scholarly journals Maternal seafood intake during pregnancy, prenatal mercury exposure and child body mass index trajectories up to 8 years

Author(s):  
Eleni Papadopoulou ◽  
Jérémie Botton ◽  
Ida Henriette Caspersen ◽  
Jan Alexander ◽  
Merete Eggesbø ◽  
...  

Abstract Background Maternal seafood intake during pregnancy and prenatal mercury exposure may influence children’s growth trajectories. Methods This study, based on the Norwegian Mother, Father and Child Cohort Study (MoBa), includes 51 952 mother-child pairs recruited in pregnancy during 2002–08 and a subsample (n = 2277) with maternal mercury concentrations in whole blood. Individual growth trajectories were computed by modelling based on child’s reported weight and length/height from 1 month to 8 years. We used linear mixed-effects regression analysis and also conducted discordant-sibling analysis. Results Maternal lean fish was the main contributor to total seafood intake in pregnancy and was positively but weakly associated with child body mass index (BMI) growth trajectory. Higher prenatal mercury exposure (top decile) was associated with a reduction in child’s weight growth trajectory, with the estimates ranging from -130 g [95% Confidence Intervals (CI) = -247, -12 g] at 18 months to -608 g (95% CI = -1.102, -113 g) at 8 years. Maternal fatty fish consumption was positively associated with child weight and BMI growth trajectory, but only in the higher mercury-exposed children (P-interaction = 0.045). Other seafood consumption during pregnancy was negatively associated with child weight growth compared with no intake, and this association was stronger for higher mercury-exposed children (P-interaction = 0.004). No association was observed between discordant maternal seafood intake and child growth in the sibling analysis. Conclusions Within a population with moderate seafood consumption and low mercury exposure, we found that maternal seafood consumption in pregnancy was associated with child growth trajectories, and the direction of the association varied by seafood type and level of prenatal mercury exposure. Prenatal mercury exposure was negatively associated with child growth. Our findings on maternal seafood intake are likely non-causal.

Children ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 233
Author(s):  
María Pineros-Leano ◽  
Jaclyn A. Saltzman ◽  
Janet M. Liechty ◽  
Salma Musaad ◽  
Liliana Aguayo

Children of mothers with depressive symptoms are at a higher risk for psychosocial, behavioral, and developmental problems. However, the effects of maternal depression on children’s physical growth are not well understood. To address the gaps in the literature, this study examined the association between maternal depressive symptoms, breastfeeding behaviors, and child weight outcomes. Data from 204 mother–child dyads who participated in the STRONG Kids 1 Study were used. Mothers and children were assessed twice when the children were 3 and 4 years old. Height and weight measurements of children and mothers were collected by trained researchers during both assessments. Multiple linear regression and analysis of covariance tests were used to examine the associations between maternal depressive symptoms, breastfeeding, and age and sex-adjusted child body mass index percentile. Recurrent maternal depressive symptoms when the child was 3 and 4 years old were not associated with child body mass index percentiles (BMI-P) at age 4. Mothers who breastfed for at least 6 months had significantly lower depressive symptoms when their children were 3 years of age, but the differences did not persist at age 4. In this community sample, maternal depressive symptoms were not associated with child BMI-P, regardless of breastfeeding duration.


2021 ◽  
Author(s):  
Marisol Perez ◽  
Laura K. Winstone ◽  
Sarah G. Curci ◽  
Juan C. Hernández ◽  
Jennifer A. Somers ◽  
...  

2010 ◽  
Vol 71 (4) ◽  
pp. 178-178 ◽  
Author(s):  
Catherine Shea ◽  
John J. M. Dwyer ◽  
Elizabeth Shaver Heeney ◽  
Richard Goy ◽  
Janis Randall Simpson

2011 ◽  
Vol 6 (1) ◽  
pp. 60-68 ◽  
Author(s):  
Jennifer M. Mellor ◽  
Carrie B. Dolan ◽  
Ronald B. Rapoport

2017 ◽  
Vol 129 ◽  
pp. 179S
Author(s):  
Rosanne Henry ◽  
Adetola Louis-Jacques ◽  
Branko Miladinovic ◽  
Chinedu Nwabuobi ◽  
Valerie Whiteman

2001 ◽  
Vol 75 (2) ◽  
pp. 165-169 ◽  
Author(s):  
O. Hrazdilová ◽  
V. Unzeitig ◽  
V. Znojil ◽  
L. Izakovicová-Hollá ◽  
P. Janků ◽  
...  

Author(s):  
Yi-Fan Wu ◽  
Hsien-Yu Fan ◽  
Yang-Ching Chen ◽  
Kuan-Liang Kuo ◽  
Kuo-Liong Chien

Abstract Purpose Studies have reported the influence of adolescent obesity on development of adult diabetes, but the effect of the growth pattern during this period has rarely been explored. Also, the tri-ponderal mass index (TMI) was thought to be a better estimation of adolescent body fat levels than the body mass index (BMI), so we sought to investigate whether growth trajectories derived by these two indices could predict incident diabetes. Methods We conducted a study by using the Taipei City Hospital Radiation Building Database, a longitudinal cohort established from 1996 until now. Physical exam results including blood test results were collected annually and the BMI z-score/TMI growth trajectory groups during 13–18 years of age were identified using growth mixture modeling. A Cox proportional hazard model for incident diabetes was used to examine the risk of baseline obese status and different BMI/TMI growth trajectories. Results Five growth trajectory groups were identified for the BMI z-score and the TMI. During approximately 20,400 person-years follow-up, 33 of 1,387 participants developed diabetes. Baseline obesity defined by the BMI z-score and the TMI were both related to adult diabetes. The persistent increase TMI growth trajectory exhibited a significantly increased risk of diabetes after adjusting for baseline obese status and other correlated covariates (hazard ratio: 2.85, 95% confidence interval (CI): 1.01–8.09). There was no association between BMI growth trajectory groups and incident diabetes. Conclusions A specific TMI growth trajectory pattern during adolescence might be critical for diabetes prevention efforts.


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