Why do British Indian children have an apparent mental health advantage?

BACKGROUND: Previous studies document a mental health advantage in British Indian children, particularly for externalising problems. The causes of this advantage are unknown. METHODS: Subjects were 13,836 White children and 361 Indian children aged 5-16 years from the English subsample of the British Child and Adolescent Mental Health Surveys. The primary mental health outcome was the parent Strengths and Difficulties Questionnaire (SDQ). Mental health was also assessed using the teacher and child SDQs; diagnostic interviews with parents, teachers and children; and multi-informant clinician-rated diagnoses. Multiple child, family, school and area factors were examined as possible mediators or confounders in explaining observed ethnic differences. RESULTS: Indian children had a large advantage for externalising problems and disorders, and little or no difference for internalising problems and disorders. This was observed across all mental health outcomes, including teacher-reported and diagnostic interview measures. Detailed psychometric analyses provided no suggestion of information bias. The Indian advantage for externalising problems was partly mediated by Indian children being more likely to live in two-parent families and less likely to have academic difficulties. Yet after adjusting for these and all other covariates, the unexplained Indian advantage only reduced by about a quarter (from 1.08 to .71 parent SDQ points) and remained highly significant (p < .001). This Indian advantage was largely confined to families of low socio-economic position. CONCLUSION: The Indian mental health advantage is real and is specific to externalising problems. Family type and academic abilities mediate part of the advantage, but most is not explained by major risk factors. Likewise unexplained is the absence in Indian children of a socio-economic gradient in mental health. Further investigation of the Indian advantage may yield insights into novel ways to promote child mental health and child mental health equity in all ethnic groups

The Health Care Financing Maze for Working-Age People with Disabilities

Much of the research on health care financing for people with disabilities has focused on the Medicaid and Medicare programs. The findings of this research often highlight the inadequacies of those programs in providing appropriate services to address the special needs of people with disabilities. A focus on these large programs, however, obscures the role of other public and private insurers, as well as the role of programs that provide many additional services to this population – all of which add complexity to the system. The purpose of this paper is to describe the health care financing system as a whole, including the large public programs, other public and private insurers, and the many other programs that provide additional services. The description of the system highlights structural problems that need to be addressed in order to substantially improve the delivery of health and related services to people with disabilities. In the next section, we describe each source of health care financing for working-age people with disabilities and highlight its implications for service delivery and quality of life. In the concluding section, we describe the key structural shortcomings of the current financing system, assess the extent to which current reform efforts are addressing these shortcomings, and discuss the implications for broader efforts to reform health care financing system

The Spectral Correlation Function -- A New Tool for Analyzing Spectral-Line Maps

The "spectral correlation function" analysis we introduce in this paper is a new tool for analyzing spectral-line data cubes. Our initial tests, carried out on a suite of observed and simulated data cubes, indicate that the spectral correlation function [SCF] is likely to be a more discriminating statistic than other statistical methods normally applied. The SCF is a measure of similarity between neighboring spectra in the data cube. When the SCF is used to compare a data cube consisting of spectral-line observations of the ISM with a data cube derived from MHD simulations of molecular clouds, it can find differences that are not found by other analyses. The initial results presented here suggest that the inclusion of self-gravity in numerical simulations is critical for reproducing the correlation behavior of spectra in star-forming molecular clouds.Comment: 29 pages, including 4 figures (tar file submitted as source) See also: http://cfa-www.harvard.edu/~agoodman/scf/velocity_methods.htm

Fifty Years of Organizational Behavior from Multiple Perspectives

Many of the underlying themes in the field of organizational behavior reveal the strains between basic and applied research, qualitative and quantitative preferences, gradations of analysis, and the relative importance of research and practice

The Effect of Projection on Derived Mass-Size and Linewidth-Size Relationships

Power law mass-size and linewidth-size correlations, two of "Larson's laws," are often studied to assess the dynamical state of clumps within molecular clouds. Using the result of a hydrodynamic simulation of a molecular cloud, we investigate how geometric projection may affect the derived Larson relationships. We find that large scale structures in the column density map have similar masses and sizes to those in the 3D simulation (PPP). Smaller scale clumps in the column density map are measured to be more massive than the PPP clumps, due to the projection of all emitting gas along lines of sight. Further, due to projection effects, structures in a synthetic spectral observation (PPV) may not necessarily correlate with physical structures in the simulation. In considering the turbulent velocities only, the linewidth-size relationship in the PPV cube is appreciably different from that measured from the simulation. Including thermal pressure in the simulated linewidths imposes a minimum linewidth, which results in a better agreement in the slopes of the linewidth-size relationships, though there are still discrepancies in the offsets, as well as considerable scatter. Employing commonly used assumptions in a virial analysis, we find similarities in the computed virial parameters of the structures in the PPV and PPP cubes. However, due to the discrepancies in the linewidth- and mass- size relationships in the PPP and PPV cubes, we caution that applying a virial analysis to observed clouds may be misleading due to geometric projection effects. We speculate that consideration of physical processes beyond kinetic and gravitational pressure would be required for accurately assessing whether complex clouds, such as those with highly filamentary structure, are bound.Comment: 25 pages, including 7 Figures; Accepted for publication in Ap

Central Nervous Control of Blood Pressure in Man; Preliminary Report

Electrical activity of the brain, eye movements, arterial pressure, heart rate, and respiratory rate and depth have been recorded continuously during a night of sleep not induced by drugs in 22 healthy subjects, two hypertensive patients, and one anephric man who was awaiting renal transplantation. Sleep was associated with reduction in arterial pressure averaging 50 mm Hg systolic and 30 mm Hg diastolic. Dreams, although occasionally associated with marked elevation of blood pressure, were usually accompanied by no change or a slight fall in pressure. The dramatic paroxysmal electroencephalographic alterations termed K complexes, occurring spontaneously or after a noise in sleep of moderate depth, were followed within two or three heart beats by abrupt elevation in arterial pressure, as much as 35 mm Hg, lasting 10 to 20 seconds. Blockade with propranolol of β-adrenergic receptors, which mediate cardio-excitatory effects of sympathetic nerve discharge, did not modify the hypertension following K complexes. Cerebral activity, transmitted by sympathetic peripheral vasoconstrictor pathways, is an important regulator of blood pressure during sleep in man

The Price-Earnings Relative as an Indicator of Investment Returns

The use of the price-earnings relative indicator (PER) is examined to assess its utility in evaluating stock returns for similarly performing firms. The measure does seem to be a valid predictor of investment returns and eliminate bias between firms within the same industry