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Fulltext Prevalence and knowledge of polycystic ovary syndrome (PCOS) and health-related practices among women of Syria: a cross-sectional study

Bohsas H, Alibrahim H, Swed S, Abouainain Y, Aljabali A, Kazan L, et al.

J Psychosom Obstet Gynaecol, 2024 Dec;45(1):2318194.
PMID: 38635351 DOI: 10.1080/0167482X.2024.2318194

Polycystic Ovarian Syndrome (PCOS) is a prevalent metabolic and hormonal disorder affecting women of reproductive age. Limited data exists on Syrian women's PCOS awareness and health behaviors. This study aimed to gauge PCOS prevalence, knowledge, awareness, and health-related practices among Syrian women. A cross-sectional online survey was conducted from 11 February to 27 October 2022, targeting Syrian women aged 18-45. Collaborators from specific medical universities distributed a questionnaire adapted from a Malaysian paper through social media platforms. Out of 1840 surveyed Syrian women, 64.2% were aged 21-29, and 69.6% held bachelor's degrees. Those with a bachelor's degree exhibited the highest mean knowledge score (12.86), and women previously diagnosed with PCOS had a higher mean knowledge score (13.74) than those without. Approximately 27.4% were confirmed PCOS cases, and 38.9% had possible cases. Women with PCOS were 3.41 times more likely to possess knowledge about the condition. The findings suggest a moderate level of PCOS knowledge and health-related practices among Syrian women, emphasizing the need for increased awareness. Consistent local PCOS screening programs, in collaboration with obstetrics and gynecology professionals, are crucial for improving understanding and clinical symptom recognition of this condition among Syrian women.
Evaluating knowledge, practice, and attitude of Syrian population on sexually transmitted infections and human immunodeficiency virus

Swed S, Alibrahim H, Albakri K, Rais MA, Al-Rassas S, Hafez W, et al.

HIV Res Clin Pract, 2024 Dec;25(1):2356409.
PMID: 39001878 DOI: 10.1080/25787489.2024.2356409

BACKGROUND: Human immunodeficiency virus (HIV) and sexually transmitted infections (STIs) can cause severe and fatal complications; knowledge about these diseases is essential for promoting safe sex practices and modifying behaviours that are harmful to one's health. This study investigates Syrian people's understanding, attitudes, and behaviors towards HIV/AIDS and STIs, aiming to identify factors promoting safe sex practices and modifying harmful behaviors.
METHODS: This online cross-sectional study was conducted in Syria between 3 September and 23 November 2022, involving all 18+ individuals. The questionnaire was adapted from a previous study containing 74 questions from five sections: socio-demographic information, knowledge and practice regarding STIs, knowledge and practice regarding HIV/AIDS, attitude towards HIV/AIDS, and attitude regarding STIs and analyzed using descriptive and multivariate logistic regression.
RESULTS: The study involved 1073 participants mostly aged between 18-30, with 55.3% females. Over half had good awareness of STIs and HIV/AIDS, with 55% and 63% respectively. Specifically, the overall knowledge level of STI type, signs/symptoms, risks of transmission, preventive methods, and complications for untreated STIs were (45.7%), (52.9%), (58.1%), (66.1%), and (59.6%), respectively. Medical field respondents had higher knowledge of HIV (P-value < 0.05, OR = 2).
CONCLUSION: Our results show that Syrian people have a knowledge level of STIs and HIV was moderate. However, the attitude toward STIs was negative, as less than half of the participants had a good attitude. It is essential to solve these knowledge gaps, especially in low-income countries such as Syria.
Fulltext Knowledge of mpox and its determinants among the healthcare personnel in Arabic regions: A multi-country cross-sectional study

Swed S, Bohsas H, Patwary MM, Alibrahim H, Rakab A, Nashwan AJ, et al.

New Microbes New Infect, 2023 Sep;54:101146.
PMID: 37363720 DOI: 10.1016/j.nmni.2023.101146

BACKGROUND & AIM: The monkeypox virus (MPXV), an Orthopoxvirus family member, is the zoonotic agent that causes mpox (formerly known as monkeypox). The ongoing mpox pandemic has caused cases across continents involving 110 countries. This study aimed to assess mpox knowledge and its determinants among healthcare personnel.
METHODS: This cross-sectional study was conducted from June 6 to June 25, 2022, among 17 Arab countries. The self-administered questionnaire consists of 53 questions assessing the knowledge about the monkeypox virus.
RESULTS: In total, 5874 medical students and clinical doctors from 17 Arab countries participated in this study. Only 13.8% (n = 812) of respondents have ever received information about mpox during their studies in medicine. The mean knowledge score was 13.84, and the median score was 15 (range 1-34). More than half (51.3%, n = 3012) have heard about mpox before. A low proportion of the participants had a good level of knowledge on mpox. Only 11.7% of respondents had correctly identified the natural host and the incubation period of mpox. More than half (58.9%) were aware of the signs and symptoms of mpox. Few respondents (28%) believed that mpox and smallpox have similar signs and symptoms. Specialist doctors had higher knowledge of mpox (AOR = 2.96, 95% CI = 2.24-3.92, p
Fulltext Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model

Dergaa I, Saad HB, El Omri A, Glenn JM, Clark CCT, Washif JA, et al.

Biol Sport, 2024 Mar;41(2):221-241.
PMID: 38524814 DOI: 10.5114/biolsport.2024.133661

The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for personalized health management. AI-based fitness applications are becoming more common, facilitating the opportunity for individualised exercise prescription. However, the use of AI carries the risk of inadequate expert supervision, and the efficacy and validity of such applications have not been thoroughly investigated, particularly in the context of diverse health conditions. The aim of the study was to critically assess the efficacy of exercise prescriptions generated by OpenAI's Generative Pre-Trained Transformer 4 (GPT-4) model for five example patient profiles with diverse health conditions and fitness goals. Our focus was to assess the model's ability to generate exercise prescriptions based on a singular, initial interaction, akin to a typical user experience. The evaluation was conducted by leading experts in the field of exercise prescription. Five distinct scenarios were formulated, each representing a hypothetical individual with a specific health condition and fitness objective. Upon receiving details of each individual, the GPT-4 model was tasked with generating a 30-day exercise program. These AI-derived exercise programs were subsequently subjected to a thorough evaluation by experts in exercise prescription. The evaluation encompassed adherence to established principles of frequency, intensity, time, and exercise type; integration of perceived exertion levels; consideration for medication intake and the respective medical condition; and the extent of program individualization tailored to each hypothetical profile. The AI model could create general safety-conscious exercise programs for various scenarios. However, the AI-generated exercise prescriptions lacked precision in addressing individual health conditions and goals, often prioritizing excessive safety over the effectiveness of training. The AI-based approach aimed to ensure patient improvement through gradual increases in training load and intensity, but the model's potential to fine-tune its recommendations through ongoing interaction was not fully satisfying. AI technologies, in their current state, can serve as supplemental tools in exercise prescription, particularly in enhancing accessibility for individuals unable to access, often costly, professional advice. However, AI technologies are not yet recommended as a substitute for personalized, progressive, and health condition-specific prescriptions provided by healthcare and fitness professionals. Further research is needed to explore more interactive use of AI models and integration of real-time physiological feedback.