Abdullah Alsabaani

Dr. Abdullah Alsabaani

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 December 2016 in Journal of Diabetes Research
Verified
Journal Article
Open access
PDF file
MBMohammed Badedi
Mohammed Badedi
YSyahia solan
yahia solan
HDHussain Darraj
Hussain Darraj
ASAbdullah Sabai
Abdullah Sabai
MMMohamed Salih Mahfouz
Mohamed Salih Mahfouz
AAAbdullah Alsabaani
Abdullah Alsabaani
Aims.This study assessed factors associated with glycemic control among Saudi patients with Type 2 diabetes mellitus (T2DM).Methods.We conducted an analytical cross-sectional study, which included a random sample of 288 patients with T2DM proportional to the diabetes population of each primary health care center in Jazan city, Kingdom of Saudi Arabia.Results.More than two-thirds (74%) of patients had poor glycemic control. Lack of education, polypharmacy, and duration of diabetes ≥ 7 years were significantly associated with higher glycated hemoglobin (HbA1c). Moreover, patients who were smoker or divorced were significantly more likely to have higher HbA1c. The patients who did not comply with diet or take their medications as prescribed had poor glycemic control. The study found lower HbA1c levels among patients who received family support or had close relationship with their physicians. Similarly, knowledgeable patients towards diabetes or those with greater confidence in ability to manage self-care behaviors had a lower HbA1c. In contrast, risk factors such as depression or stress were significantly correlated with poorer glycemic control.Conclusion.The majority of T2DM patients had poor glycemic control. The study identified several factors associated with glycemic control. Effective and tailored interventions are needed to mitigate exposure to these risk factors. This would improve glycemic control and reduce the risks inherent to diabetes complications.

1 January 2018 in Journal of Family and Community Medicine
Verified
Journal Article
Open access
SASAFAR ABADI
SAFAR ABADI
AAAbdullah Alsabaani
Abdullah Alsabaani
RAReemS Alamri
ReemS Alamri
RHRawanA Hadi
RawanA Hadi
MAMonaH Alkhayri
MonaH Alkhayri
AAAbdulrahmanM Al-Bishi
AbdulrahmanM Al-Bishi
Y was to determine the frequency and types of violence against healthcare workers in a Saudi Arabian city. It was also to identify the risk factors of violence against healthcare workers and to investigate the possible consequences of such behavior. MATERIALS AND METHODS: In Abha city, there are two government hospitals and ten primary healthcare centers. All healthcare workers in these healthcare institutions including physicians, nurses, dentists, pharmacists, laboratory technicians or specialists, radiologists, social workers, and psychologists were eligible to participate in this cross-sectional study. Data were collected using a structured self-administered questionnaire. RESULTS: A total of 738 healthcare workers responded (92% response rate). The mean age was 31 ± 7.7 years (range 21–60) and the majority (64.9%) were females and 69.4% were Saudis. More than half (57.5%) had experienced some workplace violence at least once. Verbal assaults and slaps were the most common form of workplace-related violence (58%). CONCLUSIONS: Violence against healthcare workers in Abha city is more common, especially against nurses. The reasons need to be explored in order to set and develop policies, regulations and interventions to prevent violence against workers....

1 June 2019 in Diabetes, Metabolic Syndrome and Obesity
Verified
Journal Article
Open access
PDF file
HDHussain Darraj
Hussain Darraj
MBMohammed Badedi
Mohammed Badedi
KPKirsten R Poore
Kirsten R Poore
AHAbdulrahman Hummadi
Abdulrahman Hummadi
AKAbdullah Khawaji
Abdullah Khawaji
AAAbdullah Alsabaani
Abdullah Alsabaani
Background: The prevalence of vitamin D deficiency (VDD) is predicted to be high in patients with type 2 diabetes mellitus (T2DM), but the exact figure is not known in Jazan, Saudi Arabia. Emerging data suggests that VDD plays a role in glycemic control. The aim of this study was to measure the prevalence of VDD among T2DM patients and to investigate its association with patients’ characteristics and glycemic control in Jazan. Methods: This is an analytical cross-sectional study which recruited 309 patients with T2DM randomly from primary health care centers in Jazan. Logistic regression analysis was conducted to determine the VDD predictors and to examine the association of VDD and glycemic control. Results: The VDD prevalence was found to be 60.8% in patients with T2DM. Age, gender, diabetic retinopathy (DR), dyslipidemia, glycemic control, and obesity were significantly associated with VDD, and all except obesity were independent predictors of VDD. There was a significant negative correlation between 25-hydroxyvitamin D and HbA1c. VDD was a significant independent predictor of poor glycemic control after adjustment for hypertension, DR, diabetic neuropathy, type of diabetes medication, diabetes duration, and education level. Conclusion: In this Saudi Arabian population, VDD is highly prevalent in people with T2DM and is associated with poor glycemic control. Health education targeting patients with T2DM and national strategies regarding vitamin D fortification are needed to prevent VDD in Saudi Arabia. Earlier VDD diagnosis by health care providers may help to improve the outcome for patients with T2DM. Establishing the causal association between VDD and glycemic control and clarifying the biological role of vitamin D in T2DM are important aims for future studies.

1 September 2018 in Diabetes, Metabolic Syndrome and Obesity
Verified
Journal Article
Open access
PDF file
ADAbdulaziz Darraj
Abdulaziz Darraj
MMMohamed Salih Mahfouz
Mohamed Salih Mahfouz
AAAbdullah Alsabaani
Abdullah Alsabaani
MSMubarack Sani
Mubarack Sani
AAAnwar Alameer
Anwar Alameer
Background: Poor sleep quality is common among patients with diabetes. It is associated with negative physical, psychological, and functional consequences. However, the implicated risk factors of poor sleep quality remain uncertain. Objectives: This study aimed to determine the prevalence of poor sleep quality among patients with diabetes and to investigate the factors associated with the poor sleep quality. Patients and methods: An analytical cross-sectional study of 307 diabetic patients in Jazan, Saudi Arabia was conducted in 2018. A multistage cluster random sampling was used to select the study participants. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Data on patient’s characteristics were gathered via patients’ interviews, and medical data were collected based on the patients’ files. Logistic regression analysis was used to identify the predictors of poor sleep quality. Results: The mean score of PSQI was 5.29±2.73. The prevalence of poor sleep quality was 55.4% (95% CI 49.7–60.8). Sociodemographic and clinical factors were significantly associated with poor sleep quality, such as being elderly, female, illiterate, smoker, complications of diabetes, comorbidity, or psychological symptoms. However, female gender was the strongest predictor of reporting poor quality of sleep, OR= 3.69, 95% CI 1.65–8.28 (P<0.001). Conclusion: Poor sleep quality among diabetic patients is a prevalent health problem. Many factors can affect sleep quality. Health care providers may consider routine screening for and address sleep problems among diabetic patients.

IAIbraheem Asere
Ibraheem Asere
NANabil Awadalla
Nabil Awadalla
HAHassan Al-Musa
Hassan Al-Musa
AAAbdullah Alsabaani
Abdullah Alsabaani
AMAhmed Mahfouz
Ahmed Mahfouz
Despite the significant role of seasonal influenza vaccination in preventing and minimizing the serious complications of influenza infection in type 2 diabetes mellitus (T2DM) patients, unsatisfactory compliance still exists for vaccination. Study objectives were to explore the vaccination status and determinants in T2DM patients in southwestern Saudi Arabia. A cross-sectional study on a representative sample of T2DM patients in Abha city, southwestern Saudi Arabia, was conducted. Data for sociodemographic characteristics, clinical criteria, vaccination status, vaccination motivators and barriers and seasonal influenza knowledge were collected. Out of 353 T2DM patients included in the study, seasonal influenza vaccination coverage was 61% in year 2017. A significant factors associated with non-vaccination were; poor influenza and its vaccine knowledge (OR = 4.31, 95% CI: 2.73–6.80), illiteracy (OR = 1.93, 95% CI: 1.11–3.37), and more than 10 years disease duration (OR = 2.07, 95% CI: 1.11–3.87). Presence of family history of DM and ischemic heart comorbidity minimized the possibility of non-vaccination (OR = 0.54 and 0.28 respectively). Healthcare givers’ advice was the most reported vaccination motivator (84.7%) while; fear of vaccine side effects was the most stated barrier (73%). In conclusion, influenza vaccination rate among T2DM in the present study is less than the recommended level. Continuous primary health care center-based educational programs should be implemented to aware and encourage influenza vaccination among T2DM patients.

AAAbdullah Alsabaani
Abdullah Alsabaani
AMAhmed Mahfouz
Ahmed Mahfouz
NANabil Awadalla
Nabil Awadalla
MMMustafa Jafar Musa
Mustafa Jafar Musa
SHSuliman M. Al Humayed
Suliman M. Al Humayed
The objective of this study was to determine the prevalence and the factors associated with non-alcoholic fatty liver disease (NAFLD) among type-2 diabetes mellitus (T2DM) patients in Abha City, Southwestern Saudi Arabia. Using a cross-sectional study design, a representative sample of 245 T2DM patients were recruited from all primary healthcare centers in Abha city. A detailed medical history as well as laboratory investigations were done. NAFLD was diagnosed using abdominal ultrasound examination. The overall prevalence of NAFLD was 72.8% (95% CI: 66.6%–78.1%). In a multivariable regression analysis, the risk of NAFLD was significantly higher among overweight T2DM patients (aOR = 6.112, 95% CI: 1.529–4.432), Obese (aOR = 10.455, 95% CI: 2.645–41.326), with high ALT of more than 12 IU/L (aOR = 2.335, 95% CI: 1.096–5.062), moderate diet-compliant patients (aOR = 2.413, 95% CI: 1.003–5.805) and poor diet-compliant patients (aOR = 6.562, 95% CI: 2.056–20.967). On the other hand, high HDL (high density cholesterol) (in mg/dL) was a protective factor for NAFLD (aOR = 0.044, 95% CI: 0.005–0.365). It was concluded that NAFLD is a common association of T2DM. Increasing BMI (Body mass index), lower HDL level, and poor dietary control are significant factors associated with NAFLD among T2DM patients. Health education to improve dietary control and avoid excessive weight gain, testing for NAFLD among diabetic patients, especially those with abnormal BMI and HDL, are recommended for early detection and to ensure optimal levels of HDL.