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Analysis of complicating risk factors of Type 2 Diabetes Mellitus (T2DM)

Resal Raj

Department of Computational Biology& Bioinformatics, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, UP, India

E-mail : aa

Silvia Navis

School of Health Sciences, The University of Dodoma, Dodoma, Tanzania

Jasvinder Singh Bhatti

Department of Biotechnology &Bioinformatics, SGGC College, Sector 26, Chandigarh, India

Sanjay Kumar Bhadada

Department of Endocrinology, PGIMER, Chandigarh, India

Pramod W Ramteke

Department of Biological Sciences, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, UP, India

DOI: 10.15761/IOD.1000202

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Abstract

Background: Type 2 diabetes mellitus (T2DM) is a complicated disease affecting different populations and the starting age of subjects is as early as 15 years old. Since anthropometric, clinical and genetic risk factors are associated with the development of T2DM, the complications developed due to T2DM are life-threatening. Therefore, this research analyzes the complicating risk factors of T2DM.

Materials and methods: An observational study of approximately 10,000 north Indian individuals were contacted and a total of 703 subjects (351 control subjects and 352 T2DM subjects) belonging to north Indian states were recruited for the analysis of the risk factors.

Result: Very early onset of T2DM, very large undiagnosed population, high newly diagnosed T2DM subjects, independent effect of complicating risk factors etc. were the results obtained from the research.

Conclusion: Considering the complications and early onset of T2DM, despite the other diseases along with T2DM, early mortality and increased mortality due to T2DM were observed in north Indian population.

Key words

Mortality, undiagnosed population, casual approach, newly diagnosed

Introduction

Diabetes is common among almost all people [1], ages and regions of the globe due to changes in lifestyle, genetics and environmental factors which all collectively influence the disorder. T2DM appears to be due to number of different defects in insulin secretion [2], insulin’s inhibitory effect on liver glucose production [3] etc. In case of pancreatic beta cell and insulin secretion, it has been suggested that increased free fatty acids, FFA in serum could precipitate β-cell failure [4]. Short-term exposure of pancreatic islets to FFA increases insulin secretion but long-term exposure inhibits glucose-induced insulin secretion and biosynthesis and may lead to β-cell death by apoptosis [5]. Increased insulin sensitivity promotes fat deposition in adipose tissue [6]. Elevated levels of non-esterified fatty acids (NEFAs) contribute to β-cell dysfunction, β-cell loss and lipotoxicity. Formation of H2O2 in peroxisomes is responsible for NEFA-induced toxicity [7].

However, the main driver of the precipitation of T2DM is linked with changes in diet and very low physical activity, evidence from urban population [8]. Food affects the expression of genes in individuals, both diet and genes alter health of an individual because genes are regulated by diet and some diets are risk factors of T2DM [9]. Therefore, susceptibility depends on nutrient intake and environmental factors. Which may be, sleep duration and continuity [10], oxygen homeostasis [11], intake of anti-inflammatory drugs [12], intake of beverages like tea [13] physical inactivity [14] any form of stress [15] exposure to pollutants [16] etc.

Out of the risk factors, alcohol consumption, smoking and physical inactivity–induced insulin resistance in skeletal muscle [17] play a major role in the susceptibility to T2DM. There are much differences seen in insulin secretion and sensitivity and nonalcoholic fatty liver disease and T2DM in subjects with different risk factors [18]. However, new alcohol drinkers in middle age and drink rarely may experience benefit in cardiovascular disease and diabetic complication [19] whereas rare and light drinkers after increasing alcohol consumption over short period of time are associated with lower risk of T2DM [20]. Moreover, cigarette smoking and smoking cessation lead to higher short-term risk of T2DM [21].

The long term complications of T2DM are chronic complications in circulatory system that may cause blindness, lower limb gangrene and renal failure in adults. It is also a major risk factor for strokes and other cardiovascular diseases (CVD) [22]. Since T2DM is common, its related disorders such as nephropathy [23], neuropathy and retinopathy are also more common. Diabetic nephropathy is a serious complication of T2DM and the prevalence of nephropathy has been increasing worldwide [24, 25]. In subjects with CAD and T2DM, the complications lead to functional and structural vascular alterations of the peripheral vasculature [26]. Diabetic peripheral neuropathy can lead to infected ulcers and amputation of lower limbs. Huge database is available about the prevalence of diabetes neuropathy in T2DM [27] and T1DM [28]. World health organization (WHO) reports that diabetes will be the 7th leading cause of death in 2030 [29]. T2DM increases mortality approximately two-fold of the subjects and micro and macro-vascular complications are the main cause of death [30]. Apart from this, in India the overall mortality rate is higher in diabetes compared to non-diabetic subjects and the mortality rate further split into different complications (cardiovascular - 52.9%, renal causes - 23.5%, gastrointestinal - 112.1%, respiratory - 9.1%, and lifestyle related - 6.1%) [31].

Materials and Methodology

In this research, a preliminary observation of incidence of T2DM subjects of approximately 10,000 was interviewed. Apart from this, 351 control and 352 T2DM subjects from nearby locations of Chandigarh belonging to the states of Haryana, Utter Pradesh, Himachal Pradesh, Jammu Kashmir, Punjab, Delhi, Rajasthan, West Bengal etc. and resident of Chandigarh, Panchkula, Mohali, Baltana, etc. were recruited. This is because these cities/towns have resident migrated populations of these states. They were recruited at referral points /schools / hospitals etc. to administer the questionnaire for the data capture for this research. The subjects were completely analyzed using the criteria for control and T2DM subjects specified by diabetes associations. A formal brochure explaining about the research was given to each participant and a signed consent form for the involvement of research was taken. An ethical committee approval was also obtained formally from the institutional ethical committee on human studies from Post graduate institute for medical education and research (PGIMER), sector 12 Chandigarh.

Result

Prevalence of T2DM and the reaction or approach to T2DM by the nonresident Chandigarh people of northern India (reaching hospitals from rural areas of the states) were assessed by one to one personal interaction during the three years of research and the details are given below, Table 1.

Table 1. Knowledge Perception of T2DM among North Indian Population of 10,000 Subjects.

Category

 Number of Subjects* (%)

Analysis    (%)

No Knowledge of diabetes

1100 (11)

8200 (82)

Undiagnosed

2800 (28)

Diagnosed but modify lifestyle with exercise and diet

1200 (12)

Diagnosed but do not follow further (Fear of needles and tests, Youngsters)

500 (5)

Diagnosed but are casual as change in life style will cure (Youngsters)

800 (8)

Diagnosed but do not follow further (Busy, Adults)

1800 (18)

Diagnosed and follow proper schedule of medication, Adults

1800 (18)

1800 (18)

Total

 10,000 (100)

*Data shown is nearest to 100

18% of the surveyed people are on the hundred percent safe sides, taking care of diabetes medication and the rest are unsafe which may lead to the high prevalence of T2DM. To project the observation, a graph is drawn, Figure 1.

Figure 1. Knowledge perception of T2DM in north India.

Demographic and Socioeconomic characteristics

The demographic and the T2DM associated socioeconomic (religion, cooking media, sex and age) characteristics of all subjects are summarized in the following, Table 2.

Table 2. Religion, Cooking Media, Sex and Age of north Indian population.

 

Control (%)

T2DM (%)

        

Religion

Analysis

Christian

21 (6)

10 (3)

T2DM in Hindu community is 39% but in Sikh community, it is 66%.

Hindu

233 (66)

151 (43)

Muslims

2 (1)

3 (1)

Sikh

95 (27)

188 (54)

Total

351 (100)

352 (100)

Cooking Media

Refind Oil

32 (9)

109 (30)

Mixed oil reduces risk of T2DM

Dalda/Sarson

22 (6)

51 (15)

Mixed

297 (85)

192(55)

Total

351 (100)

352 (100)

Sex

Male

144 (41)

187 (53)

56% of Males is T2DM and 44% of the Females are T2DM

Female

207 (59)

165 (47)

Total

351 (100)

352 (100)

Age (Years)

20 – 29

37 (10)

17 (5)

In control, maximum age group is 30 – 49 and in T2DM, it is 40 – 69.

30 - 39

141 (40)

51 (15)

40 - 49

109 (31)

78 (22)

50 - 59

43 (12)

84 (24)

60 - 69

15 (5)

71 (20)

70 - 79

6 (2)

44 (12)

80 - 89

0

7 (2)

Total

351 (100)

352 (100)

Mean

42.4

55.62

Male and female are more are less matched and use of mixed oil reduces the risk of T2DM.

Details of year of onset, duration of onset of T2DM and Medication

The year of onset, duration of onset and medication are tabled which shows that T2DM develops very early year of life span. The duration of onset below 5 years is very high, 64% and more than 20 years is very low only 2% of the population recruited. The medication is also surprising that total of 57% of the recruited population take medication and rest are not, Table 3.

Table 3. Year of onset, duration of onset of T2DM and Medication.

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T2DM (%)

Analysis

Year of Onset

20 – 40 Years

114 (32)

7% of the subjects are diseased after 70 years of age.

41 - 55 Years

152 (43)

56 - 70 Years

63 (18)

> 70 Years

23 (7)

Total

352 (100)

 

Duration of Onset

        Analysis

 

2% of the diseased subjects are living more than 20 years. Therefore, Evidence of early mortality.

< 5 years

227 (64)

5 - 10 Years

81 (23)

11 - 15 years

27 (8)

16 - 20 Years

10 (3)

>20 Years

7 (2)

Total

352 (100)

Medication

Analysis

Insulin Injection

21 (6)

The remaining 43% of the T2DM subjects have given medication Nil.

Oral Medicine

180 (51)

Total

176 (57)

Smoking, Drinking, Hypertension, CHD, Heredity and Physical Activity

These risk factors are independent and are involved in the susceptibility to T2DM separately or collectively. The result shows 49% of T2DM subjects have hypertension and it is an interlinked factor to the susceptibility of T2DM, Table 4.

Table 4. Smoking, Drinking, Hypertension, CHD and Heredity.

 

Control (%)

T2DM (%)

Analysis

Smoking

25(7)

11(3)

T2DM subjects have

High % of hypertension (49%)

Drinking

53(15)

60(17)

Hypertension

39(11)

173(49)

CHD

11(3)

46(13)

Heredity

 Analysis

Parents affected

7(2)

79(23)

23% have hereditary risk factors.

 

Details of complications

While collecting the data, all the complications were analyzed such as retinopathy and cataract due to T2DM, neuropathy, amputation and diabetes foot and all were given importance due chronic effect of these factors to T2DM. Moreover, to know other diseases complicate T2DM or T2DM complicates other diseases, a historical analysis of subjects having skin disease, stroke, cancer, asthma, thyroid and Arthritis were analyzed with those who were having onset of T2DM more than 5 years, Table 5.

Table 5. Complications of T2DM Subjects.

Subjects (%)

Analysis

Retinopathy

89 (25)

Retinopathy is common among T2DM subjects.

Cataract

13 (4)

Neuropathy

73 (21)

Nephropathy

19 (5)

Amputation

0

Skin Disease

12 (3)

Stroke

4 (1)

Cancer

5 (1)

Asthma

0

Thyroid

17 (5)

Arthritis

19 (5)

Diabetes foot

14 (4)

Discussion

Chandigarh contains populations from different states of North India and 57% of the control and 61% of T2DM participants are resident of Chandigarh which is more or less equally matched (Control:T2DM). Since participants are mostly from Chandigarh, there is a possibility of mixing of different traits from different states. Baltana is very close to Chandigarh and also contains immigrant population from Uttarakhand, Jharkhand, Himachal and Punjab apart from the people of Haryana. Moreover, Panchkula and Mohali, both contain people from Haryana, Jammu and Kashmir, Rajasthan, Gujarat etc. Therefore, this research has representation of subjects from all states of North India.

Socioeconomic factors and T2DM

There are changes in dietary characteristics with religion. Some religious sectors are non-vegetarians and rest is vegetarians. Few vegetarians do not use garlic, onion etc. In a random selection, this result shows the prevalence of T2DM is less in Hindu subjects (39%) than Sikh subjects (66%) as per the total recruitment of 384 (Hindu) and 283 (Sikh) subjects. This may be due to the use of deshi ghee, butter and different sweets which have rich glucose in their daily diet. This study is supported by [32] that the Sikh subjects below 40 years old weigh as old as above 40 years which surely will lead to high prevalence of the subjects.

Food affects individuals, T2DM is mainly due to dietary imbalance (taking more saturated fatty acids) [33]. The complicating risk factor, media for cooking was undertaken and found that 85% of the subjects of control used mixed oil (Olive, refined oil, dalda, sarson, Deshi Ghee etc., change periodically) and only 55% of T2DM subjects used mixed oil, that is more saturated fatty oil [34]. This gives a close idea that by changing the cooking oil periodically, T2DM subjects may be benefited, though cooking medium alone is not the entire diet.

Sex plays very important role in diabetes due to hormonal changes [35]. This data has more or less equally matched Male and female subjects. This data gives information about male T2DM subjects that they are more susceptible to T2DM than females. Out of 331 male subjects from both control and T2DM, 56% of them are T2DM subjects whereas out of 372 female subjects from control and T2DM, only 44% of them are T2DM subjects. This research is similar to this study [36] but against other study [37].

The age group of all participants range from 20 to 89 years and potential control participants are 30–49 years (71%) and T2DM participants are 40–69 years (66%). This is similar to study on Asian Indians that the onset of T2DM in Asian Indians is earlier than other ethnic groups because 40–69 is considered to be potential age group for normal activities. Therefore, early onset of T2DM is observed in north Indian population and this is similar to other studies also [38].

Early onset of T2DM

The table 3 further highlights the duration of onset of T2DM and 64% of the T2DM subjects are below 5 years of onset. Only 2% of the T2DM subjects have duration of T2DM more than 20 years. Due to the early age of onset of T2DM and only 2% of T2DM subjects have duration of onset of T2DM more than 20 years, we found in this data only 7% of T2DM subjects have more than 70 years of life which reflects in the high mortality rate of T2DM subjects. Moreover, the high mortality rate may be due to the casual approach to T2DM which is evident from the medication data, only 57% of the T2DM subjects have followed the proper medication (table 3, insulin injection 6% and Oral Medicine 51%) schedule, table 1 and a huge undiagnosed population. This study is in agreement with other studies [39] also.

The complicating risk factors such as Smoking and drinking and the allied complication/disorders such as Coronary Heart Diseases (CHD), hypertension etc. adds to the complications of T2DM, table 4. Although, drinking and smoking have been observed less, hypertension is significantly observed in this research however, 23% of T2DM subjects have genetic origin also, table 4. All aspects of complications have been analyzed in this research, table 5 with dominant as retinopathy as in other studies [38]. As in this research and other studies, the adjoining areas of the city have migrated people from villages and also have the risk of developing T2DM. The complications due to the changes in life style [40] to them is also in par with the city life style.

Development of early complications

The age of onset of T2DM in North Indian population is not clearly predictable due to the lack of regular checkups and until the symptoms, T2DM remains undiagnosed for a period of 3 years to 10 years [41] and all of a sudden, all these undiagnosed turn to be chronic diabetic patients [42] with abnormal glucose level etc. [43]. As per this data, T2DM subjects are in the productive age (40 -- 69 years) which is an early stage of onset as compared to other ethnic groups (Approximately 10 years younger in Indians compared with Chinese and Japanese subjects) [43,44]. However, it is consistent with the Asian Phenotype. This result is similar to The National Diabetes Urban Survey (NUDS) conducted in India in 2000 which showed that more than 50% of diabetic cases developed T2DM before the age of 50 years [40]. Since the onset of T2DM is very early compared to other ethnic groups, complications and chronic risks of T2DM are set at an early years, cardiovascular risk [45-47], ischemic heart disease and neuropathy [46], other risks related with early onset of T2DM [48], obesity [49], clinical risk factor [50] agreement with many factors [51] etc. and therefore, mortality rate increases due to T2DM. Another reason is that the media of cooking which increases the body mass index, waist hip ratio and waist circumference, [52-54] lead to obesity, as a result, many other complications get triggered off. The next reason is the hypertension due to high blood pressure as in this research and others [55,56] and the related cardiovascular diseases.

Conclusion

High prevalence of T2DM is observed in North Indian Population due to early onset of T2DM because of the casual approach to T2DM by the population. T2DM subjects living for high duration (many years) is less due to early onset of complications. Therefore, early mortality and increased mortality due to T2DM (without considering correlated diseases and risk factors) is observed in North Indian Population.

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Editorial Information

Editor-in-Chief

Katsunori Nonogaki

Article Type

Research Article

Publication History

Received: March 02, 2018
Accepted: March 19, 2018
Published: March 26, 2018

Copyright

©2018 Raj R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation

Raj R (2018) Analysis of complicating risk factors for Type 2 Diabetes Mellitus (T2DM). Integr Obesity Diabetes 4: DOI: 10.15761/IOD.1000202

Corresponding author

Resal Raj

Department of Computational Biology& Bioinformatics, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad, UP, India, Tel: +919783599073

Table 1. Knowledge Perception of T2DM among North Indian Population of 10,000 Subjects.

Category

 Number of Subjects* (%)

Analysis    (%)

No Knowledge of diabetes

1100 (11)

8200 (82)

Undiagnosed

2800 (28)

Diagnosed but modify lifestyle with exercise and diet

1200 (12)

Diagnosed but do not follow further (Fear of needles and tests, Youngsters)

500 (5)

Diagnosed but are casual as change in life style will cure (Youngsters)

800 (8)

Diagnosed but do not follow further (Busy, Adults)

1800 (18)

Diagnosed and follow proper schedule of medication, Adults

1800 (18)

1800 (18)

Total

 10,000 (100)

*Data shown is nearest to 100

Table 2. Religion, Cooking Media, Sex and Age of north Indian population.

 

Control (%)

T2DM (%)

        

Religion

Analysis

Christian

21 (6)

10 (3)

T2DM in Hindu community is 39% but in Sikh community, it is 66%.

Hindu

233 (66)

151 (43)

Muslims

2 (1)

3 (1)

Sikh

95 (27)

188 (54)

Total

351 (100)

352 (100)

Cooking Media

Refind Oil

32 (9)

109 (30)

Mixed oil reduces risk of T2DM

Dalda/Sarson

22 (6)

51 (15)

Mixed

297 (85)

192(55)

Total

351 (100)

352 (100)

Sex

Male

144 (41)

187 (53)

56% of Males is T2DM and 44% of the Females are T2DM

Female

207 (59)

165 (47)

Total

351 (100)

352 (100)

Age (Years)

20 – 29

37 (10)

17 (5)

In control, maximum age group is 30 – 49 and in T2DM, it is 40 – 69.

30 - 39

141 (40)

51 (15)

40 - 49

109 (31)

78 (22)

50 - 59

43 (12)

84 (24)

60 - 69

15 (5)

71 (20)

70 - 79

6 (2)

44 (12)

80 - 89

0

7 (2)

Total

351 (100)

352 (100)

Mean

42.4

55.62

Male and female are more are less matched and use of mixed oil reduces the risk of T2DM.

Table 3. Year of onset, duration of onset of T2DM and Medication.

 

T2DM (%)

Analysis

Year of Onset

20 – 40 Years

114 (32)

7% of the subjects are diseased after 70 years of age.

41 - 55 Years

152 (43)

56 - 70 Years

63 (18)

> 70 Years

23 (7)

Total

352 (100)

 

Duration of Onset

        Analysis

 

2% of the diseased subjects are living more than 20 years. Therefore, Evidence of early mortality.

< 5 years

227 (64)

5 - 10 Years

81 (23)

11 - 15 years

27 (8)

16 - 20 Years

10 (3)

>20 Years

7 (2)

Total

352 (100)

Medication

Analysis

Insulin Injection

21 (6)

The remaining 43% of the T2DM subjects have given medication Nil.

Oral Medicine

180 (51)

Total

176 (57)

Table 4. Smoking, Drinking, Hypertension, CHD and Heredity.

 

Control (%)

T2DM (%)

Analysis

Smoking

25(7)

11(3)

T2DM subjects have

High % of hypertension (49%)

Drinking

53(15)

60(17)

Hypertension

39(11)

173(49)

CHD

11(3)

46(13)

Heredity

 Analysis

Parents affected

7(2)

79(23)

23% have hereditary risk factors.

 

Table 5. Complications of T2DM Subjects.

Subjects (%)

Analysis

Retinopathy

89 (25)

Retinopathy is common among T2DM subjects.

Cataract

13 (4)

Neuropathy

73 (21)

Nephropathy

19 (5)

Amputation

0

Skin Disease

12 (3)

Stroke

4 (1)

Cancer

5 (1)

Asthma

0

Thyroid

17 (5)

Arthritis

19 (5)

Diabetes foot

14 (4)

Figure 1. Knowledge perception of T2DM in north India.