On the Importance of Considering Concurrent Effects in Random-Intercept Cross-Lagged Panel Modelling: Example Analysis of Bullying and Internalising Problems.

Random-intercept cross-lagged panel models (RI-CLPMs) are increasingly used to investigate research questions focusing on how one variable at one time point affects another variable at the subsequent time point. Due to the implied temporal sequence of events in such research designs, interpretations of RI-CLPMs primarily focus on longitudinal cross-lagged paths while disregarding concurrent associations and modeling these only as residual covariances. However, this may cause biased cross-lagged effects.

Dynamics of postnatal depressive symptoms in early parenthood.

Background: New mothers and fathers are at risk of developing postnatal depressive problems. To understand how postnatal depressive symptoms unfold over time, analyses at the within-person level are necessary. Inspecting postnatal depressive problems at the symptom level provides a novel perspective, ultimately offering insight into which symptoms contribute to the elevation of other symptoms over time.

Statistical learning ability at 17 months relates to early reading skills via oral language.

Statistical learning ability has been found to relate to children's reading skills. Yet, statistical learning is also known to be vital for developing oral language skills, and oral language and reading skills relate strongly. These connections raise the question of whether statistical learning ability affects reading via oral language or directly.

Late adolescent outcomes of different developmental trajectories of ADHD symptoms in a large longitudinal study.

There exists substantial heterogeneity in the developmental trajectories of ADHD symptoms, with distinctions often made between persistent versus remittent, and early- versus late-onset. However, how these trajectories relate to late adolescent functioning and whether, in particular, later onset trajectories mark a milder subtype remains unclear. Building on earlier work that has examined early life predictors of ADHD symptom trajectories up to age 14, we applied latent class growth analysis to data from the UK Millennium Cohort Study (N = 10,262) to evaluate whether developmental trajectories of ADHD symptoms up to age 17 (from age 3) were similar to those identified up to age 14 and associated with differing levels of impairment in peer victimisation, mental health, substance use, and delinquency outcomes at age 17.

The role of self-referential and social processing in the relationship between pubertal status and difficulties in mental health and emotion regulation in adolescent girls in the UK.

Adolescence is marked by the onset of puberty, which is associated with an increase in mental health difficulties, particularly in girls. Social and self-referential processes also develop during this period: adolescents become more aware of others' perspectives, and judgements about themselves become less favourable. In the current study, data from 119 girls (from London, UK) aged 9-16 years were collected at two-time points (between 2019 and 2021) to investigate the relationship between puberty and difficulties in mental health and emotion regulation, as well as the role of self-referential and social processing in this relationship.

Investigating Moderation Effects at the Within-Person Level Using Intensive Longitudinal Data: A Two-Level Dynamic Structural Equation Modelling Approach in Mplus.

Recent technological advances have provided new opportunities for the collection of intensive longitudinal data. Using methods such as dynamic structural equation modeling, these data can provide new insights into moment-to-moment dynamics of psychological and behavioral processes. In intensive longitudinal data ( > 20), researchers often have theories that imply that factors that change from moment to moment within individuals act as moderators.

Testing for and Moderation using Random Intercept Cross-Lagged Panel Models.

Random-Intercept Cross-Lagged Panel Models allow for the decomposition of measurements into between- and within-person components and have hence become popular for testing developmental hypotheses. Here, we describe how developmental researchers can implement, test and interpret interaction effects in such models using an empirical example from developmental psychopathology research. We illustrate the analysis of and interactions utilising data from the United Kingdom-based Millennium Cohort Study within a Bayesian Structural Equation Modelling framework.

Examining Maternal Cardiometabolic Markers in Pregnancy on Child Emotional and Behavior Trajectories: Using Growth Curve Models on a Cohort Study.

Background: Poor maternal cardiometabolic health in pregnancy is associated with negative effects on child health outcomes, but there is limited literature on child and adolescent socioemotional outcomes. The study aimed to investigate associations between maternal cardiometabolic markers during pregnancy with child and adolescent socioemotional trajectories.

Methods: Growth curve models were run to examine how maternal cardiometabolic markers in pregnancy affected child socioemotional trajectories from ages 4 to 16.

Illuminating the daily life experiences of adolescents with and without ADHD: protocol for an ecological momentary assessment study.

Introduction: Adolescents with attention-deficit/hyperactivity disorder (ADHD) are at elevated risk of a range of difficulties, among which emotion regulation, peer and co-occurring mental health problems are prominent challenges. To better support adolescents with ADHD, ecologically valid interventions that can be embedded in daily life to target the most proximal antecedents of these challenges are needed. Ecological momentary assessment (EMA) designs are ideally suited to meeting this need.

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study.

Background: Ecological momentary assessment (EMA) is widely used in health research to capture individuals' experiences in the flow of daily life. The majority of EMA studies, however, rely on nonprobability sampling approaches, leaving open the possibility of nonrandom participation concerning the individual characteristics of interest in EMA research. Knowledge of the factors that predict participation in EMA research is required to evaluate this possibility and can also inform optimal recruitment strategies.

Respondent characteristics associated with adherence in a general population ecological momentary assessment study.

Objectives: Ecological momentary assessment (EMA) has seen an explosion in popularity in recent years; however, an improved understanding of how to minimise (selective) non-adherence is needed.

Methods: We examined a range of respondent characteristics predictors of adherence (defined as the number of EMA surveys completed) in the D2M EMA study. Participants were a sample of n = 255 individuals drawn from the longitudinal z-proso cohort who completed up to 4 EMA surveys per day for a period of 2 weeks.

Maternal metabolic syndrome in pregnancy and child development at age 5: exploring mediating mechanisms using cord blood markers.

Background: There is limited evidence on how the classification of maternal metabolic syndrome during pregnancy affects children's developmental outcomes and the possible mediators of this association. This study uses a cohort sample of 12,644 to 13,832 mother-child pairs from the UK Born in Bradford Study to examine the associations between maternal metabolic syndrome classification (MetS) and child development outcomes at age 5, using cord blood markers as candidate mediators.

Methods: Maternal cardiometabolic markers included diabetes, obesity, triglycerides, high-density lipoprotein cholesterol, blood pressure, hypertension, and fasting glucose during pregnancy.

Exploring the effect of ADHD traits on the moment-to-moment interplay between provocation and aggression: Evidence from dynamic structural equation modeling.

The relation between attention deficit hyperactivity disorder (ADHD) symptoms and aggression is well documented; however, the processes that account for higher levels of aggression associated with ADHD in the course of daily life are little understood. The current study used ecological momentary assessment to explore how ADHD traits relate to individual differences in perceiving provocation from others and the resultant aggressive behaviors; and the strengths of the links between provocation and aggression in the flow of daily life. A dynamic structural equation model was fit using data from a subpopulation of young adults involved in the longitudinal z-proso study (n = 259, median-age 20).

Psychometric evaluation of an adapted version of the perceived stress scale for ecological momentary assessment research.

Ecological momentary assessment (EMA) methodologies are commonly used to illuminate the predictors and impacts of experiencing subjective stress in the course of daily life. The validity of inferences from this research is contingent on the availability of measures of perceived momentary stress that can provide valid and reliable momentary stress scores. However, studies of the development and validation of such measures have been lacking.

Social expectations as a possible mechanism for adult personality change: Limited empirical evidence for the social investment principle.

Objective: Personality traits change in both mean levels and variance across the life span but the mechanisms underlying these developmental trends remain unclear. Social Investment Principle (SIP) suggests that social expectations drive personality changes in adulthood. Accordingly, we tested whether differences between personality traits in social expectations for them can explain their different change trajectories in young adulthood.

The relationship between perceived income inequality, adverse mental health and interpersonal difficulties in UK adolescents.

Background: Adolescence is a period of life when young people increasingly define themselves through peer comparison and are vulnerable to developing mental health problems. In the current study, we investigated whether the subjective experience of economic disadvantage among friends is associated with social difficulties and poorer mental health in early adolescence.

Methods: We used latent change score modelling (LCSM) on data from the UK Millennium Cohort Study, collected at ages 11 and 14 (N = 12,995).

Prompt-level predictors of compliance in an ecological momentary assessment study of young adults' mental health.

Background: Ecological momentary assessment (EMA) has become a popular method of gathering information about participants as they go about their daily lives. However, participant non-compliance, especially non-random compliance, in EMA is a concern. Better knowledge of the moment-to-moment factors that predict prompt non-response can inform the design of strategies to mitigate it.

Longitudinal Invariance of the Strengths and Difficulties Questionnaire Across Ages 4 to 16 in the ALSPAC Sample.

The Strengths and Difficulties Questionnaire (SDQ) has been widely used to study children's psychosocial development longitudinally; however, such analyses assume longitudinal measurement invariance, that is, they presuppose that symptom manifestations are measured comparably across different ages. Violations of this assumption could bias longitudinal analyses and should therefore be empirically tested. This study tested longitudinal measurement invariance within a confirmatory factor analysis framework in the U.

Investigating general and specific psychopathology factors with nuance-level personality traits.

Mental health disorders share substantial variance, prompting researchers to develop structural models that can capture both generalised psychopathology risk and disorder/symptom-specific variation. This study investigated the associations of the general and specific psychopathology factors with multiple personality trait hierarchy levels: broad domains, their facets and nuances (N = 1839 Estonian adults). A bi-factor model with a general 'p' factor and specific factors for internalising problems, thought disorders and substance use best represented psychopathology structure.