scholarly journals Depression: Prevalence and Associated Risk Factors in the United Arab Emirates

2019 ◽  
Vol 34 (4) ◽  
pp. 274-282 ◽  
Author(s):  
Hira Abdul Razzak ◽  
Alya Harbi ◽  
Shaima Ahli
2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 1090.2-1090
Author(s):  
I. El Binoune ◽  
B. Amine ◽  
S. Shiyen ◽  
S. Guedarri ◽  
N. Hajjaj-Hassouni

Author(s):  
Imane Elbinoune ◽  
Bouchra Amine ◽  
Siham Shyen ◽  
Sanae Gueddari ◽  
Redouane Abouqal ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e031969 ◽  
Author(s):  
Ibrahim Mahmoud ◽  
Nabil Sulaiman

ObjectivesTo determine and describe the prevalence and pattern of dyslipidaemia and its associated risk factors among an adult Emirati population.DesignPopulation-based, cross-sectional study.SettingAdults living in the Northern Emirates.Participants824 adult participants (51.8% men, 48.2% women, mean age 42.8±13.4 years old).Primary outcome measuresFasting blood samples were collected, blood pressure and waist circumference were measured.ResultsThe overall dyslipidaemia prevalence was 72.5%, with 42.8% of the participants showing high total cholesterol (TC) level, 29% showing high triglyceride (TG) level, 42.5% showing low high-density lipoprotein cholesterol (HDL-C) level, 38.6% showing high low-density lipoprotein cholesterol (LDL-C) level and 72.3% showing high cholesterol ratio. The regression models showed that gender was a significant predictor of a high TG level, low LDL-C level and high cholesterol ratio. Middle-aged individuals (30–59 years old) had a significantly higher risk of having high TC, TG and LDL-C levels than young (<30 years old) and elderly (≥60 years old) individuals. Diabetes mellitus was a significant predictor of low TC, high TG and low HDL-C levels, while central obesity was a significant predictor of a high TG level, low HDL-C level and high cholesterol ratio. Smoking was a significant predictor of a high TG level only in men.ConclusionsThe prevalence of dyslipidaemia was considerably high among the local adult Emiratis. The identified dyslipidaemia predictors were gender, age, smoking, central obesity and diabetes. Further studies are recommended to assess other important risk factors and aggressive preventive measures in the United Arab Emirates.


Cureus ◽  
2020 ◽  
Author(s):  
Tularam Yadav ◽  
Rija Shams ◽  
Amir F Khan ◽  
Hadiya Azam ◽  
Masroor Anwar ◽  
...  

2020 ◽  
Vol 13 (4) ◽  
pp. 555-562
Author(s):  
Mahera Abdulrahman ◽  
Zainabsadat Tabatabaei ◽  
Sadia Maqbool ◽  
Khadija Hafidh ◽  
Zahra SM Husain ◽  
...  

OBJECTIVES: This study was conducted in order to explore and analyze the status of gestational diabetes (GDM) amongst pregnant women in Dubai, United Arab Emirates (UAE); a country with high prevalence of diabetes. We aimed to describe GDM-associated risk factors and clinical outcomes of pregnant women and their neonates. Our objective was to contribute to the broader literature on reproductive health disparities and to inform efforts to improve GDM care at our region. METHODS: Chart review of case records were used to collect data on both maternal and neonatal parameters and outcomes during the specified study period from two main maternity hospitals in Dubai. RESULTS: UAE national women with GDM were more prone to be obese or overweight compared to non-UAE women (p < 0.0001, and p < 0.0001 respectively). In addition, UAE national women with GDM had higher history of GDM in previous pregnancies (p < 0.0001) and more family history of diabetes (p < 0.0001). The neonate admission into NICU was significantly associated with cesarean section (p < 0.0001), twins (p < 0.0001), preeclampsia (p = 0.02), receiving MgSO4 (p = 0.02), birth weight less than 2500 g (p < 0.0001), low Apgar scores (p < 0.0001), baby with congenital anomaly (p < 0.0001), and neonatal hypoglycemia (p < 0.0001). CONCLUSIONS: Our results demonstrate that pregnant women with GDM who are UAE nationals and have higher parity need to be under special attention during their pregnancy in order to improve both maternal and neonatal outcomes.


2016 ◽  
Author(s):  
Swati Waghdhare ◽  
Neelam Kaushal ◽  
Rajinder K Jalali ◽  
Divya Vohora ◽  
Sujeet Jha

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