A Novel Diabetes Prevention Intervention Using a Mobile App: A Randomized Controlled Trial With Overweight Adults at Risk.
暂无分享,去创建一个
[1] M. Weissman,et al. Assessing depressive symptoms in five psychiatric populations: a validation study. , 1977, American journal of epidemiology.
[2] K. Vranizan,et al. Assessment of habitual physical activity by a seven-day recall in a community survey and controlled experiments. , 1985, American journal of epidemiology.
[3] T. Patterson,et al. The development of scales to measure social support for diet and exercise behaviors. , 1987, Preventive medicine.
[4] Chris Preston,et al. What you need to know to knead , 1989 .
[5] G Block,et al. Validation of a self-administered diet history questionnaire using multiple diet records. , 1990, Journal of clinical epidemiology.
[6] R. Niaura,et al. Self-efficacy and the stages of exercise behavior change. , 1992, Research quarterly for exercise and sport.
[7] P. B. Eveleth,et al. Physical Status: The Use and Interpretation of Anthropometry. Report of a WHO Expert Committee , 1996 .
[8] A. R. Frisancho. Physical Status: The Use and Interpretation of Anthropometry , 1996, The American Journal of Clinical Nutrition.
[9] B. Howard,et al. Effects of Diet and Exercise in Preventing NIDDM in People With Impaired Glucose Tolerance: The Da Qing IGT and Diabetes Study , 1997, Diabetes Care.
[10] S. Borson,et al. The Mini‐Cog: a cognitive ‘vital signs’ measure for dementia screening in multi‐lingual elderly , 2000, International journal of geriatric psychiatry.
[11] T. Valle,et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. , 2001, The New England journal of medicine.
[12] S. Fowler,et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. , 2002 .
[13] Peijun Chen,et al. The Mini‐Cog as a Screen for Dementia: Validation in a Population‐Based Sample , 2003, Journal of the American Geriatrics Society.
[14] Ping Zhang,et al. Costs associated with the primary prevention of type 2 diabetes mellitus in the diabetes prevention program. , 2003, Diabetes care.
[15] Hideo Ayame,et al. [The Da Qing IGT and Diabetes study]. , 2005, Nihon rinsho. Japanese journal of clinical medicine.
[16] Mark A Hlatky,et al. Practice of Epidemiology Validation of a New Brief Physical Activity Survey among Men and Women Aged 60 – 69 Years , 2006 .
[17] B E Ainsworth,et al. BMI-referenced cut points for pedometer-determined steps per day in adults. , 2008, Journal of physical activity & health.
[18] L. Keele,et al. Identification, Inference and Sensitivity Analysis for Causal Mediation Effects , 2010, 1011.1079.
[19] Ryan J. Shaw,et al. Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review , 2012, Health Informatics J..
[20] T. Wadden,et al. Lifestyle Modification for Obesity: New Developments in Diet, Physical Activity, and Behavior Therapy , 2012, Circulation.
[21] B. Caballero,et al. Use and interpretation of anthropometry , 2012 .
[22] K. Patrick,et al. Outcomes of a 12-Month Technology-Based Intervention to Promote Weight Loss in Adolescents at Risk for Type 2 Diabetes , 2013, Journal of diabetes science and technology.
[23] C. Toumazou,et al. Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. , 2013, The lancet. Diabetes & endocrinology.
[24] M. Carter,et al. Adherence to a Smartphone Application for Weight Loss Compared to Website and Paper Diary: Pilot Randomized Controlled Trial , 2013, Journal of medical Internet research.
[25] P. Cudd,et al. Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials , 2012, Obesity reviews : an official journal of the International Association for the Study of Obesity.
[26] A. Haines,et al. The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review , 2013, PLoS medicine.
[27] Andrew T. Kaczynski,et al. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program , 2013, J. Am. Medical Informatics Assoc..
[28] Devin Mann,et al. Evidence-based strategies in weight-loss mobile apps. , 2013, American journal of preventive medicine.
[29] P. Lin,et al. A text messaging‐assisted randomized lifestyle weight loss clinical trial among overweight adults in Beijing , 2014, Obesity.
[30] Francesc Saigí-Rubió,et al. Use of mobile phones as a tool for weight loss: a systematic review , 2014, Journal of telemedicine and telecare.
[31] L. Lyzwinski,et al. A Systematic Review and Meta-Analysis of Mobile Devices and Weight Loss with an Intervention Content Analysis , 2014, Journal of personalized medicine.