Faktor penentu pengurusan kewangan: kes mahasiswa Universiti Kebangsaan Malaysia

Isu mengenai mahasiswa institusi pengajian tinggi pada awal tahun 2016 yang mengadu kebuluran akibat kesempitan wang menjadi topik paling hangat diperkatakan melalui laman sosial media mahupun menerusi media arus perdana. Lebih-lebih lagi masalah ini berlaku kepada penuntut Tahun Satu Sarjana Muda Psikologi Universiti Kebangsaan Malaysia (UKM) yang mendakwa kesempitan hidup memaksa beliau mengikat perut sehingga ususnya tercedera. Oleh itu, kajian ini melihat faktor penentu kepada amalan pengurusan kewangan yang baik dalam kalangan mahasiswa prasiswazah dan pascasiswazah UKM. Sebanyak 200 soal selidik telah dianalisis. Hasil kajian menunjukkan literasi kewangan memainkan peranan yang signifikan dengan impak yang paling tinggi terhadap amalan pengurusan kewangan yang baik bagi kedua-dua mahasiswa prasiswazah dan pascasiswazah. Manakala aspek sumber pembiayaan dan pengurusan perbelanjaan hanya mempengaruhi amalan pengurusan kewangan mahasiswa pascasiswazah, namun tidak bagi mahasiswa prasiswazah. Memandangkan literasi kewangan merupakan aspek penting yang perlu diterapkan demi pengamalan pengurusan yang mantap, maka kursus yang berkaitan pengurusan kewangan wajar ditawarkan serta diwajibkan kepada setiap pelajar UKM tanpa mengambil kira bidang mahupun peringkat pengajian mereka

Effectiveness of relaxation techniques 'as an active ingredient of psychological interventions' to reduce distress, anxiety and depression in adolescents: a systematic review and meta-analysis.

BackgroundAdolescent depression and anxiety are among the leading contributors to health burden worldwide. 'Relaxation Techniques (RTs)' are a "set of strategies to improve physiological response to stress" and are frequently cited as an active ingredient of trans-diagnostic, psychosocial interventions for scaling-up care for preventing and treating these conditions in adolescents. However, there is a little evidence on the effectiveness of 'relaxation techniques' for this age group.AimAs a part of the Wellcome Trust's Active Ingredients commission, we did a systematic review and meta-analysis to evaluate the effectiveness of RTs to reduce the symptoms of distress, anxiety and depression in young people, aged 14 to 24 years old, globally.MethodsWe searched 10 academic databases to include 65 Randomized Controlled Trials (RCTs) of relaxation-based interventions for young people with the symptoms of anxiety and depression. Primary outcomes were reduction in symptoms of distress, anxiety and/or depression. We employed the Cochrane risk of bias tool and GRADE (Grading of Recommendations, Assessment, Development and Evaluations) guidelines to assess certainty of outcomes pertaining to anxiety, depression and distress. Standardized mean difference was estimated using effect size.ResultsThe analysis of 65 RCTs with 8009 young people showed that RTs were highly effective in treating anxiety (pooled effect size of (Standardized Mean Difference-SMD) - 0.54 (95% CI - 0.69 to - 0.40); moderately effective in reducing distress (SMD = - 0.48, 95% CI - 0.71 to - 0.24) and had only a weak effect on improving depression in young people (SMD = - 0.28 (95% CI - 0.40% to - 0.15). Face-to-face delivered relaxation techniques yielded higher effect size (SMD = - 0.47, 95% CI - 0.64 to - 0.30) compared to online delivery (SMD = - 0.22, 95% CI - 0.48 to 0.04) for anxiety.ConclusionMost of the included studies were from High Income Countries (HICs) and had a high risk of bias. Further high-quality studies with low risk of bias, especially from low resource settings are needed to evaluate the evidence for effectiveness of RTs as an active ingredient of psychological interventions to reduce the symptoms of distress, anxiety and depression in young people

Morphological Identification and Resistance Profile of Antibiotic and Heavy Metals-Resistant Bacteria in Hospital Sewage of Peshawar

Background: Increased resistance of microorganisms to commonly prescribed antibiotics has emerged as a significant hurdle in contemporary medical practice. The World Health Organization (WHO) has declared antibiotic resistance as a " major threat to public health.". In the present study, bacterial isolates were selected based on high antibiotic and heavy metal tolerance from a water sample taken from hospital sewage.Methods: Antibiotic-resistant bacteria were isolated through the disk diffusion method. Gram staining was done for morphological identification. For molecular identification, the 16s rDNA PCR amplification was done with universal primers. Results: The strain BC1 was found resistant to ampicillin (10μg/ml), and cefixime (5μg/ml). While, susceptible to kanamycin (30μg/ml), azithromycin (15μg/ml) and intermediate in response to amoxicillin (30μg/ml). The strain BC2 was resistant to ampicillin (10μg/ml), cefixime (5μg/ml) and kanamycin (30μg/ml). While, Susceptible to amoxicillin (30μg/ml), and intermediate in response to azithromycin (15μg/ml). The strains were also found resistant to heavy metals.Conclusion: The recent investigation on bacterial strains from hospital effluent found interesting candidates for understanding the AMR bacteria and developing novel active biomolecules to combat the antibiotics problem. The isolated strains could be a source of novel resistant genes however; a comprehensive molecular analysis is needed for advanced studies

The global burden of adolescent and young adult cancer in 2019 : a systematic analysis for the Global Burden of Disease Study 2019

Background In estimating the global burden of cancer, adolescents and young adults with cancer are often overlooked, despite being a distinct subgroup with unique epidemiology, clinical care needs, and societal impact. Comprehensive estimates of the global cancer burden in adolescents and young adults (aged 15-39 years) are lacking. To address this gap, we analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, with a focus on the outcome of disability-adjusted life-years (DALYs), to inform global cancer control measures in adolescents and young adults. Methods Using the GBD 2019 methodology, international mortality data were collected from vital registration systems, verbal autopsies, and population-based cancer registry inputs modelled with mortality-to-incidence ratios (MIRs). Incidence was computed with mortality estimates and corresponding MIRs. Prevalence estimates were calculated using modelled survival and multiplied by disability weights to obtain years lived with disability (YLDs). Years of life lost (YLLs) were calculated as age-specific cancer deaths multiplied by the standard life expectancy at the age of death. The main outcome was DALYs (the sum of YLLs and YLDs). Estimates were presented globally and by Socio-demographic Index (SDI) quintiles (countries ranked and divided into five equal SDI groups), and all estimates were presented with corresponding 95% uncertainty intervals (UIs). For this analysis, we used the age range of 15-39 years to define adolescents and young adults. Findings There were 1.19 million (95% UI 1.11-1.28) incident cancer cases and 396 000 (370 000-425 000) deaths due to cancer among people aged 15-39 years worldwide in 2019. The highest age-standardised incidence rates occurred in high SDI (59.6 [54.5-65.7] per 100 000 person-years) and high-middle SDI countries (53.2 [48.8-57.9] per 100 000 person-years), while the highest age-standardised mortality rates were in low-middle SDI (14.2 [12.9-15.6] per 100 000 person-years) and middle SDI (13.6 [12.6-14.8] per 100 000 person-years) countries. In 2019, adolescent and young adult cancers contributed 23.5 million (21.9-25.2) DALYs to the global burden of disease, of which 2.7% (1.9-3.6) came from YLDs and 97.3% (96.4-98.1) from YLLs. Cancer was the fourth leading cause of death and tenth leading cause of DALYs in adolescents and young adults globally. Interpretation Adolescent and young adult cancers contributed substantially to the overall adolescent and young adult disease burden globally in 2019. These results provide new insights into the distribution and magnitude of the adolescent and young adult cancer burden around the world. With notable differences observed across SDI settings, these estimates can inform global and country-level cancer control efforts. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.Peer reviewe

The global burden of cancer attributable to risk factors, 2010-19 : a systematic analysis for the Global Burden of Disease Study 2019

Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.Peer reviewe

Optimizing cognitive and behavioural approaches for perinatal depression: a systematic review and meta-regression analysis

Abstract Cognitive behavioral therapies (CBT) have been demonstrated efficacious in treating perinatal depression (PND). This has been demonstrated in several meta-analyses of randomized controlled trials and quasi-experimental studies. However, there is a need for up-to-date meta-analytical evidence providing reliable estimates for CBT’s effectiveness in treating and preventing PND. Furthermore, with the world moving toward precision medicine, approaches require a critical synthesis of psychotherapies, especially to unpack their mechanisms of action and to understand what approaches work best for whom. Therefore, the present systematic review and meta-regression analyses aim to answer these research questions. We searched six academic databases through February 2022 and identified 56 studies for an in-depth review. Using pretested data extraction sheets, we extracted patient-level and intervention-level characteristics and effect size data from each study. Random-effects meta-analyses and mixed-effect subgroup analyses were run to delineate the effectiveness and moderators of CBT interventions for PND, respectively. CBT-based interventions yielded a strong effect size (SMD = −0.74, 95% confidence interval [CI]: −0.91 to −0.56, n = 9,722) in alleviating depressive symptoms. These interventions were effective across different delivery formats (individual, group, and electronic) and could be delivered effectively by specialists and nonspecialists. Longer duration CBT interventions may not necessarily be more effective than shorter ones. Moreover, CBT-based interventions should consider including various behavioral ingredients to maximize intervention benefits.</jats:p

A computational approach to fighting type 1 diabetes by targeting 2C Coxsackie B virus protein with flavonoids

Autoimmune diabetes, well-known as type 1 insulin-dependent diabetic mellitus (T1D). T1D is a prolonged condition marked by an inadequate supply of insulin. The lack is brought on by pancreatic cell death and results in hyperglycemia. The immune system, genetic predisposition, and environmental variables are just a few of the many elements that contribute significantly to the pathogenicity of T1D disease. In this study, we test flavonoids against Coxsackie virus protein to cope the type 1 diabetes. After protein target identification we perform molecular docking of flavonoids and selected target (1z8r). then performed the ADMET analysis and select the top compound the base of the docking score and the ADMET test analysis. Following that molecular dynamics simulation was performed up to 300 ns. Root means square deviation, root mean square fluctuation, secondary structure elements, and protein-ligand contacts were calculated as post-analysis of simulation. We further check the binding of the ligand with protein by performing MM-GBSA every 10 ns. Lead compound CID_5280445 was chosen as a possible medication based on analysis. The substance is non-toxic, meets the ADMET and BBB likeness requirements, and has the best interaction energy. This work will assist researchers in developing medicine and testing it as a treatment for Diabetes Mellitus Type 1 brought on by Coxsackie B4 viruses by giving them an understanding of chemicals against these viruses

The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19

BackgroundThe advancement of cancer research has been facilitated through freely available cancer literature, databases, and tools. The age of genomics and big data has given rise to the need for cooperation and data sharing in order to make efficient use of this new information in the COVID-19 pandemic. Although there are many databases for cancer research, their access is not easy owing to different ways of processing and managing the data. There is an absence of a unified platform to manage all of them in a transparent and more comprehensible way. ObjectiveIn this study, an improved integrated cancer research database and platform is provided to facilitate a deeper statistical insight into the correlation between cancer and the COVID-19 pandemic, unifying the collection of almost all previous published cancer databases and defining a model web database for cancer research, and scoring databases on the basis of the variety types of cancer, sample size, completeness of omics results, and user interface. MethodsDatabases examined and integrated include the Data Portal database, Genomic database, Proteomic database, Expression database, Gene database, and Mutation database; and it is expected that this launch will sort, save, advance the understanding and encourage the use of these resources in the cancer research environment. ResultsTo make it easy to search valuable information, 85 cancer databases are provided in the form of a table, and a database of databases named the Cancer Research Database (CRDB) has been built and presented herein. Furthermore, the CRDB has been herein equipped with unique navigation tools in order to be explored by three methods; that is, any single database can be browsed by typing the name in the given search bar, while all categories can be browsed by clicking on the name of the category or image expression icon, thus serving as a facility that could provide all the category databases on a single click. ConclusionsThe computational platform (PHP, HTML, CSS, and MySQL) used to build CRDB for the cancer scientific community can be freely investigated and browsed on the internet and is planned to be updated in a timely manner. In addition, based on the proposed platform, the status and diagnoses statistics of cancer during the COVID-19 pandemic have been thoroughly investigated herein using CRDB, thus providing an easy-to-manage, understandable framework that mines knowledge for future researchers

Prevention of common mental disorders among women in the perinatal period: a critical mixed-methods review and meta-analysis

Perinatal depression and anxiety account for a high burden of perinatal morbidity and poor psychosocial functioning. There is a growing interest among mental health professionals, to devise interventions to prevent this condition. This review synthesizes evidence for the effectiveness of psychological and psychosocial interventions aimed at the prevention of perinatal depression and anxiety. We also explore qualitative evidence to understand the acceptability and feasibility of these interventions. Using a mixed-methods approach, data from a total of 21 studies were collated to inform the evidence for preventive interventions for perinatal depression and anxiety. Based on their theoretical orientations, these interventions were described by authors as cognitive-behavioral (n = 7); psychoeducational (n = 6); mindfulness (n = 2); and interpersonal psychotherapy (n = 2). These also included psychosocial approaches such as social support (n = 1) and multicomponent interventions (n = 3). For depressive symptoms, these interventions yielded moderate to strong effect sizes in favor of the intervention group [standardized mean difference (SMD) = −0.59; 95% confidence interval (CI) −0.95 to −0.23]. For anxiety symptoms, a strong effect size was estimated in favor of the intervention group (SMD = −1.43, 95% CI −2.22 to −0.65). Preventive interventions significantly reduce the severity of perinatal depressive and anxiety symptoms. These interventions are also acceptable and feasible in many settings