Effect of Mobile-Based Lifestyle Intervention on Body Weight, Glucose and Lipid Metabolism among the Overweight and Obese Elderly Population in China: A Randomized Controlled Trial Protocol.
Yu ZhangXiaohui GuoNa ZhangXinyu YanMuxia LiMingzhu ZhouHairong HeYibin LiWen GuoMan ZhangJianfen ZhangGuansheng MaPublished in: International journal of environmental research and public health (2021)
Background: Promotion of a healthy lifestyle is considered a good strategy for dealing with chronic diseases. Mobile-based lifestyle interventions have shown beneficial effects in the control and treatment of chronic diseases such as diabetes, obesity and metabolic syndrome. Current clinical trials for mobile-based lifestyle intervention were mainly conducted among non-elderly populations, thus well-designed trials performed among the elderly who are more susceptible to chronic diseases are needed. The study aims to assess the effect of the mobile-based lifestyle intervention on the improvement of body weight, glucose and lipid metabolism among overweight and obese elderly adults in China. Materials and Methods: Participants aged 60-80 years who are overweight or obese will be randomly assigned to receive mobile-based nutrition and exercise intervention, mobile-based exercise intervention and no intervention for 3 months. Before the intervention, participants will receive the training of the mobile application and sports bracelet. The primary outcome will be the between-group (three groups) difference in body mass index at the end of intervention. The secondary outcomes will include body composition, parameters of glucose and lipid metabolism, blood pressure, dietary data and physical activity data. All these outcomes will be assessed at baseline, day 45 and day 90. Ethics and dissemination: The trial has been approved by the Ethics Committee of Peking University Health Science Center (IRB00001052-18039).
Keyphrases
- physical activity
- metabolic syndrome
- randomized controlled trial
- weight loss
- body weight
- body composition
- body mass index
- cardiovascular disease
- clinical trial
- public health
- blood pressure
- type diabetes
- study protocol
- healthcare
- blood glucose
- big data
- middle aged
- mental health
- resistance training
- bariatric surgery
- adipose tissue
- high intensity
- uric acid
- community dwelling
- machine learning
- risk assessment
- artificial intelligence
- fatty acid
- health information
- depressive symptoms
- combination therapy
- climate change
- human health