|Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy.|
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|PMID: 23109090 Owner: NLM Status: MEDLINE|
|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 pre-pregnancy 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; I(2)=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; I(2)=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.
|Stephen Franklin Weng; Sarah A Redsell; Judy A Swift; Min Yang; Cristine P Glazebrook|
|Type: Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review Date: 2012-10-29|
|Title: Archives of disease in childhood Volume: 97 ISSN: 1468-2044 ISO Abbreviation: Arch. Dis. Child. Publication Date: 2012 Dec|
|Created Date: 2012-11-20 Completed Date: 2013-04-19 Revised Date: 2013-11-06|
Medline Journal Info:
|Nlm Unique ID: 0372434 Medline TA: Arch Dis Child Country: England|
|Languages: eng Pagination: 1019-26 Citation Subset: AIM; IM|
|Division of Psychiatry, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham, UK.|
|APA/MLA Format Download EndNote Download BibTex|
Journal ID (nlm-ta): Arch Dis Child
Journal ID (iso-abbrev): Arch. Dis. Child
Journal ID (hwp): archdischild
Journal ID (publisher-id): adc
Publisher: BMJ Publishing Group, BMA House, Tavistock Square, London, WC1H 9JR
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions
Received Day: 30 Month: 4 Year: 2012
Accepted Day: 21 Month: 8 Year: 2012
Print publication date: Month: 12 Year: 2012
Electronic publication date: Day: 29 Month: 10 Year: 2012
Volume: 97 Issue: 12
First Page: 1019 Last Page: 1026
PubMed Id: 23109090
Publisher Id: archdischild-2012-302263
|Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy|
|Stephen Franklin Weng1|
|Sarah A Redsell2|
|Judy A Swift3|
|Cristine P Glazebrook5|
1Division of Epidemiology and Public Health, School of Community Health Sciences, University of Nottingham, Nottingham, UK
2School of Nursing, Midwifery and Physiotherapy, University of Nottingham, Queen's Medical Centre, Nottingham, UK
3Division of Nutritional Sciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK
4Nottingham Clinical Trials Unit, Nottingham Health Science Partners, Queen's Medical Centre, Nottingham, UK
5Division of Psychiatry, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham, UK
|Correspondence to Professor Cris Glazebrook, Division of Psychiatry, Institute of Mental Health, University of Nottingham Innovation Park, Nottingham NG7 2TU, UK; Cris.Glazebrook@nottingham.ac.uk
In the UK in 2008, 31% of boys and 29% of girls aged 2–15 years were classified as overweight or obese.1 These figures are supported by data collected in 2010 by the National Child Measurement Programme showing that 23% of children aged 4–5 years and 33% of 10–11 year olds are overweight.2 Evidence suggests that weight at 5 years of age is a good indicator of the future health of a child3 and that obesity during childhood increases the risk of adult obesity.4 Cardiovascular disease, type 2 diabetes, obesity-attributable cancers, osteoarthritis and psychological disturbance generate much of the morbidity and years of life lost associated with increasing levels of obesity.5
There is a strong rationale for intervening during early life in infants at risk of developing childhood obesity6 and to date interventions have focused on nutritional modification through supporting parents regarding, for example, healthy eating and breastfeeding.7–10 Both the Canadian Paediatric Society11 and the American Academy of Pediatrics12 advocate that all typically developing children aged 2 years and older should have their growth monitored to screen for under-development, wasting, overweight and obesity. However, in many countries, early life intervention is not routine clinical practice. Although in the USA, the Institute of Medicine has recently introduced early childhood obesity prevention guidance13 suggesting that healthcare professionals (HCPs) should undertake regular growth monitoring and consider obesity risk factors during infancy, there is evidence in both the UK and the USA that HCPs are reluctant to diagnose obesity in infants.14 Furthermore, HCPs who routinely provide advice to parents have been found to have low levels of knowledge concerning the risks of obesity.15 This is partly due to the implementation gap between published research and clinical practice. Currently, there have been no systematic reviews that have comprehensively investigated all infant risk factors for both overweight and obesity in childhood using only prospective studies.
The aim of this systematic review is to identify those risk factors for overweight in childhood which could be identified by HCPs during an infant's first year of life.
MEDLINE, EMBASE, CAB Abstracts and PubMed articles published from 1990 to May 2011 were searched electronically. These dates were chosen because the identification of early life determinants of childhood overweight or obesity is a relatively recent area of research interest. Keywords, identified in the literature and through group discussion on early life risk factors for childhood overweight, were used to search for all relevant publications and are given in online supplementary appendix 1. One reviewer (SFW) screened studies based on titles and abstracts. Subsequently, full-text articles were screened and independently selected for inclusion in the systematic review by two authors (SFW and SAR; SFW and JAS; or SFW and CG) based on specific eligibility criteria. The reviewers independently assessed the methodological quality of the papers using the Newcastle-Ottawa Scale.16 This assessment takes into account epidemiological quality in relation to control of confounding variables, adequate sample size, minimisation of selection bias and clear definitions of exposures. Studies were judged according to: (i) selection of the study groups (scored 0–4); (ii) comparability of the study groups (scored 0–2); and (iii) ascertainment of the outcome (scored 0–3). Data extraction and quality assessment forms are given in online supplementary appendix 2.
Studies were only considered if they were prospective studies and there was a minimum follow-up of 2 years from birth to allow for a diagnosis childhood overweight (as there is no standard definition of overweight in children under 2 years of age).17, 18 We used 16 years of age as the cut-off for the follow-up of children. Although most children will have obtained close to their final height by 14 years of age, we used a more inclusive upper limit to account for varying pubertal development,19 so that children who had not yet reached their final height by 14 years of age would not be excluded.
Selection of some of the exposure terms was based on theoretical considerations discussed in the literature on early life risk factors for childhood overweight.20 In addition, inclusion criteria included any potential risk factors that had occurred prenatally, in the first year of life or when the child was 1 year of age. Studies that only included children with specific medical conditions or children from rare groups were excluded as these children may have a different set of risk factors and often are not comparable with the general population of children.
For anthropometric outcome, we used body mass index (BMI) as reported by the study author. BMI (adjusted for age and sex) is identified21 by the National Institute for Health and Clinical Excellence (NICE) guidelines as a preferred outcome measure in children aged 2 years or older. Overweight in childhood was defined as follows: by the International Obesity Task Force (IOTF)18 as corresponding to an adult BMI ≥25 or ≥30 kg/m2; by the Centers for Disease Control and Prevention (CDC)17 as a BMI ≥85th or ≥95th percentile; by the UK 1990 reference22 as a BMI ≥95th or ≥98th percentile; by the French reference23 as a BMI ≥90th or ≥97th percentile; and by the German reference24 as a BMI ≥90th or ≥97th percentile. Studies that defined children as obese were considered to also include overweight children for the purpose of this review.
For certain risk factors that met meta-analysis eligibility criteria, the random effects model was utilised to pool the effect sizes of the individual risk factors taking into account both the sampling error and between-study heterogeneity. The I2 statistic was used to explain the between-study heterogeneity (0–100%), with higher percentage variation suggesting more heterogeneity or differences among studies. The primary outcome was the adjusted odds of overweight. The meta-analysis only included adjusted outcomes (at least age and sex) to minimise confounding. Publication bias was assessed by an asymmetry test.25 The results were statistically significant when two-sided p values were less than 5%. All analyses were conducted in STATA V.11 (Stata Corporation, College Station, Texas, USA).
Thirty prospective studies met the inclusion criteria. The most common reason for exclusion was the absence of an appropriate outcome for childhood overweight or obesity (figure 1). Many of these studies were nutrition or growth studies that used anthropometric outcomes but were not focused on childhood overweight or obesity. The second most common reason for exclusion was a non-prospective study design (figure 1). The key characteristics of the included studies are presented in table 1. The median age at follow-up was 6 years, ranging from 2 years26 to 14 years.27 Where reported, the median prevalence of childhood overweight was 13.2%, ranging from 5.4%28 to 29.6%.29 Ten of the 30 studies27, 30–38 defined childhood overweight by IOTF cut-offs.18 Sixteen of the 30 studies28, 29, 39–52 defined childhood overweight by CDC percentiles.17 Two UK studies53, 54 defined childhood overweight by the UK 1990 growth reference centiles.22 One study55 used reference data from France23 to define childhood overweight and another study26 used national reference data from Germany.24
Three studies29, 33, 54 found a significant association between maternal pre-pregnancy overweight and subsequent childhood overweight. Hawkins et al33 found that the children of mothers who were overweight before pregnancy were 1.37 times (95% CI 1.18 to 1.58) more likely to be overweight at 3 years of age than children of normal weight parents. Reilly et al54 found that children of mothers who were obese before pregnancy were 4.25 times (95% CI 2.86 to 6.32) more likely to be overweight at 7 years of age compared with children of non-obese mothers. Rooney et al29 found that children of mothers who were obese before pregnancy were 2.36 times (95% CI 2.36 to 8.85) more at risk of being overweight between 9 and 14 years of age compared with children of non-obese mothers.
Seven studies28, 29, 33, 40, 42, 48, 54 identified high birth weight as a potential risk factor for childhood overweight. The reported results were adjusted for maternal overweight status, sex and gestational weight gain. Overall, six of the seven studies29, 33, 40, 42, 48, 54 found significant and strong positive associations between high birth weight and childhood overweight.
Three of the seven studies29, 40, 42 reported the results in terms of birthweight categories and found significant associations. Dubois and Girard42 found that infants who weighed ≥4000 g at birth were 2.3 times (95% CI 1.30 to 7.20) more likely to be overweight at 4.5 years of age compared with infants who weighed between 3000 and 4000 g at birth. Rooney et al29 found that infants who weighed ≥8.5 lbs (3.86 kg) were 2.17 times (95% CI 1.22 to 3.87) more likely to be overweight between 4 and 5 years of age compared with infants who weighed between 7.01 and 8.49 lbs (3.18–3.85 kg). Ye et al40 found that infants who weighed ≥4.25 kg were 2.17 times (95% CI 1.83 to 2.59) more likely to be overweight between 3 and 6 years of age compared with infants who weighed between 3 and 3.25 kg.
Four of the seven studies28, 33, 48, 54 presented continuous exposures of birth weight (z scores, grams). Hawkins et al33 found that for every 1 unit increase in birthweight z score, the odds of being overweight at 3 years of age increased by 1.36 (95% CI 1.30 to 1.42). Jones-Smith et al48 found that for every 1 unit increase in BMI z score, the odds of overweight between 4 and 6 years of age increased dramatically by 7.62 (95% CI 2.73 to 21.3). Reilly et al54 found that for every 100 g increase in birth weight, the odds of overweight at 7 years of age increased by 1.05 (95% CI 1.03 to 1.08). The study by Stettler et al28 was the only one to find no association between birth weight and childhood overweight.
The six studies28, 29, 34, 42, 48, 54 that investigated infant rapid weight gain in the first year of life found significant associations with childhood overweight. Three studies29, 34, 42 reported results for categorical exposures of early weight gain: comparing rapid growth to slow growth or normal growth. Dubois and Girard42 found that infants in the highest quintile of monthly weight gain from birth to 5 months were 3.9 (95% CI 1.9 to 7.9) times more likely to be overweight at 4.5 years of age compared with infants in the lowest quintile of monthly weight gain. Hui et al34 compared accelerated growth (highest tertile) to slow growth (lowest tertile). In boys, there was a significant elevated odds of overweight at 7 years of age for infants who had accelerated growth regardless of birthweight group. In girls, there was a significant elevated odds of overweight at 7 years of age for medium and high birthweight infants who had accelerated growth. Rooney et al29 found that being in the highest tertile of weight gain from birth to 5 months was associated with a 1.63 (95% CI 1.05 to 2.53) times increased risk of overweight between 9 and 14 years of age.
Three of the six studies28, 48, 54 reported results for continuous exposures (BMI z score, grams per month) of early weight gain. Jones-Smith et al48 found that for every 1 unit increase in BMI z score from birth to 1 year, the odds of overweight between 4 and 6 years of age increased by 2.23 (95% CI 1.12 to 4.46). Reilly et al54 found that for every 100 g per month in weight gain from birth to 1 year, the odds of overweight at 7 years of age increased by 1.06 (95% CI 1.02 to 1.10). Stettler et al28 found that for every 100 g per month in weight gain from birth to 4 months, the odds of overweight at 7 years of age increased by 1.17 (95% CI 1.11 to 1.24).
Seven studies32, 33, 41, 42, 45, 49, 54 investigated the impact of maternal smoking during pregnancy on childhood overweight. These studies met random effects meta-analysis criteria. The results in figure 2 show that children with mothers who had smoked regularly during pregnancy were 47% more likely to be overweight compared with children with mothers who had not smoked during pregnancy (adjusted odds ratio (AOR) 1.47, 95% CI 1.26 to 1.73; I2=47.5%; n=7 studies). There was a moderate but insignificant amount of heterogeneity (p=0.064). Evidence of publication bias was detected by an asymmetry test (p=0.001).
Ten studies26, 27, 33, 36, 39, 46, 52–55 compared breastfeeding with other types of feeding during the first year of life. Evidence for the protective effect of breastfeeding against overweight in childhood was mixed. Five studies33, 46, 52, 53, 55 found that breastfeeding had significant protective effects against childhood overweight, while the other five studies26, 27, 36, 39, 54 did not find significant associations. The studies met random effects meta-analysis criteria and a pooled AOR could therefore be obtained. Children who were ‘ever breastfed’ included those exclusively breastfed, ever breastfed or fed a mixture of formula and breast milk during the first year of life. The reference group of ‘never breastfed’ included children who were exclusively formula-fed. The results in figure 3 show that ever breastfeeding in the first year of life significantly decreased the odds of overweight in childhood by 15% (AOR 0.85, 95% CI 0.74 to 0.99; I2=73.3%; n=10 studies). There was no evidence of publication bias, which was confirmed by an asymmetry test (p=0.248).
Five studies26, 31, 35, 50, 52 also analysed the impact of breastfeeding duration on childhood overweight in a subgroup of breastfed children. Four studies31, 35, 50, 52 did not find significant associations between the duration of breastfeeding and childhood overweight. However, Weyermann et al26 found a significant decrease in the odds of overweight at 2 years of age for infants who were breastfed for more than 6 months compared with infants who were breastfed for less than 3 months (AOR 0.4, 95% CI 0.2 to 0.8).
Four studies33, 38, 47, 50 investigated the relationship between the earlier introduction of solid foods and childhood overweight. There was some evidence supporting the early introduction of solid foods as a risk factor for later overweight. Hawkins et al33 found that infants given solid foods before 4 months were 1.12 times (95% CI 1.02 to 1.23) more likely to be overweight at 3 years of age compared with infants who were given solid foods after 4 months. Huh et al47 found that formula-fed infants given solid foods before 4 months were 6.3 times (95% CI 2.3 to 16.9) more likely to be overweight at 3 years of age compared with infants who were given solid foods between 4 and 5 months. However, this relationship was not significant in breastfed infants. Seach et al38 found that later introduction of solid foods was significantly associated with reducing overweight in childhood (AOR 0.91, 95% CI 0.84 to 0.97). However, Neutzling et al50 did not find an association between the early introduction of solid foods and childhood overweight.
No independent association with childhood overweight was found for maternal age at birth,29, 35, 42, 54 maternal education at birth,33, 42 maternal antenatal or postnatal depression30, 43 or infant ethnicity.28, 33, 54 Due to the limited number of studies, there was inconclusive evidence for the following factors: delivery type,29 maternal postpartum weight loss,51 gestational weight gain29 and ‘fussy’ infant temperament.44 There was also conflicting evidence for the following factors: maternal marital status at birth,29, 33, 42 socioeconomic status at birth33, 42 and parity.28, 42, 54
Table 1 shows that both ‘selection’ and ‘ascertainment’ quality assessment scores were weak among the studies reviewed, while ‘comparability’ was strong. Only six studies were considered to have high ‘selection’ quality. This was due to the fact that most studies collected data using self-reported surveys completed by parents. Self-reported surveys are subject to recall bias, and variables such as breastfeeding status or child anthropometry measurements were not validated by HCPs. The six studies that did obtain a high ‘selection’ score utilised HCPs or health visitors to validate the data through structured interviews in the home or clinic. Similarly, only eight studies were considered to have high ‘ascertainment’. Attrition bias is a potential issue with many of the observation studies reviewed. To achieve a high ‘ascertainment’ score, studies were required to have ≥80% follow-up rates or descriptions of those lost if there was <80% follow-up. The majority of the studies did not describe participants lost to follow-up and therefore, we could not determine if those lost influenced the overall results of the study.
This systematic review of 30 prospective studies identified several significant early life risk factors for childhood overweight: maternal pre-pregnancy overweight, high infant birth weight, early infant rapid weight gain and maternal smoking during pregnancy. There was a moderate protective effect of ever breastfeeding during the first year on subsequent childhood overweight. There was some evidence that the early introduction of solid foods was associated with childhood overweight, and mixed evidence for longer duration of breastfeeding during the first year, maternal marital status at birth and parity. There was no association for the remaining factors or the evidence was inconclusive due to a lack of studies.
The studies exploring maternal pre-pregnancy overweight as a risk factor found higher odds of overweight in offspring who had parents who were classified as overweight or obese. In an early systematic review of childhood predictors of adult obesity by Parsons et al,20 a strong positive correlation between offspring anthropometry and parental anthropometry was identified. Parsons et al20 suggest that environment strongly influences genetic components such as genetic predisposition to select fatty foods or inability to perform physical activity. In addition, some genes involved in homeostatic regulation, appetite suppression and maintaining energy balance have been linked to well-known obesity models.56 It is likely that the relationship between parental and childhood overweight is influenced by both genes and lifestyle. However, it is not clear what these mechanisms are or how the environment overrides psychological appetite controls and homeostatic body weight regulation.56
The hereditary components of parental overweight may also influence infant anthropometry. Oken et al57 found in a review of the infant growth literature that parental adiposity is directly associated with offspring birth weight. In other systematic reviews58, 59 of infant size and obesity, the majority of studies consistently found that infants who were heavier during infancy were more likely to develop obesity in childhood, adolescence and adulthood. In our review, higher birth weight was significantly associated with later childhood overweight in the majority of studies. Additionally, we found that early rapid weight gain was associated with childhood overweight, as has been previously reported in three earlier systematic reviews.60–62 There are two possible mechanisms whereby rapid infancy weight gain could lead to later obesity. Druet et al60 suggest that rapid weight gain in infancy could be due to nutrition and the environment, or rapid weight gain may be a genetic marker of the future trajectory of weight gain. Evidence also suggests that birth weight may modify genetic susceptibility towards weight gain and future obesity risk.63
Modifying nutritional factors connected with parental feeding behaviours in infancy are primarily associated with breastfeeding and weaning. We found in a meta-analysis of 10 prospective studies that breastfeeding anytime in the first year life reduced the adjusted odds of overweight in childhood by 15% compared with not breastfeeding. This result is similar to that of a meta-analysis of nine observational studies conducted by Arenz et al64 which found that breastfeeding reduced the adjusted odds of obesity in childhood by 22% compared with formula feeding. Possible biological explanations include higher plasma insulin levels in formula-fed infants that could stimulate fat deposition and bioactive factors in breast milk which might modulate growth.
This review found some evidence that the early introduction of solid foods had an impact on childhood overweight. However, breastfeeding possibly confounded the relationship between age at weaning and childhood overweight because no association was found in breastfed infants. Wasser et al65 found in a cross-sectional study of 217 mothers, that infants who were perceived as ‘fussy’ eaters were more likely to receive complementary foods before 4 months of age. Thus, infant temperament (soothability by food, ‘fussy’ eating behaviour) may have a confounding effect on the relationship between weaning and childhood overweight.
Lifestyle behaviours such as maternal smoking in pregnancy, were found to be significantly associated with childhood overweight. We found in a meta-analysis of seven prospective studies that maternal smoking in pregnancy increased the adjusted odds of childhood overweight by 47%. This result was similar to that of a previous meta-analysis of 14 observational studies by Oken et al66 where maternal smoking in pregnancy increased the adjusted odds of overweight by 50%. Exposure to cigarette smoke increases the risk of fetal adverse development and growth restriction. Even though maternal smoking in pregnancy may result in growth restriction in utero, some studies have found that affected infants exhibit extremely high rapid postnatal weight gain.67, 68 It is also likely that maternal smoking in pregnancy is a proxy for other social and lifestyle characteristics. In a US study of low income children and their parents, children of smokers were found to have poor diet quality with high levels of saturated fat, high levels of cholesterol intake and low levels of fibre intake.69
Unlike prior reviews, we have comprehensively investigated the risk factors for childhood overweight in the first year of life using only prospective studies. Our review included both overweight and obesity outcomes in contrast to previous reviews which mostly investigated obesity alone. Previous comprehensive reviews20, 70 have studied childhood predictors with adult obesity as the endpoint but have not fully investigated infant factors. Other reviews on breastfeeding,64 infant growth,60 hereditary factors57–59 and maternal smoking66 have only focused on these specific areas. In our study we have also reviewed factors in the first year of life that have not previously been fully examined: parity, socioeconomic status, maternal education, maternal depression, infant ethnicity, delivery type, maternal postpartum weight loss, gestational weight gain and infant temperament. In addition, most previous reviews incorporated observational evidence. As the use of only prospective studies in this study ensures excellent observational evidence,71 the findings could be used to develop screening guidelines or checklists for HCPs for identifying infants at greatest risk. Most of the identified risk factors are static (non-modifiable), but potentially dynamic (modifiable) risk factors such as maternal response to infant temperament, could be explored further with a contemporary cohort of children. However, recent research72 has found that using a purely statistical approach for developing a risk factor checklist from birth cohort data may not provide acceptable levels of specificity and sensitivity in a clinical setting, and so clinical input is needed from practitioners, service providers and parent groups.72 In addition, there are many practical and ethical considerations including the acceptability of such a checklist by parents and the feasibility of implementing it in the existing health service. Any risk factor checklist requires testing in the field and needs to be accompanied by clinical guidance for HCPs on how to approach parents of infants identified as being at risk, which should be supported by evidence-based intervention.
One limitation was that we used a late age cut-off of 16 years to account for varying pubertal development. This may have meant that some children close to their final height were included. However, the longest duration of follow-up in all included studies was 14 years (only one study) with a median of 6 years. Most children included in our review were under 10 years of age and had not yet reached their final height. Thus, the effects of using a more inclusive age cut-off were marginal. Another limitation was the use of BMI as an outcome measure. This was a clinical recommendation due to the practicality and efficiency of BMI monitoring for HCPs as supported by NICE guidance.21 However BMI is an indirect measurement of adiposity, in contrast to skin fold and body fat percentage measurements which are direct measurements of subcutaneous, central or total adiposity. While BMI is highly correlated with direct measurements of adiposity, it is also influenced by lean body and bone mass.
Additionally, the cohort studies examined in this review included samples of children from a range of different socioeconomic and cultural backgrounds. The findings may need to be interpreted with caution since there is some evidence that BMI systematically underestimates adiposity in South Asian subjects and overestimates adiposity in Black African Caribbean subjects because of its association with height.73
There was also a great deal of heterogeneity between overweight outcomes in childhood depending on the particular growth reference data used (IOTF, CDC, UK 1990, French, German). This is likely to have influenced the overweight prevalence depending on the definitions that the authors used in their respective studies. Therefore, we could only summarise results based on directional associations between groups of exposures and the childhood overweight outcome for several potential risk factors. Finally, there is evidence of publication bias in the meta-analysis of seven smoking-related studies. However, we adjusted the pooled OR using ‘trim and fill’ by simulating a symmetrical set of studies, which yielded a similar AOR of 1.34 (95% CI 1.13 to 1.60; I2=53.2%; n=12 studies).
This systematic review identified several early life risk factors for childhood overweight and provides high quality evidence that could be used by HCPs to identify infants at greatest risk. We found strong evidence that early rapid weight gain, high birth weight, maternal pre-pregnancy overweight and maternal smoking in pregnancy increased the likelihood of childhood overweight. There was also a moderate protective effect of breastfeeding on childhood overweight. There was some evidence to suggest that the early introduction of solid foods was associated with childhood overweight. Several factors were found to have mixed, inconclusive or no association with childhood overweight as follows: breastfeeding duration, maternal marital status, parity, socioeconomic status, maternal age, maternal education, maternal depression, infant ethnicity, delivery type, maternal postpartum weight loss, gestational weight gain and infant temperament. Our future research will focus on exploring the validity and feasibility of identifying infants at risk of developing childhood overweight in clinical practice.
What is already known on this topic
What this study adds
Click here for additional data file (archdischild-2012-302263-s1.pdf)
Contributors: SFW, SAR, MY, CPG and JAS developed the study design, carried out the systematic review and conducted the data analysis. SFW prepared the first draft of the manuscript. SFW, SAR, MY and CG revised the first draft and prepared the final version of the manuscript. All study authors approved the final version of the manuscript.
Funding: This work was funded by NHS Nottinghamshire County PCT.
Competing interests: None.
Provenance and peer review: Not commissioned; externally peer reviewed.
We would like to thank Rachel Illingworth for supporting this work. We would also like to thank Dr Dilip Nathan, Nottingham University Hospitals Trust and Professor Aloysius Niro Siriwardena for their contributions to this work.
|1.||National Health Service. Statistics on obesity, physical activity and diet—England 2010. National Health Service. NHS Information Centre: The Health and Social Care Information Centre, Leeds, Year: 2010|
|2.||Department of Health. National Child Measurement Programme: England, 2009/10 school year. Department of Health: The Health and Social Care Information Centre, London, Year: 2010|
|3.||Gardner DS,Hosking J,Metcalf BS,et al. Contribution of early weight gain to childhood overweight and metabolic health: a longitudinal study (EarlyBird 36). PediatricsYear: 2009;123:e67–7319117849|
|4.||Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. PediatricsYear: 1998;101(Suppl 2):518–2512224658|
|5.||Dixon JB. The effect of obesity on health outcomes. Mol Cell Endocrinol316:104–819628019|
|6.||Anzman SL,Rollins BY,Birch LL. Parental influence on children's early eating environments and obesity risk: implications for prevention. Int J ObesYear: 2010;34:1116–4|
|7.||Johnston BD,Huebner CE,Anderson ML,et al. Healthy steps in an integrated delivery system: child and parent outcomes at 30 months. Arch Pediatr Adolesc MedYear: 2006;160:793–80016894077|
|8.||Talvia S,Rasanen L,Lagstrom H,et al. Longitudinal trends in consumption of vegetables and fruit in Finnish children in an atherosclerosis prevention study (STRIP). Eur J Clin NutrYear: 2006;60:172–8016234839|
|9.||Johnson Z,Molloy B,Scallan E,et al. Community mothers programme—seven year follow-up of a randomized controlled trial of non-professional intervention in parenting. J Pub HealthYear: 2000;22:337–42|
|10.||Horodynski MA,Stommel M. Nutrition education aimed at toddlers: an intervention study. Pediatr NursYear: 2005;31:367–72|
|11.||Promoting optimal monitoring of child growth in Canada: using the new World Health Organization growth charts—executive summary. Paediatr Child HealthYear: 2010;15:77–8321286295|
|12.||Barlow SE. , Committee atEExpert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. PediatricsYear: 2007;120(Suppl 4):S164–9218055651|
|13.||Institute of MedicineEarly childhood obesity prevention policies. Washington DC: Institute of Medicine (IoM), Year: 2011|
|14.||McCormick DP,Sarpong K,Jordan L,et al. Infant obesity: are we ready to make this diagnosis?J PediatrYear: 2010;157:15–1920338575|
|15.||Redsell SA,Atkinson P,Nathan D,et al. Preventing childhood obesity during infancy in UK primary care: a mixed-methods study of HCPs’ knowledge, beliefs and practice. BMC Family PracticeYear: 2011;12:5421699698|
|16.||Wells G,Shea B,O'Connel D,et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analysis. Year: 2008 Date;Volume. http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. ( accessed 6 Aug 2011. ).|
|17.||CDCCDC growth charts for the United States: methods and development. Vital Health StatYear: 2000;8:42|
|18.||Cole TJ,Bellizzi MC,Flegal KM,et al. Establishing a standard definition for child overweight and obesity worldwide: international survey. Br Med JYear: 2000;320:124010797032|
|19.||Dietz WH. Periods of risk in childhood for the development of adult obesity—what do we need to learn?J NutrYear: 1997;127:1884S–6S9278575|
|20.||Parsons TJ,Power C,Logan S,et al. Childhood predictors of adult obesity: a systematic review. Int J Obes Relat Metab DisordYear: 1999;23(Suppl 8):S1–10710641588|
|21.||Obesity guidance on the prevention, identification, assessment and management of overweight and obesity in adults and childrenNICE clinical guideline 43. London: National Institute for Health and Clinical Excellence, Year: 2006|
|22.||Cole TJ,Freeman JV,Preece MA. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Stat MedYear: 1998;17:407–299496720|
|23.||Rolland-Cachera MF,Cole TJ,Sempe M,et al. Body Mass Index variations: centiles from birth to 87 years. Eur J Clin NutrYear: 1991;45:13–211855495|
|24.||Kromeyer-Hauschild K,Wabitsch M,Kunze D,et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschrift KinderheilkundeYear: 2001;149:807–18|
|25.||Egger M,Davey Smith G,Schneider M,et al. Bias in meta-analysis detected by a simple, graphical test. Br Med JYear: 1997;315:629–349310563|
|26.||Weyermann M,Rothenbacher D,Brenner H. Duration of breastfeeding and risk of overweight in childhood: a prospective birth cohort study from Germany. Int J ObesYear: 2006;30:1281–7|
|27.||Shields L,O'Callaghan M,Williams GM,et al. Breastfeeding and obesity at 14 years: a cohort study. J Paediatr Child HealthYear: 2006;42:289–9616712560|
|28.||Stettler N,Zemel BS,Kumanyika S,et al. Infant weight gain and childhood overweight status in a multicenter, cohort study. PediatricsYear: 2002;109:194–911826195|
|29.||Rooney BL,Mathiason MA,Schauberger CW. Predictors of Obesity in Childhood, Adolescence, and Adulthood in a Birth Cohort. Matern Child Health JYear: 2010;7:7|
|30.||Ajslev TA,Andersen CS,Ingstrup KG,et al. Maternal postpartum distress and childhood overweight. PLoS OneYear: 2010;5:e1113620614031|
|31.||Buyken AE,Karaolis-Danckert N,Remer T,et al. Effects of breastfeeding on trajectories of body fat and BMI throughout childhood. ObesityYear: 2008;16:389–9518239649|
|32.||Fasting MH,Oien T,Storro O,et al. Maternal smoking cessation in early pregnancy and offspring weight status at four years of age. A prospective birth cohort study. Early Hum DevYear: 2009;85:19–2418602227|
|33.||Hawkins SS,Cole TJ,Law C,et al. An ecological systems approach to examining risk factors for early childhood overweight: findings from the UK Millennium Cohort Study. J Epidemiol Community HealthYear: 2009;63:147–5518801795|
|34.||Hui LL,Schooling CM,Leung SS,et al. Birth weight, infant growth, and childhood body mass index: Hong Kong's children of 1997 birth cohort. NeurologyYear: 2008;70:788–9418316690|
|35.||Huus K,Ludvigsson JF,Enskar K,et al. Exclusive breastfeeding of Swedish children and its possible influence on the development of obesity: a prospective cohort study. BMC PediatricsYear: 2008;8:4218844983|
|36.||Kwok MK,Schooling CM,Lam TH,et al. Does breastfeeding protect against childhood overweight? Hong Kong's ‘Children of 1997’ birth cohort. Int J EpidemiolYear: 2010;39:297–30519700441|
|37.||Pearce A,Li L,Abbas J,et al. Is childcare associated with the risk of overweight and obesity in the early years? Findings from the UK Millennium Cohort Study. Int J ObesYear: 2010;34:1160–8|
|38.||Seach KA,Dharmage SC,Lowe AJ,Dixon JB. Delayed introduction of solid feeding reduces child overweight and obesity at 10 years. Int J ObesYear: 2010;34:1475–9|
|39.||Burke V,Beilin LJ,Simmer K,et al. Breastfeeding and overweight: longitudinal analysis in an Australian birth cohort. J PediatrYear: 2005;147:56–6116027696|
|40.||Ye R,Pei L,Ren A,et al. Birth weight, maternal body mass index, and early childhood growth: a prospective birth cohort study in China. J EpidemiolYear: 2010;20:421–820814166|
|41.||Chen A,Pennell ML,Klebanoff MA,et al. Maternal smoking during pregnancy in relation to child overweight: follow-up to age 8 years. Int J EpidemiolYear: 2006;35:121–3016260450|
|42.||Dubois L,Girard M. Early determinants of overweight at 4.5 years in a population-based longitudinal study. Int J ObesYear: 2006;30:610–17|
|43.||Ertel KA,Koenen KC,Rich-Edwards JW,et al. Antenatal and postpartum depressive symptoms are differentially associated with early childhood weight and adiposity. Paediatr Perin EpidemiolYear: 2010;24:179–89|
|44.||Faith MS,Hittner JB. Infant temperament and eating style predict change in standardised weight status and obesity risk at 6 years of age. Int J ObesYear: 2010;34:1515–3|
|45.||Wideroe M,Vik T,Jacobsen G,et al. Does maternal smoking during pregnancy cause childhood overweight?Paediatr Perin EpidemiolYear: 2003;17:171–9|
|46.||Grummer-Strawn LM,Mei ZG. Does breastfeeding protect against pediatric overweight? Analysis of longitudinal data from the Centers for Disease Control and Prevention Pediatric Nutrition Surveillance System. PediatricsYear: 2004; 113:e81–614754976|
|47.||Huh SY,Rifas-Shiman SL,Taveras EM,et al. Timing of solid food introduction and risk of obesity in preschool-aged children. PediatricsYear: 2011;127:e544–5121300681|
|48.||Jones-Smith JC,Fernald LC,Neufeld LM. Birth size and accelerated growth during infancy are associated with increased odds of childhood overweight in Mexican children. EpidemiologyYear: 2007;18:722–918062063|
|49.||Mendez MA,Torrent M,Ferrer C,et al. Maternal smoking very early in pregnancy is related to child overweight at age 5–7 y. Am J Clin NutrYear: 2008;87:1906–1318541584|
|50.||Neutzling M,Hallal PC,Pavin Araujo CL,et al. Infant feeding and obesity at 11 years: Prospective birth cohort study. Int J Pediatr ObesYear: 2009;4:143–919353369|
|51.||Sonneville KR,Rifas-Shiman SL,Oken E,et al. Longitudinal association of maternal attempt to lose weight during the postpartum period and child obesity at age 3 years. ObesityYear: 2011;24:24|
|52.||Taveras EM,Rifas-Shiman SL,Scanlon KS,et al. To what extent is the protective effect of breastfeeding on future overweight explained by decreased maternal feeding restriction?PediatricsYear: 2006;118:2341–817142517|
|53.||Armstrong J,Reilly JJ. Breastfeeding and lowering the risk of childhood obesity. LancetYear: 2002;359:2003–412076560|
|54.||Reilly JJ,Armstrong J,Dorosty AR,et al. Early life risk factors for obesity in childhood: cohort study. Br Med J (Clinical Research Edition)Year: 2005;330:1357–9|
|55.||Bergmann KE,Bergmann RL,Von Kries R,et al. Early determinants of childhood overweight and adiposity in a birth cohort study: role of breast-feeding. Behav ModifYear: 2003;27:54–6712587260|
|56.||Lenard NR,Berthoud HR. Central and peripheral regulation of food intake and physical activity: pathways and genes. ObesityYear: 2008;16:S11–2219190620|
|57.||Oken E,Gillman MW. Fetal origins of obesity. Obes ResYear: 2003;11:496–50612690076|
|58.||Baird J,Fisher D,Lucas P,et al. Being big or growing fast: systematic review of size and growth in infancy and later obesity. Br Med JYear: 2005;331:92916227306|
|59.||Yu ZB,Han SP,Zhu GZ,et al. Birth weight and subsequent risk of obesity: a systematic review and meta-analysis. Obes RevYear: 2011;12:525–4221438992|
|60.||Druet C,Stettler N,Sharp S,et al. Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis. Paediatr Perin EpidemiolYear: 2011;26:19–26|
|61.||Monteiro PO,Victora CG. Rapid growth in infancy and childhood and obesity in later life–a systematic review. Obes RevYear: 2005;6:143–5415836465|
|62.||Ong KK,Loos RJF. Rapid infancy weight gain and subsequent obesity: Systematic reviews and hopeful suggestions. Acta PaediatricaYear: 2006;95:904–816882560|
|63.||Hong J,Shi J,Qi L,et al. Genetic susceptibility, birth weight and obesity risk in young Chinese. Int J ObesYear: 2012|
|64.||Arenz S,Ruckerl R,Koletzko B,et al. Breast-feeding and childhood obesity[mdash]a systematic review. Int J Obes Relat Metab DisordYear: 2004;28:1247–5615314625|
|65.||Wasser H,Bentley M,Borja J,et al. Infants perceived as “Fussy” are more likely to receive complementary foods before 4 months. PediatricsYear: 2011;127:229–3721220398|
|66.||Oken E,Levitan EB,Gillman MW. Maternal smoking during pregnancy and child overweight: systematic review and meta-analysis. Int J ObesYear: 2008;32:201–10|
|67.||Jacobson JL,Jacobson SW,Sokol RJ. Effects of prenatal exposure to alcohol, smoking, and illicit drugs on postpartum somatic growth. Alcohol Clin Exp ResYear: 1994;18:317–238048733|
|68.||Karaolis-Danckert N,Buyken AE,Kulig M,et al. How pre- and postnatal risk factors modify the effect of rapid weight gain in infancy and early childhood on subsequent fat mass development: results from the Multicenter Allergy Study 90. Am J Clin NutrYear: 2008;87:1356–6418469259|
|69.||Johnson RK,Wang MQ,Smith MJ,et al. The association between parental smoking and the diet quality of low-income children. PediatricsYear: 1996;97:312–178604263|
|70.||Singh AS,Mulder C,Twisk JW,et al. Tracking of childhood overweight into adulthood: a systematic review of the literature. Obes RevYear: 2008;9:474–8818331423|
|71.||Tacconelli E. Systematic reviews: CRD's guidance for undertaking reviews in health care. Lancet Infect DisYear: 2010;10:226|
|72.||Levine RS,Dahly DL,Rudolf MC. Identifying infants at risk of becoming obese: can we and should we?Public HealthYear: 2011;126:123–822177581|
|73.||Nightingale CM,Rudnicka AR,Owen CG,et al. Patterns of body size and adiposity among UK children of South Asian, black African–Caribbean and white European origin: child heart and health Study in England (CHASE Study). Int J EpidemiolYear: 2010;40:33–4421044977|
[Figure ID: ARCHDISCHILD2012302263F1]
PRISMA flow chart of search strategy and selection process.
[Figure ID: ARCHDISCHILD2012302263F2]
Pooled adjusted OR for childhood overweight from random effects meta-analysis of 7 studies:32 33 41 42 45 49 54 maternal smoking in pregnancy compared to no maternal smoking in pregnancy. ES, effect size.
[Figure ID: ARCHDISCHILD2012302263F3]
Pooled adjusted OR for childhood overweight from random effects meta-analysis of 10 studies:26 27 33 36 39 46 52–55: ever breastfed compared with never breastfed. ES, effect size.
Key characteristics of included studies
|Category||No. of studies||References|
|North America||10||28, 29, 41–44, 46, 47, 51, 52|
|Europe||12||26, 30–33, 35, 37, 45, 49, 53–55|
|Australia||3||27, 38, 39|
|South/Central America||2||48, 50|
|Asia||3||34, 36, 40|
|>20000||6||28, 30, 35, 40, 41, 53|
|10000–20000||3||33, 37, 46|
|1000–10000||14||26, 27, 31, 34, 36, 39, 42, 43, 47, 50–52, 54, 55|
|<1000||7||29, 32, 38, 44, 45, 48, 49|
|Cohort start year|
|≥2000||5||26, 32, 33, 37, 44|
|1990–1999||17||30, 34–36, 38, 40, 42, 43, 47–55|
|1980–1989||6||27, 29, 31, 39, 45, 46|
|Duration of follow-up|
|>10–16 years||3||27, 29, 50|
|5–10 years||14||28, 30, 31, 34, 36, 38–41, 44, 48, 49, 54, 55|
|2–<5 years||13||26, 32, 33, 35, 37, 42, 43, 45–47, 51–53|
|Definition of overweight|
|BMI≥85th or 95th percentile (CDC)||16||28, 29, 39–52|
|BMI≥25 kg/m2 or 30 kg/m2 (IOTF)||10||27, 30–38|
|BMI≥95th or 98th percentile (UK 1990)||2||53, 54|
|BMI≥90th or 97th percentile (France)||1||55|
|BMI≥90th or 97th percentile (German)||1||26|
|Maternal pre-pregnancy overweight||3||29, 33, 54|
|High infant birth weight||7||28, 29, 33, 40, 42, 48, 54|
|Rapid weight gain||6||28, 29, 34, 42, 48, 54|
|Maternal smoking in pregnancy*||7||32, 33, 41, 42, 45, 49, 54|
|Ever breastfeeding in infants aged less than 1 year||10||26, 27, 33, 36, 39, 46, 52–55|
|Early introduction of solid foods||4||33, 38, 47, 50|
|Longer duration of breastfeeding||5||26, 31, 35, 50, 52|
|Maternal marital status at birth||3||29, 33, 42|
|Parity||3||28, 42, 54|
|Socioeconomic status at birth||2||33, 42|
|Maternal age at birth||4||29, 35, 42, 54|
|Maternal education at birth||2||33, 42|
|Maternal depression||2||30, 43|
|Infant ethnicity||3||28, 33, 54|
|Maternal postpartum weight loss||1||51|
|Gestational weight gain||1||29|
|High (4 points)||6||28, 29, 34, 40, 43, 53|
|Moderate/low (<4 points)||24||26, 27, 30–33, 35–39, 41, 42, 44–52, 54, 55|
|High (2 points)||22||28–34, 36, 39–41, 43, 44, 46–54|
|Moderate/low (<2 points)||8||26, 27, 35, 37, 38, 42, 45, 55|
|High (3 points)||8||26, 27, 29, 36, 37, 40, 52, 54|
|Moderate/low (<3 points)||22||28, 30–35, 38, 39, 41–51, 53, 55|
*Obtained from random-effects meta-analysis.
BMI, body mass index; CDC, Centers for Disease Control and Prevention; IOTF, International Obesity Task Force.
Keywords: Infant Feeding, General Paediatrics.
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