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dc.contributor.authorHummel, Alyssa D
dc.contributor.authorRonen, Keshet
dc.contributor.authorAmritha, Bhat
dc.contributor.authorWandika, Brenda
dc.contributor.authorChoo, Esther M
dc.contributor.authorOsborn, Lusi
dc.contributor.authorManeesh, Batra
dc.contributor.authorKinuthia, John
dc.contributor.authorManasi, Kumar
dc.contributor.authorUnger, Jennifer A
dc.date.accessioned2023-06-20T07:19:54Z
dc.date.available2023-06-20T07:19:54Z
dc.date.issued2022
dc.identifier.citationHummel AD, Ronen K, Bhat A, Wandika B, Choo EM, Osborn L, Batra M, Kinuthia J, Kumar M, Unger JA. Perinatal depression and its impact on infant outcomes and maternal-nurse SMS communication in a cohort of Kenyan women. BMC Pregnancy Childbirth. 2022 Sep 22;22(1):723. doi: 10.1186/s12884-022-05039-6. PMID: 36138357; PMCID: PMC9494796.en_US
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/36138357/
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/163712
dc.description.abstractBackground: Perinatal depression is broadly defined as depressive symptoms during pregnancy or within the 12 months following delivery, affecting approximately 20-25% of pregnant and postpartum women in low- and middle-income countries. The wide accessibility of mobile phones allows mobile health (mHealth) interventions to be considered a solution to identify perinatal depression and provide appropriate referrals for treatment. This study, nested in a larger SMS communication project, examined the prevalence and correlates of perinatal depression, determined the association between antenatal depression and infant morbidity and mortality, and compared SMS communication patterns between women with and without perinatal depression. Methods: This was a prospective longitudinal cohort study of pregnant women seeking antenatal services at two public sector health clinics in Kenya. SMS messages were sent to participants with educational content related to their pregnancy and infant health and two-way SMS communication occurred with a nurse. Sociodemographic and obstetric characteristics, SMS messaging behaviors, infant health status, and depressive symptoms were assessed by a standardized questionnaire administered at enrollment (30-36 weeks gestation) and follow-up (14 weeks postpartum). Generalized estimating equation (GEE) with Poisson link was used to evaluate correlates of perinatal depressive symptoms, infant outcomes, and frequency of SMS messaging. Results: Of the 572 women with complete follow-up information, 188 (32.9%) screened positive for elevated depressive symptoms (≥10 by EPDS scale) at some time point during pregnancy or postpartum. The strongest predictors of any depressive symptoms included interpersonal abuse during pregnancy, fewer years of schooling, and maternal unemployment. Antenatal depressive symptoms were associated with an increased risk of infant illness or hospitalization (RR = 1.12, 95% CI: 1.11, 1.13). Women with antenatal or persistent perinatal depressive symptoms sent fewer SMS messages during the study period than their counterparts without depression. Conclusions: Prevalence of elevated perinatal depressive symptoms was high in this cohort of Kenyan women. Our findings highlight the importance of screening perinatal women for experiences of symptoms of depression as well as abuse. Differences in messaging frequency between women with vs. without depressive symptoms presents an opportunity to provide more tailored support for those perinatal depression.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectKenya; Perinatal depression; SMS messaging; mHealth intervention.en_US
dc.titlePerinatal depression and its impact on infant outcomes and maternal-nurse SMS communication in a cohort of Kenyan womenen_US
dc.typeArticleen_US


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