Authors summary
Why was this study done?
To analyze the prevalence of diabetic foot and related risk factors in the diabetic population, in Espírito Santo State, in Brazil.
What did the researchers do and find?
A Cross-sectional, descriptive study with time series design, using secondary data was done. The prevalence of foot ulcers affects 4% to 10% of people with DM. About 40% to 60% of non-traumatic lower limb amputations occur in these patients and 85% of them are preceded by foot ulcers. Being male, older than 60 years, smoker, with sedentary lifestyle, acute myocardial infarction, stroke and chronic kidney disease were considered risk factors for diabetic foot. Overweight in both types of Diabetes, as well as sedentary lifestyle and stroke in type 1 Diabetes were not associated to diabetic foot.
What do these findings mean?
Knowing the risk factors for diabetic foot can guide health care to prevent this condition in diabetic patients in treatment.
Highlights
To analyze the prevalence of diabetic foot and related risk factors in the diabetic population, in Espírito Santo State, in Brazil, a Cross-sectional, descriptive study with time series design, using secondary data was done. Being males, older than 60 years, smoker, with sedentary lifestyle, acute myocardial infarction, stroke and chronic kidney disease were considered risk factors for diabetic foot. Overweight in both types of Diabetes, as well as sedentary lifestyle and stroke in type 1 Diabetes were not associated to diabetic foot.
INTRODUCTION
In 2017, the prevalence of Diabetes Mellitus (DM) was estimated at 8.8% of the world population aged 20 to 79 years, totaling approximately 425 million people, with a tendency of 9.9% for the year 2045 and may reach 628.6 million citizens worldwide. It has stood out among the most growing and important public health problems, being among the top ten causes of death worldwide1 .
Persistent hyperglycemia results in tissue damage and complications in the kidneys, eyes, nerves and peripheral vascular system are common. The main complications of DM are diabetic retinopathy, diabetic neuropathy, nephropathy, peripheral arterial disease, coronary heart disease, cerebrovascular disease, and diabetic foot syndrome2 .
Within the group of complications of DM involving the cardiovascular system, hypertension is highlighted, which occurs as a result of changes in autonomic function and the damage that DM causes in the organs, leading diabetic patients to present greater variability of blood pressure and a difficulty in reducing nocturnal blood pressure values3 .
Among the changes, diabetic foot ulcers and associated amputations are the most common complications, producing disability and increasing care costs4 , 5 .
The term diabetic foot (DF) refers to any foot injury in people with DM, such as infection, ulcer, tissue destruction, which appears as a result of disease complications6 . It is the leading cause of non-traumatic amputations in Western countries, which can cause death or physical and mental disability, negatively affecting quality of life and representing a high cost to society7 , 8 .
The development of DF is directly related to the duration of DM and consequently with age, therefore, delayed diagnosis and initiation of appropriate treatment increases the occurrence of complications and eventually amputations9 .
It is estimated that approximately 15% of DM patients will have lifelong lower extremity ulcers and between 17 and 20% of them will have some type of amputation10 .
The prevalence of foot ulcers affects 4% to 10% of people with DM. About 40% to 60% of non-traumatic lower limb amputations occur in these patients and 85% of them are preceded by foot ulcers9 , 11 .
From this perspective, it becomes evident the need for commitment by government leaders and health managers to create mechanisms that minimize the onset, as well as the aggravation of DM2 .
These efforts should be directed to both the reorganization of care for people with DM and the provision of necessary inputs for disease management, in order to reduce the costs arising from early non-detection and complications related to lack of metabolic control12 .
In Brazil, Primary Health Care follows the principles of universality, accessibility, bond, continuity of care, comprehensive care, accountability, humanization, equity and social participation. We highlight the care model of the Family Health Strategy (FHS), which is based on the work of multiprofessional teams. The service is focused on local reality and the needs of the population, with the main objective of bringing families closer to the health service, facilitating access and strengthening bond13 .
Gathering data on DM complications can attract the attention of public authorities, enabling effective and rapid action, focused at the local level, with expanded potential, to focus efforts on the worst conditions identified. This favors the rationalization of resources for high, medium and low complexity in health care. With this knowledge, measures can be rationally chosen to face the problems in professional practice, increasing the chances of their resolution.
Based on previous statements , the present study aimed to analyze the prevalence of DF and related risk factors in the diabetic population residing in Espírito Santo State, Brazil.
METHODS
Study Design
This is a descriptive cross-sectional study14 , using a time series design and the use of secondary data on the morbidity of individuals with diabetes and DF living in the State of Espírito Santo, Brazil, registered and followed by the Hypertensive Registration and Monitoring Diabetics System (SIS-Hiperdia).
Study Location and Period
Data were collected by place of residence of individuals registered in the system. The unit of analysis selected for this study was the State of Espírito Santo. The data corresponded to the period between 2003 and 2012.
Study Population, Inclusion and Exclusion Criteria
All individuals with type 1 DM, type 2 DM and DM with concomitant arterial hypertension, residing in the state of Espírito Santo, registered and followed by the SIS-Hiperdia, notified and included with PD and DM amputations from 2003 to 2012
No individuals were excluded from the sample.
Individuals reported on SisHiperdia as Concomitant Hypertension Diabetics are not extratified by Type of Diabetes (Type 1 DM or Type 2 DM).
Data collection
Data were extracted from the SIS-Hiperdia, which is a program from the Department of Informatics of the Unified Health System - DATASUS, website: www.datasus.gov.br , then two independent researchers organized the data in a file of Microsoft® Office softwear spreadsheets. Excel version 15.0 to identify possible discrepancies.
An exploratory analysis was performed to recognize variables and correct possible errors or inconsistencies in data entry. Once the necessary corrections were made, the data were organized and analyzed, applying descriptive statistics.
SIS-Hiperdia is a program established by the Ministry of Health in 2002, as part of the Reorganization Plan for Arterial Hypertension and Diabetes Mellitus Care, consolidating itself as a platform for registration and monitoring of patients with hypertension and/or DM, assisted by the teams of Primary Care of the Unified Health System (SUS).
This tool generates public information with the exception of name of patient available for Ministry of Health, health professionals and managers of municipal and state departments allowing to know the epidemiological profile of hypertension and DM in the population15 .
Thorough this systemit is possible to investigate whether the population at risk is being adequately assisted, to know the demographic and epidemiological profile of the affected community, to verify the prevalence of risk factors, concomitant diseases and complications, monitor the clinical quality of care provided and know parameters of the continuous supply of medicines, as well as enable social control through information to analyze access, coverage and quality of care15 , 16 .
The data collected by the municipalities are transferred via Internet, consolidated by the Ministry of Health and made it available monthly for public access on the DATASUS website, allowing access to reports with operational, managerial and epidemiological indicators predefined by the National Coordination of the Hypertension Program and Diabetes (CNPHD). Users can also access key system database information, calculate indicators, produce charts and maps from their own fast tabs using the free Tabnet and Tabwin applications available from Datasus15 , 16 .
Data analysis
The prevalence of DF and DM amputation were calculated, stratified by type 1 DM, type 2 DM, and concomitant arterial hypertension, by sex and age group, by comorbidities and associated risk factors (smoking, sedentary lifestyle, overweight, acute myocardial infarction, stroke, Chronic Kidney Disease and DF) expressed as a percentage using the direct method.
Prevalence ratios (PR) were calculated and associations of PD and amputations with risk factors and comorbidities reported in the system were analyzed. The dependent variables (y) were DF and amputations, the independent variables (x) were sex, age, smoking, sedentary lifestyle, overweight, acute myocardial infarction (AMI), stroke, Chronic Kidney Disease (CKD) and DF. Associations were analyzed through Pearson’s chi-square test and Yates correction, using the Stata®14.0 statistical program and considering the 95% confidence level.
RESULTS
Sample and characteristics
A total of 64,196 diabetics, residentes in Espirito Santo were found registered and followed by SIS-Hiperdia, out of them 2,512 (3.9 %) were type 1 DM, 6,995 (10.9%) were type 2 DM and 54,689 (85.2%) were diabetic with hypertension. The majority of them 42,780 (66.6%), were females, 29,282 (45.6%) aged 40 to 59 years and 28.999 (45.2%) aged 60 years old and above. Table 1 illustrates the total number of individuals who composed the sample andits stratification by type of DM, sex and age group.
Table 1 : Total number of residents in Espiritu Santo, Brazil registered inSIS-HIPERDIA system, from 2003 to 2012, stratified by type of DM, sex and age.
Variables | Total | % | Type I DM* | % | Type II DM* | % | DM* w/ hypertension | % |
---|---|---|---|---|---|---|---|---|
Sample | 64,196 | 100 | 2,512 | 3.9 | 6.995 | 10,9 | 54.689 | 85.2 |
Sex | ||||||||
Male | 21,416 | 33.4 | 1,138 | 45.3 | 2.875 | 41,1 | 17.403 | 31.8 |
Female | 42,780 | 66.6 | 1,374 | 54.7 | 4.120 | 58,9 | 37.286 | 68.2 |
Age group | ||||||||
Upto 19 | 696 | 1.1 | 391 | 15.6 | 99 | 1,4 | 206 | 0.4 |
20 to 39 | 5,219 | 8.1 | 672 | 26.8 | 995 | 14,2 | 3.552 | 6.5 |
40 to 59 | 29,282 | 45.6 | 922 | 36.7 | 3.767 | 53,9 | 24.593 | 45.0 |
60 and + | 28,999 | 45.2 | 527 | 21.0 | 2.134 | 30,5 | 26.338 | 48.2 |
Source: SIS-HIPERDIA (DATASUS), 2019.
Prevalence of Diabetic Foot
In type 1 DM, the prevalence of DF in the analyzed sample was 2.9% (n = 74). Higher rates of DF were observed in men, aged over 60 years and when was linked to smoking; sedentary lifestyle; overweight; AMI; Stroke and CKD.
On analysing the correlation between PD and associated risk factors and comorbidities it was found a statistically significant association in all analyzed variables, except for sedentary lifestyle, overweight and stroke.
Table 2 illustrates the prevalence rates of PD in type 1 DM, stratified by sex, age, risk factors and associated comorbidities.
Table 2 : Prevalence % of PD in type 1 DM population, stratified by sex, age group, smoking, sedentary lifestyle, overweight, AMI, stroke and CKD, in the state of Espírito Santo from 2003 to 2012
Variables | Yes n (P%) IC=95% | No n (P%) IC=95% | PR (IC=95%) | “p” |
---|---|---|---|---|
DF | 74 (2.9) 2.3 – 3.7 | 2,438 (97.1) 96.3 – 97.7 | ||
Sex | ||||
Male | 44 (3.9) 2.9 – 5.2 | 1,094(96.1) 94.8 – 97.1 | 1.77 (1.12 - 2.80) | 0.0180 |
Female | 30 (2.2) 1.5 – 3.1 | 1,344(97.8) 96.9 – 98.5 | ||
Age group | ||||
Upto 19 | 5 (1.3) 0.5 – 3.1 | 386 (98.7) 96.9 – 99.5 | 3.41 (1.31 - 8.90) | 0.0174 |
20 to 39 | 14 (2.1) 1.2 – 3.6 | 658 (97.9) 96.4 – 98.8 | 2.09 (1.09 - 4.03) | |
40 to59 | 32 (3.5) 2.4 – 4.9 | 890 (96.5) 95.1 – 97.6 | 1.26 (0.74 - 2.13) | |
60 and + | 23 (4.4) 2.8 – 6.6 | 504 (95.6) 93.4 – 97.2 | ||
Risk factors and comorbidities | ||||
Smoking | ||||
Yes | 17 (4.9) 3.0 – 7.8 | 332 (95.1) 92.2 – 97.0 | 1.85 (1.09 – 3.14) | 0.0339 |
No | 57 (2.6) 2.0 – 3.4 | 2,106 (97.4) 96.6 – 98.0 | ||
Sedentary life style | ||||
Yes | 33 (3.5) 2.5 – 5.0 | 907 (96.5) 95.0 – 97.5 | 1.35 (0.86 – 2.11) | 0.2410 |
No | 41 (2.6) 1.9 – 3.6 | 1,531 (97.4) 96.4 – 98.1 | ||
Overweight | ||||
Yes | 17 (3.2) 1.9 – 5.1 | 521 (96.8) 94.9 – 98.1 | 1.09 (0.64 – 1.87) | 0.8514 |
No | 57 (2.9) 2.2 – 3.8 | 1,917 (97.1) 96.2 – 97.8 | ||
AMI | ||||
Yes | 7 (10.6) 4.7 – 21.2 | 59 (89.4) 78.8 – 95.3 | 3.87 (1.85 – 8.11) | 0.0008 |
No | 67 (2.7) 2.1 – 3.5 | 2,379 (97.3) 96.5 – 97.9 | ||
Stroke | ||||
Yes | 4 (6.5) 2.1 – 16.5 | 58 (93.5) 83.5 – 97.9 | 2.26 (0.85 – 5.99) | 0.2031 |
No | 70 (2.9) 2.2 – 3.6 | 2,380 (97.1) 96.4 – 97.8 | ||
CDK | ||||
Yes | 10 (9.0) 4.6 – 16.3 | 101 (91.0) 83.7 – 95.4 | 3.38 (1.78 – 6.40) | 0.0003 |
No | 64 (2.7) 2.1 – 3.4 | 2,337 (97.3) 96.6 – 97.9 |
n – Number of individuals; P% - Pervent prevalence; IC – Confidence interval; PR – Prevalence Ratio; “p” – p value by the chi-square test of Pearson and the Yates correction. Source: SIS-HIPERDIA (DATASUS), 2019.
The prevalence of DF in the group of patients with type 2 DM was 3.3% (n = 228). Higher rates of DF were observed in men, aged over 60 years and whenwas related to smoking; sedentary lifestyle; AMI; Stroke and CKD.
Analysis of the correlation between DF and associated risk factors and comorbidities showed a statistically significant association in all variables, except overweight.
The prevalence rates of DF in type 2 DM, stratified by sex, age, risk factors and associated comorbidities are presented in Table 3 .
Table 3 : Prevalence % of DFin type 2 DM population, stratified by sex, age group, smoking, sedentary lifestyle, overweight, AMI, stroke and CKD, in the state of Espírito Santo from 2003 to 2012
Variables | Yes n (P%) IC=95% | No n (P%) IC=95% | PR (IC=95%) | “p” |
---|---|---|---|---|
DF | 228 (3.3) 2.9 – 3.7 | 6,767 (96.7) 96.3 – 97.1 | ||
Sex | ||||
Male | 110(3.8) 3.2 – 4.6 | 2,765 (96.2) 95.4 – 96.8 | 1.34 (1.03 – 1.72) | 0.0307 |
Female | 118(2.9) 2.4 – 3.4 | 4,002 (97.1) 96.6 – 97.6 | ||
Age group | ||||
Upto 19 | 4 (4.0) 1.3 – 10.6 | 95 (96.0) 89.4 – 98.7 | 1.11(0.42–2.97) | < 0.0001 |
20 to 39 | 20 (2.0) 1.3 – 3.1 | 975 (98.0) 96.9 – 98.7 | 2.24(1.39 –3.60) | |
40 to 59 | 108 (2.9) 2.4 – 3.5 | 3,659 (97.1) 96.5 – 97.6 | 1.57(1.2–2.05) | |
60 and + | 96 (4.5) 3.7 – 5.5 | 2,038 (95.5) 94.5 – 96.3 | ||
Risk factors and comorbidities | ||||
Smoking | ||||
Yes | 48 (4.3) 3.2 – 5.7 | 1,075 (95.7) 94.3 – 96.8 | 1.39 (1.02 – 1.9) | 0.0457 |
No | 180 (3.1) 2.6 – 3.5 | 2,106 (96.9) 96.5 – 97.4 | ||
Sedentary lifestyle | ||||
Yes | 133 (3.9) 3.3 – 4.6 | 907 (96.1) 95.4 – 96.7 | 1.48 (1.14 – 1.92) | 0.0036 |
No | 95 (2.6) 2.2 – 3.2 | 1,531 (97.4) 96.8 – 97.8 | ||
Overweight | ||||
Yes | 75 (2.8) 2.2 – 3.5 | 2.648 (97.2) 96.5 – 97.8 | 0.77 (0.59 – 1.01) | 0.0672 |
No | 153 (3.6) 3.1 – 4.2 | 4,119 (96.4) 95.8 – 96.9 | ||
AMI | ||||
Yes | 25 (16.1) 10.9 – 23.1 | 130 (83.9) 76.9 – 89.1 | 5.43 (3.70 – 7.98) | < 0.0001 |
No | 203 (3.0) 2.6 – 3.4 | 6,637 (97.0) 96.6 – 97.4 | ||
Stroke | ||||
Yes | 19 (12.5) 7.9 – 19.1 | 133 (87.5) 80.9 – 92.1 | 4.09 (2.63 – 6.36) | < 0.0001 |
No | 209 (3.1) 2.7 – 3.5 | 6,634 (97.1) 96.5– 97.3 | ||
CKD | ||||
Yes | 38 (13.0) 9.5 – 17.5 | 254 (87.0) 82.5 – 90.5 | 4.59 (3.31 – 6.37) | < 0.0001 |
No | 190 (2.8) 2.5 – 3.3 | 6,513 (97.2) 96.7 – 97.5 |
n – Number of individuals; P% - Pervent prevalence; IC – Confidence interval; RP – Prevalence Ratio; “p” – p value by the chi-square test of Pearson and the Yates correction. Source: SIS-HIPERDIA (DATASUS), 2019.
In DM with hypertension, the prevalence of DF in the sample analyzed was 4.5% (n = 2,480). Higher rates of DF were observed in men, aged up to 19 years and when was conneted to smoking; sedentary lifestyle; AMI; Stroke and CKD.
Analysis of the correlation between DF and associated risk factors and comorbidities evidenced a statistically significant association in all variables, except overweight.
Table 4 indicates the prevalence rates of DF in DM with hypertension, stratified by sex, age, risk factors and associated comorbidities.
Table 4 : Prevalence % of DF in the DM population with hypertension, stratified by sex, age group, smoking, sedentary lifestyle, overweight, acute myocardial infarction, stroke and chronic kidney disease, in the state of Espírito Santo from 2003 to 2012
Variables | Yes n (P%) IC=95% | No n (P%) IC=95% | PR (IC=95%) | “p” |
---|---|---|---|---|
DF | 2,480 (4.5) 4.4 – 4.7 | 52,209 (95.4) 95.3 – 95.6 | ||
Sex | ||||
Male | 901(5.2) 4.9 – 5.5 | 16,502 (94.8) 94.5 – 95.1 | 1.22 (1.13 – 1.32) | < 0.0001 |
Female | 1,579(4.2) 4.0 – 4.4 | 35,707 (95.8) 95.6 – 96.0 | ||
Age group | ||||
Upto 19 | 13 (6.3) 3.5 – 10.8 | 193 (93.7) 89.24 – 96.5 | < 0.0001 | |
20 to 39 | 166 (4.7) 4.0 – 5.4 | 3,386 (95.3) 94.6 – 96.0 | 1.35(0.78–2.33) | |
40 to 59 | 1,092 (4.4) 4.2 – 4.7 | 23,501 (95.6) 95.3 – 95.8 | 1.42(0.84–2.41) | |
60 and + | 1,209 (4.6) 4.3 – 4.9 | 25,129 (95.4) 95.1 – 95.7 | 1.37(0.81–2.33) | |
Risk factors and comorbidities | ||||
Smoking | ||||
Yes | 670 (7.6) 7.1 – 8.2 | 8,156 (92.4) 91.8 – 92.9 | 1.92 (1.77 – 2.10) | < 0.0001 |
No | 1,810 (3.9) 3.8 – 4.1 | 44,053 (96.1) 95.9 – 96.2 | ||
Sedentary lifestyle | ||||
Yes | 1,360 (4.8) 4.6 – 5.1 | 26,790 (95.2) 94.9 – 95.4 | 1.14 (1.06 – 1.24) | 0.0006 |
No | 1,120 (4.2) 4.0 – 4.5 | 25,419 (95.8) 95.5 – 96.0 | ||
Overweight | ||||
Yes | 1,224 (4.4) 4.2 – 4.6 | 26,612 (95.6) 95.4 – 95.8 | 0.94 (0.87 – 1.02) | 0.1203 |
No | 1,256 (4.7) 4.4 – 4.9 | 25,597 (95.3) 95.1 – 95.6 | ||
AMI | ||||
Yes | 626 (11.5) 10.7 – 12.4 | 4,821 (88.5) 87.6 – 89.3 | 3.05 (2.80 – 3.33) | < 0.0001 |
No | 1,854 (3.8) 3.6 – 3.9 | 47,388 (96.2) 96.1 – 96.4 | ||
Sroke | ||||
Yes | 598 (11.3) 10.4 – 12.1 | 4,715 (88.7) 87.9 – 89.6 | 2.95 (2.71 – 3.22) | < 0.0001 |
No | 1,882 (3.8) 3.6 – 4.0 | 47,494 (96.2) 96.0– 96.4 | ||
CKD | ||||
Yes | 600 (12.9) 12.0 – 13.9 | 4,046 (87.1) 86.1 – 88.0 | 3.44 (3.15 – 3.75) | < 0.0001 |
No | 1,880 (3.8) 3.6 – 3.9 | 48,163 (96.2) 96.1 – 96.4 |
n – Number of individuals; P% - Pervent prevalence; IC – Confidence interval; RP – Prevalence Ratio; “p” – p value by the chi-square test of Pearson and the Yates correction. Source: SIS-HIPERDIA (DATASUS), 2019.
DISCUSSION
Our findings showed that, in the State of Espírito Santo, Brazil, the prevalence of DF were higher in type 2 DM n = 228 (3.3%), and even higher in DM coexistence and hypertension n = 2,480 (4.5%). These numbers converge with results of a recent systematic meta-analysis review on prevalence of DF, in which DF lesions were also more prevalent in type 2 DM patients (6.4%) than in patients with type 1 DM (5; 5%) and high prevalence of hypertension (63.4%) in the population studied17 .
German researchers also observed a higher prevalence of DF in the type 2 DM population (13.7%) compared with type 1 DM (5.1%) and correlation with hypertension in both samples, in a retrospective cohort study with a total of 899 patients with DM type 1 and 4,007 with type 2 DM18 . A study carried out in Brazil, a much higher prevalence was estimated in the population of Recife city with 9% among individuals with type 2 DM (n = 1,374 - 95% CI)19 .
In Romania, when approaching 126 patients with type 1 DM and 142 with type 2 DM, a prevalence of peripheral neuropathy was found in 28.7% of patients with type 1 DM and 50.7% of those with type 2 DM, demonstrating a higher risk of PD syndrome in patients with type 2 DM20 .Peripheral neuropathy is an important triggering factor for foot injuries in people with DM1 .
In type 1 diabetics, the lower prevalence of DF may be justified by good glycemic control related to intensive insulin use, slowing the chain of pathophysiological events of microvascular complications, being associated with an improvement in skin microcirculation and a lower incidence of ischemic foot ulcers21 . The higher prevalence among people with DM associated with hypertension may be justified by the fact that hypertension contributes significantly to microvascular disease in DM, responsible for the pathophysiological changes that determine DF22 .
When analyzing the literature, it is observed that the prevalence of DF in the state of Espirito Santo is below the national average, which may be correlated with low notification of cases, since the detection of this condition is directly related to the foot examination, however, this analysis was not the object of this research. In 2013, the National Health Survey showed that in the state of Espírito Santo the proportion of diabetics who never had their feet clinicallyexamined was higher (58.64%) than those who had23 .
A study conducted in Spain with 443 type 2 diabetic patients followed by primary care services showed that only 37% had their feet examined24 .In another study, South African researchers demonstrated that only 22.2% of 200 type 2 diabetics reported having their feet examined before developing foot problems25 .
Regarding the variable gender, the highest prevalence of DF was observed in males in both types of DM. In DM type 1 n = 44 (3.9%) RP = 1.77 p = 0.0180 (CI = 95%), DM type 2 n = 110 (3.8%) RP = 1.34p = 0.0307 (CI = 95 %) and DM with hypertension n = 901 (5.2%) RP = 1.22 p = <0.0001 (CI = 95%). The results converge with the EURODIALE study, which shows that males are at higher risk of developing DF as well as have a higher frequency of foot injuries26 .
A cross-sectional study of 1,515 people with type 2 DM, aged over 40 years, in southern Brazil also showed that risk of DF was more frequent among men n = 97 (17.3%) than in women n = 108 (11.3%)27 . In Pernambuco, Brazil, a survey conducted with 1,374 people with type II DM also evidenced a higher prevalence of DF in males n = 410 (9.8%) than females n = 963 (8.6%) with PR. = 1.1319.However, a slightly higher prevalence in females (51.46%) was observed in the Brazilian population, as revealed by the National Health Survey23 .
The higher prevalence of DF in men has been associated with the fact that men tend to be more careless about their own health care, and more reluctant to seek medical attention and follow preventive recommendations28 , 29 .
Higher DF prevalence by age group was observed among individuals aged 60 years and older in type 1 DM n = 23 (4.4%) PR = 3.41, 2.09 and 1.26 p = 0.0174 and in type 2 DM n = 96 (4.5%) PR = 2.24, 1.57 and 1.11 p <0.001 and up to 19 years in patients with DM and hypertension n = 13 (6.3%) RP = 1.42, 1, 37 and 1,35 p <0.001. Complications and self-care deficit are known to appear with aging people living with DM. Predominantly after 40 years of age, macrovascular and microvascular complications are more frequent, and may affect the retina, renal glomerulus, and peripheral nerves, further compromising the practice of foot self-care30 .
The data are also compatible with the worldwide prevalence of mean age from 56.1 to 61.7 years17 . Data from the National Health Survey are alike with our findings indicating in Brazil a higher prevalence of wounds or PD ulcers in the age group above 60 years23 .
Our researched population showed a higher prevalence of DF in hypertensive diabetics under the age of 19 years. This fact suggests that hypertension may be associated with the higher rate of progression of microvascular and macrovascular complications of DM in the young population with associated DM and hypertension, however this analysis was not the focus of our study. Other studies have shown an association between DF and hypertension in individuals older than 40 years20 , 31 , 32 , 33 .Association of hypertension with increased risk of microvascular and macrovascular complications, and increased cardiovascular risk in DM has also been demonstrated34 , 22 , 35 .
Higher DF prevalence was observed when associated with smoking, physical inactivity, AMI, stroke and CKD in type 1 DM, type 2 DM and hypertensive DM. In overweight individuals, the prevalence of DF was higher only in type 1 DM.
Analysis of the correlation between PD and associated risk factors and comorbidities showed a statistically significant association in all variables except overweight, sedentary lifestyle and stroke in type 1 DM, and overweight in type 2 DM and in DM with hypertension.
Diabetes Care in General Practice study demonstrated an association of smoking, physical inactivity, AMI and stroke with a higher occurrence of DF both at the time of diagnosis as well as six years after36 . In Germany, a higher prevalence of DF was associated with smoking, CKD and hypertension in both type 1 and type 2 diabetics18.
In southern Brazil, a higher risk for DF was observed in patients with a history of AMI n = 17 (18.1%) and stroke n = 12 (12.8%). They also presented higher risk of hypertension n = 62 (66%) and smoking n = 12 (12.8%), however without significant statistical correlation37 .
In Canada, an analysis of 2,040 adults with type 2 DM showed a prevalence of DF in 5.58% of the sample, and predictors of DF injuries were smoking, heart disease, and stroke (<0.001) in both neuropathy and in vasculopathy38 .
Tobacco is related to the development of type 2 DM as a triggering or aggravating factor due to its effects on cortisol concentrations, inflammatory markers, oxidative stress, insulin resistance and an increase in fasting glucose, thus favoring vascular and neuropathic complications39 , 40 .
Sedentary lifestyle and smoking were associated with higher cardiovascular risk41 . Several studies relate sedentary lifestyle to increased insulin resistance, favoring increased glycemic rates with pathophysiological repercussions on diabetic neuropathy and on micro and macrovascular changes42 .
Patients with mild to moderate CKD are at higher risk for DF and amputations43 . Higher morbidity and mortality related to coronary and cerebrovascular diseases were also associated, which justifies the findings of this research44 .
The pathophysiological mechanism of peripheral neuropathy is directly related to hyperglycemia caused by poor control of DM, which leads to a disturbance in the peripheral nervous system through the activation of metabolic, biochemical and inflammatory pathways, mediated by the immune system, damaging the nerve fibers45 , 46 .
This same process is also related to neuropathic dysfunctions that directly affect the autonomic nerves. It is important to recognize the presence of diabetic autonomic neuropathy in patients because of its impact not only on morbidity but also on mortality. Specifically, the presence of cardiac autonomic neuropathy is associated with an increased risk of mortality. These may be related to cardiac arrhythmias, silent ischemia, and increased risk of AMI47 .
Given the factors that directly affect the development of DF, we realize the need that individuals with diabetes should have to maintain self-care and also the importance of the multidisciplinary team to ensure quality of life of these patients, advising on the disease and its risks48 .
Another research demonstrated the importance of a new look at the work processes, aiming at the individual’s health instead of just looking at the disease49 . In addition, it is essential to carry out educational methods with patients to improve health promotion and education practices, these practices are fundamental for the delivery of services and assistance to individuals with chronic diseases, ensuring the change in the care model50 , 51 .
The results show a significant prevalence of DF in the state of Espírito Santo, requiring constant monitoring and periodic review of strategies for the implementation of public policies for coping with the disease.
It is noticed that the diabetic population is in permanent threat to have complications associated to the disease and that the adoption of effective public policies are essential to control the risk factors related to the pathophysiological development of DF and eventual amputation.
Ensuring comprehensive care, self-care education, androutine feet examination of diabetic people, especially at the primary level of health care, by family health teams can promote the reduction of DF prevalence and consequently improve the quality of life of people with DM.
As a limitation of this study, we highlight the low notification of DF in the researched database, however, this can be a warning to the public power on the need to implement health policies capable of encouraging the routine assessment of diabetic feet by health professionals.
CONCLUSION
Important prevalence rates of DF in Espitiro Santo State was observed, especially, in men of 60 years and older.
Higher prevalences were observed in individuals with smoking, physical inactivity, AMI, stroke and CKD in type 1 DM, type 2 DM and DM with hypertension. In overweight individuals, the prevalence of DF was higher only in type 1 DM.
Analysis of the correlation between DF and associated risk factors and comorbidities showed a statistically significant association in all studied variables, except overweight in type 1 DM, type 2 DM and DM with hypertension, and sedentary lifestyle and stroke in type 1 DM.