TY - JOUR
AU1 - Hahn-Holbrook, Jennifer
AU2 - Cornwell-Hinrichs, Taylor
AU3 - Anaya, Itzel
AU4 - 
AB - Sy Stematic Review published: 01 February 2018 doi: 10.3389/fpsyt.2017.00248 economic and Health Predictors of National Postpartum Depression Prevalence: a Systematic Review, meta-analysis, and meta-Regression of 291 Studies from 56 countries 1,2 3 4 Jennifer Hahn-Holbrook *, Taylor Cornwell-Hinrichs and Itzel Anaya 1 2 Department of Psychology, University of California, Merced, Merced, CA, United States, Center for Excellence in Biopsychosocial Approaches to Health, Chapman University, Orange, CA, United States, Department of Health Sciences, Chapman University, Orange, CA, United States, Department of Psychology, Palo Alto University, Palo Alto, CA, United States Background: Postpartum depression (PPD) poses a major global public health chal- lenge. PPD is the most common complication associated with childbirth and exerts harmful effects on children. Although hundreds of PPD studies have been published, we lack accurate global or national PPD prevalence estimates and have no clear account of Edited by: why PPD appears to vary so dramatically between nations. Accordingly, we conducted Gianluca Serafini, a meta-analysis to estimate the global and national prevalence of PPD and a meta-re- University of Genoa, Italy gression to identify economic, health, social, or policy factors associated with national Reviewed by: Erika Comasco, PPD prevalence. Uppsala University, Sweden Taolin Chen, methods: We conducted 
TI - Economic and Health Predictors of National Postpartum Depression Prevalence: A Systematic Review, Meta-analysis, and Meta-Regression of 291 Studies from 56 Countries
JF - Frontiers in Psychiatry
DO - 10.3389/fpsyt.2017.00248
DA - 2018-02-01
UR - https://www.deepdyve.com/lp/unpaywall/economic-and-health-predictors-of-national-postpartum-depression-bc7dsBV4gt
DP - DeepDyve
ER -