Symposia
ADHD - Child
Melissa R. Dvorsky, Ph.D. (she/her/hers)
Assistant Professor
Children’s National Health System
Washington, District of Columbia
Elizabeth Chan, M.A., M.S. (she/her/hers)
Postdoctoral Fellow
Kennedy Krieger Institute
Baltimore, Maryland
Qinxin Shi, PhD (she/her/hers)
Postdoctoral Fellow
Children's National Health System
Washington, District of Columbia
Amanda H. Steinberg, B.S.
Research Coordinator
Children's National Hospital
Washington, District of Columbia
Stephen P. Becker, Ph.D. (he/him/his)
Associate Professor
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio
Joshua Langberg, Ph.D.
Professor
Department of Clinical Psychology, Rutgers University
Piscataway, New Jersey
Introduction: To bridge the gap between pathology-oriented and strengths-based research, it is critical to identify risk and promotive mechanisms within individual, family, or social systems that contribute to adjustment. Self-determination theory (SDT) posits need satisfaction and frustration for relatedness, competence, and autonomy support are crucial mechanisms in optimal and nonoptimal well-being in adolescents (Ryan & Deci, 2017). However, little is understood about mechanisms of well-being among clinical populations like ADHD (Dvorsky & Langberg, 2016). This study explored distinct profiles of well-being during adolescence to better understand how some adolescents manifest positive well-being and whether this is unique for adolescents with and without ADHD.
Method: We conducted latent class analysis (LCA) of adolescent well-being and examined early predictors of well-being profiles including individual, social, and familial characteristics and whether profiles differed for adolescents with/without ADHD. Participants included 188 adolescents with (n=81) and without (n=107) ADHD (43.1% female; 81% White, 9% Multiracial, 5% Black, 5% Asian, Mage=17.5). Well-being was assessed in late adolescence (i.e., spring of 11th or 12th grade) using the six subscales of the Basic Psychological Need Satisfaction and Frustration Scale (Chen et al., 2015). Early predictors of well-being including parent-teen conflict, school engagement, social acceptance, self-worth, and depressive symptoms were assessed in the fall of 10th grade.
Results/
Discussion: LCAs identified 3 distinct profiles: high well-being (high satisfaction/low frustration; 35.1%), mixed (high satisfaction/high frustration; 44.7%), and low well-being (low satisfaction/frustration; 20.2%). Adolescents with ADHD were more likely to fall in the low satisfaction class compared the two high satisfaction classes (χ2=3.88-4.08, p< .05). Greater school engagement (χ2=7.19, p=.007), belonging (χ2=21.21, p< .001), social acceptance (χ2=14.13, p< .001), self-worth (χ2=36.58, p< .001), and lower depression (χ2=20.41, p< .001) early in adolescence was associated with the high wellbeing class. Adolescents in high well-being class also demonstrated lower parent-teen conflict (χ2=4.43, p=.03) compared to the mixed well-being class. Results have implications for refining interventions for adolescents with ADHD as well as developing universal strategies for bolstering individual, social, and structural supports for promoting well-being in adolescence.