全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
ISRN Obesity  2012 

Healthy Eating Vital Sign: A New Assessment Tool for Eating Behaviors

DOI: 10.5402/2012/734682

Full-Text   Cite this paper   Add to My Lib

Abstract:

Introduction. Most dietary questionnaires are not created for use in a clinical setting for an adult health exam. We created the Healthy Eating Vital Sign (HEVS) to assess eating behaviors associated with excess weight. This study investigated the validity and reliability of the HEVS. Methods. Using a cross-sectional study design, participants responded to the HEVS and the Block Food Frequency Questionnaire (BFFQ). We analyzed the data descriptively, and, with Pearson’s correlation and Cronbach coefficient alpha. Results. We found moderate correlation ( r h o > 0 . 3 ) between multiple items of the HEVS and BFFQ. The Cronbach's alpha was 0.49. Conclusion. Our results support the criterion validity and internal reliability of the HEVS as compared to the BFFQ. The HEVS can help launch a dialogue between patients and providers to monitor and potentially manage dietary behaviors associated with many chronic health conditions, including obesity. 1. Introduction The United States (US) did not meet the Healthy People 2010 objective to decrease the prevalence of adult obesity to 15% [1]. According to the Centers for Disease Control and Prevention (CDC), 27% of US adults are obese [2]. Flegal et al. report more dismal statistics; 68% of adults are overweight ( B M I ≥ 2 5 ) and 34% are obese ( B M I ≥ 3 0 ) [3]. Multiple factors influence energy balance, or energy intake versus energy expenditure. However, primary care providers have the opportunity to engage with people and potentially affect behaviors that can tilt the energy balance [4]. A provider’s attention to weight has great influence on patients [5, 6]. Therefore, effectively and efficiently managing and preventing overweight and obesity in the primary care setting is warranted [7]. Traditionally, food frequency questionnaires are used to assess habitual dietary behavior. The Block Food Frequency Questionnaire (BFFQ) is a valid and reliable instrument used as a standard tool for nutrition assessment [8, 9]. The BFFQ contains more than 100 questions, takes approximately 45 minutes to complete, and focuses on nutrient intake rather than eating behaviors. Because of its length and the complexities involved in dietary analysis, the BFFQ is too cumbersome for routine clinical screening of patients’ nutritional habits. Recognizing this problem, Glasgow et al. recommended Starting the Conversation-(STC) Diet and the Summary of Diabetes Self-Care Activities (SDSCA) as practical measures for clinical use [10]. The STC-Diet is a 7-item instrument to assess dietary behaviors, created for the New Leaf

References

[1]  U.D.o.H.a.H. Services, “Objective 19-2. Reduce the proportion of adults who are obese,” Healthy People, 2010.
[2]  “Vital signs: state-specific obesity prevalence among adults—United States, 2009,” Morbidity and Mortality Weekly Report, vol. 59, no. 30, pp. 951–955, 2010.
[3]  K. M. Flegal, M. D. Carroll, C. L. Ogden, and L. R. Curtin, “Prevalence and trends in obesity among US adults, 1999–2008,” Journal of the American Medical Association, vol. 303, no. 3, pp. 235–241, 2010.
[4]  H. Nawaz and D. L. Katz, “American college of preventive medicine practice policy statement: weight management counseling of overweight adults,” American Journal of Preventive Medicine, vol. 21, no. 1, pp. 73–78, 2001.
[5]  M. B. Potter, J. D. Vu, and M. Croughan-Minihane, “Weight management: what patients want from their primary care physicians,” Journal of Family Practice, vol. 50, no. 6, pp. 513–518, 2001.
[6]  D. A. Galuska, J. C. Will, M. K. Serdula, and E. S. Ford, “Are health care professionals advising obese patients to lose weight?” Journal of the American Medical Association, vol. 282, no. 16, pp. 1576–1578, 1999.
[7]  A. Must, J. Spadano, E. H. Coakley, A. E. Field, G. Colditz, and W. H. Dietz, “The disease burden associated with overweight and obesity,” Journal of the American Medical Association, vol. 282, no. 16, pp. 1523–1529, 1999.
[8]  G. Block, A. M. Hartman, C. M. Dresser, M. D. Carroll, J. Gannon, and L. Gardner, “A data-based approach to diet questionnaire design and testing,” American Journal of Epidemiology, vol. 124, no. 3, pp. 453–469, 1986.
[9]  G. Block, L. M. Coyle, A. M. Hartman, and S. M. Scoppa, “Revision of dietary analysis software for the health habits and history questionnaire,” American Journal of Epidemiology, vol. 139, no. 12, pp. 1190–1196, 1994.
[10]  R. E. Glasgow, M. G. Ory, L. M. Klesges, M. Cifuentes, D. H. Fernald, and L. A. Green, “Practical and relevant self-report measures of patient health behaviors for primary care research,” Annals of Family Medicine, vol. 3, no. 1, pp. 73–81, 2005.
[11]  W. D. Rosamond, A. S. Ammerman, J. L. Holliday et al., “Cardiovascular disease risk factor intervention in low-income women: the North Carolina WISEWOMAN project,” Preventive Medicine, vol. 31, no. 4, pp. 370–379, 2000.
[12]  D. J. Toobert, S. E. Hampson, and R. E. Glasgow, “The summary of diabetes self-care activities measure: results from 7 studies and a revised scale,” Diabetes Care, vol. 23, no. 7, pp. 943–950, 2000.
[13]  J. L. J. Greenwood and J. B. Stanford, “Preventing or improving obesity by addressing specific eating patterns,” Journal of the American Board of Family Medicine, vol. 21, no. 2, pp. 135–140, 2008.
[14]  J. L. J. Greenwood, M. A. Murtaugh, E. M. Omura, S. C. Alder, and J. B. Stanford, “Creating a clinical screening questionnaire for eating behaviors associated with overweight and obesity,” Journal of the American Board of Family Medicine, vol. 21, no. 6, pp. 539–548, 2008.
[15]  S. J. Nielsen and B. M. Popkin, “Patterns and trends in food portion sizes, 1977–1998,” Journal of the American Medical Association, vol. 289, no. 4, pp. 450–453, 2003.
[16]  G. Block, M. Woods, A. Potosky, and C. Clifford, “Validation of a self-administered diet history questionnaire using multiple diet records,” Journal of Clinical Epidemiology, vol. 43, no. 12, pp. 1327–1335, 1990.
[17]  G. B. Sprotles and E. L. Kendall, “A methodology for profiling consumers' decision-making style,” Journal of Consumer Affairs, vol. 20, no. 2, pp. 267–279, 1986.
[18]  M. M. Traynor, P. H. Holowaty, D. J. Reid, and K. Gray-Donald, “Vegetable and fruit food frequency questionnaire serves as a proxy for quantified intake,” Canadian Journal of Public Health, vol. 97, no. 4, pp. 286–290, 2006.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133