Overview of computerized dietary assessment programs for research and practice in nutrition education.

Computerized dietary assessment programs are often used for nutrition education research and practice. This article provides an informal overview of 29 dietary assessment programs mentioned in the literature covered by MEDLINE from 1996 to 2003, along with the components and capabilities of these programs derived from additional sources as needed. According to the literature, the advantages of using computers for dietary assessment include standardization of the questioning sequence, fast and easy processing, immediate results, and increased flexibility. The disadvantages include the need for typing skills and computer literacy, as well as potential bias in the responses if an interviewer is required.

[1]  T D Berry,et al.  A computerized diet history questionnaire for epidemiologic studies. , 1994, Journal of the American Dietetic Association.

[2]  R F DeBusk,et al.  Development and evaluation of a computer-based system for dietary management of hyperlipidemia. , 1997, Journal of the American Dietetic Association.

[3]  Ulrich A Müller,et al.  Evaluation of a computer based interactive diabetes education program designed to train the estimation of the energy or carbohydrate contents of foods. , 2002, Patient education and counseling.

[4]  D Feskanich,et al.  Comparison of a computerized and a manual method of food coding for nutrient intake studies. , 1988, Journal of the American Dietetic Association.

[5]  K. Bättig,et al.  Comparison of an electronic food diary with a nonquantitative food frequency questionnaire in male and female smokers and nonsmokers. , 1996, Journal of the American Dietetic Association.

[6]  A. Neil,et al.  Dietary intervention in primary care: validity of the DINE method for diet assessment. , 1994, Family practice.

[7]  P. L. White,et al.  National nutrition survey. , 1973, JAMA.

[8]  N. Slimani,et al.  Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program—the Norwegian calibration study , 2003, European Journal of Clinical Nutrition.

[9]  Johannes Brug,et al.  Past, present, and future of computer-tailored nutrition education. , 2003, The American journal of clinical nutrition.

[10]  W. Parnell,et al.  Methodology of the 1997 New Zealand National Nutrition Survey. , 2001, The New Zealand medical journal.

[11]  Donald A Williamson,et al.  Comparison of digital photography to weighed and visual estimation of portion sizes. , 2003, Journal of the American Dietetic Association.

[12]  G C Frank,et al.  Nutrient profile on personal computers--a comparison of DINE with mainframe computers. , 1985, Health education.

[13]  T. Baranowski,et al.  Computer Software Design for Children's Recording of Food Intake , 1998 .

[14]  J Brug,et al.  Dutch research into the development and impact of computer-tailored nutrition education , 1999, European Journal of Clinical Nutrition.

[15]  Susan Martin Gould,et al.  Using Interactive Multimedia Nutrition Education to Reach Low-Income Persons: An Effectiveness Evaluation , 2000 .

[16]  Gert B. M. Mensink,et al.  Validity of DISHES 98, a computerised dietary history interview: energy and macronutrient intake , 2001, European Journal of Clinical Nutrition.

[17]  P. Kris-Etherton,et al.  Accuracy of energy intake data estimated by a multiple-pass, 24-hour dietary recall technique. , 2000, Journal of the American Dietetic Association.

[18]  M. V. Hof,et al.  The NECTAR-Study: development of nutrition modules for general practice vocational training; determinants of nutrition guidance practices of GP-trainees , 1999, European Journal of Clinical Nutrition.

[19]  T. Pechacek,et al.  DINE: A Next Generation Diet Management and Evaluation System , 1995 .

[20]  Edith de Leeuw,et al.  Technological Innovations in Data Collection: Acceptance, Data Quality and Costs , 1996 .

[21]  A. Bartolucci,et al.  Comparison of a computer-based food frequency questionnaire for calcium intake with 2 other assessment tools. , 1999, Journal of the American Dietetic Association.

[22]  R H Selzer,et al.  A computerized quantitative food frequency analysis for the clinical setting: use in documentation and counseling. , 1987, Journal of the American Dietetic Association.

[23]  J. Skinner,et al.  Individual dietary intake methodology: a 50-year review of progress. , 1988, Journal of the American Dietetic Association.

[24]  Christine Thomson,et al.  American Dietetic Association , 1948 .

[25]  J. McDuffie,et al.  Computer-assisted self-interviewing: a multimedia approach to dietary assessment. , 1997, The American journal of clinical nutrition.

[26]  K. Koury,et al.  Reproducibility and comparability of a computerized, self-administered food frequency questionnaire. , 1990, Nutrition and cancer.

[27]  C. Ritenbaugh,et al.  A qualitative study of participants' experiences with dietary assessment. , 2000, Journal of the American Dietetic Association.

[28]  N. Slimani,et al.  Perspectives of using the EPIC-SOFT programme in the context of pan-European nutritional monitoring surveys: methodological and practical implications , 2002, European Journal of Clinical Nutrition.

[29]  F. Clavel-Chapelon,et al.  European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics , 2002, Public Health Nutrition.

[30]  W. Mechelen,et al.  Computerization of a dietary history interview in a running cohort; evaluation within the Amsterdam Growth and Health Longitudinal Study , 2003, European Journal of Clinical Nutrition.

[31]  R. M. Bliss.  Researchers produce innovation in dietary recall , 2004 .

[32]  L. Kohlmeier,et al.  Future of dietary exposure assessment. , 1995, The American journal of clinical nutrition.

[33]  D. Nieman,et al.  Comparison of eight microcomputer dietary analysis programs with the USDA Nutrient Data Base for Standard Reference. , 1995, Journal of the American Dietetic Association.

[34]  P. Little,et al.  Dietary and exercise assessment in general practice. , 1996, Family practice.

[35]  M W Gillman,et al.  Randomized Trial of a “Talking Computer” to Improve Adults' Eating Habits , 2001, American journal of health promotion : AJHP.

[36]  Nutrition Evaluation Scale System reduces time and labor in recording quantitative dietary intake. , 1990, Journal of the American Dietetic Association.

[37]  J. Dwyer,et al.  Future directions for the integrated CSFII-NHANES: What We Eat in America-NHANES. , 2003, The Journal of nutrition.

[38]  M. Kretsch,et al.  Validation of a new computerized technique for quantitating individual dietary intake: the Nutrition Evaluation Scale System (NESSy) vs the weighed food record. , 1990, The American journal of clinical nutrition.

[39]  A. Heath,et al.  The relative validity of a computerized food frequency questionnaire for estimating intake of dietary iron and its absorption modifiers , 2000, European Journal of Clinical Nutrition.

[40]  D. Dennison,et al.  The DINE system: Improving food choices of the public* , 1994 .

[41]  G. Block,et al.  Revision of dietary analysis software for the Health Habits and History Questionnaire. , 1994, American journal of epidemiology.