Several foot deformities have been identified in Malaysian women due to wearing shoes which do not fit the size and shape of their feet. Hallux valgus (bunions), corn, cellules and ingrown toenail are among the common deformities experienced by Malaysian women. The root of this issue is that the Malaysian footwear market has adopted foreign shoe size standards such as those from the US and UK. This means that Malaysian women face difficulties in obtaining correctly-sized shoes. Therefore, the aim of this study is to develop and propose a standard shoe sizing system for women in Malaysia based on anthropometric measurements of Malaysian women’s foot sizes and shapes. Women from Malaysia’s primary ethnic groups (Malay, Chinese, and Indian) aged 20 to 60 years old participated in this project, where the anthropometric measurements for their foot size and shapes were obtained using a 3D foot scanner. Regression analysis in the form of Generalized Linear Model (GLM) was performed to determine the association between a few attributes including foot measurements and the existence of the foot deformities. Foot length and Ball girth circumference have significant association with the foot deformities (FL: p = .028 and BG: p = .045). The new standard shoe sizing system has been developed ith more accurate sizes and shapes, it is hoped that the foot deformities problem could be solved or at least reduced the foot pain.
Abdominal obesity is an important contributor for health risk factors such as hypertension, diabetes mellitus and hypercholesterolemia. Therefore, the application of a proper method is important prerequisite in performing abdominal obesity assessment. In this study, we applied 3D body scanning technology to measure waist circumference (WC), hip circumference (HC) and waist to hip ratio (WHR) precisely in an effort to improve the current health assessment for abdominal obesity. A total of 200 Malaysian women with sedentary lifestyle, aged between 18 and 60 years participated in this study. Paired t-test was used to determine the differences between the automated (3D body scanner) and manual measurements of WC, HC and WHR. 3D body scanner measurements show that 27% of subjects had mild abdominal obesity (80 - 90 cm) and 34.5% of subjects had severe abdominal obesity (≥90 cm) based on WC cutoff points. Based on WHR cutoff points, 57% of subjects had abdominal obesity (≥0.85) while the remaining were without abdominal obesity (<0.85). Lower percentages of abdominal obesity prevalence were reported for both WC and WHR categories using manual measurements. We also found that in normal BMI category, 8.5% of subjects have mild abdominal obesity based on automated measurements while only 5.5% of subjects were identified on manual measurements. The result of this study indicated that 3D body scanner provided better assessment method as it enables detection of abdominal obesity in more subjects based on WC and WHR categories. Public agencies are encouraged to consider the application of 3D body scanning in health assessment of abdominal obesity.