Resilience amongst Australian Aboriginal Youth: An Ecological Analysis of Factors Associated with Psychosocial Functioning in High and Low Family Risk Contexts

We investigate whether the profile of factors protecting psychosocial functioning of high risk exposed Australian Aboriginal youth are the same as those promoting psychosocial functioning in low risk exposed youth. Data on 1,021 youth aged 12–17 years were drawn from the Western Australian Aboriginal Child Health Survey (WAACHS 2000–2002), a population representative survey of the health and well-being of Aboriginal children, their families and community contexts. A person-centered approach was used to define four groups of youth cross-classified according to level of risk exposure (high/low) and psychosocial functioning (good/poor). Multivariate logistic regression was used to model the influence of individual, family, cultural and community factors on psychosocial outcomes separately for youth in high and low family-risk contexts. Results showed that in high family risk contexts, prosocial friendship and low area-level socioeconomic status uniquely protected psychosocial functioning. However, in low family risk contexts the perception of racism increased the likelihood of poor psychosocial functioning. For youth in both high and low risk contexts, higher self-esteem and self-regulation were associated with good psychosocial functioning although the relationship was non-linear. These findings demonstrate that an empirical resilience framework of analysis can identify potent protective processes operating uniquely in contexts of high risk and is the first to describe distinct profiles of risk, protective and promotive factors within high and low risk exposed Australian Aboriginal youth.     

Socially isolated? How parents and neighbourhood adults influence youth behaviour in disadvantaged communities

William Julius Wilson’s model of adult joblessness, community disorganization and their effects on youth problem behaviour de-emphasizes the range in children’s outcomes across socially disorganized communities, and says little about the factors that influence this variation. It also does not address the processes by which family structure and relationships affect the well-being of African-American and poor youth. My work is part of a larger research agenda that has begun to address these issues by focusing on the differential rates of sexual activity among youth living in disadvantaged environments, and developing models to explain this variation. This work suggests that units of socially cohesive, stable adults exist among the social networks of successful children and families in poor neighbourhoods. It also points to the existence and functioning of alternative two-parent family structures and offers hypotheses for how family environment interacts with neighbourhood context to influence youth behaviour.     

Examining the influence of sport program staff and parent/caregiver support on youth outcomes

Abstract

Youth participation in sport is associated with positive developmental outcomes. The development of life skills is especially important for urban youth of color who are often underserved and face poor long-term outcomes. To service the needs of underserved youth, community youth sport programs have begun to utilize sport-based positive youth development (PYD). Through this approach, key adult figures such as sport program staff and parents/caregivers have been identified as important mechanisms for life skill development and the transfer of learning. The aim of the current study sought to better understand how key adult figures influence life skill outcomes of urban youth of color involved in a community sport-based PYD program. Hierarchical linear regression analyses were used to examine the independent and interactive effects of staff support and parent/caregiver support on youth life skill and transfer of learning outcomes. Results indicated that staff support and parent/caregiver support predicted youth life skill and transfer of learning outcomes, both independently and, in some cases, interactively.     

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

There has been a long-standing interest in the assessment of the neurobehavioral integrity of the newborn infant. The NICU Network Neurobehavioral Scale (NNNS) was developed as an assessment for the at-risk infant. These are infants who are at increased risk for poor developmental outcome because of insults during prenatal development, such as substance exposure or prematurity or factors such as poverty, poor nutrition or lack of prenatal care that can have adverse effects on the intrauterine environment and affect the developing fetus. The NNNS assesses the full range of infant neurobehavioral performance including neurological integrity, behavioral functioning, and signs of stress/abstinence. The NNNS is a noninvasive neonatal assessment tool with demonstrated validity as a predictor, not only of medical outcomes such as cerebral palsy diagnosis, neurological abnormalities, and diseases with risks to the brain, but also of developmental outcomes such as mental and motor functioning, behavior problems, school readiness, and IQ. The NNNS can identify infants at high risk for abnormal developmental outcome and is an important clinical tool that enables medical researchers and health practitioners to identify these infants and develop intervention programs to optimize the development of these infants as early as possible. The video shows the NNNS procedures, shows examples of normal and abnormal performance and the various clinical populations in which the exam can be used.     

Behavioral phenotypes of genetic mouse models of autism

More than a hundred de novo single gene mutations and copy‐number variants have been implicated in autism, each occurring in a small subset of cases. Mutant mouse models with syntenic mutations offer research tools to gain an understanding of the role of each gene in modulating biological and behavioral phenotypes relevant to autism. Knockout, knockin and transgenic mice incorporating risk gene mutations detected in autism spectrum disorder and comorbid neurodevelopmental disorders are now widely available. At present, autism spectrum disorder is diagnosed solely by behavioral criteria. We developed a constellation of mouse behavioral assays designed to maximize face validity to the types of social deficits and repetitive behaviors that are central to an autism diagnosis. Mouse behavioral assays for associated symptoms of autism, which include cognitive inflexibility, anxiety, hyperactivity, and unusual reactivity to sensory stimuli, are frequently included in the phenotypic analyses. Over the past 10 years, we and many other laboratories around the world have employed these and additional behavioral tests to phenotype a large number of mutant mouse models of autism. In this review, we highlight mouse models with mutations in genes that have been identified as risk genes for autism, which work through synaptic mechanisms and through the mTOR signaling pathway. Robust, replicated autism‐relevant behavioral outcomes in a genetic mouse model lend credence to a causal role for specific gene contributions and downstream biological mechanisms in the etiology of autism.     

Feeding birds in our towns and cities: a global research opportunity

Wild bird feeding is one of the most common forms of human-wildlife interactions in the Western world. Originally a practice providing nutritional assistance to over-wintering birds, especially in more northern latitudes, birds throughout the cities of the world are now provided with considerable amounts and a variety of foods year-round. Despite the global nature of the practice, remarkably little is known about the outcomes and implications of what may be seen as a supplementary feeding experiment on a massive scale. Although many claims are made about the benefits of feeding, there are growing concerns about the spread of disease, poor nutrition, risk of dependency and many other important issues. Constructive debate among increasingly vigorous proponents and opponents is currently constrained by a lack of reliable information. Here we argue that bird feeding provides an important, if challenging, opportunity for fundamental research in urban ecology.     

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms,Behavioral Changes and Negative Health Outcomes in Rodents

Chronic, unresolved stress is a major risk factor for the development of clinical depression. While many preclinical models of stress-induced depression have been reported, the unpredictable chronic mild stress (UCMS) protocol is an established translationally-relevant model for inducing behavioral symptoms commonly associated with clinical depression, such as anhedonia, altered grooming behavior, and learned helplessness in rodents. The UCMS protocol also induces physiological (e.g., hypercortisolemia, hypertension) and neurological (e.g., anhedonia, learned helplessness) changes that are clinically associated with depression. Importantly, UCMS-induced depressive symptoms can be ameliorated through chronic, but not acute, treatment with common SSRIs. As such, the UCMS protocol offers many advantages over acute stress protocols or protocols that utilize more extreme stressors. Our protocol involves randomized, daily exposures to 7 distinct stressors: damp bedding, removal of bedding, cage tilt, alteration of light/dark cycles, social stresses, shallow water bath, and predator sounds/smells. By subjecting rodents 3-4 hr daily to these mild stressors for 8 weeks, we demonstrate both significant behavioral changes and poor health outcomes to the cardiovascular system. This approach allows for in-depth interrogation of the neurological, behavioral, and physiological alterations associated with chronic stress-induced depression, as well as for testing of new potential therapeutic agents or intervention strategies.     

Hyperuricemia and untreated gout are poor prognostic markers among those with a recent acute myocardial infarction

Introduction  

Patients with a history of myocardial infarction (MI) are often at risk for complications, including subsequent MI and death. Use of prognostic markers may aid in preventing these poor outcomes. Hyperuricemia is associated with increased risk for coronary heart disease (CHD) and/or mortality; however, it is unknown if serum urate (sUA) levels predict outcomes in patients with previous MI. The purpose of this study was to assess hyperuricemia as a biomarker of CHD outcomes in such patients.     

A review of family and environmental correlates of health behaviors in high-risk youth

Disparities in the prevalence of obesity in youth place minority and low socioeconomic status youth at increased risk for the development of chronic disease, such as metabolic syndrome and type 2 diabetes. Contributing factors to the increases in obesity include a decline in positive health behaviors, such as making healthy dietary choices, engaging in physical activity, and limiting sedentary behaviors. Family and physical environmental contextual factors related to health behaviors are increasingly the focus of health behavior interventions in line with the bioecological model that encourages a system-focused perspective on understanding health behavior influences. Physical environmental characteristics, such as home and neighborhood characteristics and resources, provide the tangible means to support health behaviors and are important contextual variables to consider that may increase intervention effectiveness. Therefore, the current review seeks to highlight the importance of investigating influences of behavior beyond individual characteristics in understanding factors related to the risk of developing metabolic syndrome and type 2 diabetes in youth at high risk for developing chronic disease. The current study reviews the non-intervention literature on family and physical environmental factors related to health behaviors (i.e., diet, physical activity, and sedentary behavior) in youth who are considered to be at-risk for developing metabolic syndrome and type 2 diabetes. Results on 38 published articles of diet, physical activity, and sedentary behaviors showed support for the role of parenting and physical environmental factors, particularly parental monitoring and neighborhood context, such as social cohesion, as they relate to health behaviors in high-risk youth. Implications and recommendations for future research are discussed.     

Informal education and health promoting approaches in adult cancer survivors

This review looks at the available data relating to the informal education aspects and other health promoting approaches applied by adult cancer survivors to reduce the risk of cancer. The implications of such behavioral interventions on oncology practice are discussed. We also highlight areas of future research to pursue. Available data show that many cancer survivors remain engaged in risky health behaviors post-diagnosis, which are associated with an increased risk of disease's recurrence. However, over the last years patients seem to increasingly receive adequate risk-based medical care. The application of appropriate informal education approaches, such as diet, exercise, and cessation of former unhealthy habits, such as smoking and alcohol has facilitated behavioral changes in cancer survivors, thoroughly improving their well being and overall quality of life (QOL). Most of the research studies published to date have applied structured lifestyle interventions on intensive, individualized counseling sessions delivered by trained personnel or psychosocial-based mediations and reported that these approaches are largely effective in promoting the adoption of a healthier lifestyle in cancer survivors. These interventions have been reported to reduce the risk of cancer recurrence and thus to obtain an obvious positive impact on their well-being and overall QOL. However, there is still insufficient evidence to conclude and support with confidence the effectiveness of any of these behavioral interventions and therefore future interventions should be initiated to assess the long-term effects and validating outcomes of lifestyle and other psychosocial interventions.     

Swimming: On Oxygen, Resistance, and Possibility for Immigrant Youth under Siege

In this article, we consider the ways in which educational policies and institutions today enable or obstruct young people who are immigrant English-language learners as they seek to cross cultural and educational borders. Contrasting a class action suit in California protesting high stakes testing that will significantly limit graduation rates, and an ethnographic analysis of the international high schools in which immigrant youth engage with cultural and educational depth and support and graduate at exceptional rates, this article challenges the current policy climate in which immigrant youth are increasingly under siege and at risk of being multiply undocumented. In the spirit of protest, we trace the many sites of resistance and possibility dotting the nation, in which educators, communities, families, advocates, and youth are demanding educational access and justice.     

ADHD and comorbid conduct problems among adolescents: associations with self-esteem and substance use

Attention-deficit/hyperactivity disorder (ADHD) is a common child and adolescent disorder that is associated with negative outcomes (e.g., emotional and behavioral problems, substance use) and is often comorbid with Conduct Problems (CP). Research findings are mixed as to whether youth with ADHD alone or comorbid ADHD/CP suffer from low self-esteem. Research has also shown links between low self-esteem and ADHD (alone and with CP) with substance use; yet, no research has examined the links between self-esteem and substance use in adolescents with ADHD and CP. The current study examined the relation between ADHD with and without comorbid CP and self-esteem, and whether self-esteem moderated the relation between ADHD and ADHD/CP with substance use among adolescents. We hypothesized that adolescents with comorbid ADHD/CP would experience lower self-esteem than adolescents with ADHD alone or with neither disorder and that self-esteem would moderate the association between ADHD, CP, and substance use. Participants were 62 adolescents who completed the laboratory-based study with a parent. Results suggested that adolescents with comorbid ADHD and CP had significantly lower self-esteem than adolescents with ADHD alone or neither disorder. Self-esteem was not significantly different for adolescents with ADHD alone versus those in the control group. There was one marginally significant interaction between ADHD and self-esteem predicting substance use, such that individuals with comorbid ADHD/CP who also had low self-esteem tended to use more substances. Results have implications for treatments that target adolescents with ADHD and comorbid CP, as these adolescents are at risk for many deleterious outcomes.     

Does my mouse have Alzheimer's disease?

Small animal models that manifest many of the characteristic neuropathological and behavioral features of Alzheimer's disease (AD) have been developed and have proven of great value for studying the pathogenesis of this disorder at the molecular, cellular and behavioral levels. The great progress made in our understanding of the genetic factors that either cause or contribute to the risk of developing AD has prompted many laboratories to create transgenic (tg) mice that overexpress specific genes which cause familial forms of the disease. Several of these tg mice display neuropathological and behavioral features of AD including amyloid β-peptide (Aβ) and amyloid deposits, neuritic plaques, gliosis, synaptic alterations and signs of neurodegeneration as well as memory impairment. Despite these similarities, important differences in neuropathology and behavior between these tg mouse models and AD have also been observed, and to date no perfect animal model has emerged. Moreover, ascertaining which elements of the neuropathological and behavioral phenotype of these various strains of tg mice are relevant to that observed in AD continues to be a challenge. Here we provide a critical review of the AD-like neuropathology and behavioral phenotypes of several well-known and utilized tg mice that express human APP transgenes.     

Impartial Institutions,Pathogen Stress and the Expanding Social Network

Anthropologists have documented substantial cross-society variation in people’s willingness to treat strangers with impartial, universal norms versus favoring members of their local community. Researchers have proposed several adaptive accounts for these differences. One variant of the pathogen stress hypothesis predicts that people will be more likely to favor local in-group members when they are under greater infectious disease threat. The material security hypothesis instead proposes that institutions that permit people to meet their basic needs through impartial interactions with strangers reinforce a tendency toward impartiality, whereas people lacking such institutions must rely on local community members to meet their basic needs. Some studies have examined these hypotheses using self-reported preferences, but not with behavioral measures. We conducted behavioral experiments in eight diverse societies that measure individuals’ willingness to favor in-group members by ignoring an impartial rule. Consistent with the material security hypothesis, members of societies enjoying better-quality government services and food security show a stronger preference for following an impartial rule over investing in their local in-group. Our data show no support for the pathogen stress hypothesis as applied to favoring in-groups and instead suggest that favoring in-group members more closely reflects a general adaptive fit with social institutions that have arisen in each society.     

Neural networks for clustered and longitudinal data using mixed effects models

Although most statistical methods for the analysis of longitudinal data have focused on retrospective models of association, new advances in mobile health data have presented opportunities for predicting future health status by leveraging an individual's behavioral history alongside data from similar patients. Methods that incorporate both individual-level and sample-level effects are critical to using these data to its full predictive capacity. Neural networks are powerful tools for prediction, but many assume input observations are independent even when they are clustered or correlated in some way, such as in longitudinal data. Generalized linear mixed models (GLMM) provide a flexible framework for modeling longitudinal data but have poor predictive power particularly when the data are highly nonlinear. We propose a generalized neural network mixed model that replaces the linear fixed effect in a GLMM with the output of a feed-forward neural network. The model simultaneously accounts for the correlation structure and complex nonlinear relationship between input variables and outcomes, and it utilizes the predictive power of neural networks. We apply this approach to predict depression and anxiety levels of schizophrenic patients using longitudinal data collected from passive smartphone sensor data.     

Pathways of the determinants of unfavourable birth outcomes in Kenya

This paper explores the pathways of the determinants of unfavourable birth outcomes, such as premature birth, the size of the baby at birth, and Caesarean section deliveries, in Kenya using graphical log-linear chain models. The results show that a number of factors that do not have direct associations with unfavourable birth outcomes contribute to these outcomes indirectly through intermediate factors. Marital status, the desirability of a pregnancy, the use of family planning and access to health facilities have no direct associations with poor birth outcomes, such as premature births and the small size of the baby at birth, but are linked to these outcomes through antenatal care. Antenatal care is identified as a central link between various sociodemographic or reproductive factors and birth outcomes.     

Perinatal depression: implications for child mental health

Perinatal depression is common and primary care holds a crucial role for detecting, treating or, if necessary, providing referrals to mental health care for affected women. Family doctors should be aware of risk factors for peripartum depression, including previous history of depression, life events and interpersonal conflict. Perinatal depression has been associated with many poor outcomes, including maternal, child and family unit challenges. Infants and young children of perinatally depressed mothers are more likely to have a difficult temperament, as well as cognitive and emotional delays. The primary care setting is uniquely poised to be the screening and treatment site for perinatal depression; however, several obstacles, both at patient and systems level, have been identified that interfere with women's treatment engagement. Current published treatment guidelines favour psychotherapy above medicines as first line treatment for mild to moderate perinatal depression, while pharmacotherapy is first choice for severe depression, often in combination with psychosocial or integrative approaches. Among mothers who decide to stop taking their antidepressants despite ongoing depression during the perinatal period, the majority suffer from relapsing symptoms. If depression continues post-partum, there is an increased risk of poor mother-infant attachment, delayed cognitive and linguistic skills in the infant, impaired emotional development and risk for behavioural problems in later life. Complex, comprehensive and multilevel algorithms are warranted to treat perinatal depression. Primary care doctors are best suited to initiate, carry out and evaluate the effectiveness of such interventions designed to prevent adverse outcomes of maternal perinatal depression on mother and child wellbeing.     

The sense and nonsense of direct-to-consumer genetic testing for cardiovascular disease

Expectations are high that increasing knowledge of the genetic basis of cardiovascular disease will eventually lead to personalised medicine—to preventive and therapeutic interventions that are targeted to at-risk individuals on the basis of their genetic profiles. Most cardiovascular diseases are caused by a complex interplay of many genetic variants interacting with many non-genetic risk factors such as diet, exercise, smoking and alcohol consumption. Since several years, genetic susceptibility testing for cardiovascular diseases is being offered via the internet directly to consumers. We discuss five reasons why these tests are not useful, namely: (1) the predictive ability is still limited; (2) the risk models used by the companies are based on assumptions that have not been verified; (3) the predicted risks keep changing when new variants are discovered and added to the test; (4) the tests do not consider non-genetic factors in the prediction of cardiovascular disease risk; and (5) the test results will not change recommendations of preventive interventions. Predictive genetic testing for multifactorial forms of cardiovascular disease clearly lacks benefits for the public. Prevention of disease should therefore remain focused on family history and on non-genetic risk factors as diet and physical activity that can have the strongest impact on disease risk, regardless of genetic susceptibility.     

Elucidating Poor Decision-Making in a Rat Gambling Task

Although poor decision-making is a hallmark of psychiatric conditions such as attention deficit/hyperactivity disorder, pathological gambling or substance abuse, a fraction of healthy individuals exhibit similar poor decision-making performances in everyday life and specific laboratory tasks such as the Iowa Gambling Task. These particular individuals may provide information on risk factors or common endophenotypes of these mental disorders. In a rodent version of the Iowa gambling task – the Rat Gambling Task (RGT), we identified a population of poor decision makers, and assessed how these rats scored for several behavioral traits relevant to executive disorders: risk taking, reward seeking, behavioral inflexibility, and several aspects of impulsivity. First, we found that poor decision-making could not be well predicted by single behavioral and cognitive characteristics when considered separately. By contrast, a combination of independent traits in the same individual, namely risk taking, reward seeking, behavioral inflexibility, as well as motor impulsivity, was highly predictive of poor decision-making. Second, using a reinforcement-learning model of the RGT, we confirmed that only the combination of extreme scores on these traits could induce maladaptive decision-making. Third, the model suggested that a combination of these behavioral traits results in an inaccurate representation of rewards and penalties and inefficient learning of the environment. Poor decision-making appears as a consequence of the over-valuation of high-reward-high-risk options in the task. Such a specific psychological profile could greatly impair clinically healthy individuals in decision-making tasks and may predispose to mental disorders with similar symptoms.