Validation of a measure of the Satter eating competence model with low-income females

International Journal of Behavioral Nutrition and Physical Activity

Volumn 8, Issue , 2011, Pages

  Krall, Jodi S ^a   Lohse, Barbara ^b  

^a UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BODY MASS; BODY WEIGHT; CONSTRUCT VALIDITY; CORRELATION ANALYSIS; EATING DISORDERS INVENTORY; FEEDING BEHAVIOR; FEMALE; FOOD INTAKE; FOOD PREFERENCE; FOOD PROCESSING; FRUIT; HEALTH SURVEY; HUMAN; INTERNET; LOWEST INCOME GROUP; MAJOR CLINICAL STUDY; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; PATIENT SATISFACTION; PHYSICAL ACTIVITY; RESOURCE MANAGEMENT; SATTER MODEL OF EATING COMPETENCE INVENTORY; SCORING SYSTEM; SELF REPORT; THREE FACTOR EATING QUESTIONNAIRE; VALIDATION STUDY; VEGETABLE; WOMEN'S HEALTH; ADOLESCENT; CATERING SERVICE; COMPREHENSION; COOKING; DIET; HEALTH BEHAVIOR; MIDDLE AGED; MOTOR ACTIVITY; POVERTY; PSYCHOLOGICAL ASPECT; PSYCHOLOGICAL MODEL; QUESTIONNAIRE; SELF CONCEPT; SOCIAL CARE; UNITED STATES;

ADOLESCENT; ADULT; COMPREHENSION; COOKING; DIET; FEEDING BEHAVIOR; FEMALE; FOOD PREFERENCES; FOOD SERVICES; HEALTH BEHAVIOR; HUMANS; INTERNET; MIDDLE AGED; MODELS, PSYCHOLOGICAL; MOTOR ACTIVITY; PENNSYLVANIA; POVERTY; PUBLIC ASSISTANCE; QUESTIONNAIRES; SELF EFFICACY; YOUNG ADULT;

EID: 79953692112     PISSN: None     EISSN: 14795868     Source Type: Journal    
DOI: 10.1186/1479-5868-8-26     Document Type: Article

References (53)

1. Kant AK, Graubard BI. Secular trends in the association of socio-economic position with self-reported dietary attributes and biomarkers in the US population: National Health and Nutrition Examination Survey (NHANES) 1971-1975 to NHANES 1999-2002. Public Health Nutr 2007, 10:158-167. 10.1017/S1368980007246749, 17261225.
2. Bhattacharya J, Currie J, Haider S. Poverty, food insecurity, and nutritional outcomes in children and adults. J Health Econ 2004, 23:839-862. 10.1016/j.jhealeco.2003.12.008, 15587700.
3. Kant AK, Graubard BI. Energy density of diets reported by American adults: association with food group intake, nutrient intake, and body weight. Int J Obes 2005, 29:950-956.
4. Giskes K, Turrell G, van Lenthe FJ, Brug J, Mackenbach JP. A multilevel study of socio-economic inequalities in food choice behaviour and dietary intake among the Dutch population: the GLOBE study. Public Health Nutr 2006, 9:75-83. 10.1079/PHN2005758, 16480537.
5. Mendoza JA, Drewnowski A, Christakis DA. Dietary energy density is associated with obesity and the metabolic syndrome in U.S. adults. Diabetes Care 2007, 30:974-979. 10.2337/dc06-2188, 17229942.
6. Hanson KL, Sobal J, Frongillo EA. Gender and marital status clarify associations between food insecurity and body weight. J Nutr 2007, 137:1460-1465.
7. Wang Y, Beydoun MA. The obesity epidemic in the United States - gender, age, socioeconomic, racial/ethnic, and geographic characteristics: a systematic review and meta-regression analysis. Epidemiol Rev 2007, 29:6-28. 10.1093/epirev/mxm007, 17510091.
8. Robbins JM, Vaccarino V, Zhang H, Kasl SV. Socioeconomic status and type 2 diabetes in African American and non-Hispanic white women and men: evidence from the Third National Health and Nutrition Examination Survey. Am J Public Health 2001, 91:76-83. 1446485, 11189829.
9. Kanjilal S, Gregg EW, Cheng YJ, Zhang P, Nelson DE, Mensah G, Beckles GL. Socioeconomic status and trends in disparities in 4 major risk factors for cardiovascular disease among US adults, 1971-2002. Arch Intern Med 2006, 166:2348-2355. 10.1001/archinte.166.21.2348, 17130388.
10. Steptoe A, Pollard TM, Wardle J. Development of a measure of the motives underlying the selection of food: the food choice questionnaire. Appetite 1995, 25:267-284. 10.1006/appe.1995.0061, 8746966.
11. Ball K, Crawford D, Mishra G. Socio-economic inequalities in women's fruit and vegetable intakes: a multilevel study of individual, social and environmental mediators. Public Health Nutr 2006, 9:623-630. 10.1079/PHN2005897, 16923294.
12. Inglis V, Ball K, Crawford D. Why do women of low socioeconomic status have poorer dietary behaviours than women of higher socioeconomic status? A qualitative exploration. Appetite 2005, 45:334-343. 10.1016/j.appet.2005.05.003, 16171900.
13. Beydoun MA, Wang Y. Do nutrition knowledge and beliefs modify the association of socio-economic factors and diet quality among US adults?. Prev Med 2008, 46:145-153. 10.1016/j.ypmed.2007.06.016, 17698186.
14. Turrell G, Kavanagh AM. Socio-economic pathways to diet: modelling the association between socio-economic position and food purchasing behaviors. Public Health Nutr 2006, 9:375-383. 10.1079/PHN2006850, 16684390.
15. Jabs J, Devine CM, Bisogni CA, Farrell TJ, Jastran M, Wethington E. Trying to find the quickest way: employed mothers' construction of time for food. J Nutr Educ Behav 2007, 39:18-25. 10.1016/j.jneb.2006.08.011, 17276323.
16. Devine CM, Connors MM, Sobal J, Bisogni CA. Sandwiching it in: spillover of work onto food choices and family roles in low- and moderate-income urban households. Soc Sci Med 2003, 56:617-630. 10.1016/S0277-9536(02)00058-8, 12570978.
17. Devine CM, Jastran M, Jabs J, Wethington E, Farell TJ, Bisogni CA. "A lot of sacrifices:" work-family spillover and the food choice coping strategies of low-wage employed parents. Soc Sci Med 2006, 63:2591-2603. 10.1016/j.socscimed.2006.06.029, 1694441, 16889881.
18. Wardle J, Griffith J. Socioeconomic status and weight control practices in British adults. J Epidemiol Community Health 2001, 55:185-190. 10.1136/jech.55.3.185, 1731844, 11160173.
19. Jeffery RW, French SA. Socioeconomic status and weight control practices among 20- to 45-year-old women. Am J Public Health 1996, 86:1005-1010. 10.2105/AJPH.86.7.1005, 1380443, 8669502.
20. Satter E. Eating competence: definition and evidence for the Satter Eating Competence model. J Nutr Educ Behav 2007, 39:S142-S153. 10.1016/j.jneb.2007.01.006, 17826695.
21. Lohse B, Psota T, Estruch R, Zazpe I, Sorli JV, Salas-Salvadó J, Serra M, Krall JS, Márquez F, . E Ros on behalf of the PREDIMED study investigators Eating competence of elderly Spanish adults is associated with a healthy diet and favorable cardiovascular disease risk profile. J Nutr 2010, 140:1322-1327. 10.3945/jn.109.120188, 20505016, E Ros on behalf of the PREDIMED study investigators.
22. Lohse B, Satter E, Horacek T, Gebreselassie T, Oakland MJ. Measuring eating competence: psychometric properties and validation of the ecSatter Inventory. J Nutr Educ Behav 2007, 39:S154-S166. 10.1016/j.jneb.2007.04.371, 17826696.
23. Stotts J, Lohse B, Patterson J, Horacek T, White A, Greene G. Eating competence in college students nominates a non-dieting approach to weight management. The FASEB Journal 2007, 21:527. 526.
24. Psota TL, Lohse B, West SG. Associations between eating competence and cardiovascular disease biomarkers. J Nutr Educ Behav 2007, 39:S171-S178. 10.1016/j.jneb.2007.05.004, 17826698.
25. Krall JS, Lohse B. Interviews with low-income Pennsylvanians verify a need to enhance eating competence. J Am Diet Assoc 2009, 109:468-473. 10.1016/j.jada.2008.11.032, 19248864.
26. Stotts JL, Lohse B. Reliability of the ecSatter Inventory as a tool to measure eating competence. J Nutr Educ Behav 2007, 39:468-473.
27. Krall JS, Lohse B. Cognitive testing with female nutrition and education assistance program participants informs validity of the Satter Eating Competence Inventory. J Nutr Educ Behav 2010, 42:277-283. 10.1016/j.jneb.2009.08.003, 20579611.
28. Stunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 1985, 29:71-83. 10.1016/0022-3999(85)90010-8, 3981480.
29. Garner DM. Eating Disorder Inventory-3, Professional Manual 2004, Lutz, FL: Psychological Assessment Resources, Inc.
30. Drewnowski A, Hann C. Food preferences and reported frequencies of food consumption as predictors of current diet in young women. Am J Clin Nutr 1999, 70:28-36.
31. Drewnowski A, Hann C, Henderson SA, Gorenflo D. Both food preferences and food frequency scores predict fat intakes of women with breast cancer. J Am Diet Assoc 2000, 100:1325-1333. 10.1016/S0002-8223(00)00375-8, 11103654.
32. Prochaska JO, Velicer WF. The transtheoretical model of health behavior. Am J Health Promot 1997, 12:38-48.
33. Horacek TM, White A, Betts NM, Hoerr S, Georgiou C, Nitzke S, Ma J, Greene G. Self-efficacy, perceived benefits, and weight satisfaction discriminate among stages of change for fruit and vegetable intakes for young men and women. J Am Diet Assoc 2006, 102:1466-1470.
34. Evaluation/Reporting System (ERS4). , http://www.csrees.usda.gov/nea/food/efnep/ers/ers4.html
35. Bickel G, Nord M, Price C, Hamilton W, Cook J. Guide to Measuring Household Food Security, Revised 2000 2000, Alexandria, VA: U.S. Department of Agriculture, Food and Nutrition Services.
36. Nunnally JC. Psychometric Theory 1978, New York: McGraw-Hill, 2.
37. Hemphill JF. Interpreting the magnitude of correlation coefficients. Am Psychol 2003, 58:78-79. 10.1037/0003-066X.58.1.78, 12674822.
38. Contento IR, Zybert P, Williams SS. Relationship of cognitive restraint of eating and disinhibition to the quality of food choices of Latina women and their young children. Prev Med 2005, 40:326-336. 10.1016/j.ypmed.2004.06.008, 15533547.
39. Nord M. Characteristics of low-income households with very low food security: an analysis of the USDA GPRA food security indicator. pp. Economic Information Bulletin 25: United States Department of Agriculture, Economic Research Service; 2007:Economic Information Bulletin 25
40. Olson CM, Bove CF, Miller EO. Growing up poor: long-term implications for eating patterns and body weight. Appetite 2007, 49:198-207. 10.1016/j.appet.2007.01.012, 17442454.
41. Tarasuk V, McIntyre L, Li J. Low-income women's dietary intakes are sensitive to the depletion of household resources in one month. J Nutr 2007, 137:1980-1987.
42. Wardle J. Overeating: a regulatory behaviour in restrained eaters. Appetite 1990, 14:133-136. 10.1016/0195-6663(90)90013-X, 2337339.
43. Westenhoefer J. Dietary restraint and disinhibition: is restraint a homogenous construct?. Appetite 1991, 16:45-55. 10.1016/0195-6663(91)90110-E, 2018403.
44. Westenhoefer J, Broeckmann P, Munch AK, Pudel V. Cognitive control of eating behavior and the disinhibition effect. Appetite 1994, 1994:27-41.
45. Bond MJ, McDowell AJ, Wilkinson JY. The measurement of dietary restraint, disinhibition and hunger: an examination of the factor structure of the Three Factor Eating Questionnaire (TFEQ). Int J Obes Relat Metab Disord 2001, 25:900-906. 10.1038/sj.ijo.0801611, 11439306.
46. Elfhag K, Carlsson AM, Rossner S. Subgrouping in obesity based on Rorschach personality characteristics. Scand J Psychol 2003, 44:399-407. 10.1046/j.1467-9450.2003.00360.x, 15030105.
47. Nuss H, Clarke K, Klohe-Lehman D, Freeland-Graves J. Influence of nutrition attitudes and motivators for eating on postpartum weight status in low-income new mothers. J Am Diet Assoc 2006, 106:1774-1782. 10.1016/j.jada.2006.08.016, 17081828.
48. Bove CF, Olson CM. Obesity in low-income rural women: qualitative insights about physical activity and eating patterns. Women Health 2006, 44:57-78. 10.1300/J013v44n01_04, 17182527.
49. Chang M-W, Nitzke S, Guilford E, Adair CH, Hazard DL. Motivators and barriers to healthful eating and physical activity among low-income overweight and obese mothers. J Am Diet Assoc 2008, 108:1023-1028. 10.1016/j.jada.2008.03.004, 18502238.
50. McNeill LH, Viswanath K, Bennett GG, Puleo E, Emmons KM. Feasibility of using a web-based nutrition intervention among residents of multiethnic working-class neighborhoods. Prev Chronic Dis 2007, 4:A55. 1955411, 17572959.
51. Atkinson NL, Billing AS, Desmond SM, Gold RS, Tournas-Hardt A. Assessment of the nutrition and physical activity education needs of low-income rural mothers: can technology play a role?. J Comm Health 2007, 32:245-267.
52. Schwarzer R. Some burning issues in research on health behavior change. Applied Psychology: An International Review 2008, 57:84-93.
53. Messick S. Validity of psychological assessment: validation of inferences from persons' responses and performances as scientific inquiry into score meaning. Am Psychol 1995, 50:741-749.