Data and code for WASH and risk of relapse in Mali, South Sudan and Somalia – Data Codebook

Persistent identifier

10.17037/DATA.00004738

Description

Replication package for “Association of water, sanitation, hygiene, and animal ownership with relapse to acute malnutrition among children aged 6-59 months in Mali, South Sudan, and Somalia: a multi-site prospective cohort study". This package contains:

Data Codebook

Mali Wash Regression dataset

The ‘mali_wash_regression’ dataset is structured for Mali glm analysis.

Variable Name Variable Label Answer Label Answer Code Variable Type
id_unique Study ID unique across all 3 countries Open ended   Numeric
clinic Clinic name     Numeric
    Dialakasso 1  
    Diamou 2  
    Dramane 3  
    Kayes Ndi 4  
    Koniakary 5  
    Lafiabougou 6  
    Logo-Saboussiro 7  
    Plateau 8  
    Segala 9  
    Kahda 10  
    Gabat 11  
    Malualbaai 12  
    Malualkon 13  
    Wanjok 14  
    Warawar 15  
    Yargot 16  
    Sadiola 17  
female Is participant female?     Numeric
    no 0  
    yes 1  
enrollcritmet3 Enrollment criteria met: all above MUAC and WHZ criteria     Numeric
    no 0  
    yes 1  
agecat0 Age category     Numeric
    < 6m 0  
    6-12m 1  
    12-18m 2  
    18-24m 3  
    24-36m 4  
    36-59m 5  
haz0 Height for Age Z score (calculated at enrolment) Open ended   Numeric
waz0 Weight for Age Z score (calculated at enrolment) Open ended   Numeric
whz0 Weight for Height Z score (calculated at enrolment) Open ended   Numeric
outcome3_0 Enrollment outcome: all use either MUAC or WHZ for FU criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_1 Month 1 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_2 Month 2 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_3 Month 3 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    defaults on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_4 Month 4 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_5 Month 5 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
outcome3_6 Month 6 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    Lost to follow-up (LTFU) 5  
animalcontactsheep Participant has contact with sheep     Numeric
    No 0  
    Yes 1  
waterothersources Uses multiple water sources     Numeric
    No 0  
    Yes 1  
soap_all Soap availability     Numeric
    No soap available 0  
    Soap available 1  
wealth_quartiles Wealth quartile     String
    Wealth quartile 1 Q1  
    Wealth quartile 2 Q2  
    Wealth quartile 3 Q3  
    Wealth quartile 4 Q4  
wealth_ses Wealth SES quartiles     Numeric
    Highest 1  
    Second highest 2  
    Second lowest 3  
    Lowest 4  
water_jmp Water source     Numeric
    limited and unimproved 1  
    Basic access 0  
sanitation_jmp Sanitation facility     Numeric
    limited and unimproved 1  
    Basic access 0  
outcome3_cumbi6 Cumulative incidence of relapse to acute malnutrition between 0-6 months     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  

SSD Wash Regression dataset

The ‘ssd_wash_regression dataset is structured for South Sudan glm analysis.

Variable Name Variable Label Answer Label Answer Code Variable Type
id_unique Study ID unique across all 3 countries Open ended   Numeric
clinic Clinic name     Numeric
    Dialakasso 1  
    Diamou 2  
    Dramane 3  
    Kayes Ndi 4  
    Koniakary 5  
    Lafiabougou 6  
    Logo-Saboussiro 7  
    Plateau 8  
    Segala 9  
    Kahda 10  
    Gabat 11  
    Malualbaai 12  
    Malualkon 13  
    Wanjok 14  
    Warawar 15  
    Yargot 16  
    Sadiola 17  
female Is participant female?     Numeric
    no 0  
    yes 1  
enrollcritmet3 Enrollment criteria met: all above MUAC (middle upper arm circumference) and WHZ (weight for height Z score) critieria     Numeric
    no 0  
    yes 1  
agecat0 Age category at enrolment     Numeric
    < 6m 0  
    6-12m 1  
    12-18m 2  
    18-24m 3  
    24-36m 4  
    36-59m 5  
haz0 Height for Age Z score (calculated at enrolment) Open ended   Numeric
waz0 Weight for Age Z score (calculated at enrolment) Open ended   Numeric
whz0 Weight for Height Z score (calculated at enrolment) Open ended   Numeric
outcome3_0 Enrollment outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_1 Month 1 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_2 Month 2 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_3 Month 3 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_4 Month 4 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_5 Month 5 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not mal 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_6 Month 6 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished (not mal) 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_cumbi1 Cumulative incidence of relapse to acute malnutrition between 0-1 months     Numeric
    Sustained 0  
    Every mal 1  
    lost to follow up (LTFU) .  
outcome3_cumbi2 Cumulative incidence of relapse to acute malnutrition between 0-2 months     Numeric
    Sustained 0  
    Ever malnourished 1  
    lost to follow up (LTFU) .  
outcome3_cumbi3 Cumulative incidence of relapse to acute malnutrition between 0-3 months     Numeric
    Sustained 0  
    Ever malnourished 1  
    lost to follow up (LTFU) .  
outcome3_cumbi4 Cumulative incidence of relapse to acute malnutrition between 0-4 months     Numeric
    Sustained 0  
    Ever malnourished 1  
    lost to follow up (LTFU) .  
outcome3_cumbi5 Cumulative incidence of relapse to acute malnutrition between 0-5 months     Numeric
    Sustained 0  
    Ever malnourished 1  
    lost to follow up (LTFU) .  
outcome3_cumbi6 Cumulative incidence of relapse to acute malnutrition between 0-6 months     Numeric
    Sustained 0  
    Ever malnourished 1  
    lost to follow up (LTFU) .  
animalcontactcattle Participant has contact with cattle     Numeric
    No 0  
    Yes 1  
animalfaeces Animal faeces in compound     Numeric
    No 0  
    Yes 1  
sanitation_jmp Sanitation with JMP definitions     Numeric
    Limited 0  
    Unimproved 1  
    Open defecation 2  
wealth_ses Wealth SES quartiles     Numeric
    Highest 1  
    Second highest 2  
    Second lowest 3  
    Lowest 4  
water_jmp Water source with JMP definition     Numeric
    basic 0  
    limited 1  
    unimproved and surface 2  

Somalia Wash Regression dataset

The ‘somalia_wash_regression’ dataset is structured for Somalia glm analysis.

Variable Name Variable Label Answer Label Answer Code Variable Type
id_unique Study ID unique across all 3 countries Open ended   Numeric
clinic Clinic name     Numeric
    Dialakasso 1  
    Diamou 2  
    Dramane 3  
    Kayes Ndi 4  
    Koniakary 5  
    Lafiabougou 6  
    Logo-Saboussiro 7  
    Plateau 8  
    Segala 9  
    Kahda 10  
    Gabat 11  
    Malualbaai 12  
    Malualkon 13  
    Wanjok 14  
    Warawar 15  
    Yargot 16  
    Sadiola 17  
female Is participant female?     Numeric
    no 0  
    yes 1  
enrollcritmet3 Enrollment criteria met: all above MUAC and WHZ critieria     Numeric
    no 0  
    yes 1  
agecat0 Age category     Numeric
    < 6m 0  
    6-12m 1  
    12-18m 2  
    18-24m 3  
    24-36m 4  
    36-59m 5  
haz0 Height for Age Z score (calculated at enrolment) Open ended   Numeric
waz0 Weight for Age Z score (calculated at enrolment) Open ended   Numeric
whz0 Weight for Height Z score (calculated at enrolment) Open ended   Numeric
outcome3_0 Enrollment outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_1 Month 1 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_2 Month 2 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_3 Month 3 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_4 Month 4 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_5 Month 5 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
outcome3_6 Month 6 outcome: all use either MUAC (middle upper arm circumference) or WHZ (weight for height Z score) for follow up criteria     Numeric
    not malnourished 0  
    moderate acute malnutrition (mam) 1  
    severe acute malnutrition (sam) 2  
    default on treatment for malnutrition 3  
    death 4  
    lost to follow up (LTFU) 5  
wealth_quartiles Enrol surv: Wealth quintiles for component 1     Numeric
    Wealth quintile 1 0  
    Wealth quintile 2 1  
    Wealth quintile 3 2  
    Wealth quintile 4 3  
outcome3_cumbi6 Cumulative incidence of relapse to acute malnutrition between 0-6 months     Numeric
    Not mal 0  
    moderate acute malnutrition (mam) 1