Purpose: The purpose of this article is to report the results of behavioral assessments collected at three time points of a cohort of children adopted from the former Soviet Union with particular emphasis on the impact of the adoptive family on problem behaviors.
Problem: Families adopting from the former USSR are concerned about the influence of pre-adoptive circumstances on their child's future health.
Methods: The study utilized data gathered in 1998 when the children's mean age was close to 8 years, in 2001 when the children were entering early adolescence, and in 2006 when the average age of the children was just over 15 years. The authors hypothesized that the negative impact of risk factors decreases over time, and that a family environment that is stable and supportive is inversely related to problem behaviors. The Child Behavior Checklist, the Family Environment Scale, and a parental report form were used for data collection.
Findings: Significant relationships between family environment and problem behaviors over time were found, with lower levels of conflict and higher levels of cohesion associated to lower problem behaviors. Being female does contribute to problem behavior with the passage of time.
Conclusion: Although the magnitude of these effects was small to moderate, a protective family environment may assist in decreasing problem behaviors.
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http://dx.doi.org/10.1111/jcap.12098 | DOI Listing |
Microbes of nearly every species can form biofilms, communities of cells bound together by a self-produced matrix. It is not understood how variation at the cellular level impacts putatively beneficial, colony-level behaviors, such as cell-to-cell signaling. Here we investigate this problem with an agent-based computational model of metabolically driven electrochemical signaling in Bacillus subtilis biofilms.
View Article and Find Full Text PDFAging Ment Health
January 2025
Italian Home for Children, Boston, MA, USA.
Objectives: The aims of this study were to 1) categorize and quantify the most frequent concerns of informal caregivers, 2) conduct a thematic analysis on a sample of the posts, and 3) examine a subset of 100 post responses to determine if they are supportive and evidence- based.
Method: For Aims 1 and 2, we used a qualitative descriptive design using content analysis. To address Aim 3, we used a Delphi method in a subset sample of responses to posts to determine if they were supportive or not and evidence-based or not.
Rural Remote Health
January 2025
Survey Research Center, The Pennsylvania State University, University Park, PA 16802, USA.
Introduction: Little is known about the differences between rural and urban gamblers and potential vulnerabilities that may be unique to either population. This exploratory study aimed to evaluate differences between rural and urban Pennsylvanians' gambling behaviors and beliefs.
Methods: A dual-frame random digit dial survey was conducted in the US state of Pennsylvania.
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 PDFJMIR 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.
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