Prevalence and determinants of antenatal depression among women attending primary health care centers in Western Saudi Arabia.

OBJECTIVES: To measure the prevalence of antenatal depression among pregnant women attending the primary health care (PHC) antenatal care clinics in Jeddah, Saudi Arabia and to determine associated factors. METHODS: Following a cross-sectional study design, 320 pregnant women attending the antenatal care clinics in the Ministry of Health PHC Centers in Jeddah, Saudi Arabia between January 1st 2017 and February 15th 2017 were interviewed. A self-administered questionnaire used for data collection asked about socio-demographic variables and included the Edinburgh Postnatal Depression Scale. RESULTS:   The most common contributor was the  harming herself (mean±SD, 2.7±0.60). Factors significantly associated with depression among participants were the number of daughters, previous diagnosis of depression, and financial problems. CONCLUSIONS: The prevalence of antepartum depression among pregnant women in Jeddah is 57.5%, and the greatest contributor is the thought of harming herself.

Geographical distribution and spatio-temporal patterns of dengue cases in Jeddah Governorate from 2006-2008.

BACKGROUND: Dengue remains a major health problem in Jeddah, Saudi Arabia. A surveillance system was initiated to detect new cases in 2006. The study aims to examine these data for detection of space-time clustering and identify target areas for effective interventions. METHODS: Through a cross-sectional design, we included all confirmed dengue cases among residents of Jeddah with a clearly written addresses (n = 2288). Cases were geo-coded at the district level, and then analyzed by ArcGIS for geographical distribution and by the space-time permutation model of SaTScan for detection of clusters of cases. RESULTS: This study showed a seasonal pattern of dengue infections mainly in the first half of the year. Males and younger age-groups were more likely to be affected (70.8 and 67.3%, respectively). Descriptive spatial analysis showed that the infection was concentrated in the south and central-north regions. Space-time permutation scan statistics demonstrated five spatio-temporal clusters of dengue cases with no variations by age-groups, gender and nationality-group. Our results showed clear geographical patterns of dengue in Jeddah. CONCLUSIONS: Our unique data with geographical coding enabled us to detect and target dengue clusters that support the use of geospatial information in infection control in Saudi Arabia and would allow for better targeting of interaction progress.