Literature DB >> 23146770

The degree of misreporting of the energy-adjusted intake of protein, potassium, and sodium does not differ among under-, acceptable, and over-reporters of energy intake.

Kentaro Murakami1, Satoshi Sasaki, Kazuhiro Uenishi.   

Abstract

It is unclear whether misreporting of nutrient intakes differs according to energy reporting status. We examined misreporting of dietary protein, potassium, and sodium in under-, acceptable, and over-reporters of energy intake. Our hypothesis was that degree of misreporting of these three nutrients differs among under-, acceptable, and over-reporters. Participants were 1043 Japanese women aged 18 to 22 years. Self-reported dietary intake was obtained using a diet history questionnaire. Under-, acceptable, and over-reporters of energy intake were identified based on the ratio of self-reported energy intake to estimated energy requirement (<0.70 [17.2%], 0.70-1.30 [78.1%], and >1.30 [4.7%], respectively). Misreporting of dietary protein, potassium, and sodium was assessed against the corresponding biomarker-based estimate derived from 24-hour urinary excretion. On average, the degree of misreporting of intake of energy and the three nutrients varied considerably. Absolute intake (amount per day) of the three nutrients was under-reported in under-reporters of energy intake and over-reported in over-reporters compared with acceptable reporters. However, mainly because of high correlations between the ratio of self-reported energy intake to estimated energy requirement and the ratio of self-reported to biomarker-based estimates of absolute intake of three nutrients (Pearson correlation coefficient: 0.64 for protein, 0.51 for potassium, and 0.37 for sodium), the degree of misreporting of the energy-adjusted intake of these nutrients based on the density method did not differ across categories of energy reporting status. In conclusion, these findings may lend support to the usefulness of adjustment for energy misreporting and the futility of merely excluding energy misreporters from analysis.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23146770     DOI: 10.1016/j.nutres.2012.09.001

Source DB:  PubMed          Journal:  Nutr Res        ISSN: 0271-5317            Impact factor:   3.315


  14 in total

1.  Higher dietary acid load is associated with a higher prevalence of frailty, particularly slowness/weakness and low physical activity, in elderly Japanese women.

Authors:  Yuki Kataya; Kentaro Murakami; Satomi Kobayashi; Hitomi Suga; Satoshi Sasaki
Journal:  Eur J Nutr       Date:  2017-04-12       Impact factor: 5.614

2.  Higher dietary glycemic index, but not glycemic load, is associated with a lower prevalence of depressive symptoms in a cross-sectional study of young and middle-aged Japanese women.

Authors:  Naoko Minobe; Kentaro Murakami; Satomi Kobayashi; Hitomi Suga; Satoshi Sasaki
Journal:  Eur J Nutr       Date:  2017-07-20       Impact factor: 5.614

3.  Cross-Sectional Associations of Intakes of Starch and Sugars with Depressive Symptoms in Young and Middle-Aged Japanese Women: Three-Generation Study of Women on Diets and Health.

Authors:  Aya Fujiwara; Kentaro Murakami; Hitomi Suga; Satoshi Sasaki
Journal:  Nutrients       Date:  2022-06-09       Impact factor: 6.706

Review 4.  Assessment of dietary sodium intake using a food frequency questionnaire and 24-hour urinary sodium excretion: a systematic literature review.

Authors:  Rachael M McLean; Victoria L Farmer; Alice Nettleton; Claire M Cameron; Nancy R Cook; Norman R C Campbell
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-12       Impact factor: 3.738

5.  Interannual study of spot urine-evaluated sodium excretion in young Japanese women.

Authors:  Kenichiro Yasutake; Ririko Moriguchi; Tomomi Kajiyama; Hitomi Miyazaki; Shimako Abe; Takashi Masuda; Katsumi Imai; Masako Iwamoto; Hiroko Tsuda; Masayo Obe; Hisaya Kawate; Hiromi Ueno; Misaki Ono; Ryoko Goromaru; Kenji Ohe; Munechika Enjoji; Takuya Tsuchihashi; Shuji Nakano
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-05-23       Impact factor: 3.738

6.  Food intake and dietary patterns that affect urinary sodium excretion in young women.

Authors:  Kenichiro Yasutake; Katsumi Imai; Shimako Abe; Masako Iwamoto; Hisaya Kawate; Ririko Moriguchi; Misaki Ono; Hiromi Ueno; Mana Miya; Hiroko Tsuda; Shuji Nakano
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-06-07       Impact factor: 3.738

Review 7.  Potassium and Obesity/Metabolic Syndrome: A Systematic Review and Meta-Analysis of the Epidemiological Evidence.

Authors:  Xianlei Cai; Xueying Li; Wenjie Fan; Wanqi Yu; Shan Wang; Zhenhong Li; Ethel Marian Scott; Xiuyang Li
Journal:  Nutrients       Date:  2016-03-25       Impact factor: 5.717

8.  Dietary sodium-to-potassium ratio as a risk factor for stroke, cardiovascular disease and all-cause mortality in Japan: the NIPPON DATA80 cohort study.

Authors:  Akira Okayama; Nagako Okuda; Katsuyuki Miura; Tomonori Okamura; Takehito Hayakawa; Hiroshi Akasaka; Hirofumi Ohnishi; Shigeyuki Saitoh; Yusuke Arai; Yutaka Kiyohara; Naoyuki Takashima; Katsushi Yoshita; Akira Fujiyoshi; Maryam Zaid; Takayoshi Ohkubo; Hirotsugu Ueshima
Journal:  BMJ Open       Date:  2016-07-13       Impact factor: 2.692

9.  A self-monitoring urinary salt excretion level measurement device for educating young women about salt reduction: A parallel randomized trial involving two groups.

Authors:  Kenichiro Yasutake; Yoko Umeki; Noriko Horita; Rieko Morita; Yusuke Murata; Kenji Ohe; Takuya Tsuchihashi; Munechika Enjoji
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-05-06       Impact factor: 3.738

10.  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

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