Data for: A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 Diabetes: an analysis of NMB-2017, a nationwide cross sectional study

Published: 24 Feb 2020 | Version 1 | DOI: 10.17632/twp8xw6p25.1

Description of this data

This is a dataset of 7496 Asian Indians with the following information:

  1. PatientId
  2. (Location Info) Zone, State, District
  3. (Demographic) Age, Gender
  4. (Anthropometric) Waist Circ in cm, Height in cm, Weight in kg
  5. (Health and Lifestyle) Self Declared Diabetes, Father/Mother with Diabetes, HbA1C, Physical Activity
    Based on this data it has various calculated columns pertaining to obesity and other diabetes risk factors

Experiment data files

This data is associated with the following publication:

A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 diabetes: An analysis of NMB-2017, a nationwide cross-sectional study

Published in: Diabetes Research and Clinical Practice

Latest version

  • Version 1

    2020-02-24

    Published: 2020-02-24

    DOI: 10.17632/twp8xw6p25.1

    Cite this dataset

    Nagarathna, Raghuram; Patil, Suchitra S.; Nagendra, Hongasandra; SK, Rajesh; Venkatrao, Murali; Singh, Amit (2020), “Data for: A composite of BMI and waist circumference may be a better obesity metric in Indians with high risk for type 2 Diabetes: an analysis of NMB-2017, a nationwide cross sectional study”, Mendeley Data, v1 http://dx.doi.org/10.17632/twp8xw6p25.1

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Categories

Diabetes

Licence

CC0 1.0 Learn more

The files associated with this dataset are licensed under a Public Domain Dedication licence.

What does this mean?
You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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