Factor analysis. A methodology for data reduction in nerve conduction studies.

Abstract:

:Analyzing multiple nerve conduction study parameters individually is statistically problematic. The goal of this study was to develop a useful factor analysis scheme for assessment of nerve conduction study abnormalities in diabetic neuropathy. Hypotheses were: (1) factor analysis produces a few physiologically meaningful factors, (2) there are associations between factors and markers of diabetic severity and (3) clinical impressions are related to factor scores. We studied 165 Japanese-American men: 52 nondiabetic, 66 diabetic and 47 with impaired glucose tolerance. One author (W.C.S.) obtained 28 nerve conduction study parameters in all subjects and factor analysis extracted five factors from these parameters. These factors were related to conduction velocities (factor 1), distal ulnar function (factor 2), sensory amplitudes (factor 3), distal median function (factor 4) and distal peroneal function (factor 5); together, they explain 57% of the variability in the total data. Diabetic factor scores were significantly (P less than 0.05) below that of the controls and correlations with fasting blood sugar were significant at the P less than or equal to 0.001 level. Use of this technique promises to permit sensible analysis of large amounts of data in clinical studies of diabetic and other types of polyneuropathy.

journal_name

Am J Phys Med Rehabil

authors

Robinson LR,Rubner DE,Wahl PW,Fujimoto WY,Stolov WC

subject

Has Abstract

pub_date

1992-02-01 00:00:00

pages

22-7

issue

1

eissn

0894-9115

issn

1537-7385

journal_volume

71

pub_type

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