Does Neighborhood Social Capital Buffer the Effects of Maternal Depression on Adolescent Behavior Problems?

Neighborhood characteristics have been shown to impact child well-being. However, it remains unclear how these factors combine with family characteristics to influence child development. The current study helps develop that understanding by investigating how neighborhoods directly impact child and adolescent behavior problems as well as moderate the influence of family characteristics on behavior. Using multilevel linear models, we examined the relationship among neighborhood conditions (poverty and social capital) and maternal depression on child and adolescent behavior problems. The sample included 741 children, age 5–11, and 564 adolescents, age 12–17. Outcomes were internalizing (e.g. anxious/depressed) and externalizing (e.g. aggressive/hyperactive) behavior problems. Neighborhood poverty and maternal depression were both positively associated with behavior problems for children and adolescents. However, while neighborhood social capital was not directly associated with behavior problems, the interaction of social capital and maternal depression was significantly related to behavior problems for adolescents. This interaction showed that living in neighborhoods with higher levels of social capital attenuated the relationship between maternal depression and adolescent behavior problems and confirmed the expectation that raising healthy well-adjusted children depends not only on the family, but also the context in which the family lives.     

I. The loving parent meets the selfish gene

In a recent Inquiry article Louis Pascal argues that the problem of massive starvation in the modern world is the result of a genetically‐based human propensity to produce as many offspring as possible, regardless of ecological conditions. In this paper biological and anthropological objections to Pascal's thesis are discussed as well as the conclusions he draws from it. It is suggested that natural selection has produced humans who are flexible in their reproductive behavior in order to cope with rapidly changing environments. The implications of both arguments for the population movement and the attempt to eliminate starvation are discussed.     

Psychometric Examination of the Brief Multidimensional Measure of Religiousness/Spirituality Among College Students

Resurgent interest in the relations between religiousness/spirituality (R/S) and health is evident in the scientific literature but much of the research fails to capture the proposed multidimensional nature of R/S. This problematic situation is compounded by the existence of a plethora of measures mostly lacking substantial empirical or even theoretical support. The Brief Multidimensional Measure of Religiousness/Spirituality (BMMRS) was developed to address measurement confusion by providing a standard instrument for researchers investigating the dimensions of R/S relevant to health. Psychometric properties and factor structure of the BMMRS were investigated in a sample of 374 college students. Exploratory and confirmatory factor analyses suggested a seven-factor structure for the BMMRS. Preliminary construct validity for the instrument was demonstrated. These findings generally support those of previous studies and suggest that the modified BMMRS is a viable multifactor measure of R/S for use with young adults.     

The gist of the abnormal: Above-chance medical decision making in the blink of an eye

Very fast extraction of global structural and statistical regularities allows us to access the “gist”—the basic meaning—of real-world images in as little as 20 ms. Gist processing is central to efficient assessment and orienting in complex environments. This ability is probably based on our extensive experience with the regularities of the natural world. If that is so, would experts develop an ability to extract the gist from the artificial stimuli (e.g., medical images) with which they have extensive visual experience? Anecdotally, experts report some ability to categorize images as normal or abnormal before actually finding an abnormality. We tested the reality of this perception in two expert populations: radiologists and cytologists. Observers viewed brief (250- to 2,000-ms) presentations of medical images. The presence of abnormality was randomized across trials. The task was to rate the abnormality of an image on a 0–100 analog scale and then to attempt to localize that abnormality on a subsequent screen showing only the outline of the image. Both groups of experts had above-chance performance for detecting subtle abnormalities at all stimulus durations (cytologists d' ≈ 1.2 and radiologists d' ≈ 1), whereas the nonexpert control groups did not differ from chance (d' ≈ 0.23, d' ≈ 0.25). Furthermore, the experts’ ability to localize these abnormalities was at chance levels, suggesting that categorization was based on a global signal, and not on fortuitous attention to a localized target. It is possible that this global signal could be exploited to improve clinical performance.     

Why does vantage point affect boundary extension?

To determine if layout affects boundary extension (BE; false memory beyond view boundaries; Intraub & Richardson, 1989), 12 single-object scenes were photographed from three vantage points: central (0°), shifted rightward (45°), and shifted leftward (45°). Size and position of main objects were held constant. Pictures were presented for 15 s each and were repeated at test with their boundaries: (a) displaced inward or outward (Experiment 1: N=120), or (b) identical to the stimulus views (Experiment 2: N=72). When participants adjusted test boundaries to match memory, BE always occurred, but tended to be smaller for 45° views. We propose this reflects the fact that more of the 3-D scene is visible in the 45° views. This suggests that scene representation reflects the 3-D world conveyed by the global characteristics of layout, rather than the 2-D distance between the main object and the boundaries of a picture.