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Childhood Ultra-Marathon Runner Study Jan 2020

Is there harm done to the body when children run ultramarathons?

@kaggle.aiaiaidavid_childhood_ultramarathon_runner_study_jan_2020

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About this Dataset

Childhood Ultra-Marathon Runner Study Jan 2020

Context

The aim of the project to which this dataset belongs to is answering the question “Is there harm done to the body when children run ultra-marathons?” by looking at the current health status and activity levels of those who ran ultra-marathons during childhood (under the age of 19) and are now adults. 

Content

Three files are available:

[1] UM_questionnaire.docx
This file describes the methodology of data capture and the full questionnaire with all possible answers.

[2] Childhood Ultramarathon Runner Study_January 18, 2020_16.50.csv
This file includes the answers to the questioonaire from participants in the data collection campaign conducted in January 2020. The file is in a raw format, as generated by the survey application.

[3] Childhood Ultramarathon Runner Study v0.92.csv
This is a pre-processed version of file [2] used in my analysis notebook.

Acknowledgements

Acknowledgements go to Dr. Volker Scheer who directed the study and kindly agreed to make the data public.

Tables

Childhood Ultramarathon Runner Study V0–92

@kaggle.aiaiaidavid_childhood_ultramarathon_runner_study_jan_2020.childhood_ultramarathon_runner_study_v0_92
  • 168.53 KB
  • 78 rows
  • 213 columns
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CREATE TABLE childhood_ultramarathon_runner_study_v0_92 (
  "unique_id" VARCHAR,
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "gender" VARCHAR,
  "current_age" BIGINT,
  "current_height" DOUBLE,
  "current_weight" DOUBLE,
  "height_at_25" DOUBLE,
  "weight_at_25" DOUBLE,
  "birth_place" VARCHAR,
  "ethnic_origin" VARCHAR,
  "marital_status" VARCHAR,
  "nbr_bio_children" BIGINT,
  "highest_education" VARCHAR,
  "working_status" VARCHAR,
  "avg_work_hours_pw_last_12_months" DOUBLE,
  "occupation" VARCHAR,
  "retire_year" DOUBLE,
  "smoked_100_in_life" VARCHAR,
  "age_1st_smoke" DOUBLE,
  "currently_smoking" VARCHAR,
  "years_since_stop_smoking" DOUBLE,
  "n_12_drinks_in_any_one_year" VARCHAR,
  "n_12_drinks_in_entire_life" VARCHAR,
  "drink_days_pw_last_12_months" DOUBLE,
  "heavy_drinking_days_last_12_months" BIGINT,
  "diet" VARCHAR,
  "age_1st_um" BIGINT,
  "distance_1st_um" BIGINT,
  "nbr_um_before_19" BIGINT,
  "nbr_um_50km_before_19" BIGINT,
  "nbr_um_80km_before_19" BIGINT,
  "nbr_um_100km_before_19" BIGINT,
  "nbr_um_160km_before_19" BIGINT,
  "nbr_um_over_160km_before_19" BIGINT,
  "um_train_times_pw_before_19" BIGINT,
  "um_train_hours_pw_before_19" BIGINT,
  "um_train_distance_pw_before_19" BIGINT,
  "um_train_asphalt_before_19" BIGINT,
  "um_train_trail_before_19" BIGINT,
  "um_train_track_before_19" BIGINT,
  "um_train_treadmill_before_19" BIGINT,
  "um_train_other_before_19" BIGINT,
  "reasons_um_my_idea" DOUBLE,
  "reasons_um_run_with_parents" DOUBLE,
  "reasons_um_run_with_friends" DOUBLE,
  "reasons_um_run_with_family_other" DOUBLE,
  "reasons_um_parents_encouraged_me" DOUBLE,
  "reasons_um_how_far_can_i_go" DOUBLE,
  "reasons_um_coach_encouraged_me" DOUBLE,
  "reasons_um_for_the_challenge" DOUBLE,
  "suffered_um_injuries_under_19" VARCHAR,
  "um_injury_knee_pain" DOUBLE,
  "um_injury_ankle_tendinopathy" DOUBLE,
  "um_injury_achilles_tendinopathy" DOUBLE,
  "um_injury_hip_flexor_strain" DOUBLE,
  "um_injury_iliotibial_band_issue" DOUBLE,
  "um_injury_foot_stress_fracture" DOUBLE,
  "um_injury_tibia_stress_fracture" DOUBLE,
  "um_injury_calf_strain" DOUBLE,
  "um_injury_ankle_sprain" DOUBLE,
  "um_injury_hamstring_strain" DOUBLE,
  "um_injury_plantar_fasciitis" DOUBLE,
  "um_injury_medial_tibial_stress_syndrome" DOUBLE,
  "um_injury_compartment_syndrome" DOUBLE,
  "um_injury_morton_neuroma" DOUBLE,
  "um_injury_bursitis" DOUBLE,
  "um_injury_missed_training_before_19" VARCHAR,
  "um_training_affected_academic_perf_before_19" VARCHAR,
  "other_sp_baseball" BIGINT,
  "other_sp_basketball" BIGINT,
  "other_sp_cross_country_running" BIGINT,
  "other_sp_golf" BIGINT,
  "other_sp_tennis" BIGINT,
  "other_sp_soccer" BIGINT,
  "other_sp_football" BIGINT,
  "other_sp_track_and_field" BIGINT,
  "other_sp_swimming" BIGINT,
  "other_sp_skiing" BIGINT,
  "other_sp_volleyball" BIGINT,
  "other_sp_others" BIGINT,
  "um_training_affected_other_sports_perf_under_19" VARCHAR,
  "running_after_19" VARCHAR,
  "competitions_5km_after_19" BIGINT,
  "competitions_10km_after_19" BIGINT,
  "competitions_22km_after_19" BIGINT,
  "competitions_44km_after_19" BIGINT,
  "competitions_50km_after_19" BIGINT,
  "competitions_70km_after_19" BIGINT,
  "competitions_100km_after_19" BIGINT,
  "competitions_160km_after_19" BIGINT,
  "competitions_over_160km_after_19" BIGINT,
  "year_most_recent_marathon" DOUBLE,
  "distance_most_recent_marathon" DOUBLE,
  "intend_to_run_another_um" VARCHAR,
  "run_times_pw_last_12_months" DOUBLE,
  "run_hours_pw_last_12_months" DOUBLE,
  "run_distance_pw_last_12_months" DOUBLE,
  "run_asphalt_last_12_months" DOUBLE,
  "run_trail_last_12_months" DOUBLE
);

Childhood Ultramarathon Runner Study January 18–2020–16–50

@kaggle.aiaiaidavid_childhood_ultramarathon_runner_study_jan_2020.childhood_ultramarathon_runner_study_january_18_2020_16_50
  • 427.93 KB
  • 112 rows
  • 426 columns
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CREATE TABLE childhood_ultramarathon_runner_study_january_18_2020_16_50 (
  "startdate" VARCHAR,
  "enddate" VARCHAR,
  "status" VARCHAR,
  "ipaddress" VARCHAR,
  "progress" VARCHAR,
  "duration_in_seconds" VARCHAR,
  "finished" VARCHAR,
  "recordeddate" VARCHAR,
  "responseid" VARCHAR,
  "recipientlastname" VARCHAR,
  "recipientfirstname" VARCHAR,
  "recipientemail" VARCHAR,
  "externalreference" VARCHAR,
  "locationlatitude" VARCHAR,
  "locationlongitude" VARCHAR,
  "distributionchannel" VARCHAR,
  "userlanguage" VARCHAR,
  "intro_1" VARCHAR,
  "intro_1_2" VARCHAR,
  "d1" VARCHAR,
  "d2_1" VARCHAR,
  "d3" VARCHAR,
  "d3_1_text" VARCHAR,
  "d3_2_text" VARCHAR,
  "d4" VARCHAR,
  "d4_1_text" VARCHAR,
  "d4_2_text" VARCHAR,
  "d5" VARCHAR,
  "d5_1_text" VARCHAR,
  "d5_2_text" VARCHAR,
  "d6" VARCHAR,
  "d6_1_text" VARCHAR,
  "d6_2_text" VARCHAR,
  "d7" VARCHAR,
  "d7_9_text" VARCHAR,
  "d8" VARCHAR,
  "d8_6_text" VARCHAR,
  "d9" VARCHAR,
  "d9_1" VARCHAR,
  "d10_1" VARCHAR,
  "d11" VARCHAR,
  "d12" VARCHAR,
  "d12_8_text" VARCHAR,
  "d12_1_1" VARCHAR,
  "d13" VARCHAR,
  "d13_26_text" VARCHAR,
  "d12_2" VARCHAR,
  "h1" VARCHAR,
  "h1_1" VARCHAR,
  "h1_1_1_text" VARCHAR,
  "h1_2" VARCHAR,
  "h1_3_1" VARCHAR,
  "h1_4" VARCHAR,
  "h1_4_2_text" VARCHAR,
  "h1_5_1" VARCHAR,
  "h1_6" VARCHAR,
  "h1_7" VARCHAR,
  "h1_7_1_text" VARCHAR,
  "h1_7_2_text" VARCHAR,
  "h1_7_3_text" VARCHAR,
  "h1_7_4_text" VARCHAR,
  "h2" VARCHAR,
  "h2_1" VARCHAR,
  "h2_2" VARCHAR,
  "h2_2_1_text" VARCHAR,
  "h2_3_1" VARCHAR,
  "h2_4_1" VARCHAR,
  "h3" VARCHAR,
  "h3_6_text" VARCHAR,
  "c1" VARCHAR,
  "c2" VARCHAR,
  "c2_6_text" VARCHAR,
  "c3" VARCHAR,
  "c4_30" VARCHAR,
  "c4_31" VARCHAR,
  "c4_32" VARCHAR,
  "c4_33" VARCHAR,
  "c4_34" VARCHAR,
  "c4_40" VARCHAR,
  "c4_40_text" VARCHAR,
  "c5" VARCHAR,
  "c6" VARCHAR,
  "c7" VARCHAR,
  "c7_1_text" VARCHAR,
  "c7_2_text" VARCHAR,
  "c8_1" VARCHAR,
  "c8_2" VARCHAR,
  "c8_3" VARCHAR,
  "c8_4" VARCHAR,
  "c8_5" VARCHAR,
  "c8_5_text" VARCHAR,
  "c9" VARCHAR,
  "c9_7_text" VARCHAR,
  "c10" VARCHAR,
  "c10_1" VARCHAR,
  "c10_1_6_text" VARCHAR,
  "c10_2" VARCHAR,
  "c11" VARCHAR,
  "oc1" VARCHAR,
  "oc1_1" VARCHAR
);

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