METHODS: A systematic process was followed in formulating the therapy and devising a treatment manual consistent with the principles of the Adaptation and Development After Persecution and Trauma (ADAPT) model. The process of development and refinement was based on qualitative research amongst 70 refugees (ten from West Papua and 60 Rohingya from Myanmar). The therapeutic process was then piloted by trained interventionists amongst a purposively selected sample of 20 Rohingya refugees in Malaysia.
RESULTS: The final formulation of IAT represented an integration of the principles of the ADAPT model and evidence-based techniques of modern therapies in the field, including a transdiagnostic approach and the selective use of cognitive behavioural treatment elements such as problem-solving and emotional regulation techniques. The steps outlined in refining the manual are outlined in relation to work amongst West Papuan refugees, and the process of cultural and contextual modifications described during early piloting with Rohingya refugees in Malaysia.
CONCLUSIONS: IAT integrates universal principles of the ADAPT model with the particularities of the culture, history of conflict and living context of each refugee community; this synthesis of knowledge forms the basis for participants gaining insights into their personal patterns of psychosocial adaptation to the refugee experience. Participants then apply evidence-based techniques to improve their capacity to adapt to the serial psychosocial changes they have encountered in their lives as refugees. The overarching goal of IAT is to provide refugees with a coherent framework that assists in making sense of their experiences and their emotional and interpersonal reactions to the challenges they confront within the family and community context. As such, the principles of a general model (ADAPT) are used as a springboard for making concrete, manageable and meaningful life changes at the individual level, a potentially novel approach for psychosocial interventions in the field.
METHODS: A total of 28 PWE were randomly assigned to either intervention (n = 14 cases) or control group (n = 14 controls). The intervention group received a six 2.5-hour weekly MBI, while the control group did not receive any intervention. They were assessed at three timepoints (T0: before intervention, T1: immediately after intervention, and T2: 6 weeks after intervention). Repeated measures of analyses of variance (RM-ANOVAs) were used for inter-group comparisons to determine intervention effect from baseline -to T1 and -to T2 for all outcome measures. The individual changes were calculated using the reliable change index (RCI). Key outcomes included depression (BDI-II), anxiety (BAI), epilepsy-related quality of life (QOLIE-31), satisfaction with life (SWLS), and level of mindfulness (MAAS).
RESULTS: Participants who participated in the MBI showed significant reduction in BDI-II (p = 0.001), significant increases in MAAS (p = 0.027) and QOLIE-31 (p = 0.001) at T1 when compared with the control group. However, BAI and SWLS were not significant. The trend was similar at 6-week follow-up, all outcome measures of MBI remained significant (p
MATERIALS AND METHODS: A sample of 420 undergraduate dental students enrolled for academic year 2017/2018 at the Jordan University of Science and Technology participated in this study. They were given a set of self-administered questionnaires which consisted of questions regarding demographic information, characteristics of smartphone use, assessment of smartphone addiction, sleep quality as well as perceived stress.
RESULTS: The mean Smartphone Addiction Scale (SAS) score amongst Jordanian dental students was high (109.9 ± 23.8). The correlation between SAS and Global Pittsburg Sleep Quality Index (PSQI) score was significant (r = 0.137, P =0.005) indicating that the higher the smartphone addiction level, the poorer the quality of sleep. Similarly, a significant correlation was found between Perceived Stress Scale-10 (PSS-10) score and Global PSQI score (r = 0.348, P stress experienced poorer sleep quality. Year 3 students (clinical year), smartphone addiction and perceived stress were determinants of sleep quality.
CONCLUSIONS: Dental students who have high levels of smartphone addiction or high perceived stress levels experienced poor sleep quality. Identifying smartphone addicts amongst students as well as stressors are imperative measures to allow timely assistance and support in the form of educational campaigns, counselling, psychotherapy and stress management.
METHOD: This is a cross-sectional study of schoolchildren aged 9-15 years based in Kuala Langat, a rural district located in the south-west of the Malaysian state of Selangor. Schoolchildren were selected randomly and given questionnaires to fill in. This was followed by interview with the children on the same day by one of the authors (CCMB) to ensure consistency of response. Recurrent abdominal pain was defined as 'at least three episodes of abdominal pain, severe enough to affect their activities over a period longer than three months' [1]. The children were also asked to answer either 'yes' or 'no' to whether they had experienced various life events in the previous year.
RESULTS: A sample of 1462 schoolchildren (722 boys and 740 girls) aged between 9 and 15 years were included in the study. There were 768 Malays, 393 Chinese and 301 Indians. Of these 1462 children, 161 (11.0%) had recurrent abdominal pain. On performing multiple logistic regression analysis, two life events were significantly associated with recurrent abdominal pain: death of a family member (P = 0.008; odds ratio 0.61, 95% CI 0.43-0.88) and a change in occupation of an immediate family member (P = 0.003; odds ratio 0.53, 95% CI 0.35-0.81).
CONCLUSION: This study suggests that recurrent abdominal pain in children is associated with recent stressful life events in the children's lives.
MATERIAL AND METHODS: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.
STATISTICAL ANALYSIS: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables.
RESULTS: Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed.
CONCLUSIONS: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.