人格特征在中学生社会支持与心理韧性中的中介作用

目的考察中学生人格特征在社会支持与心理韧性之间的中介效应。方法采用艾森克人格问卷中文修订版(儿童版)、社会支持评定量表和青少年心理韧性量表对324名中学生进行集体施测。结果人格特征的内外向因子与主观支持、支持的利用度、社会支持总分、心理韧性总分呈显著正相关(r=0.251~0.467,P0.01),而神经质、精神质因子与主观支持、支持的利用度及社会支持总分呈显著负相关(r=-0.118~-0.262,P0.05或0.01),与心理韧性总分则相关不显著;内外向、客观支持、支持的利用度对心理韧性具有显著的预测作用(P0.01或0.001)。回归分析发现,内外向在社会支持与心理韧性间起部分中介效应(c'=0.261,P0.001)。结论社会支持以内外向为中介,对中学生的心理韧性具有预测作用。     

民族贫困地区初中生社会支持与心理健康

目的探讨民族贫困地区初中生社会支持与心理健康水平的关系,旨在为制定相应的干预措施提供科学依据。方法采用社会支持评定量表(SSRS)和中学生心理健康诊断量表(MHT)对民族贫困地区初一、初二年级学生进行集体施测,共获有效问卷336份。结果民族贫困地区中学生严重心理问题的检出率为33.63%,一般心理问题的检出率为55.36%;中学生社会支持总分与心理健康总分呈显著负相关(r=-0.199,P0.001);高社会支持组与低社会支持组在对人焦虑、孤独倾向、身体症状、恐怖倾向、冲动倾向以及MHT总分上差异有统计学意义(P0.001);多因素回归分析显示,影响该地区中学生高焦虑的相关因素有性别(OR=0.508;P0.005)、支持总分(OR=0.803;P0.001)、客观支持(OR=1.278;P0.001)和主观支持(OR=1.212;P0.022)。结论高社会支持的学生心理健康状况良好,增加社会支持可有效改善该地区学生的心理健康水平。     

Online and Social Networking Interventions for the Treatment of Depression in Young People: A Systematic Review

Background

Major depression accounts for the greatest burden of all diseases globally. The peak onset of depression occurs between adolescence and young adulthood, and for many individuals, depression displays a relapse-remitting and increasingly severe course. Given this, the development of cost-effective, acceptable, and population-focused interventions for depression is critical. A number of online interventions (both prevention and acute phase) have been tested in young people with promising results. As these interventions differ in content, clinician input, and modality, it is important to identify key features (or unhelpful functions) associated with treatment outcomes.

Objective

A systematic review of the research literature was undertaken. The review was designed to focus on two aspects of online intervention: (1) standard approaches evaluating online intervention content in randomized controlled designs (Section 1), and (2) second-generation online interventions and services using social networking (eg, social networking sites and online support groups) in any type of research design (Section 2).

Methods

Two specific literature searches were undertaken. There was no date range specified. The Section 1 search, which focused on randomized controlled trials, included only young people (12-25 years) and yielded 101 study abstracts, of which 15 met the review inclusion criteria. The Section 2 search, which included all study design types and was not restricted in terms of age, yielded 358 abstracts, of which 22 studies met the inclusion criteria. Information about the studies and their findings were extracted and tabulated for review.

Results

The 15 studies identified in Section 1 described 10 trials testing eight different online interventions, all of which were based on a cognitive behavioral framework. All but one of the eight identified studies reported positive results; however, only five of the 15 studies used blinded interviewer administered outcomes with most trials using self-report data. Studies varied significantly in presentation of intervention content, treatment dose, and dropout. Only two studies included moderator or clinician input. Results for Section 2 were less consistent. None of the Section 2 studies reported controlled or randomized designs. With the exception of four studies, all included participants were younger than 25 years of age. Eight of the 16 social networking studies reported positive results for depression-related outcomes. The remaining studies were either mixed or negative. Findings for online support groups tended to be more positive; however, noteworthy risks were identified.

Conclusions

Online interventions with a broad cognitive behavioral focus appear to be promising in reducing depression symptomology in young people. Further research is required into the effectiveness of online interventions delivering cognitive behavioral subcomponents, such as problem-solving therapy. Evidence for the use of social networking is less compelling, although limited by a lack of well-designed studies and social networking interventions. A range of future social networking therapeutic opportunities are highlighted.     

Diabetes Patients' Experiences With the Implementation of Insulin Therapy and Their Perceptions of Computer-Assisted Self-Management Systems for Insulin Therapy

Background

Computer-assisted decision support is an emerging modality to assist patients with type 2 diabetes mellitus (T2DM) in insulin self-titration (ie, self-adjusting insulin dose according to daily blood glucose levels). Computer-assisted insulin self-titration systems mainly focus on helping patients overcome barriers related to the cognitive components of insulin titration. Yet other (eg, psychological or physical) barriers could still impede effective use of such systems.

Objective

Our primary aim was to identify experiences with and barriers to self-monitoring of blood glucose, insulin injection, and insulin titration among patients with T2DM. Our research team developed a computer-assisted insulin self-titration system, called PANDIT. The secondary aim of this study was to evaluate patients’ perceptions of computer-assisted insulin self-titration. We included patients who used PANDIT in a 4-week pilot study as well as patients who had never used such a system.

Methods

In-depth, semi-structured interviews were conducted individually with patients on insulin therapy who were randomly recruited from a university hospital and surrounding general practices in the Netherlands. The interviews were transcribed verbatim and analyzed qualitatively. To classify the textual remarks, we created a codebook during the analysis, in a bottom-up and iterative fashion. To support examination of the final coded data, we used three theories from the field of health psychology and the integrated model of user satisfaction and technology acceptance by Wixom and Todd.

Results

When starting insulin therapy, some patients feared a lifelong commitment to insulin therapy and disease progression. Also, many barriers arose when implementing insulin therapy (eg, some patients were embarrassed to inject insulin in public). Furthermore, patients had difficulties increasing the insulin dose because they fear hypoglycemia, they associate higher insulin doses with disease progression, and some were ignorant of treatment targets. Patients who never used a computer-assisted insulin self-titration system felt they had enough knowledge to know when their insulin should be adjusted, but still believed that the system advice would be useful to confirm their reasoning. Furthermore, the time and effort saved with automated insulin advice was considered an advantage. Patients who had used PANDIT found the system useful if their glycemic regulation improved. Nevertheless, for some patients, the absence of personal contact with their caregiver was a drawback. While guidelines state that adjustment of basal insulin dose based on fasting plasma glucose values is sufficient, both patients who had and those who had not used PANDIT felt that such a system should take more patient data into consideration, such as lifestyle and diet factors.

Conclusions

Patients encounter multiple obstacles when implementing insulin therapy. Computer-assisted insulin self-titration can increase patient awareness of treatment targets and increase their confidence in self-adjusting the insulin dose. Nevertheless, some barriers may still exist when using computer-assisted titration systems and these systems could also introduce new barriers.     

Intelligent mobile support for therapy adherence and behavior change

Mobile applications have proven to be promising tools for supporting people in adhering to their health goals. Although coaching and reminder apps abound, few of them are based on established theories of behavior change. In the present work, a behavior change support system is presented that uses a computational model based on multiple psychological theories of behavior change. The system determines the user’s reason for non-adherence using a mobile phone app and an online lifestyle diary. The user automatically receives generated messages with persuasive, tailored content. The system was designed to support chronic patients with type 2 diabetes, HIV, and cardiovascular disease, but can be applied to many health and lifestyle domains. The main focus of this work is the development of the model and the underlying reasoning method. Furthermore, the implementation of the system and some preliminary results of its functioning will be discussed.     

Assessment of the alveolar bone support of patients with unilateral cleft lip and palate: A cone-beam computed tomography study

Objective:To assess the bone support of the teeth adjacent to a cleft using cone-beam computed tomography (CBCT).Materials and Methods:The CBCT scans of 31 patients with unilateral cleft lip and palate (UCLP) were assessed. The data for teeth neighboring the cleft were compared with those of contralateral noncleft teeth. For each tooth analyzed, the distance between the cementoenamel junction (CEJ) and the bone crest (AC) at the buccal side was measured as was the thickness of the buccal bone level at 0, 1, 2, and 4 mm.Results:The bone thicknesses of the central teeth at the cleft region at the crest and 2 mm apically were statistically significantly thinner than that of the central incisor at a noncleft region. The CEJ-AC distance for central teeth at the cleft region was higher than that for central teeth in a noncleft region.Conclusions:Subjects with UCLP showed reduced bone support at teeth neighboring the cleft compared with controls. This may cause some problems during orthodontic treatment.     

Effectiveness of web-based versus folder support interventions for young informal carers of persons with mental illness: A randomized controlled trial

Objective

Compare the impact of two interventions, a web-based support and a folder support, for young persons who care for people who suffer from mental illness.

Methods

This study was a randomized control trial, following the CONSORT statements, which compared the impact of two interventions. Primary outcome variable was stress, and secondary outcome variables were caring situation, general self-efficacy, well-being, health, and quality of life of young informal carers (N = 241). Data were collected in June 2010 to April 2011, with self-assessment questionnaires, comparing the two interventions and also to detect changes.

Results

The stress levels were high in both groups at baseline, but decreased in the folder group. The folder group had improvement in their caring situation (also different from the web group), general self-efficacy, well-being, and quality of life. The web group showed increase in well-being.

Conclusion

Young informal carers who take on the responsibility for people close to them; suffer consequences on their own health. They live in a life-situation characterized by high stress and low well-being. This signals a need for support.

Practice implications

The non-significant differences show that each intervention can be effective, and that it depends upon the individual's preferences. This highlights the importance of adopting person-centered approach, in which young persons can themselves choose support strategy.     

Timing of diagnosis of 47,XXY and 48,XXYY: A survey of parent experiences

47,XXY/Klinefelter syndrome is the most common sex chromosomal aneuploidy, yet 64% of males with this condition go undiagnosed. 48,XXYY is less common and there is less known about the diagnosis. The objective of this study is to describe the diagnosis experiences of parents of males with 47,XXY and 48,XXYY. Parents of 89 males with 47,XXY and 76 males with 48,XXYY completed a survey that gathered data about their experiences leading to a diagnosis, including the current age of the child, age at diagnosis, reasons for initial concern, and the specialists providing the diagnosis. In the 47,XXY cohort diagnosed postnatally, 59% presented with developmental delay, with a mean age at first parental concern of 5.2 years and mean age of diagnosis at 10.0 years. The remaining 41% presented with endocrinologic issues with a mean age at first concern of 19.1 years and mean age of diagnosis at 21.1 years. In the 48,XXYY group, 93% presented with developmental delay, with mean age at first parental concern of 2.4 years and mean age of diagnosis at 7.6 years. Hence, the average time from initial parental concern to diagnosis of 47,XXY or 48,XXYY ranges from 2 to 5 years, with those presenting with developmental issues having a longer lag to diagnosis compared to those presenting with endocrinologic issues. Increased awareness of the developmental, psychological, and medical features of 47,XXY and 48,XXYY is important to facilitate timely diagnosis and initiation of appropriate screenings and treatments that are important for optimal outcomes. © 2013 Wiley Periodicals, Inc.