Ignite Creation Date:
2024-10-26 @ 3:42 PM
Last Modification Date:
2024-10-26 @ 3:42 PM
Study NCT ID:
NCT06630663
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
None
First Post:
2024-09-24
Brief Title:
A Wearable Device and AI-Supported Diet and Exercise Intervention
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Effectiveness of a Wearable Device and AI-Supported Diet and Exercise Intervention in Obese Adults-a Quasi-experimental Design Study
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2023-12
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This study implemented a personalized 6-month diet and exercise program to promote weight loss Participants were recruited from outpatient clinics at the Department of Family Medicine National Taiwan University Hospital Overweight and obese adults were eligible defined as follows overweight BMI 24-27 kgm² mild obesity BMI 27-30 kgm² moderate obesity BMI 30-35 kgm² and severe obesity BMI 35 kgm² Exclusion criteria included recent weight changes exceeding 3 a history of bariatric surgery untreated psychiatric disorders or medications affecting body weight
Study design Of the 171 subjects screened 29 were excluded due to BMI criteria leaving 142 participants for baseline body composition and biochemical analysis Of these 98 joined the 6-month weight loss program while 44 remained in the control group Participants were divided into two groups one followed a standard diet and exercise program while the other used a wearable device and AI apps alongside the same program The wearable device tracked steps heart rate and estimated calories burned Outpatient visits occurred at weeks 0 12 and 24 with additional diet and exercise education Phone consultations at weeks 2 4 and 8 provided 10-minute guidance sessions from case managers Weight loss medications were not permitted during the study
Data collection Weight height and blood pressure were measured using standard scales and sphygmomanometers Waist circumference was measured by a trained operator and bioelectrical impedance analysis was used to assess skeletal muscle fat mass and body fat percentage Blood samples were collected after an 8-hour fast to measure glucose cholesterol and triglycerides Insulin levels were measured and HOMA-IR was used to assess insulin resistance Galectin-1 levels were measured using an ELISA kit Measurements were taken at baseline and at the end of the intervention week 24
Diet and exercise intervention All participants followed a standard diet and exercise program Those opting for the wearable device aimed for 7500 steps per day following World Health Organization recommendations for 150 minutes of moderate aerobic activity per week Dietary education included caloric intake calculations and Mediterranean diet principles Participants using wearable devices logged daily steps and food intake which was uploaded to a health management platform Case managers provided lifestyle coaching through the platform
Study design Of the 171 subjects screened 29 were excluded due to BMI criteria leaving 142 participants for baseline body composition and biochemical analysis Of these 98 joined the 6-month weight loss program while 44 remained in the control group Participants were divided into two groups one followed a standard diet and exercise program while the other used a wearable device and AI apps alongside the same program The wearable device tracked steps heart rate and estimated calories burned Outpatient visits occurred at weeks 0 12 and 24 with additional diet and exercise education Phone consultations at weeks 2 4 and 8 provided 10-minute guidance sessions from case managers Weight loss medications were not permitted during the study
Data collection Weight height and blood pressure were measured using standard scales and sphygmomanometers Waist circumference was measured by a trained operator and bioelectrical impedance analysis was used to assess skeletal muscle fat mass and body fat percentage Blood samples were collected after an 8-hour fast to measure glucose cholesterol and triglycerides Insulin levels were measured and HOMA-IR was used to assess insulin resistance Galectin-1 levels were measured using an ELISA kit Measurements were taken at baseline and at the end of the intervention week 24
Diet and exercise intervention All participants followed a standard diet and exercise program Those opting for the wearable device aimed for 7500 steps per day following World Health Organization recommendations for 150 minutes of moderate aerobic activity per week Dietary education included caloric intake calculations and Mediterranean diet principles Participants using wearable devices logged daily steps and food intake which was uploaded to a health management platform Case managers provided lifestyle coaching through the platform
Detailed Description:
Introduction The prevalence of obesity has grown globally and leading to increases in obesity-related conditions and the medical costs of obesity Obesity is a complex endocrine and metabolic disorder with features of adipose tissue inflammation remodeling hypertrophy and hyperplasia of adipocytes Furthermore obesity induces an imbalance in the regulation of adipokines which are a group of cytokines that are produced and secreted in adipose tissue Many studies have investigated the role of different adipokines and galectin-1 Gal-1 has emerged as a novel adipokine Galectins are carbohydrate-binding proteins with an affinity for β-galactosides Gal-1 is expressed by various tissues and exhibits a wide range of biological activities Evidence has indicated that galectin-1 is a regulator of immune responses inflammation allergy homeostasis and developmentGal-1 mainly performs an anti-inflammatory role However only in recent years have studies shown that the pro-inflammatory properties of Gal-1 in certain diseases indicating the dual effects of Gal-1The expression of Gal-1 is highest in subcutaneous adipose tissue Gal-1 has been proposed as a novel adipokine that circulates during adipocyte differentiation and adipose tissue homeostasis in the literatureIn human studies circulating Gal-1 is positively associated with body mass index BMIbody fat and waist circumference
The promotion of physical activityexercise training and weight loss is advocated to reduce cardiovascular risk in overweight and obese patients Exercise training programs consistent with the minimum physical activity guidelines are associated with cardiovascular health benefitsWith the development of technology wearable device plus artificial intelligence APPs can be an effective and low-cost tool for patients by helping facilitate their interactions with health care providers In a systemic review focused on the characteristics of fitness APPs and wearables to assist users overcome obesity and discovered that the wearables emphasize reminders tracking monitoring feedback and goals rewards The use of wearable devices for improving health care processes and outcomes is promising for health promotion among patients with chronic diseases such as obesity and diabetes
The level of circulating Gal-1 after diet- and exercise-induced body composition changes has previously never been examined Therefore we implemented a 6-month diet and exercise program which applied wearable device plus artificial intelligence APPs to investigate the association of changes in circulating Gal-with weight loss body composition and metabolic parameters among individuals with obesity
Materials and Methods Participants This study adopted a personalized 6-month personalized diet and exercise program to promote weight loss Subjects were recruited in outpatient clinics at the Department of Family Medicine National Taiwan University Hospital Overweight and obese adults were eligible for this study The criteria for overweight and obesity in Taiwan are as follows overweight is defined as 24 BMI kgm2 27 mild obesity is defined as 27 BMI kgm2 30 moderate obesity is defined as 30 BMI kgm2 35 and severe obesity is defined as 35 BMI kgm2 The exclusion criteria were as follows a body weight change greater than 3 in the previous three months a history of bariatric procedures untreated psychiatric disorders or currently using medications known to affect body weight This study was approved by the Ethics Committee of National Taiwan University Hospital 202011101RINB and written informed consent was obtained from all participants
Study design A total of 171 subjects were screened at the outpatient clinics Twenty-nine of the 171 participants were excluded from the study after screening because their BMI did not meet the criteria The remaining 142 subjects participated in body composition and biochemical analysis at baseline Ninety-eight of these subjects were willing to enter the 6-month weight loss program for diet and exercise intervention while the other 44 subjects preferred to stay in the cohort as the control group After enrollment the subjects were divided into two groups based on their preferences one group participated in a standard diet and exercise program while the other group received the same program along with a wearable watch and artificial intelligence APPs The wearable watch could be used to track and monitor various metrics including steps heart rates and calorie expenditure Outpatient clinic visits were scheduled in week 0 week 12 and week 24 Face-to-face diet and exercise education were conducted at each visit Participants also completed phone consultations in week 2 week 4 and week 8 by the case managers The case managers provided diet and exercise consultation and coaching for 10 minutes per consultation Medication for weight loss was not allowed during the training program
Data collection Participants weight height systolic blood pressure BP and diastolic BP were measured by a standard electronic scale of stadiometer and sphygmomanometer Body weight was assessed to the nearest 01 kg with the participant clothed in lightweight clothing Waist circumference was measured by the same trained operator Bioelectrical impedance analysis was performed for skeletal muscle fat-free mass body fat mass and body fat percentage Regarding blood analysis venous blood samples were collected from the participants following a minimum eight-hour fasting period Serum glucose total cholesterol high-density lipoprotein HDL cholesterol low-density lipoprotein LDL cholesterol and triglyceride levels were assessed by an automatic spectrophotometric assay HITACHI 7250 Japan Fasting insulin levels were measured by a microparticle enzyme immunoassay using an AxSYM system Abbott Laboratories Dainabot Co Tokyo Japan The homeostatic model assessment of insulin resistance HOMA-IR was applied as an indirect measure of the degree of insulin resistance HOMA-IRfasting insulin x fasting plasma glucose225 with glucose in mmolL and insulin in mULSerum galectin-1 cat no DGAL10 RD Systems MN USA levels were measured by an enzyme-linked immunosorbent assay ELISA kit that employed the quantitative sandwich enzyme immunoassay technique All body composition blood pressure and biochemical variables were measured on day 1 baseline and at the end of the intervention week 24
Diet and exercise intervention The subjects were divided into two groups based on their preferences Each participant received a standard diet and exercise program For those who opted for additional wearable devices a wearable watch and artificial intelligence apps were administered Each participant was suggested to aim for a daily target of 7500 steps This recommendation aligns with the guideline of achieving approximately 150 minutes of moderate-intensity aerobic physical activity per week as recommended by the World Health OrganizationThe standard dietary education encompasses instruction on the calculation of total caloric intake and emphasizes the principles of the Mediterranean diet Tailored dietary concepts are developed based on individual patient habits to give practical advice Each participant who chose an extra wearable device downloaded the APP to connect with the health management platform User interface of the health management platform collected data on the number of steps walked distance and heart rate spontaneously Participants recorded a dietary diary every day with a smartphone APP All collected information was uploaded to the health management platform too The well-trained case managers offered a platform to coach the participants to set-up a better self-managed lifestyle modification through strategies of emphasize reminders tracking monitoring feedback and goals rewards
The promotion of physical activityexercise training and weight loss is advocated to reduce cardiovascular risk in overweight and obese patients Exercise training programs consistent with the minimum physical activity guidelines are associated with cardiovascular health benefitsWith the development of technology wearable device plus artificial intelligence APPs can be an effective and low-cost tool for patients by helping facilitate their interactions with health care providers In a systemic review focused on the characteristics of fitness APPs and wearables to assist users overcome obesity and discovered that the wearables emphasize reminders tracking monitoring feedback and goals rewards The use of wearable devices for improving health care processes and outcomes is promising for health promotion among patients with chronic diseases such as obesity and diabetes
The level of circulating Gal-1 after diet- and exercise-induced body composition changes has previously never been examined Therefore we implemented a 6-month diet and exercise program which applied wearable device plus artificial intelligence APPs to investigate the association of changes in circulating Gal-with weight loss body composition and metabolic parameters among individuals with obesity
Materials and Methods Participants This study adopted a personalized 6-month personalized diet and exercise program to promote weight loss Subjects were recruited in outpatient clinics at the Department of Family Medicine National Taiwan University Hospital Overweight and obese adults were eligible for this study The criteria for overweight and obesity in Taiwan are as follows overweight is defined as 24 BMI kgm2 27 mild obesity is defined as 27 BMI kgm2 30 moderate obesity is defined as 30 BMI kgm2 35 and severe obesity is defined as 35 BMI kgm2 The exclusion criteria were as follows a body weight change greater than 3 in the previous three months a history of bariatric procedures untreated psychiatric disorders or currently using medications known to affect body weight This study was approved by the Ethics Committee of National Taiwan University Hospital 202011101RINB and written informed consent was obtained from all participants
Study design A total of 171 subjects were screened at the outpatient clinics Twenty-nine of the 171 participants were excluded from the study after screening because their BMI did not meet the criteria The remaining 142 subjects participated in body composition and biochemical analysis at baseline Ninety-eight of these subjects were willing to enter the 6-month weight loss program for diet and exercise intervention while the other 44 subjects preferred to stay in the cohort as the control group After enrollment the subjects were divided into two groups based on their preferences one group participated in a standard diet and exercise program while the other group received the same program along with a wearable watch and artificial intelligence APPs The wearable watch could be used to track and monitor various metrics including steps heart rates and calorie expenditure Outpatient clinic visits were scheduled in week 0 week 12 and week 24 Face-to-face diet and exercise education were conducted at each visit Participants also completed phone consultations in week 2 week 4 and week 8 by the case managers The case managers provided diet and exercise consultation and coaching for 10 minutes per consultation Medication for weight loss was not allowed during the training program
Data collection Participants weight height systolic blood pressure BP and diastolic BP were measured by a standard electronic scale of stadiometer and sphygmomanometer Body weight was assessed to the nearest 01 kg with the participant clothed in lightweight clothing Waist circumference was measured by the same trained operator Bioelectrical impedance analysis was performed for skeletal muscle fat-free mass body fat mass and body fat percentage Regarding blood analysis venous blood samples were collected from the participants following a minimum eight-hour fasting period Serum glucose total cholesterol high-density lipoprotein HDL cholesterol low-density lipoprotein LDL cholesterol and triglyceride levels were assessed by an automatic spectrophotometric assay HITACHI 7250 Japan Fasting insulin levels were measured by a microparticle enzyme immunoassay using an AxSYM system Abbott Laboratories Dainabot Co Tokyo Japan The homeostatic model assessment of insulin resistance HOMA-IR was applied as an indirect measure of the degree of insulin resistance HOMA-IRfasting insulin x fasting plasma glucose225 with glucose in mmolL and insulin in mULSerum galectin-1 cat no DGAL10 RD Systems MN USA levels were measured by an enzyme-linked immunosorbent assay ELISA kit that employed the quantitative sandwich enzyme immunoassay technique All body composition blood pressure and biochemical variables were measured on day 1 baseline and at the end of the intervention week 24
Diet and exercise intervention The subjects were divided into two groups based on their preferences Each participant received a standard diet and exercise program For those who opted for additional wearable devices a wearable watch and artificial intelligence apps were administered Each participant was suggested to aim for a daily target of 7500 steps This recommendation aligns with the guideline of achieving approximately 150 minutes of moderate-intensity aerobic physical activity per week as recommended by the World Health OrganizationThe standard dietary education encompasses instruction on the calculation of total caloric intake and emphasizes the principles of the Mediterranean diet Tailored dietary concepts are developed based on individual patient habits to give practical advice Each participant who chose an extra wearable device downloaded the APP to connect with the health management platform User interface of the health management platform collected data on the number of steps walked distance and heart rate spontaneously Participants recorded a dietary diary every day with a smartphone APP All collected information was uploaded to the health management platform too The well-trained case managers offered a platform to coach the participants to set-up a better self-managed lifestyle modification through strategies of emphasize reminders tracking monitoring feedback and goals rewards
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None