Mohammed Almansour

Dr. Mohammed Almansour

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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MAMohammed Almansour
Mohammed Almansour
(1) Background: Diabetes mellitus is a common health problem in Saudi Arabia, causing a huge burden for individuals, families, and communities. The objectives of the current study were to determine the prevalence and risk factors of type 2 diabetes mellitus among a semi-urban population of Saudi Arabia. (2) Research methods: The research design was cross-sectional, and the research was conducted in five primary health care centers (PHCC) in Majmaah, Saudi Arabia. The sample size was calculated as 353. A pre-tested questionnaire was used to collect data after obtaining ethical approval. Blood samples were taken to assess glucose levels and other variables. SPSS version 21 was used to analyze data. (3) Results: The prevalence of type 2 diabetes mellitus was 34.6%. The disease was more prevalent among the older respondents compared with the younger age groups (44.6% versus 15.6%). We found that females acquire the disease at a slightly higher rate than males (34.9% versus 34.2%), but this difference is not statistically significant. The sociodemographic risk factors of the disease were as follows: old age (44%), business and private occupation (38.5%), divorced or widowed (56.3%), and low income (42.4%). The health behaviors factors were as follows: overweight or obese status (42.3%), high triglycerides (TG) (43.4%), low high-density lipoprotein (HDL) (37.3%), and high total cholesterol (23.7%). There was a statistically significant difference in these risk factors between patients with and without diabetes. (4) Conclusion: The prevalence of type 2 diabetes mellitus among the semi-urban population of Saudi Arabia is high. The disease is more prevalent among elderly respondents and is associated with obesity, high TG, low HDL, and high total cholesterol.

23 May 2024 in Journal of Medical Systems
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Mohamad-Hani TemsahMohamad-Hani Temsah
Mohamad-Hani Temsah
AAAbdullah N. Alhuzaimi
Abdullah N. Alhuzaimi
MAMohammed Almansour
Mohammed Almansour
FAFadi saleh Aljamaan
Fadi saleh Aljamaan
Khalid AlhasanKhalid Alhasan
Khalid Alhasan
RNRakan Nazer
Rakan Nazer

2 August 2024 in Medicine
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Journal Article
Open access
MAMohammed Almansour
Mohammed Almansour
FAFahad Mohammad Alfhaid
Fahad Mohammad Alfhaid
This narrative review examined the intersection of generative artificial intelligence (GAI) and the personalization of health professional education (PHE). This review aims to the elucidate the current condition of GAI technologies and their particular uses in the field of PHE. Data were extracted and analyzed from studies focusing on the demographics and professional development preferences of healthcare workers, the competencies required for personalized precision medicine, and the current and potential applications of artificial intelligence (AI) in PHE. The review also addressed the ethical implications of AI implementation in this context. Findings indicated a gender-balanced healthcare workforce with a predisposition toward continuous professional development and digital tool utilization. A need for a comprehensive educational framework was identified to include a spectrum of skills crucial for precision medicine, emphasizing the importance of patient involvement and bioethics. AI was found to enhance educational experiences and research in PHE, with an increasing trend in AI applications, particularly in surgical education since 2018. Ethical challenges associated with AI integration in PHE were highlighted, with an emphasis on the need for ethical design and diverse development teams. Core concepts in AI research were established, with a spotlight on emerging areas such as data science and learning analytics. The application of AI in PHE was recognized for its current benefits and potential for future advancements, with a call for ethical vigilance. GAI holds significant promise for personalizing PHE, with an identified need for ethical frameworks and diverse developer teams to address bias and equity in educational AI applications.

1 January 2013 in Neurosciences
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MAMohammed Almansour
Mohammed Almansour
MAMohammed A. Alateeq
Mohammed A. Alateeq
MAMansour K. Alzahrani
Mansour K. Alzahrani
MAMetab A. Algeffari
Metab A. Algeffari
HAHomaidan T. Alhomaidan
Homaidan T. Alhomaidan
OBJECTIVE: To evaluate the presence of depression and anxiety in parents/caregivers of autistic spectral disorder (ASD) children, and to identify associated factors. METHODS: In this retrospective cohort study carried out between July and December 2011, parents/caregivers of at least one child diagnosed with an ASD (cases group), were recruited through the Saudi Charitable Society of Autism Families and the Autism Clinic in the Pediatric out-patient clinic in King Fahad National Guard Hospital, King Abdulaziz Medical City (KAMC), Riyadh, Kingdom of Saudi Arabia. The parents/caregivers of a normally developed child (control group) were recruited from the Well Child Clinic at King Abdulaziz Medical City, Riyadh. We used a self-reported questionnaire containing questions on demographic data, as well as the Arabic version of the hospital anxiety and depression scale. RESULTS: The study included 100 parents/caregivers, 50 cases and 50 controls. More than 50% of the control group was in the age group 26-30 years (56%), while 42% of cases were in the age group 31-35 years. Time lapsed since autism diagnosis was over 3 years in one-third of cases. Twenty-two percent of cases, and only 2% of control parents/caregivers had a history of psychiatric problems (p=0.002). Both the mean depression score, and the mean anxiety score was significantly higher among cases when compared with controls, p<0.001. CONCLUSION: Autism is associated with burden and stress for parents/caregivers of the affected child. The demands placed by the disability contribute to a higher overall incidence of depression and anxiety among parents/caregivers.

5 April 2023 in Journal of Taibah University Medical Sciences
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Open access
MAMohammed Almansour
Mohammed Almansour
SASarah Ibrahim AlQurmalah
Sarah Ibrahim AlQurmalah
HRHabeeb Ibrahim Abdul Razack
Habeeb Ibrahim Abdul Razack
The global threat of noncommunicable diseases (NCDs) is alarmingly increasing. The health and economic burden of improper lifestyle choices is immense. Reducing modifiable risk factors has been demonstrated to significantly prevent chronic diseases. At this crucial time, lifestyle medicine (LM) has been recognized as an evidence-based medical domain applicable to NCDs. Among the tools used in LM, motivational interviewing (MI) is a patient-centered, collaborative counseling approach. In this evidence-based review article, we discuss recent literature on the application of MI in the six LM pillars defined by the British Society of LM (BSLM): healthy eating, mental wellbeing, healthy relationships, physical activity, minimizing harmful substances, and sleep. MI helps strengthen patients’ motivation to ameliorate behaviorally influenced health problems, improve treatment adherence, and optimize medical interventions. Technically correct, theoretically congruent, and psychometrically sound MI interventions yield satisfactory outcomes and help improve patient quality of life. Lifestyle change is often a gradual process involving multiple efforts and setbacks. MI is based on the idea that change is a process rather than an event. Extensive literature evidence supports the benefits of MI treatment, and interest in research on MI application is increasing across all BSLM pillars. MI helps people alter their thoughts and feelings about making changes by recognizing obstacles to change. Even interventions of short duration have been reported to yield better outcomes. Healthcare professionals must understand the relevance and importance of MI in clinical practice.

1 June 2015 in Advances in Medical Education and Practice
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NQNaseem Akhtar Qureshi
Naseem Akhtar Qureshi
MAMohammed Almansour
Mohammed Almansour
AAAbdullah Mn Al-Bedah
Abdullah Mn Al-Bedah
MAMohammed Othman AlRukban
Mohammed Othman AlRukban
IEIbrahim S Elsubai
Ibrahim S Elsubai
KMKhalid Altohami Medani
Khalid Altohami Medani
Background: Evidently, complementary and alternative medicine (CAM) is a recognized medical practice that efficiently uses multiple treatment therapies and techniques in the prevention and management of a variety of human disorders. Many medical schools have integrated CAM curriculum in medical education system worldwide. Research in knowledge, attitude, and practice (KAP) of diverse health professionals exposed to CAM courses is important from many perspectives including improvement in KAP and teaching skills of faculty, together with capacity building and curriculum development. Objective and setting: This pre- and post-design cross-sectional study aimed to assess CAM-KAP of two intakes of medical students in Majmaah University, Saudi Arabia. Methods: The second-year medical students of the first (year 2012–2013) and second (year 2013–2014) intake (n=26 and 39, respectively) were selected for this study. A reliable, 16-item self-administered questionnaire was distributed among all the students for answering before and after the 48-hour CAM course. The data were analyzed using appropriate statistical test of significance. Results: Medical students’ knowledge and attitude toward CAM significantly improved across some subitems of CAM questionnaire with a positive trend in the rest of its items including their views on CAM practices. Conclusion: CAM course tends to have a positive impact on KAP of medical students. The preliminary results of this study call for further research with a larger sample in academic settings across the nation.