Maternal depression trajectories and child BMI in a multi-ethnic sample: a latent growth modeling analysis

Background Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum. Methods This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897). Results The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, p<.01), and the rate of change of depression across the perinatal and postpartum periods (B=.09, p<.01) were associated with child BMI at 54-months postpartum. After controlling for sociodemographic characteristics, antenatal depression, but not the slope of depression, remained significantly associated with child BMI (B=.05, p<.05). When controlling for maternal pre-pregnancy BMI the effect of antenatal depression on child BMI at 54-months was entirely attenuated (χ2 (9) = 39.60, p < .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213). Conclusions Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health.

1232Relationship between leucine metabolism and executive function development: the GUSTO cohort

Background Molecular biomarkers for cognitive function have also been widely investigated. However, few investigated early development of executive function (EF) comprehensively, which is a higher-level of cognitive function responsible for coordinating other cognitive ability. Methods We investigated the metabolomic biomarkers for EF in a multi-ethnicity birth cohort in Singapore. Circulating level of 165 metabolites were quantified using a nuclear magnetic resonance (NMR)-based metabolomics platform in 457 and 524 children at age 6 and 8 years. EF was assessed in 495 children (∼7 years) using parent-reported Behavior Rating Inventory of Executive Function, Second Edition. We incorporated genetic data and performed mediation analysis to investigate the role of rs1260326 (GCKR) in the relationship between leucine metabolism and EF. Results Higher circulating level of leucine was consistently associated with poorer EFs (Initiate, Working Memory, Plan/Organize, Task-Monitor, and Organization of Materials) after adjusting for age, sex, maternal ethnicity, maternal educational level, household income at recruitment, and child body-mass index (BMI). Comparing to CT genotype, CC genotype in rs1260326 is potentially associated with poorer EFs. But these associations were not mediated via circulating leucine level or BMI. Higher circulating leucine exerts effect on EFs and part of the effect may be via impact on BMI. Leucine-BMI interaction may exist in CT subgroup. Conclusions Our analysis suggested that leucine exerts harmful effect on EF, but at a lower level, leucine-BMI interaction may counteract with the effect of leucine. Key messages Higher level of circulating leucine was associated with poorer EF. Leucine-BMI interaction influences the leucine-EF association.

Maternal Depression Trajectories and Child BMI in a Multi-ethnic Sample: A Latent Growth Modeling Analysis

Background: Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum.Methods: This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897).Results: The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, p<.01), and the rate of change of depression across the perinatal and postpartum periods (B=.09, p<.01) were associated with child BMI at 54-months postpartum. After controlling for sociodemographic characteristics, antenatal depression, but not postnatal depression, remained significantly associated with child BMI (B=.05, p<.05). When controlling for maternal pre-pregnancy BMI the effect of antenatal depression on child BMI at 54-months was entirely attenuated (χ² (9) = 39.60, p < .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213).Conclusions: Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health.

Maternal Depressive Symptoms and Their Association with Breastfeeding and Child Weight Outcomes

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.

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

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.

PREVALENCE AND RISK FACTORS OF UNDERWEIGHT FOR ADOLESCENT IN INDONESIA: A CROSS-SECTIONAL FROM GLOBAL SCHOOL-BASED STUDENT HEALTH SURVEY 2015

Objective: The aim of this study was to estimate the prevalence and risk factors of underweight among adolescents in Indonesia in 2015.Methods: Cross-sectional data were analyzed from 7643 school-going adolescents from Indonesia, the "Global School-Based Student Health Survey (GSHS)" in 2015. Bodyweight was inspected by self-reported weight and height and the standards of child body mass index from WHO. The data were analyzed by univariate, bivariate, and associations with underweight were assessed using multinomial logistic regression analysis.Results: The prevalence of adolescents was found that 3002 (39.3%) were underweight in Indonesia, 2015. Sex of the adolescent who has high risk underweight was female (AOR=1.72, 95% CI=1.57-1.90) with an age range of 10-15 years old (AOR=2.37, 95% CI=2.09-2.69). Alcohol use (AOR=0.73, 95% CI=0.60-0.89) and drug use (AOR=1.82, 95% CI=1.01-3.04) were risk behavior factors for underweight among adolescents in Indonesia.Conclusion: High prevalence of underweight for adolescent were identified in Indonesia. Several correlates were identified which can help to adjust interventions from the government to the adolescent in each province.