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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Breast cancer,Lifestyle,Gail model risk assessment,Depression and anxiety
- چکیده:
- چکیده انگلیسی: Background: There has been substantial interest in developing methods to predict the risk of breast cancer.
The Gail model is one the first model have been widely used to identify women at higher risk of breast cancer. Aim: This
study aimed to determine the 5-year and the general life-time risk of breast cancer and also to determine breast cancer
predictors in women using the Gail model. Methods: We used the Gail model to estimate the risk of breast cancer
in female Turkish outpatients aged above 35 years in this cross-sectional study. Age, life-style habits, breast-feeding
duration, family history of breast cancer, and body mass index were compared between high and low-risk subjects.
We have performed the Patient Health Questionnaire 9-item (PHQ-9) and the Generalized Anxiety Disorder 7-item
(GAD-7) tools on patients regarding depression and anxiety. We also assessed the association of these covariates with
the estimated risk of breast cancer in multivariate linear regression analysis. Results: We enrolled 1065 subjects with
a mean age of 52.9 ± 8.4 years. The mean of the five-year risk for breast cancer was 1.33%±0.6. Meanwhile, the mean of
lifetime risks for breast cancer was 10.15%±3.18, respectively. Nearly one-third of the participants had one child,
55.9% had breast-fed their children more than six months. Meanwhile, 18.5% of the subjects had a high depression
score, 15.2% had a high anxiety score. Higher age, age at first birth, and parity; lower age at menarche; presence of
menopause and family history of breast cancer were higher in the high-risk group. Higher age, and age at first birth;
lower age at menarche; family history of breast cancer, presence of menopause, and parity were independently associated
with higher breast cancer risk. Conclusion: We identified certain risk factors for breast cancer in our study population
and Gail model is a reliable and useful breast cancer risk prediction model for clinical decision-making. This study
contributes to the body of evidence in order to facilitate early detection and better plan for possible malignancies in
Turkish population.- انتشار مقاله: 20-08-1397
- نویسندگان: Abdulbari Bener,Cem Cahit Barışık,Ahmet Acar,Yaşar Özdenkaya
- مشاهده
- جایگاه : پژوهشی
- مجله: Addiction and Health
- نوع مقاله: Journal Article
- کلمات کلیدی: Addiction,Psychometrics,Internet,Disorders,Turkey
- چکیده:
- چکیده انگلیسی: Background: The aim of the present study was to determine the prevalence of disordered internet use among
adolescent university students and its association with various health complaints and behaviours, and most
importantly to examine the psychometric properties of 9-item Internet Disorder Scale-Short Form (IDS9-SF)
using factor analyses and Rasch analysis.
Methods: A total of 1988 university students aged 18 to 25 years were selected via a multi-stage stratified
random sampling technique among university students in Istanbul, Turkey (September 2017 to February
2018). Data collected included socio-demographics, lifestyle and dietary habits, and the 9-item IDS9-SF.
Statistical analysis included descriptive statistics, multivariate analyses, factor analyses, path analysis, and
Rasch analysis.
Findings: Using confirmatory factor analysis (CFA), the study investigated the latent structure of the IDS9-SF
instrument and results supported its reliability and validity. The prevalence of disordered internet use was
18.3% in the sample. There were significant differences between those who had disordered internet use and
those who did not in gender, family income, school performance, number of bedrooms at home, and number
of people living at home, as well as internet use duration. Using multivariate regression analysis, key
predictors of disordered internet use included (among others): gender, body mass index (BMI), household
income, number of people living at home, having a computer at home, internet facilities, duration of internet
use, sleeping hours, frequency of eating fast food, watching television, headache, hurting eyes, tired eyes, and
hearing problems. Rash analysis demonstrated that four of the nine items (2, 3, 6, and 7) were more difficult
for individuals to endorse compared to other items.
Conclusion: Problems arising from excessive internet use were apparent among the study sample and the
IDS9-SF is a valid and reliable measure for assessing disordered internet use among Turkish adolescent
population
- انتشار مقاله: 17-09-1398
- نویسندگان: Abdulbari Bener,Mark D Griffiths,Nuket Guler Baysoy,Funda Catan,Eray Yurtseven
- مشاهده