Beatriz Atienza-Carbonell

Dr. Beatriz Atienza-Carbonell

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 April 2020 in Acta Psychiatrica Scandinavica
Verified
Journal Article
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Vicent Balanzá-MartínezVicent Balanzá-Martínez
Vicent Balanzá-Martínez
BABeatriz Atienza-Carbonell
Beatriz Atienza-Carbonell
FKFlávio Kapczinski
Flávio Kapczinski
RBRaquel Brandini De Boni
Raquel Brandini De Boni
Loneliness and social isolation are associated with poor mental and physical health and may increase the likelihood of common mental disorders (depressive and anxiety disorders), substance use, and cognitive decline1,2. At this moment, people around the globe have been urged to self–isolate and refrain from social interaction due to the COVID‐19 pandemic. From public health and preventative care perspectives, there is a pressing need to provide individuals, communities and health agencies with information and interventions to maintain the healthiest possible lifestyle while in isolation.

14 August 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
FMFelix Machleid
Felix Machleid
RKRobert Kaczmarczyk
Robert Kaczmarczyk
DJDoreen Johann
Doreen Johann
JBJustinas Balčiūnas
Justinas Balčiūnas
BABeatriz Atienza-Carbonell
Beatriz Atienza-Carbonell
LMLina Mosch
Lina Mosch
Background: Digital health technologies hold promise to enhance patient-related outcomes, to support health care staff by reducing their workload, and to improve the coordination of care. As key users of digital health technologies, health care workers are crucial to enable a meaningful digital transformation of health care. Digital health literacy and digital skills should become prerequisite competencies for health professionals to facilitate the implementation and leverage the potential of digital technologies to improve health. Objective: We aimed to assess European medical students’ perceived knowledge and opinions toward digital health, the status of digital health implementation in medical education, and the students’ most pressing needs. Methods: The explanatory design of our mixed methods study was based on an online, anonymous, self-administered survey targeted toward European medical students. A linear regression analysis was used to identify the influence of the year of medical studies on the responses. Additional analysis was performed by grouping the responses by the self-evaluated frequency of eHealth technology use. Written responses to four qualitative questions in the survey were analyzed using an inductive approach. Results: The survey received a total of 451 responses from 39 European countries, and there were respondents for every year of medical studies. The majority of respondents saw advantages in the use of digital health. While 40.6% (183/451) felt prepared to work in a digitized health care system, more than half (240/451, 53.2%) evaluated their eHealth skills as poor or very poor. Medical students considered lack of education to be the reason for this, with 84.9% (383/451) agreeing or strongly agreeing that more digital health education should be implemented in the medical curriculum. Students demanded introductory and specific eHealth courses covering data management, ethical aspects, legal frameworks, research and entrepreneurial opportunities, role in public health and health systems, communication skills, and practical training. The emphasis lay on tailoring learning to future job requirements and interprofessional education. Conclusions: This study shows a lack of digital health-related formats in medical education and a perceived lack of digital health literacy among European medical students. Our findings indicate a gap between the willingness of medical students to take an active role by becoming key players in the digital transformation of health care and the education that they receive through their faculties.

30 October 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
RBRaquel Brandini De Boni
Raquel Brandini De Boni
Vicent Balanzá-MartínezVicent Balanzá-Martínez
Vicent Balanzá-Martínez
JMJurema Corrêa Da Mota
Jurema Corrêa Da Mota
TCTaiane De Azevedo Cardoso
Taiane De Azevedo Cardoso
Pedro BallesterPedro Ballester
Pedro Ballester
FKFlavio Kapczinski
Flavio Kapczinski
Background: Essential workers have been shown to present a higher prevalence of positive screenings for anxiety and depression during the COVID-19 pandemic. Individuals from countries with socioeconomic inequalities may be at increased risk for mental health disorders. Objective: We aimed to assess the prevalence and predictors of depression, anxiety, and their comorbidity among essential workers in Brazil and Spain during the COVID-19 pandemic. Methods: A web survey was conducted between April and May 2020 in both countries. The main outcome was a positive screening for depression only, anxiety only, or both. Lifestyle was measured using a lifestyle multidimensional scale adapted for the COVID-19 pandemic (Short Multidimensional Inventory Lifestyle Evaluation–Confinement). A multinomial logistic regression model was performed to evaluate the factors associated with depression, anxiety, and the presence of both conditions. Results: From the 22,786 individuals included in the web survey, 3745 self-reported to be essential workers. Overall, 8.3% (n=311), 11.6% (n=434), and 27.4% (n=1027) presented positive screenings for depression, anxiety, and both, respectively. After adjusting for confounding factors, the multinomial model showed that an unhealthy lifestyle increased the likelihood of depression (adjusted odds ratio [AOR] 4.00, 95% CI 2.72-5.87), anxiety (AOR 2.39, 95% CI 1.80-3.20), and both anxiety and depression (AOR 8.30, 95% CI 5.90-11.7). Living in Brazil was associated with increased odds of depression (AOR 2.89, 95% CI 2.07-4.06), anxiety (AOR 2.81, 95%CI 2.11-3.74), and both conditions (AOR 5.99, 95% CI 4.53-7.91). Conclusions: Interventions addressing lifestyle may be useful in dealing with symptoms of common mental disorders during the strain imposed among essential workers by the COVID-19 pandemic. Essential workers who live in middle-income countries with higher rates of inequality may face additional challenges. Ensuring equitable treatment and support may be an important challenge ahead, considering the possible syndemic effect of the social determinants of health.

ABAlberto Bermejo-Franco
Alberto Bermejo-Franco
JSJuan Luis Sánchez-Sánchez
Juan Luis Sánchez-Sánchez
MGMaría Isabel Gaviña-Barroso
María Isabel Gaviña-Barroso
BABeatriz Atienza-Carbonell
Beatriz Atienza-Carbonell
Vicent Balanzá-MartínezVicent Balanzá-Martínez
Vicent Balanzá-Martínez
Vicente Javier Clemente-SuárezVicente Javier Clemente-Suárez
Vicente Javier Clemente-Suárez
(1) Background: The aim of the study was to investigate how the COVID-19 pandemic impacted the mental health and quality of life of male and female physical therapy students at the European University of Madrid. (2) Methods: A cross-sectional online survey was conducted including a range of tests capturing different domains: 36-item Short Form Health Survey, six-item state version of the State–Trait Anxiety Inventory, Acceptance and Action Questionnaire, Three Items Loneliness Scale, four-item version of the Perceived Stress Scale, Beck Depression Inventory revised version, and Sleep Quality Numeric Rating Scale. (3) Results: A total of 151 students completed the study, consisting of 78 females and 73 males. Gender differences were observed on most of the domains evaluated. Female participants showed worse levels of general health perception, quality of life, depression symptoms, anxiety, stress, experiential avoidance and psychological inflexibility, sleep quality and loneliness compared to male physical therapy students. (4) Conclusions: The results of this study support the need of psychological interventions as preventive programs in situations such as COVID-19 pandemic. The aims of this study comprise of improving knowledge, awareness, and self-coping strategies or other psychological domains oriented to mitigate the effects of COVID-19 on mental health and health-related quality of life in university students, especially among female ones.

24 August 2021 in Journal of Affective Disorders
Verified
Journal Article
Open access
JCJose Cervera-Martínez
Jose Cervera-Martínez
BABeatriz Atienza-Carbonell
Beatriz Atienza-Carbonell
JMJurema C. Mota
Jurema C. Mota
Teresa Bobes-BascaránTeresa Bobes-Bascarán
Teresa Bobes-Bascarán
BCBenedicto Crespo-Facorro
Benedicto Crespo-Facorro
Vicent Balanzá-MartínezVicent Balanzá-Martínez
Vicent Balanzá-Martínez
This study aimed to compare self-reported changes on lifestyle behaviors during two phases of the COVID-19 pandemic in Spain, and to evaluate clinical and sociodemographic factors associated with lifestyles. Two cross-sectional web surveys were conducted during lockdown (April 15-May 15, 2020) and seven months later (November 16-December 16, 2020). Lifestyle behaviors were self-reported by a multidimensional scale (SMILE-C). Two separate samples of respondents were analyzed. A multivariate regression model was performed to evaluate the association of SMILE-C scores with demographic and clinical variables. The sample comprised, 3412 participants from the first survey (S1) and in the S1 and 3635 from the second (S2). SMILE-C score decreased across surveys (p < 0.001). The rates of positive screenings for depression and anxiety were similar between the surveys, whereas those for alcohol abuse decreased (p < 0.001). Most participants in S2 reported that their lifestyle had not changed compared to those before the pandemic. Variables independently associated with an unhealthier lifestyle were working as an essential worker, lower educational level, previous mental disease, worse self-rated health, totally/moderate changes on diet, sleep or social support, as well as positive screenings for alcohol abuse, anxiety and depression. The cross-sectional design and recruitment by non-probabilistic methods limit inferring causality and the external validity of the results. Overall lifestyle worsened seven months after the lockdown in Spain. Several demographic and clinical factors were associated with lifestyle scores. The contribution of common mental disorders to unhealthier lifestyles should be considered in order to prevent the negative impact of the pandemic.

1 January 2022 in Trends in Psychiatry and Psychotherapy
Verified
Journal Article
Open access
MSMario Simjanoski
Mario Simjanoski
PBPedro L. Ballester
Pedro L. Ballester
JMJurema Corrêa da Mota
Jurema Corrêa da Mota
RBRaquel B. De Boni
Raquel B. De Boni
Vicent Balanzá-MartínezVicent Balanzá-Martínez
Vicent Balanzá-Martínez
FKFlavio Kapczinski
Flavio Kapczinski
Recent research has suggested an increase in the global prevalence of psychiatric symptoms during the COVID-19 pandemic. This study aimed to assess whether lifestyle behaviors can predict the presence of depression and anxiety in the Brazilian general population, using a model developed in Spain. A web survey was conducted during April-May 2020, which included the Short Multidimensional Inventory Lifestyle Evaluation (SMILE) scale, assessing lifestyle behaviors during the COVID-19 pandemic. Depression and anxiety were examined using the PHQ-2 and the GAD-7, respectively. Elastic net, random forest, and gradient tree boosting were used to develop predictive models. Each technique used a subset of the Spanish sample to train the models, which were then tested internally (vs. the remainder of the Spanish sample) and externally (vs. the full Brazilian sample), evaluating their effectiveness. The study sample included 22,562 individuals (19,069 from Brazil, and 3,493 from Spain). The models developed performed similarly and were equally effective in predicting depression and anxiety in both tests, with internal test AUC-ROC values of 0.85 (depression) and 0.86 (anxiety), and external test AUC-ROC values of 0.85 (depression) and 0.84 (anxiety). Meaning of life was the strongest predictor of depression, while sleep quality was the strongest predictor of anxiety during the COVID-19 epidemic. Specific lifestyle behaviors during the early COVID-19 epidemic successfully predicted the presence of depression and anxiety in a large Brazilian sample using machine learning models developed on a Spanish sample. Targeted interventions focused on promoting healthier lifestyles are encouraged.