At least NWTC-091 - NWTC-100 are recent participants from past few months, probably included in Zoe’s most recent DC request?

Total WTC exposures

First…Total WTC exposures variable doesn’t always match sum(index_a:index_j); participants have NA for WTCexposure_score but do have a value when index vars are summed.

Full sample

Warning: Removed 10 rows containing non-finite values (stat_bin).

By group

Warning: Removed 10 rows containing non-finite values (stat_bin).

NWTC-031 is the participant in the PTSD group who seems to have 0 exposures. In the data center exposures, they have 0 on all indices except i., which is missing. In their exposure interview, they endorsed at least c. (worked at/near pile) and possibly e. (if it includes encountering/seeing covered bodies recovered by others).

Specific WTC exposures (n = 68)

  1.   Arrived WTC 9/11-13
  2.   Worked in Dust Cloud
  3.   Worked on/adjacent to pit/pile
  4.   Worked greater than median hours
  5.   Exposed to human remains
  6.   Worked in search, rescue, recovery sep-oct
  7.   Know someone who died 9/11
  8.   Know someone injured 9/11
  9.   Injured at WTC
  10.   Slept on-site during Sep-Oct 2001

Percent missing per exposure by group

Group comparisons (NO IMPUTATION)

Exposures

Warning: Removed 10 rows containing non-finite values (stat_boxplot).
Warning: Removed 10 rows containing missing values (geom_point).
Warning: Removed 10 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-006, NWTC-014, NWTC-068, NWTC-083, NWTC-084, NWTC-091, NWTC-092, NWTC-093, NWTC-094, NWTC-100
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: WTCexposure_score
      num Df den Df    MSE     F     ges    Pr(>F)    
group      2     55 2.7197 26.93 0.49476 7.016e-09 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   1.79 0.441 55    0.902     2.67
 Resilient     5.62 0.306 55    5.007     6.23
 PTSD          5.20 0.426 55    4.347     6.05

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - Resilient   -3.835 0.537 55  -7.145  <.0001
 (Low-exposed) - PTSD        -3.414 0.613 55  -5.571  <.0001
 Resilient - PTSD             0.421 0.524 55   0.802  1.0000

P value adjustment: bonferroni method for 3 tests 
Warning: Removed 7 rows containing non-finite values (stat_boxplot).
Warning: Removed 7 rows containing missing values (geom_point).
Warning: Removed 7 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-037, NWTC-068, NWTC-083, NWTC-091, NWTC-092, NWTC-094, NWTC-100
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: index_sum
      num Df den Df    MSE      F     ges    Pr(>F)    
group      2     58 2.4656 33.679 0.53733 1.963e-10 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   1.80 0.405 58    0.988     2.61
 Resilient     5.67 0.287 58    5.093     6.24
 PTSD          5.56 0.393 58    4.777     6.35

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - Resilient   -3.867 0.497 58  -7.787  <.0001
 (Low-exposed) - PTSD        -3.763 0.564 58  -6.667  <.0001
 Resilient - PTSD             0.104 0.486 58   0.214  1.0000

P value adjustment: bonferroni method for 3 tests

Childhood trauma

Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing missing values (geom_point).
Warning: Removed 1 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-025
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_total
      num Df den Df    MSE      F     ges    Pr(>F)    
group      2     64 90.023 10.322 0.24389 0.0001302 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean   SE df lower.CL upper.CL
 Low-exposed   40.5 2.30 64     35.9     45.1
 Resilient     41.4 1.70 64     38.0     44.8
 PTSD          52.7 2.18 64     48.4     57.1

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - Resilient   -0.949 2.86 64  -0.331  1.0000
 (Low-exposed) - PTSD       -12.266 3.17 64  -3.872  0.0008
 Resilient - PTSD           -11.317 2.76 64  -4.094  0.0004

P value adjustment: bonferroni method for 3 tests 
Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing missing values (geom_point).
Warning: Removed 1 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-025
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_emoAbuse
      num Df den Df   MSE      F    ges    Pr(>F)    
group      2     64 9.541 9.6723 0.2321 0.0002136 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   5.82 0.749 64     4.33     7.32
 Resilient     5.77 0.555 64     4.67     6.88
 PTSD          9.47 0.709 64     8.06    10.89

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - Resilient   0.0493 0.932 64   0.053  1.0000
 (Low-exposed) - PTSD       -3.6502 1.031 64  -3.540  0.0023
 Resilient - PTSD           -3.6995 0.900 64  -4.111  0.0003

P value adjustment: bonferroni method for 3 tests 
Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing missing values (geom_point).
Warning: Removed 1 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-025
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_emoNeglect
      num Df den Df    MSE      F     ges    Pr(>F)    
group      2     64 13.102 8.3459 0.20686 0.0006015 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   6.59 0.878 64     4.83     8.34
 Resilient     7.29 0.650 64     5.99     8.59
 PTSD         11.00 0.830 64     9.34    12.66

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - Resilient   -0.702 1.09 64  -0.643  1.0000
 (Low-exposed) - PTSD        -4.412 1.21 64  -3.651  0.0016
 Resilient - PTSD            -3.710 1.05 64  -3.518  0.0024

P value adjustment: bonferroni method for 3 tests 

Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_physAbuse
      num Df den Df   MSE      F     ges    Pr(>F)    
group      2     65 2.309 14.207 0.30417 7.609e-06 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   5.71 0.369 65     4.97     6.44
 Resilient     5.61 0.273 65     5.07     6.16
 PTSD          7.80 0.340 65     7.12     8.48

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - Resilient    0.093 0.459 65   0.203  1.0000
 (Low-exposed) - PTSD        -2.094 0.501 65  -4.178  0.0003
 Resilient - PTSD            -2.187 0.436 65  -5.018  <.0001

P value adjustment: bonferroni method for 3 tests 

Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_physNeglect
      num Df den Df    MSE      F     ges    Pr(>F)    
group      2     65 6.6527 9.9464 0.23433 0.0001704 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   5.65 0.626 65     4.40     6.90
 Resilient     5.48 0.463 65     4.56     6.41
 PTSD          8.60 0.577 65     7.45     9.75

Confidence level used: 0.95 

$contrasts
 contrast                  estimate    SE df t.ratio p.value
 (Low-exposed) - Resilient    0.163 0.778 65   0.210  1.0000
 (Low-exposed) - PTSD        -2.953 0.851 65  -3.471  0.0028
 Resilient - PTSD            -3.116 0.740 65  -4.212  0.0002

P value adjustment: bonferroni method for 3 tests 

Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: CTQ_sexAbuse
      num Df den Df    MSE      F     ges Pr(>F)
group      2     65 17.651 2.2642 0.06513 0.1121
$emmeans
 group       emmean    SE df lower.CL upper.CL
 Low-exposed   5.18 1.019 65     3.14     7.21
 Resilient     5.94 0.755 65     4.43     7.44
 PTSD          7.95 0.939 65     6.07     9.83

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - Resilient   -0.759 1.27 65  -0.599  1.0000
 (Low-exposed) - PTSD        -2.774 1.39 65  -2.001  0.1486
 Resilient - PTSD            -2.015 1.20 65  -1.672  0.2981

P value adjustment: bonferroni method for 3 tests

Lifetime total excluding childhood trauma (non-weighted)

Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-073
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: TLEQ_totalExclCT_nonW
      num Df den Df    MSE      F      ges Pr(>F)
group      2     64 300.83 1.1065 0.033423  0.337
$emmeans
 group       emmean   SE df lower.CL upper.CL
 Low-exposed   5.24 4.21 64   -3.168     13.6
 Resilient    12.77 3.17 64    6.441     19.1
 PTSD          8.15 3.88 64    0.402     15.9

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - Resilient    -7.53 5.27 64  -1.430  0.4724
 (Low-exposed) - PTSD         -2.91 5.72 64  -0.509  1.0000
 Resilient - PTSD              4.62 5.01 64   0.922  1.0000

P value adjustment: bonferroni method for 3 tests 
Warning: Removed 1 rows containing non-finite values (stat_boxplot).
Warning: Removed 1 rows containing missing values (geom_point).

Warning: Missing values for following ID(s):
NWTC-073
Removing those cases from the analysis.
Contrasts set to contr.sum for the following variables: group
Anova Table (Type 3 tests)

Response: TLEQ_totalExclCT_nonW
      num Df den Df    MSE      F      ges Pr(>F)
group      2     64 300.83 1.1065 0.033423  0.337
$emmeans
 group       emmean   SE df lower.CL upper.CL
 Low-exposed   5.24 4.21 64   -3.168     13.6
 Resilient    12.77 3.17 64    6.441     19.1
 PTSD          8.15 3.88 64    0.402     15.9

Confidence level used: 0.95 

$contrasts
 contrast                  estimate   SE df t.ratio p.value
 (Low-exposed) - Resilient    -7.53 5.27 64  -1.430  0.4724
 (Low-exposed) - PTSD         -2.91 5.72 64  -0.509  1.0000
 Resilient - PTSD              4.62 5.01 64   0.922  1.0000

P value adjustment: bonferroni method for 3 tests

Group comparisons (AFTER IMPUTATION)

Exposures

Childhood trauma

Lifetime total excluding childhood trauma (non-weighted)

---
title: "Meeting 03-01-22"
output: 
  html_notebook:
    toc: yes
---


```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
knitr::opts_knit$set(root.dir = "/Volumes/External/WTC_resilience_imaging/analysis/Meeting 02-23-22")
```

```{r, echo=FALSE}
#setup
library(dplyr)
library(mice)
library(glmnet)
library(ggplot2)
library(ggcorrplot)
library(stringr)
library(foreign)
library(stargazer)
library(cowplot)

rm(list = ls())

#load demographic and self-report data for NWTC participants so far 
dsData<-read.csv("StudyMeasures-AgnesNWTCinitialanal_DATA_2022-02-23_1031.csv", strip.white=TRUE, na.strings="")
#load clinician-determined data for NWTC participants so far
clData<-read.csv("ClinicianMeasures-AgnesNWTCclinicalini_DATA_2022-02-23_1033.csv", strip.white=TRUE, na.strings="")
v2Data<-read.csv("CURRENTSubjectEnroll-Visit2CompletersForS_DATA_2022-02-23_1036.csv", strip.white=TRUE, na.strings="")
bids_id<-read.csv("/Volumes/External/WTC_resilience_imaging/ppt_coding_current_noPHI.csv", strip.white=TRUE, na.strings="")

# get specific exposures
# 10 WTC exposure variables are labeled index_a to index_j.
#a.       Arrived WTC 9/11-13
#b.       Worked in Dust Cloud
#c.       Worked on/adjacent to pit/pile
#d.       Worked greater than median hours
#e.       Exposed to human remains
#f.        Worked in search, rescue, recovery sep-oct
#g.       Know someone who died 9/11
#h.       Know someone injured 9/11
#i.         Injured at WTC
#j.         Slept on-site during Sep-Oct 2001

exposures<-read.csv("wtc_mri_study_participants_with_indices.csv", strip.white=TRUE, na.strings="")

####
 
#rename ID variable to match variable in clinician & study measures & drop vars as needed
v2Data <- dplyr::rename(v2Data, record_id = nwtc_id, biomarkers_id = biom_id, extract_id = dc_extractid) 
bids_id <- dplyr::rename(bids_id, record_id = NWTC_ID, bids_id = BIDS_ID) 
bids_id <- dplyr::select(bids_id, c(record_id, bids_id, traditional_responder, handed_L, med_psychoactive_curr))

# remove subjects "TEST" from v2Data, and "NWTC-053 Interval" from dsData
dsData <- dplyr::filter(dsData, !grepl("NWTC-053 Interval Data pre V3",record_id))
v2Data <- dplyr::filter(v2Data, !grepl("TEST",record_id))

#merge together
data1<-merge(clData,dsData,by="record_id")
data<-merge(data1,v2Data,by="record_id") %>% dplyr::filter(fmri_scan == 1) #select only participants who (so far) completed the scan (visit 2)
data<-merge(data,bids_id, by="record_id")

# recode 5-category `group` variable into 3 groups
# 1 = Highly Resilient (1)
# 2 = Symptomatic (PTSD) (2)
# 3 = Low-Exposed Control (3)
# 4 = Intermediate-Low (Resilient) (4)
# 5 = Intermediate-High (Resilient)
data <- data %>% dplyr::mutate(group = recode_factor(group, `3` = 0, `1` = 1, `2` = 2, `4` = 1, `5`=1))

## FIX GROUP
data$group[data$record_id=="NWTC-072"]<-0
data$group[data$record_id=="NWTC-076"]<-0
data$group[data$record_id=="NWTC-032"]<-0
data$group[data$record_id=="NWTC-069"]<-0
data <- data %>% dplyr::mutate(group = recode_factor(group, "0" = "Low-exposed", "1" = "Resilient", "2" = "PTSD"))

# now 0 = low-exposed control, 1 = resilient, 2 = PTSD

####################################################################################################
#-SELF REPORTED TRAUMA HISTORY
#calculate self-reported childhood trauma exposure (CTQ)
ctq<-data[, grep(pattern ='^ctq_.*', names(data))]
ctq[c(2,5,7,13,19,26,28)]<-lapply(ctq[c(2,5,7,13,19,26,28)], FUN=function(x) #reverse coded items
                           recode(x,'1'=5,'2'=4,'3'=3,'3.5'=3,'4'=2,'5'=1))
data$CTQ_emoAbuse<-rowSums(ctq[c(3,8,14,18,25)])
data$CTQ_physAbuse<-rowSums(ctq[c(9,11,12,15,17)])
data$CTQ_sexAbuse<-rowSums(ctq[c(20,21,23,24,27)])
data$CTQ_emoNeglect<-rowSums(ctq[c(5,7,13,19,28)])  
data$CTQ_physNeglect<-rowSums(ctq[c(1,2,4,6,26)])
data$CTQ_total<-rowSums(ctq)

colnames(ctq)<-paste0('use.', names(ctq))
data<-cbind(data, ctq)

#calculate self-reported lifetime traumatic events (TLEQ)
#1. For participants who aren't from the biomarkers so have full TLEQ:
#frequency weighted scores:
tleq<-data[data$biomarkers_completer==0, grep(pattern ='^tleq_.*', names(data))]
tleq<-tleq[c(1:23)] #trim +3m data
data$TLEQ_total[data$biomarkers_completer==0]<-rowSums(tleq[1:23])
#excluding childhood aged trauma items (for combination with CTQ scores)
tleq[c(12,13,15,16,17)]<-0 #these items on the tleq ask about physical/sexual abuse <18years of age
data$TLEQ_totalExclCT[data$biomarkers_completer==0]<-rowSums(tleq[1:23])
#non-frequency weighted scores:
tleq<-data[data$biomarkers_completer==0, grep(pattern ='^tleq_.*', names(data))]
tleq<-tleq[c(1:23)] #trim +3m data
tleq[,]<-lapply(tleq[,], FUN=function(x) 
         recode(x,'0'=0,'1'=1,'2'=1,'3'=1)) #binarise
data$TLEQ_total_nonW[data$biomarkers_completer==0]<-rowSums(tleq[1:23])
data$TLEQ_sexualViolencePost18_nonW[data$biomarkers_completer==0]<-tleq$tleq_18
tleq[c(12,13,15,16,17)]<-0 #these items on the tleq ask about physical/sexual abuse <18years of age
data$TLEQ_totalExclCT_nonW[data$biomarkers_completer==0]<-rowSums(tleq[1:23])

#2. For participants who were from the biomarkers study need to first extract to
#old TLEQ values from biomarkers database file:
bioMdata<-read.spss("/Volumes/External/WTC_resilience_imaging/data/clinical_data/ref_data/merged_biomarkers_6nov2019_CLEAN_1.sav", to.data.frame=TRUE, max.value.labels=1)
tleqBio<-bioMdata[,grep(pattern ='^tleq.*', names(bioMdata))]
tleqBio<-tleqBio[c(8,11,14,18,21,24,27,30,33,36,39,42,45,48,51,54,57,60,63,66,69,72,75)] #only freq items
#now merge these values into the NWTC dataset using WTC datacenter 'extractIDs'
colnames(tleqBio)<-paste("bioMdata", colnames(tleqBio), sep = "_") #change column names to allow distinction from existing TLEQs
tleqBio$biomarkers_id<-bioMdata$subjectid #add NWTC sub numbers to allow merging
data<-merge(data, tleqBio, by="biomarkers_id", all.x=TRUE)
#then attempt to add new (since biomarkers) scores to biomarkers scores:
tleqBio<-data[data$biomarkers_completer==1, grep(pattern ='^bioMdata_tleq.*', names(data))]
tleqSinceBio<-data[data$biomarkers_completer==1, grep(pattern ='^tleq_bio_.*', names(data))]
tleqBioTotal<-tleqBio + tleqSinceBio
#for frequency weighted scores:
tleqBioTotal[,]<-lapply(tleqBioTotal[,], FUN=function(x) 
                 recode(x,'0'=0,'1'=1,'2'=2,'3'=3,'4'=3,'5'=3,'6'=3)) #stop any individual item maxing out (>3)
data$TLEQ_total[data$biomarkers_completer==1]<-rowSums(tleqBioTotal[1:23]) #NB can't completely accurately merge categories so these scores may represent an overestimate in biomarkers ppts
tleqBioTotal[c(12,13,15,16,17)]<-0 #these items on the tleq ask about physical/sexual abuse <18years of age
data$TLEQ_totalExclCT[data$biomarkers_completer==1]<-rowSums(tleqBioTotal[1:23])
#for non frequency weighted scores:
tleqBioTotal<-tleqBio + tleqSinceBio
tleqBioTotal[,]<-lapply(tleqBioTotal[,], FUN=function(x) 
                  recode(x,'0'=0,'1'=1,'2'=1,'3'=1,'4'=1,'5'=1,'6'=1)) #binarise
data$TLEQ_total_nonW[data$biomarkers_completer==1]<-rowSums(tleqBioTotal[1:23]) #nonWeighted scores should be accurate though :-)
data$TLEQ_sexualViolencePost18_nonW[data$biomarkers_completer==1]<-tleqBioTotal$bioMdata_tleq18_touch18noconsent
tleqBioTotal[c(12,13,15,16,17)]<-0 #these items on the tleq ask about physical/sexual abuse <18years of age
data$TLEQ_totalExclCT_nonW[data$biomarkers_completer==1]<-rowSums(tleqBioTotal[1:23])


#retrieve number of WTC-specific traumatic exposures (from WTC datacenter data)
dataCdata<-read.spss("/Volumes/External/WTC_resilience_imaging/data/clinical_data/ref_data/merged_screening_data_for_NI.sav", to.data.frame=TRUE)
tmp<-data.frame(matrix(ncol=2,nrow=nrow(dataCdata)))
colnames(tmp)<-c("extract_id","WTCexposure_score")
tmp$extract_id<-dataCdata$extractid
tmp$WTCexposure_score<-dataCdata$traumatic_exposure_index
data<-merge(data, tmp, by="extract_id", all.x=TRUE)

## manually input the exposure scores for people who didn't have them in the file
#data$WTCexposure_score[data$record_id=="NWTC-034"]<-2 #this sub not in ds, no fmri
#data$WTCexposure_score[data$record_id=="NWTC-068"]<-4
#data$WTCexposure_score[data$record_id=="NWTC-073"]<-5
#data$WTCexposure_score[data$record_id=="NWTC-074"]<-4
#data$WTCexposure_score[data$record_id=="NWTC-076"]<-3
#data$WTCexposure_score[data$record_id=="NWTC-078"]<-4
#data$WTCexposure_score[data$record_id=="NWTC-083"]<-2
#hack for ppt who seems under-scored based on their interview for this study:
#data$WTCexposure_score[data$record_id=='NWTC-031']<-3

# don't have these:
#NWTC-084
#NWTC-094
#NWTC-093
#NWTC-091


## manually input traditional responder status for people missing
data$traditional_responder[data$record_id=="NWTC-093"]<-1
data$traditional_responder[data$record_id=="NWTC-094"]<-0
data$traditional_responder[data$record_id=="NWTC-060"]<-0
# don't have NWTC-091


####################################################################################################
#-CLINICAN-RATED PSYCHOPATHOLOGY
#calculate clinician-rated PTSD symptom severity (CAPS-5 past month interview)
#score according to Rob Pietrzck's 7 symptom dimensions, which provided the
#best fit to the data in two indepedent samples of diverse trauma-exposed individuals,
#see Armour et al. 2015:
#https://www.sciencedirect.com/science/article/pii/S0022395614003185)
data$CAPS5_PM_total<-data$ptsd_tot_sev_past_month
#B. intrusion (re-experiencing) symptoms
caps_b<-data[, grep(pattern ='^b.*._past_month', names(data))]
data$CAPS5_PM_reExp<-rowSums(caps_b)
#C. avoidance symptoms
caps_c<-data[, grep(pattern ='^c.*._past_month', names(data))]
data$CAPS5_PM_avoid<-rowSums(caps_c)
#D. cognition and mood symptoms [Rob subdivides into negative affect and anhedonia]
caps_d<-data[, grep(pattern ='^d.*._past_month', names(data))]
data$CAPS5_PM_negAff<-rowSums(caps_d[1:4])
data$CAPS5_PM_anhed<-rowSums(caps_d[5:7])
#E. arousal and reactivity symptoms [Rob subdivides into externalizing
#behaviour, anxious arousal, and dysphoric arousal]
caps_e<-data[, grep(pattern ='^e.*._past_month', names(data))]
data$CAPS5_PM_extBeh<-rowSums(caps_e[1:2])
data$CAPS5_PM_anxArou<-rowSums(caps_e[3:4])
data$CAPS5_PM_dysArou<-rowSums(caps_e[5:6])

#currentother psychiatric diagnoses endorsed (according to SCID-V interview)
data$mdd_current[is.na(data$mdd_current)]<-0 #major depressive disorder
data$pdd_current[is.na(data$pdd_current)]<-0 #persistent dysthymic disorder
data$panic_current[is.na(data$panic_current)]<-0 #panic disorder
data$gad_current[is.na(data$gad_current)]<-0 #generalized anxiety disorder

## manually input traditional responder status for people missing
data$traditional_responder[data$record_id=="NWTC-093"]<-1
data$traditional_responder[data$record_id=="NWTC-094"]<-0
data$traditional_responder[data$record_id=="NWTC-060"]<-0
# don't have NWTC-091







# subset data for current analyses
hist_data <- data %>% dplyr::select(
  record_id,
  group,
  bids_id,
  mdd_current,
  pdd_current,
  gad_current,
  panic_current,
  CAPS5_PM_total,
  CTQ_emoNeglect,
  CTQ_physNeglect,
  CTQ_emoAbuse,
  CTQ_physAbuse,
  CTQ_sexAbuse,
  CTQ_total,
  TLEQ_totalExclCT_nonW,
  TLEQ_sexualViolencePost18_nonW,
  WTCexposure_score,
  traditional_responder) %>% dplyr::mutate(mdd_current = as.factor(mdd_current),
                                           pdd_current = as.factor(pdd_current),
                                           gad_current = as.factor(gad_current),
                                           panic_current = as.factor(panic_current),
                                           traditional_responder = as.factor(traditional_responder),
                                           group = recode_factor(group, "0" = "Low-exposed", "1" = "Resilient", "2" = "PTSD"))




```

```{r}
## merge in specific exposures
exposures <- exposures %>% dplyr::rename(record_id = nwtc_id)# %>% mutate_each(funs(factor), starts_with("index"))

hist_data <- left_join(hist_data, exposures, by="record_id")
hist_data <- hist_data %>% mutate(TLEQ_sexualViolencePost18_nonW = as.integer(TLEQ_sexualViolencePost18_nonW),
                                  TLEQ_totalExclCT_nonW = as.integer(TLEQ_totalExclCT_nonW))

hist_data <- hist_data %>% mutate("index_sum" = rowSums((hist_data[,19:28]), na.rm = TRUE))
hist_data %>% select(record_id,index_a:index_j) %>% filter(rowSums(is.na(.)) >= 3) # check who has >=3 items missing
# manually fix exposure score to NA vs. 0
hist_data$index_sum[hist_data$record_id=="NWTC-037"]<-NA
hist_data$index_sum[hist_data$record_id=="NWTC-068"]<-NA
hist_data$index_sum[hist_data$record_id=="NWTC-083"]<-NA
hist_data$index_sum[hist_data$record_id=="NWTC-091"]<-NA #new, need DC data
hist_data$index_sum[hist_data$record_id=="NWTC-092"]<-NA #new, need DC data
hist_data$index_sum[hist_data$record_id=="NWTC-094"]<-NA #new, need DC data
hist_data$index_sum[hist_data$record_id=="NWTC-100"]<-NA #new, need DC data


```
At least NWTC-091 - NWTC-100 are recent participants from past few months, probably included in Zoe's most recent DC request?


### Total WTC exposures

First...Total WTC exposures variable doesn't always match `sum(index_a:index_j)`; participants have NA for `WTCexposure_score` but do have a value when index vars are summed.

```{r}
hist_data %>% select(record_id,group,WTCexposure_score,index_sum) %>% mutate("match" = ifelse(WTCexposure_score == index_sum, 1, 0))
```


#### Full sample
```{r}
ggplot(hist_data, aes(WTCexposure_score)) + 
       geom_histogram(bins=20, colour='black',size=.5, fill="darkviolet") +
    xlab("WTC exposures") + theme_bw() + scale_x_continuous(breaks = seq(0, 10, by = 1))

exp <- hist_data %>% 
  count(group,WTCexposure_score, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

exp

```

#### By group
```{r}

ggplot(hist_data, aes(WTCexposure_score, fill=group)) +  geom_histogram(colour='black',size=.5, alpha=.5, bins=10, position = "identity") +
  scale_fill_discrete(labels = c("Low-exposed", "Resilient", "PTSD")) + scale_x_continuous(breaks = seq(0, 10, by = 1))
```
NWTC-031 is the participant in the PTSD group who seems to have 0 exposures. In the data center exposures, they have 0 on all indices except **i.**, which is missing. In their exposure interview, they endorsed at least **c.** (worked at/near pile) and possibly **e.** (if it includes encountering/seeing covered bodies recovered by others). 



### Specific WTC exposures (n = 68)

```{r}

## mutate back to factors for index* vars

hist_data_tmp <- hist_data %>% mutate_each(funs(factor), starts_with("index"))

index_a <- hist_data_tmp %>% count(group,index_a, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_a<-ggplot(index_a, aes(group,pct, fill=index_a)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_b <- hist_data_tmp %>% count(group,index_b, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_b<-ggplot(index_b, aes(group,pct, fill=index_b)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_c <- hist_data_tmp %>% count(group,index_c, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_c<-ggplot(index_c, aes(group,pct, fill=index_c)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_d <- hist_data_tmp %>% count(group,index_d, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_d<-ggplot(index_d, aes(group,pct, fill=index_d)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_e <- hist_data_tmp %>% count(group,index_e, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_e<-ggplot(index_e, aes(group,pct, fill=index_e)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_f <- hist_data_tmp %>% count(group,index_f, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_f<-ggplot(index_f, aes(group,pct, fill=index_f)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_g <- hist_data_tmp %>% count(group,index_g, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_g<-ggplot(index_g, aes(group,pct, fill=index_g)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_h <- hist_data_tmp %>% count(group,index_h, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_h<-ggplot(index_h, aes(group,pct, fill=index_h)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())


index_i <- hist_data_tmp %>% count(group,index_i, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_i<-ggplot(index_i, aes(group,pct, fill=index_i)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank())

index_j <- hist_data_tmp %>% count(group,index_j, name="n") %>%
    group_by(group) %>%
    mutate(pct= round(n / sum(n),2))  %>%
    ungroup()

p_j<-ggplot(index_j, aes(group,pct, fill=index_j)) +
   geom_bar(position="stack", stat="identity", color="black") + scale_fill_discrete(labels = c("No", "Yes", "Missing")) +
  theme(axis.title.x=element_blank()) 

```


>a.       Arrived WTC 9/11-13
b.       Worked in Dust Cloud
c.       Worked on/adjacent to pit/pile
d.       Worked greater than median hours
e.       Exposed to human remains
f.       Worked in search, rescue, recovery sep-oct
g.       Know someone who died 9/11
h.       Know someone injured 9/11
i.       Injured at WTC
j.       Slept on-site during Sep-Oct 2001

```{r fig.height=4}
 plot_grid(p_a, p_b, p_c, p_d, p_e, p_f, p_g, p_h, p_i, p_j, labels = "AUTO", #greedy=TRUE, 
           scale=1, ncol=2, nrow=5)
```
##### Percent missing per exposure by group

```{r}
index_a %>% dplyr::filter(is.na(index_a))
index_b %>% dplyr::filter(is.na(index_b))
index_c %>% dplyr::filter(is.na(index_c))
index_d %>% dplyr::filter(is.na(index_d))
index_e %>% dplyr::filter(is.na(index_e))
index_f %>% dplyr::filter(is.na(index_f))
index_g %>% dplyr::filter(is.na(index_g))
index_h %>% dplyr::filter(is.na(index_h))
index_i %>% dplyr::filter(is.na(index_i))
index_j %>% dplyr::filter(is.na(index_j))
```


## Group comparisons (NO IMPUTATION)


### Exposures
```{r}

library(afex)
library(emmeans)
afex_options(emmeans_model = "multivariate")


# RM-ANOVA
ggplot(hist_data, aes(color=group, y=WTCexposure_score, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "WTCexposure_score", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# RM-ANOVA
ggplot(hist_data, aes(color=group, y=index_sum, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "index_sum", hist_data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")
```

### Childhood trauma

```{r}

# total
ggplot(hist_data, aes(color=group, y=CTQ_total, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_total", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# emotional abuse
ggplot(hist_data, aes(color=group, y=CTQ_emoAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_emoAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# emotional neglect
ggplot(hist_data, aes(color=group, y=CTQ_emoNeglect, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_emoNeglect", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# physical abuse
ggplot(hist_data, aes(color=group, y=CTQ_physAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_physAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# physical neglect
ggplot(hist_data, aes(color=group, y=CTQ_physNeglect, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_physNeglect", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# sexual abuse
ggplot(hist_data, aes(color=group, y=CTQ_sexAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_sexAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

```

### Lifetime total excluding childhood trauma (non-weighted)
```{r}

## Lifetime (without childhood trauma)
ggplot(hist_data, aes(color=group, y=TLEQ_totalExclCT_nonW, x=group)) + 
       geom_boxplot() + geom_point(alpha=.25) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "TLEQ_totalExclCT_nonW", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")



## Sexual violence >18 y/o
ggplot(hist_data, aes(color=group, y=TLEQ_sexualViolencePost18_nonW, x=group)) + 
       geom_boxplot() + geom_point(alpha=.25) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "TLEQ_totalExclCT_nonW", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

```


## Group comparisons (AFTER IMPUTATION)

```{r}
#impute missing data: 
tmp<-mice(data,m=5,maxit=50,meth='pmm',seed=500)
data2<-complete(tmp,1)

```

### Exposures
```{r}

library(afex)
library(emmeans)
afex_options(emmeans_model = "multivariate")


# RM-ANOVA
q1<-aov_ez(id = "record_id", dv = "WTCexposure_score", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# RM-ANOVA
q1<-aov_ez(id = "record_id", dv = "index_sum", hist_data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")
```

### Childhood trauma

```{r}
# emotional abuse
ggplot(hist_data, aes(color=group, y=CTQ_emoAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_emoAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# emotional neglect
ggplot(hist_data, aes(color=group, y=CTQ_emoNeglect, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_emoNeglect", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# physical abuse
ggplot(hist_data, aes(color=group, y=CTQ_physAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_physAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# physical neglect
ggplot(hist_data, aes(color=group, y=CTQ_physNeglect, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_physNeglect", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

# sexual abuse
ggplot(hist_data, aes(color=group, y=CTQ_sexAbuse, x=group)) + 
       geom_boxplot() + geom_point() +  geom_jitter(width = 0.01, height=.01) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "CTQ_sexAbuse", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

```

### Lifetime total excluding childhood trauma (non-weighted)
```{r}

## Lifetime (without childhood trauma)
ggplot(hist_data, aes(color=group, y=TLEQ_totalExclCT_nonW, x=group)) + 
       geom_boxplot() + geom_point(alpha=.25) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "TLEQ_totalExclCT_nonW", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")



## Sexual violence >18 y/o
ggplot(hist_data, aes(color=group, y=TLEQ_sexualViolencePost18_nonW, x=group)) + 
       geom_boxplot() + geom_point(alpha=.25) + xlab("Group")
q1<-aov_ez(id = "record_id", dv = "TLEQ_totalExclCT_nonW", data, between="group")
summary(q1)
# pairwise comparisons:
emmeans(q1, ~group, contr = "pairwise", adjust="bonferroni")

```

