4.3 Article

Change in methodology for collection of drinking water intake in What We Eat in America/National Health and Nutrition Examination Survey: implications for analysis

Journal

PUBLIC HEALTH NUTRITION
Volume 15, Issue 7, Pages 1190-1195

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S1368980012000316

Keywords

Drinking water intake; 24 h recall; National Health and Nutrition; Examination Survey; What We Eat in America

Funding

  1. USDA

Ask authors/readers for more resources

Objective: To provide updated estimates of drinking water intake (total, tap, plain bottled) for groups aged >= 1 year in the USA and to determine whether intakes collected in 2005-2006 using the Automated Multiple-Pass Method for the 24 h recall differ from intakes collected in 2003-2004 via post-recall food-frequency type questions. Design: Cross-sectional, observational study. Setting: What We Eat in America (WWEIA), the dietary intake component of the US National Health and Nutrition Examination Survey (NHANES). Subjects: Individuals aged >= 1 year in 2003-2004 (n 8249) and 2005-2006(n 8437) with one complete 24 h recall. Results: The estimate for the percentage of individuals who reported total drinking water in 2005-2006 was significantly (P<0.0000) smaller (76.9%) than that for 2003-2004 (87.1%), attributable to a lower percentage reporting tap water (54.1% in 2005-2006 v. 67.0% in 2003-2004; P=0.0001). Estimates of mean tap water intake differed between the survey cycles for men aged >= 71 years. Conclusions: Survey variables must be examined before combining or comparing data from multiple WWEIA/NHANES release cycles. For at least some age/gender groups, drinking water intake data from NHANES cycles prior to 2005-2006 should not be considered comparable to more recent data.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available