Literature DB >> 28780475

The Postpartum Partner Support Scale: Development, psychometric assessment, and predictive validity in a Canadian prospective cohort.

Cindy-Lee Dennis1, Hilary K Brown2, Sarah Brennenstuhl3.   

Abstract

BACKGROUND: postpartum depression is a significant public health issue with well-documented negative consequences. A strong risk factor that has been consistently identified in international samples is a poor partner relationship. However, no instrument exists to measure postpartum-specific partner support.
OBJECTIVES: the objective of this methodological study was to develop and psychometrically test an instrument to assess the perception of postpartum partner support to guide interventions.
DESIGN: using a theoretical model of social relationships and the functional elements of social support, the Postpartum Partner Support Scale was developed and content validity was judged by experts. Following a pilot test, the Postpartum Partner Support Scale was psychometrically assessed. SETTINGS: the study was conducted in a health region near Vancouver, British Columbia. PARTICIPANTS: 396 women at 1, 4, and 8 weeks postpartum.
METHODS: the psychometric assessment included analysis of internal consistency, exploratory factor analysis, composite reliability, and concurrent and predictive validity.
FINDINGS: the Cronbach's alpha for the Postpartum Partner Support Scale was 0.96, and exploratory factor analysis revealed a unidimensional solution. The Postpartum Partner Support Scale was positively correlated with general partner support and global social support and negatively correlated with perceived stress and child care stress. It also predicted maternal depressive and anxiety symptoms at 8 weeks postpartum among those without depression or anxiety at 1 or 4 weeks postpartum, respectively.
CONCLUSIONS: following further psychometric testing, the Postpartum Partner Support Scale may be used to (1) identify women with inadequate partner support who are at risk for poor mental health, (2) individualise postnatal care, and (3) evaluate preventive interventions.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Depression; Post partum; Psychometrics

Mesh:

Year:  2017        PMID: 28780475     DOI: 10.1016/j.midw.2017.07.018

Source DB:  PubMed          Journal:  Midwifery        ISSN: 0266-6138            Impact factor:   2.372


  5 in total

1.  Psychometric properties of Postpartum Partner Support Scale-Persian version.

Authors:  Zahra Eslahi; Zainab Alimoradi; Nasim Bahrami; Chung-Ying Lin; Mark D Griffiths; Amir H Pakpour
Journal:  Nurs Open       Date:  2021-02-19

2.  Correlates of Canadian mothers' anger during the postpartum period: a cross-sectional survey.

Authors:  Christine Hk Ou; Wendy A Hall; Paddy Rodney; Robyn Stremler
Journal:  BMC Pregnancy Childbirth       Date:  2022-02-28       Impact factor: 3.007

3.  The association between paternal childcare involvement and postpartum depression and anxiety among Chinese women-a path model analysis.

Authors:  Xiaoying Zhang; Ping Ma; Ming Li
Journal:  Arch Womens Ment Health       Date:  2022-08-18       Impact factor: 4.405

4.  Predictors of breastfeeding self-efficacy during the covid-19 pandemic.

Authors:  Maryam Ahmad Zadeh Beheshti; Zainab Alimoradi; Nasim Bahrami; Kelly-Ann Allen; Kerrie Lissack
Journal:  J Neonatal Nurs       Date:  2021-08-12

5.  Impact of COVID-19 lockdown on maternal psychological status, the couple's relationship and mother-child interaction: a prospective study.

Authors:  Sylvie Viaux-Savelon; Paul Maurice; Alexandra Rousseau; Chloe Leclere; Manon Renout; Laura Berlingo; David Cohen; Jean-Marie Jouannic
Journal:  BMC Pregnancy Childbirth       Date:  2022-09-26       Impact factor: 3.105

  5 in total

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