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Measuring Mental Health in 2 Brazilian University Centers: Protocol for a Cohort Survey

Measuring Mental Health in 2 Brazilian University Centers: Protocol for a Cohort Survey

The platform provides a convenient “survey queue” for participants to access the survey questionnaires and a “to-do list” so they can keep track of their progress. This allows for the tracking of initial participation, completeness status, and longitudinal data collection for all participants. The REDCap feature best suited to address automation of the communication process and is, furthermore, better at data collection is the automated invitations.

Talita Di Santi, Ariana Gomes Nascimento, Pedro Fukuti, Vinnie Marchisio, Gian Carlo Araujo do Amaral, Camille Figueiredo Peternella Vaz, Luiz David Finotti Carrijo, Lilian Cristie de Oliveira, Luiz Octávio da Costa, Elisângela Mancini Marion Konieczniak, Luana Aparecida Zuppi Garcia, Vanessa Cristina Cabrelon Jusevicius, Eduardo de Castro Humes, Paulo Rossi Menezes, Euripedes Miguel, Arthur Caye

JMIR Res Protoc 2025;14:e63636

Therapeutic Guidelines for the Self-Management of Major Depressive Disorder: Scoping Review

Therapeutic Guidelines for the Self-Management of Major Depressive Disorder: Scoping Review

It should be noted that, regardless of the physical activity chosen, people with major depressive disorder need to make it part of their routine and do it [47] according to their tolerance and state of health [54]. An important concern in relation to physical activity for people with major depressive disorder is the fact that some of the common symptoms of depression (fatigue, lack of energy, psychomotor retardation, despair, and feelings of worthlessness) interfere with the motivation to exercise [57].

Priscila de Campos Tibúrcio, Priscila Maria Marcheti, Daniela Miori Pascon, Marco Antônio Montebello Junior, Maria Alzete de Lima, Carla Sílvia Fernandes, Célia Samarina Vilaça de Brito Santos, Maria do Perpétuo Socorro de Sousa Nóbrega

Interact J Med Res 2025;14:e63959

Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report

Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report

First, narrative reviews are highly prone to selection bias, as they typically do not systematically cover all relevant studies. Similarly, integrative reviews often lack the rigorous, standardized search and inclusion criteria that are fundamental to systematic and scoping reviews [16,17]. Therefore, we excluded these types of publications to minimize potential inconsistencies and biases that could compromise the validity of our bibliometric analysis. [16,17].

Hebatullah Abdulazeem, Israel Júnior Borges do Nascimento, Ishanka Weerasekara, Amin Sharifan, Victor Grandi Bianco, Ciara Cunningham, Indunil Kularathne, Genevieve Deeken, Jerome de Barros, Brijesh Sathian, Lasse Østengaard, Frederique Lamontagne-Godwin, Joost van Hoof, Ledia Lazeri, Cassie Redlich, Hannah R Marston, Ryan Alistair Dos Santos, Natasha Azzopardi-Muscat, Yongjie Yon, David Novillo-Ortiz

JMIR Ment Health 2025;12:e64445

Crowdsourcing Adverse Events Associated With Monoclonal Antibodies Targeting Calcitonin Gene–Related Peptide Signaling for Migraine Prevention: Natural Language Processing Analysis of Social Media

Crowdsourcing Adverse Events Associated With Monoclonal Antibodies Targeting Calcitonin Gene–Related Peptide Signaling for Migraine Prevention: Natural Language Processing Analysis of Social Media

Although the number of posts differs between erenumab and fremanezumab due to FDA approval time, we do not expect this to significantly change our result since word distribution should be theoretically constant despite the sample size. Another limitation is the use of multiple different words for the same symptom; for example, when “lightheadedness,” “dizzy,” and “dizziness” collectively describe the same entity. Relevant symptoms described in various ways may be missed during this type of analysis.

Pengfei Zhang, Brad K Kamitaki, Thien Phu Do

JMIR Form Res 2024;8:e58176

A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study

A New Natural Language Processing–Inspired Methodology (Detection, Initial Characterization, and Semantic Characterization) to Investigate Temporal Shifts (Drifts) in Health Care Data: Quantitative Study

All these metrics measure the drift compared to a reference temporal slice and do not require setting a specific outcome or using labeled data. The outcomes of this procedure are illustrated in Figure 7, where the divergence sharply increases starting from the final quarter of 2020, based on the Jensen-Shannon divergence metric.

Bruno Paiva, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha, Milena Soriano Marcolino, Fernanda Cristina Barbosa Lana, Maira Viana Rego Souza-Silva, Jussara M Almeida, Polianna Delfino Pereira, Claudio Moisés Valiense de Andrade, Angélica Gomides dos Reis Gomes, Maria Angélica Pires Ferreira, Frederico Bartolazzi, Manuela Furtado Sacioto, Ana Paula Boscato, Milton Henriques Guimarães-Júnior, Priscilla Pereira dos Reis, Felício Roberto Costa, Alzira de Oliveira Jorge, Laryssa Reis Coelho, Marcelo Carneiro, Thaís Lorenna Souza Sales, Silvia Ferreira Araújo, Daniel Vitório Silveira, Karen Brasil Ruschel, Fernanda Caldeira Veloso Santos, Evelin Paola de Almeida Cenci, Luanna Silva Monteiro Menezes, Fernando Anschau, Maria Aparecida Camargos Bicalho, Euler Roberto Fernandes Manenti, Renan Goulart Finger, Daniela Ponce, Filipe Carrilho de Aguiar, Luiza Margoto Marques, Luís César de Castro, Giovanna Grünewald Vietta, Mariana Frizzo de Godoy, Mariana do Nascimento Vilaça, Vivian Costa Morais

JMIR Med Inform 2024;12:e54246