Medicine and Health Sciences | Open Access Articles

Association Between Depression, Happiness, And Sleep Duration: Data From The Uae Healthy Future Pilot Study, Mitha Al Balushi, Sara Al Balushi, Syed Javaid, Andrea Leinberger-Jabari, Fatma Al-Maskari, Mohammed Al-Houqani, Ayesha Al Dhaheri, Abdullah Al Nuaimi, Abdullah Al Junaibi, Naima Oumeziane, Marina Kazim, Aisha Al Hamiz, Muna Haji, Ayesha Al Hosani, Leila Abdel Wareth, Wael Almahmeed, Habiba Alsafar, Fatme Alanouti, Eiman Al Zaabi, Claire K. Inman, Omar El Shahawy, Michael Weitzman, Ann Marie Schmidt, Scott Sherman, Abdishakur Abdulle, Amar Ahmad, Raghib Ali

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Background: The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants. Methods: The UAEHFS pilot data were analyzed to examine the relationship between the PHQ-8 and possible confounding factors, such as self-reported happiness, and self-reported sleep duration (hours) after adjusting for …

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Representations Of Depression And Schizophrenia In The Community: The Role Of Illness And Risk Perceptions On Help-Seeking Intentions, David Dias Neto, Maria João Figueiras, Rita Sebastião

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Illness perceptions (IPs) are important in understanding human reactions to illnesses, including mental health disorders. They influence risk perceptions and several variables relevant to the adjustment to a disorder, treatment seeking, and health outcomes. This study sought to compare IP, risk perception, and help-seeking intention for depression and schizophrenia in a community sample and to assess the mediating role of risk perception in the relationship between IP and help-seeking intention. A total of 380 adults participated in this study and filled out self-report measures of IPs, risk perceptions, and help-seeking intention. The previous diagnosis of depression was used to control …

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Prevalence Of Bullying Behaviors Among Students From A National University In The United Arab Emirates: A Cross-Sectional Study, Fatima Al-Darmaki, Haleama Al Sabbah, Dalia Haroun

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This study aims to investigate bullying behaviors among college students at one of the national universities in UAE, and also to examine the psychological characteristics of those who were exposed to, or have experienced bullying. A cross-sectional study was conducted on 839 undergraduate students at one of the national universities in the UAE. Students from all colleges participated in this study and were selected by using stratified random sampling. Participants completed a bullying survey designed for the study, in addition to three psychological measures [i.e., Aggression Questionnaire, Buss and Perry, 1992; The Primary Care Anxiety and Depression, El-Rufaie et al., …

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The Psychological Impact Of Isolation On Hospitalised Patients With Covid-19 Infection In The Uae, Nahida Nayaz Ahmed, Nirmin F. Juber, Reem Alkaabi, Fatema Alshehhi, Mohamed Alobeidli, Ahlam Salem, Alaa Galadari, Shamil Wanigaratne, Amar Ahmad

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Infection prevention and control measures for COVID-19 may include immediate admission to an isolation facility for the infected. However, the mental health impact of this isolation worldwide is not fully documented. This study aims to contribute to global data on the psychological impact of COVID-19 and to be the first study to assess psychological distress among hospitalised patients with COVID-19 in the UAE. Using a cross-sectional study design on 132 hospitalised patients, we found that 90% of participants scored within the normal levels for psychological distress. The length of stay was associated with higher levels of psychological distress and those …

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Machine Learning Techniques For Predicting Depression And Anxiety In Pregnant And Postpartum Women During The Covid-19 Pandemic: A Cross-Sectional Regional Study, Radwan Qasrawi, Malak Amro, Stephanny Vicunapolo, Diala Abu Al-Halawa, Hazem Agha, Rania Abu Seir, Maha Hoteit, Reem Hoteit, Sabika Allehdan, Nouf Behzad, Khlood Bookari, Majid Alkhalaf, Haleama Al-Sabbah, Eman Badran, Reema Tayyem

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Background: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and related safety restrictions worldwide negatively affected the mental health of pregnant and postpartum women. Methods: This regional study aimed to develop a machine learning (ML) model for the prediction of maternal depression and anxiety. The study used a dataset collected from five Arab countries during the COVID-19 pandemic between July to December 2020. The population sample included 3569 women (1939 pregnant and 1630 postpartum) from five countries (Jordan, Palestine, …

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Representations Of Depression And Schizophrenia In The Community: The Role Of Illness And Risk Perceptions On Help-Seeking Intentions, David Dias Neto, Maria João Figueiras, Rita Sebastião

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Prevalence Of Bullying Behaviors Among Students From A National University In The United Arab Emirates: A Cross-Sectional Study, Fatima Al-Darmaki, Haleama Al Sabbah, Dalia Haroun

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The Psychological Impact Of Isolation On Hospitalised Patients With Covid-19 Infection In The Uae, Nahida Nayaz Ahmed, Nirmin F. Juber, Reem Alkaabi, Fatema Alshehhi, Mohamed Alobeidli, Ahlam Salem, Alaa Galadari, Shamil Wanigaratne, Amar Ahmad

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