Development and Validation of the Digital Addiction Scale for Teenagers (DAST)

2021 ◽  
pp. 073428292110563
Author(s):  
Riin Seema ◽  
Mati Heidmets ◽  
Kenn Konstabel ◽  
Ene Varik-Maasik

We present the development and validation of the Digital Addiction Scale for Teenagers (DAST), describing the pilot study ( N = 40 students) and main study ( N = 4493) with Estonian students aged 11–19, in spring 2020. Our aim was to create a scale suitable for psychoeducational assessment of teenagers’ behaviour and feelings towards digital devices. We used the mixed research framework . Half of the study sample was collected before the coronavirus crisis (Sample I: 1972 students) and the rest during a distance-learning period (Sample II: 2521 students). We found that factor structure in both subsamples were similar. The DAST shows a negative relationship with emotional school engagement and life satisfaction and positive correlations with school burnout, learning difficulties and screen time. We discuss potential uses of the scale for assessing health-related digital competences.

2021 ◽  
Author(s):  
Riin Seema ◽  
Mati Heidmets ◽  
Kenn Konstabel ◽  
Ene Varik-Maasik

<p>We present development and validation of the Digital Addiction Scale for Teenagers (DAST), describing the pilot study (N = 40 students) and main study (N = 4493) with Estonian students aged 11–19, in spring 2020. Our aim was to create a scale suitable for psychoeducational assessment of teenagers’ behaviour and feelings towards digital devices. We used the mixed research framework (Onwuegbuzie, Bustamante, & Nelson, 2010). Half of the study sample was collected before the coronavirus crisis (Sample 1: 1972 students) and the rest of it during a distance learning period (Sample 2: 2521 students). We found that factor structure in both subsamples were similar. The DAST shows a negative relation with emotional school engagement and life satisfaction and positive correlations with school burnout, learning difficulties and screen time. We discuss potential uses of the scale for assessing health related digital competences. </p>


2021 ◽  
Author(s):  
Riin Seema ◽  
Mati Heidmets ◽  
Kenn Konstabel ◽  
Ene Varik-Maasik

<p>We present development and validation of the Digital Addiction Scale for Teenagers (DAST), describing the pilot study (N = 40 students) and main study (N = 4493) with Estonian students aged 11–19, in spring 2020. Our aim was to create a scale suitable for psychoeducational assessment of teenagers’ behaviour and feelings towards digital devices. We used the mixed research framework (Onwuegbuzie, Bustamante, & Nelson, 2010). Half of the study sample was collected before the coronavirus crisis (Sample 1: 1972 students) and the rest of it during a distance learning period (Sample 2: 2521 students). We found that factor structure in both subsamples were similar. The DAST shows a negative relation with emotional school engagement and life satisfaction and positive correlations with school burnout, learning difficulties and screen time. We discuss potential uses of the scale for assessing health related digital competences. </p>


2021 ◽  
Author(s):  
Matthias Marsall ◽  
Gerrit Engelmann ◽  
Eva-Maria Skoda ◽  
Martin Teufel ◽  
Alexander Bäuerle

BACKGROUND The World Wide Web has become an essential source of health information. Especially the COVID-19 pandemic has shown that the amount and the quality of information provided can lead to an information overload. Therefore, people do need certain skills to search, identify and evaluate information from the internet. In the context of health information, these competences are described as eHealth literacy, which could be confirmed as predictor of various health-related outcomes. Existing instruments assessing eHealth literacy reveal limitation of methodological standards of test development and validation. Furthermore, existing scales do not cover the entire cognitive processes, which are proposed within the construct of eHealth literacy. OBJECTIVE The objective of this study is the development and validation of an extended eHealth literacy scale to provide an economic and empirically confirmed measurement of eHealth literacy in German language. METHODS For development, items from 2 international, validated instruments were merged to cover a wide bandwidth of the construct of eHealth literacy. Translation into German followed scientific guidelines and recommendations ensuring content validity. A convenience sample of N=470 German-speaking people was collected from October to November 2020. Validation was carried out by confirmatory factor analysis. Correlations were performed to examine for convergent, discriminant, and criterion validity. Additionally, analyses of measurement invariance of gender, age, and educational level were conducted. RESULTS Analyses revealed a 3-factorial model of eHealth literacy. By item-reduction, the 3 factors information seeking, information identification, and information evaluation were measured with 11 items reaching good model fits (CFI: 0.959 ; TLI: 0.945; RMSEA: 0 .068; SRMR: 0.045). Convergent validity was confirmed by positive correlations of information seeking, information identification, and information evaluation with health literacy (r=0.43, P<.001; r= 0.53, P<.001; r= 0.55, P<.001, respectively). No significant correlations with impulsivity (r=-0.06, P=.16; r=-0.08, P=.08; r=-0.08, P=.10, respectively) confirmed discriminant validity. Criterion validity was supported by positive correlations of information identification and information evaluation with mental health (r=0.29, P<.001; r= 0.21, P<.001, respectively). Analyses with further variables confirmed convergent, discriminant and criterion validity. Strict measurement invariance of gender (CFI: 0.941; TLI: 0.941 ; RMSEA: 0.073; SRMR: 0.059), age (CFI: 0.943; TLI: 0.943 ; RMSEA: 0.070; SRMR: 0 .053), and educational level (CFI: 0.956; TLI: 0.959 ; RMSEA: 0.059; SRMR: 0.060) was confirmed. CONCLUSIONS Following scientific suggestions for translation and performing analyses confirming 3-factorial structure, we developed the 3-factor eHealth literacy inventory (3F-EHLI) as an economic and valid assessment of eHealth literacy. By verifying measurement invariance of gender, age, and educational level, the 3F-EHLI is an applicable measurement independently of these main sociodemographic variables. The 3F-EHLI represents a valid and economic instrument international further development of the measurement of the important health-related construct of eHealth literacy.


2019 ◽  
Vol 27 (4) ◽  
pp. 65-80
Author(s):  
Yu.V. Krasavtseva ◽  
T.V. Kornilova

Narcissism may be seen as the most controversial trait of the Dark Triad, character¬ized by both negative and positive aspects. This study tested the hypotheses regarding the relationship between narcissism and intelligence, tolerance for uncertainty, and the Big Five traits. The sample included two groups of participants: 1) middle managers (N=62, Mage = 37.60, SD = 8.84); 2) undergraduate and postgraduate students (N=1187, Mage = 22.37, SD = 4.44). The Dark Triad traits were measured using the Dirty Dozen questionnaire. The following measures were used: 2 subtests for fluid intelligence from the International Cognitive Ability Resource (ICAR) and 2 subscales for verbal intelligence from the Rapid Online Assessment Deployment System (ROADS); New Questionnaire for Tolerance of Uncertainty; and the Ten Item Personality Inventory (TIPI). For students, a relationship between narcissism was established with the following variables: verbal intelligence (p&lt;0.05); tolerance to uncertainty (p &lt;0.05) and interpersonal intolerance (p&lt;0.01). For managers, narcissism was also linked to tolerance to uncertainty (p&lt;0.05). Positive correlations between narcissism, extroversion, and openness to experience and a negative relationship with emotional stability were established among students. It is concluded that the relationship between narcissism, verbal intelligence, and tolerance for uncertainty reflects the “light” side of narcissism.


2020 ◽  
Author(s):  
Young Ho Yun ◽  
Sinae Oh ◽  
Jin Ah Sim ◽  
Sujee Lee ◽  
Eun-Jung Sohn

Abstract Objectives We developed the Health-Friendly Activity Index (HFAI) to measure the health-friendly activity of corporations or organizations comprehensively. We validated the developed tool and reported on its use as an assessment tool to improve consumers’ health-related outcomes.Study Design This is a cross-sectional studyPUBH-D-20-02610 Development of the HFAI questionnaire followed a three-phase process: item generation, item construction, and validation with field testing. Using relevance and feasibility criteria, we developed a 105-item questionnaire with six domains (Governance and Infrastructure, Needs Assessment, Planning, Implementation, Monitoring and Feedback, and Outcomes). To assess the sensitivity and validity of the questionnaire, we recruited two different groups. We assessed Group One (31 companies) based on their recent sustainability reports and compared their HFAI scores with the Contribution Assessment Tool for Consumer’s Health (CATCH) scores from 400 people from the general Korean population. For Group Two, we recruited 19 worksites and asked them to complete the HFAI and CATCH.Results Each domain of HFAI exhibited a Cronbach’s α coefficient between 0.382 and 1.000 for Group One and a Cronbach’s α coefficient between 0.676 and 0.938 for Group Two.


2021 ◽  
Vol 9 ◽  
Author(s):  
Wujiao Wang ◽  
Lu Zhu ◽  
Shijie Zheng ◽  
Yan Ji ◽  
Yongguo Xiang ◽  
...  

Background: The Covid-19 pandemic restricts children and adolescents from doing normal daily activities such as playing outdoors and going to school. The incidence and prevalence of myopia have increased during the COVID-19 pandemic. The aim of this study was to investigate and evaluate the impact of the home confinement during the COVID-19 pandemic on the progression of myopia among children and adolescents in Chongqing, China.Methods: The survey was conducted by using stratified samplings. Samples were randomly selected from the 2019 National Student Physique and Health Survey database, and their visual function and refractive data were compared with those in 2020. Vision-related behavior questionnaire including digital screen exposure was applied to investigate the correlation between eye parameter and eye health-related behavior.Results: A total of 1,733 and 1,728 students were enrolled in 2020 and 2019, respectively. The percentage of myopia students was 55.02% in 2020, which was higher than that in 2019 (44.62%). The mean uncorrected visual acuity (UCVA, LogMAR, 0.35 ± 0.42) in 2020 was higher than that in 2019 (0.27 ± 0.36, P &lt; 0.001). The mean spherical equivalent (SE) refraction (−1.94 ± 2.13 D) in 2020 was lower than that in 2019 (−1.64 ± 5.49 D, P &lt; 0.001). For students who used digital devices for online courses, the mean SE in the television group (−1.10 ± 1.49 D) was better than that in the computer group (−2.03 ± 2.37 D, P = 0.0017) and in the cell phone group (−2.02 ± 2.09 D, P = 0.0028). The average duration of online classes (r = −0.27, P &lt; 0.0001), the number of online classes per day (r = −0.33, P &lt; 0.0001), as well as digital screen exposure time (r = −0.20, P &lt; 0.0001) were negatively correlated with SE, and the average time of outdoor activity (r = 0.20, P &lt; 0.0001) was positively correlated with SE.Conclusions: Increased digital screen exposure contributes to myopic progression in children and adolescents of Chongqing during the COVID-19 pandemic. Suitable digital devices should be provided for online classes and outdoor activity should be advocated to prevent myopic pandemic.


Author(s):  
Lilian Monteiro Ferrari Viterbo ◽  
Maria Alzira Pimenta Dinis ◽  
André Santana Costa ◽  
Diogo Guedes Vidal

The present study aimed to develop and validate an Interdisciplinary Worker’s Health Approach Instrument (IWHAI). The development stage comprised a group of 10 professionals, including physicians, nurses, nutritionists, dentists and physical educators, as well as a judges’ committee, composed by 19 recognized experts in the area of worker’s health (WH). For the validation of the IWHAI, the Spearman’s correlation coefficient (rs) was calculated, the factor analysis to the instrument was applied, and the Cronbach’s alpha (α) and the Intraclass correlation coefficient (ICC) were calculated. The IWHAI was structured in five dimensions, integrating 43 health indicators, on a scale of 0–4, totalling 215 sub-indices with closed response coding. The instrument was validated with a Kappa coefficient (KAPPA) (k), with excellent agreement for all attributes, i.e., k = 0.88 for applicability, k = 0.80 for clarity and k = 0.82 for relevance. p > 0.05 results reveal moderate to strong positive correlations between some variables, i.e., pests, vectors and air quality/drinking water quality (rs = 0.69). A total of 14 components of the factor analysis, explaining 62.6% of the data variance, were extracted. α value is considered moderate to high, α = 0.61, the ICC value also being considered moderate to high, with ICC = 0.61. The IWHAI is considered validated, constituting a technological innovation for an interdisciplinary approach in the field of WH, enabling the prevention and integral promotion of health.


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