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    SAMJ: South African Medical Journal

    versão On-line ISSN 2078-5135versão impressa ISSN 0256-9574

    SAMJ, S. Afr. med. j. vol.115 no.11b Pretoria Dez. 2025

    https://doi.org/10.7196/SAMJ.2025.v115i11b.3479 

    RESEARCH

     

    Health literacy on diabetes mellitus among a working population of Mthatha, Eastern Cape Province, South Africa

     

     

    L MvuleniI; M Kah-Keh NanjohII, III; N V KhosaIV, V; A B A NcinitwaVI, VII; S A MabundaVIII, IX, X, XI; W W ChithaXII, XIII; S C NomatshilaXIV, XV

    IBSc, PGDip, MSc; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    IIBNS, BSc Hons, MPH; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    IIIBNS, BSc Hons, MPH; Biostatistics and Analytics Training Services, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    IVBSc, PGDM, MPH, PhD; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    VBSc, PGDM, MPH, PhD; Biostatistics and Analytics Training Services, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    VIBSc, BSc Hons, MPH; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    VIIBSc, BSc Hons, MPH; WSU Institute for Clinical Governance and Healthcare Administration, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, East London, South Africa
    VIIIMB ChB, FCPHM, MMed (Public Health Medicine), PhD; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    IXMB ChB, FCPHM, MMed (Public Health Medicine), PhD; WSU Global Centre for Human Resources for Health Intelligence, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, East London, South Africa
    XMB ChB, FCPHM, MMed (Public Health Medicine), PhD; School of Population Health, University of New South Wales, Sydney, Australia
    XIMB ChB, FCPHM, MMed (Public Health Medicine), PhD; George Institute for Global Health, University of New south Wales, Sydney, Australia
    XIIMB ChB, MPH, PhD; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    XIIIMB ChB, MPH, PhD; WSU Institute for Clinical Governance and Healthcare Administration, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, East London, South Africa
    XIVBSc, PGDip, MSc, PhD; School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa
    XVBSc, PGDip, MSc, PhD; WSU Society and Health Research Institute, School of Public Health, Faculty of Medicine and Health Sciences, Walter Sisulu University, Mthatha, South Africa

    Correspondence

     

     


    ABSTRACT

    BACKGROUND. Diabetes mellitus is one of the major killers in low- and middle-income countries. Health literacy of diabetes mellitus is crucial for effective management and prevention strategies. However, socioeconomic factors in Mthatha, South Africa, may limit adult awareness, exacerbating the prevalence of the chronic disease.
    OBJECTIVES. To assess the level of knowledge of diabetes mellitus among adults in work settings in Mthatha.
    METHODS. This quantitative cross-sectional study used validated questionnaires to collect data among randomly selected adult workers in Mthatha. The study participants were aged 18 - 60 years, residing and working in Mthatha in the King Sabata Dalindyebo (KSD) subdistrict. Sample size calculations targeted recruiting a minimum of 118 participants. Knowledge adequacy was set at 70%. Helsinki declarations on ethical principles were adhered to throughout the study.
    RESULTS. A total of 118 adults, predominantly female (60.2%), with a median age of 34 years and 64.8% with post-matriculation education, participated in the study. The study revealed that only 7.6% of the participants had an adequate knowledge of diabetes mellitus, while 64.4% had a poor knowledge. Only 69.5% of the participants associated excessive sugar consumption with the development of diabetes mellitus, while 44.1% believed that medication was a better option for the control of diabetes than a diet, 34.7% understood that poor blood circulation as a complication was associated with the condition, and only 16.1% identified excessive sweating and shaking as signs of increased blood sugar levels.
    CONCLUSION. Health literacy regarding diabetes mellitus among adult workers in Mthatha is notably low. Improving health literacy knowledge of public health and behaviour modification is crucial to successfully decrease the incidence and number of deaths associated with diabetes mellitus. Innovative approaches tailored for the control of diabetes mellitus in the workplace are needed to balance behaviour and clinical interventions on the management of the condition.

    Keywords: adults, diabetes mellitus, health literacy, work settings


     

     

    Lack of health literacy of diabetes mellitus results in individuals not recognising the symptoms early, leading to delayed diagnosis and treatment.[1] Poor lifestyle choices such as unhealthy eating behaviours, lack of physical activity and inadequate treatment adherence exacerbate complications of lack of knowledge.[2,3] These factors complicate the management and control of diabetes mellitus, resulting in a rise in prevalence worldwide, thus posing a serious threat of mortality from the illness.[2] Defined as a metabolic condition marked by an elevated blood sugar level (hyperglycaemia) and abnormalities in the metabolism of fat, protein and carbohydrates, diabetic mellitus is brought about by deficiencies in the secretion, action, or both, of the insulin hormone.[4] Uncontrolled blood sugar levels can further lead to adverse conditions such as cardiovascular disease, kidney failure, nerve damage, poor wound healing and even blindness.[5] Some acute metabolic disorders such as ketoacidosis and hypoglycaemia are emergencies resulting from poor knowledge of diabetes mellitus and its risk factors, putting strain on the fiscus and families because of long-term expensive management.[6] There is a significant increase in diabetes mellitus worldwide, mainly in low- and middle-income countries (LMIC).[7] This increase was noted in 2014, when ~22 million adults in Africa had diabetes and consumed of global healthcare budgets,[8,9] with South Africa (SA) spending >ZAR140 billion on health in 2021.

    In 2021, ~24 million adults between the ages of 20 and 79 years were living with diabetes in African regions.[10] Annually, 4.9 million people die as diabetes cases rise, mainly in LMIC.[8,9] With 80% of the affected population residing in such countries, most develop complications without awareness or knowledge of the disease.[11] In sub-Saharan Africa, where diabetes was once a rare disease, it now affects >12 million people, with 330 000 deaths annually.[12] These figures represent the tip of the iceberg, as screening surveys have shown that many undiagnosed cases of type 2 diabetes mellitus occur in SA, specifically in the Free State Province.[4] The diabetes prevalence for adults aged between 20 and 79 years is ~7.2%, which means ~2.3 million South Africans are living with diabetes.[13]

    The Eastern Cape Province, where the current study was conducted, is ranked as the province with the third highest number of diabetes-related deaths,[4] with a prevalence rate of 12.5% among the adult population and a treatment coverage rate of only 34.6%. It was reported that the most significant contributors to problems associated with diabetes in this province were poor knowledge, unhealthy behavioural choices and poor practices.[14] The health system of the province was reported as not adequately capacitated to manage the growing burden of non-communicable diseases,[4] thus requiring improvement to handle the rising diabetes mellitus caseload.[3] To cover the expensive long-term diagnosis and treatment of diabetes, relevant primary healthcare service approaches should be investigated to inform the appropriate package. Therefore, efficacy and lifestyle modification are essential to address the burden of diabetes mellitus. This study aimed to delve into the level of knowledge of diabetes mellitus among the adult population in the work setting in the King Sabata Dalindyebo (KSD) subdistrict.

     

    Methods

    The study aimed to delve into the level of knowledge of diabetes mellitus among the adult population in the work setting in Mthatha.

    Design

    The study adopted quantitative research methods using a cross-sectional design.

    Setting

    The study was conducted in Mthatha under the KSD subdistrict in the OR Tambo district of the Eastern Cape, SA. Mthatha has an estimated population of 96 114, covering an area of 91.45 km2.[15] The population is mainly homogenous, consisting of mostly black isiXhosa-speaking people.[16]

    Participants

    The study participants were adult males and females between the ages of 18 and 60 years residing and working in Mthatha. Adults from all working environments had an equal chance of participating in the study regardless of sex, creed, educational attainment or any form of discrimination. Only consenting and mentally stable adults were included. New employees who worked for <1 year in Mthatha settings were excluded.

    Sampling procedure and size

    The study adopted a simple random technique to sample participants working in Mthatha. The study used a Kibuacha's formula to determine a sample of 118 participants who worked in the settings of Mthatha, where the expected proportion (P) was 22% (based on SA diabetes prevalence), the confidence level was 95% (Z =1.96), the margin of error admitted (e) was 8%, with 15% adjustments for confounders. The following formula was used:

    Data collection

    Approval and arrangements for administering questionnaires from the workplace were obtained from the managers of that sector. Questionnaires were also administered at the convenience of the employees. Data on knowledge were adapted from the validated tool.[17] The tool was translated into isiXhosa (a local language spoken by most of the population) to cater for employees who did not understand English. A specialist in the Department of Linguistics, Walter Sisulu University, performed the translation. The completion of the tool took 20 - 25 minutes.

    Data analysis

    SPSS version 29.0 (IBM, USA) was used to analyse data. A p-value of <0.05 was used to determine the significant value of the variables measured. Therefore, Pearson's χ2 was used to determine the associations. A 95% confidence interval (CI) was used for inferential statistics, and the f-test was used to compare variables. Charts and tables are used to present the data.

    Ethical considerations

    The Walter Sisulu University Human Research Ethics Committee granted ethical clearance for the project (ref. no. 018/2023). The KSD municipality held gatekeeping for the study. The fundamental ethical consideration principles in line with the Helsinki Declaration were ensured throughout the study. These included respect for persons, beneficence and justice. The purpose and benefits of the study were explained to the participants. Written consent forms were completed and signed by all participants.

     

    Results

    The study comprised 118 adult participants who worked in different settings of the KSD municipality in the OR Tambo district. The participants included males and females, whose age, academic attainment and employment status were recorded.

    Sociodemographic characteristics

    The sociodemographic characteristics of the sampled population are presented in Table 1. Among the 118 eligible adult participants surveyed from various work settings in Mthatha, the results show a predominance of females (60.2%) compared with males (39.8%). The distribution shows a median age of 34 (interquartile range 28 - 43) years, with most participants falling within the age groups of 22 - 34 years (52.5%). This indicates that the study primarily involved a younger adult working population. There was no statistically significant difference (p=0.978) in level of education across gender (Fig. 1).

     

     

    Health literacy of diabetes mellitus among the adult population in work settings in Mthatha

    The assessment of diabetes mellitus knowledge among participants revealed varying levels of understanding (Table 2). The majority (69.5%) correctly identified that eating too much sugar and other sweet foods is a cause of diabetes. However, only 23.7% correctly recognised that diabetes is caused by failure of the kidneys to keep sugar out of the urine, indicating a misconception about the underlying physiological cause. Less than half (37.3%) knew that regular exercise decreases the need for insulin or other diabetic medication, while 34.7% knew that diabetes often causes poor circulation. Notably, a statistically significant gender difference was observed in the knowledge about diabetes-related poor circulation (p=0.021), with females (43.7%) demonstrating greater awareness than males (21.3%).

    Fig. 2 shows the mean diabetes knowledge scores among male and female participants and their 95% CIs. While the mean knowledge score appears slightly higher among females than males, the error bars (which represent the margin of error around the means) overlap substantially. This overlap, combined with Student's t-test (p>0.05) of 0.277, suggests that the difference in knowledge scores between genders is not statistically significant.

     

     

    Fig. 3 (pie chart) illustrates the distribution of diabetes knowledge levels among participants. Most participants (64.4%) demonstrated poor knowledge of diabetes mellitus. A smaller proportion (28.0%) had an average knowledge, while only 7.6% of the participants exhibited a good knowledge.

     

     

    There was no significant association (p=0.629) between gender and knowledge of diabetes, although more females (38.0%) than males (31.9%) were knowledgeable (Fig. 4).

     

     

    Discussion

    Risk factors for diabetes mellitus

    The study revealed that more than two-thirds (69.5%) of the participants correctly identified that excessive sugar intake can lead to diabetes. This is an encouraging finding, indicating a degree of awareness; however, the variance reflects areas requiring attention regarding public health messaging about dietary risks. This finding is consistent with that in the study by Clark et al.[18] among an adult population. It is indeed concerning that only 37.3% of the participants correctly understood that regular exercise would decrease the need for insulin in their bodies. This result indicates a critical misconception of unhealthy behaviour such as physical inactivity, which is considered to be core in the management of diabetes mellitus. This outcome is aligned with that of

    Malkowska,[19] who reported that physical activity is associated with insulin sensitivity. In another study, it was reported that healthcare providers can assist patients with checking their blood sugar level before, during and after exercise to note how their body reacts to physical activity.[20] The outcome of research conducted in Ghana confirmed the relationship between regular exercise and insulin or other diabetic medication needs among patients with diabetes.[21] Another research study reported numerous benefits of exercising. [22] However, it is important to note that one must be aware of how physical activity may impact medication needs.[22] Furthermore, health professionals were found to support that frequent blood glucose monitoring enables people with diabetes to safely and easily fit physical activity into their daily lives, while paying proper attention to their medication needs.[23]

    The knowledge surrounding diabetes complications varied, with only 34.7% recognising that diabetes can cause poor blood circulation. The inadequacy of knowledge can result in undesirable health outcomes, as individuals may delay the activation of preventive measures. Notably, a statistically significant gender difference was observed in the knowledge about diabetes-related poor circulation (p=0.021), with females (43.7%) demonstrating greater awareness than males (21.3%). A study performed in Cape Town, SA, suggested that it is not only the maintenance of blood sugar levels that is important for diabetic patients but also the maintenance of their cardiovascular health for better circulation.[24] Individuals should address problems pertaining to smoking, unhealthy weight and sedentary behaviours to maintain their health and wellbeing.[24] A Ghanaian study recommended improving cardiovascular health by making lifestyle changes - individuals with diabetes should reduce their risk of developing complications related to poor circulation.[25] A supporting finding affirms the necessity for healthcare providers to make patients aware of the link between diabetes and poor circulation and to work with patients to develop a comprehensive treatment plan that addresses this issue.[26]

    Only 23.7% correctly recognised that diabetes results from the inability of the kidneys to keep sugar out of the urine, indicating a misconception about the underlying physiological cause. This finding is often clouded by myths not supporting the view that suggested that it could be better managed by extensive health education and awareness, which would be instrumental in removing myths and misconceptions regarding diabetes.[27] Moreover, healthcare providers are well trained in motivational interviewing practices, which can enhance patients' understanding of their condition and support them in making informed health decisions.[28] It is essential for individuals to be actively involved in managing their diabetes treatment, as this allows healthcare providers to dispel myths and promote a clearer understanding of the true causes of this chronic condition.[29]

    Results indicated that most participants claimed that their food preparation is as important as the foods they eat. A supporting study for these findings emphasises that home cooking allows individuals to have greater control over the quality and nutrition of their food.[30] Consumers were advised to limit their sugar intake, unhealthy fats and artificial preservatives commonly found in processed foods.[31] A hands-on approach to cooking enables individuals to take responsibility and control over their food intake.[29] Reicks et al.[31] argue that consumers should foster a better relationship with food and implement more mindfulness in their dietary choices. Larson et al.[32] emphasised that increasing health perception and lifestyle awareness can encourage individuals to pursue healthier outcomes.

    The results show that most of the participants in the study were aware that diabetes is associated with kidney damage. These findings are similar to those of another study that recommended that the prevention of kidney damage in people with diabetes is complex.[34] There should be tight control of blood glucose levels with a combination of medication, diet and exercise. Regular monitoring of renal function with urine and blood tests is essential for early detection of abnormalities and maintenance of kidney health.[35] A study conducted in Zimbabwe emphasised the importance of co-operation between healthcare providers and people with diabetes in reducing the risk of damage to their kidneys, and hence improving health outcomes.[36]

    The results of the current study suggest that diabetes mellitus may lead to a loss of sensation in the hands, fingers and feet among affected individuals. Similar findings were found in another SA study, which confirmed that the management of blood sugar levels is crucial for maintaining nerve health in affected individuals.[37] The mechanisms involve practising good foot care, wearing comfortable shoes, avoiding smoking and maintaining a healthy weight.[38] This study further reported an association between diabetes and loss of sensation in the individuals' hands, fingers and feet, which signifies the profound impact of this chronic illness on a person's daily life. This aspect was defined as a mode of advancing the diabetic level. A study conducted in the Eastern Cape, SA, confirmed that awareness campaigns that are focused on the significance of early detection and management of diabetes can effectively enhance health and wellbeing outcomes for individuals with this condition and mitigate the risk of complications such as neuropathy.[39]

    In managing complications associated with diabetes mellitus, the findings of the current study indicate that a significant majority of participants concurred that an effective diabetic diet should primarily incorporate specialised food options. This understanding introduces complexities regarding the management of diabetes, potentially overburdening the general population in their efforts to provide effective support for individuals diagnosed with diabetes. Conversely, recent research findings indicate that a diet suitable for managing diabetes does not necessitate the inclusion of specialised or costly foods. Rather, it emphasises the importance of making healthier dietary choices and implementing portion control as essential strategies for maintaining optimal blood glucose levels.[40]

    The findings of this study reflect an inadequate health literacy of factors associated with the development, prevention and management of diabetes mellitus. The findings also reflect the risk of potential strain on the health system, as costs related to the maintenance of diabetic patients are high, with their quality of life negatively impacted if not taken care of. In a Mexican study of patients with type 2 diabetes, it was noted that there was an association between knowledge inadequacy and poor control of blood sugar levels.[41] Staff attitudes, messaging or social determinants of health were factors associated with the lack of diabetes mellitus knowledge.[42]

    In our study, women have been reported as having better health literacy of diabetes mellitus than their male counterparts.[43] Sekowski et al.,[42] in a Polish study, indicated that females demonstrated a better understanding of diabetes mellitus. This finding highlights the necessity for a comprehensive educational intervention in the community to improve the population's ability to manage their condition independently. However, gender differences should be considered to ensure that males are effectively engaged and reached when designing diabetes education initiatives.[44]

    The study has displayed health disparities among the working population - the country's economic drivers. If this population is at risk of chronic illness and lacks awareness regarding the management of their condition, the nation may be confronted with an adverse health trajectory. While other organisations offer general diabetes education and training, there is a lack of individualised support tailored to the specific needs of employees with diabetes.[45,46] Employees often face barriers such as a private space for insulin administration and challenges regarding the managerial understanding of diabetes management.[45]

    Study limitations

    The study was conducted in a relatively small sample size of workers, which may be a limitation. Consequently, the results may not fully capture the broader experience of the workforce or provide a comprehensive understanding of diabetes mellitus.

    Recommendations

    It is recommended that organisations should implement personalised diabetes management programmes. These should include dedicated support systems and targeted manager training to address the unique needs of employees with diabetes and to enhance workplace inclusivity and health outcomes.

    Study implications

    Future research must include larger and more diverse samples for it to be effective and complete. This will validate the findings and also provide a more in-depth understanding of the phenomenon under investigation. To achieve more effective and equitable outcomes, policies should be based on comprehensive and diverse research data. This would encourage policymakers to utilise proven findings that inform decision-making processes. To meet the needs of the entire workforce, there should be ongoing research that addresses the complexity of societal challenges and involves diverse demographic groups.

     

    Conclusion

    Findings from this study show that health literacy regarding diabetes mellitus is alarmingly low, and higher educational levels do not guarantee an improved understanding among study participants only. The contribution of healthcare workers to enhancing community understanding of the disease remains unclear when assessed through the lens of the community's overall knowledge level. Reconfiguring policy on messaging approaches is critical in closing the gaps identified in diabetes literacy. The allocation of adequately trained staff to educational initiatives and the establishment of a dedicated team focused on health literacy are urgent. Organisations can enhance the wellbeing of their employees living with diabetes by offering comprehensive education on the condition and conducting regular training sessions where health initiatives are promoted. By fostering a supportive work environment, they empower individuals to better understand and manage their health, ultimately improving productivity and quality of life.

    Data availability. The datasets generated and/or analysed during the current study are not publicly available due to research regulations, the Protection of Personal Information Act, and the confidentiality agreement with participants, but are available from the corresponding author by reasonable request.

    Declaration. The research for this study was done in partial fulfilment of the requirements for LM's MSc (Health Promotion) degree at Walter Sisulu University.

    Acknowledgements. We thank the staff who participated in the survey.

    Author contributions. Conceptualisation: LM and SCN; methodology: ABAN, MKN and NVK; software: SAM; validation: SCN, ABAN and MKN; formal analysis: SAM and MKN; investigation: LM, MKN and SCN; resources: SCN and WWC; data curation: LM and MKN; writing of original draft: LM, NVK and MKN; writing of review and editing: SCN and SAM; visualisation: LM and SCN; supervision: SCN; project administration: SCN and SAM; funding acquisition: WWC. All authors have read and agreed to the published version of the manuscript.

    Funding. The work reported herein was made possible through funding by the South African Medical Research Council through its Division of Research Capacity Development (Self-Initiated Grant - Cascade and Mid-Career Scientist grant HDID14269_GM23) under the SAMRC Research Capacity Development Initiative from funding received from the South African National Treasury. The content hereof is the sole responsibility of the authors and does not necessarily represent the official views of the SAMRC or the funders.

    Conflicts of interest. None. The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

     

    References

    1. Sastre MTM, Sorum PC, Kpanake L, Mullet E. Judging the possibility of the onset of diabetes mellitus type 2 from reported behavioral changes and from family history. Clin Diabet Endo-crinol 2023;9(1):1. https://doi.org/10.1186/s40842-022-00147-w        [ Links ]

    2. Sun Y, Dong D, Ding Y. The impact of dietary knowledge on health: Evidence from the China health and nutrition survey. Int J Environ Res Public Health 2021;18(7):3736. https://doi.org/10.3390/ijerph18073736        [ Links ]

    3. Landu ZK, Crowley T. Primary health care nurses' knowledge, self-efficacy and performance of diabetes self-management support. Afr J Primary Health Care Fam Med 2023;15(1):3713. https://doi.org/10.4102/phcfm.v15i1.3713        [ Links ]

    4. Reid M, Roux Ml, Raubenheimer J, Walsh C. Diabetes-related knowledge, attitude and practices (KAP) of adult patients with type 2 diabetes mellitus in the Free State Province, South Africa. S Afr J Clin Nutr 2019;32(4):20-27. https://doi.org/10.3390/ijerph21111529        [ Links ]

    5. Antar SA, Ashour NA, Sharaky M, et al. Diabetes mellitus: Classification, mediators, and complications: A gate to identify potential targets for the development of new effective treatments. Biomed Pharmacother 2023;168:115734. https://doi.org/10.1016/j.biopha.2023.115734        [ Links ]

    6. Lizzo JM, Goyal A, Gupta V. Adult diabetic ketoacidosis. StatPearls [Internet]. StatPearls Publishing, 2023. https://doi.org/10.2165/00024677-200302020-00003.         [ Links ]

    7. Hossain MJ, Al-Mamun M, Islam MR. Diabetes mellitus, the fastest growing global public health concern: Early detection should be focused. Health Science Report 2024;7(3):e2004. https://doi.org/10.1002/hsr2.20048        [ Links ]

    8. Händel MN, Jacobsen R, Thorsteinsdottir F, et al. Assessing health consequences of vitamin D fortification utilizing a societal experiment design: Methodological lessons learned from the D-Tect project. Int J Environ Res Public Health 2021;18(15):8136. https://doiorg/10.3390/ijerph18158136        [ Links ]

    9. Sifunda S, Mbewu AD, Mabaso M, et al. Prevalence and psychosocial correlates of diabetes mellitus in South Africa: Results from the South African National Health and Nutrition Examination Survey (SANHANES-1). Int J Environ Res Public Health 2023;20(10):5798. https://doi.org/10.3390/ijerph20105798        [ Links ]

    10. Lam AA, Lepe A, Wild SH, Jackson C. Diabetes comorbidities in low- and middle-income countries: An umbrella review. J Glob Health 2021;11:04040. https://doi.org/10.7189/jogh.11.04040        [ Links ]

    11. Kassahun CW, Mekonen AG. Knowledge, attitude, practices and their associated factors towards diabetes mellitus among non-diabetes community members of Bale Zone administrative towns, South East Ethiopia. A cross-sectional study. PLoS ONE 2017;12(2):e0170040. https://doi.org/10.1371/journal.pone.0170040        [ Links ]

    12. Owolabi EO, Goon DT, Ajayi AI, Adeniyi OV. Knowledge of diabetes and associated factors in rural Eastern Cape, South Africa: A cross sectional study. PLoS ONE 2022;17(7):e0269811. https://doi.org/10.1371/journal.pone.0269811        [ Links ]

    13. International Diabetes Federation. IDF Diabetes Atlas. 2025. https://diabetesatlas.org/resources/idf-diabetes-atlas-2025/ (accessed 21 October 2025).         [ Links ]

    14. Gosmanov AR, Gosmanova EO, Kitabchi AE. Hyperglycemic crises: Diabetic ketoacidosis and hyperglycemic hyperosmolar state. Endotext [Internet]. 2021.         [ Links ]

    15. Statistics South Africa. 2024 Mid-year Population Estimates. 31 July 2024. Pretoria: Stats SA, 2024.         [ Links ]

    16. Eastern Cape Rural Development Agency (ECRDA). Eastern Cape CENSUS 2022. Key statistics. https://ecrda.co.za/wp-content/uploads/2024/10/Eastern-Cape-CENSUS-2022-Key-Statistics.pdf (accessed 20 October 2025).         [ Links ]

    17. Garcia A, Villagomez E, Brown S, Kouzekanani K, Hanis C. The Starr County Diabetes Education study: Development of the Spanish-language diabetes knowledge questionnaire. Diabet Care 2001;24:16-21. https://doi.org/10.2337/diacare.24.1.16        [ Links ]

    18. Clark TL, Polonsky WH, Soriano EC. The potential impact of continuous glucose monitoring use on diabetes-related attitudes and behaviors in adults with type 2 diabetes: A qualitative investigation of the patient experience. Diabet Technol Therapeut 2024;26(10):700-708. https://doi.org/10.1089/dia.2023.0612        [ Links ]

    19. Malkowska P. Positive effects of physical activity on insulin signaling. Curr Issues Mol Biol 2024;46(6):5467-5487. https://doi.org/10.3390/cimb46060327        [ Links ]

    20. Kanaley JA, Colberg SR, Corcoran MH, et al. Exercise/physical activity in individuals with type 2 diabetes: A consensus statement from the American College of Sports Medicine. Med Sci Sports Exerc 2022;54(2):353-368. https://doi.org/10.1249/MSS.0000000000002800        [ Links ]

    21. Mahmoud TH, Sallam MA, Ahmed MS, Ali SM, Abdelwahaab HA. Effect of respiratory muscle training on lung function on quarry workers in Minia Governorate Egypt. Research Square (preprint). 2024. https://doiorg/10.21203/rs.3.rs-4503795/v1        [ Links ]

    22. López-Sánchez GF, Hernández MRV, Casas PL, et al. Impact of physical activity, BMI and sociodemographic and lifestyle factors on the risk of diabetes in 9 511 Ghanaian adults. SPORT TK-EuroAm J Sport Sci 2022;11:15. https://doi.org/10.6018/sportk.518091        [ Links ]

    23. Tabong PT-N, Bawontuo V, Dumah DN, Kyilleh JM, Yempabe T. Premorbid risk perception, lifestyle, adherence and coping strategies ofpeople with diabetes mellitus: A phenomenological study in the Brong Ahafo Region of Ghana. PLoS ONE 2018;13(6):e0198915. https://doi.org/10.1371/journal.pone.0198915        [ Links ]

    24. Solomons N, Kruger HS, Pouane TR. Addressing non-communicable diseases in the Western Cape, South Africa. J Public Health Res 2019;8(2):1534. https://doiorg/10.4081/jphr.2019.1534        [ Links ]

    25. Patil B, Maddox IH, Aborigo R, et al. Community perspectives on cardiovascular disease control in rural Ghana: A qualitative study. PLoS ONE 2023;18(1):e0280358. https://doi.org/10.1371/journal.pone.0280358        [ Links ]

    26. Lorig K, Laurent D, Gonzalez V, Sobel D, Minor MA, Gecht-Silver M. Living a Healthy Life With Chronic Conditions. 5th ed. Boulder, Colo: Bull Publishing, 2020.         [ Links ]

    27. Marcinek L, Jefferson T. Understanding type 2 diabetes: Truth or myth. Dela J Public Health 2017;3(2):28-34. https://doi.org/10.32481/djph.2017.04.005        [ Links ]

    28. Hartley RM. Political rhetoric typology in the 2022 US State legislative elections. Open J Political Sci 2024,14(1):152-165. https://doi.org/10.4236/ojps.2024.141009        [ Links ]

    29. Greenhalgh TM, Dijkstra P. How to Read a Paper: The Basics of Evidence-Based Healthcare. UK: John Wiley & Sons, 2024. https://doi.org/10.2174/0118715303374972250407065308        [ Links ]

    30. Romani S, Grappi S, Bagozzi RP, Barone AM. Domestic food practices: A study of food management behaviors and the role of food preparation planning in reducing waste. Appetite 2018;121:215-227. https://doiorg/10.1016/j.appet.2017.11.093        [ Links ]

    31. Kabir A, Miah S, Islam A. Factors influencing eating behavior and dietary intake among resident students in a public university in Bangladesh: A qualitative study. PLoS ONE 2018;13(6):e0198801. https://doi.org/10.1371/journal.pone.0198801        [ Links ]

    32. Reicks M, Kocher M, Reeder J. Impact of cooking and home food preparation interventions among adults: A systematic review (2011 - 2016). J Nutr Educ Behav 2018;50(2):148-172.e1. https://doi.org/10.1016/j.jneb.2017.08.004        [ Links ]

    33. Larson N, Laska MN, Neumark-Sztainer D. Food insecurity, diet quality, home food availability, and health risk behaviors among emerging adults: Findings from the EAT 2010 - 2018 study. Am J Public Health 2020;110(9):1422-1428. https://doi.org/10.2105/AJPH.2020.305783        [ Links ]

    34. Anders HJ, Huber TB, Isermann B, Schiffer M. CKD in diabetes: Diabetic kidney disease versus nondiabetic kidney disease. Nat Rev Nephrol 2018;14(6):361-377. https://doi.org/10.1038/s41581-018-0001-y35        [ Links ]

    35. Sumida K, Nadkarni GN, Grams ME, et al. Conversion of urine protein-creatinine ratio or urine dipstick protein to urine albumin-creatinine ratio for use in chronic kidney disease screening and prognosis: An individual participant-based meta-analysis. Ann Intern Med 2020;173(6):426-435. https://doi.org/10.7326/M20-0529        [ Links ]

    36. Mureyi D, Katena NA, Monera-Penduka T. Perceptions of diabetes patients and their caregivers regarding access to medicine in a severely constrained health system: A qualitative study in Harare, Zimbabwe. PLoS Glob Public Health 2022;2(3):e0000255. https://doi.org/10.1371/journal.pgph.0000255        [ Links ]

    37. Mphasha MH, Mothiba TM, Skaal L. Family support in the management of diabetes patients' perspectives from Limpopo Province in South Africa. BMC Public Health 2022;22(1):2421. https://doi.org/10.1186/s12889-022-14903-1        [ Links ]

    38. Iyun OB. A systematic review of interventions to improve adherence to anti-diabetic medications in patients with type 2 diabetes in sub-Saharan Africa. Cape Town: School of Public Health, Faculty of Family Medicine, University of Cape Town, 2022.         [ Links ]

    39. Hill J, Yako Y, George C, Musarurwa H, Jordaan E, Kengne AP. A study protocol for a cluster randomised controlled trial to test the applicability of the South African diabetes prevention program in the Eastern Cape Province of South Africa. BMC Public Health 2023;23(1):214. https://doi.org/10.1186/s12889-022-14884-1        [ Links ]

    40. Maneesing TU, Dawangpa A, Chaivanit P, et al. Optimising blood glucose control with portioned meal box in type 2 diabetes mellitus patients: A randomised control trial. Front Nutr 2023;10:1216753. https://doi.org/10.3389/fnut.2023.1216753        [ Links ]

    41. Velázquez-López L, Torres AVM, Bravo PGM, de la Peña JE. Inadequate diabetes knowledge is associated with poor glycemia control in patients with type 2 diabetes. Aten Primaria 2023;55(5):102604. https://doi.org/10.1016/j.aprim.2023.102604        [ Links ]

    42. Ferreira PL, Morais C, Pimenta R, et al. Knowledge about type 2 diabetes: Its impact for future management. Front Public Health 2024;12:1328001. https://doi.org/10.3389/fpubh.2024.1328001        [ Links ]

    43. Sękowski K, Grudziąż-Sękowska J, Pinkas J, Jankowski M. Public knowledge and awareness of diabetes mellitus, its risk factors, complications, and prevention methods among adults in Poland - a 2022 nationwide cross-sectional survey. Front Public Health 2022;10:1029358. https://doi.org/10.3389/fpubh.2022.1029358        [ Links ]

    44. Jackson MC, Dai S, Skeete RA, et al. An examination of gender differences in the National Diabetes Prevention Program's Lifestyle Change Program. Diabetes Educ 2020;46(6):580-586. https://doi.org/10.1177/0145721720964585        [ Links ]

    45. Shiel EV, Burton K, Hemingway S. Do the interactions between type 1 diabetes and work support self-management? A best-evidence synthesis. J Diabet Res 2025;2025:5523829. https://doi.org/10.1155/jdr/5523829        [ Links ]

    46. Woodward A, Walters K, Davies N, et al Barriers and facilitators of self-management of diabetes amongst people experiencing socioeconomic deprivation: A systematic review and qualitative synthesis. Health Expect 2024;27(3):e14070. https://doi.org/10.1111/hex.14070        [ Links ]

     

     

    Correspondence:
    S C Nomatshila
    snomatshila@wsu.ac.za

    Received 11 April 2025
    Accepted 6 October 2025