Evidence map›Paper›PMID 40140613›Full record

ArticleEuropean journal of clinical nutrition2025

Association of meal time patterns with dietary intake and body mass index: a chrononutrition approach from NHANES 2017-2018.

Gabriela Pereira Teixeira, Nayara Bernardes da Cunha, Catarina Machado Azeredo, Ana Elisa Madalena Rinaldi, Cibele Aparecida Crispim

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

5 authors.

Gabriela Pereira TeixeiraChrononutrition Research Group (Cronutri), School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-1568-4137
Nayara Bernardes da CunhaChrononutrition Research Group (Cronutri), School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil.
Catarina Machado AzeredoGraduate Program in Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Uberlândia, Brazil.
Ana Elisa Madalena RinaldiGraduate Program in Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Uberlândia, Brazil.
Cibele Aparecida CrispimChrononutrition Research Group (Cronutri), School of Medicine, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil. cibele.crispim@ufu.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChrononutrition studies suggest that eating later and extending the eating window are linked to higher energy intake and obesity. However, the relationship between chrononutrition variables and dietary intake, as well as with BMI, is still little explored at a population level. This study explored how chrononutrition variables relate to dietary intake and BMI at a population level.

methodsWe analyzed data from the NHANES 2017-2018, including 2937 participants aged 18 years or older. Dietary intake was assessed by two 24-h dietary recalls. Caloric midpoint, eating window duration, sleep end-first meal and last meal-sleep onset intervals were determined by mealtime.

resultsThe findings indicate a trend of increased total consumption of energy (kcal) (p < 0.001; p < 0.001; p < 0.001; p < 0.001), carbohydrates (g) (p = 0.001; p < 0.001; p < 0.001; p < 0.001); protein (g) (p < 0.001; p = 0.008; p < 0.001; p < 0.001), fat (g) (p < 0.001; p = 0.007; p < 0.001; p < 0.001), and sugar (g) (p < 0.001; p < 0.001; p < 0.001; p < 0.001) as the sleep end-first meal interval decreases and the last meal-sleep onset interval, eating window, and energy intake after 8 pm increases, respectively. In addition, our findings suggest a trend of increased BMI in the group with BMI ≥ 30 kg/m² (p = 0.018) as sleep end-first meal interval increases and in the group with BMI < 25 kg/m² (p = 0.006) as the eating window increases.

conclusionOur findings suggest that eating later and having longer eating window are associated with higher dietary intake and higher BMI.

Indexed as

Body Mass IndexDietFeeding BehaviorMealsAdolescentAdultAgedEnergy IntakeFemaleHumansMaleMiddle AgedNutrition SurveysObesitySleepTime Factors

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