Prevalence of diabetic peripheral neuropathy in Iran: a systematic review and meta-analysis

Sobhani, Sahar; Asayesh, Hamid; Sharifi, Farshad; Djalalinia, Shirin; Baradaran, Hamid Reza; Arzaghi, Seyed Masoud; Mansourian, Morteza; Rezapoor, Aziz; Ansari, Hossein; Masoud, Mohammad Parvaresh; Qorbani, Mostafa

doi:10.1186/s40200-014-0097-y

Cited by 63 publications

(54 citation statements)

References 17 publications

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“…17 Sobhani S et al study suggests that the prevalence of neuropathy is very high among the population with diabetes in Iran but they have not given any percentage of prevalence whereas our current study revealed 60% of prevalence of neuropathy in the diabetic patients. 18 Mythili A et al …”

Section: Discussionmentioning

confidence: 99%

Prevalence of sensory peripheral neuropathy in diabetic patients at diabetes care centre: a cross sectional study

et al. 2017

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Background: Diabetic neuropathy is a nerve damaging disorder associated with diabetes; result from micro vascular injury involving small blood vessels that supply to the nerve (vas nervorum) in addition to macro vascular condition that can culminate in diabetic neuropathy. By the year 2025 hundreds of people were estimated to become diabetic. The rates of prevalence of neuropathy increasing worldwide which is directly related to the nonmodifiable risks like age, duration of diabetes, obesity, alcoholism, gender. Methods: A cross sectional interventional study was conducted on diabetic patients. Questionnaire, instruments and demographic details were used to collect data from patients. The diabetic neuropathy is conformed in patients by using biothesiometric analysis, tuning fork, monofilament, NSS and NDS. Results: Total 331 subjects included in the study, 200 cases diagnosed with DPN according to biothesiometry and prevalence percentage was found to be 60.4% and incidence was found to be 8.76% respectively. A significant greater proportion of males reported neuropathy more than females. The association between the obesity and the DPN was (r 2 =0.7922) low positive correlation. High positive correlation was confirmed with NSS, NDS respectively. Conclusions: It was concluded that there is a higher prevalence (60.4%) and incidence (8.76%) of neuropathy among the diabetic subjects and it may go on increasing as the age progress.

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Section: Discussionmentioning

confidence: 99%

Prevalence of sensory peripheral neuropathy in diabetic patients at diabetes care centre: a cross sectional study

et al. 2017

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“…This may be attributed to different types of diabetes, existing health care facilities, sample selection, different diagnostic criteria used, variable methods etc. [6–8]. …”

Section: Introductionmentioning

confidence: 99%

Peripheral Sensory Neuropathy and associated factors among adult diabetes mellitus patients in Bahr Dar, Ethiopia

Jember

Melsew

Fisseha

et al. 2017

J Diabetes Metab Disord

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BackgroundDiabetic sensory neuropathy is a common form of microvascular complication among diabetic patients. The swiftly growing population of people living with diabetes in Ethiopia and lack of elaborated scientific data on peripheral sensory neuropathy among diabetic population in Ethiopia prompted this work. This study was set out to assess the enormity and associated factors of peripheral sensory neuropathy among diabetes patients attending chronic illness clinic of Felege Hiwot Regional Referral Hospital, Bahr Dar, Northwest Ethiopia.MethodsAn institution based cross-sectional study was conducted at Felege Hiwot Referral Hospital chronic illness clinic using Michigan neuropathy screening instrument tool for diabetic peripheral sensory neuropathy on 408 diabetic patients during 2016. Data were collected using interview, patient record review, anthropometric measurements and physical examination. Both bivariate and multivariate binary logistic regression was employed to identify factors associated with peripheral sensory neuropathy. Odds ratios with their 95% CI and P value less than 0.05 used to determine statistically significant associations.ResultsA total of 368 patients were included with the mean age of 49 ± 14.3 years. The overall prevalence of Peripheral Sensory Neuropathy was found to be 52.2%. The major associated factors identified by multivariate analysis were age >50 years: AOR: 3.0 CI [1.11, 7.89]; overweight and obese: AOR: 7.3 CI [3.57, 14.99]; duration of DM: AOR: 3.4 CI [1.75, 6.60]; not involved in physical exercise: AOR: 4.8 CI [1.90, 7.89]; male gender: AOR: 2.4 CI [1.18, 5.05].ConclusionAlmost half of the diabetic patients who attended Felege Hiwot regional referral hospital during study period were found to present with peripheral sensory neuropathy. Socio-demographic and bio characteristics like patients age, Body Mass Index, level of physical activity and marital status were significantly associated with diabetic peripheral sensory neuropathy.

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“…The World Health Organization (WHO) estimated that the prevalence of diabetes would be equal to 171 million people in 2000 and it would reach to 438 million people by 2030 (Sobhani et al, 2014). Most of this increase is taking place in developing countries, and as estimated, about 75% of diabetics will live in these countries by 2025 (Saeidpour et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…A person died of diabetes at every 10 seconds (Shahab Jahanlu et al, 2015). Due to the direct association of this disease with increased prevalence of cardiovascular, cerebrovascular, peripheral arteries, retinopathy, neuropathy, nephropathy, diabetic foot, amputation and depression diseases (Sobhani et al, 2014), it has a direct impact on the health care costs, and also increases the mortality in people (Kermansaravi et al, 2011), so that the average age of life expectancy in diabetics reduces to 15 years, and it finally has a negative impact on their quality of life (Lioyd et al, 2011). Quality of life refers to the individuals' satisfaction with some life fields which are important to them (Lioyd & Orchard, 1999).…”

Section: Introductionmentioning

confidence: 99%

The Effect of Self-Care Education through Social Networks on the Patients’ Quality of Life with Type 1 Diabetes in Sanandaj City, Iran

Mohammadi¹,

Valiee²,

Nouri³

et al. 2018

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Introduction and Objective: The increasing advances in technology and development of the Internet and telecommunications have provided great opportunities for the healthcare and distance education. The present study aimed to examine the impact of distance education (through virtual social networks) on the quality of life in type-1 diabetic patients referring to the diabetes clinic of Tohid Hospital in Sanandaj. Materials and Methods: The present study was a clinical trial with a registration number of IRCT2017 092336362N1. In the spring of 2017, 80 patients were selected from type-1 diabetic patients, who referred to diabetes clinic of Tohid Hospital in Sanandaj, and they were randomly put into 35-patient experimental group, and the 45-patient control group. The quality of life questionnaire and the subjects' demographic characteristics were collected before the research. In the studied group, training was completed for two months by creating a telegram channel. After two months, the questionnaires were re-completed in both groups. Results: Both intervention and control groups were similar in terms of numerical demographic variables such as age and educational status, and also in terms of variables such as the gender, marital status, family history, insurance, weight and height. Before the research, the mean score of quality of life in the intervention group was equal to 40.82, but it was 43.34 after the research. Despite the fact that this value was not statistically significant (p = 0.0638), the mean score of their quality of life increased. In the control group, there was not any significant difference between the quality of life scores before and after the intervention (p = 0.6147). Conclusion: Self-care distance education in Creative Education diabetic patients could have a significant effect on the improved patient self-care and ultimately increase the mean score of patients' quality of life. The use of social networks in providing this education could provide free education on a wide scale for a wide range of these patients, and on the other hand, it could reduce the educational inequalities and provide education for remote areas.

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Prevalence of diabetic peripheral neuropathy in Iran: a systematic review and meta-analysis

Cited by 63 publications

References 17 publications

Prevalence of sensory peripheral neuropathy in diabetic patients at diabetes care centre: a cross sectional study

Prevalence of sensory peripheral neuropathy in diabetic patients at diabetes care centre: a cross sectional study

Peripheral Sensory Neuropathy and associated factors among adult diabetes mellitus patients in Bahr Dar, Ethiopia

The Effect of Self-Care Education through Social Networks on the Patients’ Quality of Life with Type 1 Diabetes in Sanandaj City, Iran

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