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Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

It is important to highlight that the Trans Pop study was a cross-sectional examination of the psychosocial experiences of TGD individuals. As such, all variables were assessed at the same time point, with measures that probed various time frames; this enabled us to use current variables to assess associations with past outcomes.

Amelia M Stanton, Lauren A Trichtinger, Norik Kirakosian, Simon M Li, Katherine E Kabel, Kiyan Irani, Alexandra H Bettis, Conall O’Cleirigh, Richard T Liu, Qimin Liu

J Med Internet Res 2025;27:e65452

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis

This protocol outlines the coordinated approach of cross-sectoral organizations, including the Public Health Agency of Canada (PHAC), the Canadian Food Inspection Agency (CFIA), Health Canada, and provincial or territorial organizations. When an enteric illness outbreak occurs in 2 or more provinces or territories or between Canada and another country (multijurisdictional), PHAC manages the outbreak response to ensure rapid and coordinated action across multiple jurisdictions [24].

Hisba Shereefdeen, Lauren Elizabeth Grant, Vayshali Patel, Melissa MacKay, Andrew Papadopoulos, Leslie Cheng, Melissa Phypers, Jennifer Elizabeth McWhirter

JMIR Public Health Surveill 2025;11:e68724

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Effects of Using a Smart Bassinet on the Mental Health of Military-Affiliated Pregnant Women: Protocol for a Randomized Controlled Sleep Health and Mood in Newly Expectant Military Mothers (SHINE) Trial

Cross-lagged panel designs will be pursued to make inferences about the temporal priority of a set of measures assessed longitudinally [85-87]. Accordingly, cross-lagged panel models permit the opportunity to determine the temporal precedence of antecedents and consequents in the set of constructs [86]: infant sleep quality, maternal sleep quality, and postpartum depression. The depiction of the proposed cross-lagged panel model to be tested is shown in Figure 2. Cross-lagged panel model.

Michele L Okun, Jennifer L Payne, Lauren M Osborne, Leilani Feliciano, Andrew Lac

JMIR Res Protoc 2025;14:e66439

Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study

Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study

Reference 1: Media consumption and mental health during COVID-19 lockdown: a UK cross-sectional study Mobile phone ownership and endorsement of "mHealth" among people with psychosis: a meta-analysis of cross-sectional

Ruth Wadman, Lauren Walker, Olivia Taylor, Paul Heron, Elizabeth Newbronner, Panagiotis Spanakis, Suzanne Crosland, Emily Jane Peckham

J Med Internet Res 2025;27:e55072

Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post–COVID-19 Condition: Protocol for an Observational Study

In case of a lower-than-expected number of observed outcomes, or smaller differences than expected between those who experience the outcome and those who do not, we may revert from our 80:20 split to use cross-validation to measure performance. In that case, we will evaluate the algorithm using the leave-one-out cross-validation technique.

Jenny Mathew, Jaclyn A Pagliaro, Sathyanarayanan Elumalai, Lauren K Wash, Ka Ly, Alison J Leibowitz, Varsha G Vimalananda

JMIR Res Protoc 2025;14:e54993