Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

159
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
159
Anatomy of the Intestines01:23

Anatomy of the Intestines

73.2K
Although digestion of proteins, carbohydrates, and lipids may begin in the stomach, it is completed in the intestine. The absorption of nutrients, water, and electrolytes from food and drink also occurs in the intestine. The intestines can be divided into two structurally distinct organs—the small and large intestines.
Small Intestines
The small intestine is an ~7 meter-long tube with an inner diameter of just 2.5 cm. Since most nutrients are absorbed here, the inner lining of the...
73.2K
Cause and Effect01:53

Cause and Effect

11.2K
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?
11.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Associations of the insulinemic potential of diet and lifestyle with metabolic dysfunction-associated steatotic liver disease (MASLD) risk in adults with type 2 diabetes.

Scientific reports·2026
Same author

The association between dietary total, animal and plant protein and macronutrient substitution; and the risk of all-cause, cardiovascular or cancer mortality in the Golestan cohort study.

BMC public health·2026
Same author

Retraction Note: The effect of hesperidin supplementation on metabolic profiles in patients with metabolic syndrome: a randomized, double-blind, placebo-controlled clinical trial.

European journal of nutrition·2026
Same author

Multi-Omics Analysis Defines Endotypes and Systemic Inflammation in Primary Ciliary Dyskinesia: A Comparison with Healthy Controls.

Annals of the American Thoracic Society·2026
Same author

Exclusion diet vs. exclusion diet plus partial enteral nutrition in management of pediatric Crohn's disease.

BMC pediatrics·2026
Same author

Association Between Dietary Advanced Glycation End Products (AGEs) and Pancreatic Fat Accumulation: Evidence From a Case-Control Study.

Endocrinology, diabetes & metabolism·2026

Related Experiment Video

Updated: Sep 2, 2025

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota
07:15

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

Published on: July 31, 2019

9.7K

Association between Sleeping Patterns and Mealtime with Gut Microbiome: A Pilot Study.

Zahra Mohammadi1, Faraz Bishehsari2, Sahar Masoudi1

  • 1Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.

Archives of Iranian Medicine
|August 9, 2022
PubMed
Summary

Late-night eating may alter gut microbiota (GM) composition, specifically increasing Erysipelotrichales abundance. Further research is needed to confirm these findings on gut health.

Keywords:
Dietary behaviorGut microbiome MealtimeSleeping pattern

More Related Videos

Author Spotlight: In Vitro Investigations of Circadian Rhythms in Multicellular Systems
05:44

Author Spotlight: In Vitro Investigations of Circadian Rhythms in Multicellular Systems

Published on: February 16, 2024

1.2K
Applying Advanced In Vitro Culturing Technology to Study the Human Gut Microbiota
06:23

Applying Advanced In Vitro Culturing Technology to Study the Human Gut Microbiota

Published on: February 15, 2019

14.3K

Related Experiment Videos

Last Updated: Sep 2, 2025

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota
07:15

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

Published on: July 31, 2019

9.7K
Author Spotlight: In Vitro Investigations of Circadian Rhythms in Multicellular Systems
05:44

Author Spotlight: In Vitro Investigations of Circadian Rhythms in Multicellular Systems

Published on: February 16, 2024

1.2K
Applying Advanced In Vitro Culturing Technology to Study the Human Gut Microbiota
06:23

Applying Advanced In Vitro Culturing Technology to Study the Human Gut Microbiota

Published on: February 15, 2019

14.3K

Area of Science:

  • Microbiology
  • Nutritional Science
  • Sleep Medicine

Background:

  • Disrupted sleep patterns associated with meal timing can lead to gut microbial imbalances.
  • These imbalances are linked to an increased risk of developing metabolic diseases.

Purpose of the Study:

  • To explore the connection between late-night eating behaviors, sleep patterns, and gut microbiota profiles.
  • This pilot study aimed to identify potential relationships within these factors.

Main Methods:

  • A cross-sectional study involving 36 male participants.
  • Data collection included questionnaires on lifestyle and sleep, alongside stool sample analysis for gut microbiota profiling via sequencing.

Main Results:

  • The dominant gut phyla were Firmicutes and Actinobacteria.
  • A significant difference was observed in the abundance of Erysipelotrichales at the order level between individuals with and without late-night eating habits (P & q < 0.05).

Conclusions:

  • Late-night eating habits were associated with a higher abundance of Erysipelotrichales in the gut microbiota.
  • Larger-scale studies are recommended to validate these findings and understand the impact of meal timing on microbial composition.