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Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study

Large Language Models’ Accuracy in Emulating Human Experts’ Evaluation of Public Sentiments about Heated Tobacco Products on Social Media: Evaluation Study

This investigation could ultimately contribute to assessing the ability of LLMs in examining how the public views alternative tobacco products. Messages relevant to HTPs were collected from 2 social media platforms that provide distinct message formats: Facebook (long format) and Twitter (short format). Facebook posts were collected using Crowd Tangle (CT)’s keyword search feature. CT was a social media analytic tool provided by Facebook’s parent company, Meta.

Kwanho Kim, Soojong Kim

J Med Internet Res 2025;27:e63631

Evaluating the Impact of an App-Delivered Mindfulness Meditation Program to Reduce Stress and Anxiety During Pregnancy: Pilot Longitudinal Study

Evaluating the Impact of an App-Delivered Mindfulness Meditation Program to Reduce Stress and Anxiety During Pregnancy: Pilot Longitudinal Study

Internet mindfulness-based interventions (i MBIs), including computer and app-based resources, provide a convenient alternative to traditional mindfulness classes. Studies examining the impact of i MBIs during pregnancy found a reduction in stress [12,13] and anxiety [14,15]. However, limitations included high attrition, poor adherence, and lack of objective or physiological measures of stress, like heart rate variability (HRV) and sleep.

Donna Balsam, Dawn T Bounds, Amir M Rahmani, Adeline Nyamathi

JMIR Pediatr Parent 2023;6:e53933

An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study

Here, we describe an example of an alternative to the light touch digital health study that involves active app- and wearable-based assessments coupled with an extensive digital engagement participant-centric strategy. Our objective was to demonstrate that participant-centric engagement approaches might enable a digital health study with improved participant experience, likelihood to retain in the study, and adherence to protocols.

Sarah M Goodday, Emma Karlin, Alexandria Alfarano, Alexa Brooks, Carol Chapman, Rachelle Desille, Shazia Rangwala, Daniel R Karlin, Hoora Emami, Nancy Fugate Woods, Adrien Boch, Luca Foschini, Mackenzie Wildman, Francesca Cormack, Nick Taptiklis, Abhishek Pratap, Marzyeh Ghassemi, Anna Goldenberg, Sujay Nagaraj, Elaine Walsh, Stress And Recovery Participants, Stephen Friend

JMIR Form Res 2021;5(12):e32165