Shivalli Siddharudha, Gururaj Nandihal
Department of Community Medicine, Yenepoya Medical College, Yenepoya University, Deralakatte, Mangalore, Karnataka, India.
PLoS One. 2015 Apr 7;10(4):e0122079. doi: 10.1371/journal.pone.0122079. eCollection 2015.
Postnatal depression (PND) is one of the most common psychopathology and is considered as a serious public health issue because of its devastating effects on mother, family, and infant or the child.
To elicit socio-demographic, obstetric and pregnancy outcome predictors of Postnatal Depression (PND) among rural postnatal women in Karnataka state, India.
Hospital based analytical cross sectional study.
A rural tertiary care hospital of Mandya District, Karnataka state, India.
PND prevalence based estimated sample of 102 women who came for postnatal follow up from 4th to 10th week of lactation.
Study participants were interviewed using validated kannada version of Edinburgh Postnatal Depression Scale (EPDS). Cut-off score of ≥ 13 was used as high risk of PND. The percentage of women at risk of PND was estimated, and differences according to socio-demographic, obstetric and pregnancy outcome were described. Logistic regression was applied to identify the independent predictors of PND risk.
Prevalence, Odds ratio (OR) and adjusted (adj) OR of PND.
Prevalence of PND was 31.4% (95% CI 22.7-41.4%). PND showed significant (P < 0.05) association with joint family, working women, non-farmer husbands, poverty, female baby and pregnancy complications or known medical illness. In binomial logistic regression poverty (adjOR: 11.95, 95% CI:1.36-105), birth of female baby (adjOR: 3.6, 95% CI:1.26-10.23) and pregnancy complications or known medical illness (adjOR: 17.4, 95% CI:2.5-121.2) remained as independent predictors of PND.
Risk of PND among rural postnatal women was high (31.4%). Birth of female baby, poverty and complications in pregnancy or known medical illness could predict the high risk of PND. PND screening should be an integral part of postnatal care. Capacity building of grass root level workers and feasibility trials for screening PND by them are needed.
产后抑郁症（PND）是最常见的精神病理学问题之一，因其对母亲、家庭以及婴儿或儿童具有毁灭性影响，被视为一个严重的公共卫生问题。
找出印度卡纳塔克邦农村产后妇女中产后抑郁症（PND）的社会人口统计学、产科和妊娠结局预测因素。
基于医院的分析性横断面研究。
印度卡纳塔克邦曼迪亚区的一家农村三级护理医院。
基于PND患病率估计抽取102名在哺乳期第4至10周前来进行产后随访的妇女作为样本。
使用经过验证的卡纳达语版爱丁堡产后抑郁量表（EPDS）对研究参与者进行访谈。以≥13分的截断分数作为PND高风险的标准。估计有PND风险的妇女百分比，并描述根据社会人口统计学、产科和妊娠结局的差异。应用逻辑回归来确定PND风险的独立预测因素。
PND的患病率、比值比（OR）和调整后（adj）OR。
PND的患病率为31.4%（95%可信区间22.7 - 41.4%）。PND与大家庭、职业女性、非农民丈夫、贫困、女婴以及妊娠并发症或已知疾病呈显著（P < 0.05）关联。在二项逻辑回归中，贫困（调整后OR：11.95，95%可信区间：1.36 - 105）、女婴出生（调整后OR：3.6，95%可信区间：1.26 - 10.23）以及妊娠并发症或已知疾病（调整后OR：17.4，95%可信区间：2.5 - 121.2）仍然是PND的独立预测因素。
农村产后妇女中PND的风险很高（31.4%）。女婴出生、贫困以及妊娠并发症或已知疾病可预测PND的高风险。PND筛查应成为产后护理的一个组成部分。需要对基层工作人员进行能力建设，并开展由他们进行PND筛查的可行性试验。
