PHD Progress Of Disease In Prediabetic And Prehypertensive Patients In Malawi: Assessment Of Risk Factors And Complications 2017-18 (Karonga and Lilongwe combined analytical dataset)

Malawi

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Reference ID

MWI-MEIRU-combined-PHD-data-v01

Collections

Combined / Harmonized Datasets Karonga HDSS Lilongwe HDSS

Metadata

DDI/XML JSON

Created on

Nov 14, 2025

Last modified

Nov 15, 2025

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Have which kidney diseaset (S) (kiddis)

Data file: phd_combined_final

Overview

Valid: 4

Invalid: 861

Type: Discrete

Decimal: 0

Start: 318

End: 318

Width: 1

Range: 1 - 6

Format: Numeric

Questions and instructions

Literal question

Have which kidney disease

Categories

Value	Category	Cases
1	Glomerulonephritis	0	0%
2	Congenital abnormality of the kidneys	0	0%
3	Polycystic kidney disease	0	0%
4	Diabetic kidney disease	0	0%
5	Not told a cause	3	75%
6	Other	1	25%
8	Uknown	0	0%
9	Missing	0
Sysmiss		861

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition

Have which kidney diseaset

Imputation and derivation

Derivation

variable: kiddis (table[s]: phdk_phdq, phdl_phdq)

Others

Notes

Available in versions -, 1, 2

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