Background: Thyroid cancer is the most rapidly increasing cancer in the United States, affects a young population, has high survival, and is one of the most common cancers in people under age 40. The aim of this study was to examine the risks of aging-related diseases in a statewide sample of thyroid cancer survivors who were diagnosed <40 years compared with those diagnosed ≥40 and a cancer-free sample.Methods: Thyroid cancer survivors diagnosed 1997 to 2012 were matched to up to 5 cancer-free individuals on birth year, sex, birth state, using the statewide Utah Population Database. Medical records were used to identify disease diagnoses stratified over three time periods: 1 to 5, >5 to 10, and 10+ years after cancer diagnosis. Cox proportional hazards models were used to estimate hazard ratios with adjustment on matching factors, race, body mass index, and Charlson Comorbidity Index.Results: There were 3,706 thyroid cancer survivors and 15,587 matched cancer-free individuals (1,365 cases diagnosed <40 years old). Both age groups had increased risks for multiple circulatory health conditions 1 to 5 years after cancer diagnosis compared with cancer-free individuals. Survivors <40 had a higher risk of hypertension, cardiomyopathy, and nutritional deficiencies.Conclusions: Increased risks for diseases associated with aging were observed for both age groups, with younger thyroid cancer survivors having higher risks for select diseases.Impact: As thyroid cancer survivors in this study were found to have increased risks for aging-related diseases, future studies are needed to assess what can be done to reduce the increased risks of these long-term health effects. Cancer Epidemiol Biomarkers Prev; 26(12); 1695-704. ©2017 AACR.

PURPOSE:Thyroid cancer is the most rapidly increasing cancer in the USA, affects a young, mostly female population, and has high survival. The aim of this study was to determine if there is an increased risk of reproductive system adverse events or pregnancy complications among women diagnosed with thyroid cancer under the age of 50. METHODS:Up to five female cancer-free individuals were matched to each female thyroid cancer survivor diagnosed before the age of 50 based on birth year, birth state, and follow-up time, within the Utah Population Database. Medical records were used to identify disease diagnoses stratified over three time periods: 0-1, > 1-5, and > 5-10 years after cancer diagnosis. Cox proportional hazards models were used to estimate hazard ratios (HR) with adjustment on matching factors, race, BMI, and Charlson Comorbidity Index. RESULTS:There were 1832 thyroid cancer survivors and 7921 matched individuals. Thyroid cancer survivors had higher rates of having multiple health conditions associated with the gynecological system (15.4% vs. 9.4%) and pregnancy (14.3% vs 9.5%) > 1-5 years after cancer diagnosis. Increased risks persisted > 5-10 years after cancer diagnosis for menopausal disorders (HR = 1.78, 99% CI = 1.37, 2.33) and complications related to pregnancy (HR = 2.13, 99% CI = 1.14, 3.98). Stratified analyses showed these risks remained increased across different treatment types. CONCLUSIONS:There were significant risk increases in reproductive system and pregnancy complications among female thyroid cancer survivors within this study. IMPLICATIONS FOR CANCER SURVIVORS:Although radiation has been linked to reproductive risks in previous studies, we found risks were increased in patients regardless of treatment.

This study evaluated the association between prenatal depression and offspring autism-related traits. The sample comprised 33 prenatal/pediatric cohorts participating in the Environmental influences on Child Health Outcomes program who contributed information on prenatal depression and autism-related traits. Autism-related traits were assessed continuously and at the diagnostic cut-off using the Social Responsiveness Scale for children up to 12 years of age. Main analyses included 3994 parent-child pairs with prenatal depression diagnoses data; secondary analyses included 1730 parent-child pairs with depression severity data. After confounder adjustment, we observed an increase in autism-related traits among children of individuals with prenatal depression compared to those without (adjusted β = 1.31 95% CI: 0.65, 1.98). Analyses stratified by child sex documented a similar significant association among boys (aβ = 1.34 95%CI: 0.36, 2.32) and girls (aβ = 1.26 95% CI: 0.37, 2.15). Prenatal depression was also associated with increased odds of moderate to severe autism-related traits (adjusted odds ratio: 1.64, 95%CI: 1.09, 2.46), the screening threshold considered high risk of autism spectrum disorder (ASD) diagnosis. Findings highlight the importance of prenatal depression screening and preventive interventions for children of pregnant individuals with depression to support healthy development. Future research is needed to clarify whether these findings reflect overlap in genetic risk for depression and ASD-related traits or another mechanism.

The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).