, J. W., Driver, M. N., … & Dick, D. M. (2021). Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nature Neuroscience, 24, 1367–1376.CrossRefGoogle ScholarPubMed
Kirk, K. M., Blomberg, S. P., Duffy, D. L., Heath, A. C., Owens, I. P., & Martin, N. G. (2001). Natural selection and quantitative genetics of life‐history traits in western women: A twin study. Evolution, 55, 423–435.Google ScholarPubMed
Kwon, E., Aalsma, M. C., Zapolski, T. C., Monahan, P. O., & Hulvershorn, L. (2023). Impulsivity as a predictor of early dating initiation in 11–12-year-old youth. Archives of Sexual Behavior, 52, 1435–1443.CrossRefGoogle ScholarPubMed
Lawn, R. B., Sallis, H. M., Wootton, R. E., Taylor, A. E., Demange, P., Fraser, A., … & Munafò, M. R. (2020). The effects of age at menarche and first sexual intercourse on reproductive and behavioural outcomes: a Mendelian randomization study. PLoS One, 15, e0234488.CrossRefGoogle ScholarPubMed
Leeman, R. F., Rowland, B. H., Gebru, N. M., & Potenza, M. N. (2018). Relationships among impulsive, addictive and sexual tendencies and behaviours: A systematic re- view of experimental and prospective studies in humans. Philosophical Transactions of the Royal Society of London B, 374, 20180129.CrossRefGoogle Scholar
Liang, Z., Ma, H., Song, Q., Sun, D., Zhou, T., Heianza, Y., … & Qi, L. (2021). Joint associations of actual age and genetically determined age at menarche with risk of mortality. JAMA Network Open, 4, e2115297–e2115297.CrossRefGoogle ScholarPubMed
Lopez-Guzman, S., Konova, A. B., Louie, K., & Glimcher, P. W. (2018). Risk preferences impose a hidden distortion on measures of choice impulsivity. PLoS One, 13, e0191357.CrossRefGoogle ScholarPubMed
Low, B. S., Parker, N., Hazel, A., & Welch, K. B. (2013). Life expectancy, fertility, and women’s lives: A life-history perspective. Cross-Cultural Research, 47, 198–225.CrossRefGoogle Scholar
Lozano-Esparza, S., Jansen, E. C., Hernandez-Ávila, J. E., Zamora-Muñoz, S., Stern, D., & Lajous, M. (2021). Menarche characteristics in association with total and cause-specific mortality: A prospective cohort study of Mexican teachers. Annals of Epidemiology, 62, 59–65.CrossRefGoogle ScholarPubMed
Magnus, M. C., Guyatt, A. L., Lawn, R. B., Wyss, A. B., Trajanoska, K., Küpers, L. K., … & Fraser, A. (2020). Identifying potential causal effects of age at menarche: a Mendelian randomization phenome-wide association study. BMC Medicine, 18, 1–17.CrossRefGoogle ScholarPubMed
Manson, J. H. (2017). Are extraversion and openness indicators of a slow life history strategy? Evolution and Human Behavior, 38, 552–560.CrossRefGoogle Scholar
Manson, J. H., & Kruger, D. J. (2022). Network analysis of psychometric life history indicators. Evolution and Human Behavior, 43, 197–211.CrossRefGoogle Scholar
Marlowe, F. (2001). Male contribution to diet and female reproductive success among foragers. Current Anthropology, 42, 755–759.CrossRefGoogle Scholar
Martin, J. S., Ringen, E. J., Duda, P., & Jaeggi, A. V. (2020). Harsh environments promote alloparental care across human societies. Proceedings of the Royal Society B, 287, 20200758.CrossRefGoogle ScholarPubMed
Međedović, J. (2021). Phenotypic signals of sexual selection and fast life history dynamics for the long-term but not short-term mating. Evolutionary Psychology, 19, 14747049211057158.CrossRefGoogle Scholar
Međedović, J. (2022). The position of body mass in a network of human life history indicators. Psihologijske Teme, 31, 403–425.CrossRefGoogle Scholar
Mike, A., King, H., Oltmanns, T. F., & Jackson, J. J. (2018). Obsessive, compulsive, and conscientious? The relationship between OCPD and personality traits. Journal of Personality, 86, 952–972.CrossRefGoogle ScholarPubMed
Mills, M. C., Tropf, F. C., Brazel, D. M., van Zuydam, N., Vaez, eQTLGen Consortium… & Zhao, J. H. (2021). Identification of 371 genetic variants for age at first sex and birth linked to externalising behaviour. Nature Human Behaviour, 5, 1717–1730.CrossRefGoogle ScholarPubMed
Mõttus, R., Allik, J., & Realo, A. (2010). An attempt to validate national mean scores of Conscientiousness: No necessarily paradoxical findings. Journal of Research in Personality, 44, 630–640.CrossRefGoogle Scholar
Murray, C. M., Stanton, M. A., Lonsdorf, E. V., Wroblewski, E. E., & Pusey, A. E. (2016). Chimpanzee fathers bias their behaviour towards their offspring. Royal Society Open Science, 3, 160441.CrossRefGoogle ScholarPubMed
Nettle, D., & Frankenhuis, W. E. (2019). The evolution of life-history theory: A bibliometric analysis of an interdisciplinary research area. Proceedings of the Royal Society of London B, 286, 20190040.Google ScholarPubMed
Nettle, D., & Pollet, T. V. (2008). Natural selection on male wealth in humans. The American Naturalist, 172, 658–666.CrossRefGoogle ScholarPubMed
Olesen, T. B., Jensen, K. E., Nygård, M., Tryggvadottir, L., Sparén, P., Hansen, B. T., … & Kjær, S. K. (2012). Young age at first intercourse and risk-taking behaviours—a study of nearly 65000 women in four Nordic countries. European Journal of Public Health, 22, 220–224.CrossRefGoogle Scholar
Padrutt, E. R., Harper, J., Schaefer, J. D., Nelson, K. M., McGue, M., Iacono, W. G., & Wilson, S. (2023). Pubertal timing and adolescent outcomes: Investigating explanations for associations with a genetically informed design. Journal of Child Psychology and Psychiatry, 64, 1232–1241.CrossRefGoogle ScholarPubMed
Pascual, J., García‐Moro, C. E., & Hernández, M. (2005). Biological and behavioral determinants of fertility in Tierra del Fuego. American Journal of Physical Anthropology, 127, 105–113.CrossRefGoogle ScholarPubMed
Peipert, J. F., Zhao, Q., Meints, L., Peipert, B. J., Redding, C. A., & Allsworth, J. E. (2011). Adherence to dual-method contraceptive use. Contraception, 84, 252–258.CrossRefGoogle ScholarPubMed
Placek, C. D., & Quinlan, R. J. (2012). Adolescent fertility and risky environments: A population-level perspective across the lifespan. Proceedings of the Royal Society of London B, 279, 4003–4008.Google ScholarPubMed
Pollet, T. V., Tybur, J. M., Frankenhuis, W. E., & Rickard, I. J. (2014). What can cross-cultural correlations teach us about human nature? Human Nature, 25, 410–429.CrossRefGoogle ScholarPubMed
Prati, G., & Tomasetto, C. (2022). Early pubertal development and deviant behavior: A three-year longitudinal study among early adolescents. Personality and Individual Differences, 193, 111621.CrossRefGoogle Scholar
Prince, C., Sharp, G. C., Howe, L. D., Fraser, A., & Richmond, R. C. (2022). The relationships between women’s reproductive factors: A Mendelian randomisation analysis. BMC Medicine, 20, 103.CrossRefGoogle ScholarPubMed
Provenzano, D. A., Dane, A. V., Farrell, A. H., Marini, Z. A., & Volk, A. A. (2018). Do bullies have more sex? The role of personality. Evolutionary Psychological Science, 4, 221–232.CrossRefGoogle Scholar
Quinlan, R. J. (2006). Human parental effort and environmental risk. Proceedings of the Royal Society B, 274, 121–125.CrossRefGoogle Scholar
Quinlan, R. J., & Quinlan, M. B. (2007). Evolutionary ecology of human pair-bonds: Cross-cultural tests of alternative hypotheses. Cross-Cultural Research, 41, 149–169.CrossRefGoogle Scholar
Raj, A., Ghule, M., Nair, S., Saggurti, N., Balaiah, D., & Silverman, J. G. (2015). Age at menarche, education, and child marriage among young wives in rural Maharashtra, India. International Journal of Gynaecology and Obstetrics, 131, 103–104.CrossRefGoogle ScholarPubMed
Reiches, M. W. (2019). Adolescence as a biocultural life history transition. Annual Review of Anthropology, 48, 151–168.CrossRefGoogle Scholar
Richardson, G. B., Barbaro, N., Nedelec, J. L., & Liu, H. (2023). Testing environmental effects on age at menarche and sexual debut within a genetically informative twin design. Human Nature, 34, 324–356.CrossRefGoogle ScholarPubMed
Richardson, G. B., Bates, D., Ross, A., Liu, H., & Boutwell, B. B. (2024). Is reproductive development adaptively calibrated to early experience? Evidence from a national sample of females. Developmental Psychology, 60, 306–321.CrossRefGoogle ScholarPubMed
Richardson, G. B., Placek, C., Srinivas, V., Jayakrishna, P., Quinlan, R., & Madhivanan, P. (2020). Environmental stress and human life history strategy development in rural and peri-urban South India. Evolution and Human Behavior, 41, 244–252.CrossRefGoogle Scholar
Richmond‐Rakerd, L. S., Moffitt, T. E., Arseneault, L., Belsky, D. W., Connor, J., Corcoran, D. L., … & Caspi, A. (2020). A polygenic score for age‐at‐first‐birth predicts disinhibition. Journal of Child Psychology and Psychiatry, 61, 1349–1359.CrossRefGoogle ScholarPubMed
Roff, D. A., & Fairbairn, D. J. (2007). The evolution of trade-offs: Where are we? Journal of Evolutionary Biology, 20, 433–447.CrossRefGoogle ScholarPubMed
Rosenbaum, S., & Silk, J. B. (2022). Pathways to paternal care in primates. Evolutionary Anthropology, 31, 245–262.CrossRefGoogle ScholarPubMed
Rottenstreich, M., Loitner, L., Dar, S., Kedem, R., Smorgick, N., & Vaknin, Z. (2017). Unintended pregnancies among women serving in the Israeli military. Contraception, 96, 62–65.Google ScholarPubMed
SadrAzar, A., Sanaie, S., Tutunchi, H., Sheikh, B., Faramarzi, E., & Jourabchi-Ghadim, N. (2023). Is early age at menarche associated with multimorbidity? Findings from the Azar Cohort Study. European Journal of Obstetrics & Gynecology and Reproductive Biology, 287, 46–51.CrossRefGoogle ScholarPubMed
Šaffa, G., Kubicka, A. M., Hromada, M., & Kramer, K. L. (2019). Is the timing of menarche correlated with mortality and fertility rates? PLoS One, 14, e0215462.CrossRefGoogle Scholar
Scelza, B. A. (2013). Choosy but not chaste: Multiple mating in human females. Evolutionary Anthropology, 22, 259–269.CrossRefGoogle Scholar
Schmitt, D. P. (2005). Sociosexuality from Argentina to Zimbabwe: A 48-nation study of sex, culture, and strategies of human mating. Behavioral and Brain Sciences, 28, 247–275.CrossRefGoogle ScholarPubMed
Sear, R. (2020). Do human ‘life history strategies’ exist? Evolution and Human Behavior, 41, 513–526.CrossRefGoogle Scholar
Sibly, R. M., Witt, C. C., Wright, N. A., Venditti, C., Jetz, W., & Brown, J. H. (2012). Energetics, lifestyle, and reproduction in birds. Proceedings of the National Academy of Sciences, 109, 10937–10941.CrossRefGoogle ScholarPubMed
Snyder, R. E., & Ellner, S. P. (2018). Pluck or luck: Does trait variation or chance drive variation in lifetime reproductive success? The American Naturalist, 191, E90–E107.CrossRefGoogle ScholarPubMed
Städele, V., Vigilant, L., Strum, S. C., & Silk, J. B. (2021). Extended male–female bonds and potential for prolonged paternal investment in a polygynandrous primate (Papio anubis). Animal Behaviour, 174, 31–40.CrossRefGoogle Scholar
Stifani, B. M., Plagianos, M., Vieira, C. S., & Merkatz, R. B. (2018). Factors associated with nonadherence to instructions for using the Nestorone®/ethinyl estradiol contraceptive vaginal ring. Contraception, 97, 415–421.CrossRefGoogle ScholarPubMed
Tielbeek, J. J., Barnes, J. C., Popma, A., Polderman, T. J., Lee, J. J., Perry, J. R., … & Boutwell, B. B. (2018). Exploring the genetic correlations of antisocial behaviour and life history traits. BJPsych Open, 4, 467–470.CrossRefGoogle ScholarPubMed
Towne, B., Czerwinski, S. A., Demerath, E. W., Blangero, J., Roche, A. F., & Siervogel, R. M. (2005). Heritability of age at menarche in girls from the Fels Longitudinal Study. American Journal of Physical Anthropology, 128, 210–219.CrossRefGoogle ScholarPubMed
Tropf, F. C., Barban, N., Mills, M. C., Snieder, H., & Mandemakers, J. J. (2015). Genetic influence on age at first birth of female twins born in the UK, 1919–68. Population Studies, 69, 129–145.CrossRefGoogle ScholarPubMed
Van de Walle, J., Fay, R., Gaillard, J. M., Pelletier, F., Hamel, S., Gamelon, M., … & Jenouvrier, S. (2023). Individual life histories: neither slow nor fast, just diverse. Proceedings of the Royal Society B, 290, 20230511.CrossRefGoogle ScholarPubMed
Van Rheenen, W., Peyrot, W. J., Schork, A. J., Lee, S. H., & Wray, N. R. (2019). Genetic correlations of polygenic disease traits: From theory to practice. Nature Reviews Genetics, 20, 567–581.CrossRefGoogle ScholarPubMed
Venables, N. C., Foell, J., Yancey, J. R., Kane, M. J., Engle, R. W., & Patrick, C. J. (2018). Quantifying inhibitory control as externalizing proneness: A cross-domain model. Clinical Psychological Science, 6, 561–580.CrossRefGoogle Scholar
Volk, A. A. (2023). Historical and hunter-gatherer perspectives on fast-slow life history strategies. Evolution and Human Behavior, 44, 99–109.CrossRefGoogle Scholar
von Rueden, C. R., & Jaeggi, A. V. (2016). Men’s status and reproductive success in 33 nonindustrial societies: Effects of subsistence, marriage system, and reproductive strategy. Proceedings of the National Academy of Sciences USA, 113, 10824–10829.CrossRefGoogle ScholarPubMed
Voors, M., Turley, T., Kontoleon, A., Bulte, E., & List, J. A. (2012). Exploring whether behavior in context-free experiments is predictive of behavior in the field: Evidence from lab and field experiments in rural Sierra Leone. Economics Letters, 114, 308–311.CrossRefGoogle Scholar
Waldron, M., Heath, A. C., Turkheimer, E., Emery, R., Bucholz, K. K., Madden, P. A., & Martin, N. G. (2007). Age at first sexual intercourse and teenage pregnancy in Australian female twins. Twin Research and Human Genetics, 10, 440–449.CrossRefGoogle ScholarPubMed
Winking, J., & Koster, J. (2015). The fitness effects of men’s family investments: A test of three pathways in a single population. Human Nature, 26, 292–312.CrossRefGoogle Scholar
Woodley of Menie, M. A., Cabeza de Baca, T., Fernandes, H. B. F., Madison, G., Figueredo, A. J., & Peñaherrera Aguirre, M. (2017). Slow and steady wins the race: K positively predicts fertility in the USA and Sweden. Evolutionary Psychological Science, 3, 109–117.CrossRefGoogle Scholar
Wright, P. C. (1990). Patterns of paternal care in primates. International Journal of Primatology, 11, 89–102.CrossRefGoogle Scholar
Wu, J., Balliet, D., Tybur, J. M., Arai, S., Van Lange, P. A., & Yamagishi, T. (2017). Life history strategy and human cooperation in economic games. Evolution and Human Behavior, 38, 496–505.CrossRefGoogle Scholar
Yan, Y., Lu, H., Lin, S., & Zheng, Y. (2024). Reproductive factors and risk of cardiovascular diseases and all-cause and cardiovascular mortality in American women: NHANES 2003–2018. BMC Women’s Health, 24, 1–13.CrossRefGoogle ScholarPubMed
Yang, L., Li, L., Millwood, I. Y., Peters, S. A., Chen, Y., Guo, Y., … & China Kadoorie Biobank Study Collaborative Group. (2017). Age at menarche and risk of major cardiovascular diseases: evidence of birth cohort effects from a prospective study of 300,000 Chinese women. International Journal of Cardiology, 227, 497–502.CrossRefGoogle ScholarPubMed
Zaitlen, N., Kraft, P., Patterson, N., Pasaniuc, B., Bhatia, G., Pollack, S., & Price, A. L. (2013). Using extended genealogy to estimate components of heritability for 23 quantitative and dichotomous traits. PLoS Genetics, 9, e1003520.CrossRefGoogle ScholarPubMed
Zhang, Z., Ma, P., Li, Q., Xiao, Q., Sun, H., Olasege, B. S., … & Pan, Y. (2018). Exploring the genetic correlation between growth and immunity based on summary statistics of genome-wide association studies. Frontiers in Genetics, 9, 411832.CrossRefGoogle ScholarPubMed
Zietsch, B. P., & Sidari, M. J. (2020). A critique of life history approaches to human trait covariation. Evolution and Human Behavior, 41, 527–535.CrossRefGoogle Scholar
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