Lifestyle interventions can prevent type 2 diabetes (T2DM). However, some individuals do not experience anticipated improvements despite weight loss. Biomarkers to identify such individuals at early stages are lacking. Insulin-like growth factor 1 (IGF- 1) and Insulin-like growth factor binding protein 1(IGFBP-1) were shown to predict T2DM onset in prediabetes. We assessed whether these markers also predict the success of lifestyle interventions, thereby possibly guiding personalized strategies. We analyzed the fasting serum levels of IGF-1, IGFBP-1, and Insulin-like growth factor binding protein 2 (IGFBP-2) in relation to changes in metabolic and anthropometric parameters, including intrahepatic lipids (IHLs) and visceral adipose tissue (VAT) volume, measured by magnetic resonance imaging (MRI), in 345 participants with a high risk for prediabetes (54% female; aged 36-80 years). Participants were enrolled in three randomized dietary intervention trials and assessed both at baseline and one year post-intervention. Statistical analyses were performed using IBM SPSS Statistics (version 28), and significance was set at p < 0.05. Within the 1-year intervention, overall significant improvements were observed. Stratifying individuals by baseline IGF-1 and IGFBP-1 percentiles revealed significant differences: higher IGF-1 levels were associated with more favorable changes compared to lower levels, especially in VAT and IHL. Lower baseline IGFBP-1 levels were associated with greater improvements, especially in IHL and 2 h glucose. Higher bioactive IGF-1 levels might predict better metabolic outcomes following lifestyle interventions in prediabetes, potentially serving as biomarkers for personalized interventions.

We address defining and identifying students with dyslexia within the context of multi-tier systems of support (MTSS). We review proposed definitions of dyslexia, evidence for proposed definitional attributes, and emphasize the role of instructional response in identifying students with dyslexia. We identify dyslexia as individuals with specific deficits in reading and spelling single words combined with inadequate response to evidence-based instruction. We propose a hybrid identification process in which assessment is utilized within school-wide MTSS allowing for integration of routinely collected progress monitoring data as well integrating with more formal diagnostic measures. This proposed \"hybrid\" method demonstrates strong evidence for valid decision-making and directly informs instruction. We close proposing a revised definition of dyslexia that incorporates these elements.

BACKGROUND: Previous study has shown that a brief cognitive-behavioral prevention insomnia program could reduce 71% risk of developing insomnia among at-risk adolescents. This study aimed to evaluate the differential response to insomnia prevention in subgroups of at-risk adolescents.
METHODS: Adolescents with a family history of insomnia and subthreshold insomnia symptoms were randomly assigned to a 4-week insomnia prevention program or nonactive control group. Assessments were conducted at baseline, 1 week, and 6- and 12-month after the intervention. Baseline sleep, daytime, and mood profiles were used to determine different subgroups by using latent class analysis (LCA). Analyses were conducted based on the intention-to-treat approach.
RESULTS: LCA identified three subgroups: (a) insomnia symptoms only, (b) insomnia symptoms with daytime sleepiness and mild anxiety, and (c) insomnia symptoms with daytime sleepiness, mild anxiety, and depression. The incidence rate of insomnia disorder over the 12-month follow-up was significantly reduced for adolescents receiving intervention in subgroup 3 compared with the controls (hazard ratio [HR] = 0.37; 95% confidence interval [CI]: 0.13-0.99; p = .049) and marginally for subgroup 2 (HR = 0.14; 95% CI: 0.02-1.08; p = .059). In addition, adolescents who received intervention in subgroups 2 and 3 had a reduced risk of excessive daytime sleepiness (subgroup 2: adjusted OR [AdjOR] = 0.45, 95% CI: 0.23-0.87; subgroup 3: AdjOR = 0.32, 95% CI: 0.13-0.76) and possible anxiety (subgroup 2: AdjOR = 0.47, 95% CI: 0.27-0.82; subgroup 3: AdjOR = 0.33, 95% CI: 0.14-0.78) compared with the controls over the 12-month follow-up.
CONCLUSIONS: Adolescents at risk for insomnia can be classified into different subgroups according to their psychological profiles, which were associated with differential responses to the insomnia prevention program. These findings indicate the need for further phenotyping and subgrouping at-risk adolescents to develop personalized insomnia prevention.

Studies on humans that exploit contemporary data-intensive, high-throughput \'omic\' assay technologies, such as genomics, transcriptomics, proteomics and metabolomics, have unequivocally revealed that humans differ greatly at the molecular level. These differences, which are compounded by each individual\'s distinct behavioral and environmental exposures, impact individual responses to health interventions such as diet and drugs. Questions about the best way to tailor health interventions to individuals based on their nuanced genomic, physiologic, behavioral, etc. profiles have motivated the current emphasis on \'precision\' medicine. This review\'s purpose is to describe how the design and execution of N-of-1 (or personalized) multivariate clinical trials can advance the field. Such trials focus on individual responses to health interventions from a whole-person perspective, leverage emerging health monitoring technologies, and can be used to address the most relevant questions in the precision medicine era. This includes how to validate biomarkers that may indicate appropriate activity of an intervention as well as how to identify likely beneficial interventions for an individual. We also argue that multivariate N-of-1 and aggregated N-of-1 trials are ideal vehicles for advancing biomedical and translational science in the precision medicine era since the insights gained from them can not only shed light on how to treat or prevent diseases generally, but also provide insight into how to provide real-time care to the very individuals who are seeking attention for their health concerns in the first place.

There is now considerable evidence regarding the types of interventions that are effective at remediating reading disabilities on average. It is generally unclear, however, what predicts the magnitude of individual-level change following a given intervention. We examine new predictors of intervention gains that are theoretically grounded in computational models of reading and focus on individual differences in the functional organization of the reading system. Specifically, we estimate the extent to which children with reading disabilities (n=118 3rd-4th graders) rely on two sources of information during an oral word reading task - print-speech correspondences and semantic imageability - before and after a phonologically-weighted intervention. We show that children who relied more on print-speech regularities and less on imageability pre-intervention had better intervention gains. In parallel, children who over the course of the intervention exhibited greater increases in their reliance on print-speech correspondences and greater decreases in their reliance on imageability had better intervention outcomes. Importantly, these two factors were differentially related to specific reading task outcomes, with greater reliance on print-speech correspondences associated with pseudoword naming, while (lesser) reliance on imageability related to word reading and comprehension. We discuss the implications of these findings for theoretical models of reading acquisition and educational practice.

Current evidence-based prevention programming targeting child externalizing problems demonstrates modest overall effect sizes and is largely ineffective for a sizable proportion of youth who participate. However, our understanding of the youth and family characteristics associated with response to specific programming is quite limited. The current study used child and family risk profiles as predictors of response trajectories to the Early Risers conduct problem preventive intervention. A sample of 240 kindergarten-aged youth displaying elevated school-based aggression were randomized by school to either the Early Risers intervention or a control condition. Using a number of child and family risk variables, a latent profile analysis produced a solution consisting of five unique risk profiles. Three low and mixed risk profiles were associated with a limited response to the intervention. One high-risk profile characterized by maladaptive parenting and elevated child externalizing demonstrated notably improved trajectories of externalizing behavior over a 3-year period relative to the control condition. Another high-risk profile characterized by inconsistent discipline, high parental distress, and elevated child internalizing and externalizing symptoms seemed to have positive developmental trends disrupted by the intervention relative to the control condition, potentially consistent with an iatrogenic effect relative to the control condition. The study results support continued efforts to use broader risk profiles to examine heterogeneity in response to preventive interventions and, with replication, will have implications for intervention tailoring.

Background: This study sought to inform research with noncollege-attending emerging adults, an at-risk, and understudied population, by identifying patterns of response following a brief alcohol intervention. This study was a reanalysis of data from a randomized controlled intervention trial testing a brief, personalized feedback alcohol intervention targeting nonstudent emerging adult drinkers. Objectives: The study aims were to (1) model intervention response by identifying subgroups characterized by changes in heavy drinking (i.e. peak use, number of binges during a typical week, proportion of binge days, peak estimated blood alcohol concentration [eBAC]) following the alcohol intervention, and (2) distinguish subgroups on factors related to intervention response (i.e. perceived norms regarding how much peers drink, alcohol use severity, mental health symptoms, and readiness to change). Methods: Participants were 81 (64.2% men) nonstudent heavy drinkers between ages 18-25 years (average age = 22.04) recruited from the community. Results: Findings revealed two latent subgroups that exhibited differential response to the intervention (i.e. intervention \"responders\" and \"nonresponders\"). Further, responders reported higher pre-intervention descriptive normative perceptions and alcohol use severity. Conclusions/Importance: The current investigation contributed to knowledge regarding for whom brief alcohol interventions work in the short term within nonstudent emerging adults and could inform future research to facilitate behavior change in those unresponsive to intervention efforts.

Families with disruptive child behavior are typically referred to services based on children\'s behavior alone, rather than on underlying mechanisms of disruptive behavior. Yet, the presence of the precise mechanisms targeted by services might be essential for intervention success. We integrated person- and variable-centered approaches to test whether families with combined disruptive child behavior and harsh/inconsistent parenting indeed benefit most from a behavioral parenting intervention in indicated prevention context, compared to families with disruptive child behavior but less harsh/inconsistent parenting, and families with less severe disruptive behavior.
Families (N = 387) of children aged 4 to 8 years (disruptive behavior >75th percentile) participated in a randomized trial of the Incredible Years parenting intervention (Trial NTR3594, www.trialregister.nl). We identified different response trajectories and tested whether families with combined child and parenting difficulties had a higher probability of responding well, compared to families with only child difficulties or less severe difficulties.
Most intervention group families (82%) showed a nonresponse trajectory. A minority (18%) showed a response trajectory with strong reductions in disruptive behavior (Cohen\'s d =1.45). As expected, families with both child and parenting difficulties were most likely to respond: 20% more than families with only child difficulties, and 40% more than families with less severe difficulties.
Incredible Years, as an indicated prevention program, benefits mainly families in which the mechanisms targeted by the intervention (ie, harsh/inconsistent parenting) is actually present, rather than all families. Careful matching of children to services based on assessments of both child and parenting behavior seems critical for intervention success.
ORCHIDS: Study on Children\'s Genetic Susceptibility to Their Environment; https://www.trialregister.nl; 3594.

This study applied latent class analysis to a family-centered prevention trial in early childhood to identify subgroups of families with differential responsiveness to the Family Check-Up (FCU) intervention. The sample included 731 families with 2-year-olds randomized to the FCU or control condition and followed through age 5 with yearly follow-up assessments. A two-step mixture model was used to examine whether specific constellations of family characteristics at age 2 (baseline) were related to intervention response across ages 3, 4, and 5. The first step empirically identified latent classes of families based on several family risk and adjustment variables selected on the basis of previous research. The second step modeled the effect of the FCU on longitudinal change in children\'s problem behavior in each of the empirically derived latent classes. Results suggested a five-class solution, where a significant intervention effect of moderate to large size was observed in one of the five classes-the class characterized by child neglect, legal problems, and parental mental health issues. Pairwise comparisons revealed that the intervention effect was significantly greater in this class of families than in two other classes that were generally less at risk for the development of child disruptive behavior problems, albeit still low-income. Thus, findings suggest that (a) the FCU is most successful in reducing child problem behavior in more highly distressed, low-income families, and (b) the FCU may have little impact for relatively low-risk, low-income families. Future directions include the development of a brief screening process that can triage low-income families into groups that should be targeted for intervention, redirected to other services, monitored prospectively, or left alone.