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Original Article |

Timing of Menarche and the Origins of Conduct Disorder FREE

S. Alexandra Burt, PhD; Matt McGue, PhD; Janeen A. DeMarte, MA; Robert F. Krueger, PhD; William G. Iacono, PhD
[+] Author Affiliations

Author Affiliations: Departments of Psychology, Michigan State University, East Lansing (Dr Burt and Ms DeMarte) and University of Minnesota, Minneapolis (Drs McGue, Krueger, and Iacono).


Arch Gen Psychiatry. 2006;63(8):890-896. doi:10.1001/archpsyc.63.8.890.
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Context  Precocious onset of menses (ie, age ≤11 years) has repeatedly been identified as a risk factor for higher rates of delinquency or conduct disorder (CD) in girls. Although this association is often conceptualized as environmentally mediated (via processes such as affiliation of early-menstruating youth with older, more deviant peers), such conclusions are premature as biological and genetic explanations have yet to be fully considered.

Objective  To uncover the origins of the association between CD and timing of menarche.

Design, Setting, and Participants  The sample consisted of a population-based birth cohort of 708 mid-adolescent female twins assessed as part of the ongoing Minnesota Twin Family Study. We conducted 2 sets of analyses: standard bivariate analyses to uncover possible common genes and moderator analyses to evaluate possible moderation of genetic influences on CD by timing of menarche.

Main Outcome Measures  Conduct disorder was assessed via individual semistructured interviews with mothers and adolescents. Menarcheal status and age at menarche were assessed via the Pubertal Development Scale.

Results  The results argued against common genetic influences but did provide evidence of etiological moderation of CD by timing of menarche. The heritability of CD was strongest (67%) in girls with average timing of menarche (ie, age 12-13 years) and substantially weaker (8%) in those with early onset. Those with late initiation of menses (ie, age >13 years) similarly exhibited weaker genetic influences (29%). Shared environmental influences showed the opposite pattern, as they were far stronger for those with precocious and delayed onset vs those with average onset.

Conclusions  Our findings provide indirect support for psychosocial interpretations of the impact of precocious menarche and, to a lesser extent, delayed menarche on CD development. Further, they lend support to the notion that in some cases, genetic influences on psychopathology may be strongest in the “average, expectable” environment.

Figures in this Article

Early puberty has been linked to a number of emotional and behavioral problems, particularly in girls. As compared with on-time– and late-maturing peers, girls with precocious timing of menarche exhibit higher rates of delinquency or conduct disorder (CD) symptoms,15 more frequent affiliation with older, more deviant peers,1,3 an earlier initiation and greater frequency of alcohol and tobacco use,4,6,7 earlier sexual activity,8,9 and higher rates of adverse childhood experiences.8,9 These effects appear to be most pronounced in early to mid adolescence, although some studies4 have suggested that they may continue into early adulthood. In contrast, girls with delayed menarche appear to be protected from the well-documented increase10 in externalizing behavior during adolescence.1,6

The most widely accepted explanations for this association center on the social and emotional difficulties faced by early-maturing girls. The first set of theories1113 hypothesizes that early maturers may lack the social and cognitive coping skills necessary to successfully navigate the changing social norms and expectations brought on by their precocious transition to adolescence, and consequently, they engage in more delinquent and high-risk activities. The second explanation7 centers on the presumably causal influence of peers on the expression of deviant behaviors. This theory is predicated on the finding that early maturers more frequently affiliate with older and more deviant peer networks whereas late maturers are more likely to associate with chronologically younger, less deviant peers.

Although the psychosocial theories mentioned earlier make intuitive sense, genetic and biological explanations must also be considered, particularly as menarcheal timing is itself genetically influenced.14 One potential theory centers on the extent to which the genes influencing CD are the same as those influencing timing of menarche. Common genes may signal pleiotropy in which 1 gene has effects on multiple traits, in this case contributing to early pubertal timing and a tendency toward acting-out behaviors. Consistent with this possibility, Comings et al8 reported that the oft-reported link between father abandonment and daughters' early menarche and behavioral problems15,16 is actually a function of the androgen receptor gene (an X-linked gene passed from fathers to their daughters). A second theory centers on gene-gene interactions in which gene-regulated hormonal influences activate genetic influences on CD (as found for eating pathology [K. L. Klump, PhD, P. Perkins, PhD, S.A.B., M.M., and W.G.I., unpublished data, January 2006]). In both cases, we would expect to observe moderate to strong genetic correlations linking timing of menarche with acting-out behaviors.

Another set of hypotheses falls under the rubric of environmental moderation of the genetic influences on CD (gene-environment interactions).17 One possibility is that early menarche exacerbates or potentiates the expression of the genetic influences on CD.2 Alternately, it may be that early menarche acts as an environmental main effect, effectively suppressing genetic influences on CD in early-maturing girls. The latter case would yield largely environmental mediation of CD in early maturers and is thus clearly consistent with psychosocial interpretations.7,1113

The current study sought to evaluate these competing hypotheses in a sample of mid-adolescent female twins. We first made use of a bivariate biometric model to evaluate whether CD and menarcheal timing covaried as a result of common genetic influences (as measured via a genetic correlation). We next examined whether and how timing of menarche moderated genetic and environmental contributions to CD. Together, these analyses allowed us to evaluate several possible mechanisms underlying the association between timing of menarche and CD symptoms.

PARTICIPANTS

The sample was drawn from participants in the ongoing Minnesota Twin Family Study, a population-based, longitudinal study of same-sex adolescent twins born in the state of Minnesota and their parents. Twin families were ascertained from birth records and located using public databases. More than 90% of twin births between 1971 and 1985 have been located. Families were excluded from the study if either twin had a cognitive or physical handicap that would preclude completing our day-long, in-person assessment or if the family lived more than 1 day's drive from our Minneapolis, Minn, laboratory. Of eligible families, 83% agreed to participate. Parents in participating families had slightly albeit significantly more years of education (mean additional years of education, 0.25 years) than parents in nonparticipating families. In socioeconomic status and self-reported mental health problems, however, there were no significant differences between participating and nonparticipating families.18 Participating families were generally representative of the Minnesota population at the time of the twins' birth; approximately 98% self-identified as Caucasian. Children gave informed assent and parents gave informed consent for themselves and their child. The research protocol was approved by the University of Minnesota, Minneapolis, institutional review board. Further information regarding all of the aspects of Minnesota Twin Family Study recruitment is detailed elsewhere.18

The current sample comprised 93% of the 11-year-old girls who completed their first 3-year follow-up assessment (n = 708). Of these, 436 were monozygotic (MZ) (identical) twins and 272 were dizygotic (DZ) (fraternal) twins. Participants ranged in age from 13.6 to 16.9 years, averaging 14.8 years, during their first follow-up visit. Monozygotic twins are slightly more common than DZ twins in the population from which our sample was drawn.19 From 1971 to 1984, there were 4.09 MZ twin pairs and 2.60 like-sex DZ twin pairs per 1000 births, for an MZ-DZ ratio of 1.57:1.00. The preponderance of MZ twin pairs reflects this, with an MZ-DZ ratio of 1.60:1.00.

ZYGOSITY DETERMINATION

Zygosity was determined by the agreement of several separate estimates: (1) parents completed a standard zygosity questionnaire; (2) Minnesota Twin Family Study staff evaluated visage, hair color, and face and ear shape for physical similarity; and (3) ponderal and cephalic indices and fingerprint ridge counts were measured. A serological analysis was performed when the 3 estimates did not agree. This method was found to be highly accurate.18,20

CONDUCT DISORDER

A DSM-III-R symptom-count variable was used in the study (DSM-III-R was current at the time of the assessment). This variable corresponds to the number of endorsed criterion A symptoms of CD. During their follow-up visit, all of the participants and their parents were assessed in person by trained bachelor’s- and master’s-level interviewers for DSM-III-R mental disorders. Conduct disorder was assessed using the Diagnostic Interview for Children and Adolescents–Revised.21 Of the 13 possible symptoms, only symptom 9 (“has forced someone into sexual activity with him or her”) was not assessed. Mothers and twins were interviewed by separate interviewers. The reporting period consisted of symptoms present in the last 3 years. Mothers reported on symptom presence in both twins whereas twins reported only on symptom presence in themselves.

Following the interview, a clinical case conference was held in which the evidence for every symptom was discussed by at least 2 advanced clinical psychology doctoral students. Mother and child interviews were not discussed during the same case conference. As necessary, audiotapes from the interview were replayed or the participant was recontacted for clarification. Only the symptoms judged to be clinically significant in both severity and frequency were considered present. As actual diagnoses were not used in the current study, duration rules were excluded. The reliability of the consensus process was good, with a κ statistic of 0.79 for diagnoses of CD.

After clinically significant symptoms were assigned, computer algorithms were used to sum the number of assigned symptoms using a combined informant approach. A symptom was considered present if it was endorsed by either the mother or the child. Symptom endorsement by both mother and child counted as only 1 symptom. Previous studies22,23 have indicated that each type of informant contributes a considerable amount of valid information not contributed by other informants, allowing for a more complete assessment of symptoms.

In this way, we created a symptom count corresponding to CD criteria in DSM-III-R. Symptom counts rather than diagnoses were used primarily to increase statistical power, as diagnostic prevalence rates in community-based samples such as the Minnesota Twin Family Study are lower than in clinically referred samples. Also, available data indicate that patterns of genetic and environmental influence are similar for categorical and dimensional models of psychopathology.2428 To better approximate normality, we rank-normalized and Blom-transformed our CD symptom count (the skew following transformation was 2.0).

TIMING OF MENARCHE

The Pubertal Development Scale29 was used to assess pubertal development in the areas of height spurts, body hair growth, skin changes, breast development, and menarche, or initiation of menses. Our study made use of the final, dichotomously coded variable, onset of menses. Menarche data were available for 688 of the 708 participants. By convention,2,6 girls who had begun menstruating (n = 644) were then split into 3 groups: those with precocious menarche (ie, onset at age ≤11 years; 20% of the sample), those with an average timing of menarche (ie, onset at age 12-13 years; 62% of the sample), and those with delayed onset of menses (ie, age >13 years; 12% of the sample). The number of menstruating girls in each category is presented in Table 1. Further, there were 44 girls (6%) who had yet to begin menstruating. Of these, 28 were aged 14 or 15 years at the time of their assessment whereas the remaining 16 were within 4 months of their 14th birthday. As done in prior work,1 these 44 girls were added to the delayed group, enabling us to maximize the number of participants with timing of menarche data.

Table Graphic Jump LocationTable 1. Descriptive Data for Age at Menarche and Conduct Disorder
STATISTICAL ANALYSES

The structural equation modeling used in our study uses twin methods. Twin studies make use of the difference in the proportion of genes shared between MZ twins, who share 100% of their genetic material, and DZ twins, who share an average of 50% of their segregating genetic material. Monozygotic and DZ twin correlations are compared to estimate the relative contributions of additive genetic effects (a2), shared environmental effects (c2) (ie, factors that make family members similar to each other), and nonshared environmental effects plus measurement error (e2) (ie, factors that make family members different from each other) to the variance within observed behaviors or characteristics (phenotypes). More information on twin studies is provided elsewhere.30

We conducted 2 sets of analyses. First, we made use of a standard bivariate biometric model in which the variance within and the covariance between CD and timing of menarche were separated into their genetic and environmental components. We also computed genetic and environmental correlations that specify the proportion of genetic and environmental overlap between CD and timing of menarche. For example, a genetic correlation of 1.0 would indicate that all genetic influences are common to both phenotypes whereas a correlation of 0 would indicate no genetic overlap. Thus, this model enabled us to explicitly estimate the extent to which genetic influences contributed to the covariation between the phenotypes.

A structural equation modeling program, Mx,31 was used to perform the model-fitting analyses. The Mx program uses maximum-likelihood model-fitting techniques to fit models to covariance matrices. The χ2 statistic provides a goodness-of-fit index of the model to observed variance-covariance matrices. Statistically significant χ2 values reflect a poor fit. The Akaike Information Criterion (AIC),32 which measures model fit relative to parsimony, was also used to determine the best-fitting model among a set of fitted models, with the lowest (or most negative) AIC considered best.

Second, we evaluated whether and how timing of menarche moderated genetic and environmental influences on CD. To do so, we fit a series of nested moderator models (of note, twins are not required to be concordant on the value of the moderator).33,34 The first model functioned as a baseline main effects model in which only the genetic, shared environmental, and nonshared environmental path estimates or intercepts were computed. In the second and third models, we respectively added linear and then nonlinear genetic, shared environmental, and nonshared environmental moderators to the model. These models could detect whether there were linear or nonlinear shifts in the amount of genetic and environmental variance in CD with timing of menarche.

Because these models effectively involve fitting a separate biometric model for each individual as a function of their menarcheal timing, they require the use of full-information maximum-likelihood raw data techniques. The Mx program31 was used to fit models to the transformed raw data. The minimized value of minus twice the log likelihood (−2lnL) in the baseline main effects model was then compared with the −2lnL value obtained in the less restrictive linear moderator model to yield a likelihood-ratio χ2 test for the significance of the moderator effects. A significant improvement in fit over the baseline model indicated that the genetic and environmental estimates vary with the timing of menarche. Consistent with previous recommendations,33 the current models were run a minimum of 5 times using multiple start values to ensure that the obtained estimates minimized the −2lnL value.

The Pearson correlation between CD and timing of menarche (ie, 0 = late, 1 = average, and 2 = early) suggested a modest but significant positive association (r = 0.09, P = .02). However, as Pearson correlations are not ideally suited to examine trichotomous data and may be attenuated by significant genetic and environmental moderation,33 a comparison of the mean number of CD symptoms by timing of menarche (1-way analysis of variance, F2 = 3.45, P<.05) more clearly illustrates their association (Table 1). (These analyses were conducted on Blom-transformed data, which are better suited to statistical analysis because they better approximate normality. However, the corresponding raw symptom counts are presented in Table 1 to facilitate ease of presentation.) When comparing girls with 3 or more symptoms of CD (the number required for diagnosis) across timing of menarche status, those with early menarche were 1.29 times as likely to have CD as those with an average timing of menarche. Further, when including girls with a probable diagnosis (ie, ≥2 symptoms of CD), those with early menarche were 1.67 times as likely to have probable CD as those with an average timing of menarche and 2.38 times as likely as those with late menarche. Such findings collectively indicate that timing of menarche is linked to the number of CD symptoms present in adolescence. Of note, this association is not confounded with age at assessment, as timing of menarche is not associated with age at assessment (r = 0.01, P = .76).

To further determine whether this association is specific to CD symptoms beginning in childhood (ie, child onset) or adolescence (ie, adolescent onset),35 we next examined the association between timing of menarche and childhood-onset CD (as measured by lifetime CD evaluated at the intake assessment at age 11 years). We compared timing of menarche in those participants with (n = 117) and without (n = 572) childhood-onset CD symptoms using an independent samples t test. The mean age at menarche did not differ (mean ages at menarche, 12.34 and 12.47 years, respectively; P = .24), indicating that girls with early-onset CD did not have an earlier age at menarche. We next evaluated whether girls with precocious menarche had more early-onset CD symptoms than those with average or late timing of menarche. The mean number of symptoms again did not vary (mean number of symptoms, 0.25 and 0.23, respectively; P = .53). Such findings collectively indicate that early-onset menarche is not associated with higher rates of childhood-onset CD but instead appears to be specific to adolescent-onset CD (ie, those symptoms present between ages 11-14 years, as presented in Table 1). Moreover, these results lend support to the notion that early menarche precedes increases in the rate of CD symptoms.

BIVARIATE MODEL

Consistent with prior research,14 we found that although 42% of DZ pairs were discordant for timing of menarche, only 28% of MZ pairs were discordant, findings that offer a preliminary indication of genetic influences on menarcheal timing. We thus tested an ACE bivariate model in which the variance attributable to genetic factors (A), shared environmental factors (C), and unique environmental factors plus measurement error (E) were all estimated. The full model, presented in Figure 1, provided an adequate fit to the data (χ211 = 17.44, AIC = −4.56). The genetic correlation was near 0 and not significant (rgenetic =−0.06), indicating that the genetic contributions to CD do not overlap with those for timing of menarche. In contrast, the shared environmental correlation was estimated at 1.0 and accounted for roughly 95% of the covariance between CD and timing of menarche (that shared environmental influences account for only 2% of the variance in timing of menarche and yet account for such a high proportion of covariance reflects the modest correlation between these 2 phenotypes). Consistent with this, dropping the genetic and nonshared environmental covariance terms significantly improved the fit of the model (χ213 = 18.49, AIC = −7.51). Additionally dropping the shared environmental covariance term, however, significantly worsened the fit (χ214 = 22.13, AIC = −5.87, change in χ21 = 3.65, P = .06). These findings thereby suggest that shared environmental, rather than genetic, factors largely account for the association between CD and timing of menarche.

Place holder to copy figure label and caption
Figure 1.

Standardized path estimates of the additive genetic (A), shared environmental (C), and nonshared environmental (E) contributions to the variance within and covariance between conduct disorder (CD) and timing of menarche. Path coefficients were squared to index the percentage of variance accounted for (these percentages are indicated below their respective phenotypes, followed by their 95% confidence intervals in parentheses). Genetic and environmental correlations are indicated via the double-headed arrows in the upper portion of the diagram. Confidence intervals that do not overlap with 0 indicate statistical significance at P<.05.

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MODERATOR MODEL

Test statistics for a series of nested models are reported in Table 2. Constraining parameter estimates to be constant across timing of menarche resulted in a significant decrement of fit. The optimal fit of the nonlinear model suggests that the magnitude of genetic and environmental forces impacting CD vary both linearly and nonlinearly with timing of menarche. Of note, omitting those girls who had yet to begin menstruating and were younger than 14 years did not alter the findings in any meaningful way.

Table Graphic Jump LocationTable 2. Fit Statistics for Nested Models of Genetic, Shared Environmental, and Nonshared Environmental Parameter Estimates in Conduct Disorder*

For the best-fitting quadratic model, we then made use of the estimated paths and moderators (Table 3) to calculate and plot the standardized genetic and environmental variance components for each group. Because late status was coded as “0,” the path estimates functioned as intercepts. Thus, the genetic and environmental variance components for girls with late onset of menarche were obtained simply by squaring these path estimates. For those with average (ie, “1”) and early (ie, “2”) onset of menarche, linear (ie, A1, C1, E1) and nonlinear (ie, A2, C2, E2) moderators were added to these genetic and environmental paths using the following equation: variancegenetic = (a + A1[timing] + A2[timing2])2. These estimates were then standardized for each group (Figure 2). Although potentially problematic in moderator models, standardization does ease presentation of results. Moreover, in this case, the shifts in A, C, and E parameters look essentially identical in the unstandardized figure (not shown) (likely owing to the relatively constant variance in CD across menarcheal groups). Further, although residual skewness in the distribution of the phenotype can induce “a gentle trend for all variance components to be attenuated similarly at low levels of the moderator,”33 this effect was not present.

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Figure 2.

Standardized genetic (A), shared environmental (C), and nonshared environmental (E) variance contributions to conduct disorder by timing of menarche.

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Table Graphic Jump LocationTable 3. Unstandardized Path and Moderator Estimates in the Best-Fitting Models for Conduct Disorder by Timing of Menarche*

Genetic influences on CD were strongest (67%) for girls with an average age at menarche and were significantly smaller (as evidenced by the significant linear and nonlinear moderation parameters) for girls with early or late initiation of menses. This effect was particularly pronounced for those with early initiation of menses, as genetic influences on CD are quite modest (8%) for this group. In contrast, environmental influences appeared to be particularly salient for girls with early menarche and far less important for girls with on-time development. Shared environmental influences were weakest for those with an average age at menarche and stronger for those with early or late menarche. Nonshared environmental influences similarly appeared strongest for early-maturing girls as compared with on-time– or late-maturing girls (these effects were only nonlinearly moderated).

The primary aim of our study was to evaluate possible mechanisms underlying the association between the timing of menarche and CD symptoms in girls during mid adolescence. We began by confirming previous findings suggesting that those with precocious timing of menarche have higher rates of adolescent CD symptoms as compared with those with average or late initiation of menses.15 We then conducted 2 sets of structural equation analyses: (1) a bivariate model to determine whether CD and timing of menarche covaried as a function of genetic influences, and (2) biometric moderator analyses to evaluate whether and how timing of menarche impacted the etiology of CD. Our results supported neither genetic overlap nor exacerbation of the genetic influences on CD as a function of early menarche.2,8 Instead, we found that adolescent CD was largely environmental in origin for those with precocious and, to a lesser extent, delayed timing of menarche. Moreover, we found that although CD was particularly heritable for those with an average age at menarche, it was only minimally heritable for those with an early onset of menses, results that collectively provide support for an environmentally mediated link between adolescent CD and early menarche.

These findings mesh well with existing genetically informative literature. Only 1 other study has, to our knowledge, incorporated information on genetic relatedness into the examination of the link between menarcheal timing and adolescent behavioral outcomes. Dick et al6 compared rates of substance use in a subsample of 99 extremely discordant DZ twin pairs (ie, age at menarche differed by ≥2 years). Using this within-family design, they found evidence that the well-documented association between early menarche and the rate of substance use exists only in urban, not rural, settings. Similarly, several genetically uninformative, between-family studies1,3,5 have robustly supported contextual amplification of menarcheal timing effects via several mechanisms, including neighborhood disadvantage, harsh and inconsistent parental discipline, and a mixed-sex composition of the schools (vs all-girl schools). Such findings are quite consistent with our study's findings of predominantly environmental mediation of CD in early-maturing girls. In contrast, our findings are not consistent with those of Comings et al,8 who reported that the androgen receptor gene was responsible for the association of father absence with early menarche and behavioral problems in the daughters. It should be noted, however, that other investigators9 were also unable to reproduce the original findings.8

However, there are limitations to our study. First, as these data were not evaluated longitudinally and as the magnitude of genetic influences on delinquency varies across adolescence,36 we cannot be sure whether these effects will persist to later ages. Second, as the link between early pubertal timing and increased CD is less certain among boys,3 only girls were examined in the current study. As puberty in boys and girls involves different social and biological phenomena, it remains unclear whether these findings would generalize to boys. Future research should seek to evaluate the impact of early pubertal timing on CD longitudinally and in boys. Third, as with most behavioral genetic research, the current findings have only limited clinical utility. However, they do tentatively suggest that those with early-onset menarche may be somewhat more amenable to treatment of their adolescent-onset CD symptoms than those with later timing of menarche. Fourth, as with all twin studies, this study relies on the equal environments assumption for interpretation of the results. Evaluating the equal environments assumption was beyond the scope of our study (although it does appear tenable for many mental disorders).37

Finally, the 3-year assessment interval for CD symptoms allows for the possibility that symptoms desisted prior to initiation of menses. However, shortening the CD assessment interval to roughly 1 year did not appreciably alter our conclusions. We found that 80% of the symptoms were present within this interval and that their relationship with the timing of menarche remained unchanged. The nonlinear moderator model again fit the data best, with generally similar results (ie, CD was primarily environmental, and particularly shared environmental, in origin in girls with early-onset menses). Such findings further increase confidence in our results.

The findings presented herein have 2 important and interrelated implications. First, our findings of largely environmental mediation of CD for those girls with precocious menarche and, to a lesser extent, delayed menarche offer indirect support for psychosocial interpretations7,11 of the impact of these pubertal transitions. Thus, rather than resulting from masked genetic commonalities or an exacerbation of the genetic influences on CD, previous findings1,3,5 of contextual amplification of menarcheal timing effects may represent potent environmentally mediated influences on adolescent girls' mental health. Future research should seek to clarify which of the aforementioned contextual modulators may operate in this way.

Second, our findings expand the understanding of genetic influences on both CD and psychopathology in general. Although researchers often conceptualize gene-environment interactions such that high-risk environments exacerbate genetic influences on a disorder,17 our findings highlight another, somewhat older conceptualization of gene-environment interplay, that related to the “average, expectable” environment.38 In this case, genetic influences are thought to be most strongly expressed under normal to optimal environmental conditions. More extreme or unfavorable conditions may act as “environmental main effects,” such that differences in the trait are a function of differences in environmental circumstances rather than differences in genetic make-up.38 Findings from a study by Turkheimer et al34 of the moderation of genetic and environmental influences on IQ by socioeconomic status provide a nice example of this phenomenon. Turkheimer and colleagues found that individual differences in IQ were largely genetic in origin only for those children who grew up in families with a middle to high socioeconomic status. However, for children from disadvantaged backgrounds, individual differences in IQ were primarily a function of shared environmental influences. When viewed in conjunction with those of our study, such findings suggest that there may be particular disadvantageous conditions that exert an environmentally mediated effect on psychological or behavioral outcomes, effectively suppressing the normal expression of genetic influences. Future research should seek to clarify the means through which different forms of gene-environment interplay impact the development of mental illness.

Correspondence: S. Alexandra Burt, PhD, Department of Psychology, Michigan State University, 107D Psychology Building, East Lansing, MI 48824 (burts@msu.edu).

Submitted for Publication: August 22, 2005; final revision received October 31, 2005; accepted October 31, 2005.

Author Contributions: Dr Burt takes responsibility for the integrity of the data and the accuracy of the data analysis.

Funding/Support: This work was funded in part by grants DA05147, AA09367, AA11886, DA13240, and MH65137 from the US Public Health Service.

Previous Presentation: An earlier version of this work was presented as a poster at the annual meeting of the Behavioral Genetics Association; June 29 to July 3, 2005; Hollywood, Calif.

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Achenbach  TMMcConaughy  SHHowell  CT Child/adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol Bull 1987;101213- 232
PubMed
Eaves  LJSilberg  JLMeyer  JMMaes  HHSimonoff  EPickles  ARutter  MNeale  MCReynolds  CAErikson  MTHeath  ACLoeber  RTruett  KRHewitt  JK Genetics and developmental psychopathology, 2: the main effects of genes and environment on behavioral problems in the Virginia Twin Study of Adolescent Behavioral Development. J Child Psychol Psychiatry 1997;38965- 980
PubMed
Sherman  DKMcGue  MKIacono  WG Twin concordance for attention deficit hyperactivity disorder: a comparison of teachers' and mothers' reports. Am J Psychiatry 1997;154532- 535
PubMed
O'Connor  TGMcGuire  SReiss  DHetherington  EMPlomin  R Co-occurrence of depressive symptoms and antisocial behavior in adolescence: a common genetic liability. J Abnorm Psychol 1998;10727- 37
PubMed
Silberg  JRutter  MMeyer  JMaes  HHewitt  JSimonoff  EPickles  ALoeber  REaves  L Genetic and environmental influences on the covariation between hyperactivity and conduct disturbance in juvenile twins. J Child Psychol Psychiatry 1996;37803- 816
PubMed
Slutske  WSHeath  ACDinwiddie  SHMadden  PABucholz  KKDunne  MPStatham  DJMartin  NG Modeling genetic and environmental influences in the etiology of conduct disorder: a study of 2682 adult twin pairs. J Abnorm Psychol 1997;106266- 279
PubMed
Petersen  ACCrockett  LRichards  MBoxer  A A self-report measure of pubertal status: reliability, validity, and initial norms. J Youth Adolesc 1988;17117- 133
Plomin  RDeFries  JCMcClearn  GEMcGuffin  P Behavioral Genetics–Revised. 4th New York, NY Worth Publishers, WH Freeman & Co2001;
Neale  MC Mx: Statistical Modeling. 4th Richmond Dept of Psychiatry, University of Virginia1997;
Akaike  H Factor analysis and AIC. Psychometrika 1987;52317- 332
Purcell  S Variance components model for gene-environment interaction in twin analysis. Twin Res 2002;5554- 571
PubMed
Turkheimer  EHaley  AWaldron  MD'Onofrio  BGottesman  II Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 2003;14623- 628
PubMed
Moffitt  TE Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychol Rev 1993;100674- 701
PubMed
Lyons  MJTrue  WREisen  SAGoldberg  JMeyer  JMFaraone  SVEaves  LJTsuang  MT Differential heritability of adult and juvenile antisocial traits. Arch Gen Psychiatry 1995;52906- 915
PubMed
Hettema  JMNeale  MCKendler  KS Physical similarity and the equal environments assumption. Behav Genet 1995;25327- 335
PubMed
Scarr  SMcCartney  K How people make their own environments: a theory of genotype-environment effects. Child Dev 1983;54424- 435
PubMed

Figures

Place holder to copy figure label and caption
Figure 1.

Standardized path estimates of the additive genetic (A), shared environmental (C), and nonshared environmental (E) contributions to the variance within and covariance between conduct disorder (CD) and timing of menarche. Path coefficients were squared to index the percentage of variance accounted for (these percentages are indicated below their respective phenotypes, followed by their 95% confidence intervals in parentheses). Genetic and environmental correlations are indicated via the double-headed arrows in the upper portion of the diagram. Confidence intervals that do not overlap with 0 indicate statistical significance at P<.05.

Graphic Jump Location
Place holder to copy figure label and caption
Figure 2.

Standardized genetic (A), shared environmental (C), and nonshared environmental (E) variance contributions to conduct disorder by timing of menarche.

Graphic Jump Location

Tables

Table Graphic Jump LocationTable 1. Descriptive Data for Age at Menarche and Conduct Disorder
Table Graphic Jump LocationTable 2. Fit Statistics for Nested Models of Genetic, Shared Environmental, and Nonshared Environmental Parameter Estimates in Conduct Disorder*
Table Graphic Jump LocationTable 3. Unstandardized Path and Moderator Estimates in the Best-Fitting Models for Conduct Disorder by Timing of Menarche*

References

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Achenbach  TMMcConaughy  SHHowell  CT Child/adolescent behavioral and emotional problems: implications of cross-informant correlations for situational specificity. Psychol Bull 1987;101213- 232
PubMed
Eaves  LJSilberg  JLMeyer  JMMaes  HHSimonoff  EPickles  ARutter  MNeale  MCReynolds  CAErikson  MTHeath  ACLoeber  RTruett  KRHewitt  JK Genetics and developmental psychopathology, 2: the main effects of genes and environment on behavioral problems in the Virginia Twin Study of Adolescent Behavioral Development. J Child Psychol Psychiatry 1997;38965- 980
PubMed
Sherman  DKMcGue  MKIacono  WG Twin concordance for attention deficit hyperactivity disorder: a comparison of teachers' and mothers' reports. Am J Psychiatry 1997;154532- 535
PubMed
O'Connor  TGMcGuire  SReiss  DHetherington  EMPlomin  R Co-occurrence of depressive symptoms and antisocial behavior in adolescence: a common genetic liability. J Abnorm Psychol 1998;10727- 37
PubMed
Silberg  JRutter  MMeyer  JMaes  HHewitt  JSimonoff  EPickles  ALoeber  REaves  L Genetic and environmental influences on the covariation between hyperactivity and conduct disturbance in juvenile twins. J Child Psychol Psychiatry 1996;37803- 816
PubMed
Slutske  WSHeath  ACDinwiddie  SHMadden  PABucholz  KKDunne  MPStatham  DJMartin  NG Modeling genetic and environmental influences in the etiology of conduct disorder: a study of 2682 adult twin pairs. J Abnorm Psychol 1997;106266- 279
PubMed
Petersen  ACCrockett  LRichards  MBoxer  A A self-report measure of pubertal status: reliability, validity, and initial norms. J Youth Adolesc 1988;17117- 133
Plomin  RDeFries  JCMcClearn  GEMcGuffin  P Behavioral Genetics–Revised. 4th New York, NY Worth Publishers, WH Freeman & Co2001;
Neale  MC Mx: Statistical Modeling. 4th Richmond Dept of Psychiatry, University of Virginia1997;
Akaike  H Factor analysis and AIC. Psychometrika 1987;52317- 332
Purcell  S Variance components model for gene-environment interaction in twin analysis. Twin Res 2002;5554- 571
PubMed
Turkheimer  EHaley  AWaldron  MD'Onofrio  BGottesman  II Socioeconomic status modifies heritability of IQ in young children. Psychol Sci 2003;14623- 628
PubMed
Moffitt  TE Adolescence-limited and life-course-persistent antisocial behavior: a developmental taxonomy. Psychol Rev 1993;100674- 701
PubMed
Lyons  MJTrue  WREisen  SAGoldberg  JMeyer  JMFaraone  SVEaves  LJTsuang  MT Differential heritability of adult and juvenile antisocial traits. Arch Gen Psychiatry 1995;52906- 915
PubMed
Hettema  JMNeale  MCKendler  KS Physical similarity and the equal environments assumption. Behav Genet 1995;25327- 335
PubMed
Scarr  SMcCartney  K How people make their own environments: a theory of genotype-environment effects. Child Dev 1983;54424- 435
PubMed

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