220 related articles for article (PubMed ID: 11802261)
21. Validation of decisional balance and self-efficacy measures for HPV vaccination in college women.
Lipschitz JM; Fernandez AC; Larson HE; Blaney CL; Meier KS; Redding CA; Prochaska JO; Paiva AL
Am J Health Promot; 2013; 27(5):299-307. PubMed ID: 23402229
[TBL] [Abstract][Full Text] [Related]
22. A quantitative and qualitative approach to understanding fruit and vegetable availability in low-income african-american families with children enrolled in an urban head start program.
Hildebrand DA; Shriver LH
J Am Diet Assoc; 2010 May; 110(5):710-8. PubMed ID: 20430132
[TBL] [Abstract][Full Text] [Related]
23. Determinants of forward stage transition from precontemplation and contemplation for fruit consumption.
de Vet E; de Nooijer J; de Vries NK; Brug J
Am J Health Promot; 2005; 19(4):278-85. PubMed ID: 15768922
[TBL] [Abstract][Full Text] [Related]
24. Fruit and vegetable intake in the United States: the baseline survey of the Five A Day for Better Health Program.
Subar AF; Heimendinger J; Patterson BH; Krebs-Smith SM; Pivonka E; Kessler R
Am J Health Promot; 1995; 9(5):352-60. PubMed ID: 10150767
[TBL] [Abstract][Full Text] [Related]
25. Development and Preliminary Psychometric Evaluation of Decisional Balance and Self-Efficacy Measures for Managing Anxiety in a National Sample of Clinically Anxious Adults.
Lipschitz JM; Paiva AL; Redding CA; Levesque D; Rossi JS; Weisberg RB; Prochaska JO
Am J Health Promot; 2018 Jan; 32(1):215-223. PubMed ID: 27670270
[TBL] [Abstract][Full Text] [Related]
26. Assessment of fruit and vegetable intake behavior among adolescents in Hangzhou, China.
Mao C; Xu L; Xu L; Ma H; Liu T; Qu X; Hu H; Yang Q
Indian J Pediatr; 2012 Sep; 79(9):1218-23. PubMed ID: 21830027
[TBL] [Abstract][Full Text] [Related]
27. [The relationship between fat intake behavior and psychological impact factor in adolescent].
Fang M; Zhang J; Wu X; Huang X; Gu F; Qu X; Xu L
Zhonghua Yu Fang Yi Xue Za Zhi; 2015 Feb; 49(2):156-60. PubMed ID: 26081402
[TBL] [Abstract][Full Text] [Related]
28. Relationships between transtheoretical model stages of change, decisional balance, self-efficacy, and physical activity level among Nigerian market vendors.
Maruf FA; Ibikunle PO; Raji NO
Am J Health Promot; 2014; 28(5):e118-26. PubMed ID: 23971521
[TBL] [Abstract][Full Text] [Related]
29. Dietary stages of change and decisional balance: a meta-analytic review.
Di Noia J; Prochaska JO
Am J Health Behav; 2010; 34(5):618-32. PubMed ID: 20524891
[TBL] [Abstract][Full Text] [Related]
30. The relationship between self-efficacy, attitudes, intake compared to others, consumption, and stages of change related to fruit and vegetables.
Brug J; Glanz K; Kok G
Am J Health Promot; 1997; 12(1):25-30. PubMed ID: 10170431
[TBL] [Abstract][Full Text] [Related]
31. Self-efficacy, perceived benefits, and weight satisfaction discriminate among stages of change for fruit and vegetable intakes for young men and women.
Horacek TM; White A; Betts NM; Hoerr S; Georgiou C; Nitzke S; Ma J; Greene G
J Am Diet Assoc; 2002 Oct; 102(10):1466-70. PubMed ID: 12396169
[TBL] [Abstract][Full Text] [Related]
32. Associations Between Decisional Balance and Health Behaviors Among Adult Cancer Survivors.
Shtaynberger J; Krebs P
J Cancer Educ; 2016 Dec; 31(4):749-754. PubMed ID: 27524376
[TBL] [Abstract][Full Text] [Related]
33. Differences in Psychosocial and Behavioral Variables by Dietary Screening Tool Risk Category in Older Adults.
Greene GW; Lofgren I; Paulin C; Greaney ML; Clark PG
J Acad Nutr Diet; 2018 Jan; 118(1):110-117. PubMed ID: 28822756
[TBL] [Abstract][Full Text] [Related]
34. Relation of the stages of change for exercise behaviors, self-efficacy, decisional-balance, and diet-related psycho-behavioral factors in young Japanese women.
Wakui S; Shimomitsu T; Odagiri Y; Inoue S; Takamiya T; Ohya Y
J Sports Med Phys Fitness; 2002 Jun; 42(2):224-32. PubMed ID: 12032420
[TBL] [Abstract][Full Text] [Related]
35. The Role of Social Support and Self-efficacy for Planning Fruit and Vegetable Intake.
Zhou G; Gan Y; Hamilton K; Schwarzer R
J Nutr Educ Behav; 2017 Feb; 49(2):100-106.e1. PubMed ID: 27780668
[TBL] [Abstract][Full Text] [Related]
36. The impact on adolescents of a Transtheoretical Model-based programme on fruit and vegetable consumption.
Gur K; Erol S; Kadioglu H; Ergun A; Boluktas R
Public Health Nutr; 2019 Sep; 22(13):2500-2508. PubMed ID: 31171047
[TBL] [Abstract][Full Text] [Related]
37. Development and validation of green eating behaviors, stage of change, decisional balance, and self-efficacy scales in college students.
Weller KE; Greene GW; Redding CA; Paiva AL; Lofgren I; Nash JT; Kobayashi H
J Nutr Educ Behav; 2014; 46(5):324-33. PubMed ID: 24613445
[TBL] [Abstract][Full Text] [Related]
38. Defining and measuring stages of change for dietary behaviors: readiness to meet fruit, vegetable, and grain guidelines among Chinese Singaporeans.
Ling AM; Horwath C
J Am Diet Assoc; 2000 Aug; 100(8):898-904. PubMed ID: 10955047
[TBL] [Abstract][Full Text] [Related]
39. Self-efficacy and consumption of fruit and vegetables: validation of a summated scale.
Ling AM; Horwath C
Am J Health Promot; 1999; 13(5):290-8. PubMed ID: 10538644
[TBL] [Abstract][Full Text] [Related]
40. Computer-mediated intervention tailored on transtheoretical model stages and processes of change increases fruit and vegetable consumption among urban African-American adolescents.
Di Noia J; Contento IR; Prochaska JO
Am J Health Promot; 2008; 22(5):336-41. PubMed ID: 18517094
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]