Farah Habib; Anisa M Durrani

doi:10.19080/CRDOJ.2018.07.555714

Research Article

Effect of Age and Socio-Economic Status on Compliance among Type 2 Diabetic Patients

Farah Habib* and Anisa M Durrani

Department of Home Science, India

Submission: May 03, 2018; Published: May 30, 2018

*Corresponding author: Farah Habib, PhD, Department of Home Science, AMU, Aligarh, India, Email: farahharis85@gmail.com

How to cite this article: Farah Habib,Anisa M D. Effect of Age and Socio-Economic Status on Compliance among Type 2 Diabetic Patients. Curre Res Diabetes & Obes J. 2018; 7(3): 555714. DOI: 10.19080/CRDOJ.2018.07.555714.

Abstract

Diabetes is a chronic disease, which needs lifestyle modification for its management. Age and socioeconomic status has been linked with self-care behaviour including compliance to treatment regimen. The purpose of the present study is to find the correlation between age, socioeconomic status and diabetic compliance among type 2 diabetic patients. A representative sample of 200 type 2 diabetes patients of age between 30-60 years, with no co-morbidity were selected in OPD of Rajiv Gandhi Centre of Diabetes and Endocrinology, JNMC, Aligarh. Individual interviews were performed to gather information through diabetic compliance questionnaire-a 15 item five point likert type scale and glycemic level was measured by glycosylated hemoglobin. The Pearson correlation coefficient showed that age was correlated to dietary compliance (r=0.139, p<0.05) and SES was correlated with diet (r=0.322, p<0.01), exercise (r=0.198, p<0 .05) and glucose testing (r=0.157, p<0.05) regimen compliance. It was concluded from the results that age and SES of the patient affects the level of compliance. Increasing age and high SES positively predicted the compliance to the regimen and as a result better control over the disease.

Keywords: Diabetic compliance; SES; Glycemic level; HbA1c.

Introduction

Diabetes mellitus is a chronic disease that deteriorates health and quality of life. Presently, about 422 million people worldwide are affected by this disease [1]. It is also alarmingly increasing and gaining the status of potential epidemic in India with more than 69.2 million diabetic individuals reported with the disease as per International Diabetes Federation Atlas [2] and about 80% to 90% of cases are of type 2 diabetes mellitus [2]. Compliance to the recommended regimen is only way to manage the disease, despite this fact, non-compliance rates are high in many treatment programs including those for chronic illnesses [3], as well as for primary intervention strategies such as diet and exercise regimes [4]. People are remaining non-compliant to the treatment regimens designed to manage chronic illness and to reduce the risks of related morbidity and mortality, and a negative outcome is a significant issue in healthcare policy making. Non-compliance as cited in many studies is a global health care problem which is more serious and costly than many disease conditions [5]. Study documented that 71.7 percent of the diabetic patients mentioned forgetfulness due to increasing age as the reason for non-compliance and 67.5% patients cited socioeconomic status as the reason for non-compliance to the treatment regimen [6]. A recent study shows positive correlation between increasing age and non-compliance [7] and it would appear from the results that non-compliance of elderly people are not unidirectional [8]. They attributed physical and economic reasons, and memory slips as causes of non-compliance. Not surprisingly, socioeconomic status also appears to be important. The poor economic background is an obstacle for getting continuous therapy. The results of many researches revealed the association of high income with high self-care ability, indicated that high income group was more engage in diabetes self- care as compare to low income and middle income group patients [9-11].

Objective

To examine the relationship between age, socioeconomic status and diabetic compliance and its effect on glycemic level measured by glycosylated Hemoglobin (HbA1c) among type 2 diabetic patients.

Methodology

Locale

Rajiv Gandhi Centre for Diabetes and Endocrinology, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh.

Sample and sampling method

Sample was selected through purposive sampling method with certain inclusion criteria as follows:

A. Patients of either sex who were diagnosed with type 2 diabetes in between 30 to 60 years of age were selected.

B. Only patients with minimum six months of type 2 diabetes history prior to study were included in the sample.

C. Type 2 diabetic patients with no co-morbidities.

D. Regular visitor/patients of the hospital affirming their willingness to participate in the study were included.

Only 200 sample patients were available in six months period according to the inclusion criteria.

Interview cum schedule

Schedule consists of general information and compliance questionnaire to assess the frequency of compliance in four regimen areas i.e. diet (nine items), exercise (two items), blood glucose testing (two items), medication (two items). This scale requires responses on a five point likert-type scale, ranging from 1 (never) to 5 (at least once a day). Scores were calculated by summing up all the items scores. Negative items were reversely coded. Higher scores indicate higher compliance while lower score are for lesser compliance. Age of the patients was asked at the time of interview and efforts were made to ascertain it with the age written in patient’s record file. Socio economic status was graded according to the Kuppuswamy method of social classification modified as per price index of 2014. Glycosylated Hemoglobin was used as an index for glycemic level. HbA1c data were obtained from the patient record file. The most recent value of HbA1c was recorded for analysis. It was graded high, optimal and low according to the range provided by International Diabetes Federation [2].

Statistical Analysis

Data were expressed as percentage and frequencies or mean and standard deviation. Pearson correlation coefficients were used to find the correlation between age, SES and compliance. Linear regression analysis was used to find the contribution of age and SES in compliance. Throughout all analyses performed, a confidence interval of 95% and a p-value of 0.05 were used to determine statistical significance. SPSS version 20 was used for the analysis.

Results

Demographic information

The sample comprised of 200 patients, out of total 101 (50.5%) patients were males and 99 (49.5%) were females. Regarding age, 44 (22%) patients were in early (30-40 years), 72 (36%) in middle (40-50 years) and 84 patients (42%) were in late (50-60 years) age years. With regard to socioeconomic status of the sample, the data obtained showed that most of the subjects were from upper middle class 101(50.5%), 49(24.5%) were from lower middle, 23(11.5%) patients from upper middle, 21(10.5%) were from upper class and only 6(3%) patients belonged to lower SES. The grouping was based on Kuppuswamy socioeconomic classification (2014).

Age contributed of 11.4% of variance in explaining the dietary compliance (P<0.05). Values in Table 1 showed that majority of the patients (48.8%) who always follow dietary regimen were from late (51-60 years) age group followed by middle (40.9%) and then from early (38.9%) age group. Dietary compliance was also found significantly correlated with age (r=0.139, p <0.05) it showed that the aged patients complied more with the dietary regimen also.

The obtained results on exercise regimen revealed that mostly patients from early (30-40) age groups (38.8%) always followed recommended exercise (30 minutes of brisk walking) than middle (29.2%) and late (23.8%) age groups, and their mean HbA1c level was 6.8%, 7% and 7.3%, respectively. The correlation coefficient was not found significant between age and exercise compliance.

On blood glucose testing regimen, late (50-60 years) age groups patients were more compliant (29.8%) as compared to early (25%) and middle (22.2%) age group patients. Early age group seems to be more compliant to medication, as 88.6% informed that they always take recommended medicine on time, comparing to middle (86.1%) and late (84.5%) age groups patients. Blood glucose testing and medication compliance regimen was also not significantly related with age as shown in Table 1. Socioeconomic status accounted for significantly 9.9% of variance in dietary compliance (R2=0.099, p<0.001). Distribution of patients according to SES revealed that 56.9% upper class, 45.5% upper middle, 42.5% lower middle, 40% upper lower class and 39.5% lower class always followed recommended diet. Correlation coefficients revealed that patients of upper SES complied more with dietary regimen than other SES patients (r=0.322, p<0.01).

A perusal of the values in Table 2 showed that majority of the patients who always followed recommended exercise regimen were from lower class (83.3%) and then from upper class (47.6%) followed by upper middle (25.7%) then by lower middle (21.9%) and upper lower (21.7). Among total sample, 43.5% (upper lower), 41% (lower middle) and 36.6% (upper middle) patients reported that they never practice exercise regimen and their HbA1c values were 8.3%, 8.9%, 8.4% respectively which was higher than the acceptable range according to IDF [2] (up to 8%) and ADA [12] (up to 7%). The lower class patients were mostly farmer, labor or heavy workers from the occupation and they were always busy in doing physical exertion more than recommended 20-30 minutes of brisk walking. Therefore, majority of lower class patients informed that they always did physical exercise. Exercise regimen was found significantly correlated with Socio-economic status (r=0.198, p<0.05).

SES accounted for 2.1% of variance significant at 0.05 level. Results on glucose testing regimen compliance showed that majority of the lower class (83.3%) sometimes follow glucose testing regimen as compare to other classes. Only 23.6% from lower middle, 25.7% from upper middle and 42.9% from upper class always complied with blood glucose testing when recommended. Patients of higher socioeconomic strata adhered more with glucose testing regimen than other statuses (r=0.157, p<0.05). Taking into consideration all the SES groups together for assessment according to medication regimen compliance, but the correlation coefficient was not found significant, although SES significantly predicted 7.2% of the variance in explaining medication compliance.

Discussion

According to the report of the recent research most of the diagnosed type 2 diabetes patients are in age group of above 40 years, because the manifestations of diabetes are seen in later age years, that is why it is also called adult onset diabetes mellitus [13]. Recent research studies showed that increasing age was related to better compliance [7,8,14]. The same results were also documented from research of different geographical regions, for instance, in Caucasian subjects older age patients adhered more with diet and medication regimen and they were less compliant to exercise regimen [6]. Moreover, in Chinese Americans it was also found that old age patients complied better with recommended diet and medication regimen and were more engaged in self-care activities and consequently had low glycosylated hemoglobin and few symptom of diabetes related depression [15]. Furthermore, among Malaysian type 2 diabetic patients attending primary health clinics found that with the increasing age, patients adapted more comfortably to the disease condition and complied better with the medication regimen and so had better control over their blood glucose level [14]. The possible explanation was that the older people might have more concern about their health than younger patients, they can get the necessary help from healthcare providers or family members, and they may be more likely to compliant with therapies. Although a few researchers had found that age was not a factor which causes non-compliance [6,15]. It would appear from the studies that the effects of non-compliance for elderly people are not unidirectional. Comparatively young patients and middle aged patients have a lower compliance rate because patients in these two age ranges always have other priorities in their daily life [16,17]. Due to their work and other commitments, they may not be able to follow the complex treatment or spend a long time waiting for clinic appointments and follow-up. For older people the non-compliance is unintentional and in most cases it is due to forgetfulness [7,10].

The results about SES revealed the association of high income with high self-care activities including compliance to treatment regimen. It was found that upper SES patients had checked their HbA1c level more often than low income patients [9], and also upper SES patients were more compliant with medication regimen than middle and lower SES patients. Moreover, it was stated that high income was positively related with high self-care ability and low income was associated with low self-care ability [18]. High incomes were also associated with high exercise selfcare activities at well-equipped and leisure environments while lesser income were associated with physical activities in nonleisure environment which includes walking for errands and household work and activities [11]. In Indian socio-cultural scenario the higher rates of lower compliance to non-compliance among low socioeconomic class patients found may be due to poor access to medicine ( high cost), low follow-ups (high medical cost) and unequal distribution of health care facilities and cultural barriers further aggravate the condition [7]. Previous literature also suggested the higher non-compliance among lower SES patients due to illiteracy, poor knowledge and lack of importance of compliance to therapeutic regimen and its impact on health outcome [7]. Only 30% patients were compliant with the medication regimen in the lower socioeconomic strata which revealed that the non-compliance was likely to be higher in the lower socioeconomic patients than in upper SES patients [19,20].

Conclusion

It was concluded that age and SES have significant correlations with glycemic control through better compliance to the recommended regimen and high self-care activities (taking medication on time, comply with diet, self-monitoring blood glucose etc.). With the advancing age, the patient becomes more adjusted with the given regimen and adhered better to it and consequently had better glycemic control. Regarding SES of the patients it was concluded that higher SES patients took great care of themselves through better compliance with the regimen and manage the disease properly.

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