Sleep Disorder Analysis of Bangladeshi Female Cricketers using Sleep_ASBQ

This dataset brings together a rich set of information on Bangladeshi female cricketers to explore how their training routines, physical stats, and emotional states tie into sleep health. All the data were collected at 2024-25 session. For each athlete, you’ll find basic demographics (age, years of playing), training details (daily practice hours and level from local to international), and body measurements (height, weight, BMI).
To capture mood at the moment, participants rated 32 feelings (from “Active” to “Muddled”) on a 0–4 scale; we also distilled these into familiar mood dimensions like Anger, Fatigue, Vigor, and Calmness. On the sleep side, 17 targeted questions (e.g. trouble falling asleep, waking at night, daytime drowsiness) are scored 1–5, then summed into an overall sleep‐disorder index.
By linking how long and intensely these athletes train with how well and how restfully—they sleep, plus how they feel emotionally, this dataset opens doors to questions like:
Do high‐intensity training days predict restless nights or spikes in fatigue?
Are more experienced players better at maintaining steady sleep schedules?
Which mood patterns (e.g. low calmness, high tension) flag athletes at risk for chronic sleep problems?
Ready for statistical analysis or simple visualization, these clean, structured records can guide coaches, sports psychologists, and health professionals in spotting trouble early—and tailoring sleep‐support strategies that help elite athletes perform at their best.