scholarly journals Developmental trajectories of body mass index throughout the life course: an application of Latent Class Growth (Mixture) Modelling

2011 ◽  
Vol 2 (3) ◽  
Keyword(s):  
Body Mass Index ◽  
Life Course ◽  
Body Mass ◽  
Latent Class ◽  
Developmental Trajectories ◽  
Mixture Modelling ◽  
Growth Mixture ◽  
Growth Mixture Modelling ◽  
The Life Course ◽  
Latent Class Growth

scholarly journals Group‐based trajectory modeling of body mass index and body size over the life course: A scoping review

2020 ◽  
Author(s):  
Vanessa De Rubeis ◽  
Alessandra T. Andreacchi ◽  
Isobel Sharpe ◽  
Lauren E. Griffith ◽  
Charles D. G. Keown‐Stoneman ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Size ◽  
Life Course ◽  
Body Mass ◽  
Scoping Review ◽  
Trajectory Modeling ◽  
The Life Course

Associations of types of green space across the life-course with blood pressure and body mass index

2020 ◽  
Vol 185 ◽  
pp. 109411 ◽  
Author(s):  
Marcia P. Jimenez ◽  
Gregory A. Wellenius ◽  
Peter James ◽  
S.V. Subramanian ◽  
Stephen Buka ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Life Course ◽  
Body Mass ◽  
Green Space ◽  
The Life Course

Developmental trajectories of psychotic-like experiences across adolescence: impact of victimization and substance use

2010 ◽  
Vol 41 (1) ◽  
pp. 47-58 ◽  
Author(s):  
C. J. Mackie ◽  
N. Castellanos-Ryan ◽  
P. J. Conrod
Keyword(s):  
Substance Use ◽  
Developmental Trajectories ◽  
Cigarette Use ◽  
Depression And Anxiety ◽  
Class Membership ◽  
Time Points ◽  
Mixture Modelling ◽  
Adolescent Population ◽  
Growth Mixture ◽  
Growth Mixture Modelling

BackgroundResearch suggests that psychotic-like experiences (PLEs) in the general population are common, but can reflect either transitory or persistent developmental phenomena. Using a general adolescent population it was examined whether different developmental subtypes of PLEs exist and whether different trajectories of PLEs are associated with certain environmental risk factors, such as victimization and substance use.MethodSelf-reported PLEs were collected from 409 adolescents (mean age 14 years 7 months) at four time points, each 6 months apart. General growth mixture modelling was utilized to identify classes of adolescents who followed distinct trajectories of PLEs across this period. Predictors of class membership included demographics, personality, victimization, depression, anxiety and substance use.ResultsWe identified the following three developmental subgroups of PLEs: (1) persistent; (2) increasing; (3) low. Adolescents on the persistent trajectory reported frequent victimization and consistent elevated scores in depression and anxiety. Adolescents on the increasing trajectory were engaging in cigarette use prior to any increases in PLEs and were engaging in cocaine, cannabis and other drug use as PLEs increased at later time points.ConclusionsThe findings suggest that different developmental subgroups of PLEs exist in adolescence and are differentially related to victimization and substance use.

scholarly journals Modeling the natural history of fatty liver using lifestyle–related risk factors: Effects of body mass index (BMI) on the life–course of fatty liver

PLoS ONE ◽  
2019 ◽  
Vol 14 (10) ◽  
pp. e0223683 ◽  
Author(s):  
Mika Aizawa ◽  
Seiichi Inagaki ◽  
Michiko Moriyama ◽  
Kenichiro Asano ◽  
Masayuki Kakehashi
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Natural History ◽  
Life Course ◽  
Fatty Liver ◽  
Body Mass ◽  
Related Risk ◽  
History Of ◽  
The Life Course

scholarly journals Sex differences in ADHD trajectories across childhood and adolescence

2018 ◽  
Author(s):  
Aja Louise Murray ◽  
Tom Booth ◽  
Manuel Eisner ◽  
Bonnie Auyeung ◽  
George Murray ◽  
...  
Keyword(s):  
Sex Differences ◽  
Secondary School ◽  
Early Adolescence ◽  
Age Of Onset ◽  
Developmental Trajectories ◽  
Childhood And Adolescence ◽  
Mixture Modelling ◽  
Growth Mixture ◽  
Growth Mixture Modelling ◽  
Males And Females

Background: Previous studies have hinted at sex differences in developmental trajectories in ADHD symptoms; however, little is known about the nature or cause of these differences and their implications for clinical practice.Method: We used growth mixture modelling in a community-ascertained cohort of n=1571 participants to study sex differences in ADHD symptom developmental trajectories across the elementary and secondary school years. Participants were measured at ages 7, 8, 9, 10, 11, 12, 13, and 15.Results: We found that females were more likely to show large symptom increases in early adolescence while males were more likely to show elevated symptoms from childhood. For both males and females, early adolescence represented a period of vulnerability characterised by relatively sudden symptom increases. Conclusions: Females affected by hyperactivity/impulsivity may be more likely to be excluded from diagnosis due to current age of onset criteria. More attention should be paid to early adolescence as a period of risk for hyperactivity/impulsivity symptom onset or worsening.

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