Elsevier

Nutrition

Volume 33, January 2017, Pages 58-64
Nutrition

Applied nutritional investigation
Weight following birth and childhood dietary intake: A prospective cohort study

https://doi.org/10.1016/j.nut.2016.08.008Get rights and content

Highlights

  • Both intrauterine and postnatal growth played a major role in dietary intake at age 4.

  • Higher-birth-weight children ate less energy-dense food and dairy.

  • Children with lower newborn weight loss ate less fruit.

  • Children who caught up in growth in the first year of life ate more dairy products.

  • Children with higher weight had a dietary pattern rich in energy-dense food and dairy.

Abstract

Objectives

Unhealthy childhood dietary habits track through life and are independent and modifiable risk factors for disease. Therefore, it is essential to understand the factors involved. We aimed to evaluate the associations of birthweight (BW) and newborn weight change (NWC) during the first 96 h of life and childhood longitudinal weight trajectories with dietary intake at age 4.

Methods

As part of the Generation XXI birth cohort (G21), children were recruited in 2005 and 2006 at all public units providing obstetrical and neonatal care in Porto, Portugal. Information was collected by face-to-face interview and abstracted from clinical records. At age 4, weight measurements recorded from birth to current age were abstracted and weight trajectories estimated. Food frequency questionnaires were applied, and three dietary patterns (DPs) were identified: “Energy-dense food (EDF)+Dairy,” “Lower in Healthy Food,” and “Healthier.” Logistic regression models were used to compute the odds ratio (OR) and 95% confidence intervals (CIs) (OR [95% CI]) in a sample of 775 children.

Results

Children with higher BW were less frequently in the “EDF+Dairy” DP (0.94 [0.89–0.98] per 100 g increase in BW). Children with higher NWC had lower odds of eating fruit ≥3/d (0.93 [0.87–0.99] per 1% increase in NWC). Children with higher weight during childhood had higher odds of belonging to the “EDF+Dairy” DP (1.90 [1.04–3.47]) and lower odds of eating vegetable soup ≥2/d (0.56 [0.34–0.91]). Children showing catch-up grow in the first year of life had higher odds of eating dairy products ≥3/d (3.76 [1.31–10.80]).

Conclusions

The way that children grow during childhood played a major role on dietary intake at age 4.

Introduction

The prevention of adverse lifestyles such as unhealthy dietary habits in early childhood has become increasingly important, mainly due to the increasing prevalence of overweight among preschool children [1]. Moreover, unhealthy dietary habits track into later ages and are also considered independent and modifiable risk factors for cardiovascular disease and type 2 diabetes [2]. Therefore, it is essential to understand the determinants of childhood dietary habits.

Previous studies have suggested that a period of inadequate nutrition and growth can “program” an individual's food preferences later in life [3], [4], [5], [6], [7], [8]. A classic example of this so-called “programming” is the preference for fatty foods later in life in children whose mothers were exposed to the Dutch famine during pregnancy [6]. In a more recent study, poor fetal growth was positively correlated with hedonic response to a sweet solution in the first day of life [3]. Even in young adults, intrauterine growth restriction was associated with preference for carbohydrates over protein in regular diets [4]. However, programming is not limited to gestation; evidence shows that it extends from the periconception period throughout the postnatal period, adding to the importance of studying growth in a longitudinal way [9].

In addition to programming appetite, early inadequate nutrition and growth can affect childhood dietary habits by influencing parental beliefs and feeding practices [10]. In addition, it may cause problems in feeding, such as swallowing, vomiting, refusal to eat, or neophobia [11], [12], and eating disorders such as anorexia and bulimia nervosa [13].

Although the relation between fetal growth and dietary habits has been addressed previously [3], [4], [5], [6], [7], [8], to the best of our knowledge, there have been no studies of the impact of growth during early postnatal life on later dietary intake. The use of longitudinal weight trajectories to evaluate this association is also novel.

Therefore, we aimed to evaluate the association of birth weight (BW), newborn weight change (NWC), and childhood weight trajectories with dietary intake at age 4, including specific food groups and items, and a posteriori-defined dietary patterns (DPs).

Section snippets

Participants

Participants were recruited to the Generation XXI (G21) birth cohort [14] between April 2005 and August 2006, during the hospital stay, from all five public units providing obstetrical and neonatal care in the metropolitan area of Porto, Portugal. A total of 8647 newborns were recruited to G21. At age 4, the total cohort was invited to a reevaluation.

For this study, we only used data from children recruited since November 2005 because only since that date was a second weight measurement

Results

In this sample of 775 full-term singletons (50.3% male), mean BW was 3255 g (SD 437 g) and mean NWC was −6.8% (SD 2.4%). Regarding weight trajectories, 507 (65.4%) children were classified in the trajectory “normal weight gain,” 95 (12.3%) in the “persistent weight gain,” 125 (16.1%) in the “weight gain during childhood,” and 48 (6.2%) in the “weight gain during infancy” (Table 1).

At age 4, 604 (77.9%) children consumed dairy products ≥3 times/d, 596 (76.9%) consumed vegetable soup ≥2 times/d,

Discussion

Using data from a previously used FFQ [17], we found that higher BW was associated with lower odds of being in the “EDF+Dairy” DP and higher NWC was associated with lower odds of consuming fruit ≥2 times/d. Children in the “persistent weight gain” trajectory had lower odds of consuming vegetable soup ≥2 times/d and higher odds of being in the “EDF+Dairy” DP, whereas children in the “weight gain during infancy” trajectory had higher odds of consuming dairy products ≥3 times/d.

The mechanisms by

Conclusions

Intrauterine growth measured as BW, and particularly the way children gain weight during childhood, played a role in dietary intake at age 4. We believe that these results are important for public health because dietary habits acquired in childhood persist through to adulthood and are independent and modifiable risk factors for later disease risk.

Acknowledgments

The authors gratefully acknowledge the families enrolled in G21 for their kindness in participating, all members of the research team for their enthusiasm and perseverance, and the participating hospitals and their staff for their help and support.

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      At age 7 years, fat mass (kg) and lean mass (kg) were obtained during DXA scanning described for bone assessment. Patterns in weight gain trajectories were identified through normal mixture modeling for model-based clustering in 5225 participants, as previously described.24 Four different weight trajectories for both sexes combined were defined, which are plotted in Figure 2.

    G21 was funded by the Programa Operacional de Saúde, Saúde XXI, Quadro Comunitário de Apoio III and Administração Regional de Saúde Norte (Regional Department of Ministry of Health), with support through FEDER from the Factors of Competitiveness Operational Program (COMPETE), and through national funding from the Foundation for Science and Technology (SFRH/BD/69945/2010 and PTDC/SAU-ESA/105033/2008; FCOMP-01-0124-FEDER-011008) and from the Calouste Gulbenkian Foundation.

    The authors declare no competing financial interests.

    Authors' contributions: MJF and ACS designed research; MJF, CD, CL, and ACS conducted research; MJF and CD analyzed data or performed statistical analysis; MJF and ACS wrote paper; MJF and ACS had primary responsibility for final content. All authors read and approved the final manuscript. MJF and ACS had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

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