Effects of a Web-Based Intervention on Physical Activity and Metabolism in Older Adults: Randomized Controlled Trial

被引:112
作者
Wijsman, Carolien A. [1 ]
Westendorp, Rudi G. J. [1 ,2 ]
Verhagen, Evert A. L. M. [3 ]
Catt, Michael [4 ]
Slagboom, Eline [5 ]
de Craen, Anton J. M. [1 ,6 ]
Broekhuizen, Karen [7 ]
van Mechelen, Willem [3 ]
van Heemst, Diana [1 ,6 ]
van der Ouderaa, Frans [2 ,6 ]
Mooijaart, Simon P. [1 ,6 ,7 ]
机构
[1] Leiden Univ, Med Ctr, Dept Gerontol & Geriatr, NL-2300 RC Leiden, Netherlands
[2] Leyden Acad Vital & Ageing, Leiden, Netherlands
[3] Vrije Univ Amsterdam Med Ctr, EMGO Inst, Dept Publ & Occupat Hlth, Amsterdam, Netherlands
[4] Newcastle Univ, Inst Ageing & Hlth, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[5] Leiden Univ, Med Ctr, Mol Epidemiol Sect, Dept Med Stat, NL-2300 RC Leiden, Netherlands
[6] Netherlands Consortium Hlth Ageing, Leiden, Netherlands
[7] IEMO, Inst Evidence Based Med Old Age, Leiden, Netherlands
关键词
physical activity; Internet; accelerometry; aging; metabolism; self-monitoring; CARDIOVASCULAR-DISEASE; COGNITIVE DECLINE; INTERNET; EXERCISE; MORTALITY; PROGRAM; EFFICACY; BEHAVIOR; RISK;
D O I
10.2196/jmir.2843
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Lack of physical activity leads to detrimental changes in body composition and metabolism, functional decline, and increased risk of disease in old age. The potential of Web-assisted interventions for increasing physical activity and improving metabolism in older individuals holds great promise but to our knowledge it has not been studied. Objective: The goal of our study was to assess whether a Web-based intervention increases physical activity and improves metabolic health in inactive older adults. Methods: We conducted a 3-month randomized, waitlist-controlled trial in a volunteer sample of 235 inactive adults aged 60-70 years without diabetes. The intervention group received the Internet program Philips DirectLife, which was directed at increasing physical activity using monitoring and feedback by accelerometer and digital coaching. The primary outcome was relative increase in physical activity measured objectively using ankle-and wrist-worn accelerometers. Secondary outcomes of metabolic health included anthropometric measures and parameters of glucose metabolism. Results: In total, 226 participants (97%) completed the study. At the ankle, activity counts increased by 46% (standard error [SE] 7%) in the intervention group, compared to 12% (SE 3%) in the control group (P-difference<.001). Measured at the wrist, activity counts increased by 11% (SE 3%) in the intervention group and 5% (SE 2%) in the control group (P-difference=.11). After processing of the data, this corresponded to a daily increase of 11 minutes in moderate-to-vigorous activity in the intervention group versus 0 minutes in the control group (P-difference=.001). Weight decreased significantly more in the intervention group compared to controls (-1.5 kg vs -0.8 kg respectively, P=.046), as did waist circumference (-2.3 cm vs -1.3 cm respectively, P=.036) and fat mass (-0.6% vs 0.07% respectively, P=.025). Furthermore, insulin and HbA1c levels were significantly more reduced in the intervention group compared to controls (both P<.05). Conclusions: This was the first study to show that in inactive older adults, a 3-month Web-based physical activity intervention was effective in increasing objectively measured daily physical activity and improving metabolic health. Such Web-based interventions provide novel opportunities for large scale prevention of metabolic deregulation in our rapidly aging population.
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页数:13
相关论文
共 32 条
  • [1] Estimation of Free-Living Energy Expenditure Using a Novel Activity Monitor Designed to Minimize Obtrusiveness
    Bonomi, Alberto G.
    Plasqui, Guy
    Goris, Annelies H. C.
    Westerterp, Klass R.
    [J]. OBESITY, 2010, 18 (09) : 1845 - 1851
  • [2] Effects of an Internet Physical Activity Intervention in Adults With Metabolic Syndrome
    Bosak, Kelly A.
    Yates, Bernice
    Pozehl, Bunny
    [J]. WESTERN JOURNAL OF NURSING RESEARCH, 2010, 32 (01) : 5 - 22
  • [3] Total daily physical activity and the risk of AD and cognitive decline in older adults
    Buchman, A. S.
    Boyle, P. A.
    Yu, L.
    Shah, R. C.
    Wilson, R. S.
    Bennett, D. A.
    [J]. NEUROLOGY, 2012, 78 (17) : 1323 - 1329
  • [4] Internet-delivered behavior change program increases physical activity and improves cardiometabolic disease risk factors in sedentary adults: Results of a randomized controlled trial
    Carr, Lucas J.
    Bartee, R. Todd
    Dorozynski, Chris
    Broomfield, James F.
    Smith, Marci L.
    Smith, Derek T.
    [J]. PREVENTIVE MEDICINE, 2008, 46 (05) : 431 - 438
  • [5] Central Bureau of Statistics, 2013, ICT US NETH
  • [6] Meta-analysis of internet-delivered interventions to increase physical activity levels
    Davies, Cally A.
    Spence, John C.
    Vandelanotte, Corneel
    Caperchione, Cristina M.
    Mummery, W. Kerry
    [J]. INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2012, 9
  • [7] Differential beliefs, perceived social influences, and self-efficacy expectations among smokers in various motivational phases
    De Vries, H
    Mudde, AN
    Dijkstra, A
    Willemsen, MC
    [J]. PREVENTIVE MEDICINE, 1998, 27 (05) : 681 - 689
  • [8] Effects of nurse counseling on walking for exercise in elderly primary care patients
    Dubbert, PM
    Cooper, KM
    Kirchner, KA
    Meydrech, EF
    Bilbrew, D
    [J]. JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2002, 57 (11): : M733 - M740
  • [9] Validation of the GENEA Accelerometer
    Esliger, Dale W.
    Rowlands, Ann V.
    Hurst, Tina L.
    Catt, Michael
    Murray, Peter
    Eston, Roger G.
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 2011, 43 (06) : 1085 - 1093
  • [10] CONSORT-EHEALTH: Improving and Standardizing Evaluation Reports of Web-based and Mobile Health Interventions
    Eysenbach, Gunther
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2011, 13 (04)