Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia
Identifieur interne : 000942 ( Pmc/Corpus ); précédent : 000941; suivant : 000943Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia
Auteurs : Tomas Benti Tefera ; Asfaw Negero Erena ; Kemal Ahmed Kuti ; Mohammedawel Abduku HussenSource :
- Maternal Health, Neonatology and Perinatology [ 2054-958X ] ; 2015.
Abstract
In sub Saharan Africa little progress has been made towards achieving the Millennium Development Goals. Lack of achievement of MDGs is reflected in only minor changes in maternal mortality and child health – this is especially true in Ethiopia. Perinatal depression is common in developing countries where one in three women has a significant mental health problem during pregnancy and after childbirth. Perinatal depression is associated with inadequate prenatal care and poor maternal weight gain, low infant birth weight, and infant growth restriction. This study determined the prevalence of perinatal depression and its associated factors among reproductive age group women at Goba and Robe town of Bale zone; Oromia Region, South East Ethiopia. A cross sectional study with Simple Random sampling was employed to include 340 eligible subjects. The WHO self reporting questionnaire with 20 items with a cut off point 6 and above was used to separate non-cases/cases of perinatal depression. Data were collected by trained data collectors. Descriptive analysis was done using SPSS Version 16. Multivariate logistic regression was used to identify independent predictors of perinatal depression at 95% CI and P value of ≤ 0.05.
Prevalence of perinatal depression was about 107(31.5%). About 20(5.9%), 86(25.3%) were current smokers and alcohol consumers respectively. Two hundred seventy seven (71.2%) of the respondents reported husband support during their pregnancy and after birth and 195(59.3%) were reported support from the husband’s family/relatives. Maternal perceived difficulty of child care, family History of mental illness, family visit during the perinatal period, history of child death and husband smoking status were found as independent predictors of perinatal depression.
This study found that 1 in 3 women in this region of Ethiopia have depression. Depression screening is not currently routine care, but should be given due attention due to the high prevalence of depression in these populations. Public health agencies could organize special training events for Health care workers, including Health Extension workers on Mental Health and has to provide screening service to strengthen mental health in the pregnant and postpartum family.
Url:
DOI: 10.1186/s40748-015-0013-6
PubMed: 27057329
PubMed Central: 4823688
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia</title><author><name sortKey="Tefera, Tomas Benti" sort="Tefera, Tomas Benti" uniqKey="Tefera T" first="Tomas Benti" last="Tefera">Tomas Benti Tefera</name><affiliation><nlm:aff id="Aff1">Department of Nursing, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Erena, Asfaw Negero" sort="Erena, Asfaw Negero" uniqKey="Erena A" first="Asfaw Negero" last="Erena">Asfaw Negero Erena</name><affiliation><nlm:aff id="Aff2">Department of Medicine, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Kuti, Kemal Ahmed" sort="Kuti, Kemal Ahmed" uniqKey="Kuti K" first="Kemal Ahmed" last="Kuti">Kemal Ahmed Kuti</name><affiliation><nlm:aff id="Aff3">Department of Public Health, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Hussen, Mohammedawel Abduku" sort="Hussen, Mohammedawel Abduku" uniqKey="Hussen M" first="Mohammedawel Abduku" last="Hussen">Mohammedawel Abduku Hussen</name><affiliation><nlm:aff id="Aff4">Department of Midwifery, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27057329</idno><idno type="pmc">4823688</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4823688</idno><idno type="RBID">PMC:4823688</idno><idno type="doi">10.1186/s40748-015-0013-6</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000942</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000942</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia</title><author><name sortKey="Tefera, Tomas Benti" sort="Tefera, Tomas Benti" uniqKey="Tefera T" first="Tomas Benti" last="Tefera">Tomas Benti Tefera</name><affiliation><nlm:aff id="Aff1">Department of Nursing, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Erena, Asfaw Negero" sort="Erena, Asfaw Negero" uniqKey="Erena A" first="Asfaw Negero" last="Erena">Asfaw Negero Erena</name><affiliation><nlm:aff id="Aff2">Department of Medicine, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Kuti, Kemal Ahmed" sort="Kuti, Kemal Ahmed" uniqKey="Kuti K" first="Kemal Ahmed" last="Kuti">Kemal Ahmed Kuti</name><affiliation><nlm:aff id="Aff3">Department of Public Health, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author><author><name sortKey="Hussen, Mohammedawel Abduku" sort="Hussen, Mohammedawel Abduku" uniqKey="Hussen M" first="Mohammedawel Abduku" last="Hussen">Mohammedawel Abduku Hussen</name><affiliation><nlm:aff id="Aff4">Department of Midwifery, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</nlm:aff></affiliation></author></analytic><series><title level="j">Maternal Health, Neonatology and Perinatology</title><idno type="eISSN">2054-958X</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>In sub Saharan Africa little progress has been made towards achieving the Millennium Development Goals. Lack of achievement of MDGs is reflected in only minor changes in maternal mortality and child health – this is especially true in Ethiopia. Perinatal depression is common in developing countries where one in three women has a significant mental health problem during pregnancy and after childbirth. Perinatal depression is associated with inadequate prenatal care and poor maternal weight gain, low infant birth weight, and infant growth restriction. This study determined the prevalence of perinatal depression and its associated factors among reproductive age group women at Goba and Robe town of Bale zone; Oromia Region, South East Ethiopia. A cross sectional study with Simple Random sampling was employed to include 340 eligible subjects. The WHO self reporting questionnaire with 20 items with a cut off point 6 and above was used to separate non-cases/cases of perinatal depression. Data were collected by trained data collectors. Descriptive analysis was done using SPSS Version 16. Multivariate logistic regression was used to identify independent predictors of perinatal depression at 95% CI and P value of ≤ 0.05.</p></sec><sec><title>Results</title><p>Prevalence of perinatal depression was about 107(31.5%). About 20(5.9%), 86(25.3%) were current smokers and alcohol consumers respectively. Two hundred seventy seven (71.2%) of the respondents reported husband support during their pregnancy and after birth and 195(59.3%) were reported support from the husband’s family/relatives. Maternal perceived difficulty of child care, family History of mental illness, family visit during the perinatal period, history of child death and husband smoking status were found as independent predictors of perinatal depression.</p></sec><sec><title>Conclusion</title><p>This study found that 1 in 3 women in this region of Ethiopia have depression. Depression screening is not currently routine care, but should be given due attention due to the high prevalence of depression in these populations. Public health agencies could organize special training events for Health care workers, including Health Extension workers on Mental Health and has to provide screening service to strengthen mental health in the pregnant and postpartum family.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Gavin, Ni" uniqKey="Gavin N">NI Gavin</name></author><author><name sortKey="Gaynes, Bn" uniqKey="Gaynes B">BN Gaynes</name></author><author><name sortKey="Lohr, Kn" uniqKey="Lohr K">KN Lohr</name></author><author><name sortKey="Meltzer Brody, S" uniqKey="Meltzer Brody S">S Meltzer-Brody</name></author><author><name sortKey="Gartlehner, G" uniqKey="Gartlehner G">G Gartlehner</name></author><author><name sortKey="Swinson, T" uniqKey="Swinson T">T Swinson</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Geller, Pa" uniqKey="Geller P">PA 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article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Matern Health Neonatol Perinatol</journal-id><journal-id journal-id-type="iso-abbrev">Matern Health Neonatol Perinatol</journal-id><journal-title-group><journal-title>Maternal Health, Neonatology and Perinatology</journal-title></journal-title-group><issn pub-type="epub">2054-958X</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27057329</article-id><article-id pub-id-type="pmc">4823688</article-id><article-id pub-id-type="publisher-id">13</article-id><article-id pub-id-type="doi">10.1186/s40748-015-0013-6</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Perinatal depression and associated factors among reproductive aged group women at Goba and Robe Town of Bale Zone, Oromia Region, South East Ethiopia</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Tefera</surname><given-names>Tomas Benti</given-names></name><address><email>thomas_benti@yahoo.com</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Erena</surname><given-names>Asfaw Negero</given-names></name><address><email>asfneg@yahoo.com</email></address><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Kuti</surname><given-names>Kemal Ahmed</given-names></name><address><email>kemal.ahmed5@gmail.com</email></address><xref ref-type="aff" rid="Aff3"></xref></contrib><contrib contrib-type="author"><name><surname>Hussen</surname><given-names>Mohammedawel Abduku</given-names></name><address><email>mohe.awel2015@gmail.com</email></address><xref ref-type="aff" rid="Aff4"></xref></contrib><aff id="Aff1"><label></label>Department of Nursing, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</aff><aff id="Aff2"><label></label>Department of Medicine, Madawalabu University, College of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</aff><aff id="Aff3"><label></label>Department of Public Health, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</aff><aff id="Aff4"><label></label>Department of Midwifery, Madawalabu University, College Of Medicine and Health Sciences, Bale-Goba, South east Ethiopia</aff></contrib-group><pub-date pub-type="epub"><day>14</day><month>5</month><year>2015</year></pub-date><pub-date pub-type="pmc-release"><day>14</day><month>5</month><year>2015</year></pub-date><pub-date pub-type="collection"><year>2015</year></pub-date><volume>1</volume><elocation-id>12</elocation-id><history><date date-type="received"><day>7</day><month>11</month><year>2014</year></date><date date-type="accepted"><day>19</day><month>3</month><year>2015</year></date></history><permissions><copyright-statement>© Tefera et al.; licensee BioMed Central. 2015</copyright-statement><license license-type="open-access"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p>In sub Saharan Africa little progress has been made towards achieving the Millennium Development Goals. Lack of achievement of MDGs is reflected in only minor changes in maternal mortality and child health – this is especially true in Ethiopia. Perinatal depression is common in developing countries where one in three women has a significant mental health problem during pregnancy and after childbirth. Perinatal depression is associated with inadequate prenatal care and poor maternal weight gain, low infant birth weight, and infant growth restriction. This study determined the prevalence of perinatal depression and its associated factors among reproductive age group women at Goba and Robe town of Bale zone; Oromia Region, South East Ethiopia. A cross sectional study with Simple Random sampling was employed to include 340 eligible subjects. The WHO self reporting questionnaire with 20 items with a cut off point 6 and above was used to separate non-cases/cases of perinatal depression. Data were collected by trained data collectors. Descriptive analysis was done using SPSS Version 16. Multivariate logistic regression was used to identify independent predictors of perinatal depression at 95% CI and P value of ≤ 0.05.</p></sec><sec><title>Results</title><p>Prevalence of perinatal depression was about 107(31.5%). About 20(5.9%), 86(25.3%) were current smokers and alcohol consumers respectively. Two hundred seventy seven (71.2%) of the respondents reported husband support during their pregnancy and after birth and 195(59.3%) were reported support from the husband’s family/relatives. Maternal perceived difficulty of child care, family History of mental illness, family visit during the perinatal period, history of child death and husband smoking status were found as independent predictors of perinatal depression.</p></sec><sec><title>Conclusion</title><p>This study found that 1 in 3 women in this region of Ethiopia have depression. Depression screening is not currently routine care, but should be given due attention due to the high prevalence of depression in these populations. Public health agencies could organize special training events for Health care workers, including Health Extension workers on Mental Health and has to provide screening service to strengthen mental health in the pregnant and postpartum family.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Maternal depression</kwd><kwd>Mental Health</kwd><kwd>Pregnancy</kwd><kwd>Perinatal depression</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2015</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1" sec-type="introduction"><title>Background</title><p>The perinatal period typically refers to the time from conception to the end of the first postpartum year [<xref ref-type="bibr" rid="CR1">1</xref>]. This is a time when the woman’s life is associated with profound physical and emotional changes, and associated risks for the onset or exacerbation of several mental disorders [<xref ref-type="bibr" rid="CR2">2</xref>]. One of the most common mental health problems occurring in women during their childbearing years is depression. Perinatal depression refers to major and minor depressive episodes that occur either during pregnancy or after delivery [<xref ref-type="bibr" rid="CR1">1</xref>].</p><p>Perinatal depression is common in developing countries [<xref ref-type="bibr" rid="CR3">3</xref>] and one in three women has a significant mental health problem [<xref ref-type="bibr" rid="CR4">4</xref>]. This problem is a serious but under-recognized public health problem in low and middle income countries making a substantial contribution to maternal and infant morbidity and mortality. About 12.5 - 42% of pregnant women and, 12 - 50% of mothers of newborns in low and middle income countries such as Ethiopia screen were positive for symptoms of depression [<xref ref-type="bibr" rid="CR5">5</xref>].</p><p>There is evidence indicating that maternal common mental disorders, in particular depressive disorders poses a serious public health concern because of their adverse effect on infant development [<xref ref-type="bibr" rid="CR6">6</xref>] like poor nutrition, stunting, early cessation of breastfeeding, diarrhoeal disease [<xref ref-type="bibr" rid="CR7">7</xref>].</p><p>Pregnant women or mothers with mental health problems often have poor physical health and also have persistent high-risk behaviours including alcohol and substance abuse. They have increased risk of obstetric complications and preterm labour because they are less likely to seek and receive antenatal or postnatal care or adhere to prescribed health regimens [<xref ref-type="bibr" rid="CR8">8</xref>].</p><p>It was also reported that in sub Saharan Africa little progress has been made towards achieving the Millennium Development Goals, In particular little improvement is reflected with rates of maternal mortality and child health which is also true in Ethiopia [<xref ref-type="bibr" rid="CR9">9</xref>].</p><p>A community based study conducted among mothers revealed that the overall prevalence of maternal depression was about 33% in Ethiopia [<xref ref-type="bibr" rid="CR10">10</xref>]; however, this study did not included pregnant women rather women having a Childs of age 6-18months.</p><p>So studying the mental depression during perinatal period and its associated factors are very important to provide crucial information’s for different stake holders improve maternal mental health services and tackle its grave consequences on child growth and development who are the future of our country and also incorporation of mental health services in maternal health services which in turn reduce maternal mortality rate and its severe consequences. This study was aimed to determine prevalence’s of perinatal depression and associated factors among reproductive age group women at Goba and Robe Town of Bale zone, Oromia Region, South East Ethiopia.</p></sec><sec id="Sec2"><title>Methods</title><sec id="Sec3"><title>Study area and period</title><p>Bale is one of the zones in the Oromia region of Ethiopia. The zone has three administrative towns which are Goba town, Robe town and Ginner town. The study area has two hospitals; health centers and health posts. The study period was from March to April 2014.</p></sec><sec id="Sec4"><title>Study design</title><p>Community based Cross-sectional survey was employed.</p></sec><sec id="Sec5"><title>Source population</title><p>All pregnant women and women with child under one year of age (at postpartum period) in the selected kebele of Goba and Robe town.</p></sec><sec id="Sec6"><title>Study population</title><p>Pregnant women and women with Under 1 yr of child from the source population.</p></sec><sec id="Sec7"><title>Sample size determinations</title><p>Sample size was determined based on a single proportion formula considering 33% prevalence of maternal mental disorder in Ethiopia [<xref ref-type="bibr" rid="CR10">10</xref>], 95% confidence level and 5% marginal error. The final sample size by including 5% non-response rate was become 357.</p></sec><sec id="Sec8"><title>Sampling procedures</title><p>First three kebeles [East Goba from Goba town, Baha Biftu from Robe town and west Goba] were selected from both towns randomly. Then households with pregnant women and having less than one year in these kebele were identified and sampling frame was prepared. Finally Simple Random sampling was used and eligible subjects interviewed. In cases of more than one eligible subject in selected household one of them was selected by lottery methods.</p></sec><sec id="Sec9"><title>Study variables</title><p>Independent variables included in this study were Maternal Socio economic-demographic variables, Maternal and family history of mental illness, Maternal current alcohol consumption and Tobacco uses, Support during pregnancy and child birth, Families visit during pregnancy and child birth, Support during perinatal period from families/relatives, Age at marriage, plan to have child, Number of total & female children, Husband educational level, employment, husband uses of tobacco and alcohol, Husband history of chronic medical diseases/Hypertension, diabetes Mellitus and any others) and Previously experienced death of one of own children and the Dependent Variable was a perinatal depression.</p></sec><sec id="Sec10"><title>Data collection tool and data collection procedures</title><p>The WHO, Self Reported Questionnaire with 20 items was used to assess the perinatal depression. The tool consists of twenty Yes/No questions with a reference period of the previous thirty days. It has acceptable levels of reliability and validity in developing countries and is recommended by the World Health Organization as a screening tool for depression [<xref ref-type="bibr" rid="CR11">11</xref>].</p><p>A semi-structured, pre-tested and interviewer administered questionnaire in Amharic language was used to collect data. The tool also includes maternal and husband socio demographic variables, maternal history of pervious mental illness, family history of mental diseases, and the presence of social support for during the perinatal period, Husband and maternal Tobacco use and alcohol uses in last 12 months, and Obstetric history like Age at marriage, Numbers of total children, plan to have child, experiences of the deaths of one of own child.</p><p>A study conducted in ethiopia validated SRQ-20 for use in a mixed sample of pregnant and postnatal women in the Butajira population and concluded that the overall performance of the SRQ did not differ significantly between pregnant and postnatal women and the study concluded 6 and above as cut off point to differentiate the cases from non cases [<xref ref-type="bibr" rid="CR12">12</xref>].</p><p>So for this study a cutoff point six and over was used to differentiate cases and non cases of perinatal depression.</p><p>Data were collected through face to face interviews by 10 urban Health extension workers for the duration of 15 days after getting Intensive training on sampling procedures and how to approach and conduct the interview with the study subjects.</p></sec><sec id="Sec11"><title>Data analysis</title><p>Data analysis was conducted using the Social Sciences (SPSS) Version 19.0 for windows. Descriptive analysis was first done on the total sample. Perinatal women were then classified as having depression based on a score greater than or equal to six on the SRQ. Bivariate logistic regression was used to identify associated independent variables to cases of depression. Then, Variables significantly associated on Binary Logistic regression (P ≤ 0.05) were included in Multiple Logistic regression to identify independent predictors of perinatal depression. Statistical significance was declared at P ≤ 0.05.</p><sec id="Sec12"><title>Data quality assurance</title><p>Pretest was performed on the subjects other than study subjects to check some ambiguous questions and unclear question and necessary amendment was made. Intensive training was given to data collectors regarding the interview technique and subject selection for interview. The collected data were reviewed and checked for completeness on the day of each data collection by assigning supervisors.</p></sec></sec><sec id="Sec13"><title>Ethical consideration</title><p>Ethical clearance was obtained from the Madawalabu University Research and community service directorate. The zonal health office was asked for permission to conduct the study. Then after the permission letter was given to respective town health offices. After permission obtained from town health offices the actual study was commenced. Informed consent was obtained from each study subjects after clarifying the about the purpose of the study & other relevant information about the study. Privacy and confidentiality were strictly maintained.</p></sec></sec><sec id="Sec14" sec-type="results"><title>Results</title><p>From the total 357 perinatal women, 340 of them were included in the study yielding the response rate of 95.2%. The mean age of the study subjects was 22.9(SD ± 2.1). Of the total respondents 258(75.9%) were literate in educational status, 190(55.9%) were Christian in religion, 180(52.9%) were at 25–34 age group (Table <xref rid="Tab1" ref-type="table">1</xref>).<table-wrap id="Tab1"><label>Table 1</label><caption><p><bold>Distribution of study subjects by Socio demographic characteristics, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th><bold>Socio demography variables</bold></th><th><bold>Responses</bold></th><th><bold>Number</bold></th><th><bold>Percentage</bold></th></tr></thead><tbody><tr valign="top"><td rowspan="2">Educational status</td><td>Illiterate</td><td align="left">82</td><td align="left">24.1</td></tr><tr valign="top"><td>Literate</td><td align="left">258</td><td align="left">75.9</td></tr><tr valign="top"><td rowspan="2">Religion</td><td>Muslim</td><td align="left">150</td><td align="left">44.1</td></tr><tr valign="top"><td>Christian</td><td align="left">190</td><td align="left">55.9</td></tr><tr valign="top"><td rowspan="5">Occupation</td><td>House wife</td><td align="left">205</td><td align="left">60.3</td></tr><tr valign="top"><td>Farmer</td><td align="left">26</td><td align="left">7.6</td></tr><tr valign="top"><td>Merchant</td><td align="left">35</td><td align="left">10.3</td></tr><tr valign="top"><td>Employee</td><td align="left">59</td><td align="left">17.4</td></tr><tr valign="top"><td>Other**</td><td align="left">15</td><td align="left">4.4</td></tr><tr valign="top"><td rowspan="4">Marital status</td><td>Single</td><td align="left">21</td><td align="left">6.2</td></tr><tr valign="top"><td>Married</td><td align="left">251</td><td align="left">73.8</td></tr><tr valign="top"><td>divorced</td><td align="left">57</td><td align="left">16.8</td></tr><tr valign="top"><td>Widowed</td><td align="left">9</td><td align="left">2.6</td></tr><tr valign="top"><td rowspan="3">Age</td><td align="left">15-24</td><td align="left">92</td><td align="left">27.1</td></tr><tr valign="top"><td align="left">25-34</td><td align="left">180</td><td align="left">52.9</td></tr><tr valign="top"><td>35 and above</td><td align="left">68</td><td align="left">20.0</td></tr><tr valign="top"><td rowspan="2">Perceived difficult of child care</td><td>Yes</td><td align="left">108</td><td align="left">31.8</td></tr><tr valign="top"><td>No</td><td align="left">232</td><td align="left">68.2</td></tr><tr valign="top"><td rowspan="2">Confident r/ship with husband family</td><td>yes</td><td align="left">220</td><td align="left">64.7</td></tr><tr valign="top"><td>No</td><td align="left">120</td><td align="left">35.3</td></tr></tbody></table><table-wrap-foot><p>** includes students, daily labourer, and tella makers.</p></table-wrap-foot></table-wrap></p><p>Three hundred twenty two (94.7%) of Respondents reported previous history of mental illness and 323(95%) were had family history of mental illness. Nearly six percent of respondents were current smokers and 86(25.3%) were current alcohol consumers (Table <xref rid="Tab2" ref-type="table">2</xref>).<table-wrap id="Tab2"><label>Table 2</label><caption><p><bold>Distribution of study subjects on history of mental illness and maternal substance uses, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th></th><th></th><th><bold>Number</bold></th><th><bold>Percentage</bold></th></tr></thead><tbody><tr valign="top"><td rowspan="2">History of mental illness</td><td>Yes</td><td align="left">18</td><td align="left">5.30</td></tr><tr valign="top"><td>No</td><td align="left">322</td><td align="left">94.7</td></tr><tr valign="top"><td rowspan="2">Family history of mental illness</td><td>Yes</td><td align="left">17</td><td align="left">5.0</td></tr><tr valign="top"><td>No</td><td align="left">323</td><td align="left">95.0</td></tr><tr valign="top"><td rowspan="2">History of medical diseases</td><td>Yes</td><td align="left">35</td><td align="left">10.3</td></tr><tr valign="top"><td>No</td><td align="left">305</td><td align="left">89.7</td></tr><tr valign="top"><td rowspan="2">Smoking tobacco</td><td>Yes</td><td align="left">20</td><td align="left">5.9</td></tr><tr valign="top"><td>No</td><td align="left">320</td><td align="left">94.1</td></tr><tr valign="top"><td rowspan="2">Alcohol consumption</td><td>Yes</td><td align="left">86</td><td align="left">25.3</td></tr><tr valign="top"><td>No</td><td align="left">254</td><td align="left">74.4</td></tr></tbody></table></table-wrap></p><sec id="Sec15"><title>Husband or Marital factors</title><p>About 278(87.1%) were reported that their husband were literate in educational status. Two hundred seventy seven (71.2%) of the respondents reported that their husband provide any support during their pregnancy and after birth too while the rest not. Husband psychological abuse and physical abuse were also asked and about 57(17.9%), 79(24.8%) were reported the abuse respectively. About 137(42.9%) of study subjects reported their husband used substances. About 195(59.3%) were reported support from family/relatives and about 213(64.3%) reported visit from their families/ relatives during pregnancy and after births at least two and more times (Table <xref rid="Tab3" ref-type="table">3</xref>).<table-wrap id="Tab3"><label>Table 3</label><caption><p><bold>Frequency distributions of husband marital factors, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th></th><th></th><th><bold>Number</bold></th><th><bold>Percentage</bold></th></tr></thead><tbody><tr valign="top"><td rowspan="2">Educational status of husband</td><td>Literate</td><td align="left">278</td><td align="left">87.1</td></tr><tr valign="top"><td>Illiterate</td><td align="left">41</td><td align="left">12.9</td></tr><tr valign="top"><td rowspan="2">Support during pregnancy and after birth</td><td>Yes</td><td align="left">227</td><td align="left">71.2</td></tr><tr valign="top"><td>No</td><td align="left">92</td><td align="left">28.8</td></tr><tr valign="top"><td rowspan="2">Physical abuse</td><td>Yes</td><td align="left">57</td><td align="left">17.9</td></tr><tr valign="top"><td>No</td><td align="left">262</td><td align="left">82.1</td></tr><tr valign="top"><td>Psychological abuse</td><td>Yes</td><td align="left">79</td><td align="left">24.8</td></tr><tr valign="top"><td></td><td>No</td><td align="left">240</td><td align="left">75.2</td></tr><tr valign="top"><td rowspan="2">Husband alcohol use</td><td>Yes</td><td align="left">137</td><td align="left">42.9</td></tr><tr valign="top"><td>No</td><td align="left">182</td><td align="left">57.1</td></tr><tr valign="top"><td rowspan="2">Husband smoking</td><td>Yes</td><td align="left">63</td><td align="left">19.7</td></tr><tr valign="top"><td>No</td><td align="left">256</td><td align="left">80.3</td></tr><tr valign="top"><td rowspan="2">Support from family or relatives</td><td>Yes</td><td align="left">195</td><td align="left">59.3</td></tr><tr valign="top"><td>No</td><td align="left">134</td><td align="left">40.7</td></tr><tr valign="top"><td rowspan="2">Family/relative visit during perinatal period</td><td>Yes</td><td align="left">213</td><td align="left">64.5</td></tr><tr valign="top"><td>No</td><td align="left">117</td><td align="left">35.5</td></tr></tbody></table></table-wrap></p></sec><sec id="Sec16"><title>Obstetric factors</title><p>The mean age at marriage was 21.5 ±SD 3.5. Of the total respondents involved in this study, about 45(13.3%) were had no children, 150(44.2%) were had two to four children’s and 38(11.2%) were had above four children. Concerning their pregnancies status about 120(35.6%) were reported it was not planned and the rest otherwise. About 34(12%) were reported they had experienced death of own child (Table <xref rid="Tab4" ref-type="table">4</xref>).<table-wrap id="Tab4"><label>Table 4</label><caption><p><bold>Distribution of study subjects on selected obstetric factors, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th></th><th><bold>Number</bold></th><th><bold>Percentage</bold></th></tr></thead><tbody><tr valign="top"><td>Total number of children</td><td></td><td></td></tr><tr valign="top"><td> No children</td><td align="left">45</td><td align="left">13.3</td></tr><tr valign="top"><td> Only one</td><td align="left">106</td><td align="left">31.3 </td></tr><tr valign="top"><td> Two- to four</td><td align="left">150</td><td align="left">44.2</td></tr><tr valign="top"><td> Above five</td><td align="left">38</td><td align="left">11.2</td></tr><tr valign="top"><td>Total number of female children</td><td></td><td></td></tr><tr valign="top"><td> No female children</td><td align="left">60</td><td align="left">20.4</td></tr><tr valign="top"><td> Only one female children</td><td align="left">137</td><td align="left">46.6</td></tr><tr valign="top"><td> Above two female children</td><td align="left">97</td><td align="left">33.0</td></tr><tr valign="top"><td>Experience of own child death</td><td></td><td></td></tr><tr valign="top"><td> Yes</td><td align="left">34</td><td align="left">12.0</td></tr><tr valign="top"><td> No</td><td align="left">250</td><td align="left">88.0</td></tr><tr valign="top"><td>Was planned to be pregnant or to have this child</td><td></td><td></td></tr><tr valign="top"><td> Yes</td><td align="left">217</td><td align="left">64.4</td></tr><tr valign="top"><td> No</td><td align="left">120</td><td align="left">35.6</td></tr><tr valign="top"><td>Mean Age at marriage</td><td colspan="2">Mean 21.5 ± SD3.5</td></tr></tbody></table></table-wrap></p></sec><sec id="Sec17"><title>Prevalence of perinatal depression</title><p>One Hundred Seven (31.5%) were classified as having perinatal depression and about 233(68.5%) were classified as not having perinatal depression.</p></sec><sec id="Sec18"><title>Factors associated with perinatal depression among the study subjects</title><p>The women who had no perceived difficulty of child care and No husband tobacco users were less likely to have perinatal depression compared to their counterparts, (COR = 0.32, 95%CI (0.19-0.51), (COR = 0.32, 95%CI (0.18-0.57) respectively. The odds of having depression among women who had no family/relative support, no family visit and un-planned pregnancy were more likely compared to their counterparts (Table <xref rid="Tab5" ref-type="table">5</xref>).<table-wrap id="Tab5"><label>Table 5</label><caption><p><bold>Binary logistic regressions: predictors of perinatal depression among study subjects, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th><bold>Variables</bold></th><th><bold>No perinatal depression</bold></th><th><bold>Perinatal depression</bold></th><th><bold>COR</bold></th><th><bold>P</bold></th><th><bold>95%CI</bold></th></tr></thead><tbody><tr valign="top"><td>Educational status of women</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Illiterate</td><td>40(48.8%)</td><td>42(51.2%)</td><td>3.11</td><td char="." align="char">0.000</td><td>1.86-5.22</td></tr><tr valign="top"><td> Literate</td><td>193(74.8%)</td><td>65(25.2%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>History of mental illness</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>226(70.2%)</td><td>96(29.8%)</td><td>0.27</td><td char="." align="char">0.009</td><td>0.10-0.72</td></tr><tr valign="top"><td> yes</td><td>7(38.9%)</td><td>11(61.1%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>History of family mental illness</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>226(70.0%)</td><td>97(30.0%)</td><td>0.30</td><td char="." align="char">0.018</td><td>0.11-0.81</td></tr><tr valign="top"><td> yes</td><td>7(41.2%)</td><td>10(58.8%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Perceived difficulty of child care</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>178(76.7%)</td><td>54(23.3%)</td><td>0.32</td><td char="." align="char">0.000</td><td>0.19-0.51</td></tr><tr valign="top"><td> yes</td><td>55(50.9%)</td><td>53(49.1%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Confident with your husband or other relatives</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>62(51.7%)</td><td>58(48.3%)</td><td>3.27</td><td char="." align="char">0.000</td><td>2.02-5.27</td></tr><tr valign="top"><td> Yes</td><td>171(77.7%)</td><td>49(22.3%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Living with your husband</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>17(36.2%)</td><td>30(63.8%)</td><td>4.95</td><td char="." align="char">0.000</td><td>2.58-9.48</td></tr><tr valign="top"><td> Yes</td><td>216(68.5%)</td><td>77(26.3%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Husband educational status</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Illiterate</td><td>34(54.8%)</td><td>28(45.2%)</td><td>2.16</td><td char="." align="char">0.022</td><td>1.12-4.17</td></tr><tr valign="top"><td> Primary</td><td>22(53.7%)</td><td>19(46.3%)</td><td>2.26</td><td char="." align="char">0.032</td><td>1.07-4.78</td></tr><tr valign="top"><td> Secondary</td><td>101(76.5%)</td><td>31(23.5%)</td><td>0.80</td><td char="." align="char">0.468</td><td>0.45-1.45</td></tr><tr valign="top"><td>TVET& above</td><td>76(72.4%)</td><td>29(27.6%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Husband tobacco uses</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>195(76.2%)</td><td>61(23.8%)</td><td>0.32</td><td char="." align="char">0.000</td><td>0.18-0.57</td></tr><tr valign="top"><td> Yes</td><td>32(50.8%)</td><td>31(49.2%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Support from relatives</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>68(50.7%)</td><td>66(49.3%)</td><td>4.76</td><td char="." align="char">0.000</td><td>2.87-7.89</td></tr><tr valign="top"><td> Yes</td><td>162(83.1%)</td><td>33(16.9%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Family visits</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>55(47.0%)</td><td>62(53.0%)</td><td>5.36</td><td char="." align="char">0.000</td><td>3.22-8.91</td></tr><tr valign="top"><td> Yes</td><td>176(82.6%)</td><td>37(17.4%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Pregnancy status</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Not planned</td><td>68(56.7%)</td><td>52(43.3%)</td><td>2.36</td><td char="." align="char">0.000</td><td>1.47-3.81</td></tr><tr valign="top"><td> Planned</td><td>164(75.6%)</td><td>53(24.4%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Experience of child death</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>188(75.2%)</td><td>62(24.8%)</td><td>0.18</td><td char="." align="char">0.000</td><td>0.08-0.39</td></tr><tr valign="top"><td> Yes</td><td>12(35.3%)</td><td>22(64.7%)</td><td>1</td><td></td><td></td></tr><tr valign="top"><td>Total number of child</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No children</td><td>27(60.0%)</td><td>18(40.0%)</td><td>0.74</td><td char="." align="char">0.50</td><td>0.31-1.77</td></tr><tr valign="top"><td> one child</td><td>87(82.1%)</td><td>19(17.9%)</td><td>0.24</td><td char="." align="char">0.001</td><td>0.11-0.54</td></tr><tr valign="top"><td> 2- 4 child’s</td><td>98(65.3%)</td><td>52(34.7%)</td><td>0.59</td><td char="." align="char">0.150</td><td>0.29-1.21</td></tr><tr valign="top"><td> ≥5 child’s</td><td>21(53.8%)</td><td>18(46.2%)</td><td char="." align="char">1</td><td></td><td></td></tr></tbody></table><table-wrap-foot><p>TVET: technical and vocational education training. AOR: adjusted Odd Ratio, P: P Value.</p></table-wrap-foot></table-wrap></p><p>Result from multivariate analysis revealed that Maternal perceived difficulty of child care, Family History of mental illness, family visit during the perinatal period, history of child death and husband smoking status were found as independent predictors of perinatal depression. The odds of having depression among women/mothers who hadn’t experienced adverse life event (death of own child) were less likely compared to their counterparts (AOR = 0.30, 95%CI (0.11-0.86) (Table <xref rid="Tab6" ref-type="table">6</xref>).<table-wrap id="Tab6"><label>Table 6</label><caption><p><bold>Multiple logistic regressions: predictors of perinatal depression among study subjects, 2014</bold></p></caption><table frame="hsides" rules="groups"><thead><tr valign="top"><th><bold>Variables</bold></th><th><bold>No perinatal depression</bold></th><th><bold>Perinatal depression</bold></th><th><bold>AOR</bold></th><th><bold>P</bold></th><th><bold>95%CI</bold></th></tr></thead><tbody><tr valign="top"><td>Educational status of women</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Illiterate</td><td>40(48.8%)</td><td>42(51.2%)</td><td align="left">2.25</td><td align="left">.053</td><td>0.98-5.15</td></tr><tr valign="top"><td> Literate</td><td>193(74.8%)</td><td>65(25.2%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>History of mental illness</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>226(70.2%)</td><td>96(29.8%)</td><td align="left">0.55</td><td align="left">.445</td><td>0.12-2.53</td></tr><tr valign="top"><td> yes</td><td>7(38.9%)</td><td>11(61.1%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>History of family mental illness</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>226(70.0%)</td><td>97(30.0%)</td><td align="left">0.17</td><td align="left">.042</td><td>0.03-0.92</td></tr><tr valign="top"><td> yes</td><td>7(41.2%)</td><td>10(58.8%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Perceived difficulty of child care</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>178(76.7%)</td><td>54(23.3%)</td><td align="left">0.43</td><td align="left">.031</td><td>0.20-0.93</td></tr><tr valign="top"><td> yes</td><td>55(50.9%)</td><td>53(49.1%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Confident with your husband or other relatives</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>62(51.7%)</td><td>58(48.3%)</td><td align="left">1.03</td><td align="left">.058</td><td>0.38-0.15</td></tr><tr valign="top"><td> Yes</td><td>171(77.7%)</td><td>49(22.3%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Living with your husband</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>17(36.2%)</td><td>30(63.8%)</td><td align="left">2.08</td><td align="left">.255</td><td>0.58-7.37</td></tr><tr valign="top"><td> Yes</td><td>216(68.5%)</td><td>77(26.3%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td> Husband educational status</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Illiterate</td><td>34(54.8%)</td><td>28(45.2%)</td><td align="left">0.54</td><td align="left">.290</td><td>0.17-1.69</td></tr><tr valign="top"><td> primary</td><td>22(53.7%)</td><td>19(46.3%)</td><td align="left">0.48</td><td align="left">.226</td><td>0.15-1.57</td></tr><tr valign="top"><td> secondary</td><td>101(76.5%)</td><td>31(23.5%)</td><td align="left">0.46</td><td align="left">.095</td><td>0.16-1.15</td></tr><tr valign="top"><td> TVET& above</td><td>76(72.4%)</td><td>29(27.6%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Husband tobacco uses</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>195(76.2%)</td><td>61(23.8%)</td><td align="left">0.28</td><td align="left">.004</td><td>0.12-0.67</td></tr><tr valign="top"><td> Yes</td><td>32(50.8%)</td><td>31(49.2%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Support from relatives</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>68(50.7%)</td><td>66(49.3%)</td><td align="left">3.25</td><td align="left">.031</td><td>1.11-9.52</td></tr><tr valign="top"><td> Yes</td><td>162(83.1%)</td><td>33(16.9%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Family visits</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>55(47.0%)</td><td>62(53.0%)</td><td align="left">1.52</td><td align="left">.500</td><td>0.45-5.06</td></tr><tr valign="top"><td> Yes</td><td>176(82.6%)</td><td>37(17.4%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Pregnancy status</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> Not planned</td><td>68(56.7%)</td><td>52(43.3%)</td><td align="left">1.02</td><td align="left">.960</td><td>0.46-2.24</td></tr><tr valign="top"><td> Planned</td><td>164(75.6%)</td><td>53(24.4%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Experience of Child death</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No</td><td>188(75.2%)</td><td>62(24.8%)</td><td align="left">0.30</td><td align="left">.025</td><td>0.11-0.86</td></tr><tr valign="top"><td> Yes</td><td>12(35.3%)</td><td>22(64.7%)</td><td align="left">1</td><td></td><td></td></tr><tr valign="top"><td>Total number of child</td><td></td><td></td><td></td><td></td><td></td></tr><tr valign="top"><td> No children</td><td>27(60.0%)</td><td>18(40.0%)</td><td align="left">0.71</td><td align="left">.743</td><td>0.09-5.41</td></tr><tr valign="top"><td> one child</td><td>87(82.1%)</td><td>19(17.9%)</td><td align="left">0.52</td><td align="left">.316</td><td>0.14-1.87</td></tr><tr valign="top"><td> 2- 4 child’s</td><td>98(65.3%)</td><td>52(34.7%)</td><td align="left">1.44</td><td align="left">.490</td><td>0.51-4.09</td></tr><tr valign="top"><td> ≥5 child’s</td><td>21(53.8%)</td><td>18(46.2%)</td><td align="left">1</td><td></td><td></td></tr></tbody></table><table-wrap-foot><p>TVET: technical and vocational education training. AOR: adjusted Odd Ratio, P: P Value.</p></table-wrap-foot></table-wrap></p><p>The odds of having depression among women/mothers who hadn’t supported from families were more likely compared to their counterparts (AOR = 3.25, 95%CI (1.11-9.52).</p></sec></sec><sec id="Sec19" sec-type="discussion"><title>Discussion</title><p>Although pregnancy and childbirth are generally viewed as a joyful time to most families, they also put women at risk of developing mental problems-perinatal depression due to different factors. The prevalence of perinatal depression varies across the region in the world. These differences might be due to differences in the type of instrument and cutoff score used, cultural variables, differences in perception of mental health, differences in socioeconomic environments, levels of social support or its perception, as well as biological vulnerability factors [<xref ref-type="bibr" rid="CR1">1</xref>].</p><p>The perinatal period is also a high risk time for the emergence of depressive symptoms [<xref ref-type="bibr" rid="CR13">13</xref>] and these depressive symptoms can be efficiently measured using screening questionnaires which can be used as proxy measures of depressive disorder after validation against Gold standard tools.</p><p>For this particular study, WHO Self Reporting Questionnaire, a 20-item questionnaire which is validated for use developing countries such as, Ethiopia.</p><p>Recent studies on low and middle income countries reported that on the prevalence of maternal mental problem ranges from 10-41%, depending on the place and time of the perinatal period studied and the instruments employed [<xref ref-type="bibr" rid="CR5">5</xref>]. This study also found that the prevalence of perinatal depression was about 31.5%) which is in a specified range of the problem in low and middle income countries.</p><p>A community based study conducted among mothers using SRQ instrument revealed that the overall prevalence of maternal depression was about 30% in India and 30% in Peru with cut off point seven and above [<xref ref-type="bibr" rid="CR10">10</xref>]. This study also found comparable finding but higher than the prevalence of depression in Indonesia which was about 22% [<xref ref-type="bibr" rid="CR14">14</xref>]. However the later study was conducted using EPDS with cut off point of 12 and above as having postnatal depression.</p><p>A research conducted by Rochat et al. among pregnant women of South Africa using the EPDS found that the prevalence of depression was about 41% which was higher than the finding of this study. The possible reason may be the difference in the lifestyle of the study participants and the instrument used [<xref ref-type="bibr" rid="CR15">15</xref>].</p><p>Another study conducted in Ethiopia revealed that the prevalence of perinatal depression was about 33%. This finding is comparable with the finding from this study. It may be due to that the lifestyle, culture and the health systems of the country similar [<xref ref-type="bibr" rid="CR10">10</xref>].</p><p>Depression has some identifiable risk factors. Depression may result from poor environmental factors, such as lack of food, inadequate housing, little financial support, and insufficient family support (e.g., an uninvolved husband or partner) [<xref ref-type="bibr" rid="CR16">16</xref>].</p><p>Social support was demonstrated to be important in the transition to motherhood and has an impact on emotional coping [<xref ref-type="bibr" rid="CR17">17</xref>]. It gives direct effects on emotional stability, attenuated effects of stressful life events, and prevents depression [<xref ref-type="bibr" rid="CR18">18</xref>]. A Study conducted among Thai women revealed that Lack of social support as an independent predictor for postpartum depression [<xref ref-type="bibr" rid="CR19">19</xref>]. Another study conducted in Indonesia also showed that lack of support from husband was associated with maternal perinatal depression during pregnancy [<xref ref-type="bibr" rid="CR20">20</xref>]. The current study also revealed that not having support from families or relatives during perinatal period was found as an independent predictor of perinatal depression. This is due to that, not having the social support makes them vulnerable to stress, worthlessness, and hopelessness [<xref ref-type="bibr" rid="CR21">21</xref>].</p><p>Different studies found that history of pregnancy loss, stressful life events (death of a child) and financial difficulties were associated with maternal depression [<xref ref-type="bibr" rid="CR22">22</xref>,<xref ref-type="bibr" rid="CR23">23</xref>]. The current study also found that perceived difficulty of child care and experience of child death was significant predictors of perinatal depression.</p><p>Most women receive some form of prenatal care, making several visits to see perinatal professionals during the course of pregnancy and after childbirth. These visits present a unique opportunity for health care professionals for an early identification of maternal depression. This finding also helps policy makers to build a comprehensive network of community perinatal services and service providers to strengthen mental health of the pregnant and postpartum family.</p><p>This social network might provide a range of supports such as parent education and child development issues, postpartum home visits, nutritional counselling, education on Mental Health problems and its sign and symptoms to seek health care for mothers and other family members. These services can be provided by Health Extension workers so that-the risks of maternal health problems and its consequences intervened.</p><p>The current study tried to determine the perinatal depression and its associated factors that are amenable to change. As the strength, Study used Validated WHO SRQ-20 Questionnaire in Ethiopian context and Data were collected by trained urban Health extension workers. The limitations were- the study not addressed biological factors- hormonal and chemical changes, experienced by women during the perinatal period and the HIV/AIDS status of the women. Since it is Cross sectional study design, cause-effect relationship cannot be determined and longitudinal prospective research is needed to fully understand the nature of these factors in perinatal depression.</p></sec><sec id="Sec20" sec-type="conclusion"><title>Conclusion</title><p>This study found that 1 in 3 women in this region of Ethiopia have depression. Depression screening is not currently routine care, but should be given due attention due to the high prevalence of depression in these populations.</p><p>Public health agencies could organize special training events for practitioners and support staff within the maternal and child health profession. Health Extension workers have to be trained on Mental Health problem detection/screen/ and has to provide service to strengthen mental health of the pregnant and postpartum family.</p></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>CES-D</term><def><p>Center of Epidemiological Studies-Depression scale</p></def></def-item><def-item><term>CI</term><def><p>Confidence interval</p></def></def-item><def-item><term>CMD</term><def><p>Common mental disorder</p></def></def-item><def-item><term>DALYs</term><def><p>Disability adjusted life years</p></def></def-item><def-item><term>EDHS</term><def><p>Ethiopia Demographic Health Survey</p></def></def-item><def-item><term>EPDS</term><def><p>Edinburgh postnatal depression syndrome</p></def></def-item><def-item><term>HADS</term><def><p>Hospital anxiety and depression scale</p></def></def-item><def-item><term>LMICs</term><def><p>Low and middle income countries</p></def></def-item><def-item><term>MDG</term><def><p>Millennium developmental goal</p></def></def-item><def-item><term>PTSD</term><def><p>Post traumatic syndrome disorder</p></def></def-item><def-item><term>SPSS</term><def><p>Statistical package for social sciences</p></def></def-item><def-item><term>SSA</term><def><p>Sub Saharan Africa</p></def></def-item><def-item><term>SRQ</term><def><p>Self reported questionnaire</p></def></def-item><def-item><term>WHO</term><def><p>World Health Organization</p></def></def-item></def-list></glossary><fn-group><fn><p><bold>Competing interests</bold></p><p>The authors declare that they have no competing interests.</p></fn><fn><p><bold>Authors’ contributions</bold></p><p>TB conceived and designed the study, analysed the data, interpreted the results and prepared the final version of the Manuscript. AN and KA has contributed to the acquisition of data and drafting and critically revising the manuscript. MA involved in a critical revision of the final manuscript. All authors read and approved the final manuscript.</p></fn></fn-group><ack><title>Acknowledgement</title><p>We thank the Madawalabu University for Allowing Us to conduct this Research. We also thank the Madawalabu University for financial support. We also thank the Bale zone Goba and Robe Towns health bureau of South East Ethiopia and the kebele administrators for facilitating the study. 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