Evidence map›Paper›PMID 40579711›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Ecological momentary assessment of meal context and food types contributing to salt intake at meals.

Nana Shinozaki, Kentaro Murakami, Shizuko Masayasu, Satoshi Sasaki

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Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nana ShinozakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Kentaro MurakamiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. kenmrkm@m.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-4189-7753
Shizuko MasayasuIkurien-naka, 3799-6 Sugaya, Naka-shi, Ibaraki, 311-0105, Japan.
Satoshi SasakiDepartment of Social and Preventive Epidemiology, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Funding

Consumer Affairs Agency, Japan 24KA2004Ministry of Health, Labour and Welfare 20KA1009
6 · The paper itself

Abstract

backgroundSalt (sodium) intake can vary across meals depending on the meal context and food types, including what and how much was consumed and where, when, and with whom it was consumed. However, their dynamic associations remain unclear. This study examined how meal context and food types are associated with salt intake at meals.

methodsThis cross-sectional analysis used data from 2757 adults aged 18–79 years. Ecological momentary assessment was conducted using eight-day dietary records to obtain information on meal context, food types, and salt intake.

resultsMultilevel linear regression analysis of 63,239 meals showed a higher absolute salt intake (g/meal) at lunch (β: 0.47, 95% CI: 0.44, 0.51) and dinner (β: 0.84, 95% CI: 0.80, 0.88) than at breakfast. In addition, salt intake from meals eaten on non-working or non-school days (β: 0.10, 95% CI: 0.06, 0.13), in restaurants (β: 0.40, 95% CI: 0.34, 0.45), and with one other person (β: 0.08, 95% CI: 0.05, 0.12) was higher than that from meals eaten on working or school days, at home, and alone, respectively. Regarding food types, salt intake was significantly higher in meals containing staple foods (e.g., rice and bread), especially noodles (β: 2.29, 95% CI: 2.23, 2.36), as well as soup (β: 1.06, 95% CI: 1.03, 1.09), pickles (β: 0.72, 95% CI: 0.68, 0.75), reduced-salt seasonings (β: 0.35, 95% CI: 0.23, 0.47), herbs and spices (β: 0.13, 95% CI: 0.10, 0.16), citrus juice and vinegar (β: 0.30, 95% CI: 0.26, 0.34), moderately processed meat and seafood (β: 0.59, 95% CI: 0.56, 0.62), highly processed meat and seafood (β: 0.58, 95% CI: 0.55, 0.61), and alcoholic beverages (β: 0.36, 95% CI: 0.32, 0.41) than in meals without these foods. Consumption of salt-based seasonings and vegetables was positively associated with salt intake, whereas consuming fruit was associated with lower salt intake (β: -0.12, 95% CI: -0.15, -0.09). Using salt intake density (g/100 kcal) per meal instead of absolute salt intake showed generally similar associations.

conclusionsMeal context and food types were associated with salt intake. These findings would be useful for developing practical strategies for reducing salt intake.

Indexed as

DietEcological Momentary AssessmentFeeding BehaviorMealsSodium Chloride, DietaryAdolescentAdultAgedCross-Sectional StudiesDiet RecordsFemaleHumansMaleMiddle AgedRestaurantsYoung AdultSodium Chloride, DietaryDietary recordEating behaviorEcological momentary assessmentMeal contextSodium

Identifiers

PMID40579711
PMCPMC12205499

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.