21 research outputs found

    Cumulative effects of bullying and racial discrimination on adolescent health in Australia

    Get PDF
    This study examined how cumulative exposure to racial discrimination and bullying victimization influences the health of Australian adolescents (n=2802) aged 10-11 years (19.3% visible ethnic minorities (non-White, non-Indigenous); 2.6% Indigenous) using data from 3 waves (2010-2014) of the nationally representative Longitudinal Study of Australian Children (LSAC). Cumulative exposure to racial discrimination and bullying victimization had incremental negative effects on socioemotional difficulties. Higher accumulated exposure to both stressors across time was associated with increased BMI z-scores, and risk of overweight/obesity. Studies that examine exposure to single risk factors such as bullying victimization or racial discrimination at 1 time point only are likely to miss key determinants of health for adolescents from stigmatized racial/ethnic backgrounds and under-estimate their stressor burden

    Temperament of Small-for-Gestational-Age and Appropriate-for-Gestational-Age Infants Across the First Year of Life

    No full text
    Temperament of Small-for-Gestational-Age and Appropriate-for-Gestational-Age Infants Across the First Year of Lif

    Sexing the baby: Part 2 applying dynamic systems theory to the emergences of sex-related differences in infants and toddlers

    No full text
    a b s t r a c t During the first three years of life, children acquire knowledge about their own gender and the gendered nature of their environment. At the same time, sex-related behavioral differences emerge. How are we to understand the processes by which bodily differentiation, behavioral differentiation and gendered knowledge intertwine to produce male and female, masculine and feminine? In this article, we describe four central developmental systems concepts applied by psychologists to the study of early human development and develop them in enough depth to show how they play out, and what sort of knowledge-gathering strategies they require. The general theoretical approach to understanding the emergence of bodily/behavioral difference has broad applicability for the health sciences and for the study of gender disparities. Using dynamic systems theory will deepen and extend the reach of theories of embodiment current in the health sciences literature. Ă“ 2011 Elsevier Ltd. All rights reserved. Introduction Understanding the development of gendered bodies is essential to an analysis of health disparities, disease prevention and treatment. Life history approaches to embodiment, including the body's relationship to sex, and gendered social milieu, require a starting point and a theory that can guide us as development proceeds; Previously, we assessed the state of knowledge about sex-related differences in the first three years of life In an article memorializing Esther Thelen's work, Spencer, Clearfield, Corbetta, Ulrich, Buchanan et al., (2006) identify four critical dynamic systems concepts A brief word about language. We try, whenever possible, to refer to group differences found in very young children as "sex-related". These differences overlap greatly between boys and girls, are variable within each group, and are not clearly a primary or secondary sex characteristic. Statistically, they correlate with natal genital sex and some believe that their early appearance means that they have a clear biological origin. On the other hand, we argue that the distinction between "biological" and "cultural" is not so clear. We use the word gender to indicate strongly held but culturally specific beliefs and practices about male and female, masculine and feminine. Both sex-related characteristics and gender can become embodied, although neither need be thought of as inborn or innate. Concept #1-a new emphasis on timing DST emphasizes that behavior, engaged in over time, influences nervous system structure and sets the stage for change. I

    Family Stressors and Resources as Social Determinants of Health among Caregivers and Young Children

    No full text
    Life course-informed theories of development suggest it is important to integrate information about positive and negative aspects of the social environment into studies of child and parental wellbeing, including both stressors that compromise health and resources that promote well-being. We recruited a sample of 169 pairs of caregivers and young children (birth to 5 years) from a community health clinic and administered survey questions to assess stressors and resources. We constructed inventories of stressors and resources and examined the relationships between these inventories and caregivers’ depressive symptoms, anxiety symptoms, and sleep problems, and young children’s medical diagnoses derived from electronic health records. Cumulative stressors and resources displayed bivariate and adjusted associations with caregivers’ depressive symptoms, anxiety symptoms, and sleep problems. For depressive and anxiety symptoms, these associations were evident in models that included stressors and resources together. Caregivers with high stressors and low resources displayed the highest levels of depressive and anxiety symptoms and sleep problems. In terms of children’s health outcomes, only modest trends were evident for developmental/mental health outcomes, but not other diagnostic categories. Future studies are needed to examine stressors and resources together in larger samples and in relation to prospectively assessed measures of child well-being

    Family Stressors and Resources as Social Determinants of Health among Caregivers and Young Children

    No full text
    Life course-informed theories of development suggest it is important to integrate information about positive and negative aspects of the social environment into studies of child and parental wellbeing, including both stressors that compromise health and resources that promote well-being. We recruited a sample of 169 pairs of caregivers and young children (birth to 5 years) from a community health clinic and administered survey questions to assess stressors and resources. We constructed inventories of stressors and resources and examined the relationships between these inventories and caregivers’ depressive symptoms, anxiety symptoms, and sleep problems, and young children’s medical diagnoses derived from electronic health records. Cumulative stressors and resources displayed bivariate and adjusted associations with caregivers’ depressive symptoms, anxiety symptoms, and sleep problems. For depressive and anxiety symptoms, these associations were evident in models that included stressors and resources together. Caregivers with high stressors and low resources displayed the highest levels of depressive and anxiety symptoms and sleep problems. In terms of children’s health outcomes, only modest trends were evident for developmental/mental health outcomes, but not other diagnostic categories. Future studies are needed to examine stressors and resources together in larger samples and in relation to prospectively assessed measures of child well-being
    corecore