Prevalence and risk factor analysis of lower extremity abnormal alignment characteristics among XXXX farmers.

@entity1 @entity1746 @entity6250 @entity85 @entity579 @entity893 @entity130
BACKGROUND: @entity579 farming activities involve prolonged manual work and @entity1 -machine interaction. Prolonged farming risk-exposure may result in @entity6250 . This @entity893 may increase the risk of @entity130 and physical disabilities. However, the prevalence and factors associated with @entity1746 have not yet been reported. This study aimed to investigate the prevalence and risk factors of @entity1746 among @entity579 farmers. METHODS: A cross-sectional survey was conducted with 249 @entity579 farmers. Lower extremity alignment assessment included: pelvic tilt angle, limb length equality, femoral torsion, quadriceps (Q) angle, tibiofemoral angle, genu recurvatum, rearfoot angle, and medial longitudinal arch angle. Descriptive statistics were used to analyze @entity1 characteristics and prevalence of @entity1746 . Logistic regression analysis was used to identify risk factors. RESULTS: The highest prevalence of @entity1746 was foot pronation (36.14%), followed by the abnormal Q angle (34.94%), tibiofemoral angle (31.73%), pelvic tilt angle (30.52%), femoral antetorsion (28.11%), limb length inequality (22.49%), tibial torsion (21.29%), and genu recurvatum (11.24%). In females, the risk factors were abnormal Q angle, tibiofemoral angle, and genu recurvatum. Being overweight was a risk factor for abnormal pelvic tilt angle, Q angle, and tibiofemoral angle. Age was a risk factor for limb length inequality. Years of farming were a major risk factor for abnormal Q angle, tibiofemoral angle, and @entity893 . CONCLUSION: Prevalence of @entity1746 was reported in this study. Female sex, being overweight, and years of farming were major risk factors for @entity1746 . Lower extremity screening should assist in the identification of foot and knee @entity893 in @entity579 farmers. This may then lead to early prevention of @entity85 arising from such @entity893 .
