• Address:

    2803 Philadelphia Pike B
    # 4081 Claymont, DE 19703

  • Mail us:

    support@pragmajournals.org

  • Submit

Journal of Clinical Diabetes and Obesity (JCDO)

Impacts of Socioeconomic Variables on Prevalence and Duration of Diabetes in Bangladeshi Adults

Review Article

Authors

Bhuyan KC1,*

1Professor (Retired) of Statistics, Jahangirnagar University, Dhaka, Bangladesh

+ Show More - Show Less

Corresponding Authors

Bhuyan KC

E-mail: kcbhuyan2002@yahoo.com

Received : December 06, 2020
Published : January 12, 2021

Citation

Bhuyan KC. “Impacts of Socioeconomic Variables on Prevalence and Duration of Diabetes in Bangladeshi Adults”. Doi: 10.47755/J Clin Diabetes Obes.2020.1.002

Copyright

© 2020 Bhuyan KC. 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.

ABSTRACT

The analysis presented here was to identify some responsible variables for the prevalence of diabetes for different duration in Bangladeshi adults. For this, 995 adults of ages 18 years and above whom visited different diagnostic centres in both urban and semi-urban areas were interviewed. Out of 995 respondents, 67.0% were diabetic patients and they were suffering for, on an average, 6.59 years with standard deviation of 4.06 years. The percentage of adults suffering for minimum 10 years was 17.1. The corresponding percentage was significantly higher for males (23.5%), single adults (27.5%0, elderly people (63.1%), farmers (22.1%) and business persons (20.1%), adults of families having medium income(17.9%), smokers (25.5%), adults involved in sedentary activity (23.3%), obese adults (30.3%) and hypertensive adults (64.4%).The risk of prevalence of diabetes for males was 14% more as it was for females. Similar higher risk was observed for single persons (43%), elderly people (36%), literate people (19%), businessmen ( 11%), obese adults ( 13%), smokers (10%), adults involved in sedentary activity ( 16%) and hypertensive adults ( 26%), The binary logistic regression analysis indicated that gender variation, marital status, age, occupation, body mass index, and blood pressure were the responsible variables for the prevalence of diabetes.

Introduction

Diabetes is one of the 4 groups of non-communicable diseases identified by WHO and it is the major risk factor for cardiovascular disease, vascular disorders including retinopathy, and nephropathy, peripheral vascular disease, stroke, and coronary artery disease [1-4]. Diabetes kills 1.6 million people annually and the figure will be increasing gradually [5-6]. The number of diabetic population is in increasing trend since 1980. At that time it was 108 million and it arose to 122 million in 2014. The figure will be increased up to 700 million in 2045 [7]. Sixty per cent of world diabetic population are from Asian countries [8]. The prevalence of diabetes among adults of ages 18 years and above in the world has arisen from 4.7% in 1980 to 8.5% in 2014. The upward trend of rate of increase is noted in low and middle income countries. Bangladesh is an Asian country and is moving towards middle income countries. It was reported that the prevalence of diabetes in Bangladeshi adults of ages 20- 79 years was 7.4% [9-10]. The prevalence will be 13% by 2030 [11-12]. In a separate study, the prevalence rate of diabetes among adults of some affluent families of Bangladesh was noted 43.9%. In another study conducted among some patients of urban and semi-urban areas of Bangladesh during 2016-17 27.7% diabetic patients were recorded [13]. In other studies also upward trend in rate of prevalence of diabetes was noted [14-16].

From the above discussion it is clear that diabetes is the major risk factor for different health hazards for people. Thus, obesity and diabetes are considered by WHO as epidemic worldwide [17]. In one study the biological risk factors of diabetes were discussed in detail [18]. The other risk factors were also reported in different studies in both home and abroad [19-25]. However, the problem of diabetes cannot be avoided, but its prevalence rate can be reduced if proper action plan is taken to improve the socioeconomic condition of the people. It was documented , both in home and abroad, that gender variation, family income and family expenditure, lower level of education, physical inactivity, dietary habit, sedentary activity, non-adherence in controlling high sugar level, etc. were the risk factors for obesity and hence for diabetes [26- 31]. The present work was an attempt to identify some socioeconomic variables responsible for the prevalence of diabetes in Bangladeshi adults.

Methodology

To fulfil the objective of the study the analysis was done using the data collected from 498 males and 497 females of 18 years and above, totalling 995 respondents. These adults were investigated by some nurses and medical assistants working in some objectively selected diagnostic centres located in both urban and semi-urban areas of Bangladesh. The respondents of this study maintained the national sex ratio 50.1: 49.9 of male and female population of Bangladesh [32]. The sample also covered 464 urban and 531 rural people. The data were recorded during the session 2018-19. The data on different socioeconomic variables of each investigated respondent were recorded through a pre-designed and pre-tested questionnaire containing different questions related to residence, religion, gender, marital status, age, education, occupation, family income, and family expenditure. Beside these demographic data, other information were on life-style, viz. physical work, smoking habit, consumption of process food, and involvement in sedentary activity. The information of prevalence of any of the non-communicable diseases, duration of diabetes, and the stages of treatment of the disease including cost of treatment were also recorded. Some of the socioeconomic variables were qualitative and some were quantitative in nature, but all the variables were noted in nominal scale for ease of analysis. The data of weight (in kg) divided by height (in m2 ) was used to measure the value of body mass index (BMI) to identify obese adults (if BMI ≥ 27.5; underweight, if BMI< 18.5; normal, if 18.5 ≤BMI< 23.0; overweight, if 23.0 <BMI< 27.5) [33]. They were also divided into 4 groups according to their blood pressure level (BP, mmHg). One group is of optimal (BP< 120/80), one is normal (BP< 130/85), another is high normal (BP< 140/90) and last one is hypertensive (BP ≥ 140/90) adults [34-35].

To identify the influence of the variables on prevalence of diabetes the risk ratio for diabetic patients of higher rate for a particular level of a socioeconomic variable was calculated. The association of socioeconomic variable with prevalence of different duration of diabetes was calculated. The significant association was decided if p-value of any Chi-square statistic ≤ 0.05 [P ( 2 χ2 ) ≤0.05]. Finally, binary logistic model was fitted to identify the influencing variable for prevalence of diabetes. All the statistical calculations were performed using SPSS version 25.

Result

The percentage of sample diabetic respondents was 67.0; 29.2% were suffering for less than 5 years, 20.7% were suffering for 5 to less than 10 years and another 17.1% were the diabetic patients for 10 years and above [Table 1]. The average duration of suffering was 6.59 years with standard deviation of 4.06 years. The corresponding percentages of patients among rural people (53.4%) were 52.6, 53.4 and 55.3, respectively. These percentages were not significantly different as was observed by Chi-square test, where 2 χ2=0.340 with p –value=0.952. The prevalence risk for urban and rural adults was similar [R.R. =1.01, C.I. (0.85, 1.21)]. The sample male respondents were 50.1% and 71.5% of them were diabetic patients. Among the males 27.9% were suffering for less than 5 years, 20.1% were suffering for 5 to less than 10 years and 23.5% were suffering for 10 years and above. The corresponding percentage among females was 30.6, 21.3 and 10.7, where 62.4% were female diabetic patients. The rates of prevalence of diabetes for different duration among males and females were significantly different [ 2 χ2 =30.751, p –value=0.000]. The prevalence risk for males was 14% more [R.R. =1.14, C.I. (1.04, 1.25)]. Muslim adults were 85.2% and 66.7% of them were diabetic patients as against 71.4% non-Muslim diabetic patients.

Socioeconomic variables Prevalence of diabetes including duration ( in years) Total
None < 5 5 – 10 10+ N %
N % N % N % N %
Residence                    
Rural 174 32.8 153 28.8 110 20.7 94 17.7 531 53.4
Urban 154 33.2 138 29.7 96 20.7 76 16.4 464 46.6
Total 328 33.0 291 29.2 206 20.7 170 17.1 995 100.0
Religion                    
Muslim 286 33.7 249 29.4 174 20.5 139 16.4 848 85.2
Non-Muslim 42 28.6 42 28.6 32 21.8 31 21.1 147 14.8
Gender                    
Male 142 28.5 139 27.9 100 20.1 117 23.5 498 50.1
Female 186 37.4 152 30.6 106 21.3 53 10.7 497 49.9
Marital status                    
Married 292 31.5 285 30.8 198 21.4 151 16.3 926 93.1
Single 36 52.2 6 8.7 8 11.6 19 27.5 69 6.9
Age ( in years)                    
< 25 115 58.7 75 38.3 6 3.1 0 0.0 196 19.7
25 – 40 133 33.2 169 42.1 88 21.9 11 2.7 401 40.3
40 – 50 51 25.1 40 19.7 76 37.4 36 17.7 203 20.4
50+ 29 14.9 7 3.6 36 18.5 123 63.1 195 19.6
Education                    
Illiterate 28 43.1 11 16.9 13 20.0 13 20.0 65 6.5
Primary & above 300 32.3 280 30.1 193 20.8 157 16.9 930 93.5
Occupation                    
Agriculture & unskilled labor 43 41.3 18 17.3 20 19.2 23 22.1 104 10.5
Business 64 27.4 80 34.2 43 18.4 47 20.1 234 23.5
Service 115 37.7 98 32.1 60 19.7 32 10.5 305 30.7
Housewife & Retired persons 106 30.1 95 27.0 83 23.6 68 19.3 352 35.4
 Income  ( in 000 taka)                    
< 50 115 29.6 126 32.4 80 20.6 68 17.5 389 39.1
50 – 100 147 35.0 126 30.0 72 17.1 75 17.9 420 42.2
100+ 66 35.5 39 21.0 54 29.0 27 14.5 186 18.7
Expenditure ( in 000 taka)                    
< 40 119 28.6 135 32.5 84 20.2 78 18.8 416 41.8
40 – 60 107 35.4 91 30.1 58 19.2 46 15.2 302 30.4
60+ 102 36.8 65 23.5 64 23.1 46 16.6 277 27.8
Smoking habit                    
Yes 94 28.6 75 22.8 76 23.1 84 25.5 329 33.1
No 134 35.1 216 32.4 130 19.5 86 12.9 666 66.9
Consumption of process food                    
Yes 124 34.2 90 24.8 78 21.5 71 19.6 363 36.5
No 204 32.3 201 31.8 128 20.3 99 15.7 632 63.5
Sedentary activity                    
Yes 121 27.4 112 25.3 106 24.0 103 23.3 442 44.4
No 207 37.4 179 32.4 100 18.1 67 12.1 553 55.6
Physical labor                    
Yes 136 28.3 162 33.7 93 19.3 90 18.7 481 48.3
No 192 37.4 129 25.1 113 22.0 80 15.6 514 51.7
Body mass index                    
Underweight 19 50.0 12 31.6 4 10.5 3 7.9 38 3.8
Normal 93 39.9 99 42.5 25 10.7 16 6.9 233 23.4
Overweight 135 31.8 133 31.4 96 22.6 60 14.2 424 42.6
Obese 81 27.0 47 15.7 81 27.0 91 30.3 300 30.2
Blood pressure                    
Optimal 224 41.5 203 37.6 89 16.5 24 4.4 540 54.3
Normal 72 27.1 76 27.1 77 27.5 55 19.6 280 28.1
High normal 22 19.0 8 6.9 33 28.4 53 45.7 116 11.7
Hypertensive 10 16.9 4 6.8 7 11.9 38 64.4 59 5.9

The proportions of Muslim and non-Muslim adults suffering for different periods were insignificant [ 2 χ2 = 2.741, p –value=0.432]. Non-Muslim respondents had only 8% more risk of prevalence [R.R. =1.08, C.I. (0.96, 1.21)]. The percentage of married diabetic persons (93.1%) was 68.5 and that for single adults was 47.8. Percentages of married persons suffering for less than 5 years, 5 to less than 10 years and 10 years and above were 30.8, 21.4, and 16.3, respectively. The corresponding percentages for single adults were 8.7, 11.6 and 27.5. These differentials in proportions were significant [ 2 χ2  =26.716, p –value=0.000]. Married adults had 14% more risk of prevalence [R.R. =1.14, C.I. (1.11, 1.83)]. The percentage of elderly (ages 50 years and above) diabetic patients was 85.1. The prevalence rate of diabetes was in increasing trend with the increase in age. This rate among elderly people was sharply increasing with the increase in duration diabetes. The differentials in proportions of diabetic patients of different durations were in decreasing trend for the younger adults. Significant differences were observed in proportions of diabetic patients of different durations [ 2 χ2  =521.854, p –value=0.000]. The risk of prevalence of diabetes in elderly people was 36% more compared to the risk of others [R.R. =1.36, C.I. (1.25, 1.47)]. The sample illiterate persons were only 6.5%. The prevalence of diabetes among them was 56.9%as against 67.0% overall diabetic patients in the sample. The risk of prevalence for literate adults was 19% higher compared to that of illiterate persons [R.R. =1.19, C.I. (0.96, 1.48)]. The proportion of diabetic illiterate adults suffering for 10 years and above was higher than the corresponding proportion among literate group. But literate and illiterate people suffering from diabetes for different periods were alike [ 2 χ2  = 6.131, p –value=0.105]. The sample businessmen were 23.6% and 72.6% of them were diabetic patients. A big group (20.1%) of them were suffering for 10 years and above. The chance of prevalence in businessmen was 11% more as it was in others [R.R. =1.11, C.I. (1.01, 1.22]. The diabetic patients among farmers and unskilled labours were 58.7%. But this percentage was higher (22.1%) for patients suffering for 10 years and above. The differentials in proportions of diabetic patients for adults of different professions suffering for different periods were significantly heterogeneous [ 2 χ2  =28.749, p –value=0.000]. Physical inactivity was not the risk factor for prevalence of diabetes as higher proportion ( 71.7%) of adults not involved in physical activity were diabetic patients against 62.6% diabetic adults not involved in physical activity. This difference in proportions was significant [ 2 χ2  =14.755, p – value=0.002]. This study indicated that those who were involved in physical activity they had higher risk of prevalence of diabetes [R.R. =1.14, C.I. (1.05, 1.24)]. Sedentary activity was the risk factor for prevalence of diabetes [R.R. =1.16, C.I. (1.06, 1.26)]. Among the adults 44.4% were involved in sedentary activity and 72.6% of them were diabetic patients and a big group (23.3%) of them were suffering for 10 years and above. The study indicated that sedentary activity was significantly associated with prevalence of diabetes of different durations [ 2 χ2  =33.811, p –value=0.000].

The percentage of adults from families of lowest income was 39.1 and 70.4% of them were diabetic patients. Lowest (64.5%) group of diabetic adults were found in families of highest income and lowest proportions (14.5%) of them were suffering for 10 years and above. There were significant differences in the proportions of diabetic patients of different durations among adults of families of different income levels [ 2 χ2 =17.715, p –value=0.007]. Lowest income was the risk factor for prevalence of diabetes [R.R. =1.09. C.I.(1.00, 1.19)]. Similarly, adults belonged to families of lowest expenditure had 12% more risk of prevalence of diabetes [R.R. =1.12, C.I. (1.04, 1.21)].

The prevalence rate among this group of adults was 71.4%. The prevalence rate was in decreasing trend with the increase in family expenditure. But the differences in rates of prevalence were not significant [ 2 χ2 =11.384, p –value=0.077]. Smoking habit was a risk factor for prevalence of diabetes [R.R. =1.10, C.I. (0.93, 1.30)]. Diabetes prevailed in 71.4% smoker adults and 25.5% of them were suffering for 10 years and above. Smoking habit and prevalence of diabetes of different durations were significantly associated [ 2 χ2=31.758, p –value=0.000]. The rate of prevalence of diabetes among process food consumers was 65.8% and this rate among patients suffering for 10 years and above was 19.6%. But process food consumption was independent of prevalence of diabetes of different durations and consumers and non-consumers were at similar risk of the disease [ 2 χ2 =6.339, p-value=0.096; R.R. =1.03, C.I.(0.94, 1.13) ].

The sample obese adults were 30.2% and 73% of them were diabetic patients of different durations. Higher proportion (30.3%) of obese persons was suffering for 10 years and above. The prevalence rate of diabetes of different durations was significantly increasing with the increase in level of obesity [ 2 χ2 =112.453, p – value=0.000]. Obese adults were at 13% more risk of prevalence of diabetes compared to others [R.R. =1.13, C.I. (1.03, 1.23]. The risk of hypertensive adults (5.9%) was 26% more as it was for others [R.R. =1.26, C.I. (1.11, 1.43)]. Among them the prevalence of diabetes was 83.1% and the rate was in increasing trend with the increase in blood pressure level. A big group (64.4%) of hypertensive adults were suffering from diabetes for 10 years and above. The increasing trend of suffering for different durations was significant [ 2 χ2 =272.055, p –value=0.000].

Results Of Logistic Regression

The above presented results indicated that some of the socioeconomic variables were significantly associated with prevalence of diabetes for different durations. It meant that some variables had impact on prevalence. To identify those variables binary logistic regression model was fitted using the variables residence, religion, gender, marital status, age, occupation, family income, family expenditure, smoking habit, physical activity, consumption of process food, sedentary activity, blood pressure, and body mass index as independent variables. Though not significant regression was noted [Hosmer Lemshow Test, 2 χ2 =6.315, p-value= 0.612; Nagelkarke R-square=0.164], the variables gender, marital status, age, occupation, body mass index, and blood pressure had significant impacts on prevalence of diabetes. The results were shown in Table 2.

Variables Coefficient B S.E.(B) Wald statistic P - value Exp(B)
Residence -0.097 0.158 0.376 0.539 0.908
Religion -0.247 0.213 1.343 0.246 0.781
Gender  0.047 0.187 6.318 0.012 1.599
Marital status  1.188 0.286 17.214 0.000 3.279
Age -0.037 0.008 20.989 0.000 0.964
Education  0.015 0.091 0.029 0.865 1.016
Occupation -0.148 0.064 5.282 0.022 0.863
Family income  0.000 0.000 3.164 0.075 1.000
Family expenditure  0.000 0.000 1.804 0.179 1.000
Body mass index -0.040 0.016 6.578 0.010 0.960
Smoking habit -.0084 0.187 0.218 0.641 0.919
Physical labour -0.359 0.201 3.184 0.074 0.698
Consumption of process food  0.135 0.194 0.484 0.487 1.145
Blood pressure -0.035 0.015 5.621 0.018 0.966
Constant  3.370 1.267 7.075 0.008 29.070

Table 2: Results of Logistic Regression.

Discussion

Diabetes is one of the non-curable non-communicative diseases. It prevailed among 9.3% (463 million people, estimated) worldwide in 2019. The prevalence rate will be increased to 10.2% by 2030 and 10.8% (700 million people) by 2045 [36]. Most of the diabetic patients were in the age group 40-59 years. In another study it was reported that prevalence was higher among people of ages 61-65 years [37]. The reported risk factors for this disease are urbanization, age, illiteracy, lower economic condition, physical inactivity, smoking habit, alcoholism, obesity, and family history, etc. This study was an attempt to identify some socioeconomic variables responsible for prevalence of diabetes for different durations among adults of ages 18 years and above.

The results included in the study were the analytical information of data collected from adults residing in both urban and rural localities. The respondents were investigated from some pre-selected diagnostic centres. There were 67.0% diabetic patients, the percentages of rural and urban diabetic patients were 67.2 and 66.8, respectively. These two groups of adults were at similar risk of prevalence of diabetes. Muslim (85.2%) and non-Muslim (14.8%) adults were also at similar risk of prevalence. Similar risk of prevalence for religious groups was observed in another study also [38-40]. Higher risk of prevalence was noted for married adults (93.1%) compared to the risk of single adults. Similar result was observed in another study. The prevalence rate of diabetes was 85.1% among elderly people of ages 50 years and above. A big group (63.1%) of them were suffering for at least 10 years. Their risk of prevalence was 36% more than it was for others. Increasing trend of prevalence was noted with the increase in ages. Similar results were reported in other studies also [41]. Lower level of education including other factors was the risk factor for diabetes. But this study indicated that illiterate adults (6.5%) had lower risk of prevalence. Higher proportion (72.6%) of businessmen (23.5%) were diabetic patients and they had higher risk of prevalence. The prevalence rates for different occupational group were significantly different. This group usually did not do physical work. The different studies documented that physical inactivity is the risk factor for diabetes. However, inverse relationship between physical work and prevalence of diabetes was noted in this analysis. Family income, family expenditure, food habit, smoking habit and utilization of time are the lifestyle factors and these are also influencing factors for diabetes [42]. This study indicated that adults of lowest income group of families had higher risk of prevalence of diabetes. The percentage of smokers was 33.1. They were more exposed to the problem of diabetes [R.R. =1.16]. The prevalence was independent of habit of process food consumption. But higher risk [ R.R.=1.16] of prevalence was observed in adults involved in sedentary activity ( 44.4%) . In many studies in both home and abroad it was noted that obesity and diabetes were significantly associated. This study also indicated that with the increase in level of obesity the prevalence of diabetes was increasing and more (30.3%) obese adults were suffering for longer duration. Similar was the case for hypertensive adults. They were 26.0% more exposed to the problem. The rate of prevalence of diabetes was significantly increasing with the increase in level of blood pressure. Similar findings were observed in other studies [43].

Many socioeconomic variables were found associated with prevalence of diabetes. But significant impact of each of the variables, viz.gender variation, marital status, age, occupation, body mass index, and blood pressure was noted through Logistic regression analysis.

Conclusion

The information presented here were the analytical results of data collected from 995 Bangladeshi adults of 18 years and above. The data on different socioeconomic variables were collected to identify the responsible variables for the prevalence of diabetes for different durations. In the sample there were 67.0% diabetic patients and 17.1% were suffering for 10 years and above. The percentage of diabetic patients among 46.6% urban residents was 66.8 and among 85.2% Muslims it was 71.5%. But the risk of prevalence of the disease was similar for two religious groups and for both urban and rural residents. The prevalence rate among male (50.1%) respondents was 71.5% and among married persons (93.1%) it was 68.5%. The risks of prevalence for both these groups were higher as these were for their counter parts. The prevalence rate was 85.1% among elderly people (19.6%). The rate was in increasing trend with the increase in age. The elderly people had 36% more risk of prevalence. Illiterate people (6.5%) were at lower risk of the disease. Higher risk of prevalence was also noted for businessmen (23.5%), for adults of lowest income group of families (70.4%) and for lowest spending group of families (71.4%). But lower economy was not the cause of risk of prevalence. Smokers (33.1%) and adults involved in sedentary activity (44.4%) had higher risk of prevalence of diabetes. Higher proportion (25.5%) of smokers and adults involved in sedentary activity (23.3%) were suffering for at least 10 years. Smoking habit and sedentary activity were also the two risk factors for longer duration of diabetes. This study indicated that consumption of process food and physical inactivity were not the risk factors for prevalence. But obesity and hypertension were the risk factors for the prevalence. Longer duration of diabetes was noted among higher group of obese and hypertensive adults. The prevalence rate was increasing with the increase in level obesity and level of blood pressure. Finally, significant impact of the variable gender variation, age, marital status, occupation, body mass index, and blood pressure was observed on prevalence of diabetes.

As upward social mobility in the society and also in the country is prevailed, obesity, hypertension and diabetes cannot be avoided. These three health hazards are interrelated. These are influenced by many socioeconomic characteristics. So, attention should be focused to control the negative effects of these three health hazards. If anyone becomes successful in reducing body mass index, he or she will be successful in reducing diabetes. For this, people should be advised to maintain some norms for leading healthy life. These are:

• Avoid first food, excessive salt and high fatty food and sugarbased food, and try to develop the habit of taking home made food as per as possible
• Do any type of physical work and physical exercise
• Walk whenever it is possible
• Avoid sedentary activity as per as possible
• Consult doctor whenever it is necessary and try to adhere strictly the suggestion of the medical practitioner to maintain the body weight
• Try to maintain the blood sugar level below danger level
• Avoid smoking and drinking alcohol
Government health planners and health workers including rural social workers can do a lot to encourage the people to lead healthy life.

References

  1. WHO. Fact Sheets/Detail/Obesity and overweight, March 2020
  2. Sarwar N, Gao P, Sheshai SR, Gobin R, Kaptoge S, et al. “Diabetes mellitus, fasting blood glucose concentration and risk of vascular diseases: a collaborative meta-analysis of 102 prospective studies”. Lancet 375(2010): 2215-2222.
  3. Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, et al. (2003): Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001. JAMA 289(2001): 76-79.
  4. Barnes SA. “The epidemic of obesity and diabetes: Trend and treatment”. Tex Heart Inst J 38(2011): 142-144.
  5. Bhuyan KC. “A note on economic burden of diabetes of adults at household level”. Acta Scientific Nutritional Health” 3(2019): 101- 104.
  6. Bhuyan KC “Socioeconomic variables which discriminate diabetic and non-diabetic adults in Bangladesh”. EC Diab Metabolic Research 4(2020): 47-55.
  7. Fact Sheets/detail/obesity-and-overweight. WHO February 2018.
  8. Ramchandran A, Snehalata C, Shetty AS, and Nandita A. “Trends in prevalence of diabetes in Asian countries”. World J Diabetes 3(2012): 110-117.
  9. Akter S, Rahaman MM, Sarah KA, Sultan P. “Prevalence of diabetes and pre-diabetes and their risk factors among Bangladeshi adults: A Nationwide survey”. Bull World Health Organ 92(2014): 204-213.
  10. Biswas T, Islam A, Islam Md S, Pervin S, Rawal LB. “Overweight and obesity among children and adolescents in Bangladesh: a systematic review and meta analysis, Public health” 142(2016): 94-101.
  11. International Diabetes Federation (IDF) (2011): Country estimates table, IDF Diabetes atlas, 6th edition.
  12. Karar ZA, Alam N, Streatfield PK “Epidemiological transition in rural Bangladesh 1986-2006”. Global Health Action 19(2009): 2.
  13. Bhuyan, KC. “Socioeconomic variables responsible for exclusively diabetes among Bangladeshi adults” Acta Scientific Nutritional Health, 4(2020):1-6.
  14. Bhuyan KC. “Discriminating Bangladeshi adults by the prevalence of obesity disability”. Jour Diab and Islet Bio 3(2020): 22.
  15. International Diabetes Federation. Atlas 9th Edition IDF(2020).
  16. Bhuyan KC. “Factors responsible for prevalence of diabetes hypertension among Bangladeshi adults”. Jour Dia Metabolism 11(2020): 851.
  17. WHO. The challenge of obesity in the WHO European rigion and the strategies for response (2007).Dokken BB. “The pathology of cardiovascular disease and diabetes: Beyond blood pressure and lipids”. Diabetes Spectrum 21(2008): 160- 165.
  18. Dokken BB. “The pathology of cardiovascular disease and diabetes: Beyond blood pressure and lipids”. Diabetes Spectrum 21(2008): 160- 165.
  19. Akter S, Rahaman MM, Sarah KA Sultan P. “Prevalence of diabetes and prediabetes and their risk factors among Bangladeshi adults: a nationwide survey”. Bulletin of the WHO 92(2014): 204-213.
  20. Md Mortuza A Bhuyan KC, Fardus F. “A study on identification of socioeconomic variables associated with no-communicable diseases among Bangladeshi adults”. AASCIT 4(2018): 24-29.
  21. Saquib N, Saquib J, Ahmed T, Khanam MA, Cullen MR. “Cardiovascular diseases and type II diabetes in Bangladesh: a systematic review ant meta- analysis of studies between 1995-2010”. BMC Public Health 12 (2012): 434.
  22. Rabi DM, Edwards AL, Southern DA, Svension LW, Sargious PN et al. “Association of socioeconomic status and risk of diabetes related mortality with diabetes prevalence and utilization diabetes care services”. BMC Health Serv Res 6: 124.
  23. WHO. “Chronic Respiratory diseases. Retrieved 2018:10-31.
  24. Abegunde DO, Staniole A. “An estimation of the economic impact of chronic non-communicable diseases in selected countries”. WHO working paper, Geneva: 2006.
  25. Fardus J, Bhuyan KC. “Discriminating diabetic patients of some rural and urban areas of Bangladesh: A discriminant analysis approach”. Euromediterrean Bio Jour 11(2016): 134-140.
  26. Monteiro CA, Moura EC, Condel WL, Popkin BM. “Socioeconomic status and obesity in adult populations of developing countries”. Bull WHO 82(2004): 940-946.
  27. Biswas T, Garnett PS, Pervin S, Rawal LB. “The prevalence of underweight, overweight, and obesity in Bangladesh: Data from a national survey”. PLoS One 12(2017): e0177395.
  28. WHO Expert Consultation. “Appropriate Body Mass Index for Asian Population and its Implications for Policy and Intervention Strategies”. Public Health Lancet 363(2004): 157-163.
  29. Bhuyan KC. “Factors responsible for diabetes neuropathy among Bangladeshi adults”. ARC Jour Diabetes and Endocrinology, 6(2020): 7-13.
  30. Bhuyan KC. “Socioeconomic variables responsible for diabetic retinopathy among Bangladeshi adults”. BJSTR 25(2020): 29-18836.
  31. Bhuyan KC. “Factors responsible for obesity heart disease among Bangladeshi adults”. J Heart Cardiovac Sci 1(2020): 1-7.
  32. Bangladesh Bureau of Statistics. “Statistical Year Book of Bangladesh, 2017, BBS, Dhaka, Bangladesh.
  33. WHO Expert Consultation. “Appropriate Body Mass Index for Asian Population and its Implications for Policy and Intervention Strategies”. Public Health Lancet 363(2004): 157-163.
  34.  Jan AS, Yan Li, Azusa H, KEI A, Eamon D, et al. “Blood pressure measurement anno 2016”. Amer Jour Hypertens 30(2017): 453-463.
  35. Jessica Y, Zaman MM, Haq SA, Ahmed S, Al-Quadir Z. “Epidemiology of hypertension among Bangladeshi adults using the 2017 ACC/AHA Hypertension Clinical Guidelines and Joint National Committee 7 Guideline”. Jour Hypertens 32(2018): 668-680.
  36. Pouga S, Petershon I, Paraskevi, S, Malanda B, Karuranga S, et al. “Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Result from the International Diabetes Federation Atlas, 9th edition”. Diabetes Res Clin Pract 157(2019): 107843.
  37. Debrah A, Godfrey OM, Ritah K. “Prevalence and risk factors associated with type 2 diabetes in elderly patients aged 45 – 80 years in Kanungu district”. Jour Dib Res 2020(2020).
  38. Chiwanga FS, Njelekela MA, Diamond MB et al. “Urban and rural prevalence of diabetes and pre-diabetes and risk factors associated with diabetes in Tanzania and Uganda”. Global Health Action 9(2016).
  39. Bahendeka S, Wesonga G, Mutungi J, Muwonge SS, Guwateudde D. “Prevalence and correlates of diabetes mellitus in Uganda: a population- based national survey”. Trop Med Int Health 21(2016): 405-416.
  40. Bhuyan KC, Mortuza A, Fardus J. “Discriminating patients suffering from non-communicable diseases: A case study among Bangladesh adults”. Biomed J Sci Tech Res 10(2018).
  41. Bhuyan KC, Fardus J. “Discriminating Bangladeshi adults by level of obesity. LOJ Med Sci 3(2019): 184-191.
  42. Urmi AF, Bhuyan KC. “Identification of factors responsible for obesity in children and adolescents of some affluent families”. Biomed J Sci and Tech Res 10(2018): 8121-8129.
  43. Dirani M, Xie J, Fenwick E, Benarov R, Rees G, et al. “Are obesity and anthropometry risk factors for diabetic retinopathy? The Diabetes Management Project”. Clin Epidemiol Res: 52(2011): 4416-4421
Pragma Journals

Some fun facts about our Pragma

0+

Journals

0K

Articles

0

Editorial

0

Branch

INDEXING
PARTNERS