The Way We Stand: A Sequential Case Study on Foot Angle Dataset

Background: This study quantifies the significance of foot angle as it relates to common biometric data to assess its use in the clinical realm.
Research Question:
What is the average foot angle of 73 orthopedic patients in a case study, and what is the relationship between foot angle and 10 surveyed biometric data points (age, weight, height, biological makeup, shoe size, orthotic use, physical activity level, competitive sports history, lower extremity injury history, and reason for visiting doctor)?
Methods: The study’s duration was December 9, 2021, to April 7, 2022 at the Arizona Institute of Motion. Participants were informed of measurement steps and the purpose of the study and had the option to decline participation. Participants were asked to walk down a hallway as a distraction to collect the most accurate data to the participants’ stance. Participants filled out a 10-question survey of biometric data. Correlational calculations and linear regressions were performed to support or reject the existence of a relationship between foot angle and biometric data.
Results:
The average left foot angle was 26.35 degrees, and the average right foot angle was 26.54 degrees. A strong positive correlation was found between left and right foot angles. The optimized linear regression model had an adjusted r² value of 0.549 for left foot angle against right foot angle, shoe size, and height, and an adjusted r² value of 0.522 for right foot angle against left foot angle, shoe size, and height. Foot angle had no other relationships with the other biometric data and had limited numerical significance.
Significance:
Additional study is required to confirm its numerical importance, but foot angle may continue to be used in clinical settings in conjunction with gait analysis and qualitative assessments for musculoskeletal function. Foot angle is most useful to supplement qualitative data.
Notes on dataset: The data used in this study was processed using Python 3 systems. Data includes linear regression models, correlational heat maps, and other graphs. An Excel Spreadsheet is also provided to view raw subject data, both biometric and qualitative, collected from the 10-question survey.

背景：本研究量化了足部角度与常见生物特征数据的相关性，以评估其在临床领域的应用价值。
研究问题：
在本案例研究中，73名骨科患者的平均足部角度是多少？足部角度与10项调查的生物特征数据点（年龄、体重、身高、生物构成、鞋码、矫形器使用、身体活动水平、竞技体育历史、下肢受伤历史以及就诊原因）之间存在何种关系？
方法：研究时间为2021年12月9日至2022年4月7日，在亚利桑那运动研究所进行。参与者被告知测量步骤和研究目的，并有选择退出参与的权利。参与者被要求在走廊上行走以分散注意力，以收集最准确的数据以反映其站立姿势。参与者完成了一份包含10个问题的生物特征数据调查问卷。进行了相关性计算和线性回归分析，以支持或拒绝足部角度与生物特征数据之间关系的存在。
结果：
平均左足角度为26.35度，平均右足角度为26.54度。左右足部角度之间存在强烈的正相关关系。优化的线性回归模型在左足角度与右足角度、鞋码和身高之间具有调整后的r²值为0.549，在右足角度与左足角度、鞋码和身高之间具有调整后的r²值为0.522。足部角度与其它生物特征数据没有其他关系，且其数值意义有限。
意义：
需要进一步的研究来确认其数值重要性，但足部角度可能继续在临床环境中与步态分析和定性评估相结合，以评估肌肉骨骼功能。足部角度最适用于补充定性数据。
数据集备注：本研究中使用的数据是在Python 3系统上处理的。数据包括线性回归模型、相关性热图以及其他图表。还提供了一个Excel电子表格，用于查看从10个问题的调查问卷中收集的原始受试者数据，包括生物特征和定性数据。