Clamped Corticosterone (B) Reveals the Effect of Endogenous B on Both Facilitated Responsivity to Acute Restraint and Metabolic Responses to Chronic Stress

To determine the effects of both corticosterone (B) and chronic stressors on acute ACTH responses to restraint, young male rats were exposed to streptozotocin-induced diabetes, cold (5-7 degreesC) or intracerebroventricular (icv) neuropeptide Y (NPY) for 5 d and then exposed to restraint within 2 h after lights on. Two groups of rats were studied: intact and adrenalectomized replaced with B pellets that maintained plasma B in the normal mean 24-h range of intact rats. In addition to ACTH and B responses to restraint on d 5, body weight, food intake, fat depots, glucose and other hormones were measured to determine the role of stress-induced elevations in B on energy balance. ACTH responses to restraint were normal in intact rats subjected to diabetes or cold. By contrast, there was no ACTH or B response to restraint in NPY-infused intact rats. All 3 groups of chronically stimulated adrenalectomized rats with clamped B had facilitated ACTH responses to restraint compared to their treatment controls. Overall food intake increased in all groups of stressed rats; however, augmented intake occurred only during the light in intact rats and equally in the light and dark in B-clamped rats. White adipose depot weights were decreased by both diabetes and cold and increased by NPY in intact rats; the decreases with cold and increases with NPY were both blunted and changes in fat stores were not significant in adrenalectomized, B-clamped rats. We conclude that: 1. diabetes- and cold-induced facilitation of restraint-induced afferent input to hypothalamic control of the hypothalamo-pituitary-adrenal (HPA) axis is opposed in intact rats by the elevated feedback signal of B secretion; 2. NPY does not induce facilitation of afferent stress pathways; 3. chronic stimulation of the HPA axis induces acute hyperresponsiveness of hypothalamic neurons to restraint provided that the afferent input of this acute stimulus is not prevented by B feedback; 4. stimulus-induced elevations in B secretion result in day-time feeding; 5. insensitivity of both caloric efficiency and white fat stores to chronic stress in adrenalectomized, B-clamped rats results from loss of normally variable B levels.     

Primary Prevention: Beginning at the Beginning

The growth and development of infants and children is examined from the perspective of parenting. White presents research evidence on early childhood development to substantiate his claim that educators and mental health specialists ignore these findings in their intervention approaches. The author sees the family as the first educational delivery system for the child, and presents concrete suggestions to aid educators and mental health specialists in their role. White concludes by favoring an educational approach to parenting over traditional social service work.     

Pass It On: Errors in Direct Quotes in a Sample of Scholarly Journal Articles

Concern has been expressed in the literature over inaccuracies both in reference listings and direct quotes. This study examined one volume year of each of four journals in the social sciences to compare 1,278 quotes against the original sources. Of this total, 89 could not be found and 519 (43.7% of the remaining quotes) had one or more inaccuracies, ranging from trivial punctuation differences to errors that significantly changed the content meaning. Implications as well as suggestions for editors and writers for reducing errors are discussed.     

LOG-LINEAR MODELING IN PERSONNEL RESEARCH

Log-linear modeling is a discrete multivariate statistical technique that is designed specifically for analyzing data when both the independent and dependent variables are categorical or nominal. The purpose of this paper is to demonstrate the utility of this technique in personnel research. The paper (a) discusses behavioral areas of application, (b) compares log-linear modeling with chi-square and regression analysis, (c) presents the basic principles and hypotheses of log-linear modeling, and (d) shows how the technique is used.