COVID-19 is an alarming public health concern worldwide. COVID-19 is highly contagious and has no approved treatment or vaccine yet. Therefore, the best strategy is prevention. Studies have shown that a healthy lifestyle, regular exercise, balanced eating, and quality sleep are the key elements for protection from this disease. We are going through a distressful period as a nation and as the human race in general. We need to manage this period in the best way possible in physiological and psychological terms. Physical activity is one of the major steps in managing this period in a healthy way. Individuals should be provided information about exercise so that they can perform correct physical activities within their means. This article presents an exercise prescription that can be followed in the days of the COVID-19 pandemic. doi: https://doi.org/10.12669/pjms.36.7.2929 How to cite this:Aktug ZB, Demir NA. An Exercise Prescription for COVID-19 Pandemic. Pak J Med Sci. 2020;36(7):1732-1736. doi: https://doi.org/10.12669/pjms.36.7.2929 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BACKGROUND: In the current literature, exercises performed using fitness equipment and body weight have been used in order to decrease the bilateral deficit (BLD) and increase the hamstring-quadriceps (H/Q) ratio. No studies have previously investiga

Bu çalışmanın amacı, oyunsal etkinliklerin ve fiziksel aktivite düzeyinin dikkat gelişimi üzerine etkisinin incelenmesidir. Çalışmaya 10-13 yaşları arasında 209 kız ve 230 erkek olmak üzere toplam 439 çocuk katılmıştır. Çocuklar kontrol grubu ve 14 hafta boyunca dikkati geliştirmeye yönelik eğitsel oyun oynayan deney grubu olmak üzere iki gruba ayrılmıştır. Çocukların dikkat düzeyi D2 dikkat testiyle fiziksel aktivite düzeyi ise ilköğretim öğrencileri için fiziksel aktivite anketi ile belirlenmiştir. Grupların ön testleri ile son testleri arasındaki farkı belirlemede paired t testi kullanılmıştır. Çalışma sonucunda hem deney grubunun hem de kontrol grubunun dikkat düzeylerinin son testte arttığı belirlenirken, deney grubundaki artışının kontrol grubuna göre daha yüksek olduğu bulunmuştur. Ayrıca fiziksel aktivite düzeyi yüksek olan çocukların dikkat düzeylerinin de yüksek olduğu belirlenmiştir. Günümüzde çocukların en büyük sorunu olan dikkat eksikliğini engellemek için fiziksel aktivite seviyesinin ve oyunsal etkinliklerle geçirilecek zamanın artırılması gerektiği söylenebilir. Bu bağlamada ebeveyn ve öğretmenlerin, çocukların dikkat gelişimini arttırmak için ders programının içeriklerine, içerisinde fiziksel hareketleri de barındıran eğitsel oyunları ilave etmesi önerilebilir.

The aim of this study was to investigate the relationship between motor skills and body mass index (BMI) along with physical activity level (PAL) of children aged 8-10 years. A total of 376 children (female = 168, male = 208) aged 8-10 years participated in the study. In the study, BMIs of children were determined by [body weight (kg) / height (m2)] formula, PALs were determined by Physical Activity Questionnare for Older Children (PAQ-C) and motor skills by Allgemeiner Sportmotorischer Test (AST). Pearson Correlation Analysis was used to determine the relationship between motor skill and BMI along with PAL. As a result of the study, a significant positive correlation was found between PAL and AST20 m-running, AST6 min running and ASTtotal score, while a negative correlation was found between BMI and AST20 m running, ASThurdle run, AST medicine ball toss, AST6 min running and ASTtotal score. In addition, it was found that the majority of children in the AST classification were in the moderate (46.3%) and poor (45.5%) motor skills category and no children were in the very good motor skills category. As a result, it can be stated that motor development can be achieved by directing children to physical activities and high BMI constitutes a limitation of motor skills of children. Considering this situation, it may be recommended to direct children to physical activities in order to increase the motor skill that has a positive effect on success and ability to work positively or negatively at every stage of life. ​​Extended English summary is in the end of Full Text PDF (TURKISH) file. Özet Çalışmanın amacı, 8-10 yaşları arasındaki çocukların motor becerileri ile vücut kitle indeksi (VKİ) ve fiziksel aktivite düzeyi (FAD) arasındaki ilişkinin incelenmesidir. Çalışmaya 8-10 yaş arası toplam 376 (kız= 168, erkek=208) çocuk katılmıştır. Çalışmada çocukların VKİ’leri [vücut ağırlığı (kg)/boy (m2)] formülü ile, FAD’leri İlköğretim Öğrencileri İçin Fiziksel Aktivite Anketi (PAQ-C) ile motor becerileri ise Allgemeiner Sportmotorischer Test (AST) ile belirlenmiştir. Motor beceri ile VKİ ve FAD arasındaki ilişkiyi belirlemede Pearson Korelasyon Analizi kullanılmıştır. Çalışma sonucunda, FAD ile AST20 m koşu, AST6 dk koşu ve ASTtoplam skoru arasında pozitif yönlü anlamlı bir ilişki belirlenirken, VKİ ile AST20 m koşu, ASTengel koşusu, ASTsağlık topu atma, AST6 dk koşu ve ASTtoplam skoru arasında negatif yönlü anlamlı bir ilişki tespit edilmiştir. Ayrıca AST sınıflandırılmasında çocukların çoğunluğunun orta (%46,3) ve kötü (%45,5) motor beceri kategorisinde olduğu ve çok iyi motor beceri kategorisinde hiçbir çocuğun bulunmadığı belirlenmiştir. Sonuç olarak çocukların fiziksel aktivitelere yönlendirilerek motor becerilerinde gelişim sağlana bilineceği ve yüksek VKİ’nin çocukların motor becerilerinde sınırlama oluşturduğu söylenebilir. Bu durum göz önüne alınarak hayatın her aşamasında başarıyı ve iş yapabilme kapasitesini olumlu ya da olumsuz olarak etkileyen motor becerinin artırılması için çocukları fiziksel aktivitelere yönlendirmek önerilebilir

Objective: The aim of this study is to compare the effects of the general warm-up and the FIFA 11+ warm-up program on athletic performance and Functional Movement Screen (FMS) test scores. Materials and methods: Participants were divided into two groups, the general warm-up group (GWG) (n=20) and the FIFA 11+ warm-up group (FWG) (n= 20). Anthropometric measurements, 10-20-30m sprint, zig-zag agility with and without the ball, vertical jump, sit and reach flexibility, Yo-Yo, star excursion balance and FMS tests were performed. “Wilcoxon Signed Rank Test” was used to determine the difference between the pretest and posttest of the participants. Results: 20 meters and 30 meters sprint, endurance skills and the FMS subtests in shoulder mobility and FMS total score improved in the posttest of GWG group. 10 m, 20 m, 30 m speed, agility, vertical jump, balance, endurance, flexibility and all FMS subtests and the FMS total scores improved in the posttest of FWG group. Conclusion: FIFA 11+ exercises in warm-up have a significant impact on athletic performance and Functional Movement Screen test scores.

The aim of this study is to estimate the teams’ league rankings at the end of the season by using different parameters peculiar to soccer with artificial neural networks (ANNs). In this study, the values belonging to stealing the ball, number of passes (pass on target, forward pass, and pass before goal scoring), number of possessions during the match, attack time resulting in the goal scoring and number of shots in 1140 competitions played in 2015/2016, 2016/2017, and 2017/2018 England Premier League seasons have been evaluated. Season ranking in the 2017/2018 season has been estimated by analyzing the data in the first two seasons (2015/2016, 2016/2017). All data have been separated randomly for training and test. League ranking has been modeled numerically as 0 and 1. Because the generated value is between 0 and 1, the league ranking has been obtained by multiplying this value by 100 for a trained network. Thanks to the ANN model developed by training and testing according to the findings, the training, validation, test, and all regression values of the English Premier League have been obtained as 0.99779, 0.98123, 0.96981, and 0.98769, respectively. With respect to this result, it has been seen that number of shot, stealing the ball, attack time, and number of possessions parameters are determinant in team ranking at the end of the season along with the other parameters in the England Premier League. We think that analyzing matches with the ANN model provides fast and objective results for team managers, trainers, athletes, and betting shops.