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Weng, Stephen Franklin, Redsell, Sarah A., Swift, Judy A., Yang, Min and Glazebrook, Cristine P. (2012) Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy. Archives of Disease in Childhood, 97 (12). pp. 1019-1026. ISSN 0003-9888

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Abstract

Objective To determine risk factors for childhood

overweight that can be identified during the first year of

life to facilitate early identification and targeted

intervention.

Design Systematic review and meta-analysis.

Search strategy Electronic database search of

MEDLINE, EMBASE, PubMed and CAB Abstracts.

Eligibility criteria Prospective observational studies

following up children from birth for at least 2 years.

Results Thirty prospective studies were identified.

Significant and strong independent associations with

childhood overweight were identified for maternal prepregnancy

overweight, high infant birth weight and rapid

weight gain during the first year of life. Meta-analysis

comparing breastfed with non-breastfed infants found a

15% decrease (95% CI 0.74 to 0.99; I2=73.3%; n=10)

in the odds of childhood overweight. For children of

mothers smoking during pregnancy there was a 47%

increase (95% CI 1.26 to 1.73; I2=47.5%; n=7) in the

odds of childhood overweight. There was some evidence

associating early introduction of solid foods and childhood

overweight. There was conflicting evidence for duration of

breastfeeding, socioeconomic status at birth, parity and

maternal marital status at birth. No association with

childhood overweight was found for maternal age or

education at birth, maternal depression or infant ethnicity.

There was inconclusive evidence for delivery type,

gestational weight gain, maternal postpartum weight loss

and ‘fussy’ infant temperament due to the limited

number of studies.

Conclusions Several risk factors for both overweight

and obesity in childhood are identifiable during infancy.

Future research needs to focus on whether it is clinically

feasible for healthcare professionals to identify infants at

greatest risk.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/711741
Schools/Departments:	University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Health Sciences
Identification Number:	https://doi.org/10.1136/archdischild-2012-302263
Depositing User:	de Sousa, Mrs Shona
Date Deposited:	16 Apr 2014 10:13
Last Modified:	04 May 2020 16:34
URI:	https://eprints.nottingham.ac.uk/id/eprint/2320

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