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  1. Ali SNM, Cioca LI, Kayati RS, Saputra J, Adam M, Plesa R, et al.
    PMID: 36833563 DOI: 10.3390/ijerph20042866
    Due to unpredictable and demanding working circumstances and the significant potential for dangers and accidents, seafaring has been characterised as one of the world's riskiest and stressful vocations that lead to physical and mental health problems. However, very few instruments measure work-related stress, particularly in a seafaring context. None of the instruments are psychometrically sound. Therefore, a valid and reliable instrument to measure seafaring work-related stress is indispensable. This study aims to review work-related stress instruments and to explore the work-related stress construct among seafarers in Malaysia. This study uses a systematic review and semi-structured interviews across two phases. In Phase 1, we conducted a systematic review of several databases: Academic Search Ultimate, Emerald Journal Premier, Journal Storage (JSTOR), ScienceDirect, Springer Link, Taylor and Francis Online, and Wiley Online Library based on Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA). In 8975 articles, only 4 (four) studies used psychological instruments and 5 (five) studies used survey questionnaires to measure work-related stress. In Phase 2, we conducted a semi-structured interview with 25 (twenty-five) seafarers, online due to COVID-19 restrictions. The semi-structured interview indicated 6 (six) themes, namely, physical stress, personal issues, social living onboard, technostress, work factors, and the effect of the COVID-19 pandemic. In conclusion, the present study has identified three psychometric instruments for measuring work-related stress among seafarers: The Psychological General Well-Being Index, Perceived Stress Scale, and Job Content Questionnaire. We also found psychometric elements in some of the instruments are questionable, such as theoretical basis, construct development, and inadequate internal consistency value. In addition, this study also found that work-related stress is a multidimensional construct that needs to be studied based on work contexts. The findings of this study can contribute to the body of knowledge of a work-related stress construct in a seafaring context and could help to inform policy makers in the maritime industry. This study suggests a psychological instrument to measure work-related stress among seafarers in future studies.
    Matched MeSH terms: Humans
  2. Stocking B, Gostin L, Halton J, Saavedra J, Garcia P, Baptiste Leite R, et al.
    Lancet, 2023 Jun 17;401(10393):2035.
    PMID: 37330736 DOI: 10.1016/S0140-6736(23)01065-6
    Matched MeSH terms: Humans
  3. Zhou Y, Che CC, Chong MC, Zhao H, Lu Y
    Support Care Cancer, 2023 May 30;31(6):361.
    PMID: 37249639 DOI: 10.1007/s00520-023-07826-z
    PURPOSE: Literature on marital self-disclosure interventions for cancer patients lacks consistency in methodology and content. Moreover, the impact of such interventions on physical and psychological health, marital relationships, and self-disclosure ability is controversial. This review aims to systematically analyze the studies of marital self-disclosure intervention, synthesize the structure and topics of marital self-disclosure, and summarize and evaluate its effects on improving physical and psychological outcomes and marital relationships in cancer patients and their spouses.

    METHOD: This systematic review used the preferred reporting items of Systematic Reviews and Meta-Analyses (PRISMA). We conducted a systematic review of randomized controlled and quasi-experimental studies published from the establishment of the database to October 2022. Marital self-disclosure interventions were conducted with both cancer patients and their spouses. Studies published in a language other than English or Chinese, and studies below a quality grade of C were excluded. Data were extracted through a standardized data collection form, and two reviewers independently extracted and evaluated the data. The quality of the included studies was assessed using the Cochrane Handbook of Systematic Reviews of Interventions, and a third reviewer adjudicated in case of disagreement. The data were synthesized by vote counting based on direction of effect according to the Synthesis Without Meta-analysis (SWiM) reporting guideline.

    RESULTS: Thirteen studies were included in the review. Based on quality evaluation, three studies were categorized as grade A (good), and ten studies were grade B (moderate). Seven studies reported moderate rates of participant refusal and attrition. The structure and topics of marital self-disclosure varied across different studies. The five studies had various prespecified disclosure topics, such as fear of cancer recurrence, benefit finding, and emotional distress. The overall results suggest that marital self-disclosure interventions can improve physical and psychological health, enhance marital relationships, and increase self-disclosure ability.

    CONCLUSION: The limited number of studies, small sample sizes, diverse intervention strategies, and methodological heterogeneity weakened the evidence base for the effectiveness of marital self-disclosure interventions. Therefore, further high-quality randomized controlled trials (RCTs) are recommended to confirm the effectiveness of such interventions. These studies should also evaluate the interventions' long-term impact, analyze optional topics and methods, identify key features, and explore the development of the best intervention program.

    Matched MeSH terms: Humans
  4. Tan KY, Low SS, Manickam S, Ma Z, Banat F, Munawaroh HSH, et al.
    Food Res Int, 2023 Jul;169:112870.
    PMID: 37254319 DOI: 10.1016/j.foodres.2023.112870
    Nutraceutical supplements provide health benefits, such as fulfilling the lack of nutrients in the human body or being utilized to treat or cure certain diseases. As the world population is growing, certain countries are experiencing food crisis challenges, causing natural foods are not sustainable to be used for nutraceutical production because it will require large-scale of food supply to produce enriched nutraceutics. The high demand for abundant nutritional compounds has made microalgae a reliable source as they can synthesize high-value molecules through photosynthetic activities. However, some microalgae species are limited in growth and unable to accumulate a significant amount of biomass due to several factors related to environmental conditions. Therefore, adding nanoparticles (NPs) as a photocatalyst is considered to enhance the yield rate of microalgae in an energy-saving and economical way. This review focuses on the composition of microalgal biomass for nutraceutical production, the health perspectives of nutritional compounds on humans, and the application of nanotechnology on microalgae for improved production and harvesting. The results obtained show that microalgal-based compounds indeed have better nutrients content than natural foods. However, nanotechnology must be further comprehended to make them non-hazardous and sustainable.
    Matched MeSH terms: Humans
  5. The HV, Yang M, Fazal SA, Maran, Gao J, Yang Q, et al.
    PLoS One, 2023;18(5):e0285814.
    PMID: 37220166 DOI: 10.1371/journal.pone.0285814
    According to strategic management theory, dynamic capability plays a significant role in enhancing organizational performance. Using a cross-sectional research design, the current study quantitatively assesses the mediating effect of dynamic capability on the relationships of total quality management, customer intellectual capital, and human resource management practice with the performance of microfinance institutions. An online survey involving 120 members of Induk Koperasi Kredit, a credit union association in West Kalimantan, Indonesia, is conducted. All the data are subjected to variance-based partial least squares structural equation modeling (PLS-SEM) analysis. The obtained results demonstrate the significant and positive influence of total quality management and human resource management practice on dynamic capability. Furthermore, dynamic capability is found to mediate the relationship between total quality management and human resource management practice on the performance of microfinance institutions. However, this study is unable to conclude that total quality management and human resource management practice have any significant impact on the performance of microfinance institutions. Nonetheless, this study demonstrates the crucial need for microfinance institutions to enhance their management activities via dynamic capability to enhance performance. This is one of the earliest studies conducted during the COVID-19 pandemic to examine the capabilities and performance of microfinance institutions in Indonesia. Notably, the performance of microfinance institutions can be further sustained by improving customers' intellectual and dynamic capabilities.
    Matched MeSH terms: Humans
  6. Phuah YQ, Chang SK, Ng WJ, Lam MQ, Ee KY
    Food Res Int, 2023 Aug;170:113007.
    PMID: 37316075 DOI: 10.1016/j.foodres.2023.113007
    This review discussed the origin, manufacturing process, chemical composition, factors affecting quality and health benefits of matcha (Camellia sinensis), and the application of chemometrics and multi-omics in the science of matcha. The discussion primarily distinguishes between matcha and regular green tea with processing and compositional factors, and demonstrates beneficial health effects of consuming matcha. Preferred Reporting Items for Systematic Reviews and Meta-Analyses was adopted to search for relevant information in this review. Boolean operators were incorporated to explore related sources in various databases. Notably, climate, cultivar, maturity of tea leaves, grinding process and brewing temperature impact on the overall quality of matcha. Besides, sufficient shading prior to harvesting significantly increases the contents of theanine and chlorophyll in the tea leaves. Furthermore, the ground whole tea leaf powder delivers matcha with the greatest benefits to the consumers. The health promoting benefits of matcha are mainly contributed by its micro-nutrients and the antioxidative phytochemicals, specifically epigallocatechin-gallate, theanine and caffeine. Collectively, the chemical composition of matcha affected its quality and health benefits significantly. To this end, more studies are required to elucidate the biological mechanisms of these compounds for human health. Chemometrics and multi-omics technologies are useful to fill up the research gaps identified in this review.
    Matched MeSH terms: Humans
  7. Enea V, Eisenbeck N, Carreno DF, Douglas KM, Sutton RM, Agostini M, et al.
    Health Commun, 2023 Jul;38(8):1530-1539.
    PMID: 35081848 DOI: 10.1080/10410236.2021.2018179
    Understanding the determinants of COVID-19 vaccine uptake is important to inform policy decisions and plan vaccination campaigns. The aims of this research were to: (1) explore the individual- and country-level determinants of intentions to be vaccinated against SARS-CoV-2, and (2) examine worldwide variation in vaccination intentions. This cross-sectional online survey was conducted during the first wave of the pandemic, involving 6697 respondents across 20 countries. Results showed that 72.9% of participants reported positive intentions to be vaccinated against COVID-19, whereas 16.8% were undecided, and 10.3% reported they would not be vaccinated. At the individual level, prosociality was a significant positive predictor of vaccination intentions, whereas generic beliefs in conspiracy theories and religiosity were negative predictors. Country-level determinants, including cultural dimensions of individualism/collectivism and power distance, were not significant predictors of vaccination intentions. Altogether, this study identifies individual-level predictors that are common across multiple countries, provides further evidence on the importance of combating conspiracy theories, involving religious institutions in vaccination campaigns, and stimulating prosocial motives to encourage vaccine uptake.
    Matched MeSH terms: Humans
  8. Rajendran S, Lim JH, Yogalingam K, Kallarakkal TG, Zain RB, Jayasinghe RD, et al.
    Oral Dis, 2023 Jul;29(5):2230-2238.
    PMID: 35398971 DOI: 10.1111/odi.14206
    OBJECTIVE: To describe the development of a platform for image collection and annotation that resulted in a multi-sourced international image dataset of oral lesions to facilitate the development of automated lesion classification algorithms.

    MATERIALS AND METHODS: We developed a web-interface, hosted on a web server to collect oral lesions images from international partners. Further, we developed a customised annotation tool, also a web-interface for systematic annotation of images to build a rich clinically labelled dataset. We evaluated the sensitivities comparing referral decisions through the annotation process with the clinical diagnosis of the lesions.

    RESULTS: The image repository hosts 2474 images of oral lesions consisting of oral cancer, oral potentially malignant disorders and other oral lesions that were collected through MeMoSA® UPLOAD. Eight-hundred images were annotated by seven oral medicine specialists on MeMoSA® ANNOTATE, to mark the lesion and to collect clinical labels. The sensitivity in referral decision for all lesions that required a referral for cancer management/surveillance was moderate to high depending on the type of lesion (64.3%-100%).

    CONCLUSION: This is the first description of a database with clinically labelled oral lesions. This database could accelerate the improvement of AI algorithms that can promote the early detection of high-risk oral lesions.

    Matched MeSH terms: Humans
  9. Kakoty V, Kalarikkal Chandran S, Gulati M, Goh BH, Dua K, Kumar Singh S
    Drug Discov Today, 2023 Jun;28(6):103582.
    PMID: 37023942 DOI: 10.1016/j.drudis.2023.103582
    Aging is one of the major risk factors for most neurodegenerative disorders including Parkinson's disease (PD). More than 10 million people are affected with PD worldwide. One of the predominant factors accountable for progression of PD pathology could be enhanced accumulation of senescent cells in the brain with the progress of age. Recent investigations have highlighted that senescent cells can ignite PD pathology via increased oxidative stress and neuroinflammation. Senolytics are agents that kill senescent cells. This review mainly focuses on understanding the pathological connection between senescence and PD, with emphasis on some of the recent advances made in the area of senolytics and their evolution to potential clinical candidates for future pharmaceuticals against PD.
    Matched MeSH terms: Humans
  10. Nakayama SF, St-Amand A, Pollock T, Apel P, Bamai YA, Barr DB, et al.
    Int J Hyg Environ Health, 2023 Jan;247:114046.
    PMID: 36356350 DOI: 10.1016/j.ijheh.2022.114046
    Human biomonitoring (HBM) data measured in specific contexts or populations provide information for comparing population exposures. There are numerous health-based biomonitoring guidance values, but to locate these values, interested parties need to seek them out individually from publications, governmental reports, websites and other sources. Until now, there has been no central, international repository for this information. Thus, a tool is needed to help researchers, public health professionals, risk assessors, and regulatory decision makers to quickly locate relevant values on numerous environmental chemicals. A free, on-line repository for international health-based guidance values to facilitate the interpretation of HBM data is now available. The repository is referred to as the "Human Biomonitoring Health-Based Guidance Value (HB2GV) Dashboard". The Dashboard represents the efforts of the International Human Biomonitoring Working Group (i-HBM), affiliated with the International Society of Exposure Science. The i-HBM's mission is to promote the use of population-level HBM data to inform public health decision-making by developing harmonized resources to facilitate the interpretation of HBM data in a health-based context. This paper describes the methods used to compile the human biomonitoring health-based guidance values, how the values can be accessed and used, and caveats with using the Dashboard for interpreting HBM data. To our knowledge, the HB2GV Dashboard is the first open-access, curated database of HBM guidance values developed for use in interpreting HBM data. This new resource can assist global HBM data users such as risk assessors, risk managers and biomonitoring programs with a readily available compilation of guidance values.
    Matched MeSH terms: Humans
  11. Leonhard SE, van der Eijk AA, Andersen H, Antonini G, Arends S, Attarian S, et al.
    Neurology, 2022 Sep 20;99(12):e1299-e1313.
    PMID: 35981895 DOI: 10.1212/WNL.0000000000200885
    BACKGROUND AND OBJECTIVES: Infections play a key role in the development of Guillain-Barré syndrome (GBS) and have been associated with specific clinical features and disease severity. The clinical variation of GBS across geographical regions has been suggested to be related to differences in the distribution of preceding infections, but this has not been studied on a large scale.

    METHODS: We analyzed the first 1,000 patients included in the International GBS Outcome Study with available biosamples (n = 768) for the presence of a recent infection with Campylobacter jejuni, hepatitis E virus, Mycoplasma pneumoniae, cytomegalovirus, and Epstein-Barr virus.

    RESULTS: Serologic evidence of a recent infection with C. jejuni was found in 228 (30%), M. pneumoniae in 77 (10%), hepatitis E virus in 23 (3%), cytomegalovirus in 30 (4%), and Epstein-Barr virus in 7 (1%) patients. Evidence of more than 1 recent infection was found in 49 (6%) of these patients. Symptoms of antecedent infections were reported in 556 patients (72%), and this proportion did not significantly differ between those testing positive or negative for a recent infection. The proportions of infections were similar across continents. The sensorimotor variant and the demyelinating electrophysiologic subtype were most frequent across all infection groups, although proportions were significantly higher in patients with a cytomegalovirus and significantly lower in those with a C. jejuni infection. C. jejuni-positive patients were more severely affected, indicated by a lower Medical Research Council sum score at nadir (p = 0.004) and a longer time to regain the ability to walk independently (p = 0.005). The pure motor variant and axonal electrophysiologic subtype were more frequent in Asian compared with American or European C. jejuni-positive patients (p < 0.001, resp. p = 0.001). Time to nadir was longer in the cytomegalovirus-positive patients (p = 0.004).

    DISCUSSION: Across geographical regions, the distribution of infections was similar, but the association between infection and clinical phenotype differed. A mismatch between symptom reporting and serologic results and the high frequency of coinfections demonstrate the importance of broad serologic testing in identifying the most likely infectious trigger. The association between infections and outcome indicates their value for future prognostic models.

    Matched MeSH terms: Humans
  12. Quoc LPT
    Med J Malaysia, 2023 Mar;78(2):259.
    PMID: 36988539
    No abstract available.
    Matched MeSH terms: Humans
  13. Farhadinia MS, Waldron A, Kaszta Ż, Eid E, Hughes A, Ambarlı H, et al.
    Commun Biol, 2022 Nov 29;5(1):1221.
    PMID: 36443482 DOI: 10.1038/s42003-022-04061-w
    Aichi Target 11 committed governments to protect ≥17% of their terrestrial environments by 2020, yet it was rarely achieved, raising questions about the post-2020 Global Biodiversity Framework goal to protect 30% by 2030. Asia is a challenging continent for such targets, combining high biodiversity with dense human populations. Here, we evaluated achievements in Asia against Aichi Target 11. We found that Asia was the most underperforming continent globally, with just 13.2% of terrestrial protected area (PA) coverage, averaging 14.1 ± SE 1.8% per country in 2020. 73.1% of terrestrial ecoregions had <17% representation and only 7% of PAs even had an assessment of management effectiveness. We found that a higher agricultural land in 2015 was associated with lower PA coverage today. Asian countries also showed a remarkably slow average annual pace of 0.4 ± SE 0.1% increase of PA extent. These combined lines of evidence suggest that the ambitious 2030 targets are unlikely to be achieved in Asia unless the PA coverage to increase 2.4-5.9 times faster. We provided three recommendations to support Asian countries to meet their post-2020 biodiversity targets: complete reporting and the wider adoption "other effective area-based conservation measures"; restoring disturbed landscapes; and bolstering transboundary PAs.
    Matched MeSH terms: Humans
  14. Satar SNA, Mogan S, Jaafar WPN, Maghalingam S, Affendi FAR, Ng CF, et al.
    Med J Malaysia, 2023 Mar;78(2):149-154.
    PMID: 36988523
    INTRODUCTION: Electroencephalogram (EEG) is an important investigational tool that is widely used in the hospital settings for numerous indications. The aim was to determine factors associated with abnormal EEG and its clinical correlations in hospitalised patients.

    MATERIALS AND METHODS: Patients with at least one EEG recording were recruited. The EEG and clinical data were collated.

    RESULTS: Two hundred and fifty patients underwent EEG and 154 (61.6%) were found to have abnormal EEG. The abnormal changes consist of theta activity (79,31.6%), delta activity (20, 8%), focal discharges (41,16.4%) and generalised discharges (14, 5.6%). Older patients had 3.481 higher risk for EEG abnormalities, p=0.001. Patients who had focal seizures had 2.240 higher risk of having EEG abnormalities, p<0.001. Low protein level was a risk for EEG abnormalities, p=0.003.

    CONCLUSION: This study emphasised that an abnormal EEG remains a useful tool in determining the likelihood for seizures in a hospital setting. The risk factors for EEG abnormality in hospitalised patients were age, focal seizures and low protein level. The EEG may have an important role as part of the workup in hospitalised patients to aid the clinician to tailor their management in a holistic manner.

    Matched MeSH terms: Humans
  15. Asghar MZ, Albogamy FR, Al-Rakhami MS, Asghar J, Rahmat MK, Alam MM, et al.
    Front Public Health, 2022;10:855254.
    PMID: 35321193 DOI: 10.3389/fpubh.2022.855254
    Deep neural networks have made tremendous strides in the categorization of facial photos in the last several years. Due to the complexity of features, the enormous size of the picture/frame, and the severe inhomogeneity of image data, efficient face image classification using deep convolutional neural networks remains a challenge. Therefore, as data volumes continue to grow, the effective categorization of face photos in a mobile context utilizing advanced deep learning techniques is becoming increasingly important. In the recent past, some Deep Learning (DL) approaches for learning to identify face images have been designed; many of them use convolutional neural networks (CNNs). To address the problem of face mask recognition in facial images, we propose to use a Depthwise Separable Convolution Neural Network based on MobileNet (DWS-based MobileNet). The proposed network utilizes depth-wise separable convolution layers instead of 2D convolution layers. With limited datasets, the DWS-based MobileNet performs exceptionally well. DWS-based MobileNet decreases the number of trainable parameters while enhancing learning performance by adopting a lightweight network. Our technique outperformed the existing state of the art when tested on benchmark datasets. When compared to Full Convolution MobileNet and baseline methods, the results of this study reveal that adopting Depthwise Separable Convolution-based MobileNet significantly improves performance (Acc. = 93.14, Pre. = 92, recall = 92, F-score = 92).
    Matched MeSH terms: Humans
  16. Abdool Karim SS, Barre-Sinoussi F, Varmus HE, Serwadda D, Bukusi E, M'boup S, et al.
    N Engl J Med, 2023 Sep 28;389(13):1159-1161.
    PMID: 37694893 DOI: 10.1056/NEJMp2310330
    Matched MeSH terms: Humans
  17. Ramli NM, Mohd Zain NR
    Korean J Radiol, 2023 Oct;24(10):936-937.
    PMID: 37793663 DOI: 10.3348/kjr.2023.0742
    Matched MeSH terms: Humans
  18. Kaleem S, Sohail A, Tariq MU, Babar M, Qureshi B
    PLoS One, 2023;18(10):e0292587.
    PMID: 37819992 DOI: 10.1371/journal.pone.0292587
    Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia, its rapid spread requires innovative strategies for its early detection and management. In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. One cost-effective approach to detect the disease is the use of chest X-rays, which is a common initial testing method. Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. This article introduces an advanced architecture that leverages an ensemble learning technique for COVID-19 detection from chest X-ray images. Using a parallel and distributed framework, the proposed model integrates ensemble learning with big data analytics to facilitate parallel processing. This approach aims to enhance both execution and training times, ensuring a more effective detection process. The model's efficacy was validated through a comprehensive analysis of predicted and actual values, and its performance was meticulously evaluated for accuracy, precision, recall, and F-measure, and compared to state-of-the-art models. The work presented here not only contributes to the ongoing fight against COVID-19 but also showcases the wider applicability and potential of ensemble learning techniques in healthcare.
    Matched MeSH terms: Humans
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