1.Psychometric Properties of Turkish Version of Pediatric Daytime Sleepiness Scale (PDSS-T).
Murat BEKTAS ; Ilknur BEKTAS ; Dijle AYAR ; Yasemin SELEKOGLU ; Ugur AYAR ; Aslı Akdeniz KUDUBES ; Sema Sal ALTAN ; Merry ARMSTRONG
Asian Nursing Research 2016;10(1):62-67
PURPOSE: The aim of the research was to evaluate the psychometric properties of the Pediatric Daytime Sleepiness Scale-Turkish Version (PDSS-T). METHODS: The researchers chose a study sample of 522 grade 5e11 students. Data were collected using a demographic data collection form and the PDSS-T. RESULTS: Cronbach a for the scale was .79 and Kaiser-Meyer-Olkin coefficient was .78. Item-total correlations for the scale varied between .53 and .73 (p < .001). The indices of model fit were determined to be the root mean square error of approximation at .07, the goodness of fit index at .97, and the comparative fit index at .97. CONCLUSIONS: The study's results showed that PDSS-T is a valid and reliable instrument for detecting Turkish-speaking children's and adolescents' daytime sleepiness. PDSS-T is convenient for professionals to prevent and manage daytime sleepiness.
Adolescent
;
Child
;
Cross-Sectional Studies
;
Disorders of Excessive Somnolence/*diagnosis
;
Female
;
Humans
;
Male
;
Psychometrics/*instrumentation
;
Reproducibility of Results
;
Severity of Illness Index
;
Surveys and Questionnaires
;
Translations
;
Turkey
2.Association of Personality Traits and Risk of Internet Addiction in Adolescents.
Candan OZTURK ; Murat BEKTAS ; Dijle AYAR ; Beste Ozguven OZTORNACI ; Dilek YAGCI
Asian Nursing Research 2015;9(2):120-124
PURPOSE: This cross-sectional, descriptive study analyzes the association between personality traits and internet addiction in adolescents. METHODS: The study was conducted with 328 adolescents attending two high schools in the Aegean region of Turkey. The data were collected using a sociodemographic information questionnaire, the Internet Addiction Scale and the Adjective Based Personality Scale from students who gave their informed consent to participate. Data were assessed by descriptive statistics, t tests, and logistic regression analysis, using SPSS software. RESULTS: The students had an average age of 16.43 +/- 1.47 years and 40.5% were female. The percentage of subjects at risk of internet addiction was 15.9% (n = 52), and 42.4% (n = 22) of them reported that the amounts of time they spent online was acceptable. We found statistically significant differences in the average subdimensional scores for extraversion (t = 2.310, p < .050) and openness to experience (t = 3.35, p < .001), and between students at risk of internet addiction (n = 52) and those who were not (n = 276). CONCLUSIONS: Adolescents who were found to be at risk of internet addiction nevertheless reported on the survey questionnaires that the amount of time they spent online was acceptable. The study determined that participants' risk of internet addiction was associated with their levels of extraversion and openness to experience.
Adolescent
;
Adolescent Behavior/*psychology
;
Behavior, Addictive/*psychology
;
Cross-Sectional Studies
;
Female
;
Humans
;
*Internet
;
Male
;
*Personality
;
Risk Assessment
;
Risk Factors
;
Surveys and Questionnaires
;
Turkey