焦虑
社会支持
怀孕
心理学
结构方程建模
产后
心理健康
发展心理学
纵向研究
临床心理学
多级模型
面板分析
压力(语言学)
情感(语言学)
面板数据
精神科
医学
社会心理学
统计
机器学习
生物
哲学
病理
计算机科学
语言学
数学
遗传学
沟通
作者
Nicole Racine,André Plamondon,Rochelle F. Hentges,Suzanne Tough,Sheri Madigan
标识
DOI:10.1016/j.jad.2019.03.083
摘要
Abstract Background Stress and anxiety in pregnancy and the postpartum period are associated with poor long-term maternal and child health outcomes. Social support has been shown to mitigate the effects of maternal stress and anxiety; however, the directionality and longitudinal associations among these variables are poorly understood. Using a novel multilevel modeling approach called dynamic structural equation modeling (DSEM), we examined within-person (state-level) autoregressive and cross-lagged associations among stress, anxiety, and social support in the perinatal period in order to elucidate directional associations over time. Methods Mothers from a longitudinal pregnancy cohort (N = 3,388) completed self-report measures of stress, anxiety, and social support across 4 time points from pregnancy to 12 months postpartum. Results Higher than average levels of stress and anxiety led to elevations in anxiety and stress and decreases in social support at subsequent time points. Importantly, earlier individual levels of partner and family support predicted subsequent decreases in stress and anxiety. Limitations Support was measured via maternal self-report thus extrapolations cannot be made to tangible or instrumental supports and lagged relationships represent average lags over time. Conclusions Using a novel statistical approach, these results suggest that increases in both partner and family support may be powerful protective factors for decreasing mental health difficulties in pregnancy and the postpartum, highlighting the importance of targeting and increasing this type of support from pregnancy to the postpartum period.
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