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Medical Journal of Clinical Trials & Case Studies Research Article 21 min read

Differences in Disease Demographics and Associated Co- Morbidities in Working Men and Women with Type 2 Diabetes Mellitus

Bai KA, Kuna A*, Kamala K, Sucharitha Devi S and Reddy GR
* Corresponding author
ISSN: 2578-4838  10.23880/mjccs-16000207  Received: February 06, 2019  Published: February 27, 2019
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Keywords
Type 2 diabetes mellitus Co-morbidities Working men Women Gender
Abstract

The study was undertaken to investigate the differences in the disease demographics and associated co-morbidities in working men and working women with Type 2 Diabetes Mellitus (T2DM). The study was carried out in 292 working men and working women from Bellary and Davangere districts of Karnataka state of India. The results indicate that a sex and gender difference does exist in treatment, management and prevalence of associated co-morbidities among working women and working men. Working women had higher prevalence of co-morbidities than men indicating a positive role of T2DM and its effect on dealing with multiple tasks of managing their regular activities, disease associated care and job related activities. The results re-emphasizes inclusion of sex and gender dimension in treatment modalities (pharmacological, dietary and quality of life) of T2DM in working men and working women separately

Introduction

Diabetes Mellitus (DM) is a community health issue which evidently stands out amongst the most serious illness affecting many individuals around the world. The prevalence of type 2 diabetes is growing worldwide; approximately 382 million people (8.3% of the global population) had the disease in 2013, and this number is estimated to exceed 592 million in less than 25 years [1, 2]. In recent years, male sex has been regarded as a risk factor for the development of type 2 diabetes [3].

There is increasing evidence that sex and gender differences are significantly important in pathophysiology, epidemiology, treatment and outcomes in many diseases, particularly for non-communicable diseases, specially type 2 diabetes mellitus (T2DM). Many organizations are now emphasizing inclusion of sex and gender dimension in biomedical research, to improve the scientific quality and societal relevance of the knowledge produced, technology, and innovation generated in treatment modalities [4, 5]. In the domain of endocrinology, pathophysiology, metabolism and clinical nutrition, the greatest body of evidence for important clinical implications of sexual dimorphisms comes from studies in the field of T2DM.

The relevant body of literature reports differences in diabetes management experiences between men and women, particularly in their beliefs, attitudes, fears and concerns about the disease. Women, more often than men, view diabetes as negatively affecting their lives. At diagnosis, more women reported fearing loss of health, diabetes-related morbidity, and early mortality compared to men [6]. Women worry more about both acute and chronic diabetes complications such as hypoglycaemia [7], cardiovascular and renal disease [6]. Women also report significantly more depressive symptoms [8], which can lower their participation in diabetes education and medication compliance [9]. Men are more concerned that diabetes will constrain their lifestyles [7] but believe it is controllable [10]. Men report being more concerned about how diabetes affects their provider role [11], whereas women worry more about how self-care will hinder their familial responsibilities [12], and they also tend to sacrifice their dietary regimen for their family’s food preferences [12].

Women exposed to high job demands and low job control (job strain) had a higher risk of complications in T2DM compared with those not exposed to this combination of work stressors. Women also exposed to low work social support had twofold higher risk of T2DM co-morbidities. High job demands, low job control, and low work social support were not individually associated with type 2 diabetes, supporting the theory that the combination of the three is toxic to health [13, 14]. Genetic background, lifestyle, environment and work related stress contribute to the pandemic increase of T2DM and its associated complications, presenting a challenge for healthcare systems [15]. Sex and gender differences are equally important in development, awareness, presentation, diagnosis and therapy, as well as prevention of the lifestyle-associated disease T2DM. Hence the study was taken up to study the disease demographic differences between working men and working women with T2DM

Materials and Methods

The study was carried out in 292 subjects who were chosen from outpatient / in patient departments in hospitals/clinics from Bellary and Davangere districts of Karnataka State. A purposive sampling technique was used to select type 2 diabetic patients based on inclusion Kuna A, et al. Differences in Disease Demographics and Associated Co- Morbidities in Working Men and Women with Type 2 Diabetes Mellitus. Med J Clin Trials Case Stud 2019, 3(1): 000207.

(Type 2 diabetes patients confirmed by WHO criteria, Age - 20 years and above, Engaged in work with a regular income, Duration of diabetes more than 6 months, Patients giving informed consent for the study) and exclusion criteria (Acute cases with compromised renal, hepatic, pulmonary and cardiac function, which requires the patient to be admitted for more than 2 weeks, Gestational diabetes mellitus, Inability to communicate due to physical or mental disability). Sample size was calculated using the formula: n= z2p (1 - p)/(d)2 Where n = Desired sample size, z = Confidence level (1.75) with 95% confidence interval, p = prevalence 60%, d = 0.05 acceptable error.

The diabetic patients recruited for this study is a set of T2DM working men and women who were willing to participate and may not represent all working T2DM men and women in the selected geographic location. However, this restriction does not threaten the internal validity of the analysis and findings may be generalizable among the Indian work force only (both men and women). The age groups selected for the present study are 20 – 40 years (Economically active age group), 41 – 60 years (Economically stabilized age group) and 61 – 80 years (Retired from service but still work for various reasons).

Study Tool

QOLID (Quality of Life Instrument for Indian Diabetes Patients) is a reliable, valid and sensitive tool for the assessment of diabetes specific quality of life in Indian subjects developed by Nagpal, et al. [16] with an overall Cronbach's Alpha value of 0.894 (subscale- 0.55 to 0.85) showing high internal consistency, good concordance (product moment correlation 0.724; p = 0.001; subscale correlation - 0.457 to 0.779) and DQL-CTQ. The QOLID questionnaire was selected for the present study as it was already subjected to expert panel review, item analysis, reliability analysis, concordant validity and discriminant validity by Nagpal, et al. [16] and is aptly suitable for studying Indian T2DM subjects with overall standardized questionnaire score and good responsiveness to metabolic control and co-morbidities establishing discriminant validity. The same questionnaire was used by the present study group to validate the data obtained on 384 T2DM subjects as a pilot work [17].

Self-administered questionnaires were provided and data was collected after willingness to participate was sought, and written consent was taken from all the Copyright© Kuna A, et al.

working men and women. Data entry was done using Epidata software. Double data entry was done to ensure accuracy and validate the process of data entry. Statistical analysis software SPSS for Windows 10.0 was used for the analysis of data. Demographic characters of the population was expressed as percentages.

Results and Discussion

Demographic Profile of Participants (N=292)

A study on Health related quality of life among working men and women with T2DM subjects was carried out on 292 subjects in Bellary & Davangere districts of Karnataka state. The demographic characteristics of participants of the study are presented in Table 1. Out of

(n = 130) & 84.44% (n = 114)].Ramachandran, et al. [18]
have reported that the prevalence of diabetes, in patients
aged <40 years, has increased from 13.9% in 2000 to 18.6%
in 2006.Studies have also observed the relationship

Table 1: Demographic profile of study respondents (N=292).

Number (%)
Subject characteristics
MenWomen
Age
20 - 40 years45 (28.7%)19 (14.07%)
41 - 60 years103 (65.6%)103 (76.3%)
61 - 80 years9 (5.7%)14 (10.4%)
> 81 years--
Gender
Male157-
Female-135
Education
Primary26 (16.6%)22 (16.3%)
Secondary68 (43.31%)34 (25.2%)
College or higher63 (40.12%)80 (59.25%)
Occupation
Sedentary30 (19.1%)47 (34.81%)
Moderate93 (59.23%)87 (64.44%)
Heavy34 (21.65%)2 (1.5%)
Marital status
Married in partnership130 (82.8%)114 (84.44%)
Widowed11 (7%)12 (8.9%)
Divorced4 (2.54%)2 (1.5%)
Alone12 (7.64%)7 (5.2%)
Residence
Own house61 (38.85%)53 (39.3%)
Rented house82 (52.22%)74 (54.8%)
Relatives14 (8.9%)9 (6.7%)
Monthly income
< 10,00037 (23.6%)17 (12.6%)
11,000 - 19,00051 (32.5%)54 (40%)
20,000 - 29,00061 (38.9%)52 (38.5%)
> 30,0008 (5.09%)13 (9.62%)
Type of work

Table 2: Demographic profile of study respondents (N=292).

Kuna A, et al. Differences in Disease Demographics and Associated Co- Morbidities in Working Men and Women with Type 2 Diabetes Mellitus. Med J Clin Trials Case Stud 2019, 3(1): 000207.

Copyright© Kuna A, et al.

Field work29 (18.5%)11 (8.14%)
Desktop work41 (26.11%)81 (60%)
Both field & desktop work Labour
work
63 (40.12%)41 (30.4%)
24 (15.3%)3 (2.22%)
Hours of Work
6 - 7 hours93 (59.23%)72 (53.33%)
7 - 8 hours62 (39.5%)32 (23.7%)
8 - 9 hours2 (1.3%)32 (23.7%)
9 - 10 hours--

Table 3: Demographic profile of study respondents (N=292).

Results on level of education among the study respondents showed that 40.12% (n = 63) of working men completed college or higher education and 43.31% (n = 68) completed secondary education. Working women were better educated than working men with 59.25% (n = 80) of them who completed college or higher education and 25.2% (n = 34) completing secondary education. Kapur [20] reported that general education level seems very important and that diagnosis can be delayed by 3-7 years in the less and uneducated sections of the population. Actively working people are diagnosed almost a decade earlier, either because of better affordability of care or the need to remain fit to earn a livelihood for the family. Majority of respondents participated in the present study were all newly diagnosed with diabetes (between 6 months to 5 years).

Results on type of occupation showed that, 59.23% of men (n = 93) and 64.44% of women (n = 87) were involved in moderate work and most them were working for 6 to7 hours / day. Majority of working men (40.12%; n = 63) were involved in both field and desktop type of work compared to women who were involved in desktop type of work (60%; n = 81). Majority of the subjects i.e., 32.5% of working men (n=51) and 40% of working women (n=54) had monthly income between 11,000 to 19,000 income per month; 38.9% of men (n=61) and 38.5% of women (n=52) had income between 20,000 to 29,000 per month, which is reasonably good earning and could help the subjects with proper treatment for diabetes. Kapur [21] reported that many socio-economic factors and health care delivery related issues impact the outcome of diabetes and consequently the costs and vice- versa. Occupation carries the specific environmental exposures, and it may be of limited value in measuring socioeconomic status for women who have not been in the paid workforce for much of their adult lives. Socioeconomic status is associated with type 2 diabetes prevalence among women, but not consistently among Kuna A, et al. Differences in Disease Demographics and Associated Co- Morbidities in Working Men and Women with Type 2 Diabetes Mellitus. Med J Clin Trials Case Stud 2019, 3(1): 000207.

men. Diabetes prevalence is more strongly associated with psychological insulin resistance (PIR) than with education or occupational status [22]. It is well established fact that patient contributions are very important for better management of diabetes [23]. Lack of knowledge of diabetes care among patients can have adverse effects on their capabilities to control diabetes and in turn, on the quality of life. As most of the study respondents of present study were educated and working, they were all diagnosed with diabetes early and also have capability to control diabetes with their level of education and earning capacity.

Conclusion

Results of the study indicate that working men and women, in spite of having similar onset and duration of T2DM, the associated co-morbidities were higher among women than men which could be due to various factors (poor treatment adherence, job stress and balance between work and family responsibilities). This indicates that working women have to be more precariously treated than working men so that, they can have better treatment outcome and less complications associated with T2DM in the later part of their lives. Strategies have to be designed based on sex and gender differences to aggressively manage co-morbid conditions associated with diabetes, which may not only prevent diabetes- related complications, but also prevent irreversible deterioration of quality of life in diabetic patients, especially working women. Ethical committee approval: Required ethical committee approval was obtained to carry out the study and consent of all the subjects participated in the study was obtained prior to data collection from all the subjects. Conflicts of Interest: The authors report no conflicts of interest

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Cite this article

BibTeX
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@article{bai2019,
  title   = {Differences in Disease Demographics and Associated Co-
Morbidities in Working Men and Women with Type 2
Diabetes Mellitus},
  author  = {Bai KA, Kuna A, Kamala K, Sucharitha Devi S and Reddy GR},
  journal = {Medical Journal of Clinical Trials & Case Studies},
  year    = {2019},
  volume  = {3},
  number  = {1},
  doi     = {10.23880/mjccs-16000207}
}
Bai KA, Kuna A, Kamala K, Sucharitha Devi S and Reddy GR (2019). Differences in Disease Demographics and Associated Co-
Morbidities in Working Men and Women with Type 2
Diabetes Mellitus. Medical Journal of Clinical Trials & Case Studies, 3(1). https://doi.org/10.23880/mjccs-16000207
TY  - JOUR
TI  - Differences in Disease Demographics and Associated Co-
Morbidities in Working Men and Women with Type 2
Diabetes Mellitus
AU  - Bai KA, Kuna A, Kamala K, Sucharitha Devi S and Reddy GR
JO  - Medical Journal of Clinical Trials & Case Studies
PY  - 2019
VL  - 3
IS  - 1
DO  - 10.23880/mjccs-16000207
ER  -