Wearable Technology

This prospective multicenter observational study (NEOBRE-STEP) investigates the impact of daily step counts, measured by Huawei Fit 2 smartwatches, on treatment response in patients with non-metastatic Human Epidermal Growth Factor Receptor 2 (HER2)-negative breast cancer undergoing neoadjuvant systemic therapy. Patients will wear smartwatches to continuously record step counts, activity intensity, sleep, and heart rate. Patient-reported outcomes, including sleep quality (Pittsburgh Sleep Quality Index, PSQI) and quality of life (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30, EORTC QLQ-C30), will be assessed at baseline and after treatment. The primary outcomes are pathological complete response (pCR) and Miller-Payne score. Secondary outcomes include sleep quality, quality of life, perioperative outcomes, and feasibility of smartwatch monitoring.

In this study, it is aimed to reveal the effect of the use of heated socks to be developed as wearable technology by providing temperature control on body temperature, comfort perception level and shivering development in healthy volunteers and this purpose constitutes the unique value of the project. The research was planned as a prospective, two-arm (1:1), randomized controlled, double-blind study. The population of the study will consist of 4th year nursing students consisting of an average of 250 people who will enroll in the fall semester of the 2024-2025 academic year. As a result of the power analysis performed in the G\*Power program, the sample will consist of 70 healthy volunteers, at least 35 in each group. In the study, data will be collected with the "Descriptive Characteristics Form" and "Hypothermia Monitoring Form (Shivering Level Diagnosis Form and Temperature Comfort Perception Scale)" which includes the descriptive information of healthy volunteers. Healthy volunteers will fill out the "Introductory Characteristics Form" and "Hypothermia Monitoring Form" before being taken to the Faculty of Nursing Skills Laboratory for the application. Before the volunteers are taken to the single rooms in the laboratory, the environment will be cooled for 30 minutes with the air conditioner in the room so that the temperature is 21oC. The study group will wear socks developed with wearable technology and the control group will wear socks with the same appearance. The healthy volunteer will be asked to lie motionless on the bed for 60 minutes in a single room. Body temperature (with Braun tympanic thermometer), shivering level and temperature comfort perception will be recorded on the "Hypothermia Monitoring Form" when all healthy volunteers are taken to the Skills Laboratory, at 15 minutes, 30 minutes and 60 minutes, and when they leave the laboratory. The research data will be analyzed in a computer environment. Descriptive variables of healthy volunteers included in the study will be expressed as mean±standard deviation and median (maximum minimum), percentage and frequency. Changes in body temperature measurements obtained after wearing socks to be developed with wearable technology, repeated measurements, analysis of variance (Repeated ANOVA) if parametric, Friedman test if non-parametric, and post-hoc test will be used in intra-group multiple comparison analysis as further analy

The purpose of this study is to develop a Smart mHealth Strategy that delivers behavior change techniques through wearable physical activity trackers and social media chatbots, including self-monitoring, real-time feedback and reminders, goal-setting, competition and rewards, social support, and health coaching. This study also aims to explore the effect of the Smart mHealth Strategy on the behavioral outcomes and psychological factors of physical activity, and physical and mental health. The study design is a three-stage randomized controlled trial. In each stage, 120 are recruited and randomly assigned to control and experimental groups. Participants are adults with insufficient physical activity and a sedentary lifestyle. The Smart mHealth Strategy uses smartwatches and self-developed chatbots. The constrained dialogue content is designed to finally deliver the six behavior change techniques. Data are collected in the pre-, mid-, and post-tests. The measurement includes self-administered questionnaires, Actigraphy GT9X, Inbody 270S, OMRON HEM-7130, and heart rate variability monitors.