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311 results on '"Alabdulla, Majid"'

1. Stress Levels and Coping Strategies of Families of Adults with Intellectual Disability and Challenging Behaviours during the COVID-19 Pandemic in Qatar

Author

El Tahir, Moham, Elhusein, Bushra, Elamin, Hassan, Rustom, Hesham, Reagu, Shuja, Bedhiaf, Hanan, Abdirahman, Salwa, and Alabdulla, Majid

Abstract

This study investigated the perceived stress levels and coping strategies of caregivers of adults with intellectual disability and challenging behaviours during the COVID-19 pandemic in Qatar. A cross-sectional survey was conducted from June 7 to September 7, 2020 for caregivers of adults diagnosed with intellectual disability and challenging behaviours. Perceived stress levels and coping strategies were assessed using the Perceived Stress Scale and Brief Coping Orientation to Problems Experienced inventory. Results showed moderate to high perceived stress levels in most caregivers (69%). The most frequent coping strategy was religion, followed by acceptance and active coping. Substance use and self-blame were less frequently used. The study revealed that emotional support, informational support and venting coping strategies were significant predictors of perceived stress levels. Restrictions on physical activity and social mobility caused by pandemic-related lockdowns have placed tremendous pressure on caregivers. Appropriate supportive measures should be implemented for the caregivers.

Published
2023
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6. Clinical reappraisal of the composite international diagnostic interview version 3.3 in Qatar's National Mental Health Study

Author

Khaled, Salma M., primary, Amro, Iman, additional, Abdelkader, Menatalla, additional, Al Bahari, Dalia, additional, Al Shawwaf, Mahmoud, additional, Alabdulla, Majid, additional, Alhassan, Ahmed, additional, Ali, Amal, additional, Aly, Sheeren, additional, Amin, Asmaa, additional, Chiu, Wai Tat, additional, Currie, James, additional, El Fakki, Hana, additional, First, Michael B., additional, Hassan, Mohammed H. O., additional, Hijawi, Zainab, additional, Mohammed, Rumaisa, additional, Nofal, Marwa, additional, Salman, Salma, additional, Sampson, Nancy A., additional, Woodruff, Peter W., additional, and Kessler, Ronald C., additional

Published
2024
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9. Abnormal corneal nerve morphology and brain volume in patients with schizophrenia

Author

Ponirakis, Georgios, Ghandi, Reem, Ahmed, Amani, Gad, Hoda, Petropoulos, Ioannis N., Khan, Adnan, Elsotouhy, Ahmed, Vattoth, Surjith, Alshawwaf, Mahmoud K. M., Khoodoruth, Mohamed Adil Shah, Ramadan, Marwan, Bhagat, Anjushri, Currie, James, Mahfoud, Ziyad, Al Hamad, Hanadi, Own, Ahmed, M. Haddad, Peter, Alabdulla, Majid, Malik, Rayaz A., and Woodruff, Peter W.

Published
2022
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14. Stigma towards health care providers taking care of COVID-19 patients: A multi-country study

Author

Nashwan, Abdulqadir J., Valdez, Glenn Ford D., AL-Fayyadh, Sadeq, Al-Najjar, Hani, Elamir, Hossam, Barakat, Muna, Almazan, Joseph U., Jahlan, Ibtesam O., Alabdulaziz, Hawa, Omar, Nabil E., Alawneh, Fade, Andika Priastana, I. Ketut, Alhanafi, Aiman, Abu-Hussein, Bilal, Al-Shammari, Malik, Shaban, Marwa M., Shaban, Mostafa, AL-Hadrawi, Hayder, Al-Jubouri, Mohammed B., Jaafar, Sabah A., Hussein, Shaymaa M., Nashwan, Ayat J., Alharahsheh, Mohammed A., Kader, Nisha, Alabdulla, Majid, Nazarene, Ananth, Yassin, Mohamed A., and Villar, Ralph C.

Published
2022
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21. Visualizing Mental Health Insights: A Pipeline from Social Media to Chernoff Faces.

Author

NAGI, Fatima, ALZUBAIDI, Mahmood, SHAH, Uzair, SHAH, Hurmat, ALABDULLA, Majid, HOUSEH, Mowafa, and AGUS, Marco

Abstract

This study proposes an approach for analyzing mental health through publicly available social media data, employing Large Language Models (LLMs) and visualization techniques to transform textual data into Chernoff Faces. The analysis began with a dataset comprising 15,744 posts sourced from major social media platforms, which was refined down to 2,621 posts through meticulous data cleaning, feature extraction, and visualization processes. Our methodology includes stages of Data Preparation, Feature Extraction, Chernoff Face Visualization, and Clinical Validation. Dimensionality reduction techniques such as PCA, t-SNE, and UMAP were employed to transform complex mental health data into comprehensible visual representations. Validation involved a survey among 60 volunteer psychiatrists, underscoring the visualizations' potential for enhancing clinical assessments. This work sets the stage for future evaluations, specifically focusing on a combined features method to further refine the visual representation of mental health conditions and to augment the diagnostic tools available to mental health professionals. [ABSTRACT FROM AUTHOR]

Published
2024
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32. The psychological impact of the Turkey-Syria earthquake on children: addressing the need for ongoing mental health support and global humanitarian response.

Author

Khan, Yasser Saeed, Khan, Abdul Waheed, and Alabdulla, Majid

Subjects
EARTHQUAKES, PSYCHOLOGICAL factors, MENTAL health, MENTAL illness, PSYCHOLOGICAL well-being
Abstract

Copyright of European Journal of Psychotraumatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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36. Design and field procedures for the clinical reappraisal of the Composite International Diagnostic Interview version 3.3 in Qatar's national mental health study.

Author

Amro, Iman, Ali, Amal, Hassan, Mohamed H. M. O., Al Shawwaf, Mahmoud, Alhassan, Ahmed, Al Bahari, Dalia, El Fakki, Hana, Hijawi, Zainab, Aly, Sheeren, Amin, Asmaa, Mohammed, Rumaisa, Nofal, Marwa, Abdelkader, Menatalla, Salman, Salma, Currie, James, Alabdulla, Majid, Sampson, Nancy A., First, Michael, Kessler, Ronald C., and Woodruff, Peter W.

Subjects
MENTAL health, COVID-19 pandemic, CULTURAL adaptation, TELEPHONE interviewing, MENTAL illness
Abstract

Background: The Composite International Diagnostic Interview (CIDI) has been clinically reappraised in several studies conducted mainly in the US and Europe. This report describes the methodology used to conduct one of the Middle East's largest clinical reappraisal studies. The study was carried out in conjunction with the World Mental Health Qatar—the first national psychiatric epidemiological study of common mental disorders in the country. This study aimed to evaluate the diagnostic consistency of core modules of the newly translated and adapted Arabic version of the CIDI 5.0 against the independent clinical diagnoses based on the Structured Clinical Interview for DSM‐5 (SCID‐5). Methods: Telephone follow‐up interviews were administered by trained clinicians using the latest research edition of the SCID for DSM‐5. Telephone administered interviews were key in the data collection, as the study took place during the COVID‐19 pandemic. Results: Overall, within 12 months, 485 interviews were completed. The response rate was 52%. Quality control monitoring documented excellent adherence of clinical interviews to the rating protocol. Conclusions: The overall methods used in this study proved to be efficient and effective. For future research, instrument cultural adaptation within the cultural context is highly recommended. [ABSTRACT FROM AUTHOR]

Published
2023
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43. The impact of the COVID-19 pandemic on the perinatal mental health of women

Author

Farrell, Tom, Reagu, Shuja, Mohan, Suruchi, Elmidany, Riham, Qaddoura, Feras, Ahmed, Ebtehag Elfadil, Corbett, Gillian, Lindow, Stephen, Abuyaqoub, Salwa Mohammed, and Alabdulla, Majid Ali

Subjects
Biomedical and clinical sciences, Paediatrics
Abstract

Objectives The physical health impact of the coronavirus disease infection (COVID-19) has received attention worldwide; however, data around the psychological impact of the pandemic is still emerging and little has been reported on psychological effects among vulnerable groups. This study was undertaken with the aim of studying the impact of the COVID-19 pandemic and related restrictions on perinatal mental health among women in Qatar. Methods A cross- sectional survey of women accessing maternity services in Qatar was carried out during the months of June and July 2020 at the local peak of the pandemic. Background data including relevant demographic details, pregnancy and mental health history, concerns, as well as helpful stress-reducing factors reported by women was collected. Depression and anxiety symptomatology was studied using the Patient Health Questionnaire Anxiety-Depression Scale (PHQ-ADS). Results The survey results revealed a high prevalence of anxiety and Depressive symptomatology (34.4 and 39.2% respectively), based on PHQ-ADS scoring. These rates appeared much higher than the reported pre-pandemic prevalence and were not affected by occupation, previous mental health problems or pregnancy complications. Women’s most commonly reported concerns as well as coping factors are discussed. Conclusions Results indicate a marked increase in anxiety and depressive symptoms during the COVID-19 pandemic, among pregnant and puerperal individuals, who constitute a vulnerable group with respect to mental health morbidity. These findings can be used to inform public health interventions, among which, consideration should be given to routine mental health screening of vulnerable groups during major health crises. Other information Published in: Journal of Perinatal Medicine License: http://creativecommons.org/licenses/by/4.0 See article on publisher's website: http://dx.doi.org/10.1515/jpm-2020-0415

Published
2023
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