Pregnancy risk factors in relation to oppositional-defiant and conduct disorder symptoms in the Avon Longitudinal Study of Parents and Children

2018 ◽  
Vol 101 ◽  
pp. 63-71 ◽  
Author(s):  
I. Hyun Ruisch ◽  
Jan K. Buitelaar ◽  
Jeffrey C. Glennon ◽  
Pieter J. Hoekstra ◽  
Andrea Dietrich
2016 ◽  
Vol 19 (18) ◽  
pp. 3369-3377 ◽  
Author(s):  
Caroline J Bull ◽  
Kate Northstone

AbstractObjectiveTo investigate the prospective associations between dietary patterns in childhood and CVD risk in adolescence.DesignProspective cohort study. Exposures were dietary patterns at age 7, 10 and 13 years derived by cluster analysis. Outcomes were physiological and biochemical cardiovascular risk markers.SettingAvon Longitudinal Study of Parents and Children (ALSPAC), UK.SubjectsChildren (n2311, 44.1 % male) with complete data available.ResultsAfter adjustment for known confounders, we observed an association between being in the ‘Processed’ and ‘Packed lunch’ dietary pattern clusters at age 7 and BMI at age 17. Compared with the ‘healthy’ cluster, the OR (95 % CI) for being in the top 10 % for BMI was 1·60 (1·01, 2·55;P=0·05) for the ‘Processed’ cluster and 1·96 (1·22, 3·13;P=0·005) for the ‘Packed lunch’ cluster. However, no association was observed between BMI and dietary patterns at age 10 and 13. Longitudinal analyses showed that being in either the ‘Processed’ or ‘Packed lunch’ cluster at age 7 was associated with increased risk of being in the top 10 % for BMI regardless of subsequent cluster membership. No associations between other cardiovascular risk measures and dietary patterns were robust to adjustment for confounders.ConclusionsWe did not find any consistent evidence to support an association between dietary patterns in childhood and cardiovascular risk factors in adolescence, with the exception of BMI and dietary pattern at age 7 only. However, the importance of dietary intake in childhood upon health later in life requires further investigation and we would encourage the adoption of a healthy diet as early in life as possible.


2021 ◽  
Author(s):  
Mohamed Abdulkadir ◽  
Jay Tischfield ◽  
Gary Heiman ◽  
Pieter Hoekstra ◽  
Andrea Dietrich

BACKGROUND: Tourette syndrome (TS) is caused by multiple genetic and environmental factors. Yet, little is known about the interplay of these factors in the occurrence of tics in the general population. METHODS: Using logistic regression, we investigated whether polygenic risk score (PRS) of TS and pregnancy-related environmental factors together enhance the explained variance of tic occurrence (as opposed to separate analysis) in the Avon Longitudinal Study of Parents and Children. We included a cumulative adverse pregnancy risk score, maternal anxiety and depression, and maternal smoking and alcohol use during pregnancy. We investigated possible independent (i.e. additive) genetic and environmental effects, gene-environment correlations (rGE), gene-environment interactions (G x E), and mediation effects in explaining tic presence. RESULTS: Models that contained the PRS and the cumulative adverse pregnancy risk score, maternal anxiety, or maternal depression (but not maternal smoking and alcohol use) explained significantly more variance of tic presence compared to models including only the PRS, pointing to additive effects. Furthermore, we found that maternal anxiety, depression, and smoking were mediated by the cumulative adverse pregnancy risk score, and were thus all indirectly associated with tics through pregnancy complications. We did not find rGE or G x E. CONCLUSIONS: We found evidence for both direct and indirect associations of environmental risk factors in relation to tics in the general population. Combining PRS and environmental risk factors improve our understanding of tics compared to considering these factors in isolation, suggesting both additive and mediation effects.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yingxin Chen ◽  
Susan Hodgson ◽  
John Gulliver ◽  
Raquel Granell ◽  
A. John Henderson ◽  
...  

Abstract Background Evidence suggests that exposure to particulate matter with aerodynamic diameter less than 10 μm (PM10) is associated with reduced birth weight, but information is limited on the sources of PM10 and exposure misclassification from assigning exposures to place of residence at birth. Methods Trimester and source-specific PM10 exposures (PM10 from road source, local non-road source, and total source) in pregnancy were estimated using dispersion models and a full maternal residential history for 12,020 births from the Avon longitudinal study of parents and children (ALSPAC) cohort in 1990–1992 in the Bristol area. Information on birth outcomes were obtained from birth records. Maternal sociodemographic and lifestyle factors were obtained from questionnaires. We used linear regression models for continuous outcomes (birth weight, head circumference (HC), and birth length (BL) and logistic regression models for binary outcomes (preterm birth (PTB), term low birth weight (TLBW) and small for gestational age (SGA)). Sensitivity analysis was performed using multiple imputation for missing covariate data. Results After adjustment, interquartile range increases in source specific PM10 from traffic were associated with 17 to 18% increased odds of TLBW in all pregnancy periods. We also found odds of TLBW increased by 40% (OR: 1.40, 95%CI: 1.12, 1.75) and odds of SGA increased by 18% (OR: 1.18, 95%CI: 1.05, 1.32) per IQR (6.54 μg/m3) increase of total PM10 exposure in the third trimester. Conclusion This study adds to evidence that maternal PM10 exposures affect birth weight, with particular concern in relation to exposures to PM10 from road transport sources; results for total PM10 suggest greatest effect in the third trimester. Effect size estimates relate to exposures in the 1990s and are higher than those for recent studies – this may relate to reduced exposure misclassification through use of full residential history information, changes in air pollution toxicity over time and/or residual confounding.


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