The genetic contribution to pubertal growth and development studied by longitudinal growth data on twins

1983 ◽  
Vol 10 (2) ◽  
pp. 163-171 ◽  
Author(s):  
J.C. Sharma
Keyword(s):  
Growth And Development ◽  
Longitudinal Growth ◽  
Genetic Contribution ◽  
Growth Data ◽  
Pubertal Growth

scholarly journals Pubertal growth in normal Thai children: a longitudinal study

2010 ◽  
Vol 4 (5) ◽  
pp. 793-795
Author(s):  
Suttipong Wacharasindhu ◽  
Vichit Supornsilchai ◽  
Suphab Aroonparkmongkol ◽  
Thaninee Sahakitrungrueng
Keyword(s):  
Longitudinal Study ◽  
Growth Parameters ◽  
Longitudinal Growth ◽  
Compensatory Mechanism ◽  
Growth Data ◽  
Clinical Practices ◽  
Normal Children ◽  
Pubertal Onset ◽  
Pubertal Growth ◽  
Height Gain

Abstract Background: Pubertal growth data in Thai children has been reported as cross-sectional studies. There is no longitudinal study in Thai children. Objective: Investigate the longitudinal growth data in normal Thai children including the relationship between age at pubertal onset and other growth parameters. Material and method: Eighty-eight normal children (44 boys, 44 girls) were longitudinally assessed for the growth and puberty until they reached their final adult height. Pubertal staging was assessed by the Tanner method. Results: Mean age of pubertal onset was 10.2 ± 1.2 years for girls and 12.2 ± 1.0 years for boys. Total pubertal height gain was 18.3 ± 4.0 cm for girls and 22.3 ± 4.4 cm for boys. Total pubertal height gain had a negative correlation with age at pubertal onset for girls, but not for boys. Conclusion: The onset of puberty was not much changed from previous studies. Girls with early puberty had a higher pubertal height gain. This might be due to a compensatory mechanism. These longitudinal growth data can be used as a reference in clinical practices for Thai children.

Growth and Development of Short and Long Season Sweet Potatoes in Sub-Tropical Australia

1976 ◽  
Vol 12 (4) ◽  
pp. 385-394 ◽  
Author(s):  
D. O. Huett ◽  
G. H. O'Neill
Keyword(s):  
Growth And Development ◽  
Dry Matter ◽  
Storage Root ◽  
Growth Data ◽  
Sweet Potatoes ◽  
Matter Production ◽  
Whole Plant ◽  
Tropical Australia ◽  
Temperate Environment ◽  
And Storage

SUMMARYThe growth and development of a short-season sweet potato (Nemagold) and a long-season cultivar (White Maltese) were compared quantitatively in sub-tropical Australia and also with growth data for Nemagold in a temperate environment. Total and storage root dry matter production (DMP) followed autocatalytic equations, with similar whole plant DMP from planting to week 25 for both cultivars but plateauing (at 90% of asymptotic weight) at week 23 for Nemagold (448 g) with favourable temperatures and at week 38 for White Maltese (813 g) when temperatures were unfavourable. Storage root DMP of Nemagold plateaued at week 23 (246 g) and at week 36 (219 g) for White Maltese. Data are given on other attributes and on phasic development.

The impact of random-effect misspecification on percentile estimation for longitudinal growth data

2012 ◽  
Vol 31 (28) ◽  
pp. 3708-3718 ◽  
Author(s):  
Kyeongmi Cheon ◽  
Paul S. Albert ◽  
Zhiwei Zhang
Keyword(s):  
Random Effect ◽  
Longitudinal Growth ◽  
Growth Data ◽  
Percentile Estimation ◽  
The Impact

scholarly journals Multilevel growth curve models that incorporate a random coefficient model for the level 1 variance function

2017 ◽  
Vol 27 (11) ◽  
pp. 3478-3491 ◽  
Author(s):  
Harvey Goldstein ◽  
George Leckie ◽  
Christopher Charlton ◽  
Kate Tilling ◽  
William J Browne
Keyword(s):  
Random Effects ◽  
Repeated Measures ◽  
Random Effect ◽  
Growth Function ◽  
Individual Variability ◽  
Growth Patterns ◽  
Variance Function ◽  
Longitudinal Growth ◽  
Growth Data ◽  
The Mean

Aim To present a flexible model for repeated measures longitudinal growth data within individuals that allows trends over time to incorporate individual-specific random effects. These may reflect the timing of growth events and characterise within-individual variability which can be modelled as a function of age. Subjects and methods A Bayesian model is developed that includes random effects for the mean growth function, an individual age-alignment random effect and random effects for the within-individual variance function. This model is applied to data on boys’ heights from the Edinburgh longitudinal growth study and to repeated weight measurements of a sample of pregnant women in the Avon Longitudinal Study of Parents and Children cohort. Results The mean age at which the growth curves for individual boys are aligned is 11.4 years, corresponding to the mean ‘take off’ age for pubertal growth. The within-individual variance (standard deviation) is found to decrease from 0.24 cm2 (0.50 cm) at 9 years for the ‘average’ boy to 0.07 cm2 (0.25 cm) at 16 years. Change in weight during pregnancy can be characterised by regression splines with random effects that include a large woman-specific random effect for the within-individual variation, which is also correlated with overall weight and weight gain. Conclusions The proposed model provides a useful extension to existing approaches, allowing considerable flexibility in describing within- and between-individual differences in growth patterns.

scholarly journals Growth and Development of Ipomoea Weeds

2019 ◽  
Vol 37 ◽  
Author(s):  
A.A.M. BARROSO ◽  
P.S.H. FERREIRA ◽  
D. MARTINS
Keyword(s):  
Growth And Development ◽  
Winter Season ◽  
Total Biomass ◽  
Growth Data ◽  
Leaf Production ◽  
Cycle Times ◽  
Randomized Design ◽  
Periodic Growth ◽  
Productive Potential ◽  
Number Of Leaves

ABSTRACT: Weeds reduce the productive potential of crops. Plants of the Ipomoea genus, besides competing for water, light, space and nutrients, create problems in crop harvests due to their volatile stems. The objective of this work was to evaluate the growth and development of five Ipomoea species. For such, Ipomoea grandifolia, Ipomoea hederifolia, Ipomoea nil, Ipomoea purpurea and Ipomoea quamoclit plants were analyzed during the summer and winter season. Five destructive and periodic growth evaluations were carried out for each study, where leaf number, leaves, stems, roots and the total biomass were analyzed. Phenological stages of the plant development were also evaluated for emergence, flowering and maturation sub-periods by degree-days, totalizing five treatments, conducted in a completely randomized design with four replicates. The phenology averages were analyzed according to the Hess scale, and the growth data through nonlinear regressions. I. quamoclit and I. grandifolia obtained the highest number of leaves in the summer and the winter, respectively. I. nil obtained greater accumulation of leaf and stem dry biomass in both seasons. I. grandifolia obtained greater root development in both periods. I. quamoclit presented reduced cycle times when compared to the other species, especially I. hederifolia and I. grandifolia, which presented larger cycles. Based on the results, I. grandifolia probably shows greater interference with agricultural crops due to high root growth, high leaf production and longer cycle. Shorter-cycle species, such as I. quamoclit, when present, should require shorter residual control periods.

Somatomedin A in male puberty. Variation with age, maturity, growth and androgens

1984 ◽  
Vol 107 (3) ◽  
pp. 312-316 ◽  
Author(s):  
Søren Krabbe ◽  
Knud William Kastrup ◽  
Lotte Hummer
Keyword(s):  
Growth And Development ◽  
Peak Height ◽  
Pubic Hair ◽  
Height Velocity ◽  
Serum Concentrations ◽  
Peak Height Velocity ◽  
Pubertal Growth ◽  
The Mean ◽  
Hair Development ◽  
Mean Trend

Abstract. Bioassayable somatomedin-A (SM-A) and serum concentrations of testosterone (T) and dehydroepiandrosterone (DHEA) were determined longitudinally in 26 normal boys during puberty. The mean trend of SM-A increased in relation to age, pubic hair development and peak height velocity (PHV) and significant correlations were observed with testicular volume, height velocity and T (all P < 0.001) but not with DHEA. In relation to growth SM-A increased mainly during 12 to 6 months prior to PHV but no further increase was seen in the 6 months thereafter. Thus pubertal growth and development have to be taken into account in the evaluation of changes in bioassayable SM-A concentrations in boys.

Data Processing Problems for Multidisciplinary, Mixed-Longitudinal Studies with Application to the Nijmegen Growth Study

1977 ◽  
Vol 16 (04) ◽  
pp. 210-215
Author(s):  
M. A. van’t Hof ◽  
S. H. J. Veling ◽  
C. J. Kowalski
Keyword(s):  
Data Processing ◽  
Longitudinal Studies ◽  
Growth And Development ◽  
Longitudinal Growth ◽  
Growth Study ◽  
Growth Studies ◽  
Complex Computer

As more complex, computer-oriented studies of growth and development are undertaken, it becomes increasingly important that investigators contemplating the initiation of such studies are aware of some of the data processing problems they are likely to encounter. The present paper discusses some of these problems in the context of multidisciplinary, mixed-longitudinal growth studies and the solutions implemented in the Nijmegen Growth Study are documented.

London Archive of Longitudinal Growth Data

1986 ◽  
Vol 13 (2) ◽  
pp. 179-182
Author(s):  
J.M. Tanner ◽  
L.A. Cox
Keyword(s):  
Longitudinal Growth ◽  
Growth Data
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