Literature DB >> 25582315

Reporting accuracy of population dietary sodium intake using duplicate 24 h dietary recalls and a salt questionnaire.

Willem De Keyzer1, Marcela Dofková2, Inger Therese L Lillegaard3, Mieke De Maeyer4, Lene Frost Andersen5, Jirí Ruprich2, Irena Řehůřková2, Anouk Geelen6, Pieter van 't Veer6, Stefaan De Henauw1, Sandra Patricia Crispim7, Evelien de Boer8, Marga Ocké8, Nadia Slimani7, Inge Huybrechts4.   

Abstract

High dietary Na intake is associated with multiple health risks, making accurate assessment of population dietary Na intake critical. In the present study, reporting accuracy of dietary Na intake was evaluated by 24 h urinary Na excretion using the EPIC-Soft 24 h dietary recall (24-HDR). Participants from a subsample of the European Food Consumption Validation study (n 365; countries: Belgium, Norway and Czech Republic), aged 45-65 years, completed two 24 h urine collections and two 24-HDR. Reporting accuracy was calculated as the ratio of reported Na intake to that estimated from the urinary biomarker. A questionnaire on salt use was completed in order to assess the discretionary use of table and cooking salt. The reporting accuracy of dietary Na intake was assessed using two scenarios: (1) a salt adjustment procedure using data from the salt questionnaire; (2) without salt adjustment. Overall, reporting accuracy improved when data from the salt questionnaire were included. The mean reporting accuracy was 0·67 (95 % CI 0·62, 0·72), 0·73 (95 % CI 0·68, 0·79) and 0·79 (95 % CI 0·74, 0·85) for Belgium, Norway and Czech Republic, respectively. Reporting accuracy decreased with increasing BMI among male subjects in all the three countries. For women from Belgium and Norway, reporting accuracy was highest among those classified as obese (BMI ≥ 30 kg/m2: 0·73, 95 % CI 0·67, 0·81 and 0·81, 95 % CI 0·77, 0·86, respectively). The findings from the present study showed considerable underestimation of dietary Na intake assessed using two 24-HDR. The questionnaire-based salt adjustment procedure improved reporting accuracy by 7-13 %. Further development of both the questionnaire and EPIC-Soft databases (e.g. inclusion of a facet to describe salt content) is necessary to estimate population dietary Na intakes accurately.

Entities:  

Keywords:  European Food Consumption Validation

Mesh:

Substances:

Year:  2015        PMID: 25582315     DOI: 10.1017/S0007114514003791

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  13 in total

1.  Association of interactions between dietary salt consumption and hypertension-susceptibility genetic polymorphisms with blood pressure among Japanese male workers.

Authors:  Takahiro Imaizumi; Masahiko Ando; Masahiro Nakatochi; Shoichi Maruyama; Yoshinari Yasuda; Hiroyuki Honda; Yachiyo Kuwatsuka; Sawako Kato; Takaaki Kondo; Masamitsu Iwata; Toru Nakashima; Hiroshi Yasui; Hideki Takamatsu; Hiroshi Okajima; Yasuko Yoshida; Seiichi Matsuo
Journal:  Clin Exp Nephrol       Date:  2016-08-01       Impact factor: 2.801

2.  Agreement between 24-h dietary recalls and 24-h urine collections for estimating sodium intake in China, Japan, UK, USA: the International Study of Macro- and Micro-nutrients and Blood Pressure.

Authors:  Xiaoxiao Wen; Long Zhou; Jeremiah Stamler; Queenie Chan; Linda Van Horn; Martha L Daviglus; Alan R Dyer; Paul Elliott; Hirotsugu Ueshima; Katsuyuki Miura; Nagako Okuda; Yangfeng Wu; Liancheng Zhao
Journal:  J Hypertens       Date:  2019-04       Impact factor: 4.844

3.  Food Sources of Sodium in Korean Americans With Type 2 Diabetes: Implications for Cardiovascular Disease.

Authors:  Jisook Ko; Gayle M Timmerman; Kim B Kim; Miyong T Kim
Journal:  J Transcult Nurs       Date:  2018-07-05       Impact factor: 1.959

4.  Factors Predicting Sodium Intake of Korean Americans with Type 2 Diabetes.

Authors:  Jisook Ko; Kim B Kim; Gayle M Timmerman; Angela P Clark; Miyong Kim
Journal:  J Immigr Minor Health       Date:  2018-06

5.  Comparison of 24-hour urine and 24-hour diet recall for estimating dietary sodium intake in populations: A systematic review and meta-analysis.

Authors:  Rachael McLean; Claire Cameron; Elizabeth Butcher; Nancy R Cook; Mark Woodward; Norm R C Campbell
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-11-25       Impact factor: 3.738

6.  Perspective: The Application of A Priori Diet Quality Scores to Cardiovascular Disease Risk-A Critical Evaluation of Current Scoring Systems.

Authors:  Ghadeer S Aljuraiban; Rachel Gibson; Linda M Oude Griep; Nagako Okuda; Lyn M Steffen; Linda Van Horn; Queenie Chan
Journal:  Adv Nutr       Date:  2020-01-01       Impact factor: 8.701

7.  Sources of Dietary Salt in North and South India Estimated from 24 Hour Dietary Recall.

Authors:  Claire Johnson; Joseph Alvin Santos; Emalie Sparks; Thout Sudhir Raj; Sailesh Mohan; Vandana Garg; Kris Rogers; Pallab K Maulik; Dorairaj Prabhakaran; Bruce Neal; Jacqui Webster
Journal:  Nutrients       Date:  2019-02-01       Impact factor: 5.717

Review 8.  The Science of Salt: A focused review on salt-related knowledge, attitudes and behaviors, and gender differences.

Authors:  Briar McKenzie; Joseph Alvin Santos; Kathy Trieu; Sudhir Raj Thout; Claire Johnson; JoAnne Arcand; Jacqui Webster; Rachael McLean
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-05-02       Impact factor: 3.738

9.  Twenty-Four-Hour Diet recall and Diet records compared with 24-hour urinary excretion to predict an individual's sodium consumption: A Systematic Review.

Authors:  Rachael M McLean; Victoria L Farmer; Alice Nettleton; Claire M Cameron; Nancy R Cook; Mark Woodward; Norman R C Campbell
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-10-09       Impact factor: 3.738

10.  The association of parents' behaviors related to salt with 24 h urinary sodium excretion of their children: A Spanish cross-sectional study.

Authors:  Esther Cuadrado-Soto; África Peral-Suarez; Elena Rodríguez-Rodríguez; Aránzazu Aparicio; Pedro Andrés; Rosa M Ortega; Ana M López-Sobaler
Journal:  PLoS One       Date:  2019-12-27       Impact factor: 3.240

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