Rather than a direct assessment, maternal ratings
of pubertal status were used to assess the twins» pubertal development.
At each wave of assessment, parents completed the parent version of Carskadon and Acebo's (1993) self - report
of pubertal status.
Age - independent effects
of pubertal status on behavioral constraint in healthy adolescents.
A whole - brain regression using AFNI's 3dRegana was conducted to identify areas showing a main effect
of pubertal status on response to rejection and / or acceptance controlling for the effects of chronological age.
However, the lack of a moderating effect
of pubertal status on age - and sex - adjusted BMI z scores and any metabolic parameter indicates that the same caution is required when treating younger children and adolescents.
Self - report measure
of pubertal status: reliability, validity, and initial norms.
Not exact matches
Pearson correlations and t tests were conducted to explore variation in brain volumes related to children's sex, age,
pubertal status, history
of psychiatric disorders (yes / no), and children's history
of psychotropic medication use (yes / no).
For analyses
of white matter volume, children's age and
pubertal status were also included as covariates.
Results showed that the participants who had used ICT on an average three hours the preceding day showed a significantly reduced cortisol increase one hour after awakening (awakening response) com - pared to those who had used ICT not at all or less than one hour after controlling for
pubertal status and the level
of depression.
The use
of classical methods for assessing
pubertal status may not be feasible in some studies, especially in male adolescents.
Measures utilized included assessment
of tobacco and marijuana use and health - risking sexual behaviors, placement change, and
pubertal status.
The objective
of this study was to test a comprehensive model
of biologic (
pubertal status), family (communication and conflict), and psychological influences (behavioral autonomy) on diabetes management and glycemic control in a sample
of youth (N = 226) with type 1 diabetes recruited during late childhood / early adolescence (ages 9 — 11 years).
When examining models
of depression from a developmental perspective, age may be preferred over
pubertal status, as age is a less complex variable.
This pattern
of results, confirmed by additional calculations described by Cohen and Cohen (1983), indicated that
pubertal status was a suppressor variable.
The two - way interaction age (or
pubertal status) by gender (included in all models under test) was not significant; whereas it would be expected that girls report more depressive symptoms as level
of maturation (age /
pubertal status) increases compared to boys.
The analyses with
pubertal status instead
of age yielded different results with regard to the main models.
Results showed that although the four - way interaction between NCS, stressors, gender, and age was significant while the four - way interaction with
pubertal status was marginally significant, the interpretation
of these interactions was largely similar, i.e., NCS and depressive symptoms were significantly related only in the presence
of many stressors in middle to late adolescent boys (or in boys reporting a high
pubertal status).
Moderation by
pubertal status instead
of age yielded slightly different results, that is, in the model with stress - reactive rumination, the relationship between negative cognitive style and depressive symptoms was stronger in adolescents who perceived their
pubertal status as high, whereas age did not moderate this relationship.
Perceived
pubertal status, reflecting the subjective experience
of morphological changes related to puberty (Angold and Costello 2006), may be a more sensitive moderator
of NCS than age.
The role
of autonomy and
pubertal status in understanding age differences in diabetes responsibility across adolescence
Child - reported depression was assessed using the Child and Adolescent Psychiatric Interview and ratings
of past - year life events and
pubertal status obtained by maternal questionnaire and interview, respectively.
Some support has been found for an association between hormonal concentrations and negative affect20 - 24; however, social factors, including negative life events and their interaction with
pubertal status (but not hormonal
status), account for more
of the variance in negative affect than biological factors alone.25 Early
pubertal timing and its social implications have also been postulated as an important risk factor in girls.26 - 31 Two recent studies, however, report that
pubertal status has a greater influence in predicting female depression than age32, 33 or the timing
of puberty.32
The results for
pubertal status and age are strikingly similar, indicating that after controlling for the effect
of all the other variables in the regression model, the impact
of life events on depression is significantly greater in the
pubertal girls (sex ×
pubertal status [age] × life events interaction).
Because
of the marked collinearity between age and
pubertal status, we were unable to estimate the effects
of these 2 variables simultaneously.
Under 2 separate regression models (1 for
pubertal status and 1 for age), each variable's partial sums
of squares and associated probability were used to examine these effects in the 2 sexes together (Table 1).
Future studies
of the sources and consequences
of EV may also want to include
pubertal status, as
pubertal status has been related to both depressive and aggressive affect (Brooks - Gunn et al. 1994), and recent evidence shows that
pubertal status and emotional reactivity to experimentally induced stress interact in the prediction
of internalizing symptoms (Leen - Feldner et al. 2007).