東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Analysis of advertisement, diet, and...

Park, Jaehong.

FindBook

Google Book

Amazon

博客來

Analysis of advertisement, diet, and health issues using micro-level data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of advertisement, diet, and health issues using micro-level data./
作者:	Park, Jaehong.
面頁冊數:	180 p.
附註:	Source: Dissertation Abstracts International, Volume: 61-07, Section: A, page: 2612.
Contained By:	Dissertation Abstracts International61-07A.
標題:	Education, Health. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9980198
ISBN:	0599862629

Analysis of advertisement, diet, and health issues using micro-level data.
Park, Jaehong.

Analysis of advertisement, diet, and health issues using micro-level data. - 180 p.

Source: Dissertation Abstracts International, Volume: 61-07, Section: A, page: 2612.

Thesis (Ph.D.)--Texas A&M University, 2000.

This dissertation focuses on three issues related to health, diet, and advertisement using the 1994--96 Continuing Survey of Food Intakes by Individuals and the accompanying Diet and Health Knowledge Survey (CSFII/DHKS).

ISBN: 0599862629Subjects--Topical Terms:

1017668
Education, Health.

Analysis of advertisement, diet, and health issues using micro-level data.
LDR:03269nmm 2200349 4500 001 1814445
005 20060526065251.5
008 130610s2000 eng d
020 $a 0599862629
035 $a (UnM)AAI9980198
035 $a AAI9980198
040 $a UnM $c UnM
100 1 $a Park, Jaehong. $3 1675188
245 1 0 $a Analysis of advertisement, diet, and health issues using micro-level data.
300 $a 180 p.
500 $a Source: Dissertation Abstracts International, Volume: 61-07, Section: A, page: 2612.
500 $a Chair: Oral Capps, Jr.
502 $a Thesis (Ph.D.)--Texas A&M University, 2000.
520 $a This dissertation focuses on three issues related to health, diet, and advertisement using the 1994--96 Continuing Survey of Food Intakes by Individuals and the accompanying Diet and Health Knowledge Survey (CSFII/DHKS).
520 $a The first pertains to assessing the applicability of certain questions from CSFII/DHKS in explaining total fat and saturated fat intakes as well as in meeting the guideline for fat. The results demonstrate that the set of 19 behavioral questions, which correspond to numbers 26--37 in the 1994--96 DHKS, is statistically significant as a predictor of total fat and saturated fat intake.
520 $a The second pertains to identifying and assessing advertisement and other factors affecting the decision to consume pork, the absolute level of pork intake, and the amount of pork intake relative to all meat intakes. The major finding is that branded and generic advertising of pork as well as beef advertising affect not only the probability of consuming pork but also the absolute and relative amounts of pork consumption. Also, there are notable differences in measuring the impacts of generic advertising contingent upon data from Leading National Advertisers, Bozell Worldwide, and National Pork Producers Council.
520 $a The third focuses on constructing profiles of consumers who meet or fail to meet the seven dietary guidelines from Dietary Guidelines for Americans . The profiles of consumers suggest that U.S. individuals have, in general, a low probability of meeting any particular dietary guideline. Generally, individuals who are located in the South, who reside in the central cities, who are from larger households, who are employed, who have larger body mass, and who do not read the ingredients of foods do not meet dietary guidelines.
520 $a Significant key factors in common in the three studies are certain demographic indicators, namely income, age, region, gender, urbanization, and race. Also, certain health and nutritional factors are common significant factors: smoking status, dietary status, body mass index, the importance of a low cholesterol diet, and the importance of nutrition in buying food. These results are then beneficial to policy makers, to food industry analysts as well as to consumers in designing and assessing intervention/monitoring programs.
590 $a School code: 0803.
650 4 $a Education, Health. $3 1017668
650 4 $a Economics, Agricultural. $3 626648
650 4 $a Business Administration, Marketing. $3 1017573
650 4 $a Health Sciences, Nutrition. $3 1017801
690 $a 0680
690 $a 0503
690 $a 0338
690 $a 0570
710 2 0 $a Texas A&M University. $3 718977
773 0 $t Dissertation Abstracts International $g 61-07A.
790 1 0 $a Capps, Oral, Jr., $e advisor
790 $a 0803
791 $a Ph.D.
792 $a 2000
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9980198