A review and preview of developments in the measurement of sociability

Associations between ADHD traits and self-reported strengths in the general population

BACKGROUND

ADHD research has had a clear focus on symptoms, their negative consequences and the treatment of ADHD. However, previous qualitative research found that people with a diagnosis of ADHD also self-report to experience strengths related to their ADHD. This is one of the first quantitative studies to investigate multiple self-reported strengths in relation to ADHD traits in a general population sample. Therefore, our aim was to investigate the relationship between multiple self-reported strengths with ADHD traits in the general population using quantitative measures.

METHODS

Our sample consisted of individuals from the general population in the UK, aged 18-60, n = 694. Next to assessing ADHD traits, we collected data on ten instruments investigating strengths that in qualitative research were reported to be related to ADHD. Correlation analysis (primary) was supplemented by factor and network analyses (exploratory).

RESULTS

We found positive correlations between ADHD traits and hyperfocus, sensory processing sensitivity, and cognitive flexibility.

CONCLUSIONS

People with more ADHD traits score higher on several strengths, for other strengths we were not able to show a positive correlation in this population-bases sample. Information on strengths may aid people with elevated ADHD traits cope with their condition, and has potential to provide new angles for treatment.

Morphine exposure during adolescence induces enduring social changes dependent on adolescent stage of exposure, sex, and social test

Drug exposure during adolescence, when the 'reward' circuitry of the brain is developing, can permanently impact reward-related behavior. Epidemiological studies show that opioid treatment during adolescence, such as pain management for a dental procedure or surgery, increases the incidence of psychiatric illness including substance use disorders. Moreover, the opioid epidemic currently in the United States is affecting younger individuals raising the impetus to understand the pathogenesis of the negative effects of opioids. One reward-related behavior that develops during adolescence is social behavior. We previously demonstrated that social development occurs in rats during sex-specific adolescent periods: early to mid-adolescence in males (postnatal day (P)30-40) and pre-early adolescence in females (P20-30). We thus hypothesized that morphine exposure during the female critical period would result in adult sociability deficits in females, but not males, and morphine administered during the male critical period would result in adult sociability deficits in males, but not females. We found that morphine exposure during the female critical period primarily resulted in deficits in sociability in females, while morphine exposure during the male critical period primarily resulted in deficits in sociability primarily in males. However, depending on the test performed and the social parameter measured, social alterations could be found in both sexes that received morphine exposure at either adolescent stage. These data indicate that when drug exposure occurs during adolescence, and how the endpoint data are measured, will play a large role in determining the effects of drug exposures on social development.

Self-Assessed Personality Traits and Adherence to the COVID-19 Lockdown

Introduction: The COVID-19 pandemic, caused by the SARS-CoV-2 coronavirus, has forced all countries affected by it to introduce quarantine and isolation to prevent the spread of the virus, as well as masking and distancing. Not everyone is equally willing to follow the rules related to limit the extent of the coronavirus epidemic. This might be connected with personality traits, especially openness, positive attitude, and optimism. Materials and Methods: An online survey was created and completed by participants in April-May 2020. Self-assessment of personality traits and adherence to lockdown recommendations were assessed. A total of 7404 participants took part in the study, mainly from Poland (83.6%) and Italy (12.7%). Univariate and multivariate regression analysis was performed. Results: The participants were divided into groups depending on the degree of compliance with the lockdown rules. In the multivariate analysis, variables that increased the odds for stricter lockdown compliance were temporary work suspension OR 1.27 (95% CI 1.10-1.48), income level "we can't handle this situation" OR 1.67 (95%CI 1.20-2.33), and junior high school education OR 1.68 (95% CI 1.13-2.50). Other significant factors included age and place of residence. Each point of self-assessed sociability OR 1.07 (95% CI 1.00-1.13) also increased the likelihood of adhering to lockdown rules. Conclusions: Taking the basic demographic characteristics as well as working and health environment conditions traits into account may be helpful when forecasting epidemiological compliance during a pandemic, as well as in other public health tasks. The key role of self-assessed personality traits was not confirmed in this study. Reliability of the results is limited by significant disproportions in the size of the study groups.

Social-Ecological Measurement of Daily Life: How Relationally Focused Ambulatory Assessment can Advance Clinical Intervention Science

Individuals’ daily behaviors and social interactions play a central role in the diagnosis and treatment of psychological disorders. Despite this, observational ambulatory assessment methods—research methods that allow for direct and passive assessment of individuals’ momentary activities and interactions—have a remarkably scant history in the clinical science field. Prior discussions of ambulatory assessment methods in clinical science have focused on subjective methods (e.g., ecological momentary assessment) and physiological methods (e.g., wearable heart rate monitoring). Comparatively less attention has been dedicated to ambulatory assessment methods that collect objective, relational data about individuals’ social behaviors and their interactions with their momentary environmental contexts. Drawing on extant social-ecological measurement frameworks, this article first provides a conceptual and psychometric rationale for the integration of daily relational data into clinical science research. Next, the nascent research applying such methods to clinical science is reviewed, and priorities for further research organized by the NIH Stage Model for Clinical Science Research are recommended. These data can provide unique information about the social contexts of diverse patient populations; identify social-ecological targets for transdiagnostic, precision, and culturally responsive interventions; and contribute novel data about the effectiveness of established interventions at creating behavioral and relational change.