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

Obesity01:24

Obesity

507
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...
507
Coefficient of Correlation01:12

Coefficient of Correlation

6.2K
The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...
6.2K
Correlations02:20

Correlations

32.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
32.8K
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

2.4K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
2.4K
Correlation01:09

Correlation

11.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
11.8K
Odds Ratio01:09

Odds Ratio

140
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
140

You might also read

Related Articles

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

Sort by
Same author

Broad-Spectrum Antimicrobial Activity of a Ruthenium(II) Polypyridyl Complex against Multidrug-Resistant Uropathogens and Biofilms.

ACS omega·2026
Same author

Conservation of IAMT preference for indole acetic acid methylation across 250 million years of seed plant divergence, with only one recent evolutionary switch in Ocimum.

Genome biology and evolution·2026
Same author

Neat deep eutectic solvents exhibit potent antibiofilm activity: overcoming dilution bias in eutectic solvent antimicrobial assays.

Journal of applied microbiology·2026
Same author

Antifungal activity of metal-based coatings on polytunnel surfaces.

Journal of applied microbiology·2026
Same author

Association between spirochaetal infection and neurodegenerative diseases: a systematic review and quantitative synthesis of observational studies.

Journal of medical microbiology·2026
Same author

Synergistic interactions of ruthenium-based carbon monoxide-releasing molecules and antibiotics in their effects on <i>Escherichia coli</i>.

Microbiology (Reading, England)·2026
Same journal

Understanding PGT-M: A Guide for Clinicians.

Seminars in reproductive medicine·2026
Same journal

Genetics in Reproduction.

Seminars in reproductive medicine·2026
Same journal

Genetics in Reproduction.

Seminars in reproductive medicine·2026
Same journal

Clinical Genetics in Reproductive Medicine: Variant Classification, Medically Actionable Genes, and Carrier Screening.

Seminars in reproductive medicine·2026
Same journal

Clinical Testing for Genetic Conditions.

Seminars in reproductive medicine·2026
Same journal

Genetics of Primary Ovarian Insufficiency.

Seminars in reproductive medicine·2026
See all related articles

Related Experiment Video

Updated: Jul 8, 2025

A Primary Human Trophoblast Model to Study the Effect of Inflammation Associated with Maternal Obesity on Regulation of Autophagy in the Placenta
11:44

A Primary Human Trophoblast Model to Study the Effect of Inflammation Associated with Maternal Obesity on Regulation of Autophagy in the Placenta

Published on: September 27, 2017

11.4K

Obesity and Miscarriage.

Samantha McLean1, Christina E Boots2

  • 1Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Seminars in Reproductive Medicine
|December 15, 2023
PubMed
Summary
This summary is machine-generated.

Obesity in women is linked to reproductive health issues and higher miscarriage rates. This review explores the connection between body mass index (BMI) and early pregnancy loss, examining contributing factors and interventions.

More Related Videos

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.5K
External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

14.6K

Related Experiment Videos

Last Updated: Jul 8, 2025

A Primary Human Trophoblast Model to Study the Effect of Inflammation Associated with Maternal Obesity on Regulation of Autophagy in the Placenta
11:44

A Primary Human Trophoblast Model to Study the Effect of Inflammation Associated with Maternal Obesity on Regulation of Autophagy in the Placenta

Published on: September 27, 2017

11.4K
Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
14:56

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies

Published on: May 6, 2022

4.5K
External Cephalic Version: Is it an Effective and Safe Procedure?
08:49

External Cephalic Version: Is it an Effective and Safe Procedure?

Published on: June 6, 2020

14.6K

Area of Science:

  • Reproductive Endocrinology
  • Maternal-Fetal Medicine
  • Obesity Medicine

Background:

  • Obesity impacts nearly 40% of reproductive-aged women, posing risks to overall and reproductive health.
  • Elevated body mass index (BMI) is associated with anovulation, irregular menses, reduced fertility treatment success, and increased pregnancy complications.
  • While studies link obesity to early pregnancy loss, the causal relationship between BMI and miscarriage remains unclear due to multifactorial influences.

Conclusions:

  • Obesity is a significant risk factor for miscarriage, necessitating targeted interventions.
  • A comprehensive approach considering nutrition, physical activity, and insulin resistance is crucial.
  • Further research is needed to fully elucidate the causal links and optimize treatment strategies.