Assessing Factorial and Convergent Validity and Reliability of a Food Behaviour Checklist for Spanish-speaking Participants in US Department of Agriculture Nutrition Education Programmes

Overview

Journal Public Health Nutr

Publisher Cambridge University Press

Date 2011 Feb 23

PMID 21338552

Citations 20

Authors

Jinan C Banna

Marilyn S Townsend

Affiliations

Soon will be listed here.

Abstract

Objective: To assess convergent validity, factorial validity, test-retest reliability and internal consistency of a diet quality food behaviour checklist (FBC) for low-literate, low-income Spanish speakers.

Design: Participants (n 90) completed three dietary recalls, the Spanish-language version of the US Department of Agriculture (USDA) Household Food Security Survey Module (HFSSM) and the Spanish-language FBC. Factor structure was examined using principal component analysis. Spearman correlation coefficients between FBC item responses and nutrient intakes from 24 h recalls were used to estimate convergent validity. Correlation coefficients were also calculated between FBC item responses at two time points in another group of participants (n 71) to examine test-retest reliability. Cronbach's α coefficient was determined for items within each sub-scale.

Setting: Non-profit community agencies serving low-income clients, migrant farm worker camps and low-income housing sites in four California counties.

Subjects: Spanish-speaking women (n 161) who met income eligibility for the SNAP-Ed (Supplemental Nutrition Assistance Program-Education).

Results: Factor analysis resulted in six sub-scales. Responses to nineteen food behaviour items were significantly correlated with hypothesized 24 h recall data (with a maximum correlation of 0·44 for drinking milk and calcium) or the USDA HFSSM (0·42 with the food security item). Coefficients for test-retest reliability ranged from 0·35 to 0·79. Cronbach's α ranged from 0·49 for the diet quality sub-scale to 0·80 for the fruit and vegetable sub-scale.

Conclusions: The twenty-two-item FBC and instruction guide will be used to evaluate USDA community nutrition education interventions with low-literate Spanish speakers. This research contributes to the body of knowledge about this at-risk population in California.

Citing Articles

Implementing a Diet Risk Score (DRS) for Spanish-Speaking Adults in a Clinical Setting: A Feasibility Study.

Johnston E, Torres M, Hansen J, Ochoa K, Mortenson D, De Leon E Nutrients. 2024; 16(17).

PMID: 39275307 PMC: 11396789. DOI: 10.3390/nu16172992.

Procedural Fairness in Physician-Patient Communication: A Predictor of Health Outcomes in a Cohort of Adults with Overweight or Obesity.

Wittleder S, Viglione C, Reinelt T, Dixon A, Jagmohan Z, Orstad S Int J Behav Med. 2024; .

PMID: 38609688 DOI: 10.1007/s12529-024-10282-6.

Interventions for improving health literacy in migrants.

Baumeister A, Aldin A, Chakraverty D, Hubner C, Adams A, Monsef I Cochrane Database Syst Rev. 2023; 11:CD013303.

PMID: 37963101 PMC: 10645402. DOI: 10.1002/14651858.CD013303.pub2.

Obesity Risk Assessment for Spanish-Speaking Immigrant Families with Young Children in the United States: Reliability and Validity with Nutrient Values.

Townsend M, Shilts M, Lanoue L, Drake C, Diaz Rios L, Keim N Children (Basel). 2023; 10(5).

PMID: 37238415 PMC: 10217497. DOI: 10.3390/children10050868.

Effect of a Weight Loss and Lifestyle Intervention on Dietary Behavior in Men with Obstructive Sleep Apnea: The INTERAPNEA Trial.

Carneiro-Barrera A, Amaro-Gahete F, Jurado-Fasoli L, Saez-Roca G, Martin-Carrasco C, Tinahones F Nutrients. 2022; 14(13).

PMID: 35807913 PMC: 9268365. DOI: 10.3390/nu14132731.

References

Sempos C, Johnson N, Smith E, Gilligan C . Effects of intraindividual and interindividual variation in repeated dietary records. Am J Epidemiol. 1985; 121(1):120-30. DOI: 10.1093/oxfordjournals.aje.a113974. View

Townsend M, Sylva K, Martin A, Metz D, Wooten-Swanson P . Improving readability of an evaluation tool for low-income clients using visual information processing theories. J Nutr Educ Behav. 2008; 40(3):181-6. DOI: 10.1016/j.jneb.2007.06.011. View

Kristal A, Shattuck A, Patterson R . Differences in fat-related dietary patterns between black, Hispanic and White women: results from the Women's Health Trial Feasibility Study in Minority Populations. Public Health Nutr. 1999; 2(3):253-62. DOI: 10.1017/s1368980099000348. View

Wakimoto P, Block G, Mandel S, Medina N . Development and reliability of brief dietary assessment tools for Hispanics. Prev Chronic Dis. 2006; 3(3):A95. PMC: 1637803. View

Townsend M . Evaluating food stamp nutrition education: process for development and validation of evaluation measures. J Nutr Educ Behav. 2006; 38(1):18-24. DOI: 10.1016/j.jneb.2005.11.008. View

Jordan C, Slater M, Kottke T . Preventing chronic disease risk factors: rationale and feasibility. Medicina (Kaunas). 2008; 44(10):745-50. View

Thompson B, Demark-Wahnefried W, Taylor G, McClelland J, Stables G, Havas S . Baseline fruit and vegetable intake among adults in seven 5 a day study centers located in diverse geographic areas. J Am Diet Assoc. 1999; 99(10):1241-8. DOI: 10.1016/S0002-8223(99)00306-5. View

Connor S, GUSTAFSON J, Sexton G, Becker N, Connor W . The Diet Habit Survey: a new method of dietary assessment that relates to plasma cholesterol changes. J Am Diet Assoc. 1992; 92(1):41-7. View

Banna J, Vera Becerra L, Kaiser L, Townsend M . Using qualitative methods to improve questionnaires for Spanish speakers: assessing face validity of a food behavior checklist. J Am Diet Assoc. 2010; 110(1):80-90. PMC: 4671629. DOI: 10.1016/j.jada.2009.10.002. View

10.

Coates R, Serdula M, Byers T, Mokdad A, Jewell S, Leonard S . A brief, telephone-administered food frequency questionnaire can be useful for surveillance of dietary fat intakes. J Nutr. 1995; 125(6):1473-83. DOI: 10.1093/jn/125.6.1473. View

11.

Townsend M, Kaiser L, Allen L, Joy A, Murphy S . Selecting items for a food behavior checklist for a limited-resource audience. J Nutr Educ Behav. 2003; 35(2):69-77. DOI: 10.1016/s1499-4046(06)60043-2. View

12.

Fernandez-Ballart J, Pinol J, Zazpe I, Corella D, Carrasco P, Toledo E . Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr. 2010; 103(12):1808-16. DOI: 10.1017/S0007114509993837. View

13.

Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

14.

DeVon H, Block M, Moyle-Wright P, Ernst D, Hayden S, Lazzara D . A psychometric toolbox for testing validity and reliability. J Nurs Scholarsh. 2007; 39(2):155-64. DOI: 10.1111/j.1547-5069.2007.00161.x. View

15.

Murphy S, Kaiser L, Townsend M, Allen L . Evaluation of validity of items for a food behavior checklist. J Am Diet Assoc. 2001; 101(7):751-61. DOI: 10.1016/S0002-8223(01)00189-4. View

16.

Subar A, Kipnis V, Troiano R, Midthune D, Schoeller D, Bingham S . Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study. Am J Epidemiol. 2003; 158(1):1-13. DOI: 10.1093/aje/kwg092. View

17.

Murtaugh M, Herrick J, Sweeney C, Baumgartner K, Guiliano A, Byers T . Diet composition and risk of overweight and obesity in women living in the southwestern United States. J Am Diet Assoc. 2007; 107(8):1311-21. DOI: 10.1016/j.jada.2007.05.008. View

18.

Townsend M, Kaiser L . Brief psychosocial fruit and vegetable tool is sensitive for the US Department of Agriculture's Nutrition Education Programs. J Am Diet Assoc. 2007; 107(12):2120-4. DOI: 10.1016/j.jada.2007.09.015. View

19.

Maruti S, Feskanich D, Colditz G, Frazier A, Sampson L, Michels K . Adult recall of adolescent diet: reproducibility and comparison with maternal reporting. Am J Epidemiol. 2004; 161(1):89-97. PMC: 2293280. DOI: 10.1093/aje/kwi019. View

20.

Kristal A, Abrams B, Thornquist M, DiSogra L, Croyle R, Shattuck A . Development and validation of a food use checklist for evaluation of community nutrition interventions. Am J Public Health. 1990; 80(11):1318-22. PMC: 1404902. DOI: 10.2105/ajph.80.11.1318. View