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Full-Text Articles in Life Sciences
Health Disparities Score Composite Of Youth And Parent Dyads From An Obesity Prevention Intervention: Icook 4-H, Melissa D. Olfert, Makenzie L. Barr, Rebecca L. Hagedorn, Lisa Franzzen-Castle, Sarah E. Colby, Kendra K. Kattelmann, Adrienne A. White
Health Disparities Score Composite Of Youth And Parent Dyads From An Obesity Prevention Intervention: Icook 4-H, Melissa D. Olfert, Makenzie L. Barr, Rebecca L. Hagedorn, Lisa Franzzen-Castle, Sarah E. Colby, Kendra K. Kattelmann, Adrienne A. White
Faculty & Staff Scholarship
iCook 4-H is a lifestyle intervention to improve diet, physical activity and mealtime behavior. Control and treatment dyads (adult primary meal preparer and a 9–10-year-old youth) completed surveys at baseline and 4, 12, and 24 months. A Health Disparity (HD) score composite was developed utilizing a series of 12 questions (maximum score = 12 with a higher score indicating a more severe health disparity). Questions came from the USDA short form U.S. Household Food Security Survey (5), participation in food assistance programs (1), food behavior (2), level of adult education completed (1), marital status (1), and race (1 adult and …
Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala
Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala
Sugam Sharma
The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of …
Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala
Contextual Motivation In Physical Activity By Means Of Association Rule Mining, Sugam Sharma, Udoyara Sunday Tim, Marinelle Payton, Hari Cohly, Shashi Gadia, Johnny Wong, Sudharshanam Karakala
Johnny Wong
The primary thrust of this work is to demonstrate the applicability of association rule mining in public health domain, focusing on physical activity and exercising. In this paper, the concept of association rule mining is shown assisting to promote the physical exercise as regular human activity. Specifically, similar to the prototypical example of association rule mining, market basket analysis, our proposed novel approach considers two events – exercise (sporadic) and sleep (regular) as the two items of the frequent set; and associating the former, exercise event, with latter, the daily occurring activity sleep at night, helps strengthening the frequency of …
G06-1033 It's Snack Time, Linda S. Boeckner, Karen Schledewitz
G06-1033 It's Snack Time, Linda S. Boeckner, Karen Schledewitz
University of Nebraska-Lincoln Extension: Historical Materials
Snacks are the foods we eat outside of a more structured meal setting. Snacking can be a part of a healthy eating plan or it can be a harmful habit. The difference between harmful and healthy snacking is up to you. Think about what, when, how often and how much you eat snacks.
In this NebGuide, learn how snacks affect your overall diet and how to select healthful snacks that meet your dietary needs.