Evidence map›Paper›PMID 37625320›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2023

Comprehensive assessment of chrononutrition behaviors among nationally representative adults: Insights from National Health and Nutrition Examination Survey (NHANES) data.

Samaneh Farsijani, Ziling Mao, Jane A Cauley, Anne B Newman

Open access · greenAbstract read
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Samaneh FarsijaniDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: samaneh.farsijani@pitt.edu.
Ziling MaoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Jane A CauleyDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, USA.
Anne B NewmanDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Center for Aging and Population Health, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
The relationship between protein intake, gut microbiome, inflammaging and loss of mobility in older adultsK01AG071855 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Samaneh Farsijani · 2022 to 2026
$630k
NIA NIH HHS K01 AG071855NIA NIH HHS P30 AG024827
6 · The paper itself

Abstract

backgroundAligning the time of food intake, i.e., chrononutrition, with the body's circadian clock can have a significant impact on overall health, particularly cardiometabolic health. However, there is a lack of population-based information on various chrononutrition behaviors in the United States, where the prevalence of obesity is high.

objectiveOur primary aim was to characterize chrononutrition behaviors and their 15-year trends among US adults. We also explored the temporal associations between trends in chrononutrition behaviors and trends in obesity.

designWe utilized data from 8 cycles (2003-2018) of the National Health and Nutrition Examination Survey (NHANES) on 34,470 adults (age >19 years). The clock time of food/beverage consumption was extracted from two 24-h food recalls. The following chrononutrition behaviors were defined: 1) The clock time of the first, last, and midpoint (when 50% of total daily energy was consumed) of food/beverage intake; 2) Eating window (the time elapsed between the first and last intake); 3) Late-night eating (food intake between 21:00-23:59); and 4) Eating frequency. Survey-weighted % or mean ± standard error (SE) was used to demonstrate chrononutrition behaviors and survey-weighted regression models were utilized to evaluate trends in chrononutrition behaviors, BMI, and obesity over a 15-year period.

resultsThirty five percent of US adults had long eating windows lasting 13 h or more, with 59% of individuals consuming calories after 9 PM. The patterns of food intake among American adults were skewed, with the highest proportion of their daily energy intake (36%) being consumed during dinner meals. Notable differences in chrononutrition behaviors observed among different population subgroups. Young adults and men had longer eating windows with a higher prevalence of late-night eating compared to their age- and sex-counterparts. Black individuals had shorter eating periods due to delayed breakfast, the highest proportion (68%) of late-night eating, and obtained a greater amount of energy intake from snacks compared to other racial/ethnic groups. Over the 15-year span, there were only minor changes in a few aspects of chrononutrition behaviors, including 2% reduction in the time of eating window, while most other meal timing behaviors remained unchanged. Trends in chrononutrition behaviors were disproportionately smaller than the trends in obesity rates.

conclusionsUS adults persistently consume higher amounts of daily energy intake later in the day. Despite calls for Americans to shift intake to earlier parts of the day, this study shows that there is little change in the overall population over the 15-year period reviewed.

Indexed as

Energy IntakeFeeding BehaviorAdultDietHumansMaleMealsNutrition SurveysObesityUnited StatesYoung AdultBody's internal clockChrono dietCircadian nutritionMealtimesWeight

Identifiers

PMID37625320
PMCPMC10528735
OpenAlexW4385776054

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.