Javascript must be enabled to continue!
Sexual dimorphism of dermatoglyphic features in Type 2 diabetes mellitus patients of West Bengal: A cross-sectional study
View through CrossRef
Background: Dermatoglyphics is the study of epidermal ridge patterns on the fingers, palms, and soles. Correlation of dermatoglyphic patterns with many chromosomal abnormalities and genetic predisposing diseases such as diabetes mellitus, hypertension, schizophrenia, and bronchial asthma is evidenced by many researchers. Literature on sexual dimorphism of dermatoglyphic patterns revealed it as an important characteristic feature.
Aims and Objectives: The aim of the study is to study the variance of ridge patterns among male and female patients of Type 2 diabetes mellitus patients of West Bengal and determine the sex-specific digital and palmar ridge patterns in Type 2 Diabetes mellitus.
Materials and Methods: A cross-sectional study has been done on 100 male and 100 female Type 2 diabetes mellitus patients. Digital and palmar prints were taken by the traditional ink method. Digital ridge pattern, pattern intensity index, total finger ridge count (TFRC), absolute finger ridge count (AFRC), and a-b ridge count were studied. The data on these patterns was recorded and statistically analyzed by Chi-square test and Student’s t-test.
Results: The frequency of ulnar loop is higher in female diabetics in comparison to male diabetics. Statistically significant increase in mean TFRC and mean AFRC is seen in male diabetics.
Conclusion: Our study exhibits that dermatoglyphic pattern significantly differs in male and female diabetics. The knowledge and reference range of dermatoglyphic parameters among male and female diabetics are essential in the use of this study as a screening tool or diagnostic tool in Type 2 diabetes mellitus.
Pharmamedix India Publication Pvt Ltd
Title: Sexual dimorphism of dermatoglyphic features in Type 2 diabetes mellitus patients of West Bengal: A cross-sectional study
Description:
Background: Dermatoglyphics is the study of epidermal ridge patterns on the fingers, palms, and soles.
Correlation of dermatoglyphic patterns with many chromosomal abnormalities and genetic predisposing diseases such as diabetes mellitus, hypertension, schizophrenia, and bronchial asthma is evidenced by many researchers.
Literature on sexual dimorphism of dermatoglyphic patterns revealed it as an important characteristic feature.
Aims and Objectives: The aim of the study is to study the variance of ridge patterns among male and female patients of Type 2 diabetes mellitus patients of West Bengal and determine the sex-specific digital and palmar ridge patterns in Type 2 Diabetes mellitus.
Materials and Methods: A cross-sectional study has been done on 100 male and 100 female Type 2 diabetes mellitus patients.
Digital and palmar prints were taken by the traditional ink method.
Digital ridge pattern, pattern intensity index, total finger ridge count (TFRC), absolute finger ridge count (AFRC), and a-b ridge count were studied.
The data on these patterns was recorded and statistically analyzed by Chi-square test and Student’s t-test.
Results: The frequency of ulnar loop is higher in female diabetics in comparison to male diabetics.
Statistically significant increase in mean TFRC and mean AFRC is seen in male diabetics.
Conclusion: Our study exhibits that dermatoglyphic pattern significantly differs in male and female diabetics.
The knowledge and reference range of dermatoglyphic parameters among male and female diabetics are essential in the use of this study as a screening tool or diagnostic tool in Type 2 diabetes mellitus.
Related Results
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Pendidikan dan promosi kesehatan tentang diabetes mellitus
Health education and promotion about diabetes mellitus
Introduction: Diabetes mellitus in Indonesia is a serious threat to health development. The 2010 NCD World Health Organizatio...
Fetal and infant head circumference sexual dimorphism in primates
Fetal and infant head circumference sexual dimorphism in primates
AbstractStudies have shown that after controlling for the effects of body size on brain size, the brains of adult humans, rhesus monkeys, and chimpanzees differ in relative size, w...
PENGARUH TERAPI RELAKSASI OTOT PROGRESIF TERHADAP PENURUNAN KADAR GLUKOSA DARAH PADA DIABETES MELITUS TIPE II
PENGARUH TERAPI RELAKSASI OTOT PROGRESIF TERHADAP PENURUNAN KADAR GLUKOSA DARAH PADA DIABETES MELITUS TIPE II
ABSTRACT
Background: Type II Diabetes Mellitus or commonly called lifestyle diabetes is diabetes caused by an unhealthy lifestyle. In someone with type II diabetes mellitus, ...
Differences in Serum Creatinine Levels in Controlled and Uncontrolled Type 2 Diabetes Mellitus Patients
Differences in Serum Creatinine Levels in Controlled and Uncontrolled Type 2 Diabetes Mellitus Patients
Diabetes Mellitus is in the top 10 causes of death in the world. Indonesia ranks 5th out of 10 countries in the number of diabetes mellitus sufferers in adults aged 20-79 years. Ty...
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
A Multi-Polygenic Risk Score Approach Incorporating Physical Activity Genotypes for Predicting Type 2 Diabetes and Associated Comorbidities: A FinnGen Study
ABSTRACT
Aims/hypothesis
Genetic prediction of type 2 diabetes risk has proven difficult using current methods. Recent studies have shown...
Diabetes Awareness Among High School Students in Qatar
Diabetes Awareness Among High School Students in Qatar
Diabetes is a disease that occurs when there is an abundance of glucose in the blood stream and the body cannot produce enough insulin in the pancreas to transfer the sugar from th...
Pendidikan Kesehatan dengan Media Infografis Interaktif Meningkatkan Pengetahuan Remaja Mengenai Diabetes Mellitus
Pendidikan Kesehatan dengan Media Infografis Interaktif Meningkatkan Pengetahuan Remaja Mengenai Diabetes Mellitus
Diabetes Mellitus (DM) is a metabolic disorder that causes abnormal increases in blood sugar levels. According to the health sector's Minimum Service Standards (SPM) data for Semar...
Diabetes Prediction Using Machine Learning
Diabetes Prediction Using Machine Learning
The research analyzes machine learning methods for predicting diabetes through Pima Indians Diabetes Dataset analysis. The optimization of XGBoost and Logistic Regression (LR), Sup...

