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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
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Short-term regulation of food intake primarily involves neural signals from the gastrointestinal (GI) tract, blood nutrient levels, and GI tract hormones. Communication between the gut and brain via vagal nerve fibers plays a significant role in evaluating the contents of the gut. Clinical studies have shown that protein ingestion produces a more prolonged response in these nerve fibers compared to an equivalent amount of glucose. Additionally, the activation of stretch receptors caused by GI...
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Updated: Sep 28, 2025

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Inconsistent eating time is associated with obesity: A prospective study.

Darbaz Adnan1, Jonathan Trinh1, Faraz Bishehsari1,2,3

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EXCLI Journal
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PubMed
Summary

Inconsistent eating schedules, especially when combined with late-night meals, are linked to higher Body Mass Index (BMI) in adults. This suggests meal timing may play a role in obesity risk.

Keywords:
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Area of Science:

  • Metabolic Health
  • Obesity Research
  • Chronobiology

Background:

  • Obesity is a complex condition associated with metabolic dysfunction and inflammation.
  • Modern lifestyles often disrupt natural circadian rhythms, affecting metabolic homeostasis.
  • Previous research indicates a potential link between circadian phenotypes and metabolic risks.

Purpose of the Study:

  • To investigate the association between inconsistent eating patterns and body weight in adults.
  • To determine if meal timing variations influence Body Mass Index (BMI).

Main Methods:

  • A cross-sectional study enrolled adults undergoing colon cancer screening.
  • Participants completed questionnaires detailing 7-day eating and sleeping schedules.
  • Inconsistent eating was defined as >2 hours difference in largest meal times between weekdays and weekends.

Main Results:

  • Individuals with inconsistent eating times exhibited significantly higher BMIs compared to those with regular schedules (33.8 vs. 27.5).
  • The highest BMIs were observed in participants who ate inconsistently and late in the day.
  • A statistically significant association (p=0.001) was found between eating time inconsistency and BMI.

Conclusions:

  • Inconsistent eating habits, particularly late-night meals, are associated with increased BMI in adults.
  • Meal timing appears to be a relevant factor in the context of obesity risk.
  • Further controlled cohort studies are necessary to establish a long-term causal relationship.