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Results: 1 to 20 of 27

Cited In for PubMed (Select 7475027)

1.

The price elasticity of demand for heroin: Matched longitudinal and experimental evidence.

Olmstead TA, Alessi SM, Kline B, Pacula RL, Petry NM.

J Health Econ. 2015 May;41:59-71. doi: 10.1016/j.jhealeco.2015.01.008. Epub 2015 Feb 9.

PMID:
25702687
2.

Establishing an independent mobile health program for chronic disease self-management support in bolivia.

Piette JD, Valverde H, Marinec N, Jantz R, Kamis K, de la Vega CL, Woolley T, Pinto B.

Front Public Health. 2014 Aug 13;2:95. doi: 10.3389/fpubh.2014.00095. eCollection 2014.

3.

Changes in substance use-related health risk behaviors on the timeline follow-back interview as a function of length of recall period.

Buu A, Li R, Walton MA, Yang H, Zimmerman MA, Cunningham RM.

Subst Use Misuse. 2014 Aug;49(10):1259-69. doi: 10.3109/10826084.2014.891621. Epub 2014 Mar 6.

PMID:
24601785
4.

Use of novel technology-based techniques to improve alcohol-related outcomes in clinical trials.

Gurvich EM, Kenna GA, Leggio L.

Alcohol Alcohol. 2013 Nov-Dec;48(6):712-9. doi: 10.1093/alcalc/agt134. Epub 2013 Aug 17. Review.

5.

Alcohol, moods and male-female differences: daily interactive voice response over 6 months.

Harder VS, Ayer LA, Rose GL, Naylor MR, Helzer JE.

Alcohol Alcohol. 2014 Jan-Feb;49(1):60-5. doi: 10.1093/alcalc/agt069. Epub 2013 Jul 11.

6.

Daily mood-drinking slopes as predictors: a new take on drinking motives and related outcomes.

Mohr CD, Brannan D, Wendt S, Jacobs L, Wright R, Wang M.

Psychol Addict Behav. 2013 Dec;27(4):944-55. doi: 10.1037/a0032633. Epub 2013 May 6.

7.

Engagement with automated patient monitoring and self-management support calls: experience with a thousand chronically ill patients.

Piette JD, Rosland AM, Marinec NS, Striplin D, Bernstein SJ, Silveira MJ.

Med Care. 2013 Mar;51(3):216-23. doi: 10.1097/MLR.0b013e318277ebf8.

8.

Interactive voice response technology for symptom monitoring and as an adjunct to the treatment of chronic pain.

Lieberman G, Naylor MR.

Transl Behav Med. 2012 Mar;2(1):93-101. doi: 10.1007/s13142-012-0115-x. Review.

9.

A preliminary study of a cloud-computing model for chronic illness self-care support in an underdeveloped country.

Piette JD, Mendoza-Avelares MO, Ganser M, Mohamed M, Marinec N, Krishnan S.

Am J Prev Med. 2011 Jun;40(6):629-32. doi: 10.1016/j.amepre.2011.02.014.

10.

Effect of moderate alcohol intake on nocturnal sleep respiratory parameters in healthy middle-aged men.

Izumi I, Nasermoaddeli A, Sekine M, Kagamimori S.

Environ Health Prev Med. 2005 Jan;10(1):16-20. doi: 10.1265/ehpm.10.16.

11.

Evaluating the validity and utility of scaling alcohol consumption indices alongside AUD symptoms in treatment-seeking adolescents.

Hoeppner BB, Kahler CW, Jackson KM.

Drug Alcohol Depend. 2011 Jun 1;115(3):196-204. doi: 10.1016/j.drugalcdep.2010.10.023. Epub 2010 Dec 13.

12.

Practicing self-control lowers the risk of smoking lapse.

Muraven M.

Psychol Addict Behav. 2010 Sep;24(3):446-52. doi: 10.1037/a0018545.

13.

How good is fine-grained Timeline Follow-back data? Comparing 30-day TLFB and repeated 7-day TLFB alcohol consumption reports on the person and daily level.

Hoeppner BB, Stout RL, Jackson KM, Barnett NP.

Addict Behav. 2010 Dec;35(12):1138-43. doi: 10.1016/j.addbeh.2010.08.013. Epub 2010 Aug 13.

14.

Automated screening for at-risk drinking in a primary care office using interactive voice response.

Rose GL, Skelly JM, Badger GJ, Maclean CD, Malgeri MP, Helzer JE.

J Stud Alcohol Drugs. 2010 Sep;71(5):734-8.

15.
16.

College student employment and drinking: a daily study of work stressors, alcohol expectancies, and alcohol consumption.

Butler AB, Dodge KD, Faurote EJ.

J Occup Health Psychol. 2010 Jul;15(3):291-303. doi: 10.1037/a0019822.

17.

Challenges in using mobile phones for collection of antiretroviral therapy adherence data in a resource-limited setting.

Haberer JE, Kiwanuka J, Nansera D, Wilson IB, Bangsberg DR.

AIDS Behav. 2010 Dec;14(6):1294-301. doi: 10.1007/s10461-010-9720-1.

18.
19.

Ethanol consumption: how should we measure it? Achieving consilience between human and animal phenotypes.

Leeman RF, Heilig M, Cunningham CL, Stephens DN, Duka T, O'Malley SS.

Addict Biol. 2010 Apr;15(2):109-24. doi: 10.1111/j.1369-1600.2009.00192.x. Review.

20.

Interactive voice response technology can deliver alcohol screening and brief intervention in primary care.

Rose GL, MacLean CD, Skelly J, Badger GJ, Ferraro TA, Helzer JE.

J Gen Intern Med. 2010 Apr;25(4):340-4. doi: 10.1007/s11606-009-1233-0. Epub 2010 Feb 2.

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