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    Home / Central Data Catalog / MWI-MEIRU-BIOIMP-HANDGRIP-COMBINED-V01
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All Bioimpedance and Hand-grip Data (Karonga and Lilongwe combined data)

Malawi, 2016 - 2019
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Reference ID
MWI-MEIRU-bioimp-handgrip-combined-v01
Collections
Combined / Harmonized Datasets Karonga HDSS Lilongwe HDSS
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 14, 2025
Last modified
Nov 18, 2025
Page views
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  • Study Description
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  • bioimp_handgrip_combined

Data file: bioimp_handgrip_combined

Data on bio-impedance and hand-grip were collected in several studies in Karonga and Lilongwe, and these data are combined into one dataset using the do-file bioimp_handgrip_combine.do
The variables available are slightly different for each study so each dataset are harmonised before being appended together.
An attempt is made to have at least one set of fat mass (kg & %) and fat-free mass (kg &%) variables for each record: in some studies one or all of these were produced by the bioimpendace machine and recorded, in others the impedance value from the machine was recorde, in others the impedance value was not recorded but the resistance value was. To account for all these differences 3 different versions of the body mass variable are given:
*_M values directly from the machine, or derived from machine values
*_I values calculated using the weight/height and the impedance value
*_R values calculated using the weight/height and the resistance value

Data on bio-impedance and hand-grip were collected in the following studies:
ARK African Research into Kidney Disease Study
GAP Study of growth and stunting in adolescents
KDU Kidney disease of unknown origin study
NUT Development of nutritional strategies for diabetes prevention in Malawian adults at high diabetes risks
PHD Pre-hypertension, pre-diabetes study

In the variable labels (S) indicates that the variable is unchanged from the original source and (D) indicates that it is a 'derived' variable, often using more than one source variable. For both types information on where the data come from and how they are processed is found in the 'Recoding and Derivation' section

Cases: 3427
Variables: 33

Variables

ident
Unique identifier (Karonga) (S)
stid
Study id (S)
study
Source of data (coded) (D)
source
Source of data (text) (D)
site
Site of data (D)
birth_date
Date of birth (D)
sex
Sex (D)
age
Age at measurements (D)
intdate
Date of measurements (S)
weight
Weight in kg (D)
height
Height in cm (D)
BMI
Body mass index (D)
impval
Impedance value (D)
resval
Resistance value (D)
reacval
Reactance value (D)
fatmass_M
Fat mass in KG (machine value) (D)
fatmass_I
Fat mass in KG (value calculated using impedance) (D)
fatmass_R
Fat mass in KG (value calculated using resistance) (D)
fatmasspc_M
Fat mass % (machine value) (D)
fatmasspc_I
Fat mass % (value calculated using impedance) (D)
fatmasspc_R
Fat mass % (value calculated using resistance) (D)
ffmass_M
Fat-free mass in KG (machine value) (D)
ffmass_I
Fat-free mass in KG (value calculated using impedance) (D)
ffmass_R
Fat-free mass in KG (value calculated using resistance) (D)
ffmasspc_M
Fat-free mass % (machine value) (D)
ffmasspc_I
Fat-free mass % (value calculated using impedance) (D)
ffmasspc_R
Fat-free mass % (value calculated using resistance) (D)
dropped_M
Values from machine dropped due to inconsitency (D)
dropped_I
Values calculated using impedance dropped due to inconsitency (D)
dropped_R
Values calculated using resistance dropped due to inconsitency (D)
hg_left
Hand grip (left) (D)
hg_right
Hand grip (right) (D)
hgs
Hand grip (average of left and right) (D)
Total: 33
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