Pursuing undergraduate medical training can be very stressful and academically challenging experience. A 5-week mindfulness-based stress management (MBSM/Mindful-Gym) program was developed to help medical students cope with stress. The aim of this study was to evaluate the effectiveness of the intervention in reducing stress among students in a medical school in Malaysia. Seventy-five medical students participated in the program. They were stratified according to years of studies and randomly allocated to intervention (N = 37) and control groups (N = 38). The following outcome variables were measured at pre- and post-intervention: mindfulness (with Mindful Awareness Attention Scale); perceived stress (with Perceived Stress Scale); mental distress (with General Health Questionnaire), and self-efficacy (with General Self-efficacy Scale). Hierarchical multiple regressions were used to analyse the effect of group (intervention vs. control) on changes in the outcome variables. There were significant improvements at one week post-intervention in all outcome variables: mindfulness (β = 0.19, ΔR2 = 0.04, p = .040, f (2) = 0.05), perceived stress (β = -0.26, ΔR2 = 0.07, p = .009, f (2) = 0.10); mental distress (β = -0.28, ΔR2 = 0.10, p = .003, f (2) = 0.15); and self-efficacy (β = 0.30, ΔR2 = 0.09, p < .001, f (2) = 0.21). Six months after the intervention, those who had joined the program reported higher self-efficacy compared to those in the control group (β = 0.24, ΔR2 = 0.06, p = .020, f (2) = 0.08); but there was no difference in other outcome measures. More than 90% of the participants found the program applicable in helping patients and all reported that they would recommend it to others. This study indicates that the program is potentially an effective stress management program for medical students in Malaysia.

Resting‐state fMRI (rs‐fMRI) detects functional connectivity (FC) abnormalities that occur in the brains of patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). FC of the default mode network (DMN) is commonly impaired in AD and MCI. We conducted a systematic review aimed at determining the diagnostic power of rs‐fMRI to identify FC abnormalities in the DMN of patients with AD or MCI compared with healthy controls (HCs) using machine learning (ML) methods. Multimodal support vector machine (SVM) algorithm was the commonest form of ML method utilized. Multiple kernel approach can be utilized to aid in the classification by incorporating various discriminating features, such as FC graphs based on “nodes” and “edges” together with structural MRI‐based regional cortical thickness and gray matter volume. Other multimodal features include neuropsychiatric testing scores, DTI features, and regional cerebral blood flow. Among AD patients, the posterior cingulate cortex (PCC)/Precuneus was noted to be a highly affected hub of the DMN that demonstrated overall reduced FC. Whereas reduced DMN FC between the PCC and anterior cingulate cortex (ACC) was observed in MCI patients. Evidence indicates that the nodes of the DMN can offer moderate to high diagnostic power to distinguish AD and MCI patients. Nevertheless, various concerns over the homogeneity of data based on patient selection, scanner effects, and the variable usage of classifiers and algorithms pose a challenge for ML‐based image interpretation of rs‐fMRI datasets to become a mainstream option for diagnosing AD and predicting the conversion of HC/MCI to AD.

Purpose: This cross-sectional study examined the cyber-psychological correlates of depression, anxiety, stress, and suicidality among public university students in Klang Valley, Malaysia. Design and Methods: Participants were randomly selected using multi-stage sampling methods from three public universities in the study location.

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IntroductionThe risk of development of active TB in HIV-infected individuals is 20–37 times higher than those that are HIV negative. Poor knowledge of TB amongst people living with HIV has been associated with high transmission.ObjectivesTo determine the effectiveness of a new health education intervention module in improving knowledge, attitude, and practice (KAP) regarding tuberculosis among HIV patients in General Hospital Minna, Nigeria.MethodsA randomized control trial was carried out from July 2015 to June 2017. A random number generating program was used to allocate 226 respondents into 2 groups. The intervention group received health education regarding tuberculosis using the developed module. The control group received the normal services provided for HIV patients. Data were collected from December 2015 to September 2016 at baseline, immediate post intervention, three, six and nine months. The outcome measures were knowledge, attitude, and practice.ResultsThere was no significant difference with respect to socio-demographic characteristics, KAP of the respondents in the intervention and control group at baseline. However, there was significant improvement in knowledge in the intervention group compared to the control group, group main effect (F = (1,218) = 665.889, p = 0.001, partial ἠ2 = 0.753, d = 5.4); time (F = (3.605, 218) = 52.046, p = 0.001, partial ἠ2 = 0.193, d = 1.52) and interaction between group with time (F = (3.605, 218) = 34.028, p = 0.001, partial ἠ2 = 0.135, d = 1.23). Likewise, there was significant improvement in attitude, group main effect (p = 0.001, d = 1.26) and time (p = 0.001, p, d = 0.65). Similarly, there was improvement in practice, group main effect, time, and interaction of group with time (p < 0.05).ConclusionThe health education intervention program was effective in improving KAP regarding tuberculosis among HIV patients.