Employing machine learning for enhanced abdominal fat prediction in cavitation post-treatment.

This study investigates the application of cavitation in non-invasive abdominal fat reduction and body contouring, a topic of considerable interest in the medical and aesthetic fields. We explore the potential of cavitation to alter abdominal fat composition and delve into the optimization of fat prediction models using advanced hyperparameter optimization techniques, Hyperopt and Optuna. Our objective is to enhance the predictive accuracy of abdominal fat dynamics post-cavitation treatment. Employing a robust dataset with abdominal fat measurements and cavitation treatment parameters, we evaluate the efficacy of our approach through regression analysis. The performance of Hyperopt and Optuna regression models is assessed using metrics such as mean squared error, mean absolute error, and R-squared score. Our results reveal that both models exhibit strong predictive capabilities, with R-squared scores reaching 94.12% and 94.11% for post-treatment visceral fat, and 71.15% and 70.48% for post-treatment subcutaneous fat predictions, respectively. Additionally, we investigate feature selection techniques to pinpoint critical predictors within the fat prediction models. Techniques including F-value selection, mutual information, recursive feature elimination with logistic regression and random forests, variance thresholding, and feature importance evaluation are utilized. The analysis identifies key features such as BMI, waist circumference, and pretreatment fat levels as significant predictors of post-treatment fat outcomes. Our findings underscore the effectiveness of hyperparameter optimization in refining fat prediction models and offer valuable insights for the advancement of non-invasive fat reduction methods. This research holds important implications for both the scientific community and clinical practitioners, paving the way for improved treatment strategies in the realm of body contouring.

Revolutionizing core muscle analysis in female sexual dysfunction based on machine learning.

The purpose of this study is to investigate the role of core muscles in female sexual dysfunction (FSD) and develop comprehensive rehabilitation programs to address this issue. We aim to answer the following research questions: what are the roles of core muscles in FSD, and how can machine and deep learning models accurately predict changes in core muscles during FSD? FSD is a common condition that affects women of all ages, characterized by symptoms such as decreased libido, difficulty achieving orgasm, and pain during intercourse. We conducted a comprehensive analysis of changes in core muscles during FSD using machine and deep learning. We evaluated the performance of multiple models, including multi-layer perceptron (MLP), long short-term memory (LSTM), convolutional neural network (CNN), recurrent neural network (RNN), ElasticNetCV, random forest regressor, SVR, and Bagging regressor. The models were evaluated based on mean squared error (MSE), mean absolute error (MAE), and R-squared (R2) score. Our results show that CNN and random forest regressor are the most accurate models for predicting changes in core muscles during FSD. CNN achieved the lowest MSE (0.002) and the highest R2 score (0.988), while random forest regressor also performed well with an MSE of 0.0021 and an R2 score of 0.9905. Our study demonstrates that machine and deep learning models can accurately predict changes in core muscles during FSD. The neglected core muscles play a significant role in FSD, highlighting the need for comprehensive rehabilitation programs that address these muscles. By developing these programs, we can improve the quality of life for women with FSD and help them achieve optimal sexual health.

Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction.

Urinary incontinence (UI) is defined as any uncontrolled urine leakage. Pelvic floor muscles (PFM) appear to be a crucial aspect of trunk and lumbo-pelvic stability, and UI is one indication of pelvic floor dysfunction. The evaluation of pelvic tilt and lumbar angle is critical in assessing the alignment and posture of the spine in the lower back region and pelvis, and both of these variables are directly related to female dysfunction in the pelvic floor. UI affects a significant number of women worldwide and can have a major impact on their quality of life. However, traditional methods of assessing these parameters involve manual measurements, which are time-consuming and prone to variability. The rehabilitation programs for pelvic floor dysfunction (FSD) in physical therapy often focus on pelvic floor muscles (PFMs), while other core muscles are overlooked. Therefore, this study aimed to predict the activity of various core muscles in multiparous women with FSD using multiple scales instead of relying on Ultrasound imaging. Decision tree, SVM, random forest, and AdaBoost models were applied to predict pelvic tilt and lumbar angle using the train set. Performance was evaluated on the test set using MSE, RMSE, MAE, and R2. Pelvic tilt prediction achieved R2 values > 0.9, with AdaBoost (R2 = 0.944) performing best. Lumbar angle prediction performed slightly lower with decision tree achieving the highest R2 of 0.976. Developing a machine learning model to predict pelvic tilt and lumbar angle has the potential to revolutionize the assessment and management of this condition, providing faster, more accurate, and more objective assessments than traditional methods.

Prevalence of gastro-oesophageal reflux disease, and its associated risk factors among medical students: a nation-based cross-sectional study.

BACKGROUND: Gastroesophageal reflux disease (GERD) is a common digestive problem in adults particularly medical students, who are one of the most vulnerable groups. Many variables, including lifestyle changes and psychological stress, increase the prevalence of GERD among undergraduate medical students. Therefore, this study aims to assess the prevalence, and risk factors of GERD, and its relationship with perceived stress among medical students in Egypt. METHODS: In November and December of 2022, a cross-sectional descriptive study with an analytical component was carried out among medical students from six different universities. An online self-reported questionnaire was used to collect data. The questionnaire included data on sociodemographic characteristics, risk factors, lifestyle, the Arabic version of GerdQ, and the Arabic version of Cohen's Perceived Stress Scale (PSS). RESULTS: The questionnaire was filled out by 964 medical students, the majority of whom were female (64%). Overall, 17.1% of participants reported symptoms of GERD. Logistic regression showed that smoking, high perceived stress, and a family history of GERD were the independent predictors of having GERD symptoms, with odds ratios of 4.1, 3.9, and 2.2, respectively. CONCLUSION: GERD is a frequent condition among Egyptian medical students, affecting around one-fifth of them. In the fight against GERD, university-based smoking cessation and stress management programs may be influential.

Quality of life during COVID-19 pandemic: a community-based study in Dakahlia governorate, Egypt.

BACKGROUND: The sudden transmission of the novel coronavirus along with instant measures taken in response to the Coronavirus Disease 2019 (COVID-19) pandemic caused many new challenges adversely disturbing quality of life (QoL). The objective of this study is to measure quality of life of the public during the COVID-19 pandemic and factors affecting it among adults. METHODS: This is a community-based cross-sectional household study with analytic component conducted in an agricultural area in Dakahlia governorate, Egypt and included 500 individuals. Data were collected through a structured interview, and the collected data included socio-demographic characteristics as well as some data related to their habits and comorbidities, their experience with COVID-19 and data about QoL using the COV19-Impact on Quality of Life (COV19-QoL) scale Arabic version, after assessing Content validity and reliability. RESULTS: The total QoL score (mean ± standard deviation) is 2.3 ± 0.6 and the score for QoL in general and perception of danger on personal safety show the highest mean with 2.6 ± 0.7. The lowest mean score is related to the perception of mental health deterioration (1.9 ± 0.8). Independent predictors of the total QoL scale are sex (regression coefficient (95% CI) = 0.1 (0.02 to 0.2), p value = 0.02), monthly income (regression coefficient (95% CI) = 0.1 (0.004 to 0.2), p value = 0.04), knowing someone infected with COVID-19 (regression coefficient (95% CI) = 0.15 (0.08 to 0.3), p value = 0.001), and data collection time (regression coefficient (95% CI) = 0.1 (0.006 to 0.2), p value = 0.04). CONCLUSIONS: COVID-19 pandemic has impacted the public quality of life, particularly in terms of general quality of life and personal safety. People with substantial predictors of lower quality of life should be given more attention.

Tobacco use and its associated factors among older people: a community-based study in Egypt.

BACKGROUND: Smoking is a major health risk and tobacco use is common in all age groups in Egypt. In older people, tobacco use is considered the primary preventable cause of disability and death. Few studies have considered tobacco use in older people and its associated factors. AIMS: This study aimed to estimate the prevalence and type of tobacco use among older people in Mansoura, Egypt. METHODS: A cross-sectional descriptive population-based study was carried out in Mansoura District (both urban and rural areas). It included 663 older people aged 60 years or over. Data were collected from interviews at participants' homes using a questionnaire covering family sociodemographic details, tobacco smoking history, nicotine addiction scale, and religious commitment inventory. RESULTS: The prevalence of active current tobacco smoking among participants was 25.3%, passive smoking was 37.1%, while 6.3% were ex-smokers. Among active current smokers nicotine dependence was 42.3%, and 23.3% had failed to quit smoking, while 30.3% had the intention to quit. Logistic regression analysis revealed that being male, having low levels of education and religiosity, and urban residence were the independent predictors of current smoking. CONCLUSION: The prevalence of both active and passive tobacco smoking among older people was considered high compared to high-income countries. The most important factors associated with smoking status were sex, education and religiosity. There is an urgent need for anti-tobacco campaigns and smoking cessation interventions specifically targeting older people.

Influence of Moringa oleifera extract, vitamin C, and sodium bicarbonate on heat stress-induced HSP70 expression and cellular immune response in rabbits.

The current study aimed to test the effect of Moringa oleifera extract (MOE), vitamin (Vit) C, and sodium bicarbonate (NaHCO3) on heat stress (HS)-induced alterations in rabbits. Five groups of rabbits were designed as control, HS, HS + MOE, HS + Vit C, and HS + NaHCO3. HS groups were exposed to high temperatures, while treatments were given in drinking water for 6 weeks. Levels of blood cortisol, leptin, IFN-γ, TNF-α, and IL-10 were assayed using ELISA, while adrenaline was assayed calorimetrically. Expression of HSP70, FOXP3, T cell receptor (TCR) γ, and δ mRNA was tested using real-time (RT)-PCR, while HSP70 protein expression was tested using western blotting in liver and kidney tissues. Infiltration of regulatory T cells (Treg; CD25+) and NK (CD56+) cells were tested using immunohistochemistry (IHC). The levels of liver enzymes (ALT & AST), urea, and creatinine were assayed calorimetrically, while body weight gain (BWG) and feed conversion ratio (FCR) were calculated. The results showed increased levels of cortisol, adrenaline, leptin, IFN-γ, TNF-α, ALT, AST, urea, and creatinine but decreased IL-10 in the HS group. Increased expression of HSP70 on both mRNA and protein levels was associated with increased NK and γδ T cells versus decreased Treg cell infiltration in liver and kidney tissues of the HS group. In the same group, BWG was decreased, while FCR was increased with respect to the control group. All treatments used in this study reversed the effects of HS significantly. In conclusion, MOE, Vit C, and NaHCO3 can be added to rabbit diets for the amelioration of HS-induced symptoms.

Estimating the burden of influenza-associated hospitalization and deaths in Oman (2012-2015).

BACKGROUND: Influenza is a serious vaccine-preventable disease with high incidence, hospitalization, and mortality in high-risk groups. The epidemiology, seasonality, and risk factors for influenza are well defined in most of the temperate countries, but estimating influenza burden in the World Health Organization (WHO) Region for the Eastern Mediterranean is scarce. In Oman, despite the advancements in influenza surveillance, the clinical burden and seasonality of influenza remain not fully understood. OBJECTIVES: To estimate the incidence of influenza-associated hospitalizations and in-hospital death in Oman. PATIENTS AND METHODS: Influenza-associated hospitalizations and in-hospital deaths were estimated using hospital discharge records based on ICD-10 codes (J09-J18), results of virological analysis and population census for the period between 2012 and 2015. RESULTS: During 2012 and 2015, we identified a total of 19 405 influenza-associated hospitalization and 847 deaths. Influenza positivity percentage ranged from 6.4% in 2013 to 20.6% in 2015. Influenza-associated hospitalization incidence rate was 7.3 (95% CI: 6.4-8.1) per 100 000 in 2013 and 27.5 (95% CI: 25.9-29.1) per 100 000 in 2015 with an overall rate of 20.6 (95% CI: 19.9-21.3) per 100 000. The highest incidence of influenza-associated death was among those aged ≥65 years and ranged between 39.5 (95% CI: 27.3-51.8) per 100 000 in 2014 and 11.3 (95% CI: 7.5-15.1) in 2015. CONCLUSIONS: Influenza causes a substantial number of hospitalizations and deaths in Oman. Hospitalization rates were highest among children, and adults ≥65 years showed the highest death rate. The potential value of using seasonal influenza vaccine in these groups should be considered.

Calculating Exclusive Breastfeeding Rates: Comparing Dietary "24-Hour Recall" with Recall "Since Birth" Methods.

BACKGROUND: Calculating exclusive breastfeeding (EBF) rates based on the previous-day recall has been recommended by the World Health Organization to avoid the recall bias but it also may not accurately reflect the feeding pattern since birth and leads to overestimate of the proportion of exclusively breastfed infants. The objective of this study was to compare the (EBF) rates calculated by the 24-hour recall and since birth recall and their association with different sociodemographic and maternal data. SUBJECTS AND METHODS: Prospective descriptive study in Mansoura District including 1,102 mother-infant dyad attending primary healthcare centers for vaccination. One thousand ninety-one and 1,029 were followed up at 4 and 6 months during a period from January to October 2015. Sociodemographic data, maternal, antenatal, birth, and some infant related data were collected through interview. Questions about EBF using the 24-hour recall and since birth recall definitions were asked. RESULTS: This study shows consistent difference in breastfeeding pattern reported by 24-hour recall with recall since birth at all age intervals. At the age of 6 months 13.6% of infants were EBF as reported by 24-hour recall method versus 5.2% for recall since birth method. Different factors were associated with EBF practice reported using these different methods. CONCLUSIONS: The two recall methods describe the reality in different and incomplete ways. It is better to measure and report EBF rated using both methods so as to give a full picture of breastfeeding practice. And it is very important to distinguish between both methods and not to be used interchangeably with each other.

Knowledge, attitudes, and practices regarding travel health among Muscat International Airport travelers in Oman: Identifying the gaps and addressing the challenges.

Although the majority of travel-associated communicable diseases can be prevented, the public health burden of these diseases remains significant. Relatively little is known about how travelers know and perceive the health risks associated with travel and how they utilize preventive measures before and while traveling abroad. This study was conducted to determine the level of the knowledge, attitudes, and practices (KAP) of Muscat International Airport travelers about travel health in order to assess the knowledge gap and the need for travel health services in Oman. A cross-sectional study was conducted over a period of 1week using a self-administered questionnaire. The overall level of knowledge about vaccine-preventable diseases, food safety, and preventive measures against insect bites of the participants was inadequate. The practice concerning preventive travel health measures, such as the use of specific immunizations and antimalarial prophylaxis, was very limited, and influenced by some personal and travel-related factors. The inadequate level of travelers' knowledge and poor utilization of travel medicine services highlights the need for the provisions of specialized travel medicine services at the national level and to develop educational materials promoting the importance of pre-travel health advice.

Epidemiology of travel-associated infections in Oman 1999-2013: A retrospective analysis.

BACKGROUND: The number of travelers in Oman has increased significantly in the last 2 decades with an increase in the expatriate population workforce leading to the emergence of infections related to travel. This paper aims to highlight the burden of travel-related infections in Oman. METHOD: Our study is a descriptive record-based review and analysis of travel-associated diseases over a 14 year time period from 1999 to 2013. The data was sourced from the communicable disease surveillance system, and central public health laboratory results. RESULTS: From 1999 to 2013 there were a combined total of 7022 cases of cholera, chikungunya, dengue, filariasis, leptospirosis, meningococcal infection, poliomyelitis, measles, schistosomiasis, viral hepatitis (A), typhoid and para-typhoid reported to and subsequently investigated by the Department of Communicable Diseases. Among these cases, 558 (7.9%) were attributed to travel. Fifty percent of these patients were admitted to hospitals. CONCLUSION: Travel-associated infections account for about 8% of notifiable infections in Oman and have low mortality rate. However, some travel-associated infections are considered as a threat to polio eradication and measles elimination programs. Furthermore, some can cause outbreaks that can overwhelm the healthcare system.

Newborn first feed and prelacteal feeds in Mansoura, Egypt.

BACKGROUND: Prelacteal feed (feeding any other substance before first breastfeeding) appears to be common despite its harmful effects. By definition a child provided with prelacteal feed (PLF) is not exclusively breastfed and PLF has many implications for the success and early initiation of breastfeeding. Objectives. To describe the prevalence of, nature of, and reasons for and factors associated with PLF. METHODS: 647 mother-infant dyads were studied. Data was collected about the sociodemographic features of the family and baby, maternity care, the type of first feed before suckling, and causes of PLF. Maternal weight and height were measured and body mass index was calculated. RESULTS: About 58% of newborns received prelacteal feeds. The commonest PLF was sugar/glucose water (39.6%). The most frequent reasons for giving PLF are tradition (61.0%) and mother's/mother in law's advice (58.3%). The logistic regression revealed that the independent predictors of PLF are urban residence; maternal education; father's education; low, middle, and high social class; maternal obesity; receiving antenatal care at private clinics and no antenatal care; Caesarean section; female babies; low birth weight; and admission to neonatal intensive care. CONCLUSION: Indiscriminate use of PLF should be discouraged in medical education and in antenatal maternal health education.