Exploring marriage-parenting typologies and their contextual antecedents and developmental sequelae

To identify types of families, latent-class analysis was applied to (reported) marriage and (observed) parenting measures obtained during the infancy, toddler, and/or preschool years for 828 two-parent families participating in the NICHD Study of Child Care. Five types of families were identified: Consistently Supportive (i.e., good parenting, good marriage, 15% of sample), Consistently Moderate (i.e., moderate marriage, moderate parenting, 43%), Consistently Risky (i.e., poor parenting, poor marriage, 16%), Good Parenting/Poor Marriage (19%), and Poor Parenting/Good Marriage (7%). When groups were compared in terms of contextual antecedents (measured at child age I month) and child cognitive-academic and socioemotional functioning in first grade, results indicated (a) that contextual risks increased linearly and children's functioning decreased linearly as one moved across the first three aforementioned groups; and after controlling for group differences in background factors (b) that children in the Good-Parenting/Poor-Marriage families outperformed those in the Poor Parenting/Good Marriage; (c) that there was evidence of "added value" developmentally when children experienced two sources of support (i.e., good marriage and good parenting) rather than just one (i.e., good marriage or good parenting); but (d) that there was only modest evidence of protective buffering whereby children experiencing just good parenting (but not just good marriages) outperformed children experiencing poor parenting and poor marriages. Results are discussed in terms of the relative influence of marriage and parenting on child development and the potential benefits of applying typological approaches to the study of marriage-parenting family subsystems

Infant-mother attachment security, contextual risk, and early development: A moderational analysis

In light of evidence that the effects of attachment security on subsequent development may be contingent on the social context in which the child continues to develop, we examined the effect of attachment security at age 15 months, cumulative contextual risk from I to 36 months, and the interaction of attachment and cumulative risk to predict socioemotional and cognitive linguistic functioning at age 3 years, using data from the National Institute of Child Health and Human Development Study of Early Child Care. Results indicated that early attachment predicts both socioemotional development and language skills, but not cognitive functioning as indexed by a measure of school readiness, and that tire effect of attachment on socioemotional development and expressive language varied as a function of social-contextual risk. Insecure-avoidant infants proved most vulnerable to contextual risk, not children classified as secure or insecure more generally, although in one instance security did prove protective with respect to the adverse effects of cumulative contextual risk. Findings are discussed in terms of risk and resilience and in light of the probabilistic nature of the relation between early attachment and later development

Precursors of attachment security

Widely regarded as the state-of-the-science reference on attachment, this handbook interweaves theory and cutting-edge research with clinical applications

Prediction of naturally-occurring, industrially-induced and total trans fatty acids in butter, dairy spreads and Cheddar cheese using vibrational spectroscopy and multivariate data analysis

peer-reviewedThis study investigated the use of vibrational spectroscopy [near infrared (NIR), Fourier-transform mid-infrared (FT-MIR), Raman] and multivariate data analysis for (1) quantifying total trans fatty acids (TT), and (2) separately predicting naturally-occurring (NT; i.e., C16:1 t9; C18:1 trans-n, n = 6 … 9, 10, 11; C18:2 trans) and industrially-induced trans fatty acids (IT = TT – NT) in Irish dairy products, i.e., butter (n = 60), Cheddar cheese (n = 44), and dairy spreads (n = 54). Partial least squares regression models for predicting NT, IT and TT in each type of dairy product were developed using FT-MIR, NIR and Raman spectral data. Models based on NIR, FT-MIR and Raman spectra were used for the prediction of NT and TT content in butter; best prediction performance achieved a coefficient of determination in validation (R2V) ∼ 0.91–0.95, root mean square error of prediction (RMSEP) ∼ 0.07–0.30 for NT; R2V ∼ 0.92–0.95, RMSEP ∼ 0.23–0.29 for TT.This project was funded by the Irish Department of Agriculture, Food and the Marine as part of CheeseBoard 2015. Ming Zhao is a Teagasc Walsh Fellow

Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the diagnosis of dementia within community dwelling populations

<b>Background</b><p></p> Various tools exist for initial assessment of possible dementia with no consensus on the optimal assessment method. Instruments that use collateral sources to assess change in cognitive function over time may have particular utility. The most commonly used informant dementia assessment is the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE).<p></p> A synthesis of the available data regarding IQCODE accuracy will help inform cognitive assessment strategies for clinical practice, research and policy.<p></p> <b>Objectives</b><p></p> Our primary objective was to determine the diagnostic accuracy of the informant based questionnaire IQCODE, for detection of all cause (undifferentiated) dementia in community-dwelling adults with no previous cognitive assessment. We sought to describe the accuracy of IQCODE (the index test) against a clinical diagnosis of dementia (the reference standard).<p></p> Our secondary objective was to describe the effect of heterogeneity on the summary estimates. We were particularly interested in the traditional 26-item scale versus the 16-item short form; and language of administration. We explored the effect of varying the threshold IQCODE score used to define 'test positivity'.<p></p> <b>Search methods</b><p></p> We searched the following sources on 28 January 2013: ALOIS (Cochrane Dementia and Cognitive Improvement Group), MEDLINE (OvidSP), EMBASE (OvidSP), PsycINFO (OvidSP), BIOSIS Previews (ISI Web of Knowledge), Web of Science with Conference Proceedings (ISI Web of Knowledge), LILACS (BIREME). We also searched sources relevant or specific to diagnostic test accuracy: MEDION (Universities of Maastrict and Leuven); DARE (York University); ARIF (Birmingham University). We used sensitive search terms based on MeSH terms and other controlled vocabulary.<p></p> <b>Selection criteria</b><p></p> We selected those studies performed in community settings that used (not necessarily exclusively) the IQCODE to assess for presence of dementia and, where dementia diagnosis was confirmed, with clinical assessment. Our intention with limiting the search to a 'community' setting was to include those studies closest to population level assessment. Within our predefined community inclusion criteria, there were relevant papers that fulfilled our definition of community dwelling but represented a selected population, for example stroke survivors. We included these studies but performed sensitivity analyses to assess the effects of these less representative populations on the summary results.<p></p> <b>Data collection and analysis</b><p></p> We screened all titles generated by the electronic database searches and abstracts of all potentially relevant studies were reviewed. Full papers were assessed for eligibility and data extracted by two independent assessors. For quality assessment (risk of bias and applicability) we used the QUADAS 2 tool. We included test accuracy data on the IQCODE used at predefined diagnostic thresholds. Where data allowed, we performed meta-analyses to calculate summary values of sensitivity and specificity with corresponding 95% confidence intervals (CIs). We pre-specified analyses to describe the effect of IQCODE format (traditional or short form) and language of administration for the IQCODE.<p></p> <b>Main results</b><p></p> From 16,144 citations, 71 papers described IQCODE test accuracy. We included 10 papers (11 independent datasets) representing data from 2644 individuals (n = 379 (14%) with dementia). Using IQCODE cut-offs commonly employed in clinical practice (3.3, 3.4, 3.5, 3.6) the sensitivity and specificity of IQCODE for diagnosis of dementia across the studies were generally above 75%.<p></p> Taking an IQCODE threshold of 3.3 (or closest available) the sensitivity was 0.80 (95% CI 0.75 to 0.85); specificity was 0.84 (95% CI 0.78 to 0.90); positive likelihood ratio was 5.2 (95% CI 3.7 to 7.5) and the negative likelihood ratio was 0.23 (95% CI 0.19 to 0.29).<p></p> Comparative analysis suggested no significant difference in the test accuracy of the 16 and 26-item IQCODE tests and no significant difference in test accuracy by language of administration. There was little difference in sensitivity across our predefined diagnostic cut-points.<p></p> There was substantial heterogeneity in the included studies. Sensitivity analyses removing potentially unrepresentative populations in these studies made little difference to the pooled data estimates. The majority of included papers had potential for bias, particularly around participant selection and sampling. The quality of reporting was suboptimal particularly regarding timing of assessments and descriptors of reproducibility and inter-observer variability.<p></p> <b>Authors' conclusions</b><p></p> Published data suggest that if using the IQCODE for community dwelling older adults, the 16 item IQCODE may be preferable to the traditional scale due to lesser test burden and no obvious difference in accuracy. Although IQCODE test accuracy is in a range that many would consider 'reasonable', in the context of community or population settings the use of the IQCODE alone would result in substantial misdiagnosis and false reassurance. Across the included studies there were issues with heterogeneity, several potential biases and suboptimal reporting quality

The significance of insecure attachment and disorganization in the development of children's externalizing behavior: A meta-analytic study

This study addresses the extent to which insecure and disorganized attachments increase risk for externalizing problems using meta-analysis. From 69 samples (N = 5,947), the association between insecurity and externalizing problems was significant, d = 0.31 (95% CI: 0.23, 0.40). Larger effects were found for boys (d = 0.35), clinical samples (d = 0.49), and from observation-based outcome assessments (d = 0.58). Larger effects were found for attachment assessments other than the Strange Situation. Overall, disorganized children appeared at elevated risk (d = 0.34, 95% CI: 0.18, 0.50), with weaker effects for avoidance (d = 0.12, 95% CI: 0.03, 0.21) and resistance (d = 0.11, 95% CI: −0.04, 0.26). The results are discussed in terms of the potential significance of attachment for mental health

Factorial invariance of the Patient Health Questionnaire and Generalized Anxiety Disorder Questionnaire.

The UK's Improving Access to Psychological Therapies (IAPT) programme uses the Patient Health Questionnaire Depression Scale (PHQ-9; Kroenke, Spitzer, & Williams, , J. Gen. Intern. Med., 16, 606) and Generalized Anxiety Disorder Scale (GAD-7; Spitzer et al., , Arch. Intern. Med., 166, 1092) to assess patients' symptoms of depression and anxiety respectively. Data are typically collected via telephone or face-to-face; however, no study has statistically investigated whether the questionnaires' items operate equivalently across these modes of data collection. This study aimed to address this omission

Predicting treatment outcome in psychological treatment services by identifying latent profiles of patients

BACKGROUND: The outcomes of psychological therapies for anxiety and depression vary across individuals and symptom domains. Being able to predict treatment response from readily available patient data at presentation has potentially important benefits in aiding decisions about the most suitable interventions for a patient. This paper presents a method of identifying subgroups of patients using latent profile analysis, and comparing response to psychological treatments between these profiles. METHODS: All outpatients taken into treatment at two psychological treatment services in London, UK and who provided basic demographic information and standardized symptom measures were included in the analysis (n=16636). RESULTS: Latent Profile Analysis was performed on intake data to identify statistically different groups of patients, which were then examined in longitudinal analyses to determine their capacity to predict treatment outcomes. Comparison between profiles showed considerable variation in recovery (74-15%), deterioration rates (5-20%), and levels of attrition (17-40%). Further variation in outcomes was found within the profiles when different intensities of psychological intervention were delivered. LIMITATIONS: Latent profiles were identified using data from two services, so generalisability to other services should be considered. Routinely collected patient data was included, additional patient information may further enhance utility of the profiles. CONCLUSIONS: These results suggest that intake data can be used to reliably classify patients into profiles that are predictive of outcome to different intensities of psychological treatment in routine care. Algorithms based on these kinds of data could be used to optimize decision-making and aid the appropriate matching of patients to treatment

The longitudinal heterogeneity of autistic traits: A systematic review

BACKGROUND: Previous reviews have characterised the mean stability of autistic traits (ATs) across samples on a single measure. However, no review has yet assessed mean change across a range of measures, or described the longitudinal heterogeneity of ATs, i.e. variation in direction and degree of change. METHOD: A systematic literature review was conducted using PubMed, PsycINFO and EMBASE up to May 31 2020. Forty-four studies meeting inclusion criteria were identified. RESULTS: Retrieved studies ranged from N = 20 to N = 9,744. Ages spanned one to 15 years at baseline and two to 23 years at follow-up. The proportion of female participants per study ranged from 0 to 51%. There is some evidence that overall ATs tend to reduce over time for autistic children, reflecting decreases in social communication difficulties but not restricted behaviours. This effect was strongest in clinical samples and using parent-report measures. However, there was good evidence that statistics of mean change obscure between-person differences in within-person change. Decreasing ATs appear linked to higher verbal and non-verbal IQ and female gender in autistic participants. Four patterns of change: increasing, decreasing and stable high and low best characterised the data. CONCLUSIONS: Individuals experience diverse patterns of change over time. More general population studies are needed to reduce male bias. More work is needed to characterise the relationship between trajectories and well-being, functioning and quality of life outcomes. This will help to understand factors that promote resilience and reduce risk, and therefore to improve the timing and targets of intervention

Macrophages in Synovial Inflammation

Synovial macrophages are one of the resident cell types in synovial tissue and while they remain relatively quiescent in the healthy joint, they become activated in the inflamed joint and, along with infiltrating monocytes/macrophages, regulate secretion of pro-inflammatory cytokines and enzymes involved in driving the inflammatory response and joint destruction. Synovial macrophages are positioned throughout the sub-lining layer and lining layer at the cartilage–pannus junction and mediate articular destruction. Sub-lining macrophages are now also considered as the most reliable biomarker for disease severity and response to therapy in rheumatoid arthritis (RA). There is a growing understanding of the molecular drivers of inflammation and an appreciation that the resolution of inflammation is an active process rather than a passive return to homeostasis, and this has implications for our understanding of the role of macrophages in inflammation. Macrophage phenotype determines the cytokine secretion profile and tissue destruction capabilities of these cells. Whereas inflammatory synovial macrophages have not yet been classified into one phenotype or another it is widely known that TNFα and IL-l, characteristically released by M1 macrophages, are abundant in RA while IL-10 activity, characteristic of M2 macrophages, is somewhat diminished. Here we will briefly review our current understanding of macrophages and macrophage polarization in RA as well as the elements implicated in controlling polarization, such as cytokines and transcription factors like NFκB, IRFs and NR4A, and pro-resolving factors, such as LXA4 and other lipid mediators which may promote a non-inflammatory, pro-resolving phenotype, and may represent a novel therapeutic paradigm