scholarly journals Density of Fast Food Outlets around Educational Facilities in Riyadh, Saudi Arabia: Geospatial Analysis

2021 ◽  
Vol 18 (12) ◽  
pp. 6502
Author(s):  
Alaa Ashraf AlQurashi ◽  
Dian Kusuma ◽  
Hala AlJishi ◽  
Ali AlFaiz ◽  
Abdulaziz AlSaad
Keyword(s):  
Saudi Arabia ◽  
Fast Food ◽  
High Density ◽  
World Health ◽  
Public Health Issue ◽  
Educational Facilities ◽  
Government Schools ◽  
Food Outlets ◽  
Using Data ◽  
Health Organization

Background: Childhood obesity remains a public health issue globally. The latest estimate from the World Health Organization showed that over 340 million children and adolescents aged 5–19 were overweight or obese in 2016. Objective: Our study aimed to assess the density of fast food outlets around educational facilities in Riyadh, Saudi Arabia. Methods: We employed geospatial and quantitative analyses using data on fast food outlets (from surveys conducted between November 2019 and May 2020) and educational facilities in Riyadh city. Data analyses conducted using ArcMap 10.6 and Stata 15 compared the density within 500 m and 500–1000 m from the facilities. Results: We found a high density of fast food outlets around educational facilities. Nearly 80% of fast food were within twelve-minute walking or five-minute driving distances from schools, and nearly 70% of all educational facilities had at least one fast food outlet within the buffer. We also found the densities were high within both the areas closer and the areas farther away from educational facilities. In addition, the density was significantly higher around private schools compared to government schools, and the density around girls-only schools and both-gender schools was higher than that around boys-only schools. Conclusion: There is a high density of fast food outlets around educational facilities in Saudi Arabia. Effective policies are needed to help reduce potential exposure to fast food among young people in Saudi Arabia and other countries with similar settings.

Antimicrobial peptides for the treatment of pulmonary tuberculosis, allies or foes?

2018 ◽  
Vol 24 (10) ◽  
pp. 1138-1147
Author(s):  
Bruno Rivas-Santiago ◽  
Flor Torres-Juarez
Keyword(s):  
Pulmonary Tuberculosis ◽  
Antimicrobial Peptides ◽  
Experimental Models ◽  
New Drugs ◽  
World Health ◽  
Public Health Issue ◽  
Health Organization ◽  
Drug Resistant Strains

Tuberculosis is an ancient disease that has become a serious public health issue in recent years, although increasing incidence has been controlled, deaths caused by Mycobacterium tuberculosis have been accentuated due to the emerging of multi-drug resistant strains and the comorbidity with diabetes mellitus and HIV. This situation is threatening the goals of World Health Organization (WHO) to eradicate tuberculosis in 2035. WHO has called for the creation of new drugs as an alternative for the treatment of pulmonary tuberculosis, among the plausible molecules that can be used are the Antimicrobial Peptides (AMPs). These peptides have demonstrated remarkable efficacy to kill mycobacteria in vitro and in vivo in experimental models, nevertheless, these peptides not only have antimicrobial activity but also have a wide variety of functions such as angiogenesis, wound healing, immunomodulation and other well-described roles into the human physiology. Therapeutic strategies for tuberculosis using AMPs must be well thought prior to their clinical use; evaluating comorbidities, family history and risk factors to other diseases, since the wide function of AMPs, they could lead to collateral undesirable effects.

A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes

2020 ◽  
Vol 16 ◽  
Author(s):  
Nitigya Sambyal ◽  
Poonam Saini ◽  
Rupali Syal
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Clinical Medicine ◽  
Microvascular Complications ◽  
Descriptive Analysis ◽  
Machine Learning Techniques ◽  
World Health ◽  
Public Health Issue ◽  
Learning Techniques ◽  
Health Organization

Background and Introduction: Diabetes mellitus is a metabolic disorder that has emerged as a serious public health issue worldwide. According to the World Health Organization (WHO), without interventions, the number of diabetic incidences is expected to be at least 629 million by 2045. Uncontrolled diabetes gradually leads to progressive damage to eyes, heart, kidneys, blood vessels and nerves. Method: The paper presents a critical review of existing statistical and Artificial Intelligence (AI) based machine learning techniques with respect to DM complications namely retinopathy, neuropathy and nephropathy. The statistical and machine learning analytic techniques are used to structure the subsequent content review. Result: It has been inferred that statistical analysis can help only in inferential and descriptive analysis whereas, AI based machine learning models can even provide actionable prediction models for faster and accurate diagnose of complications associated with DM. Conclusion: The integration of AI based analytics techniques like machine learning and deep learning in clinical medicine will result in improved disease management through faster disease detection and cost reduction for disease treatment.

scholarly journals Disability, Frailty and Depression in the community-dwelling older adults with Osteosarcopenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ki-Soo Park ◽  
Gyeong-Ye Lee ◽  
Young-Mi Seo ◽  
Sung-Hyo Seo ◽  
Jun-Il Yoo
Keyword(s):  
Older Adults ◽  
Short Form ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Community Dwelling ◽  
Normal Group ◽  
World Health ◽  
Common Disease ◽  
Using Data ◽  
Health Organization

Abstract Background The purpose of this study was to investigate the prevalence of osteosarcopenia in the over 60-year-old community and to evaluate whether osteosarcopenia is associated with disability, frailty and depression. Methods This study was performed using the baseline data of Namgaram-2, among the 1010 surveyed subjects, 885 study subjects who were 60 years or older and had all necessary tests performed were selected. The Kaigo-Yobo checklist (frailty), World Health Organization Disability Assessment Schedule (WHODAS) and Geriatric Depression Scale-Short Form-Korean (GDSSF-K) were used. The Asian Working Group for Sarcopenia (AWGS 2019) were applied in this study. Osteopenia was measured using data from dual energy X-ray absorptiometry (DEXA) and osteopenia was diagnosed when the T-score was less than − 1.0. The study subjects were divided into four groups: the normal group, in which both sarcopenia and osteopenia were undiagnosed, osteopenia only, sarcopenia only and the osteosarcopenia group, which was diagnosed with both sarcopenia and osteopenia. Results Of the 885 subjects over 60 years old evaluated, the normal group comprised 34.0%, the only osteopenia group 33.7%, the only sarcopenia group 13.1%, and the osteosarcopenia group 19.2%. WHODAS (17.5, 95% CI: 14.8-20.1), Kaigo-Yobo (3.0, 95% CI: 2.6-3.4), and GDSSF mean score (4.6, 95% CI: 3.9-5.4) were statistically significantly higher in the osteosarcopenia group compared the other groups. Partial eta squared (ηp2) of WHODAS (0.199) and Kaigo-Yobo (0.148) values ​​according to Osteosarcopenia were large, and GDSSF (0.096) was medium Conclusions Osteosarcopenia is a relatively common disease group in the older adults community that may cause deterioration of health outcomes. Therefore, when evaluating osteopenia or sarcopenia in the older adults, management of those in both disease groups should occur together.

scholarly journals Assessment of drinking water contamination in food stalls of Jashore Municipality, Bangladesh

2021 ◽  
Vol 11 (8) ◽  
Author(s):  
Molla Rahman Shaibur ◽  
Mohammed Sadid Hossain ◽  
Shirina Khatun ◽  
F. K. Sayema Tanzia
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
World Health Organization ◽  
Fast Food ◽  
Pathogenic Bacteria ◽  
Permissible Limit ◽  
World Health ◽  
Drinking Water Contamination ◽  
The World ◽  
Health Organization

AbstractThis study aimed to determine the quality of drinking water supplied in different types of food stalls in Jashore Municipality, Bangladesh. A total of 35 water samples were collected from different tea stalls, street side fast food stalls, normal restaurants and well-furnished restaurants. The water quality was evaluated by determining the distinct physical, chemical and biological parameters. The results revealed that the water used in the food stalls and restaurants for drinking purpose was in desired quality in terms of turbidity, electrical conductivity, pH, total dissolved solids, nitrate (NO3−), sulfate (SO42−), phosphate (PO43−), chloride (Cl−), sodium (Na) and potassium (K) concentrations. The values were within the permissible limit proposed by the Bangladesh Bureau of Statistics and the World Health Organization. Concentrations of calcium (Ca) and magnesium (Mg) found in several samples were higher than the World Health Organization standard. Iron (Fe) concentrations were higher than the permissible limit of the World Health Organization. Only 46% exceeded the permissible limit of Bangladesh Bureau Statistics. The threatening result was that the samples were contaminated by fecal coliform, indicating that the people of Jashore Municipality may have a greater chance of being affected by pathogenic bacteria. The drinking water provided in the street side fast food stalls was biologically contaminated. The findings demonstrate that the drinking water used in food stalls and restaurants of Jashore Municipality did not meet up the potable drinking water quality standards and therefore was detrimental to public health.

scholarly journals Secular Trends of Underweight, Overweight, and Obesity in Children and Adolescents from Ukraine

2021 ◽  
Vol 18 (6) ◽  
pp. 3302
Author(s):  
Katarzyna Dereń ◽  
Justyna Wyszyńska ◽  
Serhiy Nyankovskyy ◽  
Olena Nyankovska ◽  
Marta Yatsula ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Age Groups ◽  
Overweight And Obesity ◽  
The Body ◽  
World Health ◽  
Public Health Issue ◽  
Significant Difference ◽  
Significant Public Health ◽  
Health Organization ◽  
Obesity In Children

Overweight and obesity, as well as underweight in children and adolescents, pose a significant public health issue. This study aimed to investigate the secular trend of the incidence of underweight, overweight, and obesity in children from Ukraine in 2013/2014 and 2018/2019. The studies were conducted in randomly selected primary and secondary schools in Ukraine. In total, 13,447 children (6468 boys and 6979 girls) participated in the study in 2013/2014 and 18,144 children (8717 boys and 9427 girls) participated in 2018/2019. Measurements of body weight and height were performed in triplicate. Underweight, overweight, and obesity were diagnosed according to the standards of the World Health Organization (WHO). In the group of girls, a significant difference between 2013/2014 and 2018/2019 measurements was found only among 7-year-olds. The percentage of girls at this age exceeding the body mass index (BMI) norm was lower in the 2018/2019 study. In boys, a significant difference was also found in 7-year-olds, and, as in girls, a lower share of overweight and obesity was found in 2018/2019. But for the ages of 12, 13, and 15, the significant differences had a different character—more overweight or obese boys were found in the 2018/2019 study. The proportion of underweight children was similar for the majority of age groups in both genders and did not differ in a statistically significant way.

scholarly journals Nurses’ Knowledge and Anxiety Levels toward COVID-19 in Saudi Arabia

2021 ◽  
Vol 11 (2) ◽  
pp. 356-363
Author(s):  
Fatmah Alsharif
Keyword(s):  
Saudi Arabia ◽  
Psychological Health ◽  
Care Staff ◽  
World Health ◽  
Health Issues ◽  
Sources Of Information ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
As Stress ◽  
Health Organization

Background: In the battle against the Coronavirus Disease 2019 (COVID-19) pandemic, medical care staff, especially nurses, are at a higher risk of encountering psychological health issues and distress, such as stress, tension, burdensome indications, and, most importantly, fear. They are also at higher risk of becoming infected and transmitting this virus. In Saudi Arabia, it was noticed that the healthcare workforce suffered from anxiety, and that this more evident in women than men. Objective: This study aimed to assess the knowledge of nurses regarding COVID-19 and the level of anxiety toward the COVID-19 outbreak in the current pandemic situation. Design: A cross-sectional design was used and a validated self-administered online questionnaire with a set of questions related to COVID-19 was distributed to 87 participating nurses. Results: The results showed that more than half of the nurses (71.90%) had an adequate and good knowledge about the causes, transmission, symptoms, treatment, and death rate of COVID-19. The main sources of information for the nurses were social media (51.7%) and the World Health Organization and the Ministry of Health (36.8%). Conclusions: The results allowed the conclusion that, though the nurses had satisfactory knowledge about COVID-19, more than 50% of them experienced mental health issues such as anxiety. To address this, along with providing more knowledge about COVID-19, nurses should be supported in managing their anxiety.

scholarly journals Mental health law in Saudi Arabia

2018 ◽  
Vol 15 (1) ◽  
pp. 17-19
Author(s):  
Jessica Carlisle
Keyword(s):  
Mental Health ◽  
Saudi Arabia ◽  
Psychiatric Patients ◽  
International Standards ◽  
World Health ◽  
Health Law ◽  
Kingdom Of Saudi Arabia ◽  
Mental Health Law ◽  
The Past ◽  
Health Organization

During the past 30 years the Kingdom of Saudi Arabia has developed an extensive hospital-based mental health system culminating in the passing of a mental health law in 2014. This legislation embodies many of the international standards promoted by the World Health Organization. However, the mechanisms for protecting the human rights of psychiatric patients are neither sufficiently independent nor adequately robust.

scholarly journals A Bibliometric Analysis of Coronavirus Research in Gulf Cooperation Council Countries

2021 ◽  
Vol 17 (13) ◽  
pp. 99-119
Author(s):  
Ali Mustafa Qamar ◽  
Rehan Ullah Khan ◽  
Suliman Alsuhibany
Keyword(s):  
Saudi Arabia ◽  
New England ◽  
Bibliometric Analysis ◽  
United Arab Emirates ◽  
Middle Eastern ◽  
Gulf Cooperation Council ◽  
World Health ◽  
King Saud University ◽  
The World ◽  
Health Organization

COVID-19 was declared a pandemic by World Health Organization in March 2020. Since then, it has attracted the enormous attention of researchers from around the world. The world has gone through previous instances of corona-viruses such as Severe Acute Respiratory Syndrome and Middle Eastern Respiratory Syndrome. Nevertheless, none was of these were of this serious nature as COVID-19. In this research, we carry out a bibliometric analysis of coronavirus research using the Scopus database. However, we restricted ourselves to the Gulf Cooperation Council countries, comprising Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. The analysis was performed using Biblioshiny software. We analyzed 4288 articles written by 24226 researchers from 1994 till 2021, published in 1429 sources. The number of authors per publication is 5.65. A bulk of the research (more than 68%) appeared in the form of articles. More than 43% of the publications appeared in 2020 and more than 44% in 2021. Saudi Arabia appears the most-cited country, followed by Qatar. Journal of Infection and Public Health published the most number of papers, whereas New England Journal of Medicine is the most-cited one. Memish, Z.A. wrote the maximum number of papers. The top source, according to the H-index, is the Journal of Virology. Furthermore, the two most prolific universities are King Saud University and King Abdulaziz University, both from Saudi Arabia. The research uncovered deep learning as a niche theme used in recent publications. The research landscape continues to alter as the pandemic keeps on evolving.

Alcohol-Related Mortality in the WHO European Region: Sex-Specific Trends and Predictions

2019 ◽  
Vol 54 (6) ◽  
pp. 593-598 ◽  
Author(s):  
Nathalie Pruckner ◽  
Barbara Hinterbuchinger ◽  
Matthäus Fellinger ◽  
Daniel König ◽  
Thomas Waldhoer ◽  
...  
Keyword(s):  
Regional Differences ◽  
World Health ◽  
European Region ◽  
Drinking Patterns ◽  
Death Rates ◽  
Per Capita ◽  
Using Data ◽  
Health Organization ◽  
Per Capita Consumption ◽  
Related Mortality

Abstract Aims Alcohol is an important risk factor for morbidity and mortality, especially within the European region. Differences in per capita consumption and drinking patterns are possible reasons for regional differences and diverging trends in alcohol-related health outcomes. Methods Twenty-nine countries within the World Health Organization (WHO) European region were evaluated for trends and predictions in alcohol-related deaths within the last four decades using data available from the WHO Health for All database. Results Between 1979 and 2015, age-standardised death rates due to selected alcohol-related causes decreased significantly for both sexes in all assessed countries of the WHO European region, but regional differences are still pronounced. Assuming a similar trend in the future, the model predicted a further decrease until the year 2030. Conclusion Even though alcohol-related mortality may have decreased within the last decades, the detrimental effects of alcohol consumption and alcohol dependence remain a considerable burden of disease within Europe.

scholarly journals Predicting the Epidemiological Outbreak of the Coronavirus Disease 2019 (COVID-19) in Saudi Arabia

2020 ◽  
Vol 17 (12) ◽  
pp. 4568 ◽  
Author(s):  
Dabiah Alboaneen ◽  
Bernardi Pranggono ◽  
Dhahi Alshammari ◽  
Nourah Alqahtani ◽  
Raja Alyaffer
Keyword(s):  
Saudi Arabia ◽  
Real Time ◽  
World Health ◽  
Logistic Growth ◽  
Final Phase ◽  
Time Data ◽  
Local Prediction ◽  
The World ◽  
Real Time Data ◽  
Health Organization

The coronavirus diseases 2019 (COVID-19) outbreak continues to spread rapidly across the world and has been declared as pandemic by World Health Organization (WHO). Saudi Arabia was among the countries that was affected by the deadly and contagious virus. Using a real-time data from 2 March 2020 to 15 May 2020 collected from Saudi Ministry of Health, we aimed to give a local prediction of the epidemic in Saudi Arabia. We used two models: the Logistic Growth and the Susceptible-Infected-Recovered for real-time forecasting the confirmed cases of COVID-19 across Saudi Arabia. Our models predicted that the epidemics of COVID-19 will have total cases of 69,000 to 79,000 cases. The simulations also predicted that the outbreak will entering the final-phase by end of June 2020.

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