Relationship between Self-management and Quality of Life among Patients with Diabetes Mellitus: A Cross-Sectional, Correlational Study

Abstract

Background

Diabetes is managed by prescribed medication and dietary measures to control blood sugar, but self-management is a vital aspect of this management. Self-management is a complex bio-psycho-social phenomenon, a crucial task in monitoring the negative consequences of the condition and enhancing quality of life.

Objective

This study aimed to examine the relationship between self-management and health-related quality of life among Saudi patients with diabetes.

Methods

A descriptive, cross-sectional, comparative study design was adopted. Self-reported questionnaires were administered to 87 Saudi patients with diabetes in 2021. Data were analysed using Pearson’s r and t-test.

Results

The total adherence mean of diabetes self-care activities was 2.84 (SD=1.83), which is considered inadequate. The mean score for the total health-related quality of life was 57.35 (SD=15.01), which is regarded as fair. Patients with higher physical and social quality of life reported more adherence to self-management activities. Older patients generally experienced poorer quality of life. Patients with higher body mass index reported statistically significantly more body pain. Male patients reported higher total quality of life and role functioning. Females reported more body pain than males.

Conclusion

Diabetic patients have particular challenges in controlling the disease. Nurses and other healthcare providers need to empower patients to engage in culturally appropriate self-management and physical exercise. The results reported here could be used to design a specific health promotion policy that addresses the promotion of physical exercise and self-management of diabetes care. These policies should consider cultural nuances and be tailored to different demographic groups.

Keywords: Diabetes mellitus, Self-management, Health-related quality of life, Cross-sectional study, Comparative study, Self-reported questionnaires.

1. INTRODUCTION

1.1. The Burden of Diabetes in Saudi Arabia

Diabetes mellitus (DM) is a global chronic disease that causes threats to human health [1, 2]. As estimated by the International Diabetes Federation (IDF) in 2021, the maximum incidence of diabetes overall is anticipated to occur in the Middle East and North Africa as a result of rapid economic and financial development, together with variations in lifestyle habits in these areas [3]. Diabetes is one of the most common health problems in the Kingdom of Saudi Arabia (KSA) [4]. In 2020, the prevalence of diabetes among Saudi adults was 18.3%, with 4,275,200 total adult cases [5]. This increasing disease burden results from numerous factors, including consanguine marriage, rising incidence of obesity, susceptibility to insulin resistance, aging population, and lifestyle changes [1]. Cardiovascular disease has been found to be a major cause of DM in the country [6]. Its rising incidence and prevalence in Saudi Arabia affect the elderly, adolescent, and urban populations [7].

DM is a serious, long-term chronic metabolic condition manifested by elevated blood glucose levels when the pancreas produces little or no insulin (type 1 diabetes – T1DM), cells’ resistance to insulin (type 2 diabetes – T2DM), or both [8]. It affects nearly 10% of the global population above 20 years of age. Type 2 diabetes is the most prevalent, accounting for 90%-95% of all cases [3]. DM exerts a major impact on the lives and well-being of individuals, families, and societies worldwide [9], and it is one of the top ten diseases that cause death in adulthood [8].

The estimated incidence of DM in adults in Saudi Arabia is 17.7%, significantly higher than the global (8.8%) and regional (10.7%) incidences [3]. Some studies have focused on self-management by patients with diabetes in Thailand [10, 11], Egypt [12], and Taiwan [13], while others have concentrated on health-related quality of life (HRQL) in the same population in Malaysia [14] or (in Iran) combined both variables [15, 16]. However, the association between self-management and quality of life among patients with T2DM has not been studied yet in the societal and cultural context of Saudi Arabia.

1.2. Self-management in Diabetes

Diabetes is managed by prescribed medication and dietary measures to control blood sugar, but an Ethiopian systematic review of 39 studies noted that self-management is a vital aspect of managing diabetes effectively [17]. Self-management is a complex bio-psycho-social phenomenon, a crucial task in monitoring the negative consequences of the condition and effecting behavioural adjustment [18]. Self-management is the cornerstone of diabetes care and includes diet, exercise, blood glucose monitoring, and foot care. Canadian research reported that it plays a significant role in influencing quality-of-life outcomes [19].

A qualitative study explored the self-management experiences of adults with diabetes through a focus group in Taiwan, emphasizing the involvement of healthcare teams in the self-management education of patients to improve their quality of life [13]. Similarly, semi-structured interviews provided insight into the experiences of self-management practices among Thai people with diabetes [10]. The findings accentuated the discovery of the causes of behavioural changes before designing self-care programmes and education for patients, their families, and their friends. Moreover, experiences, barriers, and challenges of diabetes self-management in Pakistan were also explored [20], and significant gender differences were identified. It was found that women were more ready to adapt and willing to integrate daily self-management, while men perceived the negative effects of stigma more acutely. Women were more interactive in seeking an understanding of the condition, whereas men preferred self-directed education. However, all complained of lack of professional support as the main barrier to self-management. This was supported by research in Saudi Arabia, which found that healthcare providers providing adequate information and empowering patients with diabetes are the essential elements of effective self-care management plans [18].

A systematic review of 10 randomized controlled trials (RCTs) was conducted in Australia to assess the effectiveness of self-management interventions on glycaemic control (HbA1c) and behaviour (exercise, healthy diet, foot care, blood glucose self-monitoring, and medication adherence) in T2DM [21]. Patient activation interventions exerted positive effects on glycaemic control, and self-management was found to be effective across different intervention approaches, methods of delivery, the extent of intervention, and the number of providers. Korean researchers conducted a systematic review and meta-analysis of self-management nursing interventions for controlling blood glucose in diabetes [22]. This review focused on the impact of self-management on HbA1c and body mass index, quality of life, depression, and anxiety. The review reported that HbA1c was decreased significantly. However, programs are required to be personalised to patients’ personal characteristics and circumstances to be effective.

1.3. Quality of Life in Diabetes

A cross-sectional observational study in Malaysia determined the predictors of HRQL among 430 patients with T2DM [14]. A study revealed that patients using insulin therapy had better diabetes-related knowledge and treatment adherence characteristics that reflected positively on HRQL than non-insulin users. In Botswana, a randomised cross-sectional study of HRQL and its associated factors in 380 diabetic patients found that most patients had relatively poor HRQL, affecting both physical and mental well-being [23]. Since most patients present late with complications, policy changes are necessary to promote early diagnosis and prevent associated complications. Improving HRQL must include programs of self-management as well as medication adherence.

The Short Form 36 Health Survey (SF-36) was used to investigate HRQL among 5472 Iranian patients with T2DM in a meta-analysis [15]. Only moderate quality of life was found, with physical factors being the most problematic and social functioning of least concern. Increasing age was found to be related to worsening HRQL. Research in the Dominican Republic emphasised the importance of considering differing domains of HRQL when considering the impact of metabolic control [24]. The use of measurement (in this case, MDQoL-17) was noted in an Indian study to be central to establishing the patient’s perspective as well as objective assessment of HRQL [25].

Another systematic review by Mexican researchers applied the World Health Organization Quality of Life Instrument (WHOQOL) and SF-36 to review the quality of life among patients with DM in Latin-American populations [26]. It was found that better quality of life was reported by patients who received guidance and treatment regularly to control their diabetes than by patients with severe complications, comorbidities, or foot ulcers. This population was found to experience generally poor HRQL. No improvement was seen from insulin therapy. Psychosocial support was vital to increasing HRQL, but comorbidity exerted a negative impact.

HRQL among patients with diabetes was investigated in one province of the Kingdom of Saudi Arabia [4]. The cross-sectional, multicentre study employed a validated, self-administered questionnaire. The condition exerted negative impacts on general health and daily activities in more than 70% of participants. Another randomised, cross-sectional study in primary health care centres of Saudi Arabia evaluated the quality of life in diabetic patients aged 30-60, excluding those with mental disorders, physical and cognitive disability, or gestational diabetes [27]. In relation to physical, mental, social, and work aspects, more than half of the 179 participants showed a high quality of life in all aspects, though 3.4-16.2% reported a low quality of life in the same aspects.

1.4. Self-management and Quality of Life

A cross-sectional survey of 3352 patients with T2DM was conducted in the Netherlands, and it was found that self-management skills and HRQL corresponded positively with patients’ mastery and perceived autonomy [28]. A 22-study systematic review and meta-analysis in China revealed that participants who received a smartphone-based self-management intervention had better self-care activities, self-efficacy, HRQL, and lower glycated haemoglobin (pooled MD=-0.55; p<0.001) [29].

A quasi-experimental pre-test post-test study was conducted to assess the impact of self-care educational programs in Iran in improving HRQL among 30 non-randomized patients with diabetes using the Iranian SF-36 [16]. A significant increase was observed in most of the domains of HRQL, including physical role, general health, social functioning, physical functioning, and body pain. A cross-sectional study in Malaysia on 266 patients with T2DM examined the effect of diabetes knowledge and attitudes on self-management and HRQL. Diabetes knowledge was found to be a significant predictor of self-management, while attitude was a significant predictor of impact on HRQL, as were self-management and diet [30].

1.5. Summary

Diabetes is a serious, increasing health issue in Saudi Arabia. Self-management holds great promise for improvement in a variety of patient outcomes, while HRQL is susceptible to a host of threats, with differences between genders and across continents and cultures. Self-management itself can exert positive physical and psychological effects on HRQL. A gap was found in the knowledge to guide interventions for Saudi patients with diabetes in their particular cultural context and against the background of intractable prevalence.

2. METHODS

2.1. Aim

To examine the relationship between self-management and HRQL among Saudi patients with diabetes in order to develop culturally effective programs for Saudis and others in the Middle East region.

2.2. Objectives

The following were the objectives of this current study:

1) Determine the level of self-management among Saudi patients with DM.

2) Determine the level of HRQL among Saudi patients with DM.

3) Examine gender-related differences in self-management and HRQL.

2.3. Study Design

A descriptive, cross-sectional, comparative study design was adopted. Self-reported questionnaires were administered in 2021.

2.4. Setting

Data was collected from patients from 2 clinical settings, who were diagnosed with DM as affirmed by medical records from outpatient clinics in King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Al Ahsa, King Abdulaziz Medical City, and Ministry of National Guard Health Affairs in Riyadh.

2.5. Sample

Convenience sampling was used. The inclusion criteria were patients with DM diagnosed at least one year previously, of at least 18 years of age, and able to speak Arabic. Only those who actively agreed to participate in the study were included. Patients diagnosed with cognitive or mental disorders were excluded because their responses could bias the result.

2.6. Ethical Issues

Ethical approval was obtained from the College of Nursing at Al Ahsa and the King Abdullah International Medical Research Centre (RA20/002/A). Research assistants introduced the study and distributed the invitation letter during appointments in outpatient clinics. The nature of voluntary participation was emphasised, and anonymity was assured. All personal and study data were stored securely by the PI in a locked office with access limited to the researchers. The requirements of the Helsinki Declaration were followed for involving human subjects in the study, and formal, explicit consent was obtained from all patients before data collection.

2.7. Data Collection

The targeted hospitals were contacted to assign the head of the unit to the role of research liaison to facilitate approaching the patients and accessing patients’ records. The nurses in charge helped to identify eligible patients. Patients with DM who agreed to participate sat with a research assistant to complete the survey, which, on average, took about 15 minutes. Clinical information was retrieved from patients’ records, including weight and height (for BMI calculation), HA1C, and type of medication. The questionnaire package consisted of 3 sections. Demographic variables of age, gender, marital status, year of diagnosis, duration of living with DM, hobbies, and medical treatment were elicited. Then, the Arabic-validated version of the Summary of Diabetes Self-Care Activities - Arabic (SDSCA-Arabic) was followed. This consists of four subscales: diet, exercise, blood glucose testing, and foot care [31]. Finally, the SF-36 Health Survey was used to measure HRQL. This consists of 36 items with eight dimensions. Four subscales address the mental component summary (MCS), and four more make up the physical component summary (PCS). All item scores are coded and transformed for the PCS and the MCS into a scale of 0 (poor health) to 100 (optimal health) in both dimensions. Good internal consistency was reported [32].

2.8. Data Management and Analysis

IBM SPSS Statistics was used for data analysis (version 22). Descriptive statistical analysis was used to describe the research sample and the items of the questionnaires. Pearson correlation coefficient (r) was used to examine the relationship between the variables. The t-test was used to examine the differences in self-management and HRQL mean scores between males and females. Significance was set at p=0.05.

3. RESULTS

3.1. Characteristics of Study Participants

The sample consisted of 87 patients diagnosed with diabetes. Of these, 58 (66.7%) were female. Forty-nine patients (54%) were from Riyadh and 40 patients were from Al Ahsa (46%). The mean age was 45.18 years (SD=15.16), with a range from 18 to 70 years. The mean income was SR8808. All patients were Muslims, and most were married (n=65, 75.6%). The average time since diagnosis was 12.88 years (SD=7.80). The mean score for HA1C was 8.54 (SD=2.11), and for BMI was 30.60 (SD=7.54). Most were treated with insulin (54%), and 46 (52.9%) reported no hobbies.

3.2. Diabetes Self-care Activities

The total adherence mean was 2.84 (SD=1.83). The individual item with the highest adherence rate was “test blood sugar within the previous 7 days” (M=4.27, SD=3.02), whereas the item that had the lowest adherence rate was “participation in strict exercise session” (M=1.36, SD=2.33). Table 1 presents a detailed item analysis of diabetes self-management practices.

Table 1.
Diabetes self-care activities.
Diabetes Self-care Activities Subscales Mean SD
Diet 2.44 2.82
Exercise 1.78 2.11
Blood sugar test 3.97 2.90
Foot care 3.23 2.97
Total 2.84 1.83

3.3. HRQL Scores

The mean score for the total HRQL was 57.35 (SD=15.01). The social functioning subscale was found to be the best functioning domain, and body pain was the poorest functioning subscale (Table 2).

3.4. Relationship between Diabetes Self-management and HRQL

Pearson correlation was used to examine the relationship between total diabetes self-management mean score (and subscales) and HRQL mean score (and subscales). There was a significant positive relationship between exercise self-management and both the total HRQL mean score and physical functioning subscale (r=0.330, p=0.009; r=0.485, p=0.0005). This indicated that the patients with a high level of exercise self-management had higher HRQL.

Table 2.
Mean scores for HRQL domains.
Domains Mean (SD)
Physical functioning 65.05 (29.18)
Role functioning/physical 52.08 (39.42)
Role functioning/emotional 63.13 (46.29)
Social functioning 67.44 (28.52)
Body pain 28.60 (26.12)
General health 63.70 (18.94)
Mental health 66.21 (23.60)
Vitality 55.98 (23.67)
Total HRQL 57.35 (15.01)
Table 3.
Relationship between diabetes self-management and HRQL.
HRQL Domains Diabetes Self-care Activities Subscale Exercise Blood Sugar Test Foot Care Total
Physical Functioning 0.89 0.485** 0.195 -0.001 0.257
Role Functioning/
Physical
-0.014 0.209 -0.007 -0.171 -0.026
Role Functioning/
Emotional
0.107 0.171 -0.087 -0.122 0.001
Social Functioning 0.129 0.294* 0.160 0.168 0.259*
Body Pain 0.163 -0.223 0.031 0.318** 0.141
General Health -0.069 0.131 -0.198 -0.254* -0.185
Mental Health 0.131 0.142 0.056 -0.069 0.076
Vitality -0.015 0.160 -0.119 -0.133 -0.068
Total HRQL 0.168 0.330** 0.054 -0.049 0.152
Note: ** Correlation is significant at the 0.01 level (2-tailed).
* Correlation is significant at the 0.05 level (2-tailed).

Moreover, there was a significant positive relationship between total diabetes self-management mean score and both physical functioning and social functioning HRQL mean scores (r=0.257, p=0.04; r=0.259, p=0.037). This means that patients with higher physical and social quality of life reported more adherence to self-management activities. In addition, there was a significant positive relationship between foot care self-management and body pain domain of HRQL (r=0.318, p=0.009). Higher scores in body pain indicate better control of pain, so better foot care results in less body pain (Table 3).

3.5. Relationship between Selected Demographics and Diabetes Self-management or HRQL

Correlational analysis was performed to examine the association between patients’ characteristics and diabetes self-management or HRQL. There was a significant negative relationship between age and exercise self-management (r=-0.363, p=0.003). The older the patient, the less exercise was undertaken. However, there was a significant positive relationship between family income and exercise self-management (r=0.327, p=0.023), perhaps related to enhanced access to exercise facilities and more leisure time. Moreover, there was a positive significant relationship between the number of years since diagnosis and diabetes foot care self-management (r=0.25, p=0.04).

There were negative relationships between age and total HRQL and subscales of physical role functioning and social functioning (r=-0.285, p=0.010; r=-0.433, p=0.0005; r=-0.253, p=0.019), respectively. Older patients generally experienced poorer HRQL.

There were significant negative relationships between HA1C and total HRQL (r=-0.342, p=0.002), role functioning (r=-0.371, p=0.001), general health (r=-0.224, p=0.043), vitality (r=-0.410, p=0.0005), and social functioning (r=-0.243, p=0.027). Patients with higher HA1C had lower HRQL in most fields. Moreover, there was a significant positive relationship between HA1C and body pain subscale score (r= 0.403, p=0.0005) such that patients with poorer blood glucose control reported more body pain.

Patients with higher BMI reported statistically significantly more body pain (r=0.259, p=0.020). Moreover, there was a significant negative relationship between BMI and role functioning - physical (r=-0.376, p=0.001).

A significant negative relationship between the number of years since diagnosis and physical role functioning (r=-0.345, p=0.001) indicated that patients with more years since diagnosis had lower role functioning than newly diagnosed patients. On the other hand, there was a significant positive relationship between the number of years since diagnosis and body pain, indicating that body pain increased with time since diagnosis.

3.6. Gender Differences

A two-tailed t-test was used to examine the effect of gender on total self-management mean score and subscale scores. No statistical difference was found. However, there were statistically significant differences between males and females and total HRQL (t(78)=2.045, p=0.04), role functioning/physical (t(82)=3.02, p=0.003), and body pain (t(84)=-4.08, p=0.0005). This indicated that male patients reported higher total HRQL and role functioning. Moreover, females reported more body pain than males.

4. DISCUSSION

The aim of the study was to explore the relationship between self-management and quality of life among Saudi patients with DM. Enhancement of HRQL requires an objective assessment of how DM affects patients’ lives in multiple dimensions [33], how they respond to prescribed self-management, and to what extent they cope with the challenges.

4.1. Increased Exercise Enhances HRQL in Many Domains

Pearson correlation showed a significant positive relationship between the exercise self-management subscale and both the total HRQL and physical functioning subscale. The ability of patients to perceive and identify the important advantages of exercise plays a significant role in improving overall health and, subsequently, HRQL. This is in line with studies conducted in Iran [34] and Hungary [35] reporting that exercise was associated with improved HRQL among people with diabetes. One plausible explanation is that physical exercise increases self-confidence, motivation, and self-acceptance. There are additional reports on the positive effects of physical exercise on the physical, psychological, and environmental aspects of HRQL in Iranian patients with T2DM [36]. This means that physical exercise improves the physical, psychological, and social well-being of patients (which are all domains of quality of life). Indeed, it was reported in a further study in Iran that physical activity was a strong predictor of quality of life in patients with T2DM [37]. A US study reported that exercise counteracts muscle weakness, which is related to physical disability, and its absence is reflected in less daily walking activity, problems in balance, and a higher risk for falls [38]. Ultimately, it can be concluded that exercise improves HRQL.

4.2. Lack of Engagement in Self-care and Exercise

In this study, it was found that physical and social functioning features of quality of life (each involving degrees of physical activity) were significantly associated with overall high HRQL. However, it has been found that Portuguese patients with T2DM usually show difficulty in engaging in regular programs of exercise or activity [39]. The probable reason for this may be the low level of awareness of the benefit of exercise in improving physical functioning and control of serum blood sugar. Physical activity as a form of exercise behaviour has both physiological and psychological components that are essential for achieving effective management and rehabilitation goals in T2DM patients. Participants in this study were more likely to perform self-care management behaviours that required the least effort and lifestyle changes.

Research in other countries with majority Muslim populations (for example, Malaysia, Iran, and Pakistan) has demonstrated gender-based differences in response to diabetes management initiatives. In Saudi Arabia, physical activity and exercise are not widely pursued, particularly by women and older generations. However, this may change as more generations are exposed to other cultures, though in Saudi Arabia, it is perhaps only for males [40].

4.3. Foot Care as a Particular Issue

In terms of body pain and self-care management, a significant relationship was established in Bangladesh between lack of adherence to foot care and problems with pain or discomfort, physical activity, self-care, and daily activities [41]. This is congruent with the findings reported in this study. A plausible reason for this may be increased duration of the disease, fatigue with the treatment regimen and self-care, cognitive issues in some elderly patients, and lack of reinforcement by medical professionals about the importance of foot care. However, in this study, the second most frequent behaviour was foot care, and this may be explained by Muslims performing foot-washing activities as a religious practice, which helps them to promote more frequent checking of the feet.

4.4. Designing Solutions

Developing interventions to increase self-care exercise safely in this vulnerable population may help patients attain control of pain, enhance self-care management, and consequently improve HRQL. International literature reports that men and women are often more accepting of different modes of information and support. Due attention must be paid to population characteristics, particularly age and gender, so that strategies may be tailored to address specific barriers to exercise and self-care in this diagnostic group. Societal and cultural pressures play a part in decisions about these vital aspects of self-management, so these factors must be included while designing initiatives and services. In Saudi Arabia, where mobile technology is a major factor in work, social, and family life, for example, a smartphone-based intervention, such as the one reported above, might be an effective strategy [29]. Yet both self-management and exercise must be addressed for maximum potential.

CONCLUSION AND CONTRIBUTION TO KNOWLEDGE

Physical exercise can exert a positive impact on HRQL, but currently, this benefit is unlikely to be experienced by the Saudi Arabian population since exercise is not a common activity, particularly with increasing age and for females in general. An increase in self-management of diabetes care would also enhance HRQL, but in addition to support for individual patients, this will require a major public health effort on the part of nurses. Due attention must be paid to population characteristics, particularly age and gender, so that strategies may be tailored to address specific barriers to exercise and self-care in differing groups. In this diagnostic group, a focus on the promotion of self-managed foot care to increase adherence to prescribed regimes will be essential.

That physical exercise improves HRQL is established in at least 3 continents, including some majority Muslim countries, but this study has identified the particular importance of cultural and societal norms in restricting physical exercise, especially for Muslim women. Similarly, other studies have recognised the issue of inadequate foot care, but this study identified ritual cleansing as an opportunity for self-screening for diabetic problems and a cost-zero solution to promoting early help-seeking. Finally, the emphasis on population characteristics, gender differences, and the impact of increasing age as contributing factors in decisions about self-help behaviour discovered in this study, considered in cultural, societal, and religious contexts, has been shown to be vital to successful initiatives and interventions.

IMPLICATIONS FOR NURSING PRACTICE AND HEALTH POLICY

Nurses and other healthcare providers need to empower patients to engage in culturally appropriate self-management and physical exercise. The results reported could be used to design a culturally effective intervention for patients with diabetes to further enhance their quality of life. Moreover, a specific health promotion policy can be designed that addresses the promotion of physical exercise and self-management of diabetes care. Such policies should consider cultural nuances and be tailored to different demographic groups. Implementation of the policies would support the creation of targeted educational programs. These programs should focus on raising awareness about the benefits of physical exercise, diabetes self-management, and the importance of self-managed foot care, with an emphasis on reaching diverse age and gender groups.

AUTHORS' CONTRIBUTIONS

It is hereby acknowledged that all authors have accepted responsibility for the manuscript's content and consented to itssubmission. They have meticulously reviewed all results and unanimously approved the final version of the manuscript.

LIST OF ABBREVIATIONS

DM = Diabetes mellitus
T1DM = Type 1 diabetes
T2DM = Type 2 diabetes
RCTs = Randomized Controlled Trials
MCS = Mental Component Summary

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

Ethical approval was provided by the King Abdullah International Medical Research Centre, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia [RA20/002/A].

HUMAN AND ANIMAL RIGHTS

The requirements of the Declaration of Helsinki were followed to involve human subjects in the study.

CONSENT FOR PUBLICATION

Formal, explicit consent was secured from all patients before data collection.

STANDARDS OF REPORTING

The STROBE guidelines were followed.

AVAILABILITY OF DATA AND MATERIALS

The data that support the findings of this study are available from the corresponding author [EAG] on request.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

The authors would like to thank all the Saudi patients who participated in this study and all the physicians who provided support to their patients.

REFERENCES

1
Alramadan MJ, Magliano DJ, Alhamrani HA, et al. Lifestyle factors and macro- and micro-vascular complications among people with type 2 diabetes in Saudi Arabia. Diabetes Metab Syndr 2019; 13(1): 484-91.
2
Roser M, Ritchie H. Burden of disease 2021. Available from: https://ourworldindata.org/burden-of-disease (Accessed 5 March 2022).
3
IDF Diabetes Atlas (10th Ed). Brussels, Belgium. 2021. Available from: https://www.diabetesatlas.org (Accessed 28 January 2024).
4
Alshahrani SM, Alzahran M, Alakhali K, et al. Association between diabetes consequences and quality of life among patients with diabetes mellitus in the Aseer Province of Saudi Arabia. Open Access Maced J Med Sci 2020; 8(E): 325-30.
5
The IDF Middle East and North Africa (MENA) Region. 2020. Available from: https://idf.org/our-network/regions-members/middle-east-and-north-africa/members/46- saudi-arabia.htm (Accessed 13 January 2022).
6
Adhikary D, Barman S, Ranjan R, Stone H. Systematic review of major cardiovascular risk factors: A growing global health concern. Cureus 2022; 14(10): e30119.
7
Alqahtani B, Elnaggar RK, Alshehri MM, Khunti K, Alenazi A. National and regional prevalence rates of diabetes in Saudi Arabia: Analysis of national survey data. Int J Diabetes Dev Ctries 2023; 43(3): 392-7.
8
The top 10 causes of death: News of WHO/IDF consultation. World Health Organization: Geneva. 2020. Available from: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death (Accessed 31 January 2024).
9
Farajzadeh M, Ghanei Gheshlagh R, Sayehmiri K. Health related quality of life in Iranian elderly citizens: A systematic review and meta-analysis. Int J Community Based Nurs Midwifery 2017; 5(2): 100-11.
10
Thojampa S. Knowledge and self-care management of the uncontrolled diabetes patients. Int J Afr Nurs Sci 2019; 10: 1-5.
11
Wichit N, Mnatzaganian G, Courtney M, Schulz P, Johnson M. Randomized controlled trial of a family-oriented self-management program to improve self-efficacy, glycemic control and quality of life among Thai individuals with Type 2 diabetes. Diabetes Res Clin Pract 2017; 123: 37-48.
12
Emara RA. Effect of diabetes self-management education program on glycemic control in diabetic patients attending the family medicine outpatient clinic, Suez Canal University Hospital, Ismailia, Egypt. Egypt J Intern Med 2021; 33: 30.
13
Wu FL, Tai HC, Sun JC. Self-management experience of middle-aged and older adults with type 2 diabetes: A qualitative study. Asian Nurs Res 2019; 13(3): 209-15.
14
Gillani SW, Ansari IA, Zaghloul HA, et al. Predictors of health-related quality of life among patients with type II diabetes mellitus who are insulin users: A multidimensional model. Curr Ther Res Clin Exp 2019; 90: 53-60.
15
Mokhtari Z, Gheshlagh RG, Kurdi A. Health-related quality of life in Iranian patients with type 2 diabetes: An updated meta-analysis. Diabetes Metab Syndr 2019; 13(1): 402-7.
16
Baraz S, Zarea K, Shahbazian HB. Impact of the self-care education program on quality of life in patients with type II diabetes. Diabetes Metab Syndr 2017; 11(Suppl. 2): S1065-8.
17
Bishu KG, Jenkins C, Yebyo HG, Atsbha M, Wubayehu T, Gebregziabher M. Diabetes in Ethiopia: A systematic review of prevalence, risk factors, complications, and cost. Obes Med 2019; 15: 100132.
18
Alodhayani A, Almutairi KM, Vinluan JM, et al. Association between self-care management practices and glycemic control of patients with type 2 diabetes mellitus in Saud Arabia: A cross –sectional study. Saudi J Biol Sci 2021; 28(4): 2460-5.
19
Houle J, Beaulieu MD, Chiasson JL, et al. Glycaemic control and self‐management behaviours in Type 2 diabetes: Results from a 1‐year longitudinal cohort study. Diabet Med 2015; 32(9): 1247-54.
20
Ansari RM, Hosseinzadeh H, Harris M, Zwar N. Self-management experiences among middle-aged population of rural area of Pakistan with type 2 diabetes: A qualitative analysis. Clin Epidemiol Glob Health 2019; 7(2): 177-83.
21
Almutairi N, Hosseinzadeh H, Gopaldasani V. The effectiveness of patient activation intervention on type 2 diabetes mellitus glycemic control and self-management behaviors: A systematic review of RCTs. Prim Care Diabetes 2020; 14(1): 12-20.
22
Cho MK, Kim MY. Self-management nursing intervention for controlling glucose among diabetes: A systematic review and meta-analysis. Int J Environ Res Public Health 2021; 18(23): 12750.
23
Rwegerera GM, Moshomo T, Gaenamong M, et al. Health-related quality of life and associated factors among patients with diabetes mellitus in Botswana. Alex J Med 2018; 54(2): 111-8.
24
Cepeda Marte JL, Ruiz-Matuk C, Mota M, et al. Quality of life and metabolic control in type 2 diabetes mellitus diagnosed individuals. Diabetes Metab Syndr 2019; 13(5): 2827-32.
25
Prajapati VB, Blake R, Acharya LD, Seshadri S. Assessment of quality of life in type II diabetic patients using the modified diabetes quality of life (MDQoL)-17 questionnaire. Braz J Pharm Sci 2018; 53(4)
26
de la Cruz JPS, Morales DLG, González-Castro TB, et al. Quality of life of Latin-American individuals with type 2 diabetes mellitus: A systematic review. Prim Care Diabetes 2020; 14(4): 317-34.
27
Alboqami S, Alotaibi A, Alotaibi W, et al. The quality of life among patients with Diabetes mellitus in Majmaah city, Riyadh, Saudi Arabia: A cross-sectional study. IJMDC 2020; 4: 722-9.
28
Raaijmakers LGM, Martens MK, Hesselink AE, de Weerdt I, de Vries NK, Kremers SPJ. Mastery and perceived autonomy support are correlates of Dutch diabetes patients’ self-management and quality of life. Patient Educ Couns 2014; 97(1): 75-81.
29
Aminuddin HB, Jiao N, Jiang Y, Hong J, Wang W. Effectiveness of smartphone-based self-management interventions on self-efficacy, self-care activities, health-related quality of life and clinical outcomes in patients with type 2 diabetes: A systematic review and meta-analysis. Int J Nurs Stud 2021; 116: 103286.
30
Kueh YC, Morris T, Ismail AAS. The effect of diabetes knowledge and attitudes on self-management and quality of life among people with type 2 diabetes. Psychol Health Med 2017; 22(2): 138-44.
31
AlJohani KA, Kendall GE, Snider PD. Psychometric evaluation of the summary of diabetes self-care activities-arabic (SDSCA-Arabic): Translation and analysis process. J Transcult Nurs 2016; 27(1): 65-72.
32
Ware JE Jr, Gandek B. Overview of the SF-36 health survey and the international quality of life assessment (IQOLA) project. J Clin Epidemiol 1998; 51(11): 903-12.
33
Larkin ME, Walders-Abramson N, Hirst K, et al. Effects of comorbid conditions on health-related quality of life in youth with type 2 diabetes: The TODAY clinical trial. Diabetes Manag 2015; 5(6): 431-9.
34
Babazadeh T, Dianatinasab M, Daemi A, Nikbakht HA, Moradi F, Ghaffari-fam S. Association of self-care behaviors and quality of life among patients with type 2 diabetes mellitus: Chaldoran County, Iran. Diabetes Metab J 2017; 41(6): 449-56.
35
Lukács A, Sasvári P, Török A, Barkai L. Generic and disease-specific quality of life in adolescents with type 1 diabetes: Comparison to age-matched healthy peers. J Pediatr Endocrinol Metab 2016; 29(7): 769-75.
36
Nojomi M, Tapehsari BS, Alizadeh M, Khamseh ME, Seifouri S. Physical activity and quality of life in people with type 2 diabetes mellitus: A randomized controlled trial. Int J Prev Med 2020; 11(1): 9.
37
Bazpour M, Rostampour S, Kamel-Khodabandeh A. Assessment of quality of life and self-care behaviors in patients with type 2 diabetes mellitus in Mashhad, Iran. Jundishapur J Chron Dis Care 2020; 10(1): e105910.
38
Lindberg NM, Vega-López S, LeBlanc ES, et al. Lessons learned from a program to reduce diabetes risk among low-income Hispanic women in a community health clinic. Front Endocrinol 2021; 11: 489882.
39
Baptista LC, Dias G, Souza NR, Veríssimo MT, Martins RA. Effects of long-term multicomponent exercise on health-related quality of life in older adults with type 2 diabetes: Evidence from a cohort study. Qual Life Res 2017; 26(8): 2117-27.
40
Al-Hazzaa HM. Physical inactivity in Saudi Arabia revisited: A systematic review of inactivity prevalence and perceived barriers to active living. Int J Health Sci 2018; 12(6): 50-64.
41
Saleh F, Mumu SJ, Ara F, Hafez MA, Ali L. Non-adherence to self-care practices & medication and health related quality of life among patients with type 2 diabetes: A cross-sectional study. BMC Public Health 2014; 14(1): 431.