Determination of cyberloafing level of speech and Language Therapy Department students.

Cyberloafing is the use of (e.g. smartphones, tablets, laptops, and the Internet) for purposes other than work related reasons during work hours. Although cyberloafing in the workplace has been widely investigated, there is relatively a small number of studies on cyberloafing behaviors in educational settings, which refer to students' tendencies to use technology for non-class-related purposes during lectures. The goal of the current study is to determine how frequently and for what purposes speech and language therapy (SLT) students at Biruni University engage in cyberloafing during lectures. In this quantitative study, The Cyberloafing Scale was administered to 264 undergraduate students (235 female; 27 male; 2 preferred not to disclose). The results revealed that SLT students' cyberloafing behavior was very high. However, there is no statistically significant difference between the gender variable and the overall mean score for cyberloafing. There is a statistically significant difference between genders in gaming/gambling subscale favoring males and in shopping subscale favoring females. Further studies should be conducted to analyze cyberloafing behavior in health education.

Validity and Reliability Study of Online Cognitive Tracking Software (BEYNEX).

Background: Detecting cognitive impairment such as Alzheimer's disease early and tracking it over time is essential for individuals at risk of cognitive decline. Objective: This research aimed to validate the Beynex app's gamified assessment tests and the Beynex Performance Index (BPI) score, which monitor cognitive performance across seven categories, considering age and education data. Methods: Beynex test cut-off scores of participants (n = 91) were derived from the optimization function and compared to the Montreal Cognitive Assessment (MoCA) test. Validation and reliability analyses were carried out with data collected from an additional 214 participants. Results: Beynex categorization scores showed a moderate agreement with MoCA ratings (weighted Cohen's Kappa = 0.48; 95% CI: 0.38-0.60). Calculated Cronbach's Alpha indicates good internal consistency. Test-retest reliability analysis using a linear regression line fitted to results yielded R∧2 of 0.65 with a 95% CI: 0.58, 0.71. Discussion: Beynex's ability to reliably detect and track cognitive impairment could significantly impact public health, early intervention strategies and improve patient outcomes.

Turkish adaptation, reliability, and validity of the detection test for language impairments in adults and the aged.

There is no quick, valid, and reliable screening tool in Turkish that can be used for screening language disorders associated with major neurocognitive disorders (MND). To fill this gap, we designed three distinct studies. In the first study, we adapted the Detection Test for Language Impairments in Adults and the Aged into the Turkish language (DTLA-Tr). In the second study, we collected data from 175 Turkish individuals to determine the normative data of the DTLA-Tr. In the last study, we investigated the psychometric properties of the DLTA-Tr by comparing 17 healthy individuals with 17 patients with Alzheimer's disease and determining its test-retest reliability. As a result of Study 1, the DTLA was adapted to the Turkish adult population. In Study 2, the normative data of the DTLA-Tr were provided. The results of this study indicated a positive correlation between educational level and DTLA-Tr total score. The results of Study 3 showed that the DTLA-Tr has high predictive validity and good test-retest reliability. The DTLA-Tr is a valid and reliable tool for assessing language abilities in both adults and the elderly. The findings of this study have significant implications for the evaluation of language in Turkish-speaking patients with MND.

Validation and reliability study of the Turkish version of the everyday cognition - 12 (T- ECog) scale.

OBJECTIVE: Assessing the activities of daily living (ADL) is important in cognitive impairment. The everyday cognition scale includes 12 items (ECog-12). It evaluates complex ADLs and executive functions. This scale can differentiate healthy elderly people from patients with mild cognitive impairment (MCI) as well as MCI from dementia patients. Our aim is to validate a Turkish version of ECog-12. METHODS: The study group consisted of 40 healthy elders, 40 patients with Alzheimer's disease (AD), and 40 patients with MCI. In addition to T-ECog-12, test - your memory- Turkish version (TYM-TR), Geriatric Dementia Scale (GDS), the Blessed orientation-memory-concentration (BOMC), and Katz ADL tests were administered to all participants for concurrent validity. RESULTS: Cronbach's alpha test showed excellent internal consistency (0.93). When T-ECog-12 was compared to the other tests, strong positive correlations were found between the GDS and BOMC; in addition, strong negative correlations were found between Katz ADL and TYM-TR scale. ECog-12 was found to be sensitive in differentiating healthy individuals from individuals with dementia (AD and MCI) (Area under the curve [AUC]=0.82, Cl=0.74-0.89). It was found to have low sensitivity in discriminating between MCI and healthy individuals (AUC=0.52, Cl=0.42-0.63). CONCLUSION: T-ECog-12 was found to be reliable and valid for Turkish population. This scale is reliable and effective in diagnostic distinguishing healthy individuals from dementia.

Neuropsychiatric Effects of COVID-19 Pandemic on Alzheimer's Disease: A Comparative Study of Total and Partial Lockdown.

Objectives: Coronavirus disease 2019 (COVID-19)-related lockdown may have a negative effect on the neuropsychiatric status of Alzheimer's disease (AD) cases. In this study, it was aimed to find future implications by evaluating the neuropsychiatric conditions of AD cases during total and partial lockdown periods. Methods: It is a prospective, cross-sectional, and multicenter study that includes AD cases which have been followed for at least 1 year by outpatient clinics from different regions of Turkey. Sociodemographic data, comorbidities, mobility, existence of social interactions, clinical dementia rating (CDR) scale, and neuropsychiatric inventory (NPI) for total and partial lockdown were questioned by the caregivers with the help of case files of the patients. Results: A total of 302 AD cases were enrolled to the study (mean age: 78±8 years, mean duration of education: 5.8±9 years). The total comorbidity ratio was found to be 84%, with the most frequent comorbidity being hypertension. The mean NPI score was 22.9±21 in total lockdown and 17.7±15 in partial lockdown, which is statistically significantly different. When lockdown periods were compared with the total scores of NPI scores according to gender, existence of social interactions, mobility, and comorbidities were found higher in the total lockdown than the partial lockdown. When switching from total lockdown to partial lockdown, the presence of comorbidities, mobility, and CDR were found to be factors that had a significant effect on NPI scores. In regression analysis, CDR score was found as the most effective parameter on the neuropsychiatric status of AD cases for both lockdown periods. Conclusion: When lockdown-related restrictions were reduced, the neuropsychological conditions of AD cases were significantly improved. Lockdown rules should be considered with these data in mind.