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Testing Environmental Effects on Age at Menarche and Sexual Debut within a Genetically Informative Twin Design

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A Correction to this article was published on 27 June 2023

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Abstract

Life-history-derived models of female sexual development propose menarche timing as a key regulatory mechanism driving subsequent sexual behavior. The current research utilized a twin subsample of the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 514) to evaluate environmental effects on timings of menarche and sexual debut, as well as address potential confounding of these effects within a genetically informative design. Results show mixed support for each life history model and provide little evidence rearing environment is important in the etiology of individual differences in age at menarche. This research calls into question the underlying assumptions of life-history-derived models of sexual development and highlights the need for more behavior genetic research in this area.

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Notes

  1. This research uses data from Add Health, funded by grant P01 HD31921 (Harris) from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), with cooperative funding from 23 other federal agencies and foundations. Add Health is currently directed by Robert A. Hummer and funded by the National Institute on Aging cooperative agreements U01 AG071448 (Hummer) and U01AG071450 (Aiello and Hummer) at the University of North Carolina at Chapel Hill. Add Health was designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill.

  2. Although oversampled, prior research has shown that the twin subsample of the Add Health does not differ substantially from the nonsibling sample on a variety of measures (e.g., Barnes & Boutwell, 2013; Jacobson & Rowe, 1998; Nedelec et al., 2017).

  3. Our preregistered sample size included 254 twin pairs. We ultimately elected to include data from three additional twins with no co-twin data, bringing the number of pairs to 257.

  4. These were, “how often in the last month have you (parent) had five or more drinks on one occasion” (PA62), “how many other states or countries have you lived since June 1995” (H3HR20), “since the beginning of June 1995 at how many (other) addresses have you lived” (H3HR18).

  5. Specifically, 60.5% were raised by biological fathers, 14.5% were raised by unrelated father figures, and less than 6.0% were raised by any type of non-biological but related father figure (i.e., grandfather, brother, uncle, or other male relative).

  6. Missing values were saved for participants who were missing data on the indicators analyzed with PCA. Missing data were handled via pairwise present in the SEM analyses.

  7. Age of menarche at Wave 2 [H2FP4] was employed to reduce missingness; additionally, respondents who reached age of menarche prior to father absence were coded as “0” on this item.

  8. We planned to use robust maximum likelihood (MLR) as the estimator, but we had a mix of continuous and categorical indicators and needed to specify residual covariances between the latter. This can only be accomplished via mixture modeling in the context of MLR and we found this approach much more computationally intensive than WLSMV. We preregistered the decision to use WLSMV if MLR was too computationally intensive.

  9. The Wald z-tests and global χ2 test are only asymptotically equivalent, meaning that they will only match closely in large samples. Wald tests are regarded as a poor choice to testing hypotheses in samples of modest size, where second-order parameters converge slowly to normality. Additionally, the Wald z-test is sensitive to the choice of parameterization, whereas the global χ2 test is invariant to change-of-parameter.

References

  • Agrawal, A. A., Conner, J. K., & Rasmann, S. (2010). Tradeoffs and negative correlations in evolutionary ecology. In M. A. Bell, D. J. Futuyma, W. F. Eanes, & J. S. Levinton (Eds.), Evolution after Darwin: The first 150 years (pp. 243–268). Sinauer.

    Google 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(5), 668–677.

    Google Scholar 

  • Anderson, K. G. (2015). Father absence, childhood stress, and reproductive maturation in South Africa. Human Nature, 26, 401–425.

    Google Scholar 

  • Barbaro, N., Boutwell, B. B., Barnes, J. C., & Shackelford, T. K. (2017). Genetic confounding of the relationship between father absence and age at menarche. Evolution and Human Behavior, 38, 357–365.

    Google Scholar 

  • Barnes, J. C., & Boutwell, B. B. (2013). A demonstration of the generalizability of twin-based research on antisocial behavior. Behavior Genetics, 43, 120–131.

    Google Scholar 

  • Barnes, J. C., Boutwell, B. B., Beaver, K. M., Gibson, C. L., & Wright, J. P. (2014). On the consequences of ignoring genetic influences in criminological research. Journal of Criminal Justice, 42, 471–482.

    Google Scholar 

  • Belsky, J. (2019). Early-life adversity accelerates child and adolescent development. Current Directions in Psychological Science, 28, 241–246.

    Google 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.

    Google Scholar 

  • Belsky, J., Steinberg, L., & Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: An evolutionary theory of socialization. Child Development, 62, 647–670.

    Google Scholar 

  • Belsky, J., Steinberg, L., Houts, R. M., & Halpern-Felsher, B. L. (2010). The development of reproductive strategy in females: Early maternal harshness → earlier menarche → increased sexual risk taking. Developmental Psychology, 46, 120–128.

    Google Scholar 

  • Bjorklund, D. F. (2016). Incorporating development into evolutionary psychology: Evolved probabilistic cognitive mechanisms. Evolutionary Psychology, 14(4). https://doi.org/10.1177/1474704916670166

  • Bollen, K. A. (1989). A new incremental fit index for general structural equation models. Sociological Methods & Research, 17, 303–316.

    Google Scholar 

  • Border, R., Johnson, E. C., Evans, L. M., Smolen, A., Berley, N., Sullivan, P. F., & Keller, M. C. (2019). No support for historical candidate gene or candidate gene-by-interaction hypotheses for major depression across multiple large samples. American Journal of Psychiatry, 176(5), 376–387.

    Google Scholar 

  • Border, R., & Keller, M. C. (2017). Commentary: Fundamental problems with candidate gene-by-environment interaction studies—reflections on Moore and Thoemmes (2016). Journal of Child Psychology and Psychiatry, 58(3), 328–330.

    Google Scholar 

  • Boynton-Jarrett, R., Wright, R. J., Putnam, F. W., Hibert, E. L., Michels, K. B., Forman, M. R., & Rich-Edwards, J. (2013). Childhood abuse and age at menarche. Journal of Adolescent Health, 52, 241–247.

    Google Scholar 

  • Braendle, C., Heyland, F., & Flatt, T. (2011). Integrating mechanistic and evolutionary analysis of life history variation. In T. Flatt & F. Heyland (Eds.), Mechanisms of life history evolution: The genetics and physiology of life history traits and trade-offs (pp. 3–10). Oxford University Press.

    Google Scholar 

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 111–135). Sage.

    Google Scholar 

  • Byrne, B. M. (2001). Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. International Journal of Testing, 1, 55–86.

    Google Scholar 

  • Cabeza de Baca, T., Barnett, M. A., & Ellis, B. J. (2016). The development of the child unpredictability schema: Regulation through maternal life history trade-offs. Evolutionary Behavioral Sciences, 10, 43–55.

    Google Scholar 

  • Cavanagh, S. E., Schiller, K. S., & Riegle-Crumb, C. (2006). Marital transitions, parenting, and schooling: Exploring the link between family-structure history and adolescents’ academic status. Sociology of Education, 79(4), 329–354.

    Google Scholar 

  • Chisholm, J. S., Ellison, P. T., Evans, J., Lee, P. C., Lieberman, L. S., Pavlik, Z., …, & Worthman, C. M. (1993). Death, hope, and sex: Life-history theory and the development of reproductive strategies. Current Anthropology, 34, 1–24.

  • Chisholm, J. S., Quinlivan, J. A., Petersen, R. W., & Coall, D. A. (2005). Early stress predicts age at menarche and first birth, adult attachment, and expected lifespan. Human Nature, 16, 233–265.

    Google Scholar 

  • Copeland, W., Shanahan, L., Miller, S., Costello, E. J., Angold, A., & Maughan, B. (2010). Outcomes of early pubertal timing in young women: A prospective population-based study. American Journal of Psychiatry, 167, 1218–1225.

    Google Scholar 

  • Copping, L. T., Campbell, A., & Muncer, S. (2014). Conceptualizing time preference: A life-history analysis. Evolutionary Psychology, 12(4), 147470491401200420.

    Google Scholar 

  • Davis, E. C., & Friel, L. V. (2001). Adolescent sexuality: Disentangling the effects of family structure and family context. Journal of Marriage and Family, 63, 669–681.

    Google Scholar 

  • Del Giudice, M. (2009). Sex, attachment, and the development of reproductive strategies. Behavioral and Brain Sciences, 32, 1–67.

    Google Scholar 

  • Del Giudice, M. (2015). Plasticity as a developing trait: Exploring the implications. Frontiers in Zoology, 12, S4.

    Google Scholar 

  • Del Giudice, M., Gangestad, S. W., & Kaplan, H. S. (2015). Life history theory and evolutionary psychology. In D. M. Buss (Ed.), The handbook of Evolutionary Psychology (pp. 88–114). Wiley.

    Google Scholar 

  • Draper, P., & Harpending, H. (1982). Father absence and reproductive strategy: An evolutionary perspective. Journal of Anthropological Research, 38, 255–273.

    Google Scholar 

  • Duncan, L. E., & Keller, M. C. (2011). A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. American Journal of Psychiatry, 168(10), 1041–1049.

    Google Scholar 

  • Duncan, L. E., Ostacher, M., & Ballon, J. (2019). How genome-wide association studies (GWAS) made traditional candidate gene studies obsolete. Neuropsychopharmacology, 44(9), 1518–1523.

    Google Scholar 

  • Ellis, B. J. (2004). Timing of pubertal maturation in girls: An integrated life history approach. Psychological Bulletin, 130, 920–958.

    Google Scholar 

  • Ellis, B. J., Figueredo, A. J., Brumbach, B. H., & Schlomer, G. L. (2009). Fundamental dimensions of environmental risk: The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Human Nature, 20, 204–268.

    Google Scholar 

  • Ellis, B. J., Schlomer, G. L., Tilley, E. H., & Butler, E. A. (2012). Impact of fathers on risky sexual behavior in daughters: A genetically and environmentally controlled sibling study. Development and Psychopathology, 24, 317–332.

    Google Scholar 

  • Figueredo, A. J., Vásquez, G., Brumbach, B. H., Schneider, S. M., Sefcek, J. A., Tal, I. R., ..., & Jacobs, W. J. (2006). Consilience and life history theory: From genes to brain to reproductive strategy. Developmental Review, 26, 243–275.

  • Figueredo, A. J., Vásquez, G., Brumbach, B. H., & Schneider, S. (2004). The heritability of life history strategy: The K-factor, covitality, and personality. Social Biology, 51, 121–143.

    Google Scholar 

  • Gaydosh, L., Belsky, D. W., Domingue, B. W., Boardman, J. D., & Harris, K. M. (2018). Father absence and accelerated reproductive development in non-Hispanic white women in the United States. Demography, 55, 1245–1267.

    Google Scholar 

  • Golden, W. L. (1981). Reproductive histories in a Norwegian twin population: Evaluation of the maternal effect in early spontaneous abortion. Acta Geneticae Medicae Et Gemellologiae: Twin Tesearch, 30(2), 91–165.

    Google Scholar 

  • Harris, K. M., Halpern, C. T., Smolen, A., & Haberstick, B. C. (2006). The national longitudinal study of adolescent health (Add Health) twin data. Twin Research and Human Genetics, 9, 988–997.

    Google Scholar 

  • Hill, E. M., Jenkins, J., & Farmer, L. (2008). Family unpredictability, future discounting, and risk taking. The Journal of Socio-Economics, 37, 1381–1396.

    Google Scholar 

  • Hill, K., & Kaplan, H. (1999). Life history traits in humans: Theory and empirical studies. Annual Review of Anthropology, 28, 397–430.

    Google Scholar 

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55.

    Google Scholar 

  • Hur, Y. M., & Ra, J. M. (2022). Heritability of age at menarche in Nigerian adolescent twins. Twin Research and Human Genetics, 25, 40–44. https://doi.org/10.1017/thg.2022.9

  • 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(3), 183–186.

    Google Scholar 

  • 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.

    Google Scholar 

  • Jacobson, K. C., & Rowe, D. C. (1998). Genetic and shared environmental influences on adolescent BMI: Interactions with race and sex. Behavior Genetics, 28, 265–278.

    Google Scholar 

  • James, J., Ellis, B. J., Schlomer, G. L., & Garber, J. (2012). Sex-specific pathways to early puberty, sexual debut, and sexual risk taking: Tests of an integrated evolutionary–developmental model. Developmental Psychology, 48, 687–702.

    Google Scholar 

  • Johnson, W., Turkheimer, E., Gottesman, I. I., & Bouchard, T. J., Jr. (2009). Beyond heritability: Twin studies in behavioral research. Current Directions in Psychological Science, 18, 217–220.

    Google Scholar 

  • Kaplan, H. S., & Gangestad, S. W. (2005). Life history theory and evolutionary psychology. In D. M. Buss (Ed.), The handbook of evolutionary psychology (pp. 68–95). Wiley.

    Google Scholar 

  • Kaprio, J., Rimpelä, A., Winter, T., Viken, R. J., Rimpelä, M., & Rose, R. J. (1995). Common genetic influences on BMI and age at menarche. Human Biology, 67, 739–753.

  • Kendler, K. S., & Baker, J. H. (2007). Genetic influences on measures of the environment: A systematic review. Psychological Medicine, 37, 615–626.

    Google Scholar 

  • Kruger, D. J., Reischl, T., & Zimmerman, M. A. (2008). Time perspective as a mechanism for functional developmental adaptation. Journal of Social, Evolutionary, and Cultural Psychology, 2, 1–22.

    Google Scholar 

  • Kuzawa, C. W., & Bragg, J. M. (2012). Plasticity in human life history strategy: Implications for contemporary human variation and the evolution of genus Homo. Current Anthropology, 53, S369–S382.

    Google Scholar 

  • Kyweluk, M. A., Georgiev, A. V., Borja, J. B., Gettler, L. T., & Kuzawa, C. W. (2018). Menarcheal timing is accelerated by favorable nutrition but unrelated to developmental cues of mortality or familial instability in Cebu, Philippines. Evolution and Human Behavior, 39, 76–81.

    Google Scholar 

  • La Guardia, A. C., Nelson, J. A., & Lertora, I. M. (2014). The impact of father absence on daughter sexual development and behaviors: Implications for professional counselors. The Family Journal, 22, 339–346.

    Google Scholar 

  • McGue, M., Osler, M., & Christensen, K. (2010). Causal inference and observational research: The utility of twins. Perspectives on Psychological Science, 5, 546–556.

    Google Scholar 

  • Mendle, J., Turkheimer, E., D’Onofrio, B. M., Lynch, S. K., Emery, R. E., Slutske, W. S., & Martin, N. G. (2006). Family structure and age at menarche: A children-of-twins approach. Developmental Psychology, 42, 533.

    Google Scholar 

  • Müller, M. J., Bosy-Westphal, A., & Krawczak, M. (2010). Genetic studies of common types of obesity: A critique of the current use of phenotypes. Obesity Reviews, 11(8), 612–618.

    Google Scholar 

  • Muthén, B. O., du Toit, S. H. C., & Spisic, D. (1997). Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes (unpublished technical report). Accessed from www.statmodel.com/bmuthen/articles/Article_075.pdf

  • Neale, M. C., & Cardon, L. R. (2013). Methodology for genetic studies of twins and families. Dordrecht: Springer Science + Business Media.

    Google Scholar 

  • Nedelec, J. L., Richardson, G., & Silver, I. A. (2017). Religiousness, spirituality, and substance use: A genetically sensitive examination and critique. Journal of Drug Issues, 47, 340–355.

    Google Scholar 

  • Parent, A. S., Teilmann, G., Juul, A., Skakkebaek, N. E., Toppari, J., & Bourguignon, J. P. (2003). The timing of normal puberty and the age limits of sexual precocity: Variations around the world, secular trends, and changes after migration. Endocrine Reviews, 24, 668–693.

    Google Scholar 

  • Placek, C. D., & Quinlan, R. J. (2012). Adolescent fertility and risky environments: A population-level perspective across the lifespan. Proceedings of the Royal Society B: Biological Sciences, 279, 4003–4008.

    Google Scholar 

  • Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics, 47, 702–709.

    Google Scholar 

  • Promislow, D. E., & Harvey, P. H. (1990). Living fast and dying young: A comparative analysis of life-history variation among mammals. Journal of Zoology, 220, 417–437.

    Google Scholar 

  • Quinlan, R. J. (2008). Human pair-bonds: Evolutionary functions, ecological variation, and adaptive development. Evolutionary Anthropology, 17, 227–238.

    Google Scholar 

  • Quinlan, R. J. (2010). Extrinsic mortality effects on reproductive strategies in a Caribbean community. Human Nature, 21, 124–139.

    Google Scholar 

  • Richardson, G. B., Dariotis, J. K., & Lai, M. H. (2017a). From environment to mating competition and Super-K in a predominantly urban sample of young adults. Evolutionary Psychology, 15. https://doi.org/10.1177/1474704916670165

  • Richardson, G. B., Sanning, B. K., Lai, M. H., Copping, L. T., Hardesty, P. H., & Kruger, D. J. (2017b). On the psychometric study of human life history strategies: State of the science and evidence of two independent dimensions. Evolutionary Psychology, 15. https://doi.org/10.1177/1474704916666840

  • Richardson, G. B., & Boutwell, B. B. (2020). Decomposition of mean sex differences in alcohol use within a genetic factor model. Behavior Genetics, 50(5), 320–331.

    Google Scholar 

  • Richardson, G. B., La Guardia, A. C., & Klay, P. M. (2018). Determining the roles of father absence and age at menarche in female psychosocial acceleration. Evolution and Human Behavior, 39, 437–446.

    Google Scholar 

  • Romans, S. E., Martin, J. M., Gendall, K., & Herbison, G. P. (2003). Age of menarche: The role of some psychosocial factors. Psychological Medicine, 33, 933–939.

    Google Scholar 

  • Rowe, D. C. (2002). On genetic variation in menarche and age at first sexual intercourse: A critique of the Belsky-Draper hypothesis. Evolution and Human Behavior, 23, 365–372.

    Google Scholar 

  • Schlomer, G. L., Murray, J., Yates, B., Hair, K., & Vandenbergh, D. J. (2019). Father absence, age at menarche, and sexual behaviors in women: Evaluating the genetic confounding hypothesis using the androgen receptor gene. Evolutionary Behavioral Sciences, 3, 205–222.

    Google Scholar 

  • Sear, R., & Mace, R. (2008). Who keeps children alive? A review of the effects of kin on child survival. Evolution and Human Behavior, 29, 1–18.

    Google Scholar 

  • Sear, R., Sheppard, P., & Coall, D. A. (2019). Cross-cultural evidence does not support universal acceleration of puberty in father-absent households. Philosophical Transactions of the Royal Society B, 374, 20180124.

    Google Scholar 

  • Sheppard, P., Snopkowski, K., & Sear, R. (2014). Father absence and reproduction-related outcomes in Malaysia, a transitional fertility population. Human Nature, 25, 213–234.

    Google Scholar 

  • Silventoinen, K., Jelenkovic, A., Palviainen, T., Dunkel, L., & Kaprio, J. (2022). The association between puberty timing and body mass index in a longitudinal setting: The contribution of genetic factors. Behavior Genetics, 52(3), 186–194.

    Google Scholar 

  • Simpson, J. A., Griskevicius, V., & Kim, J. S. (2011). Evolution, life history theory, and personality. In L. M. Horowitz & S. Strack (Eds.), Handbook of interpersonal psychology: Theory, research, assessment, and therapeutic interventions (pp. 75–89). Wiley.

    Google Scholar 

  • Simpson, J. A., Griskevicius, V., Kou, S.I.-C., Sung, S., & Collins, A. (2012). Evolution, stress, and sensitive periods: The influence of unpredictability in early versus late childhood on sex and risky behavior. Developmental Psychology, 48, 674–686.

    Google Scholar 

  • Smith, D. (2017). O brother, where art thou? Investment in siblings for inclusive fitness benefits, not father absence, predicts earlier age at menarche. Biology Letters, 13, 20170464.

    Google Scholar 

  • Snopkowski, K., & Ziker, J. P. (2020). Sexual initiation among Canadian youth: A model comparison approach of evolutionary hypotheses shows greatest support for extrinsic mortality cues, intergenerational conflict, and early life psychosocial stressors. Evolution and Human Behavior, 41, 105–116.

    Google Scholar 

  • Sohn, K. (2017). The null relation between father absence and earlier menarche. Human Nature, 28, 407–422.

    Google Scholar 

  • Stearns, S. C. (1976). Life-history tactics: A review of the ideas. The Quarterly Review of Biology, 51, 3–47.

    Google Scholar 

  • Stearns, S. (1992). The evolution of life histories. Oxford University Press.

    Google Scholar 

  • TenEyck, M. F., El Sayed, S. A., & Barnes, J. C. (2019). The effect of absent biological father on female biological maturity: Results from a nationally representative sample of adolescents. Journal of Contemporary Criminal Justice, 35, 36–51.

    Google Scholar 

  • Tither, J. M., & Ellis, B. J. (2008). Impact of fathers on daughters’ age at menarche: A genetically- and environmentally-controlled sibling study. Developmental Psychology, 44, 1409–1420.

    Google Scholar 

  • Treloar, S. A., & Martin, N. G. (1990). Age at menarche as a fitness trait: Nonadditive genetic variance detected in a large twin sample. American Journal of Human Genetics, 47(1), 137.

    Google Scholar 

  • Turkheimer, E., & Harden, K. P. (2014). Behavior genetic research methods: Testing quasi-causal hypotheses using multivariate twin data. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (pp. 159–187). Cambridge University Press.

    Google Scholar 

  • Visscher, P. M., Medland, S. E., Ferreira, M. A. R., Morley, K. I., Zhu, G., Cornes, B. K., ..., & Martin, N. G. (2006). Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings. PLoS Genetics, 2(3), e41.

  • Wainschtein, P., Jain, D., Zheng, Z., Cupples, L. A., Shadyab, A. H., McKnight, B., ..., & Visscher, P. M. (2022). Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. Nature Genetics, 54(3), 263–273.

  • Webster, G. D., Graber, J. A., Gesselman, A. N., Crosier, B. S., & Schember, T. O. (2014). A life history theory of father absence and menarche: A meta-analysis. Evolutionary Psychology, 12, 273–294.

    Google Scholar 

  • Wright, J. P., Barnes, J. C., Boutwell, B. B., Schwartz, J. A., Connolly, E. J., Nedelec, J. L., & Beaver, K. M. (2015). Mathematical proof is not minutiae and irreducible complexity is not a theory: A final response to Burt and Simons and a call to criminologists. Criminology, 53, 113.

    Google Scholar 

  • Zietsch, B. P., & Sidari, M. J. (2020). A critique of life history approaches to human trait covariation. Evolution and Human Behavior, 41(6), 527–535.

    Google Scholar 

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Richardson, G.B., Barbaro, N., Nedelec, J.L. et al. Testing Environmental Effects on Age at Menarche and Sexual Debut within a Genetically Informative Twin Design. Hum Nat 34, 324–356 (2023). https://doi.org/10.1007/s12110-023-09451-5

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