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

Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

5.0K
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...
5.0K
Diabetes Mellitus: Overview and Type I Subtype01:22

Diabetes Mellitus: Overview and Type I Subtype

5.4K
Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
Type 1 diabetes is an autoimmune disease in which the immune system mistakenly attacks and destroys the insulin-producing beta cells in the pancreas. As a result, the body is unable to produce sufficient insulin, and individuals with...
5.4K
Review and Preview01:10

Review and Preview

8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

11.5K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.5K
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

3.6K
Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.6K
Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

1.1K
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
1.1K

You might also read

Related Articles

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

Sort by
Same author

PROTOZOA CAUSING FOOD POISONING.

Journal of the Egyptian Society of Parasitology·2018
Same author

ZOONOTIC CUTANEOUS LESHMAIASIS THREE YEARS FEVER HOSPITAL RECORDS: WITH GENERAL DISCUSSION.

Journal of the Egyptian Society of Parasitology·2018
Same author

AN OVERVIEW OF OSTEOMYELITIS WITH REFERENCE TO TREATMENT IN PARTICULAR MAGGOT DEBRIDEMENT THERAPY (MDT).

Journal of the Egyptian Society of Parasitology·2018
Same author

A TRAINING PROGRAM FOR NURSING STAFF REGARDING BLOOD PARASITES ACQUIRED BY NEEDLE STICK INJURY IN A MILITARY HOSPITAL.

Journal of the Egyptian Society of Parasitology·2018
Same author

TICK-BORNE INFECTIOUS DISEASES WITH REFERENCE TO EGYPT.

Journal of the Egyptian Society of Parasitology·2018
Same author

ASEPTIC MENINGITIS IN ADULTS CAUSING BY VIRUS, BACTERIA, DRUG WITH SPECIAL REFERENCES TO ZOONOTIC PARASITES.

Journal of the Egyptian Society of Parasitology·2018

Related Experiment Video

Updated: Feb 6, 2026

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
10:03

A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

Published on: February 28, 2013

26.5K

REVIEW ON BONE DISEASE (OSTEOPOROSIS) IN DIABETES MELLITUS.

Ahmed Hassan Fawzi El-Tawdy, Eissa Abdel Hamed Ibrahim, Eman Mahmoud Aly Al Sakhawy

    Journal of the Egyptian Society of Parasitology
    |August 30, 2018
    PubMed
    Summary

    Type 1 diabetes (DM1) significantly elevates osteoporosis and hip fracture risk, increasing it 6.4-fold. This highlights the need for updated guidelines and research for managing bone health in diabetic patients.

    More Related Videos

    Surgical Bone Implantation Technique for Rat Tibia Models of Diabetes and Osteoporosis
    02:08

    Surgical Bone Implantation Technique for Rat Tibia Models of Diabetes and Osteoporosis

    Published on: July 5, 2024

    1.5K
    Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model
    06:59

    Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model

    Published on: September 8, 2023

    3.5K

    Related Experiment Videos

    Last Updated: Feb 6, 2026

    A Zebrafish Model of Diabetes Mellitus and Metabolic Memory
    10:03

    A Zebrafish Model of Diabetes Mellitus and Metabolic Memory

    Published on: February 28, 2013

    26.5K
    Surgical Bone Implantation Technique for Rat Tibia Models of Diabetes and Osteoporosis
    02:08

    Surgical Bone Implantation Technique for Rat Tibia Models of Diabetes and Osteoporosis

    Published on: July 5, 2024

    1.5K
    Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model
    06:59

    Author Spotlight: An Economic and Efficient Method for Quantitative Evaluation of Bone Microarchitecture in a Murine Osteoporosis Model

    Published on: September 8, 2023

    3.5K

    Area of Science:

    • Endocrinology
    • Orthopedics
    • Metabolic Bone Disease

    Background:

    • Osteoporosis affects 200 million globally, with 30% of postmenopausal women impacted.
    • Diabetes has emerged as a significant risk factor for bone frailty and fractures.
    • Type 1 diabetes (DM1) shows a more profound link to fracture risk than type 2 diabetes (DM2).

    Purpose of the Study:

    • To highlight the significant association between Type 1 Diabetes and increased osteoporosis and fracture risk.
    • To emphasize the need for updated clinical guidelines and research for bone health in DM1 patients.

    Main Methods:

    • Review of existing literature on osteoporosis, diabetes, and fracture risk.
    • Analysis of epidemiological data regarding the prevalence of osteoporosis and diabetes.
    • Comparative risk assessment of fracture in diabetic versus non-diabetic populations.

    Main Results:

    • Type 1 diabetes is associated with a 6.4-6.9 fold increase in hip fracture risk.
    • DM1 accounts for approximately 5% of all diabetes cases in the USA.
    • Increased life expectancy in DM1 patients is expected to lead to a rise in fracture incidence.

    Conclusions:

    • Understanding bone fragility in DM1 is crucial for patient care.
    • There is a need for updated diabetes guidelines, improved screening tools, and further research into therapeutic strategies for bone health in DM1.
    • The profound link between DM1 and fracture risk warrants specific attention in clinical practice and research.