Indicators dataset calculated from a dataset collected from a RAM-OP survey conducted in Addis Ababa, Ethiopia in early 2014. This indicator dataset is from the subset of men/males of the total sample.
Format
A data frame with 138 columns and 113 rows:
psuCluster (PSU) identifier
resp1Respondent is SUBJECT
resp2Respondent is FAMILY CARER
resp3Respondent is OTHER CARER
resp4Respondent is OTHER
ageAge of respondents (years)
ageGrp1Age of respondent is between 50 and 59 years
ageGrp2Age of respondent is between 60 and 69 years
ageGrp3Age of respondent is between 70 and 79 years
ageGrp4Age of respondent is between 80 and 89 years
ageGrp5Age of respondent is 90 years or older
sex1Sex = MALE
sex2Sex = FEMALE
marital1Marital status = SINGLE
marital2Marital status = MARRIED
marital3Marital status = LIVING TOGETHER
marital4Marital status = DIVORCED
marital5Marital status = WIDOWED
marital6Marital status = OTHER
aloneRespondent lives alone
MFMeal frequency
DDSDDS (count of 11 groups)
FG01Cereals
FG02Roots and tubers
FG03Fruits and vegetables
FG04All meat
FG05Eggs
FG06Fish
FG07Legumes, nuts, and seeds
FG08Milk and milk products
FG09Fats
FG10Sugar
FG11Other
proteinRichProtein rich animal sources of protein
pProteinProtein rich plant sources of protein
aProteinProtein rich animal sources of protein
pVitAPlant sources of vitamin A
aVitAAnimal sources of vitamin A
xVitAAny source of vitamin A
ironRichIron rich foods
caRichCalcium rich foods
znRichZinc rich foods
vitB1Vitamin B1-rich foods
vitB2Vitamin B2-rich foods
vitB3Vitamin B3-rich foods
vitB6Vitamin B6-rich foods
vitB12Vitamin B12-rich foods
vitBcomplexVitamin B1/B2/B3/B6/B12-rich foods
HHS1Little or no hunger in household
HHS2Moderate hunger in household
HHS3Severe hunger in household
ADL01Bathing
ADL02Dressing
ADL03Toileting
ADL04Transferring (mobility)
ADL05Continence
ADL06Feeding
scoreADLADL score
classADL1Severity of dependence = INDEPENDENT
classADL2Severity of dependence = PARTIAL DEPENDENCY
classADL3Severity of dependence = SEVERE DEPENDENCY
hasHelpHas someone to help with ADL
unmetNeedUnmet need (dependency with NO helper)
K6K6 score
K6CaseK6 score > 12 (in serious psychological distress)
DSProbable dementia by CSID screen
H1Chronic condition
H2Takes drugs regularly for chronic condition
H31Main reason for not taking drugs for chronic condition: No drugs available
H32Main reason for not taking drugs for chronic condition: Too expensive / no money
H33Main reason for not taking drugs for chronic condition: Too old to look for care
H34Main reason for not taking drugs for chronic condition: Use traditional medicine
H35Main reason for not taking drugs for chronic condition: Drugs don't help
H36Main reason for not taking drugs for chronic condition: No one to help me
H37Main reason for not taking drugs for chronic condition: No need
H38Main reason for not taking drugs for chronic condition: Other
H39Main reason for not taking drugs for chronic condition: No reason given
H4Recent disease episode
H5Accessed care for recent disease episode
H61Main reason for not accessing care for recent disease episode: No drugs available
H62Main reason for not accessing care for recent disease episode: Too expensive / no money
H63Main reason for not accessing care for recent disease episode: Too old to look for care
H64Main reason for not accessing care for recent disease episode: Use traditional medicine
H65Main reason for not accessing care for recent disease episode: Drugs don't help
H66Main reason for not accessing care for recent disease episode: No one to help me
H67Main reason for not accessing care for recent disease episode: No need
H68Main reason for not accessing care for recent disease episode: Other
H69Main reason for not accessing care for recent disease episode: No reason given
M1Has a personal income
M2AAgriculture / fishing / livestock
M2BWages / salary
M2CSale of charcoal / bricks / etc
M2DTrading (e.g. market or shop)
M2EInvestments
M2FSpending savings / sale of assets
M2GCharity
M2HCash transfer / Social security
M2IOther
W1Improved source of drinking water
W2Safe drinking water (improved source OR adequate treatment)
W3Improved sanitation facility
W4Improved non-shared sanitation facility
MUACMid-upper arm circumference (mm)
oedemaPresence of oedema
screenedScreened with oedema check and MUAC measurement in previous month
poorVAPoor visual acuity
chewProblems chewing food
foodAnyone in household receives a ration
NFRIAnyone in HH received non-food relief item(s) in previous month
wgVisionD0Vision domain 0
wgVisionD1Vision domain 1
wgVisionD2Vision domain 2
wgVisionD3Vision domain 3
wgHearingD0Hearing domain 0
wgHearingD1Hearing domain 1
wgHearingD2Hearing domain 2
wgHearingD3Hearing domain 3
wgMobilityD0Mobility domain 0
wgMobilityD1Mobility domain 1
wgMobilityD2Mobility domain 2
wgMobilityD3Mobility domain 3
wgRememberingD0Remembering domain 0
wgRememberingD1Remembering domain 1
wgRememberingD2Remembering domain 2
wgRememberingD3Remembering domain 3
wgSelfCareD0Self-care domain 0
wgSelfCareD1Self-care domain 1
wgSelfCareD2Self-care domain 2
wgSelfCareD3Self-care domain 3
wgCommunicatingD0Communicating domain 0
wgCommunicatingD1Communicating domain 1
wgCommunicatingD2Communicating domain 2
wgCommunicatingD3Communicating domain 3
wgP0Overall prevalence 0
wgP1Overall prevalence 1
wgP2Overall prevalence 2
wgP3Overall prevalence 3
wgPMOverall prevalence
Examples
indicators.MALES
#> # A tibble: 79 × 138
#> psu resp1 resp2 resp3 resp4 age ageGrp1 ageGrp2 ageGrp3 ageGrp4 ageGrp5
#> <int> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 201 1 0 0 0 74 0 0 1 0 0
#> 2 201 1 0 0 0 60 0 1 0 0 0
#> 3 201 0 1 0 0 86 0 0 0 1 0
#> 4 201 1 0 0 0 80 0 0 0 1 0
#> 5 201 1 0 0 0 62 0 1 0 0 0
#> 6 202 1 0 0 0 68 0 1 0 0 0
#> 7 202 1 0 0 0 68 0 1 0 0 0
#> 8 202 1 0 0 0 65 0 1 0 0 0
#> 9 202 1 0 0 0 67 0 1 0 0 0
#> 10 202 1 0 0 0 80 0 0 0 1 0
#> # ℹ 69 more rows
#> # ℹ 127 more variables: sex1 <dbl>, sex2 <dbl>, marital1 <dbl>, marital2 <dbl>,
#> # marital3 <dbl>, marital4 <dbl>, marital5 <dbl>, marital6 <dbl>,
#> # alone <dbl>, MF <dbl>, DDS <dbl>, FG01 <dbl>, FG02 <dbl>, FG03 <dbl>,
#> # FG04 <dbl>, FG05 <dbl>, FG06 <dbl>, FG07 <dbl>, FG08 <dbl>, FG09 <dbl>,
#> # FG10 <dbl>, FG11 <dbl>, proteinRich <dbl>, pProtein <dbl>, aProtein <dbl>,
#> # pVitA <dbl>, aVitA <dbl>, xVitA <dbl>, ironRich <dbl>, caRich <dbl>, …