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.本数据集整合了关于孟加拉国女子板球运动员的多维度详实信息，旨在探究其训练规律、身体机能指标与情绪状态同睡眠健康之间的关联机制。所有数据均采集于2024-2025赛季。针对每位运动员，数据集包含其基础人口统计学信息（年龄、参赛年限）、训练详情（每日训练时长及赛事级别，涵盖从地方到国际赛事）以及身体测量数据（身高、体重、身体质量指数（BMI））。 为捕捉运动员当下的情绪状态，受试者通过0至4分的评分量表对32种情绪（从“精力充沛”到“思绪混乱”）进行评分；研究团队还将这些评分整合为常见的情绪维度，包括愤怒、疲劳、活力与平静。在睡眠健康维度，问卷包含17个针对性问题（例如入睡困难、夜间觉醒、日间嗜睡等），采用1至5分进行评分，最终将各项得分汇总为整体睡眠障碍指数。 通过将运动员的训练时长与强度、睡眠质量与睡眠充足度，以及情绪状态三者进行关联分析，本数据集为以下研究问题提供了数据支撑： 高强度训练日是否预示着夜间睡眠质量下降或疲劳程度骤增？ 参赛经验更丰富的运动员是否更能维持规律的睡眠节律？ 哪些情绪模式（例如平静度低下、紧张度偏高）能够预示运动员存在慢性睡眠问题的风险？ 本数据集的记录清晰规整，可直接用于统计分析或可视化呈现，能够帮助教练、运动心理学家与健康从业者及早识别睡眠健康风险，并定制个性化睡眠支持方案，助力精英运动员发挥最佳竞技水平。