adhdR_0
ADHD diagnosis assessed within one year of childbirth (>0 year and <1 year)...
Description
- Format
binary
- N repeats
21
Harmonisation status per Cohort
Overview of the harmonisation status per Cohort...
- Completed
- Partial
- No data
About statuses
BIB | CHOP | ELFE | ELSPAC | INMA | MoBa | NINFEA | |
|---|---|---|---|---|---|---|---|
adhdR_0 | unmapped | unmapped | unmapped | complete | unmapped | complete | unmapped |
adhdR_1 | complete | unmapped | complete | complete | unmapped | unmapped | unmapped |
adhdR_2 | unmapped | unmapped | complete | complete | unmapped | unmapped | unmapped |
adhdR_3 | complete | unmapped | complete | unmapped | complete | unmapped | unmapped |
adhdR_4 | complete | unmapped | complete | complete | complete | unmapped | unmapped |
adhdR_5 | complete | unmapped | complete | unmapped | complete | partial | unmapped |
adhdR_6 | complete | complete | complete | complete | complete | unmapped | unmapped |
adhdR_7 | complete | complete | unmapped | complete | complete | unmapped | unmapped |
adhdR_8 | complete | complete | unmapped | unmapped | complete | unmapped | unmapped |
adhdR_9 | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped |
adhdR_10 | unmapped | unmapped | unmapped | complete | complete | unmapped | complete |
adhdR_11 | unmapped | unmapped | unmapped | unmapped | complete | unmapped | unmapped |
adhdR_12 | unmapped | unmapped | unmapped | complete | complete | unmapped | unmapped |
adhdR_13 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_14 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped |
adhdR_15 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_16 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_17 | unmapped | unmapped | unmapped | complete | unmapped | unmapped | unmapped |
adhdR_18 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_19 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_20 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
adhdR_21 | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped | unmapped |
Harmonisation details per Cohort
Select a Cohort to see the details of the harmonisation...
- Name
- adhdR_0
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_1
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 1. 'adhdR_1' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="1",c("ChildID", "age", "ICD10")]
var$adhdR_1 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_1==1, c("ChildID", "adhdR_1")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_2
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_3
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 3. 'adhdR_3' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="3",c("ChildID", "age", "ICD10")]
var$adhdR_3 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_3==1, c("ChildID", "age", "adhdR_3")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_4
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 4. 'adhdR_4' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="4",c("ChildID", "age", "ICD10")]
var$adhdR_4 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_4==1, c("ChildID", "age", "adhdR_4")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_5
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 5. 'adhdR_5' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="5",c("ChildID", "age", "ICD10")]
var$adhdR_5 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_5==1, c("ChildID", "age", "adhdR_5")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_6
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 6. 'adhdR_6' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="6",c("ChildID", "age", "ICD10")]
var$adhdR_6 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_6==1, c("ChildID", "age", "adhdR_6")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_7
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes(F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 7. 'adhdR_7' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="7",c("ChildID", "age", "ICD10")]
var$adhdR_7 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_7==1, c("ChildID", "age", "adhdR_7")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_8
- Harmonisation status
- Completed
- Description
- ADHD ICD10 codes (F90, F90.9) were used to select for children who have a doctor diagnosis of ADHD. Children were selected if they were aged 8. 'adhdR_8' = 1 if the ICD10 code was not missing and NA otherwise. As children could have been diagnosed more than once in a year, unique cases were selected.
- Variables used
- Syntax
var <- subset(gprec, subset = gprec$ICD10 %in% c("F90", "F909"))
var$ChildID <- var$X.U.FEFF.ChildID
var$AgeInYears[var$AgeInYears=="NULL"] <- NA
var$age <- as.character(var$AgeInYears)
var <- var[var$age=="8",c("ChildID", "age", "ICD10")]
var$adhdR_8 <- as.factor(ifelse(!is.na(var$ICD10), 1, NA))
var <- var[var$adhdR_8==1, c("ChildID", "age", "adhdR_8")]
var2 <- unique(var)
var3 <- bibloadr::get_bibloadr_data(varlist = "admincgender", level = "child")
var <- merge(var3, var2, by="ChildID", all.x=T)- Name
- adhdR_9
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_10
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_11
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_12
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_13
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_14
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_15
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_16
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_17
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_18
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_19
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_20
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None
- Name
- adhdR_21
- Harmonisation status
- No data
- Description
- None
- Variables used
- None
- Syntax
- None