کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7307264 | 1475377 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identifying users of traditional and Internet-based resources for meal ideas: An association rule learning approach
ترجمه فارسی عنوان
شناسایی کاربران از منابع سنتی و مبتنی بر اینترنت برای ایده های تغذیه: یک قاعده یادگیری سازمانی
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کلمات کلیدی
پخت و پز خانه ایده های غذا، اینترنت، رسانه های اجتماعی، قوانین انجمن، روش شناسی،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
چکیده انگلیسی
Increasing home cooking while decreasing the consumption of food prepared away from home is a commonly recommended weight management strategy, however research on where individuals obtain ideas about meals to cook at home is limited. This study examined the characteristics of individuals who reported using traditional and Internet-based resources for meal ideas. 583 participants who were â¥50% responsible for household meal planning were recruited to approximate the 2014 United States Census distribution on sex, age, race/ethnicity, and household income. Participants reported demographic characteristics, home cooking frequency, and their use of 4 traditional resources for meal ideas (e.g., cookbooks), and 7 Internet-based resources for meal ideas (e.g., Pinterest) in an online survey. Independent samples t-tests compared home cooking frequency by resource use. Association rule learning identified those demographic characteristics that were significantly associated with resource use. Family and friends (71%), food community websites (45%), and cookbooks (41%) were the most common resources reported. Cookbook users reported preparing more meals at home per week (M = 9.65, SD = 5.28) compared to non-cookbook users (M = 8.11, SD = 4.93; t = â3.55, p < 0.001). Resource use was generally higher among parents and varied systematically with demographic characteristics. Findings suggest that home cooking interventions may benefit by modifying resources used by their target population.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Appetite - Volume 103, 1 August 2016, Pages 128-136
Journal: Appetite - Volume 103, 1 August 2016, Pages 128-136
نویسندگان
Allison E. Doub, Meg L. Small, Aron Levin, Kristie LeVangie, Timothy R. Brick,