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Audie A. Atienza, Brian Oliveira, B.J. Fogg and Abby C. King

This pilot investigation used portable electronic diaries to assess the physical activity and other health behaviors of 20 adults age 50+ (mean age = 61 years). Study aims were to examine whether computerized cognitive-behavioral strategies could increase adherence to the assessments, the acceptability of electronic diaries to assess everyday health, and the relationship between computerized physical activity assessments with a standardized physical activity measure. Although approximately two thirds of participants had never used an electronic diary, results indicated that a large majority (83%) reported enjoying the use of the electronic diaries, and most (72%) reported enjoying answering all of the health questions. The cognitive-behavioral strategies employed did not enhance assessment adherence, but electronic-diary-based activity levels corresponded more strongly with the poststudy standardized activity measure than the baseline standardized measure, providing evidence of temporal convergence. Findings suggest that the use of portable electronic technology in physical activity assessment of middle-aged and older adults deserves further study.

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Steriani Elavsky, Lenka Knapova, Adam Klocek and David Smahel

mobile apps is increasing, but whether such approaches for modifying and sustaining sleep, PA, and SBs will live up to the promise of expectations remains to be determined. The term mobile health or mHealth (a subcomponent of eHealth) specifically denotes the use of mobile devices in support of medical

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Rodney P. Joseph, Kathryn E. Royse and Tanya J. Benitez

PA in these high-risk populations. One strategy that may be particularly useful in promoting PA among racial/ethnic minority women is electronic and mobile health (ie, eHealth and mHealth) interventions, as an emerging body of research has shown these types of interventions to be efficacious for

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Patty Freedson

.F. , . . . Pierce , J.P. ( 2015 ). Wearable sensor/device (Fitbit One) and SMS text-messaging prompts to increase physical activity in overweight and obese adults: a randomized controlled trial . Telemedicine and e-Health, 21 ( 10 ), 782 – 792 . PubMed ID: 26431257 doi:10.1089/tmj.2014.0176 10.1089/tmj.2014.0176

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Albert R. Mendoza, Kate Lyden, John Sirard, John Staudenmayer, Catrine Tudor-Locke and Patty S. Freedson

:// Beevi , F.H. , Miranda , J. , Pedersen , C.F. , & Wagner , S. ( 2016 ). An evaluation of commercial pedometers for monitoring slow walking speed populations . Telemedicine Journal and e-Health, 22 ( 5 ), 441 – 449 . PubMed ID: 26451900 doi:10.1089/tmj.2015.0120 10.1089/tmj.2015.0120 Byun

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Shijun Zhu, Eun-Shim Nahm, Barbara Resnick, Erika Friedmann, Clayton Brown, Jumin Park, Jooyoung Cheon and DoHwan Park

), and the intervention effect on exercise was maintained at 12 months with biweekly eHealth newsletters and follow-ups. It is not clear, however, whether these changes in exercise were due to changes in self-efficacy or other factors that influence exercise behavior. This secondary data analysis tests

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Nadja Schott and Maike Tietjens

, S. ( 2016 ). An evaluation of commercial pedometers for monitoring slow walking speed populations . Telemedicine Journal and e-Health, 22 , 441 – 449 . PubMed ID: 26451900 doi:10.1089/tmj.2015.0120 10.1089/tmj.2015.0120 Bentler , P.M. , & Chou , C.H. ( 1987 ). Practical issues in

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Janet M. Boekhout, Brenda A.J. Berendsen, Denise A. Peels, Catherine A.W. Bolman and Lilian Lechner

generalization of the results to the whole population of single older adults. High attrition, however, is regularly seen in eHealth interventions and is comparable with similarly designed studies ( Eysenbach, 2005 ). Conclusions In previous research, increases in PA were often associated with decreases in

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Freja Gheysen, Karel Herman and Delfien Van Dyck

desirability bias; Rikli, 2000 ), it has been recommended that self-reported and objective measures of PA be combined in research ( Dowd et al., 2018 ). Consequently, accelerometer-based MVPA was additionally examined as an outcome measure. Methods Participants and Procedure Cross-sectional data from an (e-health

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Alexander H.K. Montoye, Scott A. Conger, Joe R. Mitrzyk, Colby Beach, Alecia K. Fox and Jeremy A. Steeves

International Conference on e-Health Networking, Applications and Services , Beijing, China . Dong , B. , Montoye , A. , Moore , R. , Pfeiffer , K. , & Biswas , S. ( 2013 ). Energy-aware activity classification using wearable sensor networks . Proceedings of SPIE--the International Society for