Digital Dependence in Organizations: Impacts on the Physical and Mental Health of Employees.

Digital Dependence is a person's persistent inability to regulate digital devices on which they have become highly dependent. Internet dependence has been described since the mid-1990s, and studies on this topic have intensified since 2010. This type of individual dependence has received considerable published literature, but it is new in the collective setting of organizations, offering the hypothesis that it can also be collective, given the impacts it can provide. Research has evolved geographically from three countries to 17 since the beginning of the last decade, with 7 new scales for digital dependence. There were 13 new revalidations of the Nomophobia Questionnaire (NMP-Q), with an increase from 1,000 to 13,000 volunteers. Geographical evolution and an increase in the number of scales and volunteers and their different profiles were described. New approaches reinforce evolution and its impacts on human behavior. This study provides historical insight into Digital Dependence and opens new prospects for research on the differences between nations and people, sexes, professionals, and the need for further research in organizations.

Use of Digital Technologies in Home Office Work during the COVID-19 Pandemic.

Background: Social distancing as a preventive measure to contain the spread of the COVID-19 pandemic has resulted in many people working from home, using online digital resources. Staying at home has led to the adaptation of many work activities to allow continuity of people´s jobs. It can also affect home routines and ways of working, thereby leading to changes in behavior, as the main interest of this study. Objective: The study aimed to assess the impact on human behavior of working conditions in home office format due to social distancing. Methods: Data collection was done online, using a specific computational tool (Google Forms) for this type of research, using the Home Office Work Scale (HOWS) validated and published in Mental Health and Addiction Research in 2021, with a total sample of 1,056 valid questionnaires. After the data collection, a database was created for statistical analysis of the results. Results: More women than men volunteered to answer the questionnaire, although the results were similar between women and men. Home office work has impacts on human behavior and results in changes in routines and adaptations in people´s personal and professional lives. Conclusion: Proportionally, more women participated, and there was low participation by young and elderly people. In general, people accepted home office work and the possibility of continuing to work in this format. Changes to routines and restrictive adaptations were necessary. The limitations reported for applying the scale did not compromise the results.

King George III of England and Queen Maria I of Portugal: bipolar disorder and prince regents as common features of their reigns.

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.

Evaluation of Digital Dependence of Employees in the Organizational Environment.

Introduction: With the evolution of technologies, new digital resources have emerged establishing different practices in human behavior, including the excessive use of digital devices, causing different dependencies due to the nonconscious use of these technologies. The digital use of digital devices will always be very important to the organizational process, but the abusive or excessive use can bring performance problems at work and also for people. Collective environments of organizations also begin to show "symptoms" of these dependencies, and observing these behaviors can contribute to greater employees comfort and the functioning of the business organization. Objective: To identify the level of digital dependency of employees in organizational environments and to investigate this dependency associated with demographic characteristics. Method: Data collection took place online, from 11.05.2019 to 03.05.2020, with a sample totaling 307 volunteers and 13 questionnaires excluded due to filling error, ending with 294 valid questionnaires. A validated scale was used to Assess Digital Employee Dependence (EDDE), with 19 questions (Annex 1) and inserted in the Google Forms platform, widely used for data collection in surveys. After the collection procedure, a database was created for statistical analysis and discussion of the results. Results: Factor Analysis identified 4 factors using the Kaiser Method, via Scree Plot and 19 questions were maintained, according to previous applications of this questionnaire. The sample presented itself without digital dependence (42.2%) or with mild dependence (30.3%). Only women had a severe level of digital dependence, but with low significance (1.7%). Conclusion: The severe digital dependency had a very low score, while the sum of volunteers without dependence with a mild level characterizes a sample without relevant digital dependence. Women showed a higher level of digital dependence although more research needs to confirm this sign. The limitations found for applying the research did not compromise the results.

Validation of an original Behavioral Changes Scale on the Use of Digital Technologies During Social Distancing.

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.

Smartphone use by health professionals: A review.

INTRODUCTION: On the world stage unlimited internet access by smartphones have made in social, cultural and economic relations, has transformed the world to be faster and more efficient. In this context, health care requires more attention. Health professionals must be concerned about the majority of the patient's care on the use of smartphone's in this process. Smartphones can be cause distractions and cause poor patient care. Behavioral and psychological changes related to abusive and uncontrolled use in this population may create severe impacts not only on the user's life but also on the community health care. METHOD: A careful research was performed through PubMed, Web of Science and Psycho Info databases using the terms: "Smartphone addiction", "Smartphone dependence", "Smartphone abuse", "physicians", "nurses" and ''health professionals". The search covered the past 5 years up to August 2019. Articles that examine abusive use on smartphones in health professionals were included. We analyzed how this concept evolved over the last five years and hope to contribute to the better understanding of the issue and its impacts on this population and on the health care. RESULTS: There is a lack of specific trial instruments on screening of smartphone addiction or abusive use, tending to adopt different diagnostic criteria by the reports included. There are also a lack of studies discussing etiology of this compulsive behavior. Although known risks, published reports show there is no consciousness of abusive use and possible damages in healthcare by some health professionals. Instead, there are others that can affirm there are unpredictable risks in patient care and tend to stimulate conscience use politics in health settings. Most of them point out smartphone's app benefits. CONCLUSION: Smartphones and its functionalities became part of everyone's life by the various benefits guaranteed. However, an addictive behavior can cause damage, principally in the Health Care setting and health professional's abusive use must be monitored. Further investigation is needed to determine the motivations of this addictive behavior and if abusive smartphone usage is a new psychiatric classification or merely the substrate of other disorders.

King George III of England and Queen Maria I of Portugal: bipolar disorder and prince regents as common features of their reigns

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.

Scale to Assess Leaders' Perceptions about their Workers' Digital Addiction.

BACKGROUND: With the evolution of technologies and the mobility factor, new digital devices have emerged, influencing human behavior and provoking diverse dependencies due to their abusive use. Collective environments begin to exhibit the symptoms of such dependencies, compromising people's quality of life (QOL). The objective of the present study was to validate the scale to evaluate the perception of leaders on digital employee addiction (EPLDDE) initially with 17 questions. METHODS: The scale was constructed with real situations of digital addiction and through the evaluation of the semantic comprehension and consistency of the items by judges until final formatting of the instrument. Data collection was done via the internet. The sample consisted of 312 volunteers from a federal state-owned company. After data collection, a database was created for statistical analysis. Statistical program R was used. FINDINGS: Bartlett's and Kaiser-Meyer-Olkin (KMO) tests confirmed adequacy for factorial analysis. Three statistical criteria were used, and scree plot presented adequate commonalities indicating 5 factors and the withdrawal of 3 questions from the scale. In the second AF, results ratified 14 questions. Cronbach's alpha showed a positive result of 0.8131717. CONCLUSION: The 14-item EPLDDE scale was validated for the evaluation of the perception of leaders regarding digital dependence of employees in organizations. This scale can contribute to studies on organizational QOL. The limitations found did not compromise the results.

Validation of an original Behavioral Changes Scale on the Use of Digital Technologies During Social Distancing

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.

Validation of a scale to evaluate the abusive use of technologies (Computer, cell phone, tablet, among others)

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.

Validation of a scale to evaluate Digital Dependence of Employees

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.

Validation of a scale to assess Facebook dependence

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.

Validation of the Cell Phone Dependence Scale

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.

Validation of the scale for assessing depression and its relation to technology dependence

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.

Validation of the scale to evaluate physical damages related to the Abusive Use of Technology in daily life (PDAUTS)

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.