Adolescent Sexual Behavior Patterns, Mental Health, and Early Life Adversities in a British Birth Cohort

References

• Achenbach, T. M., Becker, A., Döpfner, M., Heiervang, E., Roessner, V., Steinhausen, H. C., & Rothenberger, A. (2008). Multicultural assessment of child and adolescent psychopathology with ASEBA and SDQ instruments: Research findings, applications, and future directions. Journal of Child Psychology and Psychiatry, 49(3), 251–275. https://doi.org/https://doi.org/10.1111/j.1469-7610.2007.01867.x
   PubMed Web of Science ®Google Scholar
• Asparouhov, T., & Muthén, B. (2012). Using Mplus tech11 and tech14 to test the number of latent classes. Mplus Web Notes. http://www.statmodel.com/examples/webnotes/webnote14.pdf
   Google Scholar
• Connelly, R., & Platt, L. (2014). Cohort profile: UK millennium Cohort study (MCS). International Journal of Epidemiology, 43(6), 1719–1725. https://doi.org/https://doi.org/10.1093/ije/dyu001
   PubMed Web of Science ®Google Scholar
• Danese, A., & McEwen, B. S. (2012). Adverse childhood experiences, allostasis, allostatic load, and age-related disease. Physiology & Behavior, 106(1), 29–39. https://doi.org/https://doi.org/10.1016/j.physbeh.2011.08.019
   PubMed Web of Science ®Google Scholar
• Del Giudice, M. (2014). Middle childhood: An evolutionary-developmental synthesis. Child Development Perspectives, 8(4), 193–200. https://doi.org/https://doi.org/10.1111/cdep.12084
   Web of Science ®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 (2nd ed., pp. 88–114). Wiley.
   Google Scholar
• Dhalla, S., & Kopec, J. A. (2007). The CAGE questionnaire for alcohol misuse: A review of reliability and validity studies. Clinical & Investigative Medicine, 30(1), 33–41. https://doi.org/https://doi.org/10.25011/cim.v30i1.447
   PubMed Web of Science ®Google Scholar
• Donald, M., Lucke, J., Dunne, M., & Raphael, B. (1995). Gender differences associated with young people’s emotional reactions to sexual intercourse. Journal of Youth and Adolescence, 24(4), 453–464. https://doi.org/https://doi.org/10.1007/BF01537191
   Web of Science ®Google Scholar
• Ellis, B. J. (2004). Timing of pubertal maturation in girls: An integrated life history approach. Psychological Bulletin, 130(6), 920–958. https://doi.org/https://doi.org/10.1037/0033-2909.130.6.920
   PubMed Web of Science ®Google Scholar
• Espinosa-Hernández, G., & Vasilenko, S. A. (2015). Patterns of relationship and sexual behaviors in Mexican adolescents and associations with well-being: A latent class approach. Journal of Adolescence, 44, 280–290. https://doi.org/https://doi.org/10.1016/j.adolescence.2015.08.011
   PubMed Web of Science ®Google Scholar
• Ge, X., & Natsuaki, M. N. (2009). In search of explanations for early pubertal timing effects on developmental psychopathology. Current Directions in Psychological Science, 18(6), 327–331. https://doi.org/https://doi.org/10.1111/j.1467-8721.2009.01661.x
   Web of Science ®Google Scholar
• Goodman, A., Lamping, D. L., & Ploubidis, G. B. (2010). When to use broader internalising and externalising subscales instead of the hypothesised five subscales on the Strengths and Difficulties Questionnaire (SDQ): Data from British parents, teachers and children. Journal of Abnormal Child Psychology, 38(8), 1179–1191. https://doi.org/https://doi.org/10.1007/s10802-010-9434-x
   PubMed Web of Science ®Google Scholar
• Goodman, R. (2001). Psychometric properties of the strengths and difficulties questionnaire. Journal of the American Academy of Child and Adolescent Psychiatry, 40(11), 1337–1345. https://doi.org/https://doi.org/10.1097/00004583-200111000-00015
   PubMed Web of Science ®Google Scholar
• Halpern, C. T., Udry, J. R., & Suchindran, C. (1997). Testosterone predicts initiation of coitus in adolescent females. Psychosomatic Medicine, 59(2), 161–171. https://doi.org/https://doi.org/10.1097/00006842-199703000-00008
   PubMed Web of Science ®Google Scholar
• Hansen, W. B., Paskett, E. D., & Carter, L. J. (1999). The Adolescent Sexual Activity Index (ASAI): A standardized strategy for measuring interpersonal heterosexual behaviors among youth. Health Education Research, 14(4), 485–490. https://doi.org/https://doi.org/10.1093/her/14.4.485
   PubMed Web of Science ®Google Scholar
• Harden, K. P. (2014). Genetic influences on adolescent sexual behavior: Why genes matter for environmentally oriented researchers. Psychological Bulletin, 140(2), 434–465. https://doi.org/https://doi.org/10.1037/a0033564
   PubMed Web of Science ®Google Scholar
• Hershenberg, R., & Davila, J. (2010). Depressive symptoms and sexual experiences among early adolescent girls: Interpersonal avoidance as moderator. Journal of Youth and Adolescence, 39(8), 967–976. https://doi.org/https://doi.org/10.1007/s10964-009-9446-4
   PubMed Web of Science ®Google Scholar
• Hipwell, A. E., Stepp, S. D., Keenan, K., Chung, T., & Loeber, R. (2011). Brief report: Parsing the heterogeneity of adolescent girls’ sexual behavior: Relationships to individual and interpersonal factors. Journal of Adolescence, 34(3), 589–592. https://doi.org/https://doi.org/10.1016/j.adolescence.2010.03.002
   PubMed Web of Science ®Google Scholar
• Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., Jones, L., & Dunne, M. P. (2017). The effect of multiple adverse childhood experiences on health: A systematic review and meta-analysis. The Lancet Public Health, 2(8), e356–e366. https://doi.org/https://doi.org/10.1016/S2468-2667(17)30118-4
   PubMed Web of Science ®Google Scholar
• Kaltiala-Heino, R., Kosunen, E., & Rimpelä, M. (2003). Pubertal timing, sexual behaviour and self-reported depression in middle adolescence. Journal of Adolescence, 26(5), 531–545. https://doi.org/https://doi.org/10.1016/S0140-1971(03)00053-8
   PubMed Web of Science ®Google Scholar
• Kamata, A., Kara, Y., Patarapichayatham, C., & Lan, P. (2018). Evaluation of analysis approaches for latent class analysis with auxiliary linear growth model. Frontiers in Psychology, 9, 130. https://doi.org/https://doi.org/10.3389/fpsyg.2018.00130
   PubMed Web of Science ®Google Scholar
• Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L., Walters, E. E., & Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976. https://doi.org/https://doi.org/10.1017/S0033291702006074
   PubMed Web of Science ®Google Scholar
• Khurana, A., Romer, D., Betancourt, L. M., Brodsky, N. L., Giannetta, J. M., & Hurt, H. (2012). Early adolescent sexual debut: The mediating role of working memory ability, sensation seeking, and impulsivity. Developmental Psychology, 48(5), 1416–1428. https://doi.org/https://doi.org/10.1037/a0027491
   PubMed Web of Science ®Google Scholar
• Kreager, D. A., Staff, J., Gauthier, R., Lefkowitz, E. S., & Feinberg, M. E. (2016). The double standard at sexual debut: Gender, sexual behavior and adolescent peer acceptance. Sex Roles, 75(7–8), 377–392. https://doi.org/https://doi.org/10.1007/s11199-016-0618-x
   PubMed Web of Science ®Google Scholar
• Lam, T. H., Shi, H. J., Ho, L. M., Stewart, S. M., & Fan, S. (2002). Timing of pubertal maturation and heterosexual behavior among Hong Kong Chinese adolescents. Archives of Sexual Behavior, 31(4), 359–366. https://doi.org/https://doi.org/10.1023/A:1016228427210
   PubMed Web of Science ®Google Scholar
• Liu, R. T. (2019). Childhood maltreatment and impulsivity: A meta-analysis and recommendations for future study. Journal of Abnormal Child Psychology, 47(2), 221–243. https://doi.org/https://doi.org/10.1007/s10802-018-0445-3
   PubMed Web of Science ®Google Scholar
• Luo, Y. L., Haworth, C. M., & Plomin, R. (2010). A novel approach to genetic and environmental analysis of cross-lagged associations over time: The cross-lagged relationship between self-perceived abilities and school achievement is mediated by genes as well as the environment. Twin Research and Human Genetics, 13(5), 426–436. https://doi.org/https://doi.org/10.1375/twin.13.5.426
   PubMed Web of Science ®Google Scholar
• Madkour, A. S., Farhat, T., Halpern, C. T., Godeau, E., & Gabhainn, S. N. (2010). Early adolescent sexual initiation as a problem behavior: A comparative study of five nations. Journal of Adolescent Health, 47(4), 389–398. https://doi.org/https://doi.org/10.1016/j.jadohealth.2010.02.008
   PubMed Web of Science ®Google Scholar
• Mayfield, D., McLeod, G., & Hall, P. (1974). The CAGE questionnaire: Validation of a new alcoholism screening instrument. American Journal of Psychiatry, 131(10), 1121–1123. https://doi.org/https://doi.org/10.1176/ajp.131.10.1121
   PubMed Web of Science ®Google Scholar
• McAdams, T. A., Neiderhiser, J. M., Rijsdijk, F. V., Narusyte, J., Lichtenstein, P., & Eley, T. C. (2014). Accounting for genetic and environmental confounds in associations between parent and child characteristics: A systematic review of children-of-twins studies. Psychological Bulletin, 140(4), 1138–1173. https://doi.org/https://doi.org/10.1037/a0036416
   PubMed Web of Science ®Google Scholar
• McKay, M. T., & Andretta, J. R. (2017). Evidence for the psychometric validity, internal consistency and measurement invariance of Warwick Edinburgh Mental Well-being Scale scores in Scottish and Irish adolescents. Psychiatry Research, 255, 382–386. https://doi.org/https://doi.org/10.1016/j.psychres.2017.06.071
   PubMed Web of Science ®Google Scholar
• Meier, A. M. (2007). Adolescent first sex and subsequent mental health. American Journal of Sociology, 112(6), 1811–1847. https://doi.org/https://doi.org/10.1086/512708
   Web of Science ®Google Scholar
• Mendle, J., Harden, K. P., Turkheimer, E., Van Hulle, C. A., D’Onofrio, B. M., Brooks-Gunn, J., Rodgers, J. L., Emery, R. E., & Lahey, B. B. (2009). Associations between father absence and age of first sexual intercourse. Child Development, 80(5), 1463–1480. https://doi.org/https://doi.org/10.1111/j.1467-8624.2009.01345.x
   PubMed Web of Science ®Google Scholar
• Mewton, L., Kessler, R. C., Slade, T., Hobbs, M. J., Brownhill, L., Birrell, L., Tonks, Z., Teesson, M., Newton, N., Chapman, C., Allsop, S., Hides, L., McBride, N., & Andrews, G. (2016). The psychometric properties of the Kessler Psychological Distress Scale (K6) in a general population sample of adolescents. Psychological Assessment, 28(10), 1232–1242. https://doi.org/https://doi.org/10.1037/pas0000239
   PubMed Web of Science ®Google Scholar
• Pechtel, P., & Pizzagalli, D. A. (2011). Effects of early life stress on cognitive and affective function: An integrated review of human literature. Psychopharmacology, 214(1), 55–70. https://doi.org/https://doi.org/10.1007/s00213-010-2009-2
   PubMed Web of Science ®Google Scholar
• Petersen, J. L., & Hyde, J. S. (2009). A longitudinal investigation of peer sexual harassment victimization in adolescence. Journal of Adolescence, 32(5), 1173–1188. https://doi.org/https://doi.org/10.1016/j.adolescence.2009.01.011
   PubMed Web of Science ®Google Scholar
• Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. https://doi.org/https://doi.org/10.1016/j.dr.2016.06.004
   PubMed Web of Science ®Google Scholar
• Ramrakha, S., Caspi, A., Dickson, N., Moffitt, T. E., & Paul, C. (2000). Psychiatric disorders and risky sexual behaviour in young adulthood: Cross sectional study in birth cohort. BMJ, 321(7256), 263–266. https://doi.org/https://doi.org/10.1136/bmj.321.7256.263
   PubMed Web of Science ®Google Scholar
• Robinson-Cimpian, J. P. (2014). Inaccurate estimation of disparities due to mischievous responders: Several suggestions to assess conclusions. Educational Researcher, 43(4), 171–185. https://doi.org/https://doi.org/10.3102/0013189X14534297
   Web of Science ®Google Scholar
• Rosenberg, M. (2015). Society and the adolescent self-image. Princeton University Press.
   Google Scholar
• Sass, D. A., Schmitt, T. A., & Marsh, H. W. (2014). Evaluating model fit with ordered categorical data within a measurement invariance framework: A comparison of estimators. Structural Equation Modeling: A Multidisciplinary Journal, 21(2), 167–180. https://doi.org/https://doi.org/10.1080/10705511.2014.882658
   Web of Science ®Google Scholar
• Shtarkshall, R. A., Carmel, S., Jaffe-Hirschfield, D., & Woloski-Wruble, A. (2009). Sexual milestones and factors associated with coitus initiation among Israeli high school students. Archives of Sexual Behavior, 38(4), 591–604. https://doi.org/https://doi.org/10.1007/s10508-008-9418-x
   PubMed Web of Science ®Google Scholar
• Stewart-Brown, S., Tennant, A., Tennant, R., Platt, S., Parkinson, J., & Weich, S. (2009). Internal construct validity of the Warwick-Edinburgh mental well-being scale (WEMWBS): A Rasch analysis using data from the Scottish health education population survey. Health and Quality of Life Outcomes, 7(1), 15. https://doi.org/https://doi.org/10.1186/1477-7525-7-15
   PubMed Web of Science ®Google Scholar
• Suleiman, A. B., Galván, A., Harden, K. P., & Dahl, R. E. (2017). Becoming a sexual being: The ‘elephant in the room’ of adolescent brain development. Developmental Cognitive Neuroscience, 25, 209–220. https://doi.org/https://doi.org/10.1016/j.dcn.2016.09.004
   PubMed Web of Science ®Google Scholar
• Twisk, J., & de Vente, W. (2002). Attrition in longitudinal studies: How to deal with missing data. Journal of Clinical Epidemiology, 55(4), 329–337. https://doi.org/https://doi.org/10.1016/S0895-4356(01)00476-0
   PubMed Web of Science ®Google Scholar
• Vasilenko, S. A., Kugler, K. C., Butera, N. M., & Lanza, S. T. (2015). Patterns of adolescent sexual behavior predicting young adult sexually transmitted infections: A latent class analysis approach. Archives of Sexual Behavior, 44(3), 705–715. https://doi.org/https://doi.org/10.1007/s10508-014-0258-6
   PubMed Web of Science ®Google Scholar
• Wesche, R., Lefkowitz, E. S., & Vasilenko, S. A. (2017). Latent classes of sexual behaviors: Prevalence, predictors, and consequences. Sexuality Research and Social Policy, 14(1), 100–111. https://doi.org/https://doi.org/10.1007/s13178-016-0228-y
   PubMed Web of Science ®Google Scholar
• White, I. R., Royston, P., & Wood, A. M. (2011). Multiple imputation using chained equations: Issues and guidance for practice. Statistics in Medicine, 30(4), 377–399. https://doi.org/https://doi.org/10.1002/sim.4067
   PubMed Web of Science ®Google Scholar
• Wight, D., Williamson, L., & Henderson, M. (2006). Parental influences on young people’s sexual behaviour: A longitudinal analysis. Journal of Adolescence, 29(4), 473–494. https://doi.org/https://doi.org/10.1016/j.adolescence.2005.08.007
   PubMed Web of Science ®Google Scholar
• Xu, Y., Norton, S., & Rahman, Q. (2018). Early life conditions, reproductive and sexuality-related life history outcomes among human males: A systematic review and meta-analysis. Evolution and Human Behavior, 39(1), 40–51. https://doi.org/https://doi.org/10.1016/j.evolhumbehav.2017.08.005
   Web of Science ®Google Scholar
• Xu, Y., Norton, S., & Rahman, Q. (2020). A longitudinal birth cohort study of early life conditions, psychosocial factors, and emerging adolescent sexual orientation. Developmental Psychobiology, 62(1), 5–20. https://doi.org/https://doi.org/10.1002/dev.21894
   PubMed Web of Science ®Google Scholar
• Xu, Y., Norton, S., & Rahman, Q. (2021). Adolescent sexual behavior patterns in a British birth cohort: A latent class analysis. Archives of Sexual Behavior, 50(1), 161–180. https://doi.org/https://doi.org/10.1007/s10508-019-01578-w
   PubMed Web of Science ®Google Scholar