RAM-OP Indicators Dataset - ALL — indicators.ALL • oldr

Indicators dataset calculated from a dataset collected from a RAM-OP survey conducted in Addis Ababa, Ethiopia in early 2014

Usage

indicators.ALL

Format

A data frame with 138 columns and 192 rows:

psu: Cluster (PSU) identifier
resp1: Respondent is SUBJECT
resp2: Respondent is FAMILY CARER
resp3: Respondent is OTHER CARER
resp4: Respondent is OTHER
age: Age of respondents (years)
ageGrp1: Age of respondent is between 50 and 59 years
ageGrp2: Age of respondent is between 60 and 69 years
ageGrp3: Age of respondent is between 70 and 79 years
ageGrp4: Age of respondent is between 80 and 89 years
ageGrp5: Age of respondent is 90 years or older
sex1: Sex = MALE
sex2: Sex = FEMALE
marital1: Marital status = SINGLE
marital2: Marital status = MARRIED
marital3: Marital status = LIVING TOGETHER
marital4: Marital status = DIVORCED
marital5: Marital status = WIDOWED
marital6: Marital status = OTHER
alone: Respondent lives alone
MF: Meal frequency
DDS: DDS (count of 11 groups)
FG01: Cereals
FG02: Roots and tubers
FG03: Fruits and vegetables
FG04: All meat
FG05: Eggs
FG06: Fish
FG07: Legumes, nuts, and seeds
FG08: Milk and milk products
FG09: Fats
FG10: Sugar
FG11: Other
proteinRich: Protein rich animal sources of protein
pProtein: Protein rich plant sources of protein
aProtein: Protein rich animal sources of protein
pVitA: Plant sources of vitamin A
aVitA: Animal sources of vitamin A
xVitA: Any source of vitamin A
ironRich: Iron rich foods
caRich: Calcium rich foods
znRich: Zinc rich foods
vitB1: Vitamin B1-rich foods
vitB2: Vitamin B2-rich foods
vitB3: Vitamin B3-rich foods
vitB6: Vitamin B6-rich foods
vitB12: Vitamin B12-rich foods
vitBcomplex: Vitamin B1/B2/B3/B6/B12-rich foods
HHS1: Little or no hunger in household
HHS2: Moderate hunger in household
HHS3: Severe hunger in household
ADL01: Bathing
ADL02: Dressing
ADL03: Toileting
ADL04: Transferring (mobility)
ADL05: Continence
ADL06: Feeding
scoreADL: ADL score
classADL1: Severity of dependence = INDEPENDENT
classADL2: Severity of dependence = PARTIAL DEPENDENCY
classADL3: Severity of dependence = SEVERE DEPENDENCY
hasHelp: Has someone to help with ADL
unmetNeed: Unmet need (dependency with NO helper)
K6: K6 score
K6Case: K6 score > 12 (in serious psychological distress)
DS: Probable dementia by CSID screen
H1: Chronic condition
H2: Takes drugs regularly for chronic condition
H31: Main reason for not taking drugs for chronic condition: No drugs available
H32: Main reason for not taking drugs for chronic condition: Too expensive / no money
H33: Main reason for not taking drugs for chronic condition: Too old to look for care
H34: Main reason for not taking drugs for chronic condition: Use traditional medicine
H35: Main reason for not taking drugs for chronic condition: Drugs don't help
H36: Main reason for not taking drugs for chronic condition: No one to help me
H37: Main reason for not taking drugs for chronic condition: No need
H38: Main reason for not taking drugs for chronic condition: Other
H39: Main reason for not taking drugs for chronic condition: No reason given
H4: Recent disease episode
H5: Accessed care for recent disease episode
H61: Main reason for not accessing care for recent disease episode: No drugs available
H62: Main reason for not accessing care for recent disease episode: Too expensive / no money
H63: Main reason for not accessing care for recent disease episode: Too old to look for care
H64: Main reason for not accessing care for recent disease episode: Use traditional medicine
H65: Main reason for not accessing care for recent disease episode: Drugs don't help
H66: Main reason for not accessing care for recent disease episode: No one to help me
H67: Main reason for not accessing care for recent disease episode: No need
H68: Main reason for not accessing care for recent disease episode: Other
H69: Main reason for not accessing care for recent disease episode: No reason given
M1: Has a personal income
M2A: Agriculture / fishing / livestock
M2B: Wages / salary
M2C: Sale of charcoal / bricks / etc
M2D: Trading (e.g. market or shop)
M2E: Investments
M2F: Spending savings / sale of assets
M2G: Charity
M2H: Cash transfer / Social security
M2I: Other
W1: Improved source of drinking water
W2: Safe drinking water (improved source OR adequate treatment)
W3: Improved sanitation facility
W4: Improved non-shared sanitation facility
MUAC: Mid-upper arm circumference (mm)
oedema: Presence of oedema
screened: Screened with oedema check and MUAC measurement in previous month
poorVA: Poor visual acuity
chew: Problems chewing food
food: Anyone in household receives a ration
NFRI: Anyone in HH received non-food relief item(s) in previous month
wgVisionD0: Vision domain 0
wgVisionD1: Vision domain 1
wgVisionD2: Vision domain 2
wgVisionD3: Vision domain 3
wgHearingD0: Hearing domain 0
wgHearingD1: Hearing domain 1
wgHearingD2: Hearing domain 2
wgHearingD3: Hearing domain 3
wgMobilityD0: Mobility domain 0
wgMobilityD1: Mobility domain 1
wgMobilityD2: Mobility domain 2
wgMobilityD3: Mobility domain 3
wgRememberingD0: Remembering domain 0
wgRememberingD1: Remembering domain 1
wgRememberingD2: Remembering domain 2
wgRememberingD3: Remembering domain 3
wgSelfCareD0: Self-care domain 0
wgSelfCareD1: Self-care domain 1
wgSelfCareD2: Self-care domain 2
wgSelfCareD3: Self-care domain 3
wgCommunicatingD0: Communicating domain 0
wgCommunicatingD1: Communicating domain 1
wgCommunicatingD2: Communicating domain 2
wgCommunicatingD3: Communicating domain 3
wgP0: Overall prevalence 0
wgP1: Overall prevalence 1
wgP2: Overall prevalence 2
wgP3: Overall prevalence 3
wgPM: Overall prevalence

Examples

indicators.ALL
#> # A tibble: 192 × 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    67       0       1       0       0       0
#>  2   201     1     0     0     0    74       0       0       1       0       0
#>  3   201     1     0     0     0    60       0       1       0       0       0
#>  4   201     1     0     0     0    60       0       1       0       0       0
#>  5   201     1     0     0     0    85       0       0       0       1       0
#>  6   201     0     1     0     0    86       0       0       0       1       0
#>  7   201     1     0     0     0    80       0       0       0       1       0
#>  8   201     1     0     0     0    60       0       1       0       0       0
#>  9   201     1     0     0     0    62       0       1       0       0       0
#> 10   201     1     0     0     0    72       0       0       1       0       0
#> # ℹ 182 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>, …