Enhancing adherence: Predictors of dropout in web-based dietary interventions

Kirsikka Kaipainen; Brian Wansink

doi:10.1016/j.jneb.2012.03.082

Enhancing adherence: Predictors of dropout in web-based dietary interventions

Kirsikka Kaipainen, Brian Wansink

VTT Technical Research Centre of Finland

Cornell University

Research output: Contribution to journal › Other journal contribution › Scientific

Abstract

Online interventions can potentially reach large populations, but they are plagued by high attrition rates. Ability to predict who will drop out would help in intervention tailoring.

Original language	English
Pages (from-to)	S39
Number of pages	1
Journal	Journal of Nutrition Education and Behavior
Volume	44
Issue number	4, Supplement
DOIs	https://doi.org/10.1016/j.jneb.2012.03.082
Publication status	Published - 2012
MoE publication type	B1 Article in a scientific magazine
Event	Society for Nutrition Education and Behavior 45th Annual Conference - Washington, DC, United States Duration: 14 Jul 2012 → 17 Jul 2012

Keywords

Adherence
online intervention
predictors

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10.1016/j.jneb.2012.03.082

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@article{ff237184f09543ae97dc520321cafa71,

title = "Enhancing adherence: Predictors of dropout in web-based dietary interventions",

abstract = "Online interventions can potentially reach large populations, but they are plagued by high attrition rates. Ability to predict who will drop out would help in intervention tailoring.",

keywords = "Adherence, online intervention, predictors",

author = "Kirsikka Kaipainen and Brian Wansink",

note = "Project code: 72578; Society for Nutrition Education and Behavior 45th Annual Conference, SNEB 2012 ; Conference date: 14-07-2012 Through 17-07-2012",

year = "2012",

doi = "10.1016/j.jneb.2012.03.082",

language = "English",

volume = "44",

pages = "S39",

journal = "Journal of Nutrition Education and Behavior",

issn = "1499-4046",

publisher = "Elsevier",

number = "4, Supplement",

}

TY - JOUR

T1 - Enhancing adherence

T2 - Society for Nutrition Education and Behavior 45th Annual Conference

AU - Kaipainen, Kirsikka

AU - Wansink, Brian

N1 - Project code: 72578

PY - 2012

Y1 - 2012

N2 - Online interventions can potentially reach large populations, but they are plagued by high attrition rates. Ability to predict who will drop out would help in intervention tailoring.

AB - Online interventions can potentially reach large populations, but they are plagued by high attrition rates. Ability to predict who will drop out would help in intervention tailoring.

KW - Adherence

KW - online intervention

KW - predictors

U2 - 10.1016/j.jneb.2012.03.082

DO - 10.1016/j.jneb.2012.03.082

M3 - Other journal contribution

SN - 1499-4046

VL - 44

SP - S39

JO - Journal of Nutrition Education and Behavior

JF - Journal of Nutrition Education and Behavior

IS - 4, Supplement

Y2 - 14 July 2012 through 17 July 2012

ER -

Enhancing adherence: Predictors of dropout in web-based dietary interventions

Abstract

Keywords

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