Background: During a pandemic, the occurrence of infections and case fatality rates are expected to vary from one country to another due to several variables such as poverty, existing comorbidities, population density, access to health care, availability and quality of health system resources, and environmental factors.Objectives: Our aim is to investigate the relationship between various demographic and socioeconomic factors and reported COVID‐19 morbidity and mortality indicators in different countries. Also, to determine the position of the countries relative to each other in terms of three indicators including COVID‐19 cases, deaths and tests.Methods: Canonical correlation analysis is used to investigate the intercorrelations between independent variables and the COVID‐19 cases and deaths for 92 countries. Countries' performances are measured by MULTIMOORA.Results: Human Development Index, smoking habits, percentage of elderly population and test frequency are the most significant variables associated with COVID‐19 morbidity and mortality according to our study findings. Singapore, New Zealand and Australia are the best performed countries.Conclusions: Several significant and unexpected associations exist between socioeconomic factors and the COVID‐19 cases and deaths. Singapore, New Zealand and Australia are surrounded by water, have been more successful in the pandemic process compared to other countries.

Background and Objectives: Irisin is an adipo-myokine with potential metabolic effects in the body, and its association with childhood obesity is still controversial. This study aimed to investigate the relationship between serum irisin levels and anthropometric parameters, body composition, metabolic profiles, leptin, and adiponectin in obese and normal-weight children. Methods: The study sample consisted of a total of 80 children aged 6–10, including 44 obese children (BMI ≥ 97th percentile) and 36 normal-weight children. Anthropometric parameters were measured. Body composition was determined with the use of the Bioelectrical Impedance Analysis (BIA) method. Metabolic profiles, as well as irisin, leptin, and adiponectin levels, were analyzed. Results: Anthropometric parameters and body composition were found to be significantly different between the obese and normal-weight groups (p < 0.05). Fasting blood glucose, insulin, HOMA-IR, and leptin levels were found to be significantly higher in the obese group, while the normal-weight group had significantly higher HDL cholesterol and adiponectin levels (p < 0.05). Serum irisin levels did not differ between the obese and normal-weight groups, or based on sex, vitamin D levels, and insulin resistance status. There was also no statistically significant correlation between serum irisin levels and anthropometric parameters, metabolic profile, leptin, and adiponectin. Conclusions: The study concluded that the obese children who participated in this study had high leptin levels and low adiponectin levels, with no significant difference in the irisin levels between the groups. More comprehensive clinical studies are needed to investigate the relationship between irisin and adipokines in children.

Küresel olarak sağlık harcamaları büyük bir artış trendi içindedir. Ancak sağlık hizmetlerine ayrılan kaynaklar sınırlıdır ve bu durum sistem düzeyinde verimliliğe yönelik tedbirleri zorunlu kılmaktadır. Araştırmanın amacı, 2003 ve 2019 yıllarına ait sağlık göstergeleri ile Ekonomik İş Birliği Örgütü ve Kalkınma Örgütü (OECD) ülkelerinin sağlık sistemi verimliliğini incelemektir. Çalışmada, Türkiye’nin sağlıkta dönüşüm öncesi ve devam eden süreçte OECD ülkeleri arasındaki verimlilik düzeyinin nasıl değişim gösterdiği de gözlemlenmiştir. OECD ülkelerinin sağlık sistemi verimlilik düzeylerinin belirlenmesinde, girdi odaklı Charnes, Cooper ve Rhodes (CCR) ve Banker, Charnes ve Cooper (BCC) Veri Zarflama Analizi (VZA) kullanılmıştır. Girdi ve çıktı değişkenleri arasındaki ilişki korelasyon analizi ile test edilmiş, verimli ve verimsiz ülkelerin girdi ve çıktı değişkenleri bakımından karşılaştırmaları Mann Whitney U testi ve bağımsız örneklem t testi ile incelenmiştir. VZA sonuçlarına göre, 2003 yılında 11 ülke toplam verimli (CCR), 13 ülke teknik verimli (BCC), 11 ülke ölçek verimli, 2019 yılında 5 ülke toplam verimli, 8 ülke teknik verimli, 5 ülke ölçek verimli olarak bulunmuştur. Türkiye 2003 ve 2019 yılı verilerine göre, hem CCR hem de BCC analiz modellerinde verimli çıkmıştır.