Ahmet Ozturk

Prof. Dr. Ahmet Ozturk

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2008 in Journal of Pediatric Endocrinology and Metabolism
Verified
Journal Article
Closed access
PDF file
AOAhmet Ozturk
Ahmet Ozturk
MMMümtaz M. Mazıcıoğlu
Mümtaz M. Mazıcıoğlu
NHN. Hatipoglu
N. Hatipoglu
NBN. Budak
N. Budak
GKG. Keskin
G. Keskin
SKS. Kurtoglu
S. Kurtoglu
To determine reference body mass index (BMI) curves for Turkish children 6 to 18 years old and to compare with BMI in other countries. A cross-sectional study conducted in Kayseri, Turkey. A total of 5,727 children (2,942 girls, 2,785 boys) aged between 6 and 18 years were selected to construct a reference curve using LMS method. BMI age reference charts of Turkish children were constructed. The 50th percentile curve of Turkish girls is lower than Italian and Turkish girls in The Netherlands but higher than Iranian girls. The 50th percentile curve of Turkish boys is lower than Italian and Turkish boys in The Netherlands and similar to Iranian boys after 13 years of age. BMI references of Turkish children are lower than in South East Europe, UK and North American populations, but higher than in Central European and Scandinavian countries.

29 October 2010 in Acta Paediatrica
Verified
Journal Article
Closed access
PDF file
MMMümtaz M. Mazıcıoğlu
Mümtaz M. Mazıcıoğlu
SKSelim Kurtoglu
Selim Kurtoglu
AOAhmet Ozturk
Ahmet Ozturk
NHNihal Hatipoglu
Nihal Hatipoglu
BCBetul Cicek
Betul Cicek
HUHasan Basri Ustunbas
Hasan Basri Ustunbas

6 March 2009 in Acta Paediatrica
Verified
Journal Article
Closed access
PDF file
AOAhmet Ozturk
Ahmet Ozturk
MMMümtaz M. Mazıcıoğlu
Mümtaz M. Mazıcıoğlu
SPS Poyrazoglu
S Poyrazoglu
BCB Cicek
B Cicek
OGO Gunay
O Gunay
SKS Kurtoglu
S Kurtoglu

5 July 2019 in Diagnostic and Interventional Radiology
Verified
Journal Article
Closed access
SGSureyya Burcu Gorkem
Sureyya Burcu Gorkem
ACAbdulhakim Coskun
Abdulhakim Coskun
MEMurside Eslik
Murside Eslik
MKMehmet Serdar Kutuk
Mehmet Serdar Kutuk
AOAhmet Ozturk
Ahmet Ozturk
Dir Journal Diagnostic and Interventional Radiology

19 August 2010 in Pediatric Nephrology
Verified
Journal Article
Closed access
PDF file
MMMümtaz M. Mazıcıoğlu
Mümtaz M. Mazıcıoğlu
BYBEKTAS MURAT YALCIN
BEKTAS MURAT YALCIN
AOAhmet Ozturk
Ahmet Ozturk
HUHasan Basri Ustunbas
Hasan Basri Ustunbas
SKSelim Kurtoglu
Selim Kurtoglu

18 October 2010 in Renal Failure
Verified
Journal Article
Closed access
PDF file
VSVesile Senol
Vesile Senol
MSMurat Hayri Sipahioglu
Murat Hayri Sipahioglu
AOAhmet Ozturk
Ahmet Ozturk
MAMahmut Argün
Mahmut Argün
CUCengiz Utaş
Cengiz Utaş
Background: Patients' health-related quality of life (HRQoL) is an important indicator for predicting the effectiveness of treatment, morbidity, and mortality. The aim of this study was to determine the level of HRQoL and the most important factors affecting HRQoL in patients receiving peritoneal dialysis (PD). Methods: This cross-sectional study was performed with 156 patients, 30 of whom (19.2%) had automated PD (APD), were over 18 years of age, and were followed up at the Erciyes University Continuous Ambulatory Peritoneal Dialysis (CAPD) Unit during the previous year. HRQoL, depression, and fatigue were measured by means of the Short Form-36 (SF-36), Beck Depression Inventory (BDI), and Fatigue Severity Scale (FSS), respectively. Results: The mean mental component summary (MCS) score was 42.1 ± 11.9 and physical component summary (PCS) score was 39.1 ± 11.2, which was lower than MCS. Depression was the strongest predictor for both diminished mental (β = −24.4, p < 0.001) and physical (β = −16.5, p < 0.001) HRQoL. Fatigue was the next strongest predictor for diminished physical HRQoL only (β = −7.74, p < 0.001). Depression and fatigue accounted for 37% of physical HRQoL impairment. Depression as a sole factor was responsible for 31% of mental HRQoL impairment. Age, hospitalization, total cholesterol, serum albumin levels, and Kt/V urea had affected the SF-36 in some domains score but not in all. Conclusion: HRQoL in our PD patients can be evaluated at a slightly poor level compared to the results of previous studies. Impaired HRQoL is more closely associated with depression and fatigue. Depression was the strongest predictor of both mental and physical HRQoL. Fatigue was the next strongest predictor for physical HRQoL only.