2020
DOI: 10.1016/j.jpeds.2020.06.019
|View full text |Cite
|
Sign up to set email alerts
|

Early Weight Gain Forecasts Accelerated Eruption of Deciduous Teeth and Later Overweight Status during the First Year

Abstract: Objectives.-To determine whether early diet and weight gain velocity have independent or interactive effects on deciduous teeth emergence and overweight status during the first year.Study design.-Monthly measures of anthropometry and teeth eruption were collected during 1-year trial (0.5-12.5 months) on formula-fed (FF) infants in which the type of randomized infant formula (cow milk or extensively hydrolyzed protein) diet significantly affected early (0.5-4.5 months) weight gain velocity. Generalized linear m… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(7 citation statements)
references
References 32 publications
4
3
0
Order By: Relevance
“…Yet the consequence of the experimental treatment-velocities of weight gain during the first 4 months-predicted the weight status of these infants at 1.5 years. This finding extends prior report that a greater proportion of children with early rapid weight gain were overweight when 10.5 months of age, 8 months earlier than 1.5 years [36]. Unlike retrospective and prospective observational studies, which cannot elucidate causal relationships, the RCT design of the parent study and the balance between the groups for a variety of maternal and infant characteristics that are known confounders for later weight status [33][34][35] minimized selection biases and enabled us to determine the effects of infant formula diet, early weight gain velocity, and other significant covariates in predicting body weight status of toddlers, while keeping other variables constant.…”
Section: Discussionsupporting
confidence: 89%
See 2 more Smart Citations
“…Yet the consequence of the experimental treatment-velocities of weight gain during the first 4 months-predicted the weight status of these infants at 1.5 years. This finding extends prior report that a greater proportion of children with early rapid weight gain were overweight when 10.5 months of age, 8 months earlier than 1.5 years [36]. Unlike retrospective and prospective observational studies, which cannot elucidate causal relationships, the RCT design of the parent study and the balance between the groups for a variety of maternal and infant characteristics that are known confounders for later weight status [33][34][35] minimized selection biases and enabled us to determine the effects of infant formula diet, early weight gain velocity, and other significant covariates in predicting body weight status of toddlers, while keeping other variables constant.…”
Section: Discussionsupporting
confidence: 89%
“…As shown in Table 1, there were no significant group differences in any measured characteristics of the infants or their mothers at baseline, as was previously observed for the entire cohort [13]. Next, we established that the type of infant formula fed had significant effects on early weight gain velocity but not length gain velocity, as previously reported [13,36]. Of the 83 infants who completed the RCT at 1 year, the CMF group gained 29.2 g/day (95% CI: 27.6-30.8), and the EHF group gained 26.1 g/day (95% CI: 23.9-28.4) from 0.5 to 4.5 months (Table 2).…”
Section: Participant Characteristicssupporting
confidence: 76%
See 1 more Smart Citation
“…As expected [ 41 , 46 ], greater velocity of weight gain predicted weight status (r = 0.59; p < 0.001) and fat mass (r = 0.45; p = 0.02) at 1 year. Children who were with overweight at 1 year tended to have lower relative abundance of Clostridia at 3–4 months (15.7 ± 5.3) compared to 1-year-olds who were a healthy weight (27.8 ± 4.2; p = 0.08).…”
Section: Resultssupporting
confidence: 80%
“…To probe the relationships between continuous outcomes related to gut microbiota or metabolome and formula-induced differences in clinical phenotypes reported previously [ 26 , 41 ], simple and partial Pearson correlation analyses were conducted. Statistical analyses of data on gut microbiota, fecal amino acids, and bacterial genes were implemented in R (version 4.1.1) and higher [ 42 ] or Graphpad Prism (version 9.2.0; Graphpad Software Inc., San Diego, CA, USA); associations with clinical outcomes were conducted using Statistica version 14.0 (StatSoft Inc., Tulsa, OK, USA).…”
Section: Methodsmentioning
confidence: 99%