Based on self-determination theory, this diary study examined associations between adolescents' daily need crafting and daily fluctuations in their need-based and affective experiences. We also examined the role of daily perceived autonomysupportive parenting in adolescents' daily need-crafting. Adolescents (N = 159; M age = 15.56; 62% female) filled out a diary for seven consecutive days. Multilevel path analyses indicated that need crafting varied on a day-to-day basis, with daily need crafting relating positively to daily positive affect and negatively to negative affect. The benefits of daily need crafting were accounted for by higher daily need satisfaction and lower need frustration. Further, on days adolescents perceived more parental autonomy support, they reported more need satisfaction and less need frustration, an effect that was partially due to higher need crafting that day. Overall, the results suggest that need crafting represents a critical pro-active skill, with resulting benefits for adolescents' daily need-based experiences and well-being.

Although the COVID-19 crisis is a worldwide threat to individuals’ physical health and psychological well-being, not all people are equally susceptible to increased ill-being. One potentially important factor in individuals’ vulnerability (versus resilience) to ill-being in the face of stress is emotion regulation. On the basis of Self-Determination Theory, this study examined the role of three emotion regulation styles in individuals’ mental health during the COVID-19 crisis, that is, integration, suppression, and dysregulation. Participants were 6584 adults (77% female, M age = 45.16 years) who filled out well-validated measures of emotion regulation, depression, anxiety, life satisfaction, and sleep quality. To examine naturally occurring combinations of emotion regulation strategies, hierarchical k-means clustering was performed, yielding 3 profiles: (a) low scores on all strategies (indicating rather low overall levels of worry; 27%), (b) high scores on integration only (41%), and (c) high scores on suppression and dysregulation (32%). Participants in the profiles scoring high on suppression and dysregulation displayed a less favorable pattern of outcomes (high ill-being, low life satisfaction, and poorer sleep quality) compared to the other two groups. Between-cluster differences remained significant even when taking into account the corona-related worries experienced by people. Overall, the findings underscore the important role of emotion regulation in individuals’ mental health during mentally challenging periods such as the COVID-19 crisis. Practical implications and directions for future research are discussed.

Adolescence is marked by an increased susceptibility to depressive symptoms, which has important repercussions for adolescents' personal, social, and educational development (Costello, Copeland, & Angold, 2011). Given that vulnerability to psychological difficulties is still susceptible to change in adolescence (Hauser, Allen, & Golden, 2006), it is important to gain more insight into factors that increase the risk for depressive symptoms in this developmental period. Such insight is needed to improve prevention programs and to refine etiological models of mental health problems. One influential body of research on vulnerability to psychopathology, and to depression more specifically, is grounded in Blatt's (2004; Luyten & Blatt, 2013) two-polarities model of personality development. This research has

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The multilevel autoregressive model disentangles unobserved heterogeneity from state-dependence. Statistically, the random intercept accounts for the dependence of all measurements on an observed underlying factor, while the lagged dependent predictor allows the value of the outcome to depend on the outcome at the previous time point. In this paper we consider different implementations of the simplest multilevel autoregressive model, and explore how each of them deal with the endogeneity assumption and the initial conditions problem. We discuss the performance of the no centering approach, the manifest centering approach and the latent centering approach in the setting where the number of time points is small. We find that some commonly used approaches show bias for the autoregressive parameter. When the the outcome at the first time point is considered predetermined, the no centering approach assuming endogeneity performs best.