0-18 yaş çocuk ve adolesanlarda büyüme eğrileri

Öztürk, Ahmet

doi:10.2399/tahd.11.112

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…Further arm anthropometric indices of arm muscle area (AMA), arm fat area (AFA), and arm area (AA) were calculated according to the following formulas: AMA (cm 2 ) = (MUAC − π TSF) 2 /4 π ; AA (cm 2 ) = π /4 × (MUAC/ π ) 2 ; AFA (cm 2 ) = AA − AMA 6 . For calculating the standard deviation scores ( z scores) for age and gender, we used local reference values for body weight, height/length, BMI, and arm anthropometric indices of healthy children and adolescents reported by a series of anthropometric studies conducted in our country 6–8 . To compare with the local references, we also calculated the BMI z scores of all cases using the World Health Organization (WHO)‐2006 reference values 9 ; BMI z scores obtained with both references were highly correlated ( R = 0.96, P < .001).…”

Section: Methodsmentioning

confidence: 99%

Assessment of nutritional status in children with cancer: Significance of arm anthropometry and serum visceral proteins

Yaprak

Yalçın

Pınar

et al. 2020

Pediatric Blood & Cancer

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Section: Methodsmentioning

confidence: 99%

Assessment of nutritional status in children with cancer: Significance of arm anthropometry and serum visceral proteins

Yaprak

Yalçın

Pınar

et al. 2020

Pediatric Blood & Cancer

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“…2 Bel çevresi değerlerine göre %95 persantil üzerindekiler hesaplandı. 10 Araştırmada istatistiksel analizler için SPSS (Statistical Package for Social Sciences) for Windows Version 18 paket programı kullanıldı. Sayısal verilerin normallik analizi Shapiro Wilk testi ile yapıldı.…”

Section: Materyal Ve Metotunclassified

Determination of the frequency and the affecting factors of obesity in school age children and adolescents in a rural area in Sivas Province

Ağadayı¹,

Çelik²,

Çetinkaya³

et al. 2019

Ankara Medical Journal

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Öz Amaç: Amacımız Sivas ili kırsalında bulunan bir ilçede, 6-18 yaş okula giden çocuk ve adölesanların obezite sıklığını belirlemek ve buna etki eden faktörleri tespit etmektir. Materyal ve Metot: Tanımlayıcı kesitsel tipteki çalışmamızın evrenini Sivas Akıncılar ilçesinde eğitim gören 485 öğrenci oluşturmakta idi. Çalışma 1-8 Haziran 2018 tarihinde, çalışmaya katılmayı kabul eden ve çalışmaya dahil edilme kriterlerini karşılayan 449 öğrenci üzerinde gerçekleştirildi. Onam formunu imzalayan velilerin çocuklarının boy, kilo, bel çevresi ve kalça çevresi araştırmacı tarafından ölçüldü ve 24 sorudan oluşan standardize anket formu velilere ulaştırıldı. Ölçümlerin değerlendirilmesinde Olcay Neyzi standartları (ulusal çalışma verileri ile oluşturulan) ve Centers for Disease Control and Prevention, CDC standartları kullanıldı.

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“…The standardized percentile curves for Turkish children were used to evaluate the waist circumference percentiles [ 28 ]. Fat percentage percentile values, which are recommended for use in assessing mildly obese and obese children in clinical practice, were calculated using percentile curves for Turkish children and adolescents [ 29 ]. Those with body fat percentiles below 2 were classified as underfat, between 2 and 85 as normal, between 85 and 94 as overfat, and 95 and above as obese.…”

Section: Methodsmentioning

confidence: 99%

The potential of the Mediterranean diet to improve metabolic control and body composition in youths with Type 1 Diabetes Mellitus

Güneş Kaya,

Arslan,

Ayyıldız

et al. 2024

BMC Endocr Disord

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Background A chronic autoimmune disease with an increasing incidence rate, type 1 diabetes mellitus (T1DM) is typified by the degeneration of the pancreatic beta cells. Diabetes management is significantly impacted by nutrition. Although it has been demonstrated that following the Mediterranean diet (MD) improves metabolic control with type 2 diabetes in children and adults, its effects on children with T1DM have not received much attention. Objective Therefore, the purpose of this study was to assess whether adherence to Mediterranean diet is associated with better metabolic control and body composition in youths with Type 1 Diabetes Mellitus. The study recruited T1DM patients aged 6-18 years at İstanbul University Cerrahpaşa Medical Faculty Hospital's Pediatric Endocrinology and Diabetes Outpatient Clinic for follow-up. Methods In addition to demographic variables, some anthropometric measurements, body composition and biochemical parameters such as: Trygliceride(TG), Total cholesterol (TC), High density lipoprotein cholesterol (HDL-C), Low density lipoprotein cholesterol (LDL-C), (Aspartate aminotransferase) AST, Alanine transaminase (ALT) and glycated hemoglobin (HbA1c) was analyzed. The time in range (TIR) is a value obtained from continuous glucose monitoring. KIDMED was used to assess the participants' adherence with the MD. Results Good adherence to the MD resulted in much larger height SDS than poor adherence. Poor adherence to MD resulted in higher body fat than moderate and good adherence. There is positivite correlation between TIR and KIDMED score. Adherence to MD is negatively associated with HbA1c. The regression anaylsis showed that a one-point rise in the KIDMED score would result in a 0.314-unit reduction in the HbA1c value (p < 0.01). Conclusions In conclusion, this study found that adhering to MD led to improved anthropometric measurements, biochemistry, and diabetes outcomes. Awareness among children, adolescents with T1DM, and their parents about the benefits of MD compliance for glycemic and metabolic control should be raised.

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0-18 yaş çocuk ve adolesanlarda büyüme eğrileri

Cited by 11 publications

References 15 publications

Assessment of nutritional status in children with cancer: Significance of arm anthropometry and serum visceral proteins

Assessment of nutritional status in children with cancer: Significance of arm anthropometry and serum visceral proteins

Determination of the frequency and the affecting factors of obesity in school age children and adolescents in a rural area in Sivas Province

The potential of the Mediterranean diet to improve metabolic control and body composition in youths with Type 1 Diabetes Mellitus

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