adhd_raw_0

ADHD, total raw score assessed within one year of childbirth (>0 year and <1 year)

ADHD, total raw score assessed within one year of childbirth (>0 year and <1 year)...

Description

For DISC-IV/DSM, combine all items rated on a 4-point scale (0 = never or rarely, 1 = sometimes, 2 = often, or 3 = very often). The variable is fully harmonized if the score is based on all required items of the respective instrument. In case of sco

Format: continuous
N repeats: 21

Harmonisation status per Cohort

Overview of the harmonisation status per Cohort

Overview of the harmonisation status per Cohort...

Completed
Partial
No data

	ALSPAC	CHOP	DNBC	EDEN	ELFE	ELSPAC	GenR	INMA	MoBa	NFBC1986	NINFEA	PELAGIE	RAINE	RHEA
adhd_raw_0	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_1	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	partial	unmapped	unmapped	partial	unmapped	unmapped
adhd_raw_2	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	partial	unmapped	unmapped
adhd_raw_3	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	partial	unmapped	unmapped	partial	unmapped	complete
adhd_raw_4	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	complete
adhd_raw_5	complete	complete	unmapped	complete	complete	complete	unmapped	complete	partial	unmapped	unmapped	complete	complete	complete
adhd_raw_6	complete	unmapped	unmapped	complete	complete	complete	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped
adhd_raw_7	complete	unmapped	complete	complete	unmapped	complete	complete	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped
adhd_raw_8	complete	unmapped	complete	complete	unmapped	complete	complete	complete	complete	unmapped	unmapped	complete	complete	unmapped
adhd_raw_9	complete	unmapped	unmapped	unmapped	unmapped	complete	complete	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_10	complete	complete	unmapped	unmapped	unmapped	complete	complete	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped
adhd_raw_11	complete	complete	complete	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped
adhd_raw_12	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped
adhd_raw_13	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	complete	complete	complete	unmapped
adhd_raw_14	complete	unmapped	complete	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	complete	unmapped	unmapped
adhd_raw_15	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped
adhd_raw_16	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	complete	unmapped	unmapped	complete	unmapped
adhd_raw_17	complete	unmapped	unmapped	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_18	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_19	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_20	unmapped	unmapped	complete	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped
adhd_raw_21	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped	unmapped

Harmonisation details per Cohort

Select a Cohort to see the details of the harmonisation

Select a Cohort to see the details of the harmonisation...

ALSPAC

CHOP

DNBC

EDEN

ELFE

ELSPAC

GenR

INMA

MoBa

NFBC1986

NINFEA

PELAGIE

RAINE

RHEA

Name: adhd_raw_0
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_1
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_2
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_3
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_4
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_5
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_6
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_7
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_8
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_9
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_10
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_11
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_12
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_13
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_14
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_15
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_16
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_17
Harmonisation status: Completed
Description: Reverse-scored items correctly coded prior to harmonisation. Harmonisation works in three steps: (i) variable lists are created of the variables contributing to the score at each questionnaire age, (ii) a total score is derived from these variables, (iii) the "exactAge" function is used to recode the intermediate questionnaire score to correct age bands based on the exact age of the child at assessment.
Variables used: tc4001
kq334
ta7009
ku700
tc4009
tc4024
tc4014
kq340
j550
n8354
j544
j531
n8364
n8341
j539
ku694
ku689
j554
ku681
ta7020
kq344
ta7024
ta7001
ku704
tc4020
n8360
kq329
kq321
n8349
ta7014
Syntax

## Create variable lists
sdq_adhd_j.vars <- c("j531", "j539", "j544", "j550", "j554")
sdq_adhd_kq.vars <- c("kq321", "kq329", "kq334", "kq340", "kq344")
sdq_adhd_n.vars <- c("n8341", "n8349", "n8354", "n8360", "n8364")
sdq_adhd_ku.vars <- c("ku681", "ku689", "ku694", "ku700", "ku704")
sdq_adhd_kw.vars <- c("kw6501", "kw6509", "kw6514", "kw6520", "kw6524")
sdq_adhd_ta.vars <- c("ta7001", "ta7009", "ta7014", "ta7020", "ta7024")
sdq_adhd_tc.vars <- c("tc4001", "tc4009", "tc4014", "tc4020", "tc4024")

## Calculate based on average questionnaire age
wp6_high.data %<>%
  mutate(
    adhd_raw_j = rowSums(.[, sdq_adhd_j.vars], na.rm = FALSE),
    adhd_raw_kq = rowSums(.[, sdq_adhd_kq.vars], na.rm = FALSE),
    adhd_raw_n = rowSums(.[, sdq_adhd_n.vars], na.rm = FALSE),
    adhd_raw_ku = rowSums(.[, sdq_adhd_ku.vars], na.rm = FALSE),
    adhd_raw_kw = rowSums(.[, sdq_adhd_kw.vars], na.rm = FALSE),
    adhd_raw_ta = rowSums(.[, sdq_adhd_ta.vars], na.rm = FALSE),
    adhd_raw_tc = rowSums(.[, sdq_adhd_tc.vars], na.rm = FALSE))

## Convert to correct age bands
wp6_high.data <- exactAge(
    data = wp6_high.data, lc_prefix = "adhd_raw", quest = "both", sep = "_", 
    grouping = "age", order = "ascending", create_blank = FALSE,
    wp6_age_out = TRUE)

Name: adhd_raw_18
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_19
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_20
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None

Name: adhd_raw_21
Harmonisation status: No data
Description: None
Variables used: None
Syntax: None