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General information
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Author: Emma Grace Lewis
Contact:grace.lewis@ncl.ac.uk
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Introductory information
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Files included in the data deposit (include a short description of what data are contained): 

1)Multimorbidity frailty and sociodemographic charecteristics in 235 older adults in rural Tanzania, SPSS database.
2)Consent form
3)Information leaflet


Explain the relationship between multiple data sets, if required:

N/A

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Methodological information
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A brief method description – what the data is, how and why it was collected or created, and how it was processed:

Data were collected on hand-held tablet computers using data collection forms developed in Open Data Kit (ODK) software. Data were uploaded daily to a secure encrypted server. 
Data collection started with recruiting and screening the denominator population of adults aged =60 years living in the five randomly selected villages in Hai district of Northern Tanzania using the “Brief Frailty Instrument for Tanzania” (B-FIT). A frailty-weighted randomisation procedure was then conducted using a random number list. All participants who were found to be frail by the B-FIT screen (scoring 5-6), and a random sample of approximately 50% of pre-frail participants (scoring 2-4) and a random sample of approximately 10% of non-frail participants (scoring 0-1), were selected and invited for Comprehensive Geriatric Assessment (CGA) and in-depth assessment. This method of weighted randomisation has produced this data for 235 older individuals


Instruments, hardware and software used: 
Barthel index,
Instrumental Activities of Daliy Living,
Mini-nutritional Assessment,
WHO Sage Social Cohesion
DUREL
EURO-D
CASP-19
BMI
BP
WHODAS-SF
Grip strength
BMI
MUAC
Barthel index
IDEA cognitive screening tool
Calf circumference
Peak flow
"Timed up and go"
Peak expiratory flow
4.5m walk timed
Free text problem lists
Self-reported diagnosis lists
Clinically-assessed diagnosis lists
Socio-demographic factors.

Date(s) of data collection: 
Cross-sectional data were collected between 24th February and 9th August 2017.


Geographic coverage of data:
Hai district demographic surveillance site (DSS), located in the Kilimanjaro region of Northern Tanzania. Five villages were randomly selected.


Data validation (how was the data checked, proofed and cleaned):

The first author was involved in quality-control in the field at time of data collection through data-checking at the time of upload to the secure encypted server. Data were cleaned and analysed by the first author and co-authors.

Overview of secondary data, if used:
N/A


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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 
SSA Sub-Saharan Africa
demographic surveillance site (DSS)
B-FIT Brief Frailty Instrument for Tanzania 
comprehensive geriatric assessment (CGA
Instrumental activities of daily living (IADLs) 
Intervention for Dementia in Elderly Africans (IDEA)
Barthel Index (BI) 
Community Screening Instrument for Dementia (CSI-D)). 
Body Mass Index (BMI), 
mid-upper arm circumference (MUAC)
Timed-up-and-go (TUG) 
hand grip strength (HGS)
Peak Expiratory Flow (PEF).
EURO-D scale

Explanation of weighting and grossing variables: 
The variable sampwt represents the sample weighting by which each group of B-FIT frail, pre-frail and non-frail can be adjusted to represent the proportion of each group in the community. Around 100% of frail individuals were included, half of pre-frail and about 10% of non-frail. That is, for each non-frail participant randomly included in the study sample, 11 were excluded at random.


Outline any missing data:
Missing data are very few, but have not been imputed in this database.