International Journal of Community Medicine and Public Health

Patel M et al. Int J Community Med Public Health. 2022 Dec;9(12):4514-4520

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

Predictors of diabetes-specific knowledge and attitude among people residing in the urban settlement of Jodhpur

Mamta Patel1, Deepti Mathur1, Rashmi Kaushal1, Manoj Kumar Gupta2*, Nitin Joshi1, Akhil Dhanesh Goel2, Pankaj Bhardwaj2, G. S. Toteja3


1Department of Public Health, 2Department of Community and Family Medicine, AIIMS Jodhpur, Rajasthan, India

3Chief executive officer, IIT Jodhpur, Rajasthan, India

Received: 12 September 2022

Accepted: 07 November 2022

*Correspondence:

Dr. Manoj Kumar Gupta,

E-mail: drmkgbhu@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: Diabetes has progressively increased in India and around the world over the last quarter-century, with India accounting for a significant portion of the worldwide burden. Researches show that diabetes mellitus related complications can be reduced by early diagnosis of the disease and appropriate treatment. This study aimed to investigate diabetes-related knowledge, attitudes, and practices in adults in the high-income, middle-income, and low-income groups in families of Jodhpur and to create awareness among the community about diabetes.

Methods: With the use of an adequately constructed and validated questionnaire, the current cross-sectional study was conducted on the general population of Rajasthan. The questionnaire was pre-tested and pre-validated. The data were statistically analysed using SPSS.

Results: There were 53.3% males and 46.8% females who were enrolled in the study. The mean knowledge score was 8.82±3.467 and the mean attitude score was 3.62±1.439. Respondents who were educated at least till high secondary or above were significantly more knowledgeable and with more attitude scores as compared to people who were either illiterate or educated only up to secondary.

Conclusions: We discovered a reasonable gap between knowledge, attitudes, and practices, thus formulating and implementing strategies to transform positive attitudes into helpful practices is the need of the hour.

Keywords: Attitude, Awareness, Diabetes, Knowledge, Management

INTRODUCTION

Diabetes (DM) is one of the fastest-growing non-communicable diseases (NCDs) threats to public health in the world. It is now recognized as a significant chronic pandemic disease that affects people of all ethnic backgrounds and regardless of their financial status. Diabetes has progressively increased in India and around the world over the last quarter-century, with India accounting for a significant portion of the worldwide burden.1,2 By 2025, India's National Health Policy 2017 seeks to extend diabetes screening and treatment to 80% of persons with diabetes, as well as reduce diabetes-related early deaths by 25%.3 Researches show that diabetes mellitus related complications can be reduced by early diagnosis of the disease and appropriate treatment.4 Diabetes management has a comprehensive goal of improving quality of life, reducing complications, preventing premature death, and lifestyle changes to empower and motivate patients with self-care, medication, and patient education. KAP levels of diabetes need to be studied to support the future development of programs and technologies for effective health education. This study aims to investigate diabetes-related knowledge, attitudes, and practices in adults in the high-income, middle-income, and low-income groups in families of Jodhpur and to create awareness among the community about diabetes.

METHODS

The households were chosen by adopting simple random sampling. The participants were consenting adults (>18 years old) residents of the Housing Board, Jodhpur. For this survey, a pre-tested and pre-validated questionnaire is used for 2 months (August-September 2019). Sample size was calculated assuming 50% prevalence using the formula N = Z²PQ/l² where Z = 1.96, P = prevalence, Q = 100‑P, and l = precision.5 A sample size of 400 at a 95% confidence interval was estimated.

To create awareness among the community about the diabetes resident’s welfare association/active residents of the colony were contacted first and were told about the purpose of the study and the benefits the community may have. The research team visited house to house and made people understand the purpose of the research and after obtaining written consent work was initiated. With the support of a member of the residential welfare organization, a health talk session was organized for the community members at a common gathering place in the residential colony. The health talk session was supplemented with audio-visual aids and pamphlets on awareness about Diabetes. The session lasted for 5 to 10 minutes. The team communicated with people in Hindi and the local language for better understanding. The research team tried to involve the people in discussion during the health talk to make it more informative and productive.

There was a total of 18 questions in the pre-validated and pre-tested questionnaire. Out of them, 10 questions assessed knowledge. The maximum score was 25 and the minimum was 0. A score of <10 was considered poor knowledge and ≥10 was considered good knowledge. To assess attitude regarding diabetes, 5 questions were included. The maximum score was 5 and the minimum was 0. A score up to 4 was considered poor and a score of 5 was considered a good attitude score.

Data were entered in Microsoft Excel and analysed using SPSS version 23. Nominal data like gender, presence, or absence of knowledge were described using counts and proportions and were analysed using the chi-square test or Fisher’s exact test as applicable. Ordinal variables like the composite score were described using median and IQR and were analysed using the Mann-Whitney U test. Interval/ratio type of data example age was described using mean and standard deviation and analysed using an unpaired t-test. A p-value of less than 0.05 was considered significant.

Ethical Committee Clearance of DMRC, Jodhpur was obtained.

RESULTS

Table 1 shows the socio-demographic details of the study population. There were 53.3% (n=213) males and 46.8% (n=187) females who were enrolled in the study. The majority of the subjects 70.3% (n=281) were below 40 years of age. The majority of the subjects were married 69.5% (n=278). Most of the respondents 56% (224) were at least graduated or had higher degrees.

Table 1: Socio demographic distribution of study population.
Table reproduced from source PDF page 2

Table 2 depicts the association between demographic details with knowledge scores. Age, gender, marital status, religion, and type of house had no significant association with knowledge. The education status and occupation of respondents were significantly associated with knowledge about diabetes.

On post hoc analysis it was seen that respondents who were educated at least till high secondary or above were significantly more knowledgeable as compared to people who were either illiterate or educated only up to secondary. Housewives were significantly less knowledgeable as compared to students, businessmen, government and private service people, and the unemployed.

Table 2: Demographic association with knowledge score.
Table reproduced from source PDF page 3
Table 3: Logistic regression analysis for knowledge.
Table reproduced from source PDF page 3
Table 4: Demographic association with attitude score.
Table reproduced from source PDF page 4
Table 5: Logistic regression analysis for attitude.
Table reproduced from source PDF page 4

On applying binomial logistic regression, where educational status and occupation are independent variables and knowledge is a dependent variable, education status was found as a significant predictor of knowledge about diabetes among respondents. Those who had completed high secondary education were having higher odds of 4.865 (1.393-16.989) of knowing diabetes as compared to their counterparts (Table 3).

Table 4 depicts the association between demographic details with attitude scores. Age, gender, marital status, and religion had no significant association with knowledge. Whereas educational status, occupation, and type of house were significantly associated with attitude scores.

On post hoc analysis it was seen that respondents who were educated at least till high secondary or above were significant with more attitude scores as compared to people who were either illiterate or educated only up to secondary. Housewives had significantly fewer attitude scores as compared to students, businessmen, government and private service people, and the unemployed. The attitude score for diabetes was significantly higher in respondents residing in HIG as compared to people residing in MIG and LIG.

On applying binomial logistic regression, where educational status, occupation, and type of house were independent variables and attitude was a dependent variable, education status was found as a significant predictor of attitude about diabetes among respondents. Those who had completed high secondary education were having higher odds of 3.405 (1.081-10.725) of having a positive attitude about diabetes as compared to their counterparts. Housewives have lesser odds of knowledge as compared to respondents with other occupations.

Participants residing in HIG were having higher odds of 4.003 (2.174-7.373) of having a positive attitude about diabetes as compared to LIG and MIG (Table 5).

Figure 1: Bar graph showing the distribution of study participants as per intake of refined sugar and exercise. | 0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% Yes No Do you avoid refined sugar in your diet? Do you exercise daily?
Figure 1: Bar graph showing the distribution of study participants as per intake of refined sugar and exercise.

When the participants were asked about the intake of refined sugar in their diet, 66.3% agreed that they consume the same, whereas 33.8% avoided refined sugar in their diet. On asking about exercise, 44% of respondents said that they exercise on daily basis (Figure 1).

Figure 2: Bar graph showing the distribution of respondents as per the timing of the last sugar test done. | 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% Last week Last month 6 months back 1 year back As and when required Never When was your last sugar level test done?
Figure 2: Bar graph showing the distribution of respondents as per the timing of the last sugar test done.

On asked when was their last sugar level test done, the majority (33%) of the participants answered that they never attempted this test. Only 0.3% responded that the test was done as and when required (Figure 2).

DISCUSSION

Knowledge, attitude, practice, and perception of diabetes vary greatly according to demographic variables and socioeconomic status. In our study, there were 53.3% of males and 46.8% of females were enrolled in the study. The majority of the subjects (70.3%) were below 40 years of age and 69.5% were married.

There are many possible causes for the increase in the number of cases of diabetes including urbanization, a swift cultural and social alteration, lack of regular exercise regimen, malnutrition, and obesity.6-9 Diabetes has been proven to be reduced by eating a low-fat, high-fiber diet.7 As a result, eating fruits and vegetables daily helps to reduce the chance of developing diabetes. People with diabetes who want to live a normal life and their family members need to know a lot about their illness. Therefore, knowledge and awareness of diabetes and its complications have become an integral part of diabetes care for people in society. A correct understanding of these variables plays an important role in the design of various protocols for the prevention and management of diabetes.

In our study, the mean knowledge score was 8.82±3.467. Only 32.8% of the respondents had good knowledge about diabetes and 67.3% had poor knowledge. This is comparable to the results of a study in Uttar Pradesh by Kanojia et al.10 However, in some studies in different countries, good knowledge about diabetes was shown.6,11,12 The possible explanation might be because there are socio-demographic variations across the countries, different educational levels, and even different sample sizes. Our study revealed that disease knowledge was higher among those with at least high secondary education and the result is statistically significant. Our results are also consistent with studies in different countries.9,13,14 Whereas some studies show the inverse relationship between educational level and diabetes prevalence.15 Low education leads to a lack of understanding of the illness and its implications, increasing the likelihood of poor dietary habits, medication noncompliance, and fewer health check-ups.

The mean attitude score came out to be 3.62±1.439. Only 37% of the participants had a positive attitude towards the disease. This finding is supported by a study that shows 46.3% of respondents with a positive attitude.4 In contrast, some of the literature shows a high percentage of people with positive attitudes regarding diabetes.11,12 This difference might be due to differences in study settings as these studies were hospital-based.

Physical exercise was reported by 44% of the sample. In contrast with our study findings, a study by Karaoui et al reported that only 16% of the respondents were engaged in physical exercises.16 Whereas a systematic review shows varying rates of adherence to exercise ranging from 26.7% to 69%.17 Research shows that patients are more liable to participate in physical exercises when suggested by their medical care experts as a component of diabetes management. A few reasons could be answerable for the current circumstance including a lack of time, sedentary lifestyles, and cultural beliefs. Avoiding refined sugar in the diet will help in the management of diabetes.18-20 Our study shows that only 33.8% of respondents avoided refined sugar in their diet.

This study endures a few limitations. Since it was a cross-sectional study, the correlation between cause and effect could not be identified. The sample size being small, we may not be accurate in generalizing the interpretations to the entire population. We might have shown some bias in selecting some patients and prompting some patients when certain questions were not well understood by the patients.

CONCLUSION

This study shed light on Indians with knowledge, attitudes, and practices about diabetes mellitus. We discovered a reasonable gap between knowledge, attitudes, and practices, thus formulating and implementing strategies to transform positive attitudes into helpful practices is the need of the hour. This can be accomplished by improving the quality of health education and expanding the breadth of health education at all levels.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. Tandon N, Anjana RM, Mohan V, Kaur T, Afshin A, Ong K, et al. The increasing burden of diabetes and variations among the states of India: the global burden of disease study 1990-2016. Lancet Glob Health. 2018;6(12):e1352-62.
  2. 2. Roglic G. WHO Global report on diabetes: a summary. Int J Noncommun Dis. 2016;1(1):3.
  3. 3. Chaudhuri BR, Roy BN. National health policy. J Indian Med Assoc. 1979;72(6):149-51.
  4. 4. Alsous M, Jalil MA, Odeh M, Al Kurdi R, Alnan M. Public knowledge, attitudes and practices toward diabetes mellitus: a cross-sectional study from Jordan. PLoS One. 2019;14(3):1-12.
  5. 5. Padmanabha U, Puneeth N, Udayakiran N. Awareness of Type 2 diabetes mellitus in rural population of Mangalore, South India. Int J Med Sci Public Health. 2018;7(6):1.
  6. 6. Rathod S, Kumar S, Rathod G, Parmar P. Knowledge, attitude and practice (KAP) of general population of Vadodara towards diabetes mellitus. Int Arch Integr Med. 2018;5(4):1-6.
  7. 7. Molina RT, Ríos García AL, Vergara TA, Florez-Garcia VA, Gutierrez VR, Lozano KF, et al. Predictors of diabetes risk in urban and rural areas in Colombia. Heliyon. 2022;8(1):e08653.
  8. 8. Oruganti A, Kavi A, Walvekar PR. Risk of developing diabetes mellitus among urban poor South Indian population using Indian diabetes risk score. J Fam Med Prim Care. 2019 Feb;8(2):487.
  9. 9. Bukhsh A, Khan TM, Nawaz MS, Ahmed HS, Chan KG, Goh BH. Association of diabetes knowledge with glycemic control and self-care practices among pakistani people with type 2 diabetes mellitus. Diabetes, Metab Syndr Obes Targets Ther. 2019;12:1409-17.
  10. 10. Kanojia ML. Knowledge, attitude and practice of diabetes amongst rural population - an institutional based study. Int J Contemp Med Res. 2017;4(8):1761-4.
  11. 11. Waris N, Butt A, Askari S, Fawwad A, Basit A. Diabetes and its complications; Knowledge, attitude, and practices (KAP) and their determinants in Pakistani people with type 2 diabetes. J Diabetol. 2021;12(3):293.
  12. 12. Adam HMI, Elmosaad YM, Ahmed AEE, Khan A, Mahmud I. Dietary knowledge, attitude and practice among type 2 diabetes mellitus patients in sudan: a hospital-based cross-sectional study. Afr Health Sci. 2021;21(1):32-40.
  13. 13. Gahlan D, Rajput R, Gehlawat P, Gupta R. Prevalence and determinants of diabetes distress in patients of diabetes mellitus in a tertiary care centre. Diabetes Metab Syndr Clin Res Rev. 2018;12(3):333-6.
  14. 14. Wassey MA, Giri A, Raikwar A, Dogra V. Prevalence of diabetes, hypertension, and the socio-demographic predictors of the type of facility utilized for related services in rural Telangana. Int J Community Med Public Health. 2020;7(11):4499.
  15. 15. Mirzaei M, Rahmaninan M, Mirzaei M, Nadjarzadeh A, Dehghani Tafti AA. Epidemiology of diabetes mellitus, pre-diabetes, undiagnosed and uncontrolled diabetes in Central Iran: Results from Yazd health study. BMC Public Health. 2020;20(1):1-9.
  16. 16. Karaoui LR, Deeb ME, Nasser L, Hallit S. Knowledge and practice of patients with diabetes mellitus in Lebanon: a cross-sectional study. BMC Public Health. 2018;18(1):1-9.
  17. 17. Mogre V, Johnson NA, Tzelepis F, Shaw JE, Paul C. A systematic review of adherence to diabetes self‐care behaviours: Evidence from low‐and middle‐income countries. J Adv Nurs. 2019;75(12):3374-89.
  18. 18. Bobiş O, Dezmirean DS, Moise AR. Honey and diabetes: the importance of natural simple sugars in diet for preventing and treating different type of diabetes. Oxid Med Cell Longev. 2018;2018.
  19. 19. Genco RJ, Borgnakke WS. Diabetes as a potential risk for periodontitis: association studies. Periodontol 2000. 2020;83(1):40-5.
  20. 20. Alqahtani M, Almutairi FE, Albasseet AO, Almutairi KE. Knowledge, attitude, and practice of diabetes mellitus among the Saudi Population in Riyadh, Saudi Arabia: a quantitative study. Cureus. 2020;12(1).