Aslı Akdeniz Kudubeş

Symptom Frequency of Children with Cancer and Parent Quality of Life in Turkey

BACKGROUND This research was planned with the aim of determining the effect of symptom frequency of children with cancer on the quality of life of their parents. MATERIALS AND METHODS In gathering the research data, the Child and Parent Information Form, the Symptom Evaluation Form and the Family Version of Life Quality Scale in Cancer Patients were used. Evaluation was made by using percentage calculations, Kruskal Wallis test, Bonferroni adjusted t-test and Bonferroni adjusted Mann-Whitney U test. The significance level was accepted as 0.005. RESULTS Some 37.6% of the participant children were female and 62.4% were male, with an average age of 10.2 ± 4.5. While 41.0% were newly diagnosed, 46.2% were in remission and 12.8% was in relapse. Highly significant differences were detected according to the symptom frequency with parent physical and psychological health, social anxiety, and spiritual wellness sub-dimensions, as well as total point averages. CONCLUSIONS It is thought that following up the symptoms that might develop depending on cancer diagnosis and treatment and implementing nursing initiatives aimed at reducing the symptoms, knowing the importance of life quality, maintaining measures aimed at life quality and planning initiatives to increase the life quality will play a key role in maintaining and developing the health of Turkish paediatric oncology patients and their parents.

Developing scales for the assessment of fatigue in Turkish pediatric oncology patients aged 13-18 and their parents.

BACKGROUND This study was planned in an attempt to develop scales for the assessment of fatigue in pediatric oncology patients aged 13-18 and also for their parents. MATERIALS AND METHODS In collecting the study data, we used the Child and Parent Information Form, Visual Fatigue Scale, Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 13-18 and the Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 13-18 for Parents. We also used Pearson correlation analysis, Cronbach alpha coefficient, factor analysis and ROC analysis for the study data. RESULTS In this study, the total Cronbach alpha value of the parent form was 0.99, the total factor load was 0.72-0.94 with 95% the total variance being explained. The cutoff point of the parent form is 73 points. The total Cronbach alpha value of the child form was 0.99, the total factor load was 0.82-0.95, with 89.4% of the total variance being explained. The cutoff point of the child form was 75.5 points. CONCLUSIONS This study suggests that the Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 13-18 and the Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 13-18 for Parents are valid and reliable instruments in assessing the fatigue symptoms of children in Turkey.

Developing a scale for the assessment of fatigue in pediatric oncology patients aged 7-12 for children and parents.

BACKGROUND This study was planned in an attempt to develop scales for the assessment of fatigue in pediatric oncology patients aged 7-12 as well as for their parents. MATERIALS AND METHODS In collecting the study data, we used the Child and Parent Information Form, Visual Fatigue Scale, Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 7-12 and the Scale for the Assessment of Fatigue in Pediatric Oncology Patients Aged 7-12 for Parents. We also used Pearson correlation analysis, the Cronbach Alpha coefficient, Factor Analysis and ROC Analysis for the study data. RESULTS In this study, the total Cronbach alpha value of the parent form was 0.95, the total factor load was 0.52-0.95 and the total variance being explained was 85.7%. The cutoff point of the parent form was 82 points. The total Cronbach alpha value of the child form was 0.98, the total factor load was 0.71-0.94 and the total variance being explained was 84.7%. The cutoff point of the child form was 75 points. CONCLUSIONS This study suggests that our scales for the assessment of fatigue in pediatric oncology patients aged 7-12 and their parents are valid and reliable instruments.

Developing the Scale for Quality of Life in Pediatric Oncology Patients Aged 13–18: Adolescent Form and Parent Form

PURPOSE This study aimed to develop the Scale for Quality of Life in Pediatric Oncology Patients Aged 13-18: Adolescent Form and Parent Form. METHODS We used the child and parent information form, Visual Quality of Life Scale, and our own scale, the Scale for Quality of Life in Pediatric Oncology Patients Aged 13-18: Adolescent Form and Parent Form. We finalized the 35-item scale to determine the items, received opinions from 14 specialists on the scale, and pilot-tested the scale in 25 children and their parents. We used Pearson correlation analysis, Cronbach α coefficient, factor analysis and receiver operating characteristics analysis to analyze the data. RESULTS The total Cronbach α of the parent form was .97, the total factor load was .60-.97 and the total variance was 80.4%. The cutoff point of the parent form was 85.50. The total Cronbach α of the adolescent form was .98, the total factor load was .62-.96, and the total variance explained was 83.4%. The cutoff point of the adolescent form was 75.50. As a result of the parent form factor analysis, we determined the Kaiser-Meyer-Olkin coefficient as .83, the Barlett test χ(2) as 12,615.92; the factor coefficients of all items of the parent form ranged from .63 to .98. The factor coefficients of all items of the adolescent form ranged from .34 to .99. As a result of the adolescent form factor analysis, we determined the KMO as .79, and the Barlett test χ(2) as 13,970.62. CONCLUSIONS Conclusively, we found that the adolescent form and the parent form were valid and reliable in assessing the childrens quality of life.

Developing a Scale for Quality of Life in Pediatric Oncology Patients Aged 7-12 - Children and Parent Forms

BACKGROUND This study was planned in an attempt to develop a scale for the quality of life in pediatric oncology patients aged 7-12, with child and parents forms. MATERIALS AND METHODS In collecting the study data, we used the Child and Parent Information Form, Visual Quality of Life Scale, Scale for Quality of Life Pediatric Oncology Patients Aged 7-12 and the Scale for the Quality of Life in Pediatric Oncology Patients Aged 7-12 for Parents. We also used Pearson correlation analysis, the Cronbach alpha coefficient, factor analysis and ROC analysis for the study data. RESULTS In this study, the total Cronbach alpha value of the parent form was 0.96, the total factor load being 0.54-0.90 and the total variance explained was 82.5%. The cutoff point of the parent form was 93 points. The total Cronbach alpha value for the child form was 0.96, with a total factor load of 0.55-0.91 and the total variance being explained was 78.3%. The cutoff point of the child form was 65 points. CONCLUSIONS This study suggests that the Scale for Quality of Life in Pediatric Oncology Patients Aged 7-12 Child and Parents Forms are valid and reliable instruments in assessing the quality of life of children.

The psychometric properties of the Turkish version of the smoking outcome expectation scale and the anti-smoking self-efficacy scale for early adolescents

ABSTRACT This study aimed to analyze the validity and reliability of the Smoking Outcome Expectation Scale and Anti-Smoking Self-Efficacy Scale for Early Adolescents in Turkey. The sample of the study included a total of 548 students. The data were collected using a demographic data collection form, the Smoking Outcome Expectation Scale, and the Anti-Smoking Self-Efficacy Scale (ASSES) for Early Adolescents. ASSES consists of 15 items, and SOES consists of six items. The Cronbach’s alpha coefficients of the ASSES section and its subscales were .93, .94, .89, and .75, respectively. These values were found to be.70, .85, and .91 in the SOES section and its subscales. Both sections’ test–retest correlation coefficients were found to be higher than .25 for all items. The factor loads ranged between .45 and .76 in the ASSES section and between .87 and .95 in the SOES section. The goodness-of-fit indices of both sections were above .90, and their root mean square error of approximation (RMSA) values was <.08. These results indicate that the scale is a valid and reliable tool for use with early adolescents in Turkey.

Effect of Fatigue on Quality of Life in Pediatric Oncology Patients

96 ©Telif Hakkı 2017 Ege Üniversitesi Tıp Fakültesi Çocuk Sağlığı ve Hastalıkları Anabilim Dalı ve Ege Çocuk Vakfı The Journal of Pediatric Research, Galenos Yayınevi tarafından basılmıştır. Ya z›fl ma Ad re si/Ad dress for Cor res pon den ce Dr. Aslı Akdeniz Kudubeş, Dokuz Eylül Üniversitesi Hemşirelik Fakültesi, Çocuk Sağlığı ve Hastalıkları Hemşireliği Anabilim Dalı, İzmir, Türkiye Tel.: +90 232 412 47 65 E-posta: asliakdeniz@hotmail.com ORCID ID: orcid.org/0000-0002-0911-8182 Ge liş ta ri hi/Re cei ved: 16.06.2015 Ka bul ta ri hi/Ac cep ted: 26.11.2015 Effect of Fatigue on Quality of Life in Pediatric Oncology Patients

The Effect of Adolescents’ Internet Addiction on Smartphone Addiction

Objective: The purpose of this study was to evaluate the effect of adolescents’ Internet addiction levels on smartphone addiction. Methods: This study included 609 students from three high schools that are located in western Turkey. Numbers, percentages, and averages were used to evaluate the sociodemographic data. The Kolmogorov–Smirnov and Shapiro–Wilk tests were used to determine whether the data had a normal distribution. Results: The average age of the participants was 12.3 ± 0.9 years. Of them, 52.3% were male, and 42.8% were 10th graders. All participants had smartphones, and 89.4% of them connected to the Internet continuously with their smartphones. The study found that there was a statistically significant correlation between Internet addiction and smartphone addiction. Originality and Value: It was determined that male adolescents with high levels of Internet addiction also had high smartphone addiction levels. On the other hand, sociodemographic variables had no statistically significant effect on smartphone addiction. A number of studies in the relevant literature examined the effects of Internet addiction on adolescents’ smartphone addiction. However, findings of this study are unique because they are specific to the Turkish culture, and there is a limited database in Turkey regarding this issue. The researchers believe that the findings of this study will be beneficial to show the importance of the issue in the international arena and to guide further studies to prevent this addiction because there is no reliable database about smartphone addiction in Turkey.

The effect of symptom frequency on the fatigue and sleep quality of adolescent cancer patients

ABSTRACT This study was performed in order to determine the effects of frequency of symptoms of adolescents with cancer on sleeping quality and fatigue. In order to collect the data, the Children Information Form, Symptom Evaluation Form, the Fatigue Assessment Scale for Pediatric Oncology Patients Between the Ages of 13 and 18 years, and the Pittsburgh Sleep Quality Index (PSQI) were used. Percentage calculations, mean, one-way variance analysis, and advanced analysis such as Scheffe tests were used. p < 0.05 was accepted as the significance. As the symptom frequencies increased in adolescents, total fatigue scale and its subdimension scores decreased and sleep quality total scores increased. There was a low relationship between the scores of symptom frequency and fatigue scale, there was a moderate association between scores of symptom frequency and the sleep quality scale scores, and there was a high relationship between the scores of fatigue (p < 0.001). As the symptom frequencies increased in adolescents, total fatigue scale and its subdimension scores decreased and sleep quality total scores increased.