METHODS: This study is a cross-sectional study information was gathered from among 353 secondary school students in the Klang Valley using a questionnaire. The instrument that was used in this study was Pittsburgh Sleep Quality Index (PSQI) Malay version, screen-based media usage (SCREENS-Q) and Hopkins Symptom Check List-25 (HSCL-25) Malay version. The sampling method was stratified and convenience sampling method. The analysis study used the Smart Partial least squares (PLS) method to analyze the data.
RESULTS: Using the Smart PLS technique, we examined the relationship between these variables and identified revealed that screen time has a direct, positive, and significant impact on anxiety level (Mean = 0.134, β = 0.123, p 0.05) and depression (Mean = 0.044, β = 0.043, p
METHODS: The Malay version of the Perceived Stress Scale with 10 items and the Brief COPE Scale were administered to a sample of 190 Malay caregivers of children with learning disabilities registered with community-based rehabilitation centres in Kelantan, a state in Peninsular Malaysia. Multiple linear regression analysis was applied to determine the predictors of perceived stress.
RESULTS: The mean total perceived stress score of caregivers was 16.96 (SD = 4.66). The most frequently used coping styles found among caregivers included religion, acceptance and positive reframing, while substance use and behavioural disengagement were least frequently used. Higher perceived stress was significantly predicted among caregivers with fewer children, frequent use of instrumental support and behavioural disengagement coping, and lack of emotional support and religious coping.
CONCLUSION: Findings indicate that the perceived stress levels among caregivers were significantly predicted by different coping styles. It is vital to help the caregivers improve their good coping styles in order to reduce their stress levels.
METHODS: This two-arm cluster-randomised controlled trial was implemented between January 2018 and November 2018. Six schools were selected using stratified random sampling, whereby students were purposively selected and invited. The criteria of inclusion to the programme were secondary school students (aged 13 years old-17 years old) who smoked conventional cigarettes (CC) and electronic cigarettes (EC).
RESULTS: A total of 422 students from six schools participated in this study. Three schools were designated as intervention (n = 250) and the other three as control schools (n = 172). Formative evaluation of participants in the FSSCP using the logic model showed that participants were satisfied with the overall programme (91.5%), were motivated to stop smoking (90.4%) and were prevented from relapse (89.2%). The quit rate at a 3-month follow-up was 41.8%.
CONCLUSION: The logic model supported the development of the programme, with details on the processes, dissemination activities, identification of barriers, evaluation criteria and outcomes provided.
METHODS: A cross-sectional study was conducted involving caregivers of children with special needs in Kelantan, a state of Peninsular Malaysia. A total of 383 caregivers completed questionnaires measuring sociodemographics, disability-related factors, psychosocial factors and QoL outcome. Structural equation modelling was performed to examine the relations of the variables in the conceptual model.
RESULTS: In the final model, childcare dependency, caregiver's age, financial support, negative perception of stress and maladaptive coping skills were significant predictors of QoL (R 2 = 0.65). Caregiver's age had a direct effect on QoL, while financial support had an indirect effect on QoL via negative perception of stress. Childcare dependency had direct and indirect effects on QoL via negative perception of stress. Higher perceived stress was associated with lower QoL directly and indirectly via maladaptive coping skills. The final model fitted the data well (root mean square error of approximation [RMSEA] = 0.046; CFI = 0.923; χ2/df = 1.798).
CONCLUSION: Intervention strategies to improve the QoL of caregivers should target the family unit and take into account the factors of child's disability, demographic and caregiver's psychosocial status.