Centralive Blog
Want to know more about the Centralive features? Read our blog posts here.
Can Wearable Tech & Coaching Improve Weight Management in Pregnant Women?
A new study powered by Centralive and published in Midwifery evaluates the SLIM intervention—a combination of a smart Oura ring, a food diary mobile app, a scale, motivational interviewing, and goal-setting—designed to support healthy lifestyle habits in pregnant women with overweight. Key Takeaways At Centralive, we help research teams run complex, longitudinal health interventions with […]
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Reducing Stress and Anxiety During Pregnancy with Mindfulness Apps
Decoding Pregnancy Stress: Insights from Oura on the Impact of Headspace Mindfulness Stress and anxiety during pregnancy can lead to adverse outcomes like preterm births and low birth weights. A recent study published in JMIR Pediatrics and Parenting highlights the effectiveness of the Headspace app in reducing stress and anxiety during pregnancy. Key Findings from […]
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Exploring Access in Perinatal eHealth Self-Monitoring Systems
A study powered by Centralive and published in JMIR Formative Research explores how pregnant users adapt to self-monitoring eHealth systems. Using a sociomaterial perspective, the study highlights access as a collaborative process between user adaptations and system mediation. Key Findings from the Study At Centralive, we are dedicated to helping researchers and developers create adaptable […]
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Enhancing Affect Prediction with Wearables and Diaries
A recent study in Smart Health Journal introduces a cutting-edge approach to forecasting emotional states one week ahead by combining data from wearable devices and self-reported diaries. With predictive accuracy of 82.50% for positive affect and 82.76% for negative affect, this model offers a glimpse into the future of mental health monitoring. Key Insights At […]
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Harnessing Wearable Technology to Predict Maternal Loneliness
A recent study published in JMIR Formative Research demonstrates how smartwatches and passive sensing can accurately predict loneliness during pregnancy and postpartum. Key Takeaways: At Centralive, we are proud to support cutting-edge maternal health research with tools that integrate wearable data for predictive analytics. 📖Full paper Authors: Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilen, Anna Axelin, […]
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Leveraging Smart Devices to Combat Loneliness
A recent study demonstrates how smart devices and machine learning can objectively monitor loneliness levels with 82% accuracy. Key insights: At Centralive, we support researchers by offering seamless platforms for IoT and data integration, driving innovation in mental health studies. 📖 Explore the full findings Authors:Salar Jafarlou ,Iman Azimi,Jocelyn Lai,Yuning Wang,Sina Labbaf,Brenda Nguyen,Hana Qureshi,Christopher Marcotullio,Jessica […]
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Can Tomorrow’s Mood Be Predicted? Unveiling the Power of Physiological and Behavioral Data!
A recent study published in JMIR Formative Research introduces a groundbreaking method for predicting next-day affective states using multimodal wearable data. Key Insights: At Centralive, we are dedicated to supporting researchers in utilizing wearable data and machine learning to create scalable, reliable solutions for mental health monitoring. Our platform enables seamless data integration and empowers […]
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