Depression and Anxiety Symptoms in Mothers of Newborns Hospitalized on the Neonatal Intensive Care Unit

BackgroundMothers of infants hospitalized in the neonatal intensive care unit (NICU) are at risk for clinically significant levels of depression and anxiety symptoms; however, the maternal/infant characteristics that predict risk have been difficult to determine. Previous studies have conceptualized depression and anxiety symptoms separately, ignoring their comorbidity. Moreover, risk factors for these symptoms have not been assessed together in one study sample. ObjectivesThe primary aim of this study was to determine whether a diagnostic classification approach or a common factor model better explained the pattern of symptoms reported by NICU mothers, including depression, generalized anxiety, panic, and trauma. A secondary aim was to assess risk factors of aversive emotional states in NICU mothers based on the supported conceptual model. MethodIn this cross-sectional study, a nonprobability convenience sample of 200 NICU mothers completed questionnaires assessing maternal demographic and infant health characteristics, as well as maternal depression and anxiety symptoms. Structural equation modeling was used to test a diagnostic classification model and a common factor model of aversive emotional states and the risk factors of aversive emotional states in mothers in the NICU. ResultsMaximum likelihood estimates indicated that examining symptoms of depression and anxiety disorders as separate diagnostic classifications did not fit the data well, whereas examining the common factor of negative emotionality rendered an adequate fit to the data and identified a history of depression, infant illness, and infant prematurity as significant risk factors. DiscussionThis study supports a multidimensional view of depression and should guide both clinical practice and future research with NICU mothers.

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title: Perinatal Depression: A Systematic Review of Prevalence and Incidence
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title: The impact of very premature birth on the psychological health of mothers.
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abstract: In a two-stage screening procedure using the Edinburgh Postnatal Depression Scale (EPDS) at 8 and 12 weeks postpartum and the Montgomery-Asberg Depression Rating Scale (MADRS) and DSM-III-R at about 13 weeks postpartum, 41 women identified as depressed were randomly allocated to a study and a control group. The women in the study group received 6 weekly, counselling visits by the Child Health Clinic nurse and the control group received routine primary care. Twelve (80%) of 15 women with major depression in the study group were fully recovered after the intervention compared to 4 (25%) of 16 in the control group. Counselling by health nurses is helpful in managing postnatal depression and seems to work well within the Swedish Primary Health Care system.

title: Further validation of the IDAS: evidence of convergent, discriminant, criterion, and incremental validity.
abstract: The authors explicated the validity of the Inventory of Depression and Anxiety Symptoms (IDAS; D. Watson et al., 2007) in 2 samples (306 college students and 605 psychiatric patients). The IDAS scales showed strong convergent validity in relation to parallel interview-based scores on the Clinician Rating version of the IDAS; the mean convergent correlations were .51 and .62 in the student and patient samples, respectively. With the exception of the Well-Being Scale, the scales also consistently demonstrated significant discriminant validity. Furthermore, the scales displayed substantial criterion validity in relation to Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) mood and anxiety disorder diagnoses in the patient sample. The authors identified particularly clear and strong associations between (a) major depression and the IDAS General Depression, Dysphoria and Well-Being scales, (b) panic disorder and IDAS Panic, (c) posttraumatic stress disorder and IDAS Traumatic Intrusions, and (d) social phobia and IDAS Social Anxiety. Finally, in logistic regression analyses, the IDAS scales showed significant incremental validity in predicting several DSM-IV diagnoses when compared against the Beck Depression Inventory-II (A. T. Beck, R. A. Steer, & G. K. Brown, 1996) and the Beck Anxiety Inventory (A. T. Beck & R. A. Steer, 1990).

title: Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
abstract: This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and G...

title: Alternative Ways of Assessing Model Fit
abstract: This article is concerned with measures of fit of a model. Two types of error involved in fitting a model are considered. The first is error of approximation which involves the fit of the model, with optimally chosen but unknown parameter values, to the population covariance matrix. The second is overall error which involves the fit of the model, with parameter values estimated from the sample, to the population covariance matrix. Measures of the two types of error are proposed and point and interval estimates of the measures are suggested. These measures take the number of parameters in the model into account in order to avoid penalizing parsimonious models. Practical difficulties associated with the usual tests of exact fit or a model are discussed and a test of “close fit” of a model is suggested.

title: Comparative fit indexes in structural models.
abstract: Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.

title: Bayesian Model Selection in Social Research
abstract: It is argued that P-values and the tests based upon them give unsatisfactory results, especially in large samples. It is shown that, in regression, when there are many candidate independent variables, standard variable selection procedures can give very misleading results. Also, by selecting a single model, they ignore model uncertainty and so underestimate the uncertainty about quantities of interest. The Bayesian approach to hypothesis testing, model selection, and accounting for model uncertainty is presented. Implementing this is straightforward through the use of the simple and accurate BIC approximation, and it can be done using the output from standard software. Specific results are presented for most of the types of model commonly used in sociology. It is shown that this approach overcomes the difficulties with P-values and standard model selection procedures based on them. It also allows easy comparison of nonnested models, and permits the quantification of the evidence for a null hypothesis of interest, such as a convergence theory or a hypothesis about societal norms.

title: Anxiety, Depression, and Hostility In Mothers of Preterm Infants
abstract: Anxiety, depression, and hostility in 47 mothers of high-risk preterm infants were tested at the time of infant discharge and when the infant was 9 months old. Mothers of these high-risk preterms were significantly more anxious and depressed before their infant was discharged than when the infant was 9 months old. Before infant discharge, multiparas were significantly more depressed than primiparas. Additionally, mothers whose infants remained in the hospital longer than the mean of 51 days were significantly less depressed at infant discharge than were mothers whose infants had shorter hospital stays. Maternal anxiety, depression, and hostility did not differ based on marital status, maternal education, socioeconomic status, or maternal age at the time of infant discharge or when the infant was 9 months old.

title: Family support and family-centered care in the neonatal intensive care unit: origins, advances, impact.
abstract: Family-centered care (FCC) has been increasingly emphasized as an important and necessary element of neonatal intensive care. FCC is conceptualized as a philosophy with a set of guiding principles, as well as a cohort of programs, services, and practices that many hospitals have embraced. Several factors drive the pressing need for family-centered care and support of families of infants in NICUs, including the increase in the number of infants in NICUs; growth in diversity of the population and their concurrent needs; identification of parental and familial stress and lack of parenting confidence; and gaps in support for families, as identified by parents and NICU staff. We explore the origins of and advances in FCC in the NICU and identify various delivery methods and aspects of FCC and family support in the NICU. We examine the research and available evidence supporting FCC in the NICU and offer recommendations for increased dissemination and for future study.

title: Flexibility and Negative Affect: Examining the Associations of Explanatory Flexibility and Coping Flexibility to Each Other and to Depression and Anxiety
abstract: Recent research on vulnerabilities to depression and anxiety has begun to de-emphasize cognitive content in favor of the responsiveness of the individual to variations in situational context in arriving at explanations of events (explanatory flexibility) or attempts to cope with negative events (coping flexibility). The present study integrates these promising avenues of conceptualization by assessing the respective contributions of explanatory and coping flexibility to current levels of depression and anxiety symptoms. Results of structural equation modeling support a model of partial mediation in which both explanatory flexibility and coping flexibility independently contribute to the prediction of latent negative affect, with coping flexibility partially mediating the influence of explanatory flexibility.

title: African American Students' Responses to Racial Discrimination: How Race-Based Rejection Sensitivity and Social Constraints are Related to Psychological Reactions
abstract: We examined the association between two individual differences (race-based rejection sensitivity and social constraints in talking about racism with family, friends, and/or intimate partners) and psychological reactions to an incident of racial discrimination. Participants were 551 African American undergraduates from either a predominantly white university (PWU) or a historically black university (HBU). Race-based rejection sensitivity (RS-Race) predicted higher negative affect and lower forgiveness for the perpetrator. Social constraints predicted higher negative affect and (marginally) lower forgiveness. There was also an interaction between social constraints and RS-Race: RS-Race was strongly negatively related to positive affect and forgiveness among participants with low social constraints but essentially unrelated among those with high social constraints. Thought intrusions (that might prolong the memory of the prejudicial event) also mediated the effects of RS-Race and social constraints on negati...