Hakan Baydur

Prof. Hakan Baydur

Manisa Celal Bayar University, Faculty of Health Sciences, Manisa, Turkey (Türkiye)
orcid
Associate Professor

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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1 February 2020 in Complementary Therapies in Clinical Practice
Verified
Journal Article
Closed access
DÇDilruba Çelebi
Dilruba Çelebi
EYEmel Yılmaz
Emel Yılmaz
SŞSemra Tutcu Şahin
Semra Tutcu Şahin
HBHakan Baydur
Hakan Baydur

1 January 2012 in International Journal for Equity in Health
Verified
Journal Article
Open access
PDF file
KSKaan Sozmen
Kaan Sozmen
HBHakan Baydur
Hakan Baydur
HSHatice Simsek
Hatice Simsek
BÜBelgin Ünal
Belgin Ünal
This study aimed to measure socioeconomic inequalities in Self Assessed Health (SAH) and evaluate the determinants of such inequalities in terms of their contributions amongst the Turkish population.

1 May 2016 in Journal of Occupational Health
Verified
Journal Article
Open access
HBHakan Baydur
Hakan Baydur
AEAlp Ergör
Alp Ergör
YDyucel demiral
yucel demiral
EAElif Akalın
Elif Akalın
Objective: To evaluate the participatory ergonomic method on the development of upper extremity musculoskeletal disorders and disability in office employees.Methods: This study is a randomized controlled intervention study. It comprised 116 office workers using computers. Those in the intervention group were taught office ergonomics and the risk assessment method. Cox proportional hazards model and generalized estimating equations (GEEs) were used.Results: In the 10‐month postintervention follow‐up, the possibility of developing symptoms was 50.9%. According to multivariate analysis results, the possibility of developing symptoms on the right side of the neck and in the right wrist and hand was significantly less in the intervention group than in the control group (p<0.05). Neck disability/symptom scores over time were significantly lower in the intervention group compared with the control group (p<0.05).Conclusion: The participatory ergonomic intervention decreases the possibility of musculoskeletal complaints and disability/symptom level in office workers.

1 January 2010
Verified
Journal Article
Closed access
SESultan Eser
Sultan Eser
GSGül Saatli
Gül Saatli
EEErhan Eser
Erhan Eser
HBHakan Baydur
Hakan Baydur
CFCaner Fidaner
Caner Fidaner

1 January 2016 in Anatolian Journal of Psychiatry
Verified
Journal Article
Closed access
PDF file
HBHakan Baydur
Hakan Baydur
DEDilek Ergin
Dilek Ergin
GGGul Gerceklioglu
Gul Gerceklioglu
EEErhan Eser
Erhan Eser

21 October 2016 in SpringerPlus
Verified
Journal Article
Open access
PDF file
SESultan Eser
Sultan Eser
TGTuncay Göksel
Tuncay Göksel
AEAhmet Emin Erbaycu
Ahmet Emin Erbaycu
HBHakan Baydur
Hakan Baydur
BBBurcu Başarık
Burcu Başarık
EEErhan Eser
Erhan Eser
Our purpose is to examine the relationship of Health related quality of life measured by EORTC QLQc30, QLQ-LC13; FACT-L, LCSS, Eq5D) with survival in advanced lung cancer patients. A total of 299 Lung Cancer (LC) patients were, included in this national multicenter Project entitled of “the LC Quality of Life Project (AKAYAK). Baseline scores were analyzed by using Cox’s proportional hazard regression to identify factors that influenced survival. Univariate and multivariate models were run for each of the scales included in the study. Mean and median survival were 12.5 and 8.0 months respectively. Clinical stage (as TNM), comorbidity; symptom scales of fatigue, insomnia, appetit loss and constipation were associated with survival after adjustment for age and sex. Global, physical and role functioning scales of QLQc30; physical and functional scales of LCS and TOI of the FACT-L was also associated with survival. Mobility and Usual activities dimensions of the Eq5D; Physical functioning and the constipation symptom scale of the QLQ-c30; and LCS and TOI scores of the FACT-L remained statistically significant after adjustment. LC13 and LCSS scales were not predictors of survival. HRQOL serves as an additional predictive factor for survival that supplements traditional clinical factors. Besides the strong predictive ability of ECOG on survival, FACT-L and the Eq5D are the most promising HRQOL instruments for this purpose.