The Effectiveness of Aerobic Exercise in Improving Peripheral Nerve Functions in Type 2 Diabetes Mellitus: An Evidence Based Case Report

BACKGROUND

peripheral neuropathy is known as one of most common complication in diabetes mellitus type 2 patient. This complication is caused by uncontrolled condition of blood glucose level in long periode. Regular physical activity in moderate to high intensity is beneficial in management of diabetes mellitus. This report aimed to know the effectiveness of aerobic exercise in causing improved peripheral functions in type 2 diabetes mellitus.

METHODS

literature searching using several related keywords in Medline®, Pubmed®, and Cochrane library, following inclusion and exclusion criteria.

RESULTS

Dixit et al suggested that a heart rate intensity of 40-60% aerobic exercise of 30-45 min duration per session for eight weeks suggest an important impact in controlling diabetic peripheral neuropathy. Kluding PM et al suggested that significantly improved selected measures of peripheral nerve function ("worst" pain levels and MNSI score), glycemic control (HbA1c), and resting heart rate.

CONCLUSION

the studies showed significant benefit of aerobic exercise, despite the short duration of exercise being used as intervention towards improvement in peripheral nerve function. However, further studies with large samples and longer duration of intervention are needed to confirm the finding.

Estimating the proportion of metabolic health outcomes attributable to obesity: a cross-sectional exploration of body mass index and waist circumference combinations

BACKGROUND

Recent evidence suggests that a substantial subgroup of the population who have a high-risk waist circumference (WC) do not have an obese body mass index (BMI). This study aimed to explore whether including those with a non-obese BMI but high risk WC as 'obese' improves prediction of adiposity-related metabolic outcomes.

METHODS

Eleven thousand, two hundred forty-seven participants were recruited. Height, weight and WC were measured. Ten thousand, six hundred fifty-nine participants with complete data were included. Adiposity categories were defined as: BMI(N)/WC(N), BMI(N)/WC(O), BMI(O)/WC(N), and BMI(O)/WC(O) (N = non-obese and O = obese). Population attributable fraction, area under the receiver operating characteristic curve (AUC), and odds ratios (OR) were calculated.

RESULTS

Participants were on average 48 years old and 50 % were men. The proportions of BMI(N)/WC(N), BMI(N)/WC(O), BMI(O)/WC(N) and BMI(O)/WC(O) were 68, 12, 2 and 18 %, respectively. A lower proportion of diabetes was attributable to obesity defined using BMI alone compared to BMI and WC combined (32 % vs 47 %). AUC for diabetes was also lower when obesity was defined using BMI alone (0.62 vs 0.66). Similar results were observed for all outcomes. The odds for hypertension, dyslipidaemia, diabetes and CVD were increased for those with BMI(N)/WC(O) (OR range 1.8-2.7) and BMI(O)/WC(O) (OR 1.9-4.9) compared to those with BMI(N)/WC(N).

CONCLUSIONS

Current population monitoring, assessing obesity by BMI only, misses a proportion of the population who are at increased health risk through excess adiposity. Improved identification of those at increased health risk needs to be considered for better prioritisation of policy and resources.