Prevalence of chronic diabetic complications and associated risk factors among follow-up diabetic patients: estimates from a referral national diabetes center in Yemen (2025)

  • Gamil Ghaleb Alrubaiee1,2

BMC Endocrine Disorders volume25, Articlenumber:68 (2025) Cite this article

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Abstract

Background

Emergence and progression of diabetic complications are associated with several risk factors. Identifying these risk factors related to diabetes helps avoid such complications and develop preventive measures to protect patients and improve their quality of life. This study aimed to estimate the prevalence of chronic complications among Yemeni diabetic patients and investigate the associations between these complications, sociodemographic characteristics, and diabetic risk factors.

Methods

This cross-sectional study was conducted at the National Diabetic Referral Center in Sana’a, Yemen, from September 1 to October 30, 2023. Of the 228 respondents, 222 were considered valid for analysis. Data for this study were collected using the World Health Organization (WHO) STEPS Surveillance questionnaire and a simple physical assessment. IBM SPSS version 24.0 was utilized to manage and analyze the data. Descriptive statistics were used to determine the prevalence of diabetes complications. The chi-square test and binary logistic regression were used to determine the associations and risk factors. A p-value of less than 0.05 was used to determine statistical significance.

Results

Diabetes-related complications were reported by 62.6% of respondents, with females having a greater risk of diabetic foot, nephropathy, and retinopathy, while males had an increased risk of neuropathy complications. Unemployment, obesity, non-adherence to diabetes regimens, uncontrolled hypertension, longer duration of type 1 diabetes (T1DM), and irregular physician check-ups were identified as key predictors of diabetes-related complications. Administration of statins as lipid-lowering medications was associated with a reduced risk of coronary artery disease (CAD) or ischemic stroke complications.

Conclusion

Chronic complications related to diabetes were common among patients in Yemen. Factors such as unemployment, obesity, non-adherence to diabetes regimens, uncontrolled hypertension, longer duration of T1DM, and irregular physician check-ups were identified as key predictors of these complications. Implementation of the WHO non-communicable disease package is strongly recommended. This package comprises comprehensive measures aimed at detecting, treating, preventing, and controlling diabetic complications and ultimately improving the overall management of diabetes in Yemen.

Clinical trial number

Not applicable.

Peer Review reports

Introduction

The incidence of diabetes mellitus (DM) has steadily increased in both developed and developing nations [1]. Diabetes, with its substantial life-threatening consequences, has become one of the world’s most serious health issues [2]. DM currently affects 463million people aged between 18 and 99 years, and the number is expected to exceed 700million by 2045 [3, 4]. Diabetes has become more prevalent in the Arab world over the last two decades, with the prevalence expected to nearly double by 2035, possibly owing to unhealthy food choices and lifestyle changes [5].

Yemen has 366,000 cases of type 2 diabetes mellitus (T2DM), with an estimated 447,000 undiagnosed cases; the prevalence of diabetes mellitus is 8.45% [6]. This figure may be underestimated because of limited access to health services, the high cost of diabetes diagnosis and treatment, and the lack of research capacity in Yemen, all of which are obstacles to understanding the scope of the country’s DM problem [7].

Importantly, even people who have been diagnosed are frequently mismanaged because of healthcare professionals’ lack of resources, knowledge, and skills [6]. Diabetes is a high-cost disease to treat, especially if it is uncontrolled, owing to its chronic nature, serious consequences, and the necessary control measures that affect not only the patient, but also the family and the healthcare system [8]. Patients with diabetes are at a higher risk of developing subsequent health problems that result in severe morbidity, diminished life expectancy, and elevated direct and indirect costs [9]. Uncontrolled diabetes can cause significant damage to various organs [10]. Damage to blood vessels and nerves is one of the most serious consequences of diabetes [11].

Modifiable risk factors such as physical inactivity, obesity, overweight, untreated high blood pressure, high cholesterol and/or triglycerides, smoking, unhealthy foods, stress, poor patient well-being, and insufficient sleep play a significant role in increasing the risk of diabetes mellitus and its chronic complications [12]. As a result, effective diabetes control and management necessitate the examination of multiple lifestyle risk factors rather than just one.

Chronic complications of diabetes cause serious morbidity and mortality worldwide. In a study conducted among diabetic patients in Morocco, the findings indicated that chronic complications of T2DM lead to increased morbidity and mortality globally. The primary risk factors associated with these complications included prolonged duration of diabetes, insulin use, insufficient physical activity, hypertension, hypolipidemia drugs, elevated serum creatinine levels, and high levels of LDL-C [13]. Likewise, the results of studies conducted in Sudan and Egypt, which aimed to estimate diabetes complications, revealed a high prevalence rate of chronic diabetic complications, especially among individuals with poor control and a longer duration of diabetes [14, 15].

Diabetes-related complications must be detected early to avoid disability and death [16]. However, data on the prevalence of chronic diabetic complications and associated risk factors have not been well documented in Yemen [7, 17]. Given the serious consequences of these complications for the patient, family, and health-care system, quantifying the problem, and exploring the associated risk factors would aid in a greater understanding of diabetic management, improving patient quality of life, and reducing the significant diabetes burden [18]. The current study aimed to estimate the prevalence of chronic complications among Yemeni diabetic patients and to investigate the associations between chronic complications and patients’ sociodemographic characteristics and diabetic risk factors.

Methods

Study design, setting, and time frame

Across-sectional study was conducted at the referral national diabetic center in Sana’a, Yemen, from September 1 to October 30, 2023. This design allows for the assessment of relationships between variables at a single time point, providing a thorough overview of participant characteristics and valuable insights regarding prevalence and associations. The diabetes center is located at the Al Thaw rah Modern General Hospital in Sana’a City, Yemen. This center is a referral National Diabetes Center, serving nearly 8,640 diabetic patients from all governorates across the country each year.

Participants

Both male and female patients with diabetes, aged 18–65 years, from rural (n = 67) and urban (n = 155) areas in Yemen were recruited for this study. Systematic random sampling was employed to select the participants. According to data from the national diabetic center in Sana’a, Yemen, 1440 diabetic patients were recorded over a two-month period. Dividing this total by 228 gives a sampling interval of 6. Subsequently, a random number generator was utilized to establish a starting point between 1 and 6, ensuring an unbiased selection process. The generated number was 5, initiating the interview process with patient number five. Interviews continued with every fifth patient based on their check-up sequence until the required 228 patients were recruited for the study. A total of 228 participants were eligible to participate.

Sample size estimation

The sample size for this study was calculated via the single-population proportion formula under the following assumptions: a prevalence of diabetic complications of 16% [19] 95% confidence level and a 5% margin of error. The sample size was calculated as follows:

$$n = \frac{{{{\left( {{Z_{{a \mathord{\left/{\vphantom {a 2}} \right.\kern-\nulldelimiterspace} 2}}}} \right)}^2}p\left( {1 - p} \right)}}{{{d^2}}}$$

where n = the required sample, Zα/2 = 1.96, p = 0.16, d = 0.05.

$$n = \frac{{{{\left( {1.96} \right)}^2}0.16\left( {1 - 0.16} \right)}}{{{{\left( {0.05} \right)}^2}}} = 207$$

Considering a 10% nonresponse rate, 207 + 21 = 228.

Data collection instruments

The WHO STEPS Surveillance questionnaire was adapted for use in this study [20]. The questionnaire was divided into three sections, the first of which addressed the respondents’ sociodemographic information such as gender, age, place of residence, marital status, occupation, educational level, and monthly income. Section(2) addresses chronic diabetic complications. Section(3) concentrated on the key risk factors. Weight, height, and blood pressure were measured using well-calibrated, high-quality equipment that was regularly checked for accuracy.

Data collection

Data were collected from both primary and secondary sources. Primary data were gathered through face-to-face interviews conducted by a trained research team, using a questionnaire to collect sociodemographic information such as age, education, residence, occupation, marital status, and family income. Additionally, healthcare professionals measured patients’ weight and height to calculate Body Mass Index (BMI). Patients were classified as underweight (BMI < 18.5kg/m²), normal weight (BMI 18.5–24.9kg/m²), overweight (BMI 25.0–29.9kg/m²), or obese (BMI ≥ 30kg/m²). Family income levels were self-reported and categorized into low, moderate, and high-income groups.

Secondary data on diabetic complications and associated risk factors were retrieved from the diabetic health center’s system. These data were validated by endocrinology specialists and consultants. IT staff extracted relevant information from electronic health records into a Microsoft Excel spreadsheet. The data were then cleaned, coded, and imported into SPSS software for analysis.

Validity and reliability

The updated questionnaire underwent cross-cultural adaptation and translation by two experienced bilingual translators (fluent in Arabic and English) to maintain consistency in meaning and measurements. Two experts validated the content, resulting in modifications to some words based on their suggestions, without adding or removing any items. Their suggestions were taken into consideration. The questionnaire was pilot-tested with 20 diabetic patients who were not part of the study sample. The reliability of the questionnaire items was evaluated using Cronbach’s alpha, showing an acceptable value of 0.84. Furthermore, two fieldwork validators were recruited to ensure that the measuring instruments were accurate and precise before they were utilized.

Data analysis

The Statistical Package for Social Sciences (IBM SPSS) version 24.0 was used to manage and analyze the collected data. Descriptive statistics were used to determine the prevalence of diabetes complications. The associations between predictor variables and each chronic diabetic complication were initially examined using the chi-square test, followed by multiple binary logistic regression. The chi-square test was chosen because it is frequently used for assessing associations between categorical data. After identifying significant associations through the chi-square test, the significant factors were included in a multiple binary logistic regression model using the enter method. The model’s prerequisites were met before conducting the analysis. A p-value of less than 0.05 was used to determine statistical significance.

Ethical considerations

The study was approved by the Al Razi University Human Research Ethics Committee (Ref: RU/ 070/FOMS/2021) before it began. Permission from the National Diabetes Center to extract the patient’s relevant data from the electronic system was obtained. All eligible patients who visited the National Diabetes Center during the study period provided informed consent. They were also informed that their participation was entirely voluntary, that anonymity would be maintained, and that they could withdraw at any time.

Results

Prevalence of chronic DM complications among the respondents

According to our data, 62.6% of respondents reported one or more macro/micro diabetic complications. The macrovascular complication represents 40 (18%), with the highest prevalence being CAD at 37 (16.7%), whereas the microvascular complication represents 136 (61.3%), with the highest prevalence being retinopathy at 75 (33.8%) and diabetic foot at 73 (32.9%). Table1 provides further details.

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The association between respondents’ sociodemographic data and chronic DM complications

Our study revealed associations between sociodemographic characteristics and certain macrovascular and microvascular complications of DM. The findings indicate that respondents aged > 40 years were more likely to develop retinopathy. Illiterate patients had macrovascular complications (PAD), while both illiterate and primary school-educated patients had statistical significance for all microvascular complications except neuropathy. The place of residence was most significantly associated with macrovascular complications including strokes and PAD. Unemployed respondents had a higher prevalence of retinal complications than employed ones. Similarly, respondents with high incomes were more likely to develop ischemic stroke and PAD than those with low and middle incomes. Obese patients have a greater likelihood of developing CAD, ischemic stroke, PAD, retinopathy, neuropathy, and diabetic foot. Further details are provided in Table2.

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The association between risk factors and chronic DM complications

This study identified significant associations (p < 0.05) between risk factors and macrovascular and microvascular complications of DM. Patients with uncontrolled HbA1c levels (HbA1c > 7%), those who did not adhere to their treatment regimen, and those who did not have regular follow-ups with physicians were at a higher risk of both macrovascular and microvascular complications of diabetes. Similarly, family history of DM is associated with increased rates of retinopathy and diabetic foot complications. Uncontrolled blood pressure is associated with CAD, ischemic stroke, PAD, retinopathy, nephropathy, and diabetic foot complications. This type of DM is associated with CAD, stroke, PAD, neuropathy, and diabetic foot complications. The history of DM for more than 10 years has been associated with CAD, ischemic stroke, PAD, retinopathy, nephropathy, and diabetic foot complications. Furthermore, non-use of lipid-reducing drugs was associated with ischemic stroke and PAD complications. Table3 presents detailed information.

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Results of multiple binary logistic regression analysis

Multiple binary logistic regression was used to identify factors contributing to diabetes-related macro- and microvascular complications. Males were less likely than females to experience nephropathy. Illiterate patients had a significantly greater chance of developing nephropathy and diabetic foot complications. Patients with low incomes were significantly less likely to have an ischemic stroke, however both low- and middle-income patients had a significantly lower risk of PAD. Unemployed respondents exhibited significantly higher likelihood of experiencing retinopathy than employed respondents. Obese respondents were significantly more likely to develop all macrovascular complications, along with one microvascular complication (neuropathy), compared to non-obese respondents. Patients who did not adhere to diabetes mellitus treatments were significantly more prone to developing all macro/micro-vascular complications, except for diabetic foot. Patients with no family history of DM were significantly less likely to develop retinopathy complication. Uncontrolled hypertensive respondents were significantly more likely to develop all macro/micro-vascular complications, except for neuropathy. Respondents with T1DM were significantly more likely to develop CAD and diabetic foot complications than those with T2DM, with odds ratios of 3.11 and 3.88 times, respectively. Furthermore, those who had diabetes for < 10 years were significantly less likely to develop CAD, ischemic stroke, PAD, retinopathy, and neuropathy, while 10-≤20 were significantly less likely to develop retinopathy and neuropathy than those who had diabetes for more than > 20 years. Moreover, patients with irregular physician follow-up were significantly more likely to develop retinopathy, along with all micro-vascular complications. Finally, our findings revealed that the use of a lipid-lowering drug (statin) significantly reduced the incidence of ischemic stroke and PAD complications. Further details are presented in Table4.

Full size table

Discussion

This study aimed to assess the prevalence of chronic diabetes complications and identify the contributing factors among patients with diabetes attending the Referral National Diabetes Center in Yemen. The findings indicated that 62.6% of respondents had experienced one or more chronic diabetes-related complications. The high rate of diabetes-related complications in Yemen can be attributed to catastrophic war and its consequences, including infrastructure destruction and healthcare system collapse. This has resulted in limited access to the necessary medical treatment, lack of health education, and insufficient follow-up care, all of which may lead to an increased risk of these complications. Such a high rate can also be attributed to insufficient patient knowledge and a lack of health education initiatives and diabetic-related programs [21]. Our findings are higher than previous results reported in the country in 2010, which were 25.4% [22]. Our findings are also higher than those reported in neighboring countries such as Saudi Arabia and Ethiopia, at 39.2% and 29.4%, respectively [23, 24]. However, our findings are lower than those of the United Arab Emirates (83.5%) [25]. The discrepancy in the prevalence rate of complications could be attributed to differences in the study samples, particularly in the case of a study conducted in the United Arab Emirates, which only included patients with T2DM. Additionally, this difference could be related to the efficient, accessible, and affordable healthcare in the UAE, facilitating early detection and reporting of complications.

It is worth noting that despite the high prevalence of diabetes in Saudi Arabia [26], Yemen exhibits a significantly higher prevalence of diabetes-related complications. The difference can be attributed to the availability of free healthcare, insured care, and enhanced treatment options. Moreover, access to newer medications and evidence-based care is more widespread in Saudi Arabia. This reinforces our earlier statement that prevalence can be attributed to devastating conflicts and their subsequent impact. Consequently, there is an urgent need to improve the healthcare infrastructure, ensure adequate provision of medical care, and prioritize health education programs for patients with diabetes in Yemen.

Concerning the sociodemographic characteristics of the respondents and their relationship to both diabetes-related macro- and microvascular complications, the findings of this study are consistent with those of previous studies, highlighting the association between the sociodemographic characteristics of diabetic patients and the development of diabetes-related macro- and microvascular complications [27, 28]. Factors such as uncontrolled blood sugar levels, urban residence, low-income status, non-adherence to medication, unhealthy diet, lack of physical activity, longer duration of T2DM, absence of cholesterol-lowering medications, and unemployment are associated with at least one of the diabetes-related macro- and microvascular complications [1, 27, 29, 30]. The findings are similar to those of previous studies conducted in Morocco, Sudan, and Egypt, which identified key risk factors for microvascular and macrovascular complications related to diabetes. These factors include poor glucose control, longer diabetes duration, inadequate physical activity, and uncontrolled hypertension. These findings highlight the importance of investigating these risk factors, particularly those that can be modified to enhance diabetes management, improve patients’ quality of life, and alleviate the burden on patients, families, and the healthcare system. These findings support the notion that a comprehensive understanding of risk factors associated with diabetes is crucial for improving diabetes management. Similarly, the current study found that those living in rural areas are more likely to get macrovascular complications including stroke and PAD. This disparity could be attributed to unequal access to healthcare services, varying levels of health literacy, or differences in socioeconomic status. These findings emphasize the necessity for public policies that prioritize the reduction of health disparities, advocate for equity among all populations, and implement targeted interventions for high-risk groups.

Another notable finding in this study was that, except for neuropathy (which had a slightly higher prevalence in males) and PAD (which had an equal prevalence), all diabetes-related macro- and microvascular complications were more prevalent in female with diabetes than in males. This could be attributed to differences in the composition of the recruited sample, which included a greater number of females than males. This finding may also be related to cultural and lifestyle factors. In Yemeni culture, males often have greater opportunities to engage in physical activity because of their daily work responsibilities as well as their active social engagement. These factors can potentially contribute to a lower risk of diabetes-related complications in males compared than in females. The disparities in macro/microvascular complications between males and females could also be attributed to healthcare access and biological factors. For instance, estrogen levels in women can affect vascular health and immune responses, potentially influencing complication rates. Additionally, in Yemen, women have less access to healthcare services compared to men, increasing their susceptibility to diabetes-related complications. According to previous studies, diabetic retinopathy is more prevalent in females [31, 32]. In contrast, Arambewela et al. [30], found that men have a higher prevalence of vascular complications than women do. The discrepancy in findings could be attributed to differences in the proportion of females in the study sample, which was larger than that in the current study.

Importantly, the outcomes of the multiple binary logistic regression analysis revealed that males were less likely than females to experience nephropathy. This is congruent with the findings of Fan Zhang et al. [33], who found a higher prevalence of diabetic nephropathy among female participants than males. The variation could be attributed to disparities in healthcare-seeking behavior, comorbidities, or adherence to treatment regimens between men and women. Likewise, illiterate patients were significantly more likely to develop nephropathy and diabetic foot complications, possibly due to limited knowledge of diabetic self-care practices and challenges in maintaining controlled blood sugar levels. These findings align with previous study indicating that individuals with lower educational levels are at a heightened risk of developing diabetes and its associated complications [34]. Furthermore, patients with low to middle incomes, as well as those who are unemployed, were found to be at a higher risk of developing diabetes-related complications. This could be attributed to various factors, such as disparities in access to healthcare, availability of health insurance coverage, differences in lifestyle choices, and variations in social and economic circumstances. This finding is similar to the finding reported in a study conducted by Berhe, Mselle, and Gebru in 2023, which found that patients with government employment had a decreased likelihood of developing chronic diabetes complications [35]. According to a meta-analysis, there is a notable correlation between unemployment and an increased risk of prediabetes, T2DM, and related complications [36]. This could be due to the fact that low to middle incomes and unemployed people frequently have financial constraints, limiting their abilities to purchase healthcare, transportation, nutritional food, and leisure activities. Likewise, non-obese respondents had a lower likelihood of developing CAD, retinopathy, and neuropathy than obese respondents. This highlights the importance of weight management for improving glycemic control and preventing diabetic complications. Furthermore, non-obese diabetics may benefit from better lifestyles, including well-balanced diets and regular physical activity, thereby lowering the risk of CAD, retinopathy, and neuropathy. This finding is consistent with studies conducted in several countries, including Tanzania [37], southern Benin [38], and Sudan [39].

Furthermore, diabetic respondents with uncontrolled hypertension were more likely to develop macro/microvascular complications than those with controlled hypertension. Diabetes and hypertension are widely recognized risk factors for CAD. Consequently, patients with diabetes and uncontrolled hypertension have a significantly higher risk of developing CAD than those without. This finding is consistent with earlier studies that highlighted the association between diabetes, uncontrolled hypertension, and CAD, and recommended an effective care strategy for patients with diabetes, uncontrolled hypertension, and CAD [24, 40].

Additional predictors identified in this study included the type and duration of diabetes as well as regular physician visits. The findings indicated that patients with T2 DM who had diabetes for 5–10 years and maintained regular physician follow-up had a lower risk of developing complications such as retinopathy, nephropathy, neuropathy, CAD, ischemic stroke, PAD, and diabetic foot complications. In contrast, patients with T1DM who had diabetes for > 15 years and did not have regular physician follow-up had a higher likelihood of experiencing these complications. This could be due to the persistently high blood sugar levels, which can cause significant organ damage. The findings emphasize the need to take preventative steps, such as regular check-ups, consultation with doctors, and following a healthy diet and lifestyle. These precautions could effectively prevent or delay the onset of DM-related complications. The findings of the present study are consistent with the findings of several studies that highlighted the relationship between risk factors and the progress of diabetes-related complications [24, 41,42,43]. The findings of these studies support our earlier suggestions of controlling risk factors, specifically modifiable risk factors, to prevent or delay diabetes-related complications. Similarly, the use of a lipid-lowering drug (statin) reduces the incidence of PAD and ischemic stroke complications. This finding is supported by several studies that found that statin use was associated with a lower risk of PAD and ischemic stroke complications in patients [44,45,46]. Nevertheless, additional studies are required to investigate when healthcare providers determine the initiation and escalation of statin dosages. Specifically, it is necessary to determine whether the decision is based on lipid profile values or guided by the occurrence of the disease, as indicated by established guidelines.

Conclusion and recommendations

Chronic complications related to diabetes are common among patients in Yemen. Factors such as unemployment, obesity, non-adherence to diabetes regimens, uncontrolled hypertension, longer duration of T1DM, and irregular physician check-ups were identified as key predictors of these complications. Implementation of the WHO non-communicable disease package is strongly recommended. This package comprises comprehensive measures aimed at detecting, treating, preventing, and controlling diabetic complications and ultimately improving the overall management of diabetes in Yemen.

Limitations of the study

This study has several limitations that were beyond the author’s control. First, as a cross-sectional study, it did not provide insights into the cause-and-effect relationship between chronic diabetes-related complications and the associated factors examined. Second, HbA1c values were obtained from patients’ records rather than assessed at the time of the study. The diagnosis of microvascular and macrovascular complications was based on patients’ electronic records. Another limitation is that this study did not evaluate the severity or outcomes of chronic complications.

Data availability

The dataset related to this study is available from the corresponding author upon request.

Abbreviations

DM:

Diabetes mellitus

T1DM:

Type 1 diabetes mellitus

T2DM:

Type 2 diabetes mellitus

CAD:

Coronary artery disease

PAD:

Peripheral arterial disease

WHO:

World Health Organization

IBM SPSS:

Statistical Package for Social Sciences

References

  1. Al Mansour MA. The prevalence and risk factors of type 2 diabetes mellitus (DMT2) in a semi-urban Saudi population. Int J Environ Res Public Health. 2020;17(1):7.

    Article Google Scholar

  2. Al Dawish MA, Robert AA. Diabetes mellitus in Saudi Arabia: challenges and possible solutions. Handbook of healthcare in the Arab world. edn.: Springer; 2021. pp. 1083–100.

  3. Patel B, Priefer R. Infections associated with diabetic-care devices. Diabetes Metabolic Syndrome: Clin Res Reviews. 2021;15(2):519–24.

    Article CAS Google Scholar

  4. Suliman SA, Abdelaziz SI. Barriers to insulin therapy initiation by adult type 2 diabetics at family health centers in Sudan. SAS J Med. 2024;10:1163–75.

    Article Google Scholar

  5. Khan R, Siddiqui AA, Alshammary F, Shaikh S, Amin J, Rathore HA. Diabetes in the Arab world. Handbook of healthcare in the Arab world. edn.: Springer; 2021. pp. 1029–51.

  6. Creating awareness on. diabetes, encourage early diagnosis and improve diabetes management and care in Yemen. [https://www.worlddiabetesfoundation.org/projects/yemen-wdf11-627]

  7. Bin-Ghouth AS, Al-Hamed RA, Bin-Sema MA, Bin-Askar AH, Kanad ES, Muhaimudan MZ, khamis, Ba-Gubair A, Askander AA, Balhman MM, Blhmad NH. Diabetes Mellitus Among Hospitalized Patients in Mukalla City, Yemen: Prevalence, symptoms and complications. 2021.

  8. Abdulaziz Al Dawish M, Alwin Robert A, Braham R, Abdallah Al Hayek A, Al Saeed A, Ahmed Ahmed R. Sulaiman al Sabaan F: diabetes mellitus in Saudi Arabia: a review of the recent literature. Curr Diabetes Rev. 2016;12(4):359–68.

    Article Google Scholar

  9. Bermudez-Tamayo C, Besançon S, Johri M, Assa S, Brown JB, Ramaiya K. Direct and indirect costs of diabetes mellitus in Mali: A case-control study. PLoS ONE. 2017;12(5):e0176128.

    Article PubMed PubMed Central Google Scholar

  10. Awadalla H, Noor SK, Elmadhoun WM, Almobarak AO, Elmak NE, Abdelaziz SI, Sulaiman AA, Ahmed MH. Diabetes complications in Sudanese individuals with type 2 diabetes: overlooked problems in sub-Saharan Africa? Diabetes Metabolic Syndrome: Clin Res Reviews. 2017;11:S1047–51.

    Article Google Scholar

  11. Rask-Madsen C, King GL. Vascular complications of diabetes: mechanisms of injury and protective factors. Cell Metabol. 2013;17(1):20–33.

    Article CAS Google Scholar

  12. Vajdi M, Karimi A, Farhangi MA, Ardekani AM. The association between healthy lifestyle score and risk of metabolic syndrome in Iranian adults: a cross-sectional study. BMC Endocr Disorders. 2023;23(1):1–12.

    Google Scholar

  13. El Alami H, Haddou I, Benaadi G, Lkhider M, El Habchi D, Wakrim L, Nabih N, Abidi O, Khlil N, Maaroufi A, et al. Prevalence and risk factors of chronic complications among patients with type 2 diabetes mellitus in Morocco: a cross-sectional study. Pan Afr Med J. 2022;41:182.

    PubMed PubMed Central Google Scholar

  14. Awadalla H, Noor SK, Elmadhoun WM, Almobarak AO, Elmak NE, Abdelaziz SI, Sulaiman AA, Ahmed MH. Diabetes complications in Sudanese individuals with type 2 diabetes: overlooked problems in sub-Saharan Africa? Diabetes Metab Syndr. 2017;11(Suppl 2):S1047–51.

    Article PubMed Google Scholar

  15. Abouzid MR, Ali K, Elkhawas I, Elshafei SM. An overview of diabetes mellitus in Egypt and the significance of integrating preventive cardiology in diabetes management. Cureus. 2022;14(7):e27066.

    PubMed PubMed Central Google Scholar

  16. Naeem Z. Burden of diabetes mellitus in Saudi Arabia. Int J Health Sci. 2015;9(3):V.

    Google Scholar

  17. Al Washali AY, Azuhairi AA, Hejar AR, Amani YW. Prevalence and associated risk factors of diabetic peripheral neuropathy among diabetic patients in National center of diabetes in Yemen. Int J Public Health Clin Sci. 2014;1(1):141–50.

    Google Scholar

  18. Murad MA, Abdulmageed SS, Iftikhar R, Sagga BK. Assessment of the common risk factors associated with type 2 diabetes mellitus in Jeddah. Int J Endocrinol. 2014;2014:616145.

    Article PubMed PubMed Central Google Scholar

  19. Bamashmus MA, Gunaid AA, Khandekar RB. Diabetic retinopathy, visual impairment and ocular status among patients with diabetes mellitus in Yemen: a hospital-based study. Indian J Ophthalmol. 2009;57(4):293.

    Article PubMed PubMed Central Google Scholar

  20. WHO. The WHO STEPwise approach to chronic disease risk factor surveillance. Geneva: World Health Organization; 2005.

    Google Scholar

  21. Saghir SAM, Alhariri AEA, Alkubat SA, Almiamn AA, Aladaileh SH, Alyousefi NA. Factors associated with poor glycemic control among type-2 diabetes mellitus patients in Yemen. Trop J Pharm Res. 2019;18(7):1539–46.

    Article Google Scholar

  22. Al Khawlani A, Atef ZA, Al Ansi A. Macrovascular complications and their associated risk factors in type 2 diabetic patients in Sana’a city, Yemen. EMHJ-Eastern Mediterranean Health Journal. 2010 2010;16(8):851–858.

  23. Alshahrani JA, Alshahrani AS, Alshahrani AM, Alshalaan AM, Alhumam MN, Alshahrani Iv NZ. The impact of diabetes mellitus duration and complications on Health-Related quality of life among type 2 diabetic patients in Khamis mushit City, Saudi Arabia. Cureus 2023, 15(8).

  24. Sheleme T, Mamo G, Melaku T, Sahilu T. Prevalence, patterns and predictors of chronic complications of diabetes mellitus at a large referral hospital in Ethiopia: a prospective observational study. Diabetes Metabolic Syndrome Obes 2020:4909–18.

  25. Negash Z, Yismaw M. Management practice and contributing risk factors for chronic complications among type 2 diabetes mellitus adult patients in follow-up at a tertiary care teaching hospital. Diabetes Metabolic Syndrome Obes 2020:3969–76.

  26. Arawi A, Ahmed W, Shaman A, Salamh U, Albalawi WAM, Siddhachettiar PA, El-kannishy SMH, Bagalagel A, Diri R, Aljabri A. Association of demographic variables with the awareness of type 2 diabetes mellitus patients (T2DM) among the northwest population in Saudi Arabia. Journal of Diabetes Research. 2020;2020.

  27. Iradukunda A, Kembabazi S, Ssewante N, Kazibwe A, Kabakambira JD. Diabetic complications and associated factors: a 5-year Facility-Based retrospective study at a tertiary hospital in Rwanda. Diabetes Metabolic Syndrome Obesity: Targets Therapy 2021:4801–10.

  28. Ceriello A, Prattichizzo F. Variability of risk factors and diabetes complications. Cardiovasc Diabetol. 2021;20(1):1–11.

    Article Google Scholar

  29. Sheleme T, Mamo G, Melaku T, Sahilu T. Prevalence, patterns and predictors of chronic complications of diabetes mellitus at a large referral hospital in Ethiopia: a prospective observational study. Diabetes Metabolic Syndrome Obesity: Targets Therapy. 2020;13:4909.

    Article PubMed CAS Google Scholar

  30. Arambewela MH, Somasundaram NP, Jayasekara HBPR, Kumbukage MP, Jayasena PMS, Chandrasekara CMPH, Fernando KRAS, Kusumsiri DP. Prevalence of chronic complications, their risk factors, and the cardiovascular risk factors among patients with type 2 diabetes attending the diabetic clinic at a tertiary care hospital in Sri Lanka. J Diabetes Res. 2018;2018(1):4504287.

    PubMed PubMed Central Google Scholar

  31. Maluleke KD. Prevalence and departments of diabetic retinopathy in Maruleng Healthcare Facilities, Mopani District in Limpopo. 2021.

  32. Mokhtarpour K, Yadegar A, Mohammadi F, Aghayan SN, Seyedi SA, Rabizadeh S, Esteghamati A, Nakhjavani M. Impact of gender on chronic complications in participants with type 2 diabetes: evidence from a Cross-Sectional study. Endocrinol Diabetes Metabolism. 2024;7(3):e488.

    Article Google Scholar

  33. Zhang F, Han Y, Zheng G, Li W. Gender differences in the incidence of nephropathy and changes in renal function in patients with type 2 diabetes mellitus: A retrospective cohort study. Diabetes Metab Syndr Obes. 2024;17:943–57.

    Article PubMed PubMed Central Google Scholar

  34. Talukder A, Hossain MZ. Prevalence of diabetes mellitus and its associated factors in Bangladesh: application of Two-level logistic regression model. Sci Rep. 2020;10(1):10237.

    Article PubMed PubMed Central Google Scholar

  35. Berhe KK, Mselle LT, Gebru HB. The magnitude of chronic diabetes complications and its associated factors among diabetic patients attending the general hospitals in Tigray region, Northern Ethiopia. PLoS ONE. 2023;18(8):e0290240.

    Article PubMed PubMed Central CAS Google Scholar

  36. Cuddapah GV, Chennakesavulu PV, Pentapurthy P, Vallakati M, Kongara A, Reddivari P, Singareddy S, Chandupatla KP, Swamy M, Cuddapah G. Complications in diabetes mellitus: social determinants and trends. Cureus 2022, 14(4).

  37. Damian DJ, Kimaro K, Mselle G, Kaaya R, Lyaruu I. Prevalence of overweight and obesity among type 2 diabetic patients attending diabetes clinics in Northern Tanzania. BMC Res Notes. 2017;10:1–6.

    Article Google Scholar

  38. Alaofè H, Hounkpatin WA, Djrolo F, Ehiri J, Rosales C. Knowledge, attitude, practice and associated factors among patients with type 2 diabetes in Cotonou, Southern Benin. BMC Public Health. 2021;21:1–11.

    Article Google Scholar

  39. Ali YA, Almobarak AO, Awadalla H, Elmadhoun WM, Ahmed MH. Obesity among Sudanese adults with diabetes: a population-based survey. Annals Translational Med 2017, 5(12).

  40. Kamishima K, Ogawa H, Jujo K, Yamaguchi J, Hagiwara N. Relationships between blood pressure Lowering therapy and cardiovascular events in hypertensive patients with coronary artery disease and type 2 diabetes mellitus: the HIJ-CREATE sub-study. Diabetes Res Clin Pract. 2019;149:69–77.

    Article PubMed CAS Google Scholar

  41. Al Nozha OM. Diabetes care and control: the effect of frequent visits to diabetes care center. Ann Saudi Med. 2014;34(3):229–34.

    Article PubMed Central Google Scholar

  42. Shrivastav M, Gibson W Jr, Shrivastav R, Elzea K, Khambatta C, Sonawane R, Sierra JA, Vigersky R. Type 2 diabetes management in primary care: the role of retrospective, professional continuous glucose monitoring. Diabetes Spectr. 2018;31(3):279–87.

    Article PubMed PubMed Central Google Scholar

  43. Dimore AL, Edosa ZK, Mitiku AA. Glycemic control and diabetes complications among adult type 2 diabetic patients at public hospitals in Hadiya zone, Southern Ethiopia. PLoS ONE. 2023;18(3):e0282962.

    Article PubMed PubMed Central CAS Google Scholar

  44. Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, Barnes EH, Voysey M, Gray A, Collins R, Baigent C. The effects of Lowering LDL cholesterol with Statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet (London England). 2012;380(9841):581–90.

    Article PubMed CAS Google Scholar

  45. Temporelli PL, Arca M, D’Erasmo L, De Caterina R. Lipid-lowering therapy in patients with coronary heart disease and prior stroke: mission impossible? J Clin Med. 2021;10(4):886.

    Article PubMed PubMed Central CAS Google Scholar

  46. Corrado E, Mignano A, Coppola G. Use of Statins in patients with peripheral artery disease. Trends Cardiovasc Med. 2020;30(5):257–62.

    Article PubMed CAS Google Scholar

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Acknowledgements

The author thanks all diabetic patients who participated in the study as well as the supportive personnel, including healthcare professionals who interviewed respondents and performed physical assessments, for their cooperation. Additionally, many thanks are extended to all staff at the referral national diabetic center in Sana’a, Yemen, for their collaboration.

Funding

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Authors and Affiliations

  1. Department of Community Health, College of Nursing, University of Hail, Hail, 2440, Saudi Arabia

    Gamil Ghaleb Alrubaiee

  2. Department of Community Health and Nutrition, Al-Razi University, Sana’a, Yemen

    Gamil Ghaleb Alrubaiee

Authors

  1. Gamil Ghaleb Alrubaiee

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Contributions

GGA confirmed the sole responsibility for the following tasks: conceptualizing and designing the study, collecting data, analyzing and interpreting the results, and writing and approving the final manuscript.

Corresponding author

Correspondence to Gamil Ghaleb Alrubaiee.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Al Razi University Human Research Ethics Committee (Ref: RU/ 070/FOMS/2021) before it began. All eligible patients who visited the National Diabetes Center during the study period provided informed consent. They were also informed that their participation was entirely voluntary, that anonymity would be maintained, and that they could withdraw at any time.

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Not applicable.

Competing interests

The authors declare no competing interests.

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Prevalence of chronic diabetic complications and associated risk factors among follow-up diabetic patients: estimates from a referral national diabetes center in Yemen (1)

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Alrubaiee, G.G. Prevalence of chronic diabetic complications and associated risk factors among follow-up diabetic patients: estimates from a referral national diabetes center in Yemen. BMC Endocr Disord 25, 68 (2025). https://doi.org/10.1186/s12902-025-01893-5

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  • DOI: https://doi.org/10.1186/s12902-025-01893-5

Keywords

  • Diabetes mellitus
  • Prevalence
  • Complications
  • Associated factors
  • Yemen
Prevalence of chronic diabetic complications and associated risk factors among follow-up diabetic patients: estimates from a referral national diabetes center in Yemen (2025)
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