Lifetime residential history collection and processing for environmental data linkages in the ABCD study.

By using geospatial information such as participants' residential history along with external datasets of environmental exposures, ongoing studies can enrich their cohorts to investigate the role of the environment on brain-behavior health outcomes. However, challenges may arise if clear guidance and key quality control steps are not taken at the outset of data collection of residential information. Here, we detail the protocol development aimed at improving the collection of lifetime residential address information from the Adolescent Brain Cognitive Development (ABCD) Study. This protocol generates a workflow for minimizing gaps in residential information, improving data collection processes, and reducing misclassification error in exposure estimates.

Lifetime residential data collection protocol for the Adolescent Brain Cognitive Development (ABCD) Study.

Understanding the impacts of environmental exposures on health outcomes during development is an important area of research for plenty of reasons. Collecting retrospective and prospective residential history can enrich observational studies through eventual linkages to external sources. Augmenting participant health outcome data with environmental data can better inform on the role of the environment, thereby enhancing prevention and intervention efforts. However, collecting the geospatial information needed for this type of research can be difficult, especially when data are collected directly from participants. Participants' residential histories are unique and often complex. Collecting residential history data often involves capturing precise spatial locations along specific timeframes as well as contending with recall bias and unique, complex living arrangements. When trying to assess lifetime environmental exposures, researchers must consider the many changes in location a person goes through and the timeframes in which these changes occur, ultimately creating a multidimensional and dynamic dataset. Creating data collection protocols that are feasible to administer, result in accurate data, and minimize data missingness is a major challenge to undertake. Here, we provide an overview of the protocol developed to collect the lifetime residential address information of participants in the Adolescent Brain Cognitive Development (ABCD) Study.

Detailed assessment of suicidal ideation in youth with bipolar disorder versus major depressive disorder.

OBJECTIVES: There is a critical need to better understand the factors underlying the increased suicide risk for youth with bipolar disorder (BD) in order to develop targeted prevention efforts. This study aimed to examine differences in characteristics of suicide ideation (SI) in youth with BD compared to youth with major depressive disorder (MDD) that may be associated with increased suicide risk. METHODS: One hundred and fifty-one participants (92 MDD and 59 BD), ages 13-21, completed a diagnostic interview and clinical assessments. Lifetime symptoms of SI and SA were assessed using the Columbia Suicide Severity Rating Scale. Ordinal logistic regression models were used to investigate whether the diagnostic group predicted the severity and intensity of the most severe or most common SI with the age of onset, age, and gender as covariates. RESULTS: Compared to MDD youth, BD youth were more likely to report experiencing more severe SI, p = 0.039, experiencing the most severe SI more frequently, p = 0.002, having less control of the most severe SI, p = 0.012, and that deterrents were less likely to stop them from acting on the most severe SI, p = 0.006. CONCLUSION: This study highlights differences in the severity and intensity of SI in youth with BD and suggests that youth with BD have greater difficulty inhibiting thoughts of SI which may lead to less resistance to suicide action. Findings underscore the need for a more detailed assessment of SI in youth with BD to better understand SI as a proximal risk factor for future SA and a potential target for intervention.

Acute and chronic neuropsychiatric symptoms in novel coronavirus disease 2019 (COVID-19) patients: A qualitative review.

The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared a global pandemic by the World Health Organization (WHO) on March 11th, 2020. It has had unprecedented adverse effects on healthcare systems, economies, and societies globally. SARS-CoV-2 is not only a threat to physical health but has also been shown to have a severe impact on neuropsychiatric health. Many studies and case reports across countries have demonstrated insomnia, depressed mood, anxiety, post-traumatic stress disorder (PTSD), and cognitive change in COVID-19 patients during the acute phase of the infection, as well as in apparently recovered COVID-19 patients. The goal of this narrative review is to synthesize and summarize the emerging literature detailing the neuropsychiatric manifestations of COVID-19 with special emphasis on the long-term implications of COVID-19.