Characterization of Depression among Patients at Urban Primary Healthcare Centers in Oman

Asthma Al-Salmani, Tahara Juma, Arwa Al-Noobi, Yahya Al-Farsi, Najlaa Jaafar, Khalsa Al-Mamari, Huda Anwar, Ghada Al-Lawati, Thomas J. Klein, Samir Al-Adawi*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

14 اقتباسات (Scopus)


Aim The aim of this study was to estimate the prevalence and predictors of depression among Oman adult population attending primary healthcare clinics (PHCs) in Muscat Governorate in 2011. Methodology A cross-sectional study was conducted on 2005 participants attending 27 different PHCs in Muscat Governorate during 2011. A Patient Health Questionnaire (PHQ-9), together with a socio-demographic and relevant clinical data questionnaire was administered. Results Of the 2005 participants, 61.8% were women and 42.1% were of 25-50 age group. Of the total, 44.4% were employed, of whom 51% were government employees. The prevalence of depression among them was 8.1%. The adjusted odds ratios generated by logistic regression models indicated that depression was significantly associated with age greater than 50 years old (OR = 2.23; 95% CI 1.07, 4.22; P = 0.04), female (OR = 1.34; 95% CI 1.12, 3.82; P = 0.03), married (OR = 1.91; 95% CI 1.11, 3.30; P = 0.02), graduated or attended higher education (OR = 1.40; 95% CI 1.03, 2.66; P = 0.04), working in the private sector if employed (OR = 1.72; 95% CI 1.08, 2.75; P = 0.02), and having chronic illness such as diabetes mellitus, hypertension, asthma, heart, thyroid, and renal diseases (OR = 1.82; 95% CI 1.03, 3.51; P = 0.01). Conclusion The rate of depression appears to be in the lower range compared to rate reported from elsewhere. Some socio-cultural factors that may contribute to the present findings are discussed.

اللغة الأصليةEnglish
الصفحات (من إلى)1-18
عدد الصفحات18
دوريةInternational Journal of Psychiatry in Medicine
مستوى الصوت49
رقم الإصدار1
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يناير 1 2015

ASJC Scopus subject areas

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