Skip to main content
Journal of Diabetes Investigation logoLink to Journal of Diabetes Investigation
. 2017 Apr 25;9(1):179–185. doi: 10.1111/jdi.12649

Do we underestimate influences of diabetic mononeuropathy or polyneuropathy on hand functional performance and life quality?

Chien‐Ju Yang 1, Hsiu‐Yun Hsu 2,3, Chieh‐Hsiang Lu 4, Yen‐Li Chao 3, Haw‐Yen Chiu 5, Li‐Chieh Kuo 1,3,6,
PMCID: PMC5754520  PMID: 28267271

Abstract

Aims/Introduction

The purpose of the present study was to identify whether there are differences in hand dexterity, hand functional performance and quality of life between diabetes patients with mononeuropathy and polyneuropathy of their hands to further present the importance regarding the impacts of diabetic neuropathic deficits on patients’ functional capacity.

Materials and Methods

The neurological deficits of 127 patients with type 2 diabetes were examined by electrophysiological tests for the median and ulnar nerves, and were stratified into the diabetic mononeuropathy, diabetic polyneuropathy and non‐diabetic neuropathy groups by sensory amplitude of these nerves. The Purdue pegboard test, Michigan Hand Outcomes Questionnaire, and Diabetes‐39 were carried out to understand patients’ hand dexterity, functional hand performance and quality of life, respectively.

Results

The results showed significant differences in all subtests of the Purdue pegboard test among the three groups. Furthermore, aesthetics, patient's satisfaction of the Michigan Hand Outcomes Questionnaire and diabetes control, sexual functioning, energy, and mobility of the Diabetes‐39 also showed significant differences among the three groups.

Conclusions

The present study shows the patients with polyneuropathy suffer from more negative impacts on hand functional performance and quality of life than those with mononeuropathy and without neuropathy. These findings might assist both patients and clinicians in better realizing the impacts of neuropathic hands, and planning suitable strategies of intervention or health education to prevent declines in hand functions.

Keywords: Hand function, Hand neuropathy, Quality of life

Introduction

Diabetes mellitus, a comprehensive and heterogeneous disease characterized by a condition of hyperglycemia, usually results in numerous complications. One of the most common complications is neuropathy1, 2, 3, which is estimated to have a 5–80% prevalence rate among diabetes patients4. As the number of diabetes patients has increased rapidly in recent years, and the accompanying complications can seriously disturb daily routines and quality of life, both patients and medical professions have noted that this easily neglected, but difficult to detect, condition regarding functional hand disabilities might be induced by diabetic neuropathies5.

Some previous works have shown that dexterity, which is one of the important hand functions for carrying out therapeutic and daily tasks, is easily affected and consequently influences patients’ hand functional performances and quality of life in the process of diabetes mellitus6, 7, 8. These studies showed how neuropathic hands can disturb the functional hand performance and quality of life of diabetes patients, with negative effects on carrying out therapeutic procedures and daily tasks, even with only slight neuropathic deficits of the hands5, 9. A recent study showed that hyperglycemia and disease chronicity significantly impact the sensorimotor control of the hand, and also the sensory and motor nerve conduction studies10. The median nerve is well known as one of the critical nerves that contribute to various hand manipulation functions. The prevalence of median neuropathy among diabetes patients has been reported to be approximately 58–82%, based on an electrophysiological study11. Electrophysiological measurements can be used to show abnormalities of nerve functioning in the hand, especially with regard to the sensory amplitude of nerve conduction12, 13, 14. The consequences of abnormal sensory functioning of the nerve system as a result of the involvement of an impaired median nerve, ulnar nerve or both, might gradually contribute to different severities of neuropathic signs and symptoms, finally developing as mononeuropathy or polyneuropathy15, 16.

However, the issue of whether mononeuropathy or polyneuropathy of the hand might have different influences on hand functional capacity remains unclear, and thus more evidence is required to show the impacts of these conditions on functional hand performance and quality of life5, 8, 17. The aim of the present study was therefore to identify whether diabetic mononeuropathy or polyneuropathy might have different impacts on the hand functional performance and quality of life of diabetes mellitus patients, using functional measurements. We hypothesized that diabetic mononeuropathy or polyneuropathy can influence patients’ functional hand performance and quality of life to a certain extent, and thus patients with diabetic polyneuropathy might have worse hand functions and quality of life than those without neuropathy or with mononeuropathy.

Methods

Participants

A total of 127 patients were enrolled from the Outpatient Department of Metabolism and Endocrinology in Chia‐Yi Christian Hospital, Chia‐Yi, Taiwan. The inclusion criteria for the patients were as follows: (i) diagnosed as diabetes mellitus type 2 based on the 1997 criteria of the American Diabetes Association; and (ii) aged >18 years, either male or female. The exclusion criteria were as follows: (i) other hand disorders or pathologies, such as muscular, vascular, inflammatory diseases and chronic alcoholism, which might influence hand functions; (ii) damaged central or peripheral nerve; for example, traumatic brain injury, stroke, Parkinson's or Alzheimer's disease, psychiatric syndromes and brachial plexus injury; (iii) previous musculoskeletal or neurological diseases of the hand, such as trigger finger or carpal tunnel syndrome, before diabetes mellitus onset; (iv) prior history of hand surgery; and (v) primary symptoms of pain over the hand and upper limbs.

This study received ethical approval from the institutional review board at Ditmanson Medical Foundation, Chia‐Yi Christian Hospital. All patients were fully informed about the protocol used in this study, and signed informed consent forms before their participation.

The median and ulnar nerves are the crucial nerves in the upper extremities, and are involved in most hand manipulation functions. When one or both of these nerves is damaged, then this is clinically defined as mononeuropathy or polyneuropathy, respectively15. All the patients recruited in the present study were stratified into three groups: diabetic mononeuropathy (DMN), diabetic polyneuropathy (DPN) and non‐diabetic neuropathy (NDN), according to electrophysiological examinations of the median and ulnar nerves. Patients in the DMN group had only median or ulnar neuropathy induced by diabetes mellitus. Patients in the DPN group had both median and ulnar neuropathy induced by diabetes mellitus. Finally, those patients without neuropathy were classified in the NDN group.

Instruments

Nerve conduction studies

The nerve conduction study was carried out by stimulating the median and ulnar nerves using surface electrodes with the Medelec Synergy N‐EP system (Oxford Instruments Medical, Inc., Tubney Woods, Abingdon, Oxon, UK). Three parameters were selected to reflect the nerve response: (i) the amplitude of the sensory nerve action potential of the median nerve (SAMN) and ulnar nerve (SAUN); (ii) the peak distal latency of the SAMN/SAUN; and (iii) the conduction velocity. The SAMN and SAUN values were obtained to determine the impact of the neuropathic impairments on all participants’ hands. The reference SAMN and SAUN for a healthy population are 32.1 and 28.8 μV, respectively18.

Purdue pegboard test

The Purdue pegboard test, a standard and common hand function test, is commonly used to assess manual dexterity on the involved side as well as both sides of the hand. There are four subtests, including those for the right hand, left hand, both hands and assembly. A higher score on the Purdue pegboard test means that the patient has better hand dexterity functions. The test–retest reliability of this instrument is in the range of 0.82–0.91, and the criterion‐related validity of this test is 0.73–0.919, 20.

Michigan Hand Outcomes Questionnaire

The Michigan Hand Outcomes Questionnaire (MHQ) is a self‐administered questionnaire for measuring physical hand function and patient satisfaction with regard to some disease, as well as the performances for both hands. This questionnaire contains six dimensions, which are overall hand function, activities of daily living, work performance, pain, aesthetics and patient satisfaction, and these are assessed using 37 patient‐reported questions. Lower scores in all dimensions, except pain, indicate worse hand functional performance. The reliability of this test ranges from 0.81 to 0.9721, 22.

Diabetes‐39

The Diabetes‐39 (D‐39) instrument, a self‐reported assessment with five subdimensions, including diabetes control, sexual functioning, social burden, anxiety and worry, and energy and mobility, is a disease‐specific questionnaire with 39 questions for assessing the quality of life among patients with diabetes. Higher scores in each dimension indicate a worse quality of life. The reliability of the Chinese version of the instrument ranges from 0.82 to 0.93, and this questionnaire also has acceptable convergent and discriminant validity23, 24.

Data collection

The demographic data of all participants was collected through individual interviews. After the interview, each participant received a neurological electrophysiological examination, and the related nerve conduction studies examined the SAMN and SAUN for both hands. Each participant was then asked to sit comfortably in front of an examining table facing a pegboard, and the manual dexterity of their hands was examined using the Purdue pegboard test. Finally, each participant completed the MHQ and D‐39 questionnaires to assess their perceptions of their hand functions and diabetes‐related quality of life, respectively.

Statistical analysis

SPSS 17.0 for Windows (Statistical Package for Social Sciences Inc., Chicago, Illinois, USA) was used for the statistical analyses. The non‐parametric Kruskal–Wallis test was used to assess the statistical differences with regard to the demographic results, clinical features, hand manipulative functioning and quality of life among the three groups. The statistical significance level was set at P < 0.05. The Mann–Whitney U‐test was used to compare the categorical data, and the P‐value was set at 0.0167 (P < 0.0167).

Results

Characteristics of all participants

A total of 127 participants were enrolled in the present study, with a mean age of 58.8 ± 9.3 years (range 27–77 years). The descriptive data of disease duration and hemoglobin A1c (HbA1c) of the participants were 112.7 ± 82.3 months and 7.7 ± 1.2%, respectively. The proportions of participants showing abnormalities and normality of the evaluated median or/and ulnar nerves amplitude of the sensory nerve action potential are summarized in Table 1. The results showed that 92.9% of participants (n = 118) had hand neuropathy, whereas just 7.1% of participants (n = 9) were without hand neuropathy. Among those with hand neuropathy, 20.5% (n = 26) had DMN and 72.4% (n = 92) had DPN. In addition, 76.9% (n = 20) of the patients in the DMN group had median mononeuropathy and 23.1% (n = 6) had ulnar mononeuropathy.

Table 1.

Demographic data and distribution of all study participants

Variable All patients Three groups
n = 127 DMN (n = 26) 26/127 (20.5%) DPN (n = 92) 92/127 (72.4%) NDN (n = 9) 9/127 (7.1%)
Mean ± SD Mean ± SD Mean ± SD Mean ± SD
Age (years) 58.4 ± 9.8 58.4 ± 9.5 59.4 ± 9.3 52.9 ± 6.5
Sex (female/male) 57/68 15/11 36/56 7/2
Duration (months) 113.1 ± 80.2 112.4 ± 78 115.1 ± 83.7 88.7 ± 85.4
NGSP HbA1c (%) 7.7 ± 1.2 7.3 ± 1.2 7.8 ± 1.3 7.5 ± 1.0
IFCC HbA1c (mmol/mol) 60.4 ± 13.7 56.3 ± 13.6 61.9 ± 13.8 59.1 ± 11.4

DMN, diabetic mononeuropathy; DPN, diabetic polyneuropathy; HbA1c, hemoglobin A1c; IFCC, International Federation of Clinical Chemistry; NDN, non‐neuropathy; NGSP, National Glycohemoglobin Standardization Program.

Demographic and clinical features of the three groups

Table 1 shows that the mean ages were 58.4 ± 9.5, 59.4 ± 9.3, and 52.9 ± 6.5 years for the DMN, DPN and NDN groups, respectively, whereas the disease durations were 112.4 ± 78, 115.1 ± 83.7, and 88.7 ± 85.4 months for the DMN, DPN and NDN groups, respectively. The mean values of the National Glycohemoglobin Standardization Program HbA1c were 7.3 ± 1.2, 7.8 ± 1.3, and 7.5 ± 1.0 (International Federation of Clinical Chemistry HbA1c [mmol/mol]: 56.3 ± 13.6, 61.9 ± 13.8 and 59.1 ± 11.4) for the DMN, DPN and NDN groups, respectively. Accordingly, there were no statistically significant differences with respect to the disease duration and HbA1c (P > 0.05) among the three groups.

Comparison of hand dexterity through the purdue pegboard test among the three groups

The results of the Purdue pegboard test are shown in Table 2, and reveal significant differences in the scores in all subtests among the three groups (P < 0.01). The scores of all subtests in the NDN group were higher than those in the DMN and DPN groups. Significant variability between the DPN group compared with DMN or NDN groups is noted for all the subtests of hand dexterity in the Purdue pegboard test (P < 0.0167; Table 3). However, no significant differences in the hand dexterity performance were found between the DMN and NDN groups (P > 0.05).

Table 2.

Means and standard deviations of the Purdue pegboard test, Michigan Hand Outcomes Questionnaire and Diabetes‐39 instrument

Variable DMN DPN NDN P
Purdue pegboard test
Purdue_Dom 13.6 ± 2.4 12.1 ± 2.1 14.2 ± 1.8 0.000*, *
Purdue_Non_Dom 13.2 ± 2.7 11.5 ± 2.3 13.9 ± 2.5 0.002*, *
Purdue_Both 11.2 ± 2.4 9.7 ± 2.3 11.7 ± 1.8 0.001*, *
Purdue_Ass 26.8 ± 8.5 22.0 ± 6.7 29.8 ± 7.6 0.001*, *
Michigan Hand Outcomes Questionnaire
OVE Fun Dom 74.2 ± 24.2 67.8 ± 20.7 80.6 ± 14.2 0.077
OVE Fun Non 73.8 ± 25.5 66.4 ± 20.3 71.7 ± 19.4 0.271
ADL Dom 93.0 ± 13.6 89.7 ± 15.1 95.6 ± 5.8 0.415
ADL Non 90.8 ± 15.6 87.1 ± 17.8 90.6 ± 13.8 0.569
ADL Both 94.0 ± 14.3 91.6 ± 14.9 99.2 ± 2.4 0.158
Work 80.4 ± 26.9 79.3 ± 26.7 82.2 ± 19.1 0.961
Pain 7.7 ± 16.1 7.5 ± 17.7 4.4 ± 11.6 0.993
AES Dom 79.9 ± 19.7 74.2 ± 17.2 86.8 ± 11.5 .038*
AES Non 81.5 ± 19.1 72.8 ± 18.0 84.7 ± 14.0 .021*
SAT Dom 75.8 ± 21.7 67.7 ± 19.1 81.5 ± 13.0 .016*
SAT Non 77.3 ± 23.3 67.5 ± 19.2 76.4 ± 14.3 0.085
OVE ADL Dom 93.5 ± 13.8 90.5 ± 14.2 97.4 ± 3.2 0.243
OVE ADL_Non 92.4 ± 13.8 89.2 ± 15.6 94.9 ± 7.0 0.410
Total Score_Dom 83.3 ± 14.6 78.6 ± 13.8 87.3 ± 10.1 0.050
Total Score_Non 83.5 ± 15.4 77.9 ± 14.4 84.2 ± 11.2 0.103
Diabetes‐39
Diabetes control 23.8 ± 14.0 35.7 ± 18.4 31.7 ± 20.3 0.029*
Anxiety and worry 29.5 ± 20.9 41.0 ± 21.6 41.5 ± 20.2 0.145
Social burden 20.3 ± 14.1 30.4 ± 19.3 26.1 ± 18.2 0.121
Sexual functioning 19.5 ± 22.0 40.7 ± 27.9 36.9 ± 30.0 0.003*
Energy and mobility 26.2 ± 14.4 40.6 ± 20.0 35.0 ± 17.6 0.010*

AES, aesthetics; OVE, overall hand function; SAT, satisfaction. *P < 0.05; **P < 0.01.

Table 3.

Comparisons of the Purdue pegboard test, Michigan Hand Outcomes Questionnaire and Diabetes‐39 instrument between two groups

Variable DPN & DMN P DPN & NDN P DMN & NDN P
Purdue pegboard test
Purdue_Dom 0.002** 0.003** 0.516
Purdue_Non_Dom 0.004** 0.017* 0.643
Purdue_Both 0.003** 0.015* 0.643
Purdue_Ass 0.005** 0.005** 0.446
Michigan Hand Outcomes Questionnaire
OVE Fun Dom 0.162 0.044* 0.575
OVE Fun Non 0.141 0.397 0.693
ADL Dom 0.211 0.562 0.672
ADL Non 0.301 0.741 0.671
ADL Both 0.204 0.119 0.481
Work 0.774 0.974 0.917
Pain 0.906 0.993 0.932
AES Dom 0.109 0.027* 0.398
AES Non 0.024* 0.055 0.803
SAT Dom 0.055 0.014* 0.529
SAT Non 0.036* 0.309 0.827
OVE ADL Dom 0.116 0.402 0.707
OVE ADL_Non 0.226 0.479 0.876
Total Score_Dom 0.079 0.050 0.686
Total Score_Non 0.045* 0.317 0.856
Diabetes‐39
Diabetes control 0.007** 0.511 0.541
Anxiety and worry 0.059 0.821 0.153
Social burden 0.043* 0.564 0.442
Sexual functioning 0.001** 0.644 0.143
Energy and mobility 0.003** 0.476 0.203

DMN & NDN, Patients with mononeuropathy compared with patients without neuropathy; DPN & DMN, patients with polyneuropathy compared with patients with mononeuropathy; DPN & NDN, patients with polyneuropathy compared with patients without neuropathy. *P<0.05; **P < 0.01.

Comparison of self‐perceived hand functional outcomes through the MHQ among the three groups

With regard to the dominant and non‐dominant hands, the dimensions of aesthetics with hand function in the MHQ showed significant differences among the three groups (Table 2; P < 0.05). The patients’ satisfaction with the dominant hand also showed significant differences among those groups, but no significant difference was found with regard to the non‐dominant hand. Although no statistical differences were found in the dimensions of overall hand function, activities of daily living, work performance, pain and total scores among the study groups (P > 0.05), higher scores for these dimensions were observed in the NDN group than for the DMN and DPN groups. Comparing the MHQ results between the DPN and DMN groups, significant differences were found in the dimensions of total score, aesthetics and patient satisfaction with the non‐dominant hand (Table 3). Statistical differences in the dimensions of patient satisfaction, aesthetics, and overall hand function with the dominant hand were noted between the DPN and NDN groups (Table 3). No significant differences in the MHQ scores were found between the DMN and NDN groups (P > 0.05).

Comparison of self‐perceived quality of life through the D‐39 among three groups

The scores of the DPN group were higher than those of both the DMN and NDN groups for most dimensions in the D‐39, showing that the patients with diabetic polyneuropathy had lower perceived quality of life than those with non‐neuropathy or mononeuropathy did (Table 2). There were significant differences in the dimensions of diabetes control, sexual functioning, energy and mobility in the D‐39 among the three groups (P < 0.05), whereas there were no significant differences (P > 0.05) for the dimensions of anxiety and worry, and social burden among the groups (Table 2). Significant differences were found in the dimensions of diabetes control, social burden, sexual functioning, and energy and mobility between the DPN and DMN groups, but no statistically significant differences were noted between the DPN and NDN groups, or the DMN and NDN groups (Table 3).

Discussion

Although there are many studies that focus on issues related to diabetic feet, the literature has paid less attention to exploring the associations between diabetic hands and the related deficits in functional hand performance, nor the influences of different abnormalities as a result of mononeuropathy and polyneuropathy on hand functioning and quality of life11, 25. Most patients and even clinicians thus do not have a sufficient understanding of how diabetic neuropathic hands might affect manipulation performance and various daily tasks. The results of the present study showed that the mean age and disease duration of the individuals in the DPN group were both greater than those seen in the NDN and DMN groups, and the HbA1c score was also highest in the DPN group. This shows that severe neuropathy might be associated with aging, longer disease duration and worse glycemic control. Poor glycemic control is one of the basic pathogenic factors in the development of diabetic neuropathy of the hands. The demographic findings of the current study are consistent with the results found by Cederlunda et al.5 and Al‐Matubsi et al.26, which showed that poor glucose tolerance influenced the sensibility of hand nerves, and that patients with neuropathy were more likely to have been suffering from a longer disease duration.

The present clinical observations showed that 92.9% of the recruited participants had neuropathy in their hands. Among these, the prevalence of polyneuropathy (72.4%) was far higher than that of mononeuropathy (20.5%) and non‐neuropathy (7.1%). In addition, a notable percentage of the mononeuropathy cases was due to median neuropathy. A similar finding was noted in a previous study, which reporetd that 84.4% of the diabetes patients examined had more than one abnormal nerve, based on electrophysiological assessments for the median, ulnar, peroneal, tibial and sural nerves. Among those patients with neuropathies, 42.2% showed median neuropathy12. Bertora et al.11 also reported that approximately 82% of patients with diabetes were estimated to have subclinical hand neuropathy, based on the results of neurophysiological tests. Similarly, a high percentage (up to 50%) of polyneuropathy was found among type 2 diabetes mellitus patients by Tesfaye27. The results of these earlier works show that neuropathic hand is definitely an issue for diabetes patients. Although everyone is aware that hands play a key role in our daily lives, it is interesting to note in the literature that neither patients nor clinicians seem to take this issue as seriously as they perhaps should.

Several previous studies have shown that hand dexterity is often affected by various neurological deficits, such as carpal tunnel syndrome28, traumatic nerve injuries or diabetes mellitus. Pfutzner et al.6, 7 also reported that patients with diabetes mellitus showed significant dexterity deficits, which might result in difficulties when carrying out therapeutic protocols in their daily routines (e.g., monitoring blood glucose or injecting insulin). Because the patients with polyneuropathy showed worse hand performance than those with mononeuropathy and non‐neuropathy, it is noted that the greater nerve abnormalities due to hand neuropathy resulted in more serious impairments of hand dexterity, thus supporting the hypothesis of the present study. The poor hand dexterity found for the patients with polyneuropathy in the present study shows that this condition has significant effects on the performance of various activities of daily living, as well as self‐perceived quality of life.

According to the results of the MHQ, the patients with polyneuropathy had more disturbances in the subdimensions of total score, aesthetics and patient satisfaction with the non‐dominant hand than those with mononeuropathy. In addition, differences in the subdimensions of overall hand function, aesthetics and patient satisfaction with the dominant hand were found between patients with mononeuropathy and non‐neuropathy. These results show that hand neuropathy did not seem to have any obvious influences on the hand functioning of the diabetes patients examined in the present study, based on this self‐reported assessment. A similar report from Poole et al.29 also found that although diabetes patients might feel some degrees of weakness or dysfunction in their hands, most of them did not seem to care about this, or perceived only a few detectable deficits, such as decreased hand dexterity or poor sensorimotor coordination of their hands. However, those patients with severe neuropathic symptoms of the hands are more likely to sense or report dissatisfaction with regard to hand performance, as a result of the apparent sensory or motor defects. Furthermore, no statistical differences were found in any of the subdimensions of the MHQ between the DMN and NDN groups. These results indicate that the hand impairments were easily ignored, and that the patients gradually learned to adapt when carrying out their daily routines, especially for those with gradual and slow symptomatic changes, like neuropathy8, 30.

Diabetic neuropathy appears to have the most negative effect on quality of life, as compared with other complications, based on the results of the 36‐item Short Form Health Survey. A previous study also noted the reduction in quality of life among diabetes patients who suffer from various different complications31. Some reports also showed that patients with hand neuropathy reported worse quality of life scores than those without hand neuropathy, based on both objective and patient‐perceived measurements32, 33. The results of the current study also showed that the patient‐perceived quality of life, based on D‐39, is influenced by diabetic polyneuropathy in the dimensions of diabetes control, sexual functioning, energy and mobility. These results are consistent with those in Ovayolu et al.34, which showed that polyneuropathy significantly decreased diabetes patients’ quality of life, based on assessments carried out using the 36‐item Short Form Health Survey and World Health Organization Quality of Life‐Brief. The present investigation showed that the sexual functioning of patients with polyneuropathy might be negatively affected, and similar results were noted by Romeo et al.35, who found that patients with more severe diabetic neuropathy might have more sexual functioning impairments than those with milder symptoms. Although the present findings showed no statistical differences in the subdimension of anxiety and worry among the groups, this was the most affected subdominion in the study by Mngomezulu and Yang36. This might be due to the different criteria used for the recruitment of participants, and also the different cultural factors in the countries where the studies were carried out. Generally speaking, the findings of the current study support our research hypothesis that polyneuropathy will negatively affect the quality of life of patients with diabetes. However, previous studies and the contents of the D‐39 instrument both pay relatively little attention to how the resulting impairments of the fine motor and functional hand performance influence the quality of life. Further modifications to the contents of the D‐39 instrument with regard to quality of life related to the upper limb functions are thus recommended.

The results reported above show that the patients with diabetic mononeuropathy did not seem to suffer from any significant disturbances with regard to either hand functional performance or quality of life. This could be because some relatively slight symptoms might not be noticed by the patients, and they are able to adapt their habits to compensate for any discomfort when carrying out their routine daily activities. Although the present study provides some valuable information that reveals how neuropathy can have negative impacts on diabetes patients’ hand functional performance and quality of life, it also has the following limitations. First, the sample size of the DMN and NDN groups was rather small in comparison with the DPN group. Although the Cohen's d in the results of DMN and NDN groups were computed as 0.016–0.661, which showed small‐ to medium‐sized effects, increasing the sample size in these two groups could be suggested to augment statistical power in future experiments. Second, the present study focused on investigating the manipulation functions of diabetic hands so that the median and ulnar nerves were the keys to be observed. However, the radial nerve also plays a crucial role in functional performances of upper limbs, which might be another worthy issue to be investigated in the future. In addition, the cross‐sectional observational design used in the present study meant that changes in the hand neuropathy of the patients with diabetes were not considered in the study.

The findings of the present study show that diabetic polyneuropathy of the hand might have significantly negative impacts on the patients’ functional hand performances and perceived quality of life. As the neuropathy of diabetic hands often seems to be a neglected complication in clinical practice, it is hoped that the results of this report can help raise awareness of this issue among both diabetes patients and clinicians. Better therapeutic strategies or proper education regarding complications of diabetic hand neuropathy to reduce the progression of neuropathy and help patients to maintain proper hand functions should be required.

Disclosure

The authors declare no conflict of interest.

Acknowledgments

This study acknowledges the financial support received from the Ministry of Science and Technology of the Taiwan under Contract MoST 104‐2221‐E‐006 ‐099 ‐MY3. This study was carried out with the cooperation of the Family Medicine and General Medicine Department in Chai‐Yi Christian Hospital.

J Diabetes Investig 2018; 9: 179–185

References

  • 1. Kamenov Z, Parapunov R, Georgieva R. Incidence of diabetic neuropathy. J Clin Med 2009; 2: 39–48. [Google Scholar]
  • 2. Papanas N, Maltezos E. The diabetic hand: a forgotten complication? J Diabetes Complications 2010; 24: 154–162. [DOI] [PubMed] [Google Scholar]
  • 3. Gorniak S, Khan A, Ochoa N, et al Detecting subtle fingertip sensory and motor dysfunction in adults with type II diabetes. Exp Brain Res 2014; 232: 1283–1291. [DOI] [PubMed] [Google Scholar]
  • 4. Dyck PJ, Karnes JL, O'Brien PC, et al The Rochester Diabetic Neuropathy Study: reassessment of tests and criteria for diagnosis and staged severity. Neurology 1992; 42: 1164–1170. [DOI] [PubMed] [Google Scholar]
  • 5. Cederlunda RI, Thomsenb N, Thrainsdottirc S, et al Hand disorders, hand function, and activities of daily living in elderly men with type 2 diabetes. J Diabetes Complications 2009; 23: 32–39. [DOI] [PubMed] [Google Scholar]
  • 6. Pfutzner A, Musholt PB, Schipper C, et al Self‐assessment and objective determination of dexterity in patients with type 1 or type 2 diabetes mellitus. Curr Med Res Opin 2012; 28: 15–21. [DOI] [PubMed] [Google Scholar]
  • 7. Pfützner J, Hellhammer J, Pfützner AH, et al Evaluation of Dexterity in Insulin‐Treated Patients with Type 1 and Type 2 Diabetes Mellitus. J Diabetes Sci Technol 2011; 5: 158–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Yang CJ, Hsu HY, Lu CH, et al The associations among hand dexterity, functional performance, and quality of life in diabetic patients with neuropathic hand from objective‐ and patient‐perceived measurements. Qual Life Res 2015; 24: 213–221. [DOI] [PubMed] [Google Scholar]
  • 9. Kincaid J, Price K, Jimenez M, et al Correlation of vibratory quantitative sensory testing and nerve conduction studies in patients with diabetes. Muscle Nerve 2007; 36: 821–827. [DOI] [PubMed] [Google Scholar]
  • 10. Hsu HY, Chiu HY, Lin HT, et al Impacts of elevated glycaemic haemoglobin and disease duration on the sensorimotor control of hands in diabetes patients. Diabetes Metab Res Rev 2015; 31: 385–394. [DOI] [PubMed] [Google Scholar]
  • 11. Bertora P, Valla P, Dezuanni E, et al Prevalence of subclinical neuropathy in diabetic patients: assessment by study of conduction velocity distribution within motor and sensory nerve fibres. J Neurol 1998; 245: 81–86. [DOI] [PubMed] [Google Scholar]
  • 12. Rota E, Quadri R, Fanti E, et al Electrophysiological findings of peripheral neuropathy in newly diagnosed type II diabetes mellitus. J Peripher Nerv Syst 2005; 10: 348–353. [DOI] [PubMed] [Google Scholar]
  • 13. Mondelli M, Aretini A, Rossi S. Ulnar neuropathy at the elbow in diabetes. Am J Phys Med Rehabil 2009; 88: 278–285. [DOI] [PubMed] [Google Scholar]
  • 14. Chiu HY, Hsu HY, Kuo LC, et al How the impact of median neuropathy on sensorimotor control capability of hands for diabetes: an achievable assessment from functional perspectives. PLoS One 2014; 9: e94452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kimura J. Electrodiagnosis in Diseases of Nerve and Muscle: Principles And Practice. New York: Oxford University Press, 2013. [Google Scholar]
  • 16. Loseth S, Mellgren SI, Jorde R, et al Polyneuropathy in type 1 and type 2 diabetes: comparison of nerve conduction studies, thermal perception thresholds and intraepidermal nerve fibre densities. Diabetes Metab Res Rev 2010; 26: 100–106. [DOI] [PubMed] [Google Scholar]
  • 17. Lewko J, Politynska B, Kochanowicz J, et al Median nerve conduction impairment in patients with diabetes and its impact on patients’ perception of health condition: a quantitative study. Diabetol Metab Syndr 2013; 5: 16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Sethi RK, Thompson LL. The Electromyographer's Handbook. Boston: Little, Brown, 1989. [Google Scholar]
  • 19. Buddenberg LA, Davis C. Test‐retest reliability of the Purdue Pegboard Test. Am J Occup Ther 2000; 54: 555–558. [DOI] [PubMed] [Google Scholar]
  • 20. Tiffin J, Asher EJ. The Purdue Pegboard: Norms and studies of reliability and validity. J Appl Psychol 1948; 32: 234. [DOI] [PubMed] [Google Scholar]
  • 21. Chung KC, Pillsbury MS, Waiters MR, et al Reliability and validity testing of the Michigan Hand Outcomes Questionnaire. J Hand Surg 1998; 23: 575–587. [DOI] [PubMed] [Google Scholar]
  • 22. Horng YS, Lin MC, Feng CT, et al Responsiveness of the Michigan Hand Outcomes Questionnaire and the Disabilities of the Arm, Shoulder, and Hand questionnaire in patients with hand injury. J Hand Surg 2010; 35: 430–436. [DOI] [PubMed] [Google Scholar]
  • 23. Boyer J, Earp J. The development of an instrument for assessing the quality of life of people with diabetes: Diabetes‐39. Med Care 1997; 35: 440–453. [DOI] [PubMed] [Google Scholar]
  • 24. Huang IC, Hwang CC, Wu MY, et al Diabetes‐specific or generic measures for health‐related quality of life? Evidence from psychometric validation of the D‐39 and SF‐36. Value Health 2008; 11: 450–461. [DOI] [PubMed] [Google Scholar]
  • 25. Ko SH, Cha BY. Diabetic peripheral neuropathy in type 2 diabetes mellitus in Korea. Diabetes Metab J 2012; 36: 6–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Al‐Matubsi H, Hamdan F, Alhanbali O, et al Diabetic hand syndromes as a clinical and diagnostic tool for diabetes mellitus patients. Diabetes Res Clin Pract 2011; 94: 225–229. [DOI] [PubMed] [Google Scholar]
  • 27. Tesfaye S. Neuropathy in diabetes. Medicine 2010; 38: 649–655. [Google Scholar]
  • 28. Yen WJ, Kuo YL, Kuo LC, et al Precision pinch performance in patients with sensory deficits of the median nerve at the carpal tunnel. Mot Control 2014; 18: 29–43. [DOI] [PubMed] [Google Scholar]
  • 29. Poole JL, Gonzales I, Tedesco T. Self‐reports of hand function in persons with diabetes. Occup Ther Health Care. 2010; 24: 239–248. [DOI] [PubMed] [Google Scholar]
  • 30. Videler AJ, Beelen A, van Schaik IN, et al Limited upper limb functioning has impact on restrictions in participation and autonomy of patients with hereditary motor and sensory neuropathy 1a. J Rehabil Med 2009; 41: 746–750. [DOI] [PubMed] [Google Scholar]
  • 31. Venkataraman K, Wee HL, Leow MK, et al Associations between complications and health‐related quality of life in individuals with diabetes. Clin Endocrinol (Oxf) 2013; 78: 865–873. [DOI] [PubMed] [Google Scholar]
  • 32. Davis N, Tomuta N, Isasi CR, et al Diabetes‐specific quality of life after a low‐carbohydrate and low‐fat dietary intervention. Diabetes Educ 2012; 38: 250–255. [DOI] [PubMed] [Google Scholar]
  • 33. Lewko J, Kochanowicz J, Zarzycki W, et al Poor hand function in diabetics Its causes and effects on the quality of life. Saudi Med J 2012; 33: 429–435. [PubMed] [Google Scholar]
  • 34. Ovayolu N, Akarsu E, Madenci E, et al Clinical characteristics of patients with diabetic polyneuropathy: the role of clinical and electromyographic evaluation and the effect of the various types on the quality of life. Int J Clin Pract 2008; 62: 1019–1025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Romeo JH, Seftel AD, Madhun ZT, et al Sexual function in men with diabetes type 2: association with glycemic control. The Journal of urology. 2000; 163: 788–791. [PubMed] [Google Scholar]
  • 36. Mngomezulu N, Yang CC. Quality of life and its correlates in diabetic outpatients in Swaziland. Int Health 2015; 7: 464–471. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Diabetes Investigation are provided here courtesy of Wiley

RESOURCES