Prevalence of overweight and obesity based on the body mass index; a cross-sectional study in Alkharj, Saudi Arabia

Al-Ghamdi, Sameer; Shubair, Mamdouh M.; Aldiab, Abdulrahman; Al-Zahrani, Jamaan; Aldossari, Khaled K.; Househ, Mowafa; Nooruddin, Shanila; Razzak, Hira Abdul; El-Metwally, Ashraf

doi:10.1186/s12944-018-0778-5

Cited by 68 publications

(72 citation statements)

References 31 publications

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“…Age (OR: 3.180), occasional dental visits (OR: 5.965), smoking >10 cigarettes (OR: 11.868), fair (OR: 5.391), poor oral hygiene status (OR: 17.250), loss of attachment (OR: 6.172) and BMI =/>40 (OR: 4.458) were found to have the most significantly higher risk for having periodontal disease. The findings are similar to previous results [15,30] where these factors have been shown to increase the risk for periodontal disease. Since all the risk factors other than age are modifiable, awareness regarding a healthy lifestyle, introduction of smoking cessation programs, improved oral hygiene methods along with bodyweight management are needed to reduce periodontal disease burdens.…”

Section: Discussionsupporting

confidence: 92%

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Prevalence of Periodontal Disease among Obese Young Adult Population in Saudi Arabia—A Cross-Sectional Study

Thomas

Ahmed

et al. 2020

Medicina

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Background and objectives: We aimed to assess the prevalence of periodontal disease among obese young adults in Saudi Arabia and to analyze the association between different body mass indexes and the severity of periodontal disease. Materials and methods: This descriptive cross-sectional study consisted of 307 obese patients aged 18–39 years, with body mass index (BMI) ≥30. Demographic variables for periodontal disease, anthropometric parameters such as BMI along with clinical parameters such as oral hygiene index-simplified, community periodontal index (CPI) score and loss of attachment (LOA), were assessed. Multivariate binary logistic regression analysis was used to identify the predictors for chronic periodontitis in obese young adults between 18–40 years of age. Results: The majority of the participants (71.3%) had periodontal disease. Obese and extremely obese patients together showed a statistically significant difference in the age group of 21-30 years in terms of CPI score for inflammation (p < 0.05) and LOA (p < 0.001). Logistic regression analysis showed age (OR: 3.180; 95%CL: 1.337–7.561; p <.001), occasional dental visit (OR: 5.965; 95%CL: 3.130–11.368; p < 0.001), smoking >10 cigarettes (OR: 11.868; 95%CL: 3.588–39.254; p < 0.001) and poor oral hygiene status (OR: 17.250; 95%CL: 6.958–42.764; p < 0.001) were associated with a significantly higher risk of having periodontal disease. Conclusions: This study showed a high prevalence of periodontal disease in obese patients among the Saudi Arabian population.

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Section: Discussionsupporting

confidence: 92%

“…Similarly, a high prevalence of obesity was found among the adult population of Saudi Arabia. Increasing BMI showed a linear positive association in terms of older age groups among both males and females [15].…”

Section: Introductionmentioning

confidence: 88%

Prevalence of Periodontal Disease among Obese Young Adult Population in Saudi Arabia—A Cross-Sectional Study

Thomas

Ahmed

et al. 2020

Medicina

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“…In addition, several previous regional cross-sectional studies have indicated variations in obesity prevalence in the Kingdom [21,24,25]. Although these rates varied between regions due to limited sample size and differences in age groups, their ndings consistently align with our ndings on the higher obesity prevalence among women.…”

Section: Discussionsupporting

confidence: 89%

The use of electronic health records to examine the association between obesity and chronic conditions: Results from a population-based sample in Saudi Arabia

Alghnam¹,

Alessi²,

Bosaad³

et al. 2020

Preprint

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BackgroundObesity is a growing public health problem worldwide. Over the past few decades, the prevalence of obesity has increased significantly in Saudi Arabia, putting population health at an increased risk of mortality and morbidity. Because of the wide variation in previous local estimates, this study used electronic records of a population-based sample to estimate the prevalence of obesity and its association with diabetes and hypertension.MethodsThis study used records from five hospitals in the National Guard Health Affairs, which provides medical service to about a million beneficiaries. We included individuals aged 17 years or older who visited any outpatient clinic in the past four years (2016-2019). Body mass index (BMI) was measured before the doctor’s encounter. Patients were classified as diabetic or hypertensive if they had any visit during the four years, where the primary diagnosis was one of those conditions or if the patient was taking medications. The associations between obesity (BMI>30) and diabetes and hypertension were evaluated using a multiple logistic regression model adjusting for age, gender, nationality, and region.ResultsA total of 616,092 individuals were included. Of them, 55.0% were females, and the majority were Saudi nationals (93.1%). Approximately 68% of the population were either obese (38.9%) or overweight (29.30%). Obesity was more prevalent among Saudi nationals (39.8% vs. 26.7%, p<0.01) and females (45.3% vs. 31. 2%, p<0.01). Compared to those younger than 26 years of age, those older than 65 years were over 27 times more likely to have diabetes (OR= 27.3, p<0.01). In addition, obesity was independently associated with diabetes mellitus (OR= 2.24, p<0.01) and hypertension (OR= 2.15, p<0.01).ConclusionsThe prevalence of obesity in the study population was high, and more pronounced among women. Our findings call for efforts to intensify preventive measures to reduce obesity and associated conditions. Using electronic records to examine the impact of interventions to reduce obesity and chronic conditions may help monitor and improve population health.

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“…Lifestyle in Saudi Arabia is changing so rapidly that according to a recent study, the incidence of obesity has been reported to be around 54% in the adult population of Saudi Arabia. 2 A Saudi Arabia study published in 2017 reported the incidence of type II DM from 17.7-25.7% in adults with more incidence in females. 3 Saudi Arabia is having the highest prevalence of DM in the Middle east.…”

Section: Introductionmentioning

confidence: 99%

<p>Association of Dyslipidemia and Comorbidities with Risk Factors Among Diabetic Patients: A Retrospective Analysis</p>

Gazzaz¹,

Iftikhar²,

Jameel³

et al. 2020

DMSO

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Purpose: To find out the association of dyslipidemia and comorbidities with risk factors among type-2 diabetes mellitus (T2DM) patients attending King Abdulaziz University Hospital (KAUH) Jeddah, Saudi Arabia (SA). Patients and Methods: Three hundred and twenty-five T2DM patients were enrolled from the electronic record of the KAUH. The patients' existing comorbidities and dyslipidemia correlation with demographic, clinical, and available laboratory data were sought. Statistical analysis was performed on SPSS-23. Results: Of the total 325 T2DM patients with a mean age of 60.13±10.5 years [males 95 (29.23%) and females 230 (70.77%)] were included from the electronic record. Poor glycemic control was observed in 222 (68.31%) subjects (HbA1c > 7%), and 154 (47.39%) subjects had DM for more than ten years. Among our study subjects, 103 (31.69%) were hypertensive (HTN), 112 (34.46%) had ischemic heart disease (IHD), 45 (13.85%) were obese, 8(2.46%) had a stroke and 269 (82.77%) had dyslipidemia. Of the total 269 dyslipidemic patients,168 (62.45%) were on hypolipidemic treatment. On comparison of study variables according to dyslipidemia versus normal lipid levels, the lipid profile, including HDLc, LDLc, TC, and TG, revealed a highly significant difference (p-value <0.001) whereas many variables were not significantly different. HBA1c, FBG, and RBG were significantly higher in dyslipidemic subjects. Logistic regression analysis of risk factors and comorbidities in our patients revealed that age 60-69 years and 70-79 years had a significant association with comorbidities. Similarly, logistic regression analysis of risk factors and dyslipidemia in our patients revealed no statistically significant association. Conclusion: Our results observed that the comorbidities were associated with increasing age and common comorbidities were HTN, IHD, dyslipidemia. Our study has highlighted the current trends in T2DM symptomatology and comorbidities. Efficient management and control by early screening and developing healthy lifestyles in our patients can be very helpful in the prevention of all these highly morbid complications of this preventable disease.

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Prevalence of overweight and obesity based on the body mass index; a cross-sectional study in Alkharj, Saudi Arabia

Cited by 68 publications

References 31 publications

Prevalence of Periodontal Disease among Obese Young Adult Population in Saudi Arabia—A Cross-Sectional Study

Prevalence of Periodontal Disease among Obese Young Adult Population in Saudi Arabia—A Cross-Sectional Study

The use of electronic health records to examine the association between obesity and chronic conditions: Results from a population-based sample in Saudi Arabia

<p>Association of Dyslipidemia and Comorbidities with Risk Factors Among Diabetic Patients: A Retrospective Analysis</p>

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