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Journal of Human Hypertension | 2003

INTERMAP: the dietary data--process and quality control.

Barbara H. Dennis; Jeremiah Stamler; M Buzzard; R Conway; Paul Elliott; Alicia Moag-Stahlberg; A Okayama; Nagako Okuda; Claire E. Robertson; F Robinson; Sally F. Schakel; Mary Stevens; N. Van Heel; Liancheng Zhao; Beifan Zhou

The aim of this report is to describe INTERMAP standardized procedures for assessing dietary intake of 4680 individuals from 17 population samples in China, Japan, UK and USA: Based on a common Protocol and Manuals of Operations, standardized collection by centrally trained certified staff of four 24 h dietary recalls, two timed 24-h urines, two 7-day histories of daily alcohol intake per participant; tape recording of all dietary interviews, and use of multiple methods for ongoing quality control of dietary data collection and processing (local, national, and international); one central laboratory for urine analyses; review, update, expansion of available databases for four countries to produce comparable data on 76 nutrients for all reported foods; use of these databases at international coordinating centres to compute nutrient composition. Chinese participants reported 2257 foods; Japanese, 2931; and UK, 3963. In US, use was made of 17 000 food items in the online automated Nutrition Data System. Average time/recall ranged from 22 min for China to 31 min for UK. Among indicators of dietary data quality, coding error rates (from recoding 10% random samples of recalls) were 2.3% for China, 1.4% for Japan, and UK; an analogous US procedure (re-entry of recalls into computer from tape recordings) also yielded low discrepancy rates. Average scores on assessment of taped dietary interviews were high, 40.4 (Japan) to 45.3 (China) (highest possible score: 48); correlations between urinary and dietary nutrient values—similar for men and women—were, for all 4680 participants, 0.51 for total protein, range across countries 0.40–0.52; 0.55 for potassium, range 0.30–0.58; 0.42 for sodium, range 0.33–0.46. The updated dietary databases are valuable international resources. Dietary quality control procedures yielded data generally indicative of high quality performance in the four countries. These procedures were time consuming. Ongoing recoding of random samples of recalls is deemed essential. Use of tape recorded dietary interviews contributed to quality control, despite feasibility problems, deemed remediable by protocol modification. For quality assessment, use of correlation data on dietary and urinary nutrient values yielded meaningful findings, including evidence of special difficulties in assessing sodium intake by dietary methods.


Journal of The American Dietetic Association | 2010

The Feeding Infants and Toddlers Study 2008: Study Design and Methods

Ronette Briefel; Laura Kalb; Elizabeth Condon; Denise M. Deming; Nancy A. Clusen; Mary Kay Fox; Lisa Harnack; Erin Gemmill; Mary Stevens; Kathleen Reidy

OBJECTIVE Describe the study design, data collection methods, 24-hour dietary recall protocol, and sample characteristics of the Feeding Infants and Toddlers Study (FITS) 2008. DESIGN A cross-sectional study designed to obtain information on the diets and feeding patterns of US infants, toddlers, and preschoolers ages birth to 47 months. Telephone interviews with parents and caregivers were conducted from June 2008 through January 2009 and included a household interview to recruit the household and collect information on household and child demographics and nutrition-related characteristics, and a dietary interview, including a 24-hour dietary recall collected using the 2008 Nutrition Data System for Research. A second dietary recall was collected on a random subsample to estimate usual nutrient intake distributions. Data collection instruments were built on those used in FITS 2002, with expanded survey content to address emerging issues in childhood nutrition and obesity. The dietary protocol was improved to increase reporting accuracy on portion sizes, and a bridging study was conducted to test effects of the changes in the food model booklet and protocol since FITS 2002 (n=240 cases aged 4 to 23 months). SUBJECTS A national random sample of 3,273 infants, toddlers, and preschoolers from birth up to age 4 years, with 2 days of dietary intake data for 701 cases. RESULTS Among sampled households with an age-eligible child, the response rate was 60% for the recruitment interview. Of recruited households, the response rate for the dietary interview was 78%. CONCLUSIONS The FITS 2008 provides rigorous, well-tested methods and survey questions for nutrition researchers to use in other dietary studies of young children. FITS 2008 findings on the food and nutrient intakes of US children from birth up to age 4 years can inform dietetics practitioners, pediatric health practitioners, and policymakers about the dietary issues of young children.


Diabetologia | 2009

Food composition database harmonization for between-country comparisons of dietary data in the TEDDY Study

Ulla Uusitalo; Carina Kronberg-Kippilä; Carin Andrén Aronsson; Marja-Leena Ovaskainen; Irene Mattisson; Sally F. Schakel; Wolfgang Sichert-Hellert; Stefanie Schoen; Mary Stevens; Heli Reinivuo; Jill M. Norris; Suvi M. Virtanen

Prevalence of lipid abnormalities before and after the introduction of lipid modifying therapy among Swedish patients with type 2 diabetes and/or coronary heart disease (PRIMULA Sweden)In the ACTION (A Coronary disease Trial Investigating Outcome with Nifedipine GITS) trial, the benefits of adding nifedipine GITS to the treatment of patients with stable symptomatic coronary artery disease were particularly apparent in those with concomitant hypertension. This further analysis has assessed whether or not the addition of nifedipine GITS is particularly beneficial in the treatment of patients with the combination of diabetes mellitus and chronic stable angina.Different sets of risk factors for the development of albuminuria and renal impairment in type 2 diabetes : the Swedish National Diabetes register (NDR)


Journal of Nutrition | 2007

Dietary Patterns in Adolescence Are Related to Adiposity in Young Adulthood in Black and White Females

Lorrene D. Ritchie; Phil Spector; Mary Stevens; Marcia M. Schmidt; George B. Schreiber; Ruth H. Striegel-Moore; May-Choo Wang; Patricia B. Crawford


Preventive Medicine | 2004

Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies

Karen Weber Cullen; John H. Himes; Tom Baranowski; Janet Pettit; Mary Stevens; Deborah L. Slawson; Eva Obarzanek; Maureen A. Murtaugh; Donna Matheson; Wanjie Sun; James Rochon


Preventive Medicine | 2004

Evaluation of quality control procedures for 24-h dietary recalls: results from the Girls health Enrichment Multisite Studies

Karen Weber Cullen; Kathy Watson; John H. Himes; Tom Baranowski; James Rochon; Myron Waclawiw; Wanjie Sun; Mary Stevens; Deborah L. Slawson; Donna Matheson; Thomas N. Robinson


Journal of Food Composition and Analysis | 2008

A computer-based approach for assessing dietary supplement use in conjunction with dietary recalls

Lisa Harnack; Mary Stevens; Nancy Van Heel; Sally F. Schakel; Johanna T. Dwyer; John H. Himes


Journal of Food Composition and Analysis | 2011

Food composition database harmonization for between-country comparisons of nutrient data in the TEDDY Study

Ulla Uusitalo; Carina Kronberg-Kippilä; Carin Andrén Aronsson; Sally F. Schakel; Stefanie Schoen; Irene Mattisson; Heli Reinivuo; Katherine Silvis; Wolfgang Sichert-Hellert; Mary Stevens; Jill M. Norris; Suvi M. Virtanen


Journal of The American Dietetic Association | 2002

Evaluating school-based interventions using the Healthy Eating Index

Johanna T. Dwyer; Claire Cosentino; Dongln Li; Henry A. Feldman; Anne O. Garceau; Mary Stevens; Cheryl L. Perry; Deanna M. Hoelscher; Larry S. Webber; Michelle Zive


Journal of Adolescent Health | 2003

Fat-sugar see-saw in school lunches: Impact of a low fat intervention

Johanna T. Dwyer; Paul Michell; Claire Cosentino; Larry S. Webber; Julienne Seed; Deanna M. Hoelscher; M.Patricia Snyder; Mary Stevens; Philip R. Nader

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Johanna T. Dwyer

National Institutes of Health

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Barbara H. Dennis

University of North Carolina at Chapel Hill

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Deanna M. Hoelscher

University of Texas Health Science Center at Houston

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