Abstract Humanity is sporadically subjected to leaders with deviant behavior, ego problems, or psychiatric disorders, potentially leading to social instability. Bipolar disorder is not common in all populations, but, coincidentally, studies suggest that it affected two sovereigns that were contemporaries, King George III of England, who died 201 years ago, and Queen Maria I of Portugal, who died 205 years ago. They lived during a time when Europe was in turmoil with the French Revolution and Napoleonic Wars, which also coincided with the rise of psychiatry. Both monarchs were forced to have prince regents rule in their place, due to their emotional decline, and they shared the same medical consultant, Francis Willis. behavior problems disorders instability populations but coincidentally contemporaries England 20 ago Portugal Wars psychiatry place decline consultant Willis 2

Abstract Introduction The social distancing (SD) adopted during the coronavirus disease 2019 (COVID-19) pandemic has transformed the internet from a convenience into a necessity. The behavioral changes caused by isolation range from adaptation of consumption, work, and teaching routines to altered leisure options to occupy idle time at home. Such transformations can be positive, expanding use of digital technologies (DT), but they can also have serious future physical and emotional consequences if there conscious use of technological devices is lacking. Objectives The study aimed to validate the Behavioral Changes Scale on the Use of Digital Technologies During Social Distancing (BCSDTSD), an instrument for assessing behavioral changes related to use of DT during SD. Method Validation of the BCSDTSD in five phases: 1. construction of an initial scale with 10 questions; 2. evaluation of the questions by a panel of experts; 3. application to 1,012 volunteers via the internet; 4. statistical analysis of the results; and 5. preparation of the validated final version of the BCSDTSD. Data were analyzed using the dplyr, psy , and paran packages and the REdaS statistical program. Three statistical criteria were used in the factor analysis (FA). Results FA confirmed that all 10 questions in the questionnaire should be maintained, confirming its robust construction, and Cronbach’s alpha demonstrated its internal consistency with a value of 0.725, which is satisfactory for first-application questionnaires. Conclusion The BCSDTSD instrument was validated for assessment of behavioral changes related to the use of DT during SD.

ABSTRACT BACKGROUND: The daily coexistence with the technologies (computer, mobile phone, tablet, among others), begins to produce significant changes in human behavior. We have observed that there is an association between dependence on technologies and major depressive disorder, as well as with other mental disorders. OBJECTIVE: To validate a scale for assessing depression and its relation to dependence on everyday technologies. METHODS: Validation of a Technology Dependent Depression Scale (TDDS) was performed in 5 phases: (1) initial scale construction with 20 questions; (2) expert evaluation; (3) application to 100 volunteers, (4) statistical analysis and results, (5) preparation of the final version of the validated TDDS. RESULTS: We used the R statistical program, version 3.4.2 and the “dplyr” package to present descriptive statistics, hypotheses tests of mean differences and factorial analysis. The results provided a validated and approved final version for TDDS. CONCLUSIONS: We constructed the final version of the validated TDDS, which is adequate for clinical contexts and to be used in future research. All the psychometric properties were checked for accuracy, reliability, presentation, clarity, pertinence and comprehension of the instrument conferring validity to the end-product.

BACKGROUND INFORMATION: Daily, prolonged interactivity of individuals with technologies (computer, cell phone, tablet, among others) impacts life and significantly changes habits, behaviors, personal and social relationships. Technologies lead to a multitude of advantages, but attention is required concerning possible damages. OBJECTIVE: Validation of a scale to evaluate the abuse use of technologies (TAUS). METHOD: TAUS validation was carried out in 5 phases: (1) initial scale construction with 20 questions, (2) expert evaluation, (3) application to 200 volunteers, (4) statistical analysis and results, (5) preparation of the final version of the validated TAUS. We used the R statistical program and the “dplyr” package version 3.4.2 to present descriptive statistics, to test hypotheses of means differences and for factorial analysis. Factor analysis was used for the orthogonal model. The method used was Principal Components based on Spearman’s correlation matrix. RESULTS: The results provided a final, validated version of a TAUS suitable for clinical and research contexts. The last step of the study was to calculate Cronbach’s alpha, in order to measure the internal consistency of the scale. The value found was 0.910, which is considered good. CONCLUSIONS: This Technology Abuse Scale may contribute to future studies, to the conscious use of technologies, to a reduction of physical and emotional damage and to an improvement of the subjects’ quality of life.

BACKGROUND INFORMATION: Digital game or video game disorders have been recently (June 2018) included in ICD-11 (International Classification of Diseases) by the World Health Organization (WHO). The disorder can occur with or without an internet connection. OBJECTIVE: Validation of a scale to evaluate the dependence of pathological digital game (PDGD). METHOD: Validation of the PDGD was performed in 5 phases: (1) initial scale construction with 20 questions, (2) expert assessment, (3) application to 200 volunteers, (4) statistical analysis and production of results using statistical programs, (5) elaboration of the final validated scale. RESULTS: We used the R statistical program Version 3.4.2 and the “dplyr” package to present the descriptive statistics, the hypotheses tests of differences of means and the factorial analysis. The last step was to calculate Cronbach’s alpha, in order to measure the internal consistency of the questionnaire. The value found was 0.955, which is very good. CONCLUSIONS: This research allowed us to construct a final version of the PDGD suitable for the clinical contexts and usable in research on the dependence of digital games. This scale may contribute to future studies, conscious use of technologies, reduction of physical and emotional damage and improvement of the quality of life.

ABSTRACT BACKGROUND INFORMATION: One of the most popular social networks is WhatsApp. Abusive use of this tool has produced significant changes in behavioral and social behaviors and habits of individuals. Therefore, research is needed to allow us to specifically evaluate the interaction of WhatsApp with the daily lives of individuals. OBJECTIVE: Production and validation of a scale to evaluate WhatsApp dependence (WADS). METHODS: Validation performed in 5 phases: 1- initial scale construction with 20 questions, 2- expert evaluation, 3- application in volunteers, 4- statistical analysis and results, and 5- elaboration of the final version of the validated WADS. RESULTS: We obtained a descriptive statistical analysis, a clear-cut separation of dependents vs. non-dependents and a successful factorial analysis. These results provided a validated version of WADS. CONCLUSIONS: We were able to construct a final version of WADS adequate to clinical contexts and to be used in future research to evaluate dependence of this digital tool. WADS will contribute to the conscious use of WhatsApp, hopefully reducing harmful effects and improving quality of life.

BACKGROUND INFORMATION: Facebook is a social network that has become part of the everyday life of contemporary humanity and is notably the most accessed digital tool, worldwide; through it, one can simultaneously relate to millions of people, as a source of information, communication or entertainment. OBJECTIVE: To produce and validate a scale to evaluate Facebook dependence (FDS). METHOD: Validation was performed in 5 phases: 1- initial scale construction with 20 questions, 2- expert evaluation, 3- application in 200 volunteers, 4- statistical analysis and results, and 5- elaboration of the final 18-question validated version of FDS. RESULTS: We obtained a descriptive statistical analysis, a clear-cut separation of dependents vs. non-dependents and a successful factorial analysis. These results provided a validated version of FDS. CONCLUSIONS: We were able to construct the validated final version of FDS with 18 questions appropriate to the clinical contexts and to be used in conducting research on Facebook dependence. This scale will contribute to future research related to this specific digital dependence, hopefully reducing harmful effects and improving quality of life.

BACKGROUND INFORMATION: New computer technologies, namely smart cellphones and tablets, among others, interacting along the daily life of individuals may contribute toward the rise of problems: depression, stress and physical damage (undue postures, upper and lower extremity disorders, vision problems, obesity), all of them related to excessive time spent on technological equipment; together with inadequate furniture, quality of life can be seriously affected. OBJECTIVE: To validate a scale to evaluate physical damage related to the Abusive Use of Technology (PDAUTS) in daily life. METHODS: Validation of the PDAUTS was performed through 5 phases: (1) initial scale construction with 20 questions; (2) expert evaluation of questions; (3) application to 200 volunteers; (4) statistical analysis of the results; (5) preparation of the final validated version, retaining the 20 questions. RESULTS: We used the R statistical program, version 3.4.2 and the “dplyr” package to present the descriptive statistics, the hypothesis tests of mean differences and the factor analysis. The results provided a validated final version for PDAUTS. The last step of the study was to calculate Cronbach’s alpha parameter, in order to measure the internal consistency of the scale. The value found was 0.897, which in is considered very good. CONCLUSION: The validated PDAUTS allowed us to evaluate physical damage in each subject and design adequate training and treatment programs, reducing overall impairments and contributing to the improvement in quality of life.

BACKGROUND INFORMATION: The boundary between cellphone use and abuse is quite tenuous. Research is required to evaluate the use of this device interacting in the everyday life of users, whether to speak or to perform tasks. OBJECTIVE: To construct a novel and specific scale to evaluate cellphone dependence checking its psychometric properties for clarity, accuracy and reliability. METHODS: Validation of a Cellphone Dependence Scale (CPDS) was performed in 5 phases: 1- initial scale construction with 20 questions, 2- expert evaluation, 3- application to 200 volunteers, 4- statistical analysis and results, and 5- elaboration of the final version of the CPDS. RESULTS: We used the R statistical program Version 3.4.2 and the “dplyr” package to present the descriptive statistics, the hypotheses tests of differences of means and the factorial analysis. The results provided a validated and accepted final version for CPDS. The last step of the study was to calculate Cronbach’s alpha, in order to measure the internal consistency of the questionnaire. The value found was 0.897, which is considered very good. CONCLUSIONS: This project resulted in the construction of the final CPDS version suitable for the clinical context and to be used in the conduct of research on cellphone dependence. CPDS may contribute to future studies, conscious use of cellphones, harm reduction, and improved quality of life vis-à-vis the cellphone.

BACKGROUND: The evolution of technologies and mobility, new digital resources have emerged transforming human behavior. These include the abusive use of digital devices, leading to various dependences regarding the way people use technology. Collective environments also begin to exhibit symptoms of such dependences. OBJECTIVE: Validate a Digital Dependence of Employees Scale (DDES), applied to personnel not holding leadership positions in organizations. METHOD: Data were collected via Internet. The sample totaled 301 volunteers from a state-owned company, of which 294 were statistically validated. Participants were asked to answer 20 questions prepared by experts. After the collection procedure, a database was created for statistical analysis. RESULTS: Statistical analysis procedure including factorial analysis was conducted, which confirmed data adequacy. Three statistical criteria were used: Bartlett Sphericity test, Kaiser-Meyer-Olkin Criterion and Factorial analysis, including Screeplot; the latter determined adequate commonalities, indicating the cancellation of only 1 out of the 20 original scale questions. The internal consistency of the scale measured through the Cronbach Alpha Coefficient showed a positive result of 0.764. Thus, scale validation objectives were achieved. CONCLUSION: The DDES scale was considered validated to be applied to employees in organizational environments. The limitations found to apply the scale did not compromise its results.