İçeriğe geç
akaturk Akademik ölçüm

Makale detayı · 2006

Akran zorbalığına maruz kalmanın yaş çocuk yetiştirme stilleri ile benlik algısı tarafından yordanma gücü

Dergi

Türk Psikoloji Dergisi

ISSN 8755-6863

ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.

YÖKSİS OpenAlex Açık erişim · hybrid SJR Q1 JCR Q2 Atıf 35 Yüzdelik 89.9% FWCI 2.44
Yıl
2006
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı Türk Psikoloji Dergisi
  • Katalog eşleşmesi (ISSN) Pediatric Pulmonology
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

BACKGROUND: A crucial balance exists between oxidant and antioxidant mechanisms in the functional immune system. We aimed to evaluate the contributions of balance between these systems to coronavirus disease 2019 (COVID-19), a devastating pandemic caused by viral infection. METHOD: We analyzed serum oxidant and antioxidant stress parameters according to the clinical and demographic characteristics of children and adults with COVID-19 and compared them against the values of healthy controls. Serum native thiol (NT), total thiol (TT), disulfide, total antioxidant status, total oxidant status, and ischemia-modified albumin levels were evaluated and compared between groups. RESULTS: A total of 79 children and 74 adults were evaluated in the present study, including 46 children and 40 adults with COVID-19, 33 healthy children, and 34 healthy adults. TT, NT, and disulfide levels were significantly lower in the adult COVID-19 group than in all other groups (p = .001, p = .001, and p = .005, respectively). Additionally, TT and NT levels were significantly lower in both pediatric and adult COVID-19 cases with severe disease course than mild/moderate course. TT and NT levels were identified as predictors for the diagnosis of the adult COVID-19 cases and as independent predictors for disease severity in both children and adults with COVID-19. CONCLUSION: Parameters that reveal the oxidant and antioxidant capacity, including TT and NT, appear to be good candidates for the accurate prediction of the clinical course among patients with COVID-19.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

35 atıf

OpenAlex cited_by_count (önbellek / veritabanı)

Yazarlar

  1. Şirvanlı Özen Dilek
  2. ALİ BÜLENT CENGİZ HACETTEPE ÜNİVERSİTESİ
  3. FATMA ŞEBNEM ERDİNÇ ALTINBAŞ ÜNİVERSİTESİ
  4. DİLEK ÖZEN ALTINBAŞ ÜNİVERSİTESİ