Faculty of Health Sciences, Department of Nursing and Podiatry, University of Malaga, Málaga, Spain.
Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA platform BIONAND, Málaga, Spain.
BMC Musculoskelet Disord. 2024 Jan 12;25(1):52. doi: 10.1186/s12891-023-07144-9.
Foot pain has been associated to factors like: fat, body mass index, age increased, female gender and the presence of pathologies. Although evidence is limited. The purpose is to determine the predictive factors for foot pain in the adult population.
From January to December 2021, 457 patients were > 18 years, gave signed informed consent to take part to this cross sectional study. All completed demographic data and various questionnaires related to pain: Foot Function Index, EuroQoL-5D and Visual Analogue Scale (foot pain). Anthropometric measurements were obtained using McPoil platform and foot posture was assessed by the Foot Posture Index (FPI). To determine whether a volume change is a predictive factor for foot pain, a parameter was established: the volumetric index for footwear (VIF). Factors linked to the presence of pain, including the considered VIF variables, were analyzed through multivariable logistic regression.
Among the study population, 40.7% were male and 59.3% female. The mean age of 39.06 years and a body mass index of 25.58 Kg/cm. The logistic regression model had a classification capability of 72.4%, a sensitivity of 72.3% and a specificity of 73%, in which, the predictors considered were the variables found to have a significant association with FFI-pain > 45 points,, showed that younger women, with a higher BMI, higher values of right FPI (pronation), poorer overall perceived health and with problems in walking were more likely to experience foot pain.
Predictive factors for foot pain in the adult population include gender, age, Body Mass Index, FPI on the right foot, perceived health and mobility. Clinical implication, the presented measure aids physicians in assessing their patients´ foot pain likelihood.
足部疼痛与以下因素有关：肥胖、体重指数、年龄增长、女性性别和存在病变。尽管证据有限，但目的是确定成年人足部疼痛的预测因素。
2021 年 1 月至 12 月，457 名年龄大于 18 岁的患者签署知情同意书参加了这项横断面研究。所有患者均完成了人口统计学数据和各种与疼痛相关的问卷：足部功能指数、欧洲五维健康量表和视觉模拟量表（足部疼痛）。使用 McPoil 平台获得人体测量数据，并使用足部姿势指数（FPI）评估足部姿势。为了确定体积变化是否是足部疼痛的预测因素，建立了一个参数：鞋类体积指数（VIF）。通过多变量逻辑回归分析与疼痛存在相关的因素，包括考虑的 VIF 变量。
在研究人群中，40.7%为男性，59.3%为女性。平均年龄为 39.06 岁，体重指数为 25.58 Kg/cm。逻辑回归模型的分类能力为 72.4%，敏感性为 72.3%，特异性为 73%，其中，考虑的预测因子是与 FFI-pain > 45 分有显著关联的变量，表明年轻女性、BMI 较高、右脚 FPI（旋前）值较高、整体健康感知较差以及行走问题的患者更有可能出现足部疼痛。
成年人足部疼痛的预测因素包括性别、年龄、体重指数、右脚 FPI、整体健康感知和活动能力。临床意义，提出的测量方法有助于医生评估患者足部疼痛的可能性。
