| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-01-30 |
| タイトル |
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タイトル |
Predicting habitual water intake from lifestyle questions |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
Habitual water intake |
| キーワード |
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主題Scheme |
Other |
|
主題 |
Random forests |
| キーワード |
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主題Scheme |
Other |
|
主題 |
Questionnaire |
| キーワード |
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|
主題Scheme |
Other |
|
主題 |
Lifestyle |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
田中, 宏季
Mizuma, Keiko
Nakamura, Yumi
Hirata, Aya
Miyazaki, Junji
Suzuki, Ken
Seta, Harumichi
Watanabe, Hiroshi
Suzuki, Toshihide
Watanabe, Reiji
Murayama, Norihito
Okamura, Tomonori
中村, 哲
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
OBJECTIVE: Previous studies have used selective recall and descriptive dietary record methods, requiring considerable effort for assessing food and water intake. This study created a simplified lifestyle questionnaire to predict habitual water intake (SQW), accurately and quickly assessing the habitual water intake. We also evaluated the validity using descriptive dietary records as a cross-sectional study.
SUBJECTS AND METHODS: First, we used crowdsourcing and machine learning to collect data, predict water intake records, and create questionnaires. We collected 305 lifestyle-related questions as predictor variables and selective recall methods for assessing water intake as an outcome variable. Random forests were used for the machine learning models because of their interpretability and accurate estimation. Random forest and single regression correlation analysis were augmented by the synthetic minority oversampling that trained the model. We separated the data by sex and evaluated our model using unseen hold-out testing data, predicting the individual and overall habitual water intake from various sources, including non-alcoholic beverages, alcohol, and food.
RESULTS: We found a 0.60 Spearman’s correlation coefficient for total water intake between the predicted and the selective recall method values, reflecting the target value to be achieved. This question set was then used for feasibility tests. The descriptive dietary record method helped to obtain a ground-truth value. We categorized the data by gender, season, and source: non-alcoholic beverages, alcohol, food, and total water intake, and the correlation was confirmed. Consequently, our results showed a Pearson’s correlation coefficient of 0.50 for total water intake between the predicted and the selective recall method values.
CONCLUSIONS: We hypothesize that dissemination of SQW can lead to better health management by easily determining the habitual water intake. |
| 書誌情報 |
en : European Review for Medical and Pharmacological Sciences
巻 27,
号 18,
p. 8829-8841,
発行日 2023-09-27
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| 出版者 |
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出版者 |
Verduci Editore |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2284-0729 |
| 出版者版DOI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.26355/eurrev_202309_33803 |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://www.europeanreview.org/article/33803 |
| 権利 |
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権利情報Resource |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
権利情報 |
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License |
| 著者版フラグ |
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出版タイプ |
NA |
