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

Psychosocial and behavioral predicto...

Maurer, Jaclyn.

FindBook

Google Book

Amazon

博客來

Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women./
作者:	Maurer, Jaclyn.
面頁冊數:	172 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0210.
Contained By:	Dissertation Abstracts International66-01B.
標題:	Health Sciences, Nutrition. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3161675
ISBN:	049695296X

Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women.
Maurer, Jaclyn.

Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women. - 172 p.

Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0210.

Thesis (Ph.D.)--The University of Arizona, 2005.

The analyses in this dissertation were designed to (1) extend the knowledge of characteristics associated with and predictive of energy intake plausibility (under or overreported energy intake), and (2) extend previous research in a sub-sample of this study population of baseline short-term weight loss predictors to evaluate within the full sample whether baseline psychosocial, behavioral and dietary predictors of weight loss varied by energy intake plausibility. Subjects were 155 overweight or obese perimenopausal women participating in a 4mo lifestyle weight loss program. Based on self-reported intake from 3-d dietary records, women were categorized as energy underreporters ( n = 71), accurate energy reporters (n = 27), or energy overreporters (n = 57), using the cut-off values for energy plausibility defined by Goldberg. All subjects completed a comprehensive behavioral and psychosocial battery assessing diet and weight history, life status, weight loss readiness, psychology, eating behavior, physical activity, and self-image. Results from logistic regression models showed that y of education, weight loss aspirations, exercise perceived competence, social support to exercise, and measures of body image were the best predictors of energy underreporting. Dietary carbohydrate and fat intake, health related quality of life, and profile of mood states (anger) were the best predictors of energy overreporting. Baseline predictors of successful weight loss did vary by energy plausibility group, with unique predictors for energy underreporters including fewer previous dieting attempts and exercise perceived obstacles, and energy overreporters including higher TEE, more negative mood status and higher perceived hunger. Overall, more successful weight loss was also associated with higher baseline fruit and vegetable intake. Validation of these findings will help lead to establish factors to account or adjust for bias from energy misreporting, reduce health or disease risk underestimation and improve understanding of nutrition, health and disease relationships. Further, identification of successful weight loss predictors unique to energy under- and overreporters will enhance weight loss profiling and tailoring of interventions to optimize success.

ISBN: 049695296XSubjects--Topical Terms:

1017801
Health Sciences, Nutrition.

Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women.
LDR:03212nmm 2200277 4500 001 1819303
005 20061003095115.5
008 130610s2005 eng d
020 $a 049695296X
035 $a (UnM)AAI3161675
035 $a AAI3161675
040 $a UnM $c UnM
100 1 $a Maurer, Jaclyn. $3 1908590
245 1 0 $a Psychosocial and behavioral predictors of energy intake plausibility and weight loss in overweight perimenopausal women.
300 $a 172 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-01, Section: B, page: 0210.
500 $a Adviser: Linda Houtkooper.
502 $a Thesis (Ph.D.)--The University of Arizona, 2005.
520 $a The analyses in this dissertation were designed to (1) extend the knowledge of characteristics associated with and predictive of energy intake plausibility (under or overreported energy intake), and (2) extend previous research in a sub-sample of this study population of baseline short-term weight loss predictors to evaluate within the full sample whether baseline psychosocial, behavioral and dietary predictors of weight loss varied by energy intake plausibility. Subjects were 155 overweight or obese perimenopausal women participating in a 4mo lifestyle weight loss program. Based on self-reported intake from 3-d dietary records, women were categorized as energy underreporters ( n = 71), accurate energy reporters (n = 27), or energy overreporters (n = 57), using the cut-off values for energy plausibility defined by Goldberg. All subjects completed a comprehensive behavioral and psychosocial battery assessing diet and weight history, life status, weight loss readiness, psychology, eating behavior, physical activity, and self-image. Results from logistic regression models showed that y of education, weight loss aspirations, exercise perceived competence, social support to exercise, and measures of body image were the best predictors of energy underreporting. Dietary carbohydrate and fat intake, health related quality of life, and profile of mood states (anger) were the best predictors of energy overreporting. Baseline predictors of successful weight loss did vary by energy plausibility group, with unique predictors for energy underreporters including fewer previous dieting attempts and exercise perceived obstacles, and energy overreporters including higher TEE, more negative mood status and higher perceived hunger. Overall, more successful weight loss was also associated with higher baseline fruit and vegetable intake. Validation of these findings will help lead to establish factors to account or adjust for bias from energy misreporting, reduce health or disease risk underestimation and improve understanding of nutrition, health and disease relationships. Further, identification of successful weight loss predictors unique to energy under- and overreporters will enhance weight loss profiling and tailoring of interventions to optimize success.
590 $a School code: 0009.
650 4 $a Health Sciences, Nutrition. $3 1017801
650 4 $a Health Sciences, Public Health. $3 1017659
690 $a 0570
690 $a 0573
710 2 0 $a The University of Arizona. $3 1017508
773 0 $t Dissertation Abstracts International $g 66-01B.
790 1 0 $a Houtkooper, Linda, $e advisor
790 $a 0009
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3161675