Growth Trajectories of Body Mass Index during Childhood: Associated Factors and Health Outcome at Adulthood

Péneau, Sandrine; Giudici, Kelly Virecoulon; Gusto, Gaëlle; Goxe, Didier; Lantieri, Olivier; Herçberg, Serge; Rolland-Cachera, M. F.

doi:10.1016/j.jpeds.2017.02.010

Cited by 58 publications

(75 citation statements)

References 36 publications

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“…The patterns and validity of these trajectories in our study was supported by their similarity to trajectories reported in previous studies with different approaches and samples [21][22][23]. For example, Buscot et al noted six distinct child-to-adult BMI trajectories and indicated that trajectories reach or persist at high levels associate with CVD risk factors in adulthood [24].…”

Section: Discussionsupporting

confidence: 89%

Association of Cesarean Birth with Body Mass Index Trajectories in Adolescence

Zhou

Zhang

Sun

et al. 2020

IJERPH

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Background: This study aimed to identify patterns of body mass index (BMI) changes in adolescence and to assess whether delivery mode (Cesarean and vaginal delivery) was associated with BMI trajectories. Methods: This study was conducted among 569 adolescents aged 10-15 years that resided in the city of Zibo, China. The height and weight of each participant were repeatedly measured at 10, 11, 12, 13, 14 and 15 years. Group based trajectory modeling (GBTM) was used to estimate BMI change trajectories, and multinomial logistic regression was conducted to evaluate the independent association of delivery mode and BMI trajectory classes. Results: Of the 569 participants, 407 (71.5%) were vaginal deliveries and 162 (28.5%) were Cesarean deliveries. Five distinct long-term BMI trajectories were identified: "persistent healthy weight" (57.5%), "persistent underweight" (6.5%), "obesity to healthy weight" (7.8%), "progressive overweight" (10.6%), "progressive obesity" (17.6%). Adjusted multinomial logistic models revealed a twofold increase in risks between ages 10-15 years of "progressive obesity" trajectory (OR = 2.50, 95% CI: 1.42, 4.41) for children born through Cesarean section compared with vaginal birth. Conclusions: Five distinct long-term BMI trajectories were identified during adolescence in our research, and we confirmed that Cesarean birth was significantly increased the risk of "progressive obesity" trajectory but not the "obesity to healthy weight" trajectory.

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Section: Discussionsupporting

confidence: 89%

Association of Cesarean Birth with Body Mass Index Trajectories in Adolescence

Zhou

Zhang

Sun

et al. 2020

IJERPH

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“…Table provides an overview of the characteristics of the included studies and their quality ratings, seven of the 14 studies considered of good quality and seven of fair quality . A total of 11 of the included studies were conducted in high‐income countries: one in Singapore, one in Germany, two in Australia, three in the United States, one in Spain, two in Finland, and one in France . One study pooled data from five high‐income countries, and one pooled data from one middle‐income and 10 high‐income countries .…”

Section: Resultsmentioning

confidence: 99%

“…Sample sizes varied across the studies, ranging from 246 to 12 050, and the median was 1469. Almost all (n = 13) of the studies used data from cohort studies, and one used data from a randomised controlled trial (RCT) . The RCT investigated the effects on the primary prevention of asthma of an intervention comprising house dust mite avoidance and omega‐3 fatty acid supplementation from birth to 5 years.…”

Section: Resultsmentioning

confidence: 99%

Group‐based trajectory modelling for BMI trajectories in childhood: A systematic review

et al. 2019

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Childhood obesity is an important public health issue. We aimed to systematically review studies that used group-based trajectory modelling approaches to investigate body mass index (BMI) trajectories in early childhood, explore associated determinants, and the association with body composition outcomes. Five databases were searched systematically for studies using group-based trajectory modelling approaches to track BMI trajectories from birth. Fourteen studies using latent class growth analysis or growth mixture modelling to track BMI trajectories were identified. Three or four trajectories were identified in most studies. High maternal prepregnancy BMI was the most frequently identified risk factor for membership of a rapid gain trajectory. Significant associations between rapid weight gain and stable high trajectories and body measures at follow-up were identified by several studies.Relatively similar trajectories were identified across studies. Trajectories characterized by rapid weight gain were associated with several predictors, as well as body measures at follow-up, however not with great consistency. Similar associations with body measure outcomes were found for stable high and rapid gain trajectories, suggesting that long-term outcomes do not differ greatly between children with consistently high BMI and children with rapid increases in BMI. As the shape and timing of the trajectories differed between studies, it is difficult to draw conclusions.

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“…Growth trajectories in children and adolescents have been described for other cohorts, often utilizing group‐based trajectory modelling (latent class growth modelling) approaches which identify distinct trajectory shapes, for example, for BMI or BMI z scores . The approach we have used in the present work allows separation of the effects of early growth (or weight) status (at 2.5 years) and subsequent rapid growth (to 14 years).…”

Section: Discussionmentioning

confidence: 99%

“…Rapid weight gain in childhood is associated with higher risk for metabolic disease in later life . However, the timing and pattern of the weight gain across childhood, ie, the shape of the trajectory among and within populations, varies .…”

Section: Introductionmentioning

confidence: 99%

Pacific Islands Families Study: Physical growth to age 14 and metabolic risk

et al. 2019

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Summary Background The relationships between the trajectories of weight gain from early childhood to adolescence and risk for metabolic disease are not well understood. Objective The objective of the study is to examine the relationships between weight gain from 2 to 14 years and metabolic risk factors at age 14 years in Pacific Island children. Methods z scores for weight were calculated at each of the ages 2.5, 4, 6, 9, 11, and 13.5 years in 1053 children. Growth trajectories were determined by estimating the linear trend of z scores with age for each child. In a subgroup of 204 children, biomarkers of metabolic risk were measured and related to linear trend intercepts and slopes. Results More rapid growth (greater slope of z score trajectory) was associated with higher concentrations of insulin, leptin (boys), urate, and markers of liver function, insulin resistance and inflammation. Children with higher weights in early life (greater intercept) showed fewer associations with metabolic markers, but considered together, intercept and slope were independently associated with a range of metabolic risk factors. Conclusions Both rapid weight gain and a higher body weight in early childhood were associated with higher risk for metabolic disease. Monitoring growth trajectories may help target interventions to optimize nutrition, physical activity, and growth.

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Growth Trajectories of Body Mass Index during Childhood: Associated Factors and Health Outcome at Adulthood

Cited by 58 publications

References 36 publications

Association of Cesarean Birth with Body Mass Index Trajectories in Adolescence

Association of Cesarean Birth with Body Mass Index Trajectories in Adolescence

Group‐based trajectory modelling for BMI trajectories in childhood: A systematic review

Pacific Islands Families Study: Physical growth to age 14 and metabolic risk

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