Literature DB >> 28235833

Early-life exposures predicting onset and resolution of childhood overweight or obesity.

Jessica A Kerr1,2, Catherine Long2, Susan A Clifford1,2, Joshua Muller1, Alanna N Gillespie1,2, Susan Donath1,2, Melissa Wake1,2,3.   

Abstract

OBJECTIVES: To determine which of multiple early-life exposures predict onset or resolution of overweight/obesity during a 9-year period.
METHODS: Design: longitudinal cohort from three harmonised community-based cohorts enriched for overweight and obesity. Early-life exposures: child-gestational age; delivery; birth weight; breast feeding; solids introduction; baseline body mass index (BMI); waist circumference; diet; activity; global, physical and psychosocial health. Mother-baseline BMI; education; age; neighbourhood disadvantage; concern for child's weight. Outcome: change in BMI category. Analyses: adjusted logistic regression.
RESULTS: On average, the 363 children (57% retention) were 6 and 15 years old at baseline and follow-up. Children were classified as 'never' overweight/obese (38%), 'resolving' overweight/obese (15%), 'becoming' overweight/obese (8%) or 'always' overweight/obese (39%). Compared with 'never overweight/obese' children, odds of 'becoming overweight/obese' were greater with higher child (OR 2.33, 95% CI 1.02 to 5.29) and maternal BMI (OR 1.18, CI 1.07 to 1.31), and lower with higher maternal education (OR 0.09, CI 0.02 to 0.34). Compared with 'always overweight/obese' children, odds of 'resolving overweight/obese' were lower with higher maternal BMI (OR 0.87, CI 0.78 to 0.97), and higher with better child physical health (OR 1.06, CI 1.02 to 1.10) and higher maternal age (OR 1.11, CI 1.01 to 1.22) and education (OR 4.07, CI 1.02 to 16.19).
CONCLUSIONS: Readily available baseline information (child/maternal BMI, maternal age, education and child health) were the strongest predictors of both onset and resolution of overweight/obesity between the primary school and adolescent years. Perinatal, breastfeeding and lifestyle exposures were not strongly predictive. Results could stimulate development of algorithms identifying children most in need of targeted prevention or treatment. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Adolescent Health; Comm Child Health; Obesity

Mesh:

Year:  2017        PMID: 28235833     DOI: 10.1136/archdischild-2016-311568

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  6 in total

1.  Early feeding practices and consumption of ultraprocessed foods at 6 y of age: Findings from the 2004 Pelotas (Brazil) Birth Cohort Study.

Authors:  Renata M Bielemann; Leonardo Pozza Santos; Caroline Dos Santos Costa; Alicia Matijasevich; Iná S Santos
Journal:  Nutrition       Date:  2017-10-12       Impact factor: 4.008

2.  Demographic, Social and Health-Related Variables that Predict Normal-Weight Preschool Children Having Overweight or Obesity When Entering Primary Education in Chile.

Authors:  Juliana Kain; Bárbara Leyton; Louise Baur; Mariana Lira; Camila Corvalán
Journal:  Nutrients       Date:  2019-06-05       Impact factor: 5.717

3.  Neighborhood Socioeconomic Disadvantage and Childhood Body Mass Index Trajectories From Birth to 7 Years of Age.

Authors:  Samuli Rautava; Olli Turta; Jussi Vahtera; Jaana Pentti; Mika Kivimäki; Jamie Pearce; Ichiro Kawachi; Päivi Rautava; Hanna Lagström
Journal:  Epidemiology       Date:  2022-01-01       Impact factor: 4.822

4.  The impact of maternal influences on childhood obesity.

Authors:  Pei-Chuan Hsu; Fang-Ming Hwang; Mei-I Chien; Wui-Chiu Mui; Jyh-Mirn Lai
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.379

5.  Predictors of Developmental Patterns of Obesity in Young Children.

Authors:  Thomas G O'Connor; Jason Williams; Clancy Blair; Lisa M Gatzke-Kopp; Lori Francis; Michael T Willoughby
Journal:  Front Pediatr       Date:  2020-03-24       Impact factor: 3.418

6.  Interaction between delivery mode and maternal age in predicting overweight and obesity in 1,123 Chinese preschool children.

Authors:  Shufang Liu; Jieping Lei; Jia Ma; Yanyan Ma; Shunan Wang; Yuan Yuan; Yu Shang; Zhixin Zhang; Wenquan Niu
Journal:  Ann Transl Med       Date:  2020-04
  6 in total

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