DIVE-PL

A reproducible AI tool-chain methodology for building survey research studies.

Case study — the DIVE-PL diving survey

DIVE-PL is demonstrated on a real, registered study: a cross-sectional online survey of recreational divers in Poland. This page describes the instrument the framework produced.

Aim

To assess health status, physical fitness, and safety/training knowledge in relation to the occurrence of diving-related adverse events among recreational divers in Poland.

Specific objectives: estimate cardiorespiratory fitness (VO2max) from a non-exercise questionnaire; assess knowledge of decompression sickness (DCS), barotrauma and safe-diving rules; determine the frequency of DCS/barotrauma symptoms; identify risky behaviours; and test associations between training level, fitness, health and adverse events.

Design

Cross-sectional, observational, non-interventional, anonymous online questionnaire (about 12–18 minutes). No clinical procedures or biological sampling; minimal risk.

Population

Adults (≥18 years) resident in Poland who completed at least one dive in the past 24 months.

Instrument sections

SectionContent
Demographicsage, sex, height/weight (BMI), residence
Diving exposure & trainingcertification level (OWD / AOWD / higher), number of dives, years of experience, organisation
Health statuschronic conditions, medications, contraindications
Physical fitnessphysical-activity rating (PA-R) for VO2max estimation
Safety knowledgeDCS, barotrauma and safe-diving rules — tested at three difficulty levels
Risky behaviourssmoking, alcohol before diving, diving beyond certification
Adverse eventsself-reported DCS / barotrauma symptoms and diving incidents

Fitness estimation

VO2max is estimated with the University of Houston Non-Exercise Test from PA-R, age, BMI and sex — a low-cost, scalable proxy used here in a diving population.

Hypotheses

Endpoint & analysis

Primary endpoint: the proportion of divers reporting at least one diving-related adverse event. Associations with certification level, estimated VO2max, BMI and other factors are analysed using multivariable logistic regression.

Ethics & registration

Approved by the Bioethics Committee, Medical University of Białystok (protocol APK.002.228.2026). Registered on ClinicalTrials.gov (NCT number pending). GDPR/RODO-compliant and fully anonymous; no participant data are published here.

Validity caveat. VO2max is estimated, not measured. Prior fitness–adverse-event evidence used directly measured VO2max; testing the proxy is part of the study. See Limitations.