Relationship between intra-individual variability in nutrition-related lifestyle behaviors and blood glucose outcomes under free-living conditions in adults without type 2 diabetes
Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved..
AIMS: This study determined the relationship between intra-individual variability in day-to-day nutrition-related lifestyle behaviors (meal timing, eating window, food intake, movement behaviors, sleep conditions, and body weight) and glycemic outcomes under free-living conditions in adults without type 2 diabetes.
METHODS: We analyzed 104 adults without type 2 diabetes. During the 7-day measurement period, dietary intake, movement behaviors, sleep conditions, and glucose outcomes were assessed. Daily food intake was assessed using a mobile-based health application. Movement behaviors and sleep conditions were assessed using a tri-axial accelerometer. Meal timing was assessed from the participant's daily life record. Blood glucose levels were measured continuously using a glucose monitor. Statistical analyses were conducted using a linear mixed-effects model, with mealtime, food intake, body weight, movement behaviors, and sleep conditions as fixed effects and participants as a random effect.
RESULTS: Dinner time and eating window were positively significantly correlated with mean (dinner time, p = 0.003; eating window, p = 0.001), standard deviation (SD; both at p < 0.001), and maximum (both at p < 0.001) blood glucose levels. Breakfast time was negatively associated with glucose outcomes (p < 0.01). Sedentary time was positively significantly associated with blood glucose SD (p = 0.040). Total sleep time was negatively significantly correlated with SD (p = 0.035) and maximum (p = 0.032) blood glucose levels. Total daily energy intake (p = 0.001), carbohydrate intake (p < 0.001), and body weight (p < 0.05) were positively associated with mean blood glucose levels.
CONCLUSION: Intra-individual variations in nutrition-related lifestyle behaviors, especially morning and evening body weight, and food intake, were associated with mean blood glucose levels, and a long sedentary time and total sleep time were associated with glucose variability. Earlier dinner times and shorter eating windows per day resulted in better glucose control.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:196 |
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| Enthalten in: |
Diabetes research and clinical practice - 196(2023) vom: 31. Feb., Seite 110231 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yoshimura, Eiichi [VerfasserIn] |
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| Links: |
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| Themen: |
Blood Glucose |
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| Anmerkungen: |
Date Completed 27.02.2023 Date Revised 27.02.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.diabres.2022.110231 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 100 | 1 | |a Yoshimura, Eiichi |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Relationship between intra-individual variability in nutrition-related lifestyle behaviors and blood glucose outcomes under free-living conditions in adults without type 2 diabetes |
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| 500 | |a Date Revised 27.02.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved. | ||
| 520 | |a AIMS: This study determined the relationship between intra-individual variability in day-to-day nutrition-related lifestyle behaviors (meal timing, eating window, food intake, movement behaviors, sleep conditions, and body weight) and glycemic outcomes under free-living conditions in adults without type 2 diabetes | ||
| 520 | |a METHODS: We analyzed 104 adults without type 2 diabetes. During the 7-day measurement period, dietary intake, movement behaviors, sleep conditions, and glucose outcomes were assessed. Daily food intake was assessed using a mobile-based health application. Movement behaviors and sleep conditions were assessed using a tri-axial accelerometer. Meal timing was assessed from the participant's daily life record. Blood glucose levels were measured continuously using a glucose monitor. Statistical analyses were conducted using a linear mixed-effects model, with mealtime, food intake, body weight, movement behaviors, and sleep conditions as fixed effects and participants as a random effect | ||
| 520 | |a RESULTS: Dinner time and eating window were positively significantly correlated with mean (dinner time, p = 0.003; eating window, p = 0.001), standard deviation (SD; both at p < 0.001), and maximum (both at p < 0.001) blood glucose levels. Breakfast time was negatively associated with glucose outcomes (p < 0.01). Sedentary time was positively significantly associated with blood glucose SD (p = 0.040). Total sleep time was negatively significantly correlated with SD (p = 0.035) and maximum (p = 0.032) blood glucose levels. Total daily energy intake (p = 0.001), carbohydrate intake (p < 0.001), and body weight (p < 0.05) were positively associated with mean blood glucose levels | ||
| 520 | |a CONCLUSION: Intra-individual variations in nutrition-related lifestyle behaviors, especially morning and evening body weight, and food intake, were associated with mean blood glucose levels, and a long sedentary time and total sleep time were associated with glucose variability. Earlier dinner times and shorter eating windows per day resulted in better glucose control | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Dietary intake | |
| 650 | 4 | |a Glucose variability | |
| 650 | 4 | |a Intra-individual variation | |
| 650 | 4 | |a Mealtime | |
| 650 | 4 | |a Mean blood glucose levels | |
| 650 | 4 | |a Sedentary behavior | |
| 650 | 7 | |a Blood Glucose |2 NLM | |
| 700 | 1 | |a Hamada, Yuka |e verfasserin |4 aut | |
| 700 | 1 | |a Hatanaka, Mana |e verfasserin |4 aut | |
| 700 | 1 | |a Nanri, Hinako |e verfasserin |4 aut | |
| 700 | 1 | |a Nakagata, Takashi |e verfasserin |4 aut | |
| 700 | 1 | |a Matsumoto, Naoyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Shimoda, Seiya |e verfasserin |4 aut | |
| 700 | 1 | |a Tanaka, Shigeho |e verfasserin |4 aut | |
| 700 | 1 | |a Miyachi, Motohiko |e verfasserin |4 aut | |
| 700 | 1 | |a Hatamoto, Yoichi |e verfasserin |4 aut | |
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