Some comparative aspects of a longitudinal growth study in normal spanish children and other longitudinal studies

1986 ◽  
Vol 113 (4_Suppl) ◽  
pp. S93-S97 ◽  
Author(s):  
A. FERRANDEZ ◽  
E. MAYAYO ◽  
M. RODRIGUEZ ◽  
J.M. ARNAL ◽  
J. CARO ◽  
...  

Abstract The differences existing among some european longitudinal growth studies make it necessary to be cautious in the use of standards constructed on different populations. The improvement of the environmental conditions during the last 20 years is probably the most important cause of the "catch-up" phenomenon of the spanish stature. It is probable that racial characteristics also play a role, even in the same country as can be appreciated on comparing two spanish longitudinal studies based on children originary from different regions. All of wich indicates the need to use own standards in those countries wich, like ours, have lived through a period of intenses changes. Even exploratory studies of regional differences in the same country seem necesary.

1977 ◽  
Vol 16 (04) ◽  
pp. 210-215
Author(s):  
M. A. van’t Hof ◽  
S. H. J. Veling ◽  
C. J. Kowalski

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.


Author(s):  
Paraskevi Massara ◽  
Charles D G Keown-Stoneman ◽  
Lauren Erdman ◽  
Eric O Ohuma ◽  
Celine Bourdon ◽  
...  

Abstract Background Most studies on children evaluate longitudinal growth as an important health indicator. Different methods have been used to detect growth patterns across childhood, but with no comparison between them to evaluate result consistency. We explored the variation in growth patterns as detected by different clustering and latent class modelling techniques. Moreover, we investigated how the characteristics/features (e.g. slope, tempo, velocity) of longitudinal growth influence pattern detection. Methods We studied 1134 children from The Applied Research Group for Kids cohort with longitudinal-growth measurements [height, weight, body mass index (BMI)] available from birth until 12 years of age. Growth patterns were identified by latent class mixed models (LCMM) and time-series clustering (TSC) using various algorithms and distance measures. Time-invariant features were extracted from all growth measures. A random forest classifier was used to predict the identified growth patterns for each growth measure using the extracted features. Results Overall, 72 TSC configurations were tested. For BMI, we identified three growth patterns by both TSC and LCMM. The clustering agreement was 58% between LCMM and TS clusters, whereas it varied between 30.8% and 93.3% within the TSC configurations. The extracted features (n = 67) predicted the identified patterns for each growth measure with accuracy of 82%–89%. Specific feature categories were identified as the most important predictors for patterns of all tested growth measures. Conclusion Growth-pattern detection is affected by the method employed. This can impact on comparisons across different populations or associations between growth patterns and health outcomes. Growth features can be reliably used as predictors of growth patterns.


1986 ◽  
Vol 144 (13) ◽  
pp. 677-679 ◽  
Author(s):  
Johanna F. Coy ◽  
Robert K. Lowry ◽  
David A. Ratkowsky

Author(s):  
Tudor PĂPUC ◽  
Daniel COCAN ◽  
Călin LAŢIU ◽  
Paul UIUIU ◽  
Vioara MIREȘAN

Spirlin (Alburnoides bipunctatus) is found in great numbers in most Transylvanian rivers. The species has an important role in the ecosystems in which it is found in terms of feeding and habitat occupation. The morphmetric characthers of this species vary between different habitats, outlining morphometric plasticity. Morphometric profiles were made for different populations of Spirlin, to evaluate differences in body shape. Considering that different environmental conditions influence the morphology of Spirlin populations, morphometric characteristics were determined. In order to assess differences in spirlin body shape, specimens from the four major Transylvanian catchments were collected by angling techniques. The specimens were preserved and transported to the University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, where morphometric measurements and weight determinations were conducted in the Physiology of Aquatic Organisms Laboratory. Spirlin from Mures, Somes, Cris and Viseu catchments were studied, as it follows: 21 specimens from Aries River (Mures catchment), 61 specimens from the river Crisul Repede (Cris catchment), 21 specimens from Somesul Mic River (Somes catchment) and 20 specimens from Viseu River. A number of 39 determinations were made. The obtained results reflect the morphometric differences among populations of Spirlin from some Transylvanian main rivers.


2007 ◽  
Vol 34 (2) ◽  
pp. 226-239 ◽  
Author(s):  
I. Salces ◽  
E. Rebato ◽  
C. Susanne ◽  
R. C. Hauspie ◽  
R. Saha ◽  
...  

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