Features of attention deficit/hyperactivity disorder and antisocial behaviour in a general population-based sample of adults.

BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is known to be a risk factor for antisocial and delinquent behaviour, but there is still a lack of information on how features of ADHD relate to offending behaviour among adults not already defined by their offending. AIMS: Our aim was to add to knowledge about relationships between ADHD and antisocial behaviour among adults in the general population by answering the following questions: (A) Does the level of self-reported ADHD features relate to criminal and non-criminal antisocial behaviour? (B) To what extent are self-ratings of ADHD features independent of socio-demographic features previously identified as predictors of antisocial behaviour? METHODS: A sample of adults was originally recruited to study public response to the COVID-19 outbreak through an online panel to be representative of the Israeli population. Among other scales, the 2025 participants completed an ADHD self-report scale, an antisocial behaviour self-report scale and a socio-demographic questionnaire probing for age, gender, urbanity, place of birth, socioeconomic status (education and income), family status (being in a relationship and having children) and religiosity. RESULTS: Higher mean totals for the inattention and hyperactivity ADHD scale scores were associated with higher mean antisocial behaviour scores. These relationships were only slightly affected by socio-demographic variables, including sex, age, education and income. CONCLUSION: Our findings suggest that not only may features of ADHD, even below a diagnostic threshold, constitute a risk factor for antisocial behaviour, but also that the self-rated levels of these problems covary. These findings are important for informing the early detection of risk of antisocial behaviour in the general population and its prevention.

Symptoms of ADHD Predict Lower Adaptation to the COVID-19 Outbreak: Financial Decline, Low Adherence to Preventive Measures, Psychological Distress, and Illness-Related Negative Perceptions.

OBJECTIVE: The COVID-19 outbreak created numerous multidimensional stressors, to which people show different levels of vulnerability. The current paper examines whether symptoms of ADHD are associated with poorer adaptation. METHOD: After the first quarantine in Israel, 2,055 adults participated in an online survey. Participants completed scales probing adaptation indicators: financial status, adherence to preventive measures, mental health, and COVID-19 related perceptions. Background measures, including the level of symptoms of ADHD, were collected. RESULTS: Adaptation indicators negatively correlated with the level of symptoms of ADHD. Financial decline explained a small portion of the link between ADHD and decreased mental health. Background risk-taking, anti-social, and pro-social behavior partially explained the link between ADHD and non-adherence to preventive measures. COVID-19 related perceptions also partially explained that link. CONCLUSION: This study suggests that people with ADHD are more vulnerable to the challenges created by the COVID-19 pandemic and therefore deserve special attention and care.

Background and concurrent factors predicting non-adherence to public health preventive measures during the chronic phase of the COVID-19 pandemic.

BACKGROUND: To determine factors that predict non-adherence to preventive measures for COVID-19 during the chronic phase of the pandemic. METHODS: A cross-sectional, general population survey was conducted in Israel. Sociodemographic, health-related, behavioral and COVID-19-related characteristics were collected. RESULTS: Among 2055 participants, non-adherence was associated with male gender, young age, bachelorhood, being employed, lower decrease in income, low physical activity, psychological distress, ADHD symptoms, past risk-taking and anti-social behavior, low pro-sociality, perceived social norms favoring non-adherence, low perceived risk of COVID-19, low perceived efficacy of the preventive measures, and high perceived costs of adherence to the preventive measures. CONCLUSION: There appears to be a need for setting out and communicating preventive measures to specifically targeted at-risk populations.