Volume 10 Number 3 - 4 July - December 2022 |
Babandi F3, Habib ZG1,2*, Usman UM1,2, Gudaji MI1,2 |
Background: Antenatal depression is common in women. Children of women who had antenatal depression had higher chances of morbidity and mortality. The economic consequences of antenatal depression are enormous. Antenatal depression is an independent strong risk factor for postpartum depression. Women with antenatal depression are at an increased for medical problems like anaemia they are also more likely to develop obstetrics complications. Aim: The study assessed antenatal depression in a group of women living in rural and urban areas of Kano State. Methodology: A cross-sectional study was conducted among antenatal clinic attendees of an urban and a rural health facility in Kano State, Nigeria. A questionnaire that elicited sociodemographic features was used along with another that elicited obstetric and clinical features of each subject. Edinburgh Postnatal Depression Scale (EPDS), Hamilton Depression Rating Scale (HDRS), and the major depression module of the Mini International Neuropsychiatric Interview (MINI-7) were used to screen, rate, and diagnose depression among the respondents respectively. Results: The ages of the respondents were from 18 to 47 years. The mean age was 27.2±5.8 years. Most 286 (96.9%) of the respondents were married. The average age of education was 10.8±4.1 years. Most 228 (77.3%) belonged to the Hausa ethnic group. Muslims constituted over 95% of the respondents. Over three-quarters, 225 (76.3%), of the respondents were members of monogamous families. Seventy-four (25.1%) out of the respondents had a history of a background medical problem.), and 49 (21.1%) had experienced previous pregnancy-related complications (such as hypertension, gestational diabetes, or vaginal bleeding. Depression was detected in 70 (23.7%) of the pregnant women. The 95% Confidence Interval (CI), was 0.19-0.29. History of a background medical problem, and anaemia in pregnancy (p=0.002, p=0.01) were the 2 statistically significant predictors o |
10.47837/CMJ.2022102.5 |
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