scholarly journals Using network analysis to illuminate the intergenerational transmission of adversity in the ALSPAC cohort

2021 ◽  
Author(s):  
Chad Lance Hemady ◽  
Lydia Gabriela Speyer ◽  
Janell Kwok ◽  
Franziska Meinck ◽  
G.J. Melendez-Torres ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Network Analysis ◽  
Physical Abuse ◽  
Intergenerational Transmission ◽  
Low Birthweight ◽  
Prenatal Smoking ◽  
Infant Outcomes ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

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 = 8 379) 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 were estimated to determine the shortest pathway from ACEs to infant outcomes, and to identify the risk factors that are most vital in bridging these variables. Results: In both models, childhood and prenatal risk factors were highly interrelated. Childhood physical abuse, but not threshold ACEs, was directly linked to LBW. Further, exposure to second-hand smoke, developing gestational hypertension, prenatal smoking, first time pregnancy, not being White, and older age were directly linked to LBW, while developing gestational diabetes, having previous pregnanc(ies), and lower educational attainment were associated with PTB. Only pre-eclampsia was directly linked to both outcomes. Network indices and shortest pathways plots indicate that sexual abuse played a central role in bridging ACEs to other risks and poor infant outcomes. Overall, prenatal smoking was determined as the most influential bridge node. Conclusions: As child physical abuse was directly linked to low birthweight, and child sexual abuse and prenatal smoking were the most influential bridge nodes, they can be considered priority candidate targets for interventions to disrupt intergenerational risk transmission. Further, our study demonstrates the promise of network analysis as an approach for illuminating the intergenerational transmission of adversity in its full complexity.

scholarly journals Prenatal Sociodemographic Factors Predicting Maltreatment of Children up to 3 Years Old: A Prospective Cohort Study Using Administrative Data in Japan

2021 ◽  
Vol 18 (5) ◽  
pp. 2505
Author(s):  
Aya Isumi ◽  
Kunihiko Takahashi ◽  
Takeo Fujiwara
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Child Maltreatment ◽  
Survey Data ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Characteristic Curve ◽  
Risk Scores ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

Identifying risk factors from pregnancy is essential for preventing child maltreatment. However, few studies have explored prenatal risk factors assessed at pregnancy registration. This study aimed to identify prenatal risk factors for child maltreatment during the first three years of life using population-level survey data from pregnancy notification forms. This prospective cohort study targeted all mothers and their infants enrolled for a 3- to 4-month-old health check between October 2013 and February 2014 in five municipalities in Aichi Prefecture, Japan, and followed them until the child turned 3 years old. Administrative records of registration with Regional Councils for Children Requiring Care (RCCRC), which is suggestive of child maltreatment cases, were linked with survey data from pregnancy notification forms registered at municipalities (n = 893). Exact logistic regression was used for analysis. A total of 11 children (1.2%) were registered with RCCRC by 3 years of age. Unmarried marital status, history of artificial abortion, and smoking during pregnancy were significantly associated with child maltreatment. Prenatal risk scores calculated as the sum of these prenatal risk factors, ranging from 0 to 7, showed high predictive power (area under receiver operating characteristic curve 0.805; 95% confidence interval (CI), 0.660–0.950) at a cut-off score of 2 (sensitivity = 72.7%, specificity = 83.2%). These findings suggest that variables from pregnancy notification forms may be predictors of the risk for child maltreatment by the age of three.

Predicting adverse neonatal outcomes in fetuses with abdominal wall defects using prenatal risk factors

2009 ◽  
Vol 201 (4) ◽  
pp. 383.e1-383.e6 ◽  
Author(s):  
Sara S. Nicholas ◽  
David M. Stamilio ◽  
Jeffery M. Dicke ◽  
Diana L. Gray ◽  
George A. Macones ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Wall ◽  
Neonatal Outcomes ◽  
Abdominal Wall Defects ◽  
Prenatal Risk ◽  
Prenatal Risk Factors ◽  
Adverse Neonatal Outcomes

scholarly journals Faktor Risiko Prenatal Perinatal Dan Postnatal Pada Kejadian Cerebral Palsy

2019 ◽  
Vol 8 (2) ◽  
pp. 204-209
Author(s):  
Bambang Trisnowiyanto ◽  
Yohanes Purwanto
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cerebral Palsy ◽  
Postnatal Period ◽  
Spastic Diplegia ◽  
Prenatal Risk ◽  
Prenatal Risk Factors ◽  
Spastic Hemiplegia ◽  
Postnatal Risk Factors ◽  
Observational Descriptive Study

Background: Cerebral Palsy (CP) is a disability disorder motor motorization is most common in children with a prevalence of 2-3 per 1000 live births. The term CP is explained as a group of movement and posture disorders that are often accompanied by impaired sensation, perception, cognition, communication, behavior, epilepsy, and secondary disorders of the musculoskeletal system. Disorders of CP occur in the immature central nervous system with non-progressive traits occurring in the prenatal, perinatal, and postnatal period. Methods:  The purpose of this study is to determine how much prenatal risk factors, perinatal, and postnatal events in CP at the Kitty Center Clinic in Jakarta for 5 year (2013 - 2017). Result: An observational descriptive study, which described prenatal perinatal, and postnatal risk factors for CP events at the Kitty Center Clinic in Jakarta for a period of 5 years (2013-2017) with a total of 523 study subjects. Based on the analysis of data obtained, based on the type of CP 35% quadripelgia spastic, 36% spastic diplegia, 6% spastic hemiplegia, 9% athetosis, and 14% hypotonia. Based on sex 62% are men, and 38% are women with a ratio of 1.6: 1.0. Based on the age of the child 11% <2 years, 34% 3-6 years, 33% 7-12 years, and 22%13-18 years. Conclusion:  Based on risk factors of 62% prenatal, 25% perinatal, and 12% postnatal. Prenatal risk factor is the biggest risk factor as much as 62% which causes Cerebral Palsy at the Kitty Center Clinic in Jakarta.

Intimate Partner Violence

2019 ◽  
Author(s):  
Jane S. Sillman
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Intimate Partner Violence ◽  
Physical Abuse ◽  
Partner Violence ◽  
Elder Abuse ◽  
Violent Behavior ◽  
Intimate Partner ◽  
Violence Risk ◽  
Gay Couples

Intimate-partner violence describes relationships characterized by intentional controlling or violent behavior by someone who is in an intimate relationship with the victim. The abuser’s controlling behavior may take many forms, including psychological abuse, physical abuse, sexual abuse, economic control, and social isolation. Abuse may ultimately lead to the death of the victim from homicide or suicide. Typically, an abusive relationship goes through cycles of violence. There are periods of calm, followed by increasing tension in the abuser, outbursts of violence, and return to periods of calm. These cycles often spiral toward increasing violence over time. The victims of intimate-partner violence are usually women, but intimate-partner violence is also a significant problem for gay couples and for the disabled and elderly of both sexes. This review discusses the epidemiology, diagnosis, treatment, outcomes, and prevention of intimate-partner violence. Risk factors for experiencing violence, risk factors for perpetrating violence, and consequences of abuse are also analyzed. This review contains 5 figures, 14 tables, and 30 references. Keywords: Domestic abuse, intimate-partner violence, elder abuse, child abuse, batterer, sexual abuse, physical abuse

Are There Prenatal Risk Factors for ADHD?

2020 ◽  
Vol 28 (2) ◽  
pp. 6-9,12
Author(s):  
Robert Eme
Keyword(s):  
Risk Factors ◽  
Prenatal Risk ◽  
Prenatal Risk Factors

scholarly journals S175. CLINICAL OUTCOMES IN PEOPLE AT HIGH RISK FOR PSYCHOSIS RELATED TO INTERACTIONS BETWEEN POLYGENIC RISK SCORES AND CHILDHOOD ADVERSITY

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S104-S104
Author(s):  
Anja Richter ◽  
Evangelos Vassos ◽  
Matthew J Kempton ◽  
Mark van der Gaag ◽  
Lieuwe de Haan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
High Risk ◽  
Prospective Study ◽  
Physical Abuse ◽  
Clinical Outcomes ◽  
Childhood Trauma ◽  
Childhood Adversity ◽  
Risk Scores ◽  
Polygenic Risk

Abstract Background Genetic vulnerability to psychosis is polygenic, involving multiple genes with small individual effects (Psychiatric Genomics Consortium (PGC), 2014). The risk of psychosis is also related to environmental factors, such as childhood trauma (Lardinois et al, 2011). Although the onset of psychosis is thought to result from the interaction of genetic and environmental risk factors (Walker & Diforio, 1997), the extent to which the influence of childhood trauma depends on genetic susceptibility remains unclear. We sought to address this issue in a large prospective study of people at clinical high risk (CHR) for psychosis. These individuals present with psychotic and affective symptoms, and are at increased risk of developing both schizophreniform and affective psychoses. Methods We studied subjects of European ancestry, drawn from EU-GEI, a large multi-centre prospective study of people at CHR for psychosis. At baseline, DNA was obtained from subjects who met the CAARMS criteria for the CHR state (n=266) and healthy controls (HC; n=42). Childhood trauma was assessed using the childhood trauma questionnaire (CTQ), which comprises 5 subdomains: emotional abuse, physical abuse, sexual abuse, physical neglect, and emotional neglect. Polygenic risk scores (PRSs) for schizophrenia (SCZ), bipolar disorder (BD) and major depressive disorder (MDD) were constructed separately, using results from meta-analyses by the corresponding Disorder Working Groups of the PGC. The CHR subjects were clinically monitored for up to 5 years and clinical outcomes were assessed in terms of transition to psychosis (as defined by the CAARMS), remission from the CHR state (subject no longer meets CAARMS inclusion criteria) and level of functioning (GAF Disability Scale). Logistic regression models were used to investigate the association between each PRSs and childhood trauma as predictors of transition and remission, adjusted by population stratification using the first 10 principal components, age, sex and site. All findings are reported at p&lt;0.017, Bonferroni-corrected for the 3 PRSs. Results Within the CHR sample, the onset of psychosis during follow up was related to interactions between the BD PRS and the total childhood trauma score (OR=0.959, 95% CI 0.930–0.988, p=0.006), and between the BD PRS and physical abuse (OR=0.787, 95% CI 0.689–0.900, p&lt;0.001). Remission from the CHR state was related to an interaction between the SCZ PRS and childhood sexual abuse (OR: 1.110, 95% CI 1.004–1.226, p=0.041). Discussion These data indicate that clinical outcomes in CHR subjects are related to interactions between the polygenic risk for psychotic disorders and childhood adversity. The measurement of interactions between genomic and environmental risk factors may help to predict individual outcomes in people at high risk in a clinical setting.

Prenatal risk factors for cryptorchidism: a record linkage study

1998 ◽  
Vol 12 (4) ◽  
pp. 383-396 ◽  
Author(s):  
Jones ◽  
Swerdlow ◽  
Griffith ◽  
Goldacre
Keyword(s):  
Risk Factors ◽  
Record Linkage ◽  
Linkage Study ◽  
Prenatal Risk ◽  
Prenatal Risk Factors
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