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Promoting Physical Activity Through Hand-Held Computer Technology
Open accessAbstract
Background Efforts to achieve population-wide increases in walking and similar moderate-intensity physical activities potentially can be enhanced through relevant applications of state-of-the-art interactive communication technologies. Yet few systematic efforts to evaluate the efficacy of hand-held computers and similar devices for enhancing physical activity levels have occurred. The purpose of this first-generation study was to evaluate the efficacy of a hand-held computer (i.e., personal digital assistant [PDA]) for increasing moderate intensity or more vigorous (MOD+) physical activity levels over 8 weeks in mid-life and older adults relative to a standard information control arm.Design Randomized, controlled 8-week experiment. Data were collected in 2005 and analyzed in 2006-2007.Setting/participants Community-based study of 37 healthy, initially underactive adults aged 50 years and older who were randomized and completed the 8-week study (intervention=19, control=18).Intervention Participants received an instructional session and a PDA programmed to monitor their physical activity levels twice per day and provide daily and weekly individualized feedback, goal setting, and support. Controls received standard, age-appropriate written physical activity educational materials.Main outcome measure Physical activity was assessed via the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire at baseline and 8 weeks.Results Relative to controls, intervention participants reported significantly greater 8-week mean estimated caloric expenditure levels and minutes per week in MOD+ activity (p<0.04). Satisfaction with the PDA was reasonably high in this largely PDA-naive sample.Conclusions Results from this first-generation study indicate that hand-held computers may be effective tools for increasing initial physical activity levels among underactive adults.
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Cites
Social Cognitive Theory: An Agentic Perspective
Bandura, A. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.1 · Cited by 15,510
CHAMPS Physical Activity Questionnaire for Older Adults: outcomes for interventions
Stewart, A. L., Mills, K. M., King, A. C., Haskell, W. L., Gillis, D., & Ritter, P. L. (2001) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200107000-00010 · Cited by 1,274
Self-citationForcing a sequential experiment to be balanced
EFRON, B. (1971) · Biometrika · doi:10.1093/biomet/58.3.403 · Cited by 873
A self-regulation program for maintenance of weight loss
Wing, R. R., Tate, D. F., Gorin, A. A., Raynor, H. A., & Fava, J. L. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061883 · Cited by 830
A Review of eHealth Interventions for Physical Activity and Dietary Behavior Change
Norman, G. J., Zabinski, M. F., Adams, M. A., Rosenberg, D. E., Yaroch, A. L., & Atienza, A. A. (2007) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.05.007 · Cited by 605
Self-citationKroeze, W., Werkman, A., & Brug, J. (2006) · Annals of Behavioral Medicine · doi:10.1207/s15324796abm3103_2 · Cited by 570
Accuracy of five electronic pedometers for measuring distance walked
BASSETT, D. R., AINSWORTH, B. E., LEGGETT, S. R., MATHIEN, C. A., MAIN, J. A., HUNTER, D. C., & DUNCAN, G. E. (1996) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199608000-00019 · Cited by 552
Establishing the computer-patient working alliance in automated health behavior change interventions
Bickmore, T., Gruber, A., & Picard, R. (2005) · Patient Education and Counseling · doi:10.1016/j.pec.2004.09.008 · Cited by 494
The Writing Group for the Activity Counseling Trial Research Group, T. W. G. F. T. A. C. T. R. G. (2001) · JAMA · doi:10.1001/jama.286.6.677 · Cited by 343
'It's just like you talk to a friend': relational agents for older adults
Bickmore, T. W., Caruso, L., Clough-Gorr, K., & Heeren, T. (2005) · Interacting with Computers · doi:10.1016/j.intcom.2005.09.002 · Cited by 341
Cited by
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Dunton, G. F., Atienza, A. A., Huh, J., Castro, C. M., Hedeker, D., & King, A. C. (2013) · International Journal of Statistics in Medical Research · doi:10.6000/1929-6029.2013.02.02.05 · Cited by 7
Self-citationCollombon, E. H. G. M., Bolman, C. A. W., Peels, D. A., de Bruijn, G., de Groot, R. H. M., & Lechner, L. (2022) · JMIR Research Protocols · doi:10.2196/31677 · Cited by 7
Signorini, G., Scurati, R., D’Angelo, C., Rigon, M., & Invernizzi, P. L. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1006876 · Cited by 9
Packer, H. S., Buzogany, G., Smith, D. A., Drăgan, L., Kleek, M. G. V., & Shadbolt, N. R. (2014) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2559206.2581283 · Cited by 7
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Ostrander, R. E., Thompson, H. J., & Demiris, G. (2014) · Journal of Gerontological Nursing · doi:10.3928/00989134-20140324-03 · Cited by 6
Behavioral Risk Factors for Overweight and Obesity
Sherwood, N. E., Senso, M. M., Fleming, C. K., & Roeder, A. M. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-391884-0.00026-3 · Cited by 6
Evaluation of an App to Support Healthy Living by Older Adults
Haslinda, Z., Sani, A., & Petrie, H. (2017) · Electronic workshops in computing · doi:10.14236/ewic/hci2017.42 · Cited by 5
Pauls, A., Gacek, S., Lipprandt, M., & Koppelin, F. (2019) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2019.05.009 · Cited by 6
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Farquhar, J. W. (2013) · Springer eBooks · doi:10.1007/978-0-387-09834-0_33 · Cited by 6
Behavioral Risk Factors for Overweight and Obesity
Seburg, E. M., Crane, M. M., & Sherwood, N. E. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-802928-2.00024-2 · Cited by 5
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Herrmanny, K., Beckmann, N., Nachbar, K., Sauer, H., Ziegler, J., & Doğangün, A. (2016) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2851581.2892378 · Cited by 5
Moore, G. F. (2010) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 5
Ghorai, K., Jahan, S., Chylinski, M., & RAY, P. K. (2013) · Journal of the Association for Information Systems · doi:10.13140/2.1.3666.4327 · Cited by 4
Sensor based coaching for a fit and healthy society
Varadharajan, V., Kannav, V., & Pasala, A. (2016) · IEEE International Symposium on Technology and Society (ISTAS) · doi:10.1109/istas.2016.7764275 · Cited by 4
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Crochiere, R. J., Butryn, M. L., Zhang, F., Beaulieu, K., Maher, J. P., Huang, Z., Cong, C., & Forman, E. M. (2024) · Health Psychology · doi:10.1037/hea0001358 · Cited by 3
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Hong, E., Jakacic, A. N., Sahoo, A., Breyman, E., Ukegbu, G., TABACOF, L. R., Sachs, D., Migliaccio, J., Phipps, C., Schwartz, J., et al. (2020) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2020.0060 · Cited by 3
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Kim, T., & Kirk, T. N. (2023) · Kinesiology Review · doi:10.1123/kr.2022-0049 · Cited by 2
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Are Nurses Prepared for Engagement to Evidence-Based Practice with New Technologies?
Saranto, K., Jylhä, V., & Kinnunen, U. (2011) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-60960-034-1.ch008 · Cited by 2
The Contribution of mHealth in the Care of Obese Pediatric Patients
Vlachopapadopoulou, E. A., & Fotiadis, D. I. (2016) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-4666-9861-1.ch007 · Cited by 2
Cognitive and Behavioral Approaches to Enhancing Exercise Participation
Stetson, B. A., Cooper, J. E., & Dubbert, P. M. (2013) · CRC Press eBooks · doi:10.1201/b13781-23 · Cited by 2
Lippke, S. (2017) · Springer eBooks · doi:10.1007/978-3-658-14550-7_8 · Cited by 2
Woensel, W. V., Baig, W., Abidi, S. S. R., & Abidi, S. (2017) · SWAT4LS · Cited by 2
Perreau, E., Belouahchi, S., Castel, D., & Loup‐Escande, É. (2023) · Review of European Studies · doi:10.5539/res.v15n4p1 · Cited by 1
Personalized Pain Diary on a Handheld Device
Hofmann, U., Michalski, T., Tronnier, V. M., & Bonsanto, M. M. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03904-1_38 · Cited by 1
Edwards, H. M., McDonald, S., Zhao, T., & Humphries, L. P. (2013) · Human Technology · doi:10.17011/ht/urn.201312042737 · Cited by 1
Next-Generation Automated Health Behavior Coaches
Hayes‐Roth, B., & Saker, R. (2009) · National Conference on Artificial Intelligence · Cited by 1
Potential of Mobile Applications in Prevention and Management of Cardio-Metabolic Diseases
Ramadas, A., & Fatt, Q. K. (2017) · Public Health - Open Journal · doi:10.17140/phoj-2-114
Management of Obese Pediatric Patients in the Digital Era
Vlachopapadopoulou, E. A., Georga, E. I., & Fotiadis, D. I. (2018) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-5225-8021-8.ch004 · Cited by 1
Realization of step exercises using the independent calorimetry during the period of self-isolation
Nagovitsyn, R. S., Osipov, A. Y., Kudryavtsev, M. D., Doroshenko, S. A., & Vapaeva, A. V. (2020) · Summer Conferences of Sports Science · doi:10.14198/jhse.2020.15.proc4.04 · Cited by 1
Desenvolvimento de aplicativo móvel para promoção do autocuidado de pacientes com fibromialgia
Yuan, S. L. K. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2019.tde-07022019-141750 · Cited by 2
Lin, S. (2020) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/151433 · Cited by 1
Maintaining Physical Activity Levels of Teachers in a Summer Intervention
Phillips, M. A. (2012) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.3497 · Cited by 1
Craig, L. (2013) · Enlighten: Theses (The University of Glasgow)
Cunningham, B. (2012) · Research@THEA
Almeida, G. J. (2015) · D-Scholarship@Pitt (University of Pittsburgh)
Lieffers, J. R. L. (2016) · UWSpace (University of Waterloo)
Community intervention trials in high-income countries
Farquhar, J. W., & Green, L. W. (2015) · doi:10.1093/med/9780199661756.003.0112
Jenkins, R. T. (2016) · Research Commons (University of Waikato)
Adaptive Algorithms for Personalized Health Monitoring
Engelhard, M. (2016) · doi:10.18130/v3wk7w
A social identity approach to understanding physical activity
Stevens, M. R. (2019) · Bournemouth University Research Online (Bournemouth University)
Monitoring everyday life in aging & dementia
Bartels, S. L. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20200917sb
talebi, E., Mohaddesi, H., Vahabzadeh, D., & Rasuli, J. (2021) · Research Square · doi:10.21203/rs.3.rs-714947/v1
Community intervention trials in high-income countries
Farquhar, J. W., & Green, L. W. (2021) · doi:10.1093/med/9780198816805.003.0033
Management of Obese Pediatric Patients in the Digital Era
Vlachopapadopoulou, E. A., Georga, E. I., & Fotiadis, D. I. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5360-5.ch026
Health Interventions, Community-based
Farquhar, J. W. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.14029-2
Wright, C. C. J., Dietze, P., Agius, P. A., Kuntsche, E. N., Livingstone, M., Black, O. C., Room, R., Hellard, M. E., & Lim, M. S. C. (2017) · doi:10.2196/preprints.9324.a
Yi, J., Lee, S. H., & Lee, S. (2023) · doi:10.2196/preprints.50906
Wheatley, M. C. (2024) · Premier journal of public health. · doi:10.70389/pjph.100009 · Cited by 1
Nath, A., Schimmelpfennig, S., & Konradt, U. (2025) · Occupational Health Science · doi:10.1007/s41542-025-00219-0
Altered Being in the Physical World
Waterworth, J. A. (2025) · Palgrave Studies in Cyberpsychology. · doi:10.1007/978-3-031-99832-4_6
Traunmüller, C., & Schwerdtfeger, A. R. (2025) · Journal of Neural Transmission · doi:10.1007/s00702-025-03046-3
A Human-Centered Design Framework for mHealth in Healthcare to Increase Healthy Aging
Awotunde, J. B., Abiodun, M. K., Adeniyi, A. E., Ajamu, G. J., AbdulRaheem, M., Oladipo, I. D., & Lawrence, M. O. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-99946-8_10
Focusing your walking intervention’s message
Friesner, D., McPherson, M. Q., & Patil, V. H. (2008) · Californian Journal of Health Promotion · doi:10.32398/cjhp.v6i1.1294
Dondzila, C. J. (2013) · UWM Digital Commons (University of Wisconsin–Milwaukee)
Metadata
- Authors
- King, A. C., Ahn, D. K., Oliveira, B. M., Atienza, A. A., Castro, C. M., & Gardner, C. D.
- Affiliations
- Stanford Medicine (US)
- National Cancer Institute (US)
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2008-02
- Volume
- 34
- Issue
- 2
- Pages
- 138-142
- ISSN
- 0749-3797 (ISSN-L)
- PMC
- PMC2715220
- OpenAlex
- W2029550498
- Cited by
- 160
- References
- 26
- Citations by year
- 2025: 4 · 2024: 2 · 2023: 3 · 2022: 6 · 2021: 7 · 2020: 9 · 2019: 10 · 2018: 7 · 2017: 12 · 2016: 14 · 2015: 16 · 2014: 12 · 2013: 25 · 2012: 8
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Public Health Service (5T32 H107034)
- National Heart, Lung, and Blood Institute (T32HL007034)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- physical activity promotion, personal digital assistants, moderate-to-vigorous physical activity, older adults, middle-aged adults, goal setting, energy expenditure, CHAMPS questionnaire, technology-based interventions
- MeSH terms
- Aged, Female, Health Promotion, Humans, Male, Middle Aged, Surveys and Questionnaires, United States, User-Computer Interface, Exercise, Computers, Handheld
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