The effect of exercise therapy on balance in patients with diabetic peripheral neuropathy: a systematic review

Akbari, Narges Jahantigh; Naimi, Sedigheh Sadat

doi:10.1007/s40200-022-01077-1

Cited by 4 publications

(3 citation statements)

References 40 publications

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“…This can stress the effect of implementing the brain gym exercises which ameliorates the neuropathy features. Concerning mean total balance level pre and post brain gym exercises implementation, the current study results observed that there was highly significant improvement of mean total balance level among studied patients post implementing brain gym exercises than before .This results is in agreement with Sohrabzadeh et al, (2022) and Akbari & Naimi (2022)who studied ''the effect of exercise therapy on balance in patients with diabetic peripheral neuropathy'' and found in their studies that exercise therapy improved balance among patients with diabetic peripheral neuropathy. Additionally, this finding is consistent with Du Plessis et al 's., (2023) findings.…”

Section: Effect Of Applying Brain Gym Exercises On Balance and Concer...supporting

confidence: 92%

Effect of Applying Brain Gym Exercises on Balance and Concerns about falls among Patients with Diabetic Neuropathy

Elshemy,

Fareed,

Deep

2023

Menoufia Nursing Journal

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Background: Type II diabetes mellitus (DM), which is regarded as a modern pandemic worldwide, is considered a serious public health problem in Egypt that precipitates to diabetic neuropathy on the long run. Purpose: The current study's purpose was to determine the effect of applying brain gym exercises on balance and concerns about falls among patients with diabetic neuropathy. Design: A quasi-experimental (prepost test) study research design was utilized to accomplish the purpose of the study. Sampling: A purposive sample of 79 patients who visited the diabetic clinic in Shebin ElKom Teaching Hospital during period of data collection were included in the study. Instruments:The researchers used five instruments to collect the data as follows:

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Section: Effect Of Applying Brain Gym Exercises On Balance and Concer...supporting

confidence: 92%

Effect of Applying Brain Gym Exercises on Balance and Concerns about falls among Patients with Diabetic Neuropathy

Elshemy,

Fareed,

Deep

2023

Menoufia Nursing Journal

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“…Of the many identified risk factors for falls, the more important ones tend to be impaired balance and mobility due to age or diabetes-related declines in physiological function. Therefore, most screening tools and interventions are specifically designed to address balance, walking dysfunction, reduced responsiveness, and muscle weakness, as these factors are amenable to improvement in the elderly or diabetic population and are most likely to be positively influenced by individualized interventions [ 36 – 38 ]. In a systematic review by Tofthagen et al [ 36 ], the authors summarise the existing literature on the effectiveness of plyometric and balance training interventions in people at high risk of falls and conclude that plyometric and balance training is recommended to be safe and effective in older people at high risk of falls and in the DPN population.…”

Section: Discussionmentioning

confidence: 99%

“…for patients with DPN had a significant positive effect on improving posture and stability. Akbari et al [ 38 ] also conducted a meta-analysis that included 12 original studies and concluded that different types of functional body balance exercises were effective in improving static, dynamic, and functional balance parameters in patients with DPN.…”

Section: Discussionmentioning

confidence: 99%

The influence of diabetes and age-related degeneration on body balance control during static standing: a study based on plantar center-of-pressure trajectories and principal component analysis

Hu,

Yang,

Wang

et al. 2023

J Orthop Surg Res

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Background Aging and diabetes can impair the balance function of the elderly and diabetic patients and increase their fall risk. This study aimed to assess the shaking amplitude of the center-of-pressure (CoP) during static standing, to analyze the effects of aging and diabetes on the balance control. Materials and methods This cross-sectional observational study, compared the balance performance of 20 healthy younger adults (27.65 ± 5.60 years), 16 healthy older adults (58.88 ± 3.54 years) and 15 diabetic patients (58.33 ± 5.33 years) in four static standing conditions on a force plate: horizontal, anteroposterior (AP), left and right slope planes (5° angles on AP, left and right directions, respectively). The trajectory coordinates of the CoP over time were recorded and analyzed by principal components analysis to obtain the 95% confidence ellipse and its parameters: angle, major and minor axes lengths, and area. The balance indicators were compared among the three groups using one-way analysis of variance (ANOVA), Brown–Forsythe test or Kruskal–Wallis H test, depending on the normality and homogeneity of variance assumptions. Results The diabetic group had a significantly larger confidence ellipse area than the healthy younger adults on the horizontal plane (P = 0.032) and than the healthy older adults on the horizontal (P = 0.036), AP slope (P = 0.023), and right ML slope (P = 0.037) planes. There were no significant differences in the major axis length of the confidence ellipse among the three groups. The diabetic group had a significantly longer minor axis length than the healthy younger adults on the AP slope (P = 0.039), left ML slope (P = 0.045) and right ML slope (P = 0.016) planes and than the healthy older adults on the AP slope (P = 0.007), left ML slope (P = 0.035) and right ML slope (P = 0.012) planes. Conclusions The balance control of diabetic patients is decreased compared with healthy younger and older people, and the body swing amplitude increases mainly in the direction of minor axis of confidence ellipse during static standing, while the swing amplitude in the direction of the major axis has no significant change. Evaluating the balance function of diabetic patients can help clinicians identify people with fall risk early and intervene early, thereby reducing the occurrence of fall events in this population.

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Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy

Bakaliuk,

Makarchuk,

Stelmakh

et al. 2024

Mìžnarodnij endokrinologìčnij žurnal

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Background. Predicting the effectiveness of rehabilitation in patients with diabetic polyneuropathy (DPN) and type 2 diabetes mellitus is of great importance in modern clinical practice. Given the prevalence of diabetes and its complications, including DPN, the development of predictive models will allow for personalized treatment approaches, optimization of rehabilitation programs, and improvement in the quality of life for patients. Integrating state-of-the-art data analysis methods and molecular-biological approaches into predictive models will contribute to the development of innovative rehabilitation strategies and improve treatment outcomes in this important patient population. The purpose of the study was to propose a multifactorial regression mathematical model for predicting the effectiveness of diabetic polyneuropathy rehabilitation. Materials and methods. Ninety-five patients with type 2 diabetes and DPN were examined to construct a predictive model of rehabilitation effectiveness using multiple regression analysis. The quality of the model was evaluated using the Nagelkerke criterion (R2). Results. The analysis revealed several significant associations between various factors and the effectiveness of rehabilitation in DPN patients. Specifically, an increase in age was associated with a predicted decrease in rehabilitation effectiveness by 0.103. Moreover, each increase in the duration of diabetes mellitus was associated with an expected decrease in rehabilitation effectiveness, ranging from 1.341 to 3.732 depending on the duration range. Similarly, changes in tobacco smoking, employment status, body mass index, glycated hemoglobin levels, mobility, self-care, usual activities, pain/discomfort, anxiety/depression, sensory sensitivities, DN4 scores, and lipid profile were all significantly associated with variations in rehabilitation effectiveness. The regression model demonstrated high explanatory power, with an observed correlation coefficient (rxy) of 0.997, indicating a strong functional relationship. Furthermore, the model was statistically significant (p < 0.001), suggesting that the identified predictors collectively explain 99.5 % of the observed variance in rehabilitation effectiveness. These findings underscore the importance of considering multiple factors when predicting rehabilitation outcomes in DPN patients and highlight the potential utility of the developed model in clinical practice. Conclusions. The proposed mathematical model for predicting the effectiveness of rehabilitation in type 2 diabetes patients with DPN demonstrates high acceptability, quality, and effectiveness. The application of this model, considering 99.5 % of DPN factors, will enhance the accuracy and timeliness of rehabilitation, improve treatment outcomes, facilitate regular monitoring of patients at high risk of complications, promote the development of informational leaflets and adapted programs for DPN prevention in type 2 diabetes patients, and facilitate the creation of relevant medical calculators and informational systems.

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The effect of exercise therapy on balance in patients with diabetic peripheral neuropathy: a systematic review

Cited by 4 publications

References 40 publications

Effect of Applying Brain Gym Exercises on Balance and Concerns about falls among Patients with Diabetic Neuropathy

Effect of Applying Brain Gym Exercises on Balance and Concerns about falls among Patients with Diabetic Neuropathy

The influence of diabetes and age-related degeneration on body balance control during static standing: a study based on plantar center-of-pressure trajectories and principal component analysis

Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy

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