The relationship between birth weight, adiposity rebound and overweight at the age of 17 years (results of the Lithuanian longitudinal growth study, 1990–2008)

Suchomlinov, Andrej; Tutkuvienė, Janina

doi:10.1127/0003-5548/2014/0406

Cited by 4 publications

(4 citation statements)

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“…A number of studies support that a greater intake of UPF is associated with overweight or obesity [17][18][19][20][21][22][23]. However, in our study, UPF consumption was not significantly associated with BMI values or the risk of overweight and obesity among children after the adjustment for confounding factors, which is in accordance with a prior cross-sectional study based on the UK National Diet and Nutrition Survey [48] and follow-up studies in Brazil and Portugal [49,50].…”

Section: Discussionsupporting

confidence: 89%

“…The emerging evidence supports that birth weight is associated with later BMI [17,18], BMI z-score [19,20] and risk of overweight or obesity among children [21][22][23]. The epidemiological studies have consistently identified that high birth weight (HBW) is related to increased BMI [17] and the risk of overweight or obesity in childhood [24][25][26][27].…”

Section: Introductionmentioning

confidence: 94%

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Ultra-Processed Food as Mediator of the Association between Birthweight and Childhood Body Weight Outcomes: A Retrospective Cohort Study

Hou,

Qiu

2023

Nutrients

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Previous studies have shown conflicting findings regarding the association between birthweight and childhood adiposity. We aimed to explore the interaction between ultra-processed food (UPF) and birthweight and its associations with bodyweight markers. The retrospective analysis of data from a Multicity Cohort Study across eastern China was conducted. UPF was computed as percentage of the energy intake and categorized into quartiles. Birthweight was categorized into low (LBW), normal (NBW) and high (HBW). The BMI z-score was calculated using the lambda-mu-sigma method. The sex- and age-specific BMI cutoff points were used to define weight status. Generalized linear models were used to examine modification effects and were performed after adjustment for covariates. The mean percentage of energy intake from UPF was 27.7% among 1370 children. Of all children, 2.3% and 21.4% were born with LBW and HBW, respectively. HBW was a permanent risk for high BMI measures, while LBW was associated with increased BMI measurements only by the addition of the interaction term. The subgroup analysis revealed that HBW and LBW were positively associated with BMI measurements in the lowest UPF intake (Q1), while HBW was related to high BMI measures in Q4. Our findings support efforts to recommend limiting UPF intake, especially for LBW children.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 94%

Ultra-Processed Food as Mediator of the Association between Birthweight and Childhood Body Weight Outcomes: A Retrospective Cohort Study

Hou,

Qiu

2023

Nutrients

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“…Most term SGA babies showed significantly rapid weight gain or catch-up growth (CUG) compensating for intrauterine restraint within the first two years of life [ 2 ]. Nevertheless, overweight and premature appearance of adiposity rebound (AR), which was reported to be a predictive marker of obesity and other metabolic syndromes in adulthood [ 3 – 5 ], can be observed in early childhood of SGA as well [ 6 ]. Growing evidences have suggested an increased long-term risk of excessive adiposity and the accompanying comorbidities across the life among infants who have been found to be with intrauterine growth restriction followed by rapid weight gain in infancy [ 7 – 9 ].…”

Section: Introductionmentioning

confidence: 99%

Insights into infancy weight gain patterns for term small-for-gestational-age babies

Shi

Yang

et al. 2018

Nutr J

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BackgroundToo fast or slow weight gain in infancy is bad for health in later life. In this study, we aim to investigate the optimal weight gain pattern during the first 2 y of life for term small-for-gestational-age (SGA) infants.MethodWe employed data from a longitudinal, community-based cohort study on the growth and development of SGAs collected between 2004 and 2010 in Shanghai, China.Latent class growth analysis (LCGA) was applied to identify weight gain patterns among 3004 SGAs. BMI curves for each latent class from 1 mo to 5 y were produced through mixed-effects regression analysis. Multivariable regression was performed to examine the association between various classes and adverse outcomes (overweight/obesity/ malnutrition) during 2–5 y.ResultFive weight gain patterns aged 0–2 y of 3004 term SGAs were identified and labeled as follows--class 1: excessively rapid catch-up growth (10.7%); class 2: rapid catch-up growth (19.7%); class 3: appropriate catch-up growth (55.7%); class 4: slow catch-up growth (10.2%); class 5: almost no catch-up growth (3.7%). A decreasing age at adiposity rebound (AR) and an increasing BMI value were observed from class 5 to 1. Class 1 and 2 showed an early appearance of AR (< 4 y). SGAs in class 1 and 2 had a higher BMI in 2–5 y of life. After adjustment for potential confounding variables, class 1 and 2 were found to have an increased risk of being overweight/ obese. At the same time, we found the risk of malnutrition was especially prominent among SGAs in classes 4 and 5.ConclusionOur results suggest that for term SGA infants, catch-up growth that crossing two centile levels, that is, from < 10th to the interval between 25th and 50th (ΔWAZ> 1.28) in the first several months, along with on track growth and maintenance at a median level by age 2 may be the optimal catch-up growth trajectory, minimizing risk of childhood adverse health outcomes.

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“…There are lots of evidence about the risk factors for becoming overweight during childhood: gender (Steur et al, 2011), big birth weight (Pereira-Freire, Lemos, de Sousa, Meneses, & Rondo, 2015;Sacco, de Castro, Euclydes, Souza, & Rondo, 2013;Suchomlinov & Tutkuviene, 2014;Woo Baidal et al, 2016), relationship with parents (Blewitt, Bergmeier, Macdonald, Olsson, & Skouteris, 2016), parental excess weight and education level (Parikka et al, 2015;Smetanina et al, 2015), passive smoking (Steur et al, 2011), the number and gender of siblings (Mosli et al, 2016), breakfast skipping and lower meals frequency (Smetanina et al, 2015). Depression can be the reason as well as the consequences of the excess weight (Russell-Mayhew, McVey, Bardick, & Ireland, 2012).…”

mentioning

confidence: 99%

Parental Weight Status, Birth Weight and Depression Signs Influence on Child’s z-BMI

et al. 2019

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Objectives: Overweight and obesity has become an important worldwide health issue, that is why the risk factors for gaining excess weight are being studied a lot. Big birth weight and parental overweight are known risk factors for childhood overweight. The association between psychological issues and excess weight is bidirectional. Aim of our research was assessing if there was any association between parental weight status, birth weight or signs of depression and the exact value of already overweight child’s standardized body mass index (z-BMI). Study design: Cross-sectional study. Materials and Methods: All 303 respondents included were six to seventeen years old patients of the first weight correction programme in Baltic states. Their first day data were gathered from Children’s Clinical University Hospital electronic databases Andromeda and Saule, as well as from outpatient medical records. Height and weight data were turned into z-BMI. Depression signs had been assessed using Children Depression Inventory (by M. Kovacs, 1992). Parental weight status and child’s birth weight had also been documented. Results: From all 303 respondents 141 (47%) were boys. Median age 12 (IQR 10-15) years. The median z-BMI was significantly higher in boys than in girls (2.97 (IQR 2.59-3.37) vs. 2.59 (IQR 2.13-2.90), p<0.001). Parental weight status correlated significantly with z-BMI value in boys (r=0.17, p=0.043) and in girls (r=0.18, p=0.026). The correlation became stronger when controlled by birth weight and signs of depression: r=0.87, p=0.005 for boys; r=0.96, p<0.001 for girls. There was no significant correlation between z-BMI and either birth weight or signs of depression. Conclusions: The parental excess weight correlated significantly with the z-BMI of their son or daughter. The signs of depression and birth weight had no significant association with z-BMI.

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The relationship between birth weight, adiposity rebound and overweight at the age of 17 years (results of the Lithuanian longitudinal growth study, 1990–2008)

Cited by 4 publications

References 0 publications

Ultra-Processed Food as Mediator of the Association between Birthweight and Childhood Body Weight Outcomes: A Retrospective Cohort Study

Ultra-Processed Food as Mediator of the Association between Birthweight and Childhood Body Weight Outcomes: A Retrospective Cohort Study

Insights into infancy weight gain patterns for term small-for-gestational-age babies

Parental Weight Status, Birth Weight and Depression Signs Influence on Child’s z-BMI

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