Using network analysis to illuminate the intergenerational transmission of adversity.

Objective: The effects of maternal exposure to adverse childhood experiences (ACEs) may be transmitted to subsequent generations through various biopsychosocial mechanisms. However, studies tend to focus on exploring one or two focal pathways with less attention paid to links between different pathways. Using a network approach, this paper explores a range of core prenatal risk factors that may link maternal ACEs to infant preterm birth (PTB) and low birthweight (LBW). Methods: We used data from the Avon Longitudinal Study of Parents and Children (ALSPAC) (n = 8379) to estimate two mixed graphical network models: Model 1 was constructed using adverse infant outcomes, biopsychosocial and environmental risk factors, forms of ACEs, and sociodemographic factors. In Model 2, ACEs were combined to represent a threshold ACEs score (≥4). Network indices (i.e., shortest path and bridge expected influence [1-step & 2-step]) were estimated to determine the shortest pathway from ACEs to infant outcomes, and to identify the risk factors that are vital in activating other risk factors and adverse outcomes. Results: Network analyses estimated a mutually reinforcing web of childhood and prenatal risk factors, with each risk connected to at least two other risks. Bridge influence indices suggested that childhood physical and sexual abuse and multiple ACEs were highly interconnected to others risks. Overall, risky health behaviours during pregnancy (i.e., smoking & illicit drug use) were identified as 'active' risk factors capable of affecting (directly and indirectly) other risk factors and contributing to the persistent activation of the global risk network. These risks may be considered priority candidate targets for interventions to disrupt intergenerational risk transmission. Our study demonstrates the promise of network analysis as an approach for illuminating the intergenerational transmission of adversity in its full complexity. HIGHLIGHTS: We took a network approach to assessing links between ACEs and birth outcomes.ACEs, other prenatal risk factors, and birth outcomes had complex inter-connectionsHealth behaviours in pregnancy were indicated as optimal intervention targets.

Objetivo: Los efectos de la exposición materna a experiencias adversas en la infancia (ACEs, en sus siglas en inglés) pueden ser transmitidos a las generaciones posteriores a través de varios mecanismos biopsicosociales. Sin embargo, los estudios tienden a centrarse en la exploración de una o dos vías focales, prestando menos atención a los vínculos entre diferentes vías. Utilizando un abordaje de red, este trabajo explora una serie de factores de riesgo prenatales centrales que pueden vincular las ACEs maternas con el nacimiento prematuro (PTB, en sus siglas en inglés) y el bajo peso al nacer (LBW, en sus siglas en inglés) de los bebés.Métodos: Se utilizaron datos del Estudio Longitudinal de Padres e Hijos de Avon (ALSPAC) (n = 8.379) para estimar dos modelos de red gráfica mixta: El modelo 1 se construyó utilizando los resultados adversos del lactante, los factores de riesgo biopsicosociales y ambientales, las formas de las ACE y los factores sociodemográficos. En el modelo 2, las ACEs se combinaron para representar una puntuación de ACEs umbral (≥ 4). Se estimaron los índices de red (es decir, el camino más corto y la influencia esperada del puente [1 y 2 pasos]) para determinar el camino más corto desde las ACEs hasta los resultados infantiles, y para identificar los factores de riesgo que son vitales para activar otros factores de riesgo y resultados adversos.Resultados: Los análisis de redes estimaron una red de factores de riesgo prenatales y de la infancia que se refuerzan mutuamente, y cada riesgo está conectado con al menos otros dos riesgos. Los índices de influencia de los puentes sugirieron que el abuso físico y sexual en la infancia y los múltiples ACEs estaban altamente interconectados con otros riesgos. En general, las conductas de riesgo para la salud durante el embarazo (es decir, el tabaquismo y el consumo de drogas ilícitas) se identificaron como factores de riesgo "activos" capaces de afectar (directa e indirectamente) a otros factores de riesgo y de contribuir a la activación persistente de la red de riesgo global. Estos riesgos pueden considerarse objetivos candidatos prioritarios para las intervenciones destinadas a interrumpir la transmisión intergeneracional del riesgo. Nuestro estudio demuestra la promesa del análisis de redes como abordaje para iluminar la transmisión intergeneracional de la adversidad en toda su complejidad.

Patterns of adverse childhood experiences and associations with prenatal substance use and poor infant outcomes in a multi-country cohort of mothers: a latent class analysis.

BACKGROUND: This paper enumerates and characterizes latent classes of adverse childhood experiences and investigates how they relate to prenatal substance use (i.e., smoking, alcohol, and other drugs) and poor infant outcomes (i.e., infant prematurity and low birthweight) across eight low- and middle-income countries (LMICs). METHODS: A total of 1189 mother-infant dyads from the Evidence for Better Lives Study cohort were recruited. Latent class analysis using the Bolck, Croon, and Hagenaars (BCH) 3-step method with auxiliary multilevel logistic regressions was performed. RESULTS: Three high-risk classes and one low-risk class emerged: (1) highly maltreated (7%, n = 89), (2) emotionally and physically abused with intra-familial violence exposure (13%, n = 152), (3), emotionally abused (40%, n = 474), and (4) low household dysfunction and abuse (40%, n = 474). Pairwise comparisons between classes indicate higher probabilities of prenatal drug use in the highly maltreated and emotionally abused classes compared with the low household dysfunction and abuse class. Additionally, the emotionally and physically abused with intra-familial violence exposure class had higher probability of low birthweight than the three remaining classes. CONCLUSION: Our results highlight the multifaceted nature of ACEs and underline the potential importance of exposure to childhood adversities on behaviors and outcomes in the perinatal period. This can inform the design of antenatal support to better address these challenges.

Artificial Differences in Clostridium difficile Infection Rates Associated with Disparity in Testing.

In 2015, Clostridium difficile testing rates among 30 US community, multispecialty, and cancer hospitals were 14.0, 16.3, and 33.9/1,000 patient-days, respectively. Pooled hospital onset rates were 0.56, 0.84, and 1.57/1,000 patient-days, respectively. Higher testing rates may artificially inflate reported rates of C. difficile infection. C. difficile surveillance should consider testing frequency.