**Early life adversity jointly regulates Body-Mass Index and Working memory development**
**Data, code and materials**
This project made use of the Early Childhood Longitudinal Study, Kindergarten Class of 2010–11 (ECLS-K:2011). To access the raw data file, that is necessary to start the pipeline, visit the study website (https://nces.ed.gov/ecls/kindergarten2011.asp) and follow the appropriate steps.
**Data**
We provide the pre-processed data file (Data/ecls_ind.csv), that is sufficient to reproduce fully, all analyses reported in the manuscript.
**Code**
All code is in R. A brief description of each script is provided below, in the recommended order of execution.
1. ECLS_preprocess.R retrieves the relevant variables from the raw ECLS dataset, and performs pre-processing, such as recoding scores and missing values.
2. ECLS_missing_ind.R performs some missing value diagnostics and creates composite scores, and some further pre-processing.
3. ECLS_missingngess.R performs the missing data analysis, to identify the missing data mechanisms.
4. ECLS_initchecks_survey.R fits and compares unconstrained growth curve models on BMI and Working memory scores to identify the relevant function form of the growth curves for the main analysis.
5. ECLS_suppl.R creates most supplementary tables and figures, such as summary statistics, histograms and bivariate correlation plots.
6. ECLS_suppl_indicators.R provides summary statistics for the adversity indicators.
7. ECLS_wm_bmi_survey.R and ECLS_wm_bmi_survey_listwise.R fit the main latent growth curve models, using FIML or listwise deletion to handle remaining missing values, respectively.
8. impl_traj.R is a supplementary script to create the model implied trajectory figure (Figure 1 of the manuscript).
9. change_score_plot.R is a supplementary script to create the WM BMI change score figure (Figure 3 of the manuscript).
10. mood_entropy.R is a helper function that is used to calculate mood entropy
**Supplementary Files**
Rdata files containing the data and model outputs for the main models (both FIML and listwise deletion versions).
