2017
Sociodemographic and delivery risk factors for developing postpartum depression in a sample of 3233 mothers from the Czech ELSPAC study
FIALA, Adam, Jan ŠVANCARA, Jana KLÁNOVÁ a Tomáš KAŠPÁREKZákladní údaje
Originální název
Sociodemographic and delivery risk factors for developing postpartum depression in a sample of 3233 mothers from the Czech ELSPAC study
Autoři
FIALA, Adam (203 Česká republika, domácí), Jan ŠVANCARA (203 Česká republika, domácí), Jana KLÁNOVÁ (203 Česká republika, domácí) a Tomáš KAŠPÁREK (203 Česká republika, domácí)
Vydání
BMC Psychiatry, London, BioMed Central, 2017, 1471-244X
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30215 Psychiatry
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.419
Kód RIV
RIV/00216224:14110/17:00096498
Organizační jednotka
Lékařská fakulta
UT WoS
000398423200001
Klíčová slova anglicky
Postpartum depression; PPD; Risk factors; ELSPAC; EPDS; Postpartum blues; Mood disorders
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 18. 3. 2018 16:22, Soňa Böhmová
Anotace
V originále
Background: In the postpartum period, certain groups of women are at a higher risk for developing depressive episodes. Several studies have described risk factors for developing postpartum depression (PPD). However, these studies have used limited numbers of participants, and therefore the estimated prevalence of PPD varies greatly. Methods: The objective of this study is to identify the main risk factors for developing PPD by using data collected via the Czech version of the European Longitudinal Study of Pregnancy and Childhood (ELSPAC). This database provides a representative sample (n = 7589) observed prospectively and a large amount of data on depressive symptoms and on biological, socioeconomic, and environmental factors. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for incidence of PPD. The affective pathology was examined at three time points: before delivery, 6 weeks after delivery, and 6 months after delivery. Results: The prevalence of depressive symptoms before delivery was 12.8%, 6 weeks after delivery 11.8%, and 6 months after delivery 10.1%. The prevalence rates are based on women who completed questionnaires at all three time-points (N = 3233). At all three time points, the main risk factors for developing PPD identified as significant by both univariate and multivariate analysis were personal history of depressive episodes and mothers experiencing psychosocial stressors. Other risk factors occurring in both types of analysis were: family history of depression from expectant mother's paternal side (prenatal), mothers living without partners (6 weeks postpartum) and feelings of unhappiness about being pregnant (6 months postpartum). Several protective factors were also observed: male child gender (prenatal), primiparous mothers (6 months postpartum), and secondary education (prenatal, only by multivariate analysis). Significant risk factors found solely by univariate analysis were family history of depression in both parents of the expectant mother (prenatal and 6 weeks postpartum), family history of depression from subject's maternal side (6 months postpartum), unintentional pregnancy (prenatal and 6 weeks postpartum), feelings of unhappiness about being pregnant (prenatal and 6 weeks postpartum), primary education (prenatal and 6 weeks postpartum), mothers who opted not to breastfeed (6 months postpartum) and mothers living without partners (prenatal and 6 months postpartum). Family savings were identified as protective factor (prenatal and 6 months postpartum). Conclusions: We identified significant predictors of PPD. These predictors can be easily detected in clinical practice, and systematic screening can lead to identifying potentially at risk mothers. Since the risk is linked with experience of psychosocial stressors it seems that they might benefit from increased psychosocial support to prevent affective pathology.
Návaznosti
EF15_003/0000469, projekt VaV |
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LM2011028, projekt VaV |
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MUNI/M/1075/2013, interní kód MU |
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