Height-based Indices of Pubertal Timing in Male Adolescents.
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ABSTRACT:
SUBMITTER: Khairullah A
PROVIDER: S-EPMC4456039 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Publications
Height-based Indices of Pubertal Timing in Male Adolescents.
Khairullah Ammar A May Margaret T MT Tilling Kate K Howe Laura D LD Leonard Gabriel G Perron Michel M Richer Louis L Veillette Suzanne S Pausova Zdenka Z Paus Tomáš T
International journal of developmental science 20130101 2
It is important to account for timing of puberty when studying the adolescent brain and cognition. The use of classical methods for assessing pubertal status may not be feasible in some studies, especially in male adolescents. Using data from a sample of 478 males from a longitudinal birth cohort, we describe the calculations of three independent height-based markers of pubertal timing: Age at Peak Height Velocity (APHV), Height Difference in Standard Deviations (HDSDS), and Percent Achieved of ...[more]
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Project description:OBJECTIVE:To examine the relationship between pubertal timing (using measures of height tempo) and proximal femur shape in a large adolescent cohort. METHODS:Hip DXA scans were obtained in offspring from the Avon Longitudinal Study of Parents and Children. To quantify hip morphology, the images were analyzed using Shape software based on a 53-point statistical shape model and independent modes of variation (hip shape mode (HSM) scores) for each image were generated. Height tempo (which corresponds to age at peak height velocity (aPHV)) was estimated from serial height measurements collected between age 5-20 years. Multivariable linear regression was used to examine cross-sectional associations between height tempo and the top ten HSMs at age 14 and 18, adjusting for sex and fat mass index (FMI). RESULTS:Complete outcome and covariate data were available from 3827 and 3507 participants at age 14 and 18 years, respectively. Mean aPHV was 13.5 and 11.8 years for males and females, respectively. At age 14, height tempo was associated with a majority of modes, except for HSM4 and there was strong evidence of interaction by sex. In males, all modes showed evidence of an association with tempo, independent of FMI, with the strongest observed for HSM8 (adjusted ? 0.38 (0.33, 0.43) p = 4.1 × 10-50). Compared with males, the associations were generally weaker in females, with the strongest effect observed for HSM8 (adjusted ? 0.10 (0.05, 0.14) p = 1.6 × 10-5). The overall effect of later pubertal timing on proximal femur shape in males was a narrower femoral neck and larger superolateral head, whereas in females these changes were hard to discern. When assessed at age 18, there was little relationship between tempo and proximal femur shape in either sex. CONCLUSION:Our results indicate that significant changes in hip shape occur during puberty, including aspects of shape which may be related to future risk of hip OA and/or fracture. However, puberty timing per se does not appear to exert long lasting effects on proximal femur shape.
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Project description:Autism spectrum disorder (ASD) is characterized by impaired social communication and poor adaptation to change; thus, the onset of puberty may be a pivotal transition. This cross-sectional study measured pubertal timing to examine hypothesized differences for sex (female vs. male) and group (ASD vs. typical development [TD]). Participants included 239 children (137 ASD, 102 TD) between 10 and 13 years. The ASD group included 35 females and 102 males; the TDs included 44 females and 58 males. Pubertal onset measured by genital or pubic stage was investigated with linear regression using main effects of sex and age-by-sex interactions in TD and ASD groups and main effects of diagnosis and diagnosis-by-age interactions in males and females, controlling for body mass index, socioeconomic status, and race. In TD, examination of main effects for genital (penis/breast) stage showed no difference for male and female children (t = 1.33, P = 0.187, rdf = 92); however, there were significant differences in ASD (t = 2.70, P = 0.008, rdf = 121). For diagnosis modeled separately by sex, there was significantly earlier pubertal development in females with ASD (t = 1.97, P = 0.053, rdf = 70, but not males (t = 1.329, P = 0.186, rdf = 143). In addition, analysis of menses revealed females with ASD had significantly earlier onset than TD (t = -2.56, P = 0.018, rdf = 21). Examination of pubic stage revealed expected sex differences for TD (t = 2,674, P = 0.009, rdf = 91) and ASD (t = 3.482, P = 0.001, rdf = 121). Females with ASD evidence advanced pubertal onset relative to ASD males and TD females. Findings underscore the need for enhanced understanding of pubertal development in ASD, as differences may have significant psychological, social, physiological, and developmental consequences. LAY SUMMARY: Children with autism spectrum disorder (ASD) have difficulty with social communication and respond poorly to change, which may include the onset and course of puberty. The study measured the timing of puberty in 239 children (137 ASD and 102 typical development [TD]) between 10 and 13 years based on pubertal stage of genital (breast/penis) and pubic hair development. Females with ASD evidence advanced pubertal onset relative to ASD males and TD females. Findings underscore the need for an enhanced understanding of pubertal development in ASD.
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Project description:BackgroundBisphenol A (BPA) is an environmental endocrine disruptor and is found in many consumer products. Studies suggest that BPA may perturb pubertal development, although evidence on BPA-influenced pubertal height growth is scarce.MethodsA total of 754 children aged 9-18 years from three schools (one elementary, one middle, and one high school) in Shanghai were included in this longitudinal study. Height was measured at enrolment (visit 1) and, subsequently, at 19 months after enrolment (visit 2). Age- and sex-specific Z scores for height were calculated (height Z score?=?[participant's height-sex- and age-specific population height mean]/sex- and age-specific population height standard deviation). Urine samples were collected at enrolment to measure BPA concentrations. We used multiple linear regression models or general estimating equation models (GEE) to estimate associations between urine BPA level and height Z score.ResultsThe geometric mean of urine BPA concentrations was 1.6??g/L (95%CI: 1.4, 1.8) or 1.2??g/g creatinine (95%CI: 1.0, 1.3). An inverse association between urine BPA level and height was observed in boys. After adjustment for potential confounders, height Z score at enrolment in boys decreased by 0.49 for the highest exposure level (above 10.9??g/g creatinine as the 90th percentile), compared with the lowest BPA exposure (below 0.2??g/g creatinine as the 25th percentile) (95%CI: -0.96, -0.01; p-trend?=?0.024). The inverse association remained between BPA exposure and height Z score at visit 2. The GEE model showed that a 1-unit increase in log10-transformed BPA concentrations was associated with a 0.15-point decrease in height Z score over the follow-up (95%CI: -0.30, -0.01). BPA was not associated with height growth in girls.ConclusionsOur findings indicate an inverse association between urine BPA level and height growth in boys. These findings need to be confirmed in further studies.
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