Reach Us +44 7460312890

Abstract

Estimation of Familial Association of Blood Pressure with BMI and WHR among Type 2 Diabetic and Non-diabetic Punjabi Population in Punjab, India

Background: There is a common opinion that Indians have more tendencies to develop greater waist circumference and waist to hip ratio, thus having a greater degree of central obesity. This total abdominal and visceral fat increases insulin resistance and the development of type 2 diabetes with elevated blood pressure.

Objective: To describe the basic design for family correlation between blood pressure phenotypes, body mass index (BMI) and waist to hip ratio (WHR) among non-diabetic and type 2 diabetic individuals. Methods: A cross-sectional descriptive study of 449 (246 non-diabetic and 203 type 2 diabetic) individuals from 130 families were ascertained for the present study. The anthropometric  measurements included height (cm), weight (kg), waist circumference (cm), hip circumference (cm), biceps skinfold (mm), triceps skinfold (mm), mid upper arm circumference (MUAC) (cm). The physiometric variables included systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial blood pressure (MBP) and pulse rate. All the measurements were taken on each individual using standard technique.

Results: It is observed from the present investigation that type 2 diabetes predominately occur among male individuals. It has been observed that onset of type 2 diabetes among female offspring is much lower (31.67 ± 5.58 years) as compared to male offspring (40.75 ± 5.98 years). The descriptive analysis suggests that most of the anthropometric variables are significantly (p<0.001) associated with diabetic individuals in both generations. Conclusion: The present study reveals a pronounced role of cohabitation and familial aggregation for the association of blood pressure with BMI and WHR among non-diabetic individuals as compared to diabetic individuals.


Author(s):

Badaruddoza Badaruddoza , Ramandeep Kaur , Basanti Barna



Abstract | Full-Text | PDF

Share this  Facebook  Twitter  LinkedIn  Google+
30+ Million Readerbase
Recommended Conferences
Flyer image
Abstracted/Indexed in
  • Google Scholar
  • Open J Gate
  • Genamics JournalSeek
  • JournalTOCs
  • ResearchBible
  • The Global Impact Factor (GIF)
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Scimago
  • Electronic Journals Library
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
  • Proquest Summons
  • Publons
  • MIAR
  • ResearchGate
  • DeepDyve
  • University Grants Commission
  • Geneva Foundation for Medical Education and Research
  • Secret Search Engine Labs