diff --git a/config.yaml b/config.yaml
index f14e3bfd..6a267081 100644
--- a/config.yaml
+++ b/config.yaml
@@ -634,5 +634,6 @@ PARAMS_FOR_ANALYSIS:
                 results-survey358134_final.csv,  # Belgium 1
                 results-survey413767_final.csv  # Belgium 2
     ]
+    QUESTION_LIST: survey637813+question_text.csv
     FEATURES: [age, gender, startlanguage]
     CATEGORICAL_FEATURES: [gender]
diff --git a/rules/models.smk b/rules/models.smk
index 94df273a..92b4a935 100644
--- a/rules/models.smk
+++ b/rules/models.smk
@@ -20,7 +20,8 @@ rule baseline_features:
         "data/raw/{pid}/participant_baseline_raw.csv"
     params:
         pid="{pid}",
-        features=config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["FEATURES"]
+        features=config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["FEATURES"],
+        question_filename=config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["FOLDER"] + "/" + config["PARAMS_FOR_ANALYSIS"]["BASELINE"]["QUESTION_LIST"]
     output:
         "data/processed/features/{pid}/baseline_features.csv"
     script:
diff --git a/src/data/baseline_features.py b/src/data/baseline_features.py
index 599dab4c..4978e122 100644
--- a/src/data/baseline_features.py
+++ b/src/data/baseline_features.py
@@ -3,6 +3,13 @@ import pandas as pd
 pid = snakemake.params["pid"]
 requested_features = snakemake.params["features"]
 baseline_features = pd.DataFrame(columns=requested_features)
+question_filename = snakemake.params["question_filename"]
+
+dict_JCQ_demand_control_reverse = {
+    "demand_0": " [Od mene se ne zahteva,",
+    "demand_1": " [Imam dovolj časa, da končam",
+    "demand_2": " [Pri svojem delu se ne srečujem s konfliktnimi"
+}
 
 participant_info = pd.read_csv(snakemake.input[0], parse_dates=["date_of_birth"])
 if not participant_info.empty:
@@ -17,6 +24,14 @@ if not participant_info.empty:
         baseline_features.loc[0, "startlanguage"] = participant_info.loc[
             0, "startlanguage"
         ]
+    if "demand" in requested_features:
+        limesurvey_questions = pd.read_csv(question_filename, header=None).T
+        limesurvey_questions[["code", "text"]] = limesurvey_questions[0].str.split(r"\.\s", expand=True, n=1)
+        demand_reverse_lime_rows = limesurvey_questions["text"].str.startswith(dict_JCQ_demand_control_reverse["demand_0"]) | \
+                                   limesurvey_questions["text"].str.startswith(dict_JCQ_demand_control_reverse["demand_1"]) | \
+                                   limesurvey_questions["text"].str.startswith(dict_JCQ_demand_control_reverse["demand_2"])
+        demand_reverse_lime = limesurvey_questions[demand_reverse_lime_rows]
+        demand_reverse_lime.loc[:, "qid"] = demand_reverse_lime["code"].str.extract(r"\[(\d+)\]")
 
 baseline_features.to_csv(
     snakemake.output[0], index=False, encoding="utf-8",