The goal of this study was to identify risk factors for diabetic peripheral
sensory neuropathy in type 2 diabetes mellitus in a Chinese population. Pe
ripheral sensory neuropathy was detected by quantitative sensory testing (5
.07/10 g monofilament, neurometer and 128-Hz Riedel Seiffert graduated tuni
ng fork). Those who had two or more abnormal quantitative sensory testings
were defined as having diabetic sensory neuropathy. Of the 558 non-insulin
dependent diabetes mellitits subjects, 62 (11.1 %) had peripheral neuropath
y. In 59 (10.6%) detection was by monofilament testing, 45 (8.1%) by gradua
ted tuning fork, and 189 (33.9%) by neurometer. In a multivariate logistic
regression model, age and insulin therapy were significantly associated wit
h peripheral neuropathy,Age, Serum triglyceride, height, and fasting plasma
glucose were independently associated with large fiber neuropathy. Our res
ults confirm the previously identifed multiple risk factors of diabetic neu
ropathy. Different quantitative sensory testings detect different nerve fib
er defects. The weak correlation between these tears indicates the need to
use more than one test in screening for diabetic neuropathy.