MATERIALS AND METHODS: Self-administered questionnaires were distributed to 400 subjects. The questionnaire comprised three parts; the first part addressed the demographic variables. The second part queried about dental prosthesis, orthognathic or plastic surgery, and/or ongoing or previous orthodontic treatment. The third part included the Arabic version of the-8-item Orofacial Esthetic Scale (OES-Ar) whose responses were scored in the 5-point Likert scale. These scores were compared by different grouping factors (age, gender, marital status, and education) using non-parametric Mann-Whitney U and Kruskal Willis tests with 95% confidence interval (α > 0.05).
RESULTS: A total of 268 questionnaires were eligible for analysis, representing 67% response rate. The satisfaction with facial profile appearance was the highest (4.0±1.1) followed by facial appearance (3.9±1.1), while the color of teeth was the least satisfying item (3.1±1.3). No significant differences were found between age groups for the mean summary score as well as for each item independently. No significant difference was found between both sexes except for the last item "overall impression". Married subjects rated one item (alignment of teeth) better than their counterparts. Positive perception of orofacial appearance increased significantly with the increase of education level, the perception of the oral health status, and the perception of the general health status.
CONCLUSION: Good oral health and/or high education level are significant determinants of more positive perception of orofacial esthetic appearance. Patients with these characteristics might be more concerned about their orofacial appearance, and this should be taken into consideration before planning any esthetic restorative dental treatment.
DESIGN: A systematic review was conducted using electronic databases of CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science for articles published until the 11th of January 2018.
ELIGIBILITY CRITERIA: All observational studies investigating the association between social support and depression among community-dwelling older adults in Asia were included.
PARTICIPANTS: Older adults aged 60 years and more who are living in the community.
EXPOSURE MEASURES: Social support.
OUTCOME MEASURES: Depression.
RESULTS: We retrieved16 356 records and screened 66 full-text articles. Twenty-four observational studies were included in the review. They consisted of five cohort studies and 19 cross-sectional studies. Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. Good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among community-dwelling older adults in Asia.
CONCLUSIONS: There were 20 different social support measures and we applied a framework to allow for better comparability. Our findings emphasised the association between good social support and decrease depression among older adults. Compared with western populations, family support has a greater influence on depression among community-dwelling older adults in Asia. This indicates that the family institution needs to be incorporated into designed programmes and interventions when addressing depression in the Asian context. TRIAL : registration number : CRD42017074897.
OBJECTIVE: In an attempt to understand this relationship, this study aimed to carry out an investigation on online intervention features for effective management of Facebook addiction in higher education.
METHODS: This study was conducted quantitatively using surveys and partial least square-structural equational modeling. The study involved 200 postgraduates in a Facebook support group for postgraduates. The Bergen Facebook Addiction test was used to assess postgraduates' Facebook addiction level, whereas online intervention features were used to assess postgraduates' perceptions of online intervention features for Facebook addiction, which are as follows: (1) self-monitoring features, (2) manual control features, (3) notification features, (4) automatic control features, and (5) reward features.
RESULTS: The study discovered six Facebook addiction factors (relapse, conflict, salience, tolerance, withdrawal, and mood modification) and five intervention features (notification, auto-control, reward, manual control, and self-monitoring) that could be used in the management of Facebook addiction in postgraduate education. The study also revealed that relapse is the most important factor and mood modification is the least important factor. Furthermore, findings indicated that notification was the most important intervention feature, whereas self-monitoring was the least important feature.
CONCLUSIONS: The study's findings (addiction factors and intervention features) could assist future developers and educators in the development of online intervention tools for Facebook addiction management in postgraduate education.
METHODS: Through stratified random sampling, 1469 students, aged 18-19 years, were enrolled. Participants whose score achieved the aggressive evaluation standard were selected and then 60 participants were randomly divided into 2 groups: G-IPT and control. The participants in the G-IPT group received 16 sessions of treatment, whereas the participants in the control group did not receive any intervention. All participants completed the assessment three times: before, after, and tracking.
RESULTS: The results showed that the total score and the scores of all subscales of aggression dropped significantly (P
METHODS: Data were collected from undergraduate students at all campuses of the Universiti Sains Malaysia. A total of 1,605 students completed the SEE-M (female: 71.5%, male: 28.5%), with the mean age of 20.3 years (SD = 1.5). Perceived self-efficacy was assessed with the 18-item SEE-M. Standard forward-backward translation was performed to translate the English version of the Efficacy for Exercise Scale (SEE) into the Malay version (SEE-M).
RESULTS: The 2 initial measurement models tested (1-factor and 3-factor models) did not result in a good fit to the data. Subsequent investigation of the CFA results recommended some modifications, including adding correlations between the item residuals within the same latent variable. These modifications resulted in good fit indices for the 1-factor model (RMSEA = .059, CFI = .939, TLI = .922, SRMR = .049) and the 3-factor model (RMSEA = .066, CFI = .924, TLI = .903, SRMR = .051). The final measurement models comprised all 18 SEE-M items, which had significant factor loadings of more than .40. The test-retest results indicated that the SEE-M was stable, with an intra-class correlation of .99. The composite reliability was .886 for the 1-factor model and .670-.854 for the 3-factor model.
CONCLUSIONS: The translated version of the SEE-M was valid and reliable for assessing the level of self-efficacy for exercise among university students in Malaysia.
PERSPECTIVE: This study examining the psychometric properties of the SEE scale based on CFA was the first to assess 2 proposed models (1-factor and 3-factor models) simultaneously and to translate the original, English-language SEE into Malay.
OBJECTIVE: This research is to analyze the impact of stressors and its relevance on the learning outcome of HFPS as a teaching-learning tool for the management of emergency surgical conditions including trauma.
MATERIALS AND METHODS: This study is a Quasi-experimental time series design. A total number of 347 final-year undergraduate (MBBS) students of Melaka-Manipal Medical College, Malaysia. They were grouped and assessed individually by pre-test and post-tests on their knowledge, performance and associated stressor scores. The one-way repeated measure of Analysis of Variance (ANOVA) was used to determine the statistically significant differences in total score at pre-test simulation and post-test-simulation sessions. Friedman test was used for assessment of individual components of stressors. Pre-test and post-tests scores were compared to note progress in confidence and stress reduction. P value <0.001 was considered statistically significant.
RESULTS: ANOVA with Bonferroni post hoc analysis showed a statistically significant (p <0.001) difference in stressor score over time. The drop-in stress was significant initially but flattened out later.
CONCLUSION: Stress significantly decreased as the students were exposed to more sessions of HFPS which ultimately translated into better learning outcome.