OBJECTIVES: To identify predictors of maternal-fetal attachment (MFA) through a comprehensive review of the literature, and to use quantitative meta-analysis to determine the magnitude of the relationship between each predictor and MFA. DESIGN: The literature reviewed included 183 studies of MFA, published and unpublished, between 1981 and 2006. METHODS: Seventy-two studies met the inclusion criteria and yielded 14 predictors of MFA. A meta-analysis was performed on each of the 14 predictors in relation to MFA. RESULTS: The results indicated that gestational age had a moderate to substantial effect size. Two predictors (social support and prenatal testing) had moderate effect sizes; 10 predictors (anxiety, self-esteem, depression, planned pregnancy, age, parity, ethnicity, marital status, income, and education) had low effect sizes. High-risk pregnancy had a trivial effect size. CONCLUSIONS: The most powerful predictors of MFA using meta-analysis were identified to direct future research and evidence-based practice.
OBJECTIVES: To identify predictors of maternal-fetal attachment (MFA) through a comprehensive review of the literature, and to use quantitative meta-analysis to determine the magnitude of the relationship between each predictor and MFA. DESIGN: The literature reviewed included 183 studies of MFA, published and unpublished, between 1981 and 2006. METHODS: Seventy-two studies met the inclusion criteria and yielded 14 predictors of MFA. A meta-analysis was performed on each of the 14 predictors in relation to MFA. RESULTS: The results indicated that gestational age had a moderate to substantial effect size. Two predictors (social support and prenatal testing) had moderate effect sizes; 10 predictors (anxiety, self-esteem, depression, planned pregnancy, age, parity, ethnicity, marital status, income, and education) had low effect sizes. High-risk pregnancy had a trivial effect size. CONCLUSIONS: The most powerful predictors of MFA using meta-analysis were identified to direct future research and evidence-based practice.
Authors: Julie McFarland; Amy L Salisbury; Cynthia L Battle; Katheleen Hawes; Katherine Halloran; Barry M Lester Journal: Arch Womens Ment Health Date: 2011-09-22 Impact factor: 3.633
Authors: Kenneth S Kendler; Henrik Ohlsson; Dace S Svikis; Kristina Sundquist; Jan Sundquist Journal: Am J Psychiatry Date: 2017-06-09 Impact factor: 18.112
Authors: Larissa Rossen; Richard P Mattick; Judy Wilson; Philip J Clare; Lucinda Burns; Steve Allsop; Elizabeth J Elliott; Sue Jacobs; Craig A Olsson; Delyse Hutchinson Journal: Matern Child Health J Date: 2019-12