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1.
J Perinatol ; 41(8): 2009-2018, 2021 08.
Article in English | MEDLINE | ID: mdl-34168287

ABSTRACT

OBJECTIVE: To evaluate acute stress disorder (ASD) symptoms and their predictors in Neonatal Intensive Care Unit (NICU) mothers. STUDY DESIGN: In this cross-sectional study, 119 mothers (~72% Medicaid) completed surveys during the first month of their infants' hospitalizations. Correlations and structural equation models (SEMs) evaluated relations among mothers' childhood trauma history, infant health appraisals, objective infant health, and ASD. RESULT: ASD symptoms (~55%) and childhood trauma (~33%) were prevalent. ASD was correlated with childhood trauma, infant health, and infant health appraisals. All SEMs had good fit, indicating that (a) infant health appraisals partially mediated relations between childhood trauma and ASD, and (b) infant health appraisals fully mediated relations between objective infant health and ASD. CONCLUSION: ASD symptoms are prevalent among NICU mothers regardless of infant health severity. Recognition of childhood trauma history and appraisals of infant health is critical for trauma-informed care.


Subject(s)
Intensive Care Units, Neonatal , Stress Disorders, Post-Traumatic , Cross-Sectional Studies , Female , Humans , Infant , Infant Health , Infant, Newborn , Mothers , Stress Disorders, Post-Traumatic/epidemiology
2.
Int J Behav Med ; 28(1): 64-72, 2021 Feb.
Article in English | MEDLINE | ID: mdl-32445188

ABSTRACT

BACKGROUND: As the research documenting loneliness as a risk factor for morbidity and mortality continues to grow, it becomes increasingly critical to understand the mechanics of this relationship. This study assessed whether sleep disturbance mediates the relationship between loneliness and health. METHOD: Data came from the 2006, 2010, and 2014 waves of the Health and Retirement Study, a longitudinal study of older Americans; participants ≥ 65 who completed the Psychosocial and Lifestyle Questionnaire in 2006 were included (n = 5067). Measures include the Hughes loneliness scales, a modified version of the Jenkins sleep scale, and self-reported health. Cross-lagged mediation models (i.e., path analysis) were used to model the relationships between loneliness, sleep disturbance, and self-reported health over the 8-year span. RESULTS: Loneliness predicted subsequent sleep disturbance, which in turn predicted subsequent self-reported health. Moreover, there was evidence of both direct and indirect effects (via sleep disturbance) of loneliness on self-reported health. These effects remained after controlling for demographics, isolation, and depression. CONCLUSION: Sleep disturbance partially mediates the relationship between loneliness and self-reported health over 8 years. These findings are not attributable to isolation or depression. Further research is necessary to develop and assess a more comprehensive model of how loneliness shapes health. This study indicates that targeting sleep disturbance may mitigate the health risks of loneliness in older Americans.


Subject(s)
Loneliness , Sleep Wake Disorders , Aged , Humans , Longitudinal Studies , Retirement , Sleep , Sleep Wake Disorders/epidemiology
3.
J Aging Health ; 32(1): 52-60, 2020.
Article in English | MEDLINE | ID: mdl-30289338

ABSTRACT

Objective: To jointly examine isolation, loneliness, and cynical hostility as risk factors for cognitive decline in older adults. Method: Data came from the 2006 to 2012 waves of the Health and Retirement Study (HRS), a longitudinal study of U.S. older adults (age ⩾ 65 years, n = 6,654). Measures included frequency of contact with social network (objective isolation), the Hughes Loneliness Scale (loneliness), a modified version of the Cook-Medley Hostility Inventory (cynical hostility), and a modified version of the Telephone Interview for Cognitive Status (cognitive function). Multilevel modeling (random slope + intercept) was used to examine the association between these factors and trajectories of cognitive function. Results and Discussion: After controlling for demographic characteristics, self-reported health, and functional limitations, loneliness (ß = -.34, 95% confidence interval [CI] = [-0.56, -0.11), and cynical hostility (ß = -.14, 95% CI = [-0.24, -0.04) correlated with lower cognitive function, but none predicted change in cognitive function. Objective social isolation was associated with lower cognitive function (ß = -.27, 95% CI = [-0.41, -0.12]) and steeper decline in cognitive function (ß = -.09, 95% CI = [-0.16, -0.01]).


Subject(s)
Cognition , Cognitive Dysfunction/psychology , Hostility , Loneliness , Social Isolation , Aged , Female , Humans , Longitudinal Studies , Male , Risk Factors , United States/epidemiology
4.
J Aging Health ; 32(9): 1156-1164, 2020 10.
Article in English | MEDLINE | ID: mdl-31868077

ABSTRACT

Objectives: To model the relationship between loneliness and sleep disturbance over time. Method: Data came from the Health and Retirement Study (2006, 2010, 2014 waves; age ≥ 65 years; n = 5,067). Loneliness was measured via the Hughes Loneliness Scale and sleep disturbance via a four-item scale assessing sleep and restedness. Cross-lagged panel modeling (path analysis) was used to jointly examine reciprocal effects between loneliness and sleep disturbance. Results: Higher loneliness correlated with higher sleep disturbance at baseline. There was evidence of reciprocal effects between loneliness and sleep across timepoints. These associations overall remained when accounting for demographics, objective isolation, and depression. Discussion: Although causality cannot be established, the findings indicate that the relationship between loneliness and sleep disturbance is bidirectional. This requires revision to the current theory on sleep disturbance as a mechanism for the relationship between loneliness and health and indicates that effective treatment of sleep disturbance may reduce loneliness.


Subject(s)
Loneliness , Sleep Wake Disorders/psychology , Aged , Aged, 80 and over , Depression/psychology , Female , Humans , Longitudinal Studies , Male , Marital Status , Models, Psychological , Socioeconomic Factors
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