The aim of this mental health promotion initiative was to evaluate the effectiveness of a universally delivered group behavioral family intervention (BFI) in preventing behavior problems in children. This study investigates the transferability of an efficacious clinical program to a universal prevention intervention delivered through child and community health services targeting parents of preschoolers within a metropolitan health region. A quasi-experimental two-group (BFI, n = 804 vs. Comparison group, n = 806) longitudinal design followed preschool aged children and their parents over a 2-year period. BFI was associated with significant reductions in parent- reported levels of dysfunctional parenting and parent-reported levels of child behavior problems. Effect sizes on child behavior problems ranged from large (.83) to moderate (.47). Positive and significant effects were also observed in parent mental health, marital adjustment, and levels of child rearing conflict. Findings are discussed with respect to their implication for significant population reductions in child behavior problems as well as the pragmatic challenges for prevention science in encouraging both the evaluation and uptake of preventive initiatives in real world settings.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11121-005-0013-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Analysis of goal, feedback and rewards on sustained attention via machine learning.
Front Behav Neurosci
December 2024
Department of Mathematics, University of Texas at Arlington, Arlington, TX, United States.
Introduction: Sustaining attention is a notoriously difficult task as shown in a recent experiment where reaction times (RTs) and pupillometry data were recorded from 350 subjects in a 30-min vigilance task. Subjects were also presented with different types of goal, feedback, and reward.
Methods: In this study, we revisit this experimental data and solve three families of machine learning problems: (i) RT-regression problems, to predict subjects' RTs using all available data, (ii) RT-classification problems, to classify responses more broadly as attentive, semi-attentive, and inattentive, and (iii) to predict the subjects' experimental conditions from physiological data.
Socioeconomic status and internet addiction: double-mediated moderation.
BMC Public Health
January 2025
School of Psychology, Guizhou Normal University, Guiyang, China.
Background: Internet addiction is typically linked with a variety of psychological and behavioral problems, the prevalence of Internet addiction among Chinese college students was higher than that of the general population.
Objective: The present study aimed to test the mediating and moderating effects of socioeconomic status (SES), loneliness, alienation and grade on Internet addiction among Chinese college students.
Methods: Total of 496 college students were studied, partial least square structural equation modeling (PLS-SEM) was conducted to analyze the obtained data.
Purpose: Our goals were to: 1) examine the occurrence of behavioral and emotional symptoms in children on the autism spectrum in a large national sample, stratifying by sex, and 2) evaluate whether children with increased autism-related social communication deficits also experience more behavioral and emotional problems.
Methods: Participants (n = 7,998) were from 37 cohorts from the Environmental influences on Child Health Outcomes (ECHO) Program. Cross-sectional information on demographic factors, parent-report of an ASD diagnosis by clinician, Social Responsiveness Scale (SRS) scores, and Child Behavior Checklist (CBCL) scores were obtained for children aged 2.
Psychosocial factors behind addiction-a six-wave longitudinal comparison of at-risk gambling and drinking.
Alcohol Alcohol
November 2024
Faculty of Social Sciences, Tampere University, Kalevantie 4, Tampere 33014, Finland.
Aims: Research indicates that shared and specific underlying factors influence different addictions, sometimes resulting in co-occurring problems. The evidence concerning risk and protective factors for gambling and alcohol addiction, along with their co-occurrence, remains ambiguous. To address this gap, this study will conduct longitudinal research to examine the factors associated with at-risk behaviours over time.
View Article and Find Full Text PDFThe PDC30 Chatbot-Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study.
JMIR Aging
January 2025
Department of Computing, Faculty of Computer and Mathematical Sciences, Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.
Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!