Children's biobehavioral reactivity to challenge predicts DNA methylation in adolescence and emerging adulthood

A growing body of research has documented associations between adverse childhood environments and DNA methylation, highlighting epigenetic processes as potential mechanisms through which early external contexts influence health across the life course. The present study tested a complementary hypothesis: indicators of children's early internal, biological, and behavioral responses to stressful challenges may also be linked to stable patterns of DNA methylation later in life. Children's autonomic nervous system reactivity, temperament, and mental health symptoms were prospectively assessed from infancy through early childhood, and principal components analysis (PCA) was applied to derive composites of biological and behavioral reactivity. Buccal epithelial cells were collected from participants at 15 and 18 years of age. Findings revealed an association between early life biobehavioral inhibition/disinhibition and DNA methylation across many genes. Notably, reactive, inhibited children were found to have decreased DNA methylation of the DLX5 and IGF2 genes at both time points, as compared to non‐reactive, disinhibited children. Results of the present study are provisional but suggest that the gene's profile of DNA methylation may constitute a biomarker of normative or potentially pathological differences in reactivity. Overall, findings provide a foundation for future research to explore relations among epigenetic processes and differences in both individual‐level biobehavioral risk and qualities of the early, external childhood environment.     

Spirituality as a 1‐Year Prospective Predictor of Violence Perpetration and Drug Use Among Youth at Continuation High Schools1

This paper presents the results of a 1‐year prospective study of violence perpetration, drug use, and spirituality among continuation high school youth. Spirituality was found to predict later violence perpetration and drug use as a single predictor. However, it failed to predict violence or drug use in models that also entered 6 other variables; particularly, baseline levels of violence and drug use, and morality of drug use. It is possible that current measures of spirituality predict later violence perpetration and drug use as a result of tapping attitudes about morality. Controlling for baseline spirituality, male gender, low morality of drug use, violence perpetration, and drug use predicted later spirituality. Spirituality appears to be affected by drug use and violence, but not the converse. The protective influence of spirituality is not supported, at least as currently measured.     

Intervention in the Library: The Effect of Increased Responsibility on Bystanders' Willingness To Prevent a Theft

Two field experiments tested the hypothesis that a bystander's increased responsibility to act increases the likelihood of his helping the victim of an emergency. In Experiment 1, an individual asked or did not ask the bystander to protect his property in his absence. In Experiment 2, the presence/absence of an unattentive confederate was varied orthogonally to the request/no request manipulation. The results of both experiments indicated that bystanders who received a prior request for protective assistance felt more personally responsible for protecting the individual's property and were more likely to prevent a theft of that property than were bystanders who received no request. The presence of a confederate in Experiment 2 decreased bystanders' felt responsibility and their willingness to intervene on the victim's behalf. The results were interpreted as support for the "felt responsibility" proposition of the Latané and Darley (1970) model of bystander intervention.     

Adolescent Nonsmokers,Triers, and Regular Smokers' Estimates of Cigarette Smoking Prevalence: When Do Overestimations Occur and by Whom?1

The present study tested three assumptions often made by smoking prevention researchers and practitioners regarding the nature and causes of smoking prevalence estimates. Specifically, it is often assumed that (a) adolescent prevalence estimates of all levels of smoking are inflated, (b) youths at different stages of smoking onset all overestimate smoking prevalence, and (c) the predictors of these estimates are the same for youths at different stages of smoking onset. Measures of smoking behavior based on self-reports using a bogus pipeline procedure, estimates of cigarette smoking prevalence (trying behavior and weekly use), and reports of smoking in significant others were obtained by the same youths when they were in eighth and ninth grades. Results indicated that, taken over all youths, estimates of trying cigarettes were accurate, whereas estimates of weekly use were inflated. When responders were defined by their stage of smoking onset, either as a nonsmoker, trier, or regular smoker, analyses revealed that triers were accurate regarding prevalence estimates of trying, whereas non-smokers made gross underestimations and regular smokers made overestimations of trying. All groups of youths overestimated prevalence of weekly smoking. Analyses of variance revealed that both youths' smoking status and interpersonal smoking environment additively predicted prevalence estimates, and estimates of smoking prevalence were relatively higher in youths who began to smoke, or increased their levels of smoking, within the next year. Thus, previous assumptions were partially confirmed. Future research and prevention programming should focus more on regular smoking as the focus of normative smoking distortion effects and correction efforts.     

A mathematical approach for establishing treatment priorities among patients

Medical decision making often utilizes subjective observations to arrive at concrete judgments. The decisions frequently affect who receives scarce medical treatments and, thus, who lives or dies. In this paper, a model health status index is described. It is specific for the problem of choosing patients for hemodialysis or transplantation. Such a health status index may be designed for any medical decision involving such issues as drug treatment priorities, identification of salvageable patients, and selection of patients for scarce medical treatment. This index (1) incorporates a physician's own medical criteria and values, (2) can be modified as the data base improves, (3) assures consistency from decision to decision, and (4) can be developed and used without the help of a mathematician or computer.     

The Place of Counseling in the Preparation of Student Personnel Workers

The nature of preparation of student personnel workers is currently under discussion. Because of the variety of settings within higher education in which student personnel workers function and the specialized nature of their functions, their preparation should be different from counseling psychologists. Consideration is given to the possible conflicting nature of the student personnel worker's commitment to the institution and his commitment to individual students. The inadequacy of a philosophy of counseling based on radical individualism is discussed. An attempt is made to formulate a consistent and integrated rationale for student personnel work. The position is taken that education as a counselor, based upon an adequate philosophy of individual development within lines that will benefit the whole society, is crucial to adequate functioning as an effective student personnel worker.     

Psychosocial Predictors of Young Adolescent Cigarette Smoking: A Sixteen-Month,Three-Wave Longitudinal Study1

Understanding the psychosocial factors that predict cigarette smoking onset in young people is of crucial importance for prevention efforts. The present study examined prospective psychosocial predictors of smoking in a three-wave longitudinal data set. Similar in design to an earlier study by Chassin, Presson, Sherman, Corty, and Olshavsky (1984), the present study replicated their work, and extended it by (a) using composite predictors derived from exploratory factor analysis, (b) including prior behavior as a predictor, (c) using a design extended over three waves of data collection, and (d) using a sample composed primarily of urban teenagers. Subjects were 3295 7th-grade students at the beginning of the study. The subjects completed a questionnaire containing items tapping cigarette smoking behavior and psychosocial items that have previously been shown to predict smoking behavior. Forty-one psychosocial items on the Wave 1 (initial) questionnaire were factor analyzed, and five factors were retained. Subscale scores were constructed based on these factors and were used as predictors. Regression analyses were performed using the subscales and pretest smoking frequency to predict a continuous measure of smoking, and discriminant analyses were performed to predict transitions between qualitative levels of smoking. Prior smoking behavior was the most important predictor of future smoking. Four of the subscales, Social Disapproval, Risk Taking/Rebelliousness, Perceived Smoking Prevalence, and Motivation to Comply, were significant predictors. One subscale, Physical Consequences from Smoking, was not predictive of smoking in any of the analyses. The effect sizes cross-validated well. It is suggested that an integrative model of smoking initiation developed by Flay, d'Avernas, Best, Kersell, and Ryan (1983) best summarizes the results of the present study.