Search

Abstract. Introduction:. Chronic pain (pain >3 months) is a growing epidemic. Normal pregnancy may give rise to recurrent and sometimes constant pain for women. Women with worse pain symptoms are more likely to report symptoms of anxiety, depression, and/or insomnia during the perinatal period, which may impact labor and delivery outcomes. We examined the relationship between demographic and psychological predictors of pain throughout pregnancy and into the postpartum. Objectives:. To examine trajectories of pain intensity, pain catastrophizing, and pain interference during pregnancy and the early postpartum, and associated sociodemographic predictors of trajectory membership. Methods:. One hundred forty-two pregnant women were assessed at 4 time points for measures of pain intensity, pain catastrophizing, pain interference, and symptoms of insomnia, depression, and generalized anxiety. Women completed the first survey before 20 weeks’ gestation and were reassessed every 10 weeks. Surveys were completed on average at 15 weeks', 25 weeks', and 35 weeks' gestation, and at 6-week postpartum. Using latent class mixed models, trajectory analysis was used to determine trajectories of pain intensity, pain catastrophizing, and pain interference. Results:. A 1-class pain intensity model, 2-class pain catastrophizing model, and 3-class pain interference model were identified. Adaptive lasso and imputation demonstrated model robustness. Individual associations with trajectories included baseline symptoms of anxiety, depression, and insomnia, and pain symptomology. Conclusion:. These findings may help to identify women who are at high risk for experiencing pain symptoms during pregnancy and could aid in developing targeted management strategies to prevent mothers from developing chronic pain during their pregnancy and into the postpartum period.

Context: Parental socioeconomic status (SES) is increasingly understood to be a key contributor to sleep health, but the research in childhood has not been synthesized. Objective: To examine the associations between indicators of child SES and child sleep (≤18 years old), we conducted a systematic review and meta-analyses. Data sources: CINAHL with Full Text, PsycINFO, MEDLINE/PubMed, and Embase were searched using terms to define SES and childhood to ascertain all relevant, peer-reviewed articles from database inception to 27 December 2019. Study selection: Studies were included if an association between an indicator of parental SES and a measure of child sleep (duration, quality, and problems) was reported. Data extraction: Data was extracted from 46 studies (N = 72,915). Across these studies, total sample size across participants included in the meta-estimate was N = 69,373. Results: Data was extracted from 46 studies (N = 72,915). Across these studies, total sample size across participants included in the meta-estimate was N = 69,373. Higher parental education was associated with longer childhood sleep duration (stronger in samples with a higher proportion of White children) (OR = 1.302, 95% CI [1.111, 1.526], p = .001) and better sleep quality (OR = 1.332, 95% CI [1.014, 1.751], p = .040). Parental education was not directly associated with child sleep problems (OR = 1.191, 95% CI [0.733, 1.935], p = .479); moderation occurred by continent and the relationship was more pronounced in the Asian meta-estimate. Higher household income was not directly associated with longer childhood sleep duration (OR = 0.570, 95% CI [0.167, 1.943], p = 0.369), but moderation occurred by higher quality studies and the proportion of White children in the sample. Higher household income was associated with fewer sleep problems (moderated by continent) (OR = 0.764 (95% CI [0.689, 0.848], p