Literature DB >> 19813440

Developmental pathways leading to obesity in childhood.

Samar Hejazi1, V Susan Dahinten, Sheila K Marshall, Pamela A Ratner.   

Abstract

BACKGROUND: Researchers have yet to provide a comprehensive explanation of the variability in the development of childhood obesity, owing in part to the dearth of longitudinal studies. Such an understanding would contribute to the improvement of approaches for the primary and secondary prevention of childhood obesity. This study identifies, in a representative sample of Canadian children, age-related patterns of overweight and obesity between toddlerhood and childhood. DATA AND METHODS: The data are from cycles 2 through 5 (1996/1997 to 2002/2003) of the National Longitudinal Survey of Children and Youth. The sample comprised children aged 24 to 35 months at baseline, who were followed biennially over six years. Group-based mixture modelling analyses (using SAS PROC TRAJ) were conducted to identify the sex-specific developmental trajectories of body mass index (BMI).
RESULTS: Group-based modelling identified four BMI trajectories for the girls (stable normal BMI, early declining BMI, late declining BMI, and an accelerating rise to obesity) and three for the boys (stable normal BMI, transient high BMI, and a J-curve rise to obesity).
INTERPRETATION: Identifying distinct, sex-specific BMI trajectories is valuable in understanding pathways through which a child may develop obesity. These findings have implications for further research and practice, in particular, that no single approach can be used to prevent or reduce levels of obesity.

Entities:  

Mesh:

Year:  2009        PMID: 19813440

Source DB:  PubMed          Journal:  Health Rep        ISSN: 0840-6529            Impact factor:   4.796


  12 in total

1.  Growth trajectories in early childhood, their relationship with antenatal and postnatal factors, and development of obesity by age 9 years: results from an Australian birth cohort study.

Authors:  L C Giles; M J Whitrow; M J Davies; C E Davies; A R Rumbold; V M Moore
Journal:  Int J Obes (Lond)       Date:  2015-05-26       Impact factor: 5.095

2.  Trajectories of gait speed predict mortality in well-functioning older adults: the Health, Aging and Body Composition study.

Authors:  Daniel K White; Tuhina Neogi; Michael C Nevitt; Christine E Peloquin; Yanyan Zhu; Robert M Boudreau; Jane A Cauley; Luigi Ferrucci; Tamara B Harris; Susan M Satterfield; Eleanor M Simonsick; Elsa S Strotmeyer; Yuqing Zhang
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-10-09       Impact factor: 6.053

3.  Association of Slow Gait Speed With Trajectories of Worsening Depressive Symptoms in Knee Osteoarthritis: An Observational Study.

Authors:  Daniel K White; Tuhina Neogi; Yuqing Zhang; Jingbo Niu; Patricia P Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-02       Impact factor: 4.794

4.  Is symptomatic knee osteoarthritis a risk factor for a trajectory of fast decline in gait speed? Results from a longitudinal cohort study.

Authors:  Daniel K White; Jingbo Niu; Yuqing Zhang
Journal:  Arthritis Care Res (Hoboken)       Date:  2013-02       Impact factor: 4.794

5.  Trajectories of functional decline in knee osteoarthritis: the Osteoarthritis Initiative.

Authors:  Daniel K White; Tuhina Neogi; Uyen-Sa D T Nguyen; Jingbo Niu; Yuqing Zhang
Journal:  Rheumatology (Oxford)       Date:  2015-12-24       Impact factor: 7.580

6.  The influence of place on weight gain during early childhood: a population-based, longitudinal study.

Authors:  Megan Ann Carter; Lise Dubois; Mark S Tremblay; Monica Taljaard
Journal:  J Urban Health       Date:  2013-04       Impact factor: 3.671

7.  Developmental trajectories of body mass index among Japanese children and impact of maternal factors during pregnancy.

Authors:  Chiyori Haga; Naoki Kondo; Kohta Suzuki; Miri Sato; Daisuke Ando; Hiroshi Yokomichi; Taichiro Tanaka; Zentaro Yamagata
Journal:  PLoS One       Date:  2012-12-13       Impact factor: 3.240

8.  Weight maintenance from young adult weight predicts better health outcomes.

Authors:  Susanne B Votruba; Marie S Thearle; Paolo Piaggi; William C Knowler; Robert L Hanson; Jonathan Krakoff
Journal:  Obesity (Silver Spring)       Date:  2014-08-06       Impact factor: 5.002

9.  Maternal and infant prediction of the child BMI trajectories; studies across two generations of Northern Finland birth cohorts.

Authors:  Rozenn Nedelec; Jouko Miettunen; Minna Männikkö; Marjo-Riitta Järvelin; Sylvain Sebert
Journal:  Int J Obes (Lond)       Date:  2020-10-11       Impact factor: 5.095

10.  Early-childhood BMI trajectories: evidence from a prospective, nationally representative British cohort study.

Authors:  B Stuart; L Panico
Journal:  Nutr Diabetes       Date:  2016-03-07       Impact factor: 5.097

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