Atienza AA - Search Results

1

The promise of intensive longitudinal data capture for behavioral health research.

Ginexi EM, Riley W, Atienza AA, Mabry PL. Ginexi EM, et al. Among authors: atienza aa. Nicotine Tob Res. 2014 May;16 Suppl 2(Suppl 2):S73-5. doi: 10.1093/ntr/ntt273. Nicotine Tob Res. 2014. PMID: 24711629 Free PMC article.

2

Advancing Cancer Prevention and Behavior Theory in the Era of Big Data.

Atienza AA, Serrano KJ, Riley WT, Moser RP, Klein WM. Atienza AA, et al. J Cancer Prev. 2016 Sep;21(3):201-206. doi: 10.15430/JCP.2016.21.3.201. Epub 2016 Sep 30. J Cancer Prev. 2016. PMID: 27722147 Free PMC article.

3

Mobile and Wireless Technologies in Health Behavior and the Potential for Intensively Adaptive Interventions.

Riley WT, Serrano KJ, Nilsen W, Atienza AA. Riley WT, et al. Among authors: atienza aa. Curr Opin Psychol. 2015 Oct 1;5:67-71. doi: 10.1016/j.copsyc.2015.03.024. Curr Opin Psychol. 2015. PMID: 26086033 Free PMC article.

4

Willingness to Exchange Health Information via Mobile Devices: Findings From a Population-Based Survey.

Serrano KJ, Yu M, Riley WT, Patel V, Hughes P, Marchesini K, Atienza AA. Serrano KJ, et al. Among authors: atienza aa. Ann Fam Med. 2016 Jan-Feb;14(1):34-40. doi: 10.1370/afm.1888. Ann Fam Med. 2016. PMID: 26755781 Free PMC article.

5

Health behavior models in the age of mobile interventions: are our theories up to the task?

Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Riley WT, et al. Among authors: atienza aa. Transl Behav Med. 2011 Mar;1(1):53-71. doi: 10.1007/s13142-011-0021-7. Transl Behav Med. 2011. PMID: 21796270 Free PMC article. Review.

6

Advancing the science of mHealth.

Nilsen W, Kumar S, Shar A, Varoquiers C, Wiley T, Riley WT, Pavel M, Atienza AA. Nilsen W, et al. Among authors: atienza aa. J Health Commun. 2012;17 Suppl 1:5-10. doi: 10.1080/10810730.2012.677394. J Health Commun. 2012. PMID: 22548593

7

Mobile health technology evaluation: the mHealth evidence workshop.

Kumar S, Nilsen WJ, Abernethy A, Atienza A, Patrick K, Pavel M, Riley WT, Shar A, Spring B, Spruijt-Metz D, Hedeker D, Honavar V, Kravitz R, Lefebvre RC, Mohr DC, Murphy SA, Quinn C, Shusterman V, Swendeman D. Kumar S, et al. Am J Prev Med. 2013 Aug;45(2):228-36. doi: 10.1016/j.amepre.2013.03.017. Am J Prev Med. 2013. PMID: 23867031 Free PMC article.

8

Characterizing user engagement with health app data: a data mining approach.

Serrano KJ, Coa KI, Yu M, Wolff-Hughes DL, Atienza AA. Serrano KJ, et al. Among authors: atienza aa. Transl Behav Med. 2017 Jun;7(2):277-285. doi: 10.1007/s13142-017-0508-y. Transl Behav Med. 2017. PMID: 28616846 Free PMC article.

9

Mining Health App Data to Find More and Less Successful Weight Loss Subgroups.

Serrano KJ, Yu M, Coa KI, Collins LM, Atienza AA. Serrano KJ, et al. Among authors: atienza aa. J Med Internet Res. 2016 Jun 14;18(6):e154. doi: 10.2196/jmir.5473. J Med Internet Res. 2016. PMID: 27301853 Free PMC article.

10

The need for time-intensive information in healthful eating and physical activity research: a timely topic.

Dunton GF, Atienza AA. Dunton GF, et al. Among authors: atienza aa. J Am Diet Assoc. 2009 Jan;109(1):30-5. doi: 10.1016/j.jada.2008.10.019. J Am Diet Assoc. 2009. PMID: 19103320 No abstract available.

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