scholarly journals The cost-effectiveness of an updated theory-based online health behavior intervention for new university students: U@Uni2

2016 ◽  
Vol 8 (10) ◽  
pp. 191-203
Author(s):  
Thomas Chloe ◽  
Breeze Penny ◽  
Strong Mark ◽  
Brennan Alan ◽  
Norman Paul ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Health Behavior ◽  
University Students ◽  
Behavior Intervention ◽  
Health Behavior Intervention ◽  
The Cost

scholarly journals A theory-based online health behavior intervention for new university students: study protocol

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Tracy Epton ◽  
Paul Norman ◽  
Paschal Sheeran ◽  
Peter R Harris ◽  
Thomas L Webb ◽  
...  
Keyword(s):  
Health Behavior ◽  
University Students ◽  
Study Protocol ◽  
Behavior Intervention ◽  
Health Behavior Intervention

scholarly journals Translation of a comprehensive health behavior intervention for women living with HIV: the SMART/EST Women's Program

2013 ◽  
Vol 3 (4) ◽  
pp. 416-425 ◽  
Author(s):  
Deborah L Jones ◽  
Maria Lopez ◽  
Hannah Simons ◽  
Marleny Diaz-Gloster ◽  
Jonathan N Tobin ◽  
...  
Keyword(s):  
Health Behavior ◽  
Behavior Intervention ◽  
Women Living With Hiv ◽  
Comprehensive Health ◽  
Health Behavior Intervention ◽  
Living With Hiv

scholarly journals A Comparison of Mean-Based and Quantile Regression Methods for Analyzing Self-Report Dietary Intake Data

2019 ◽  
Vol 2019 ◽  
pp. 1-5
Author(s):  
Michelle L. Vidoni ◽  
Belinda M. Reininger ◽  
MinJae Lee
Keyword(s):  
Health Behavior ◽  
Dietary Intake ◽  
Quantile Regression ◽  
Unobserved Heterogeneity ◽  
Study Groups ◽  
Behavior Intervention ◽  
Self Report ◽  
Unhealthy Eating ◽  
Health Behavior Intervention ◽  
The Impact

In mean-based approaches to dietary data analysis, it is possible for potentially important associations at the tails of the intake distribution, where inadequacy or excess is greatest, to be obscured due to unobserved heterogeneity. Participants in the upper or lower tails of dietary intake data will potentially have the greatest change in their behavior when presented with a health behavior intervention; thus, alternative statistical methods to modeling these relationships are needed to fully describe the impact of the intervention. Using data from Tu Salud ¡Si Cuenta! (Your Health Matters!) at Home Intervention, we aimed to compare traditional mean-based regression to quantile regression for describing the impact of a health behavior intervention on healthy and unhealthy eating indices. The mean-based regression model identified no differences in dietary intake between intervention and standard care groups. In contrast, the quantile regression indicated a nonconstant relationship between the unhealthy eating index and study groups at the upper tail of the unhealthy eating index distribution. The traditional mean-based linear regression was unable to fully describe the intervention effect on healthy and unhealthy eating, resulting in a limited understanding of the association.

“I Have to Age in This Body”: Lesbian and Bisexual Older Women's Perspectives on a Health Behavior Intervention

2016 ◽  
Vol 26 ◽  
pp. S63-S70 ◽  
Author(s):  
Jane A. McElroy ◽  
Karla T. Washington ◽  
Jenna J. Wintemberg ◽  
Amy Williams ◽  
Sarah Davis Redman
Keyword(s):  
Health Behavior ◽  
Behavior Intervention ◽  
Health Behavior Intervention ◽  
And Bisexual
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