The relationship between pedometer-determined and self-reported physical activity and body composition variables in college-aged men and women

Pedometer-determined physical activity (PA) is inversely related to body composition in middle-aged adults; however, researchers have not established such a relationship in college students. OBJECTIVE AND PARTICIPANTS: In this study, the authors attempted to characterize PA and examine its relationship with body composition in undergraduate college students (N = 88). METHODS: The authors measured the BC of 44 women (M age = 21 +/- 1 year, M body mass index [BMI] = 23.9 +/- 4 kg/m2) and 44 men (M age = 22 +/- 1 year, BMI = 26.9 +/- 0.9 kg/m2); participants also wore a pedometer for 7 days and completed a PA questionnaire. RESULTS: Men averaged significantly more steps/day (10,027 +/- 3,535) than did women (8,610 +/- 2,252). For women only, the authors observed significant correlations between steps/day and body composition variables. Men reported engaging in vigorous PA significantly more often than did women. CONCLUSIONS: These findings indicate that men engage in PA more often but that PA is related to body composition only in women. In addition, there is better agreement between pedometer-measured and self-reported PA in college-aged men than women.     

Perceived continuing education needs and job relevance of health education competencies among health education and promotion practitioners in college health settings

Objective and Participants: The author conducted this study to determine college health education and promotion practitioners' perceived continuing education needs and perceived job relevance in relation to national health education responsibilities and competencies. Methods: In Spring 2006, the author invited college health education and promotion professionals to participate in an online survey, using 3 listservs. Of 276 individuals visiting the Web site, 141 participants completed the survey (51%). Participants rated their perceived training needs and job relevance for the 35 National Commission for Health Education Credentialing (NCHEC) competencies as well as preferred training formats. Results: Participants identified the following competencies as those in which they needed additional training: designing data-collection instruments, securing fiscal resources, interpreting evaluation and research results, carrying out evaluation and research plans, and developing plans for evaluation and research. They identified the following competencies as being the most relevant to their jobs: demonstrating a variety of skills in delivering strategies, interventions, and programs; using a variety of methods to implement strategies, interventions, and programs; initiating a plan of action; and using health-related information resources. The most preferred methods of obtaining additional continuing education were attending the American College Health Association annual meeting (67%) and completing home self-study print materials (67%). Conclusions: Collegiate professional organizations should offer a variety of continuing education opportunities centering on NCHEC competencies, specifically those perceived as needed by study participants.     

Human Resource Development in Asia – Thriving on dynamism & change: Reflections from 2006 Asian HRD conference

This article discusses the experiences of the conference management team and the host (Universiti Putra Malaysia -UPM) of the Fifth Asian Conference of the Academy of Human Resource Development, held in Putrajaya, Malaysia from 2 to 5 December 2006. In reviewing the conference, the following sub-topics are used for organizing the contents of the article: HRD in Malaysia; conference theme & overview; participations/country representations and paper streams; keynote addresses; conference assessment; and conclusions. At the end, brief perspectives of the next Asian HRD conference to be held in China are also provided.     

Nonparametric Estimation in Random Coefficients Binary Choice Models

This paper considers random coefficients binary choice models. The main goal is to estimate the density of the random coefficients nonparametrically. This is an ill‐posed inverse problem characterized by an integral transform. A new density estimator for the random coefficients is developed, utilizing Fourier–Laplace series on spheres. This approach offers a clear insight on the identification problem. More importantly, it leads to a closed form estimator formula that yields a simple plug‐in procedure requiring no numerical optimization. The new estimator, therefore, is easy to implement in empirical applications, while being flexible about the treatment of unobserved heterogeneity. Extensions including treatments of nonrandom coefficients and models with endogeneity are discussed.     

Modified mantel-haenszel procedures for matched pairs

In the prospective study of a finely stratified population, one individual from each stratum is chosen at random for the “treatment” group and one for the “non-treatment” group. For each individual the probability of failure is a logistic function of parameters designating the stratum, the treatment and a covariate. Uniformly most powerful unbiased tests for the treatment effect are given. These tests are generally cumbersome but, if the covariate is dichotomous, the tests and confidence intervals are simple. Readily usable (but non-optimal) tests are also proposed for poly-tomous covariates and factorial designs. These are then adapted to retrospective studies (in which one “success” and one “failure” per stratum are sampled). Tests for retrospective studies with a continuous “treatment” score are also proposed.     

Partitioning Pearson's Chi-Squared Statistic for a Completely Ordered Three-Way Contingency Table

The paper presents a partition of the Pearson chi-squared statistic for triply ordered three-way contingency tables. The partition invokes orthogonal polynomials and identifies three-way association terms as well as each combination of two-way associations. This partition provides information about the structure of each variable by identifying important bivariate and trivariate associations in terms of location (linear), dispersion (quadratic) and higher order components. The significance of each term in the partition, and each association within each term can also be determined.
The paper compares the chi-squared partition with the log-linear models of Agresti (1994) for multi-way contingency tables with ordinal categories, by generalizing the model proposed by Haberman (1974).     

A Trichloroethylene Risk Assessment Using a Monte Carlo Analysis of Parameter Uncertainty in Conjunction with Physiologically-Based Pharmacokinetic Modeling

A Monte Carlo simulation is incorporated into a risk assessment for trichloroethylene (TCE) using physiologically-based pharmacokinetic (PBPK) modeling coupled with the linearized multistage model to derive human carcinogenic risk extrapolations. The Monte Carlo technique incorporates physiological parameter variability to produce a statistically derived range of risk estimates which quantifies specific uncertainties associated with PBPK risk assessment approaches. Both inhalation and ingestion exposure routes are addressed. Simulated exposure scenarios were consistent with those used by the Environmental Protection Agency (EPA) in their TCE risk assessment. Mean values of physiological parameters were gathered from the literature for both mice (carcinogenic bioassay subjects) and for humans. Realistic physiological value distributions were assumed using existing data on variability. Mouse cancer bioassay data were correlated to total TCE metabolized and area-under-the-curve (blood concentration) trichloroacetic acid (TCA) as determined by a mouse PBPK model. These internal dose metrics were used in a linearized multistage model analysis to determine dose metric values corresponding to 10^-6 lifetime excess cancer risk. Using a human PBPK model, these metabolized doses were then extrapolated to equivalent human exposures (inhalation and ingestion). The Monte Carlo iterations with varying mouse and human physiological parameters produced a range of human exposure concentrations producing a 10^-6 risk.     

Probability Size Matters: The Effect of Foreground-Only versus Foreground+Background Graphs on Risk Aversion Diminishes with Larger Probabilities

Graphs are increasingly recommended for improving decision-making and promoting risk-avoidant behaviors. Graphs that depict only the number of people affected by a risk (“foreground-only” displays) tend to increase perceived risk and risk aversion (e.g., willingness to get vaccinated), as compared to graphs that also depict the number of people at risk for harm (“foreground+background” displays). However, previous research examining these “foreground-only effects” has focused on relatively low-probability risks (<10%), limiting generalizability to communications about larger risks. In two experiments, we systematically investigated the moderating role of probability size on foreground-only effects, using a wide range of probability sizes (from 0.1% to 40%). Additionally, we examined the moderating role of the size of the risk reduction, that is, the extent to which a protective behavior reduces the risk. Across both experiments, foreground-only effects on perceived risk and risk aversion were weaker for larger probabilities. Experiment 2 also revealed that foreground-only effects were weaker for smaller risk reductions, while foreground-only displays decreased understanding of absolute risk magnitudes independently of probability size. These findings suggest that the greater effectiveness of foreground-only versus foreground+background displays for increasing perceived risk and risk aversion diminishes with larger probability sizes and smaller risk reductions. Moreover, if the goal is to promote understanding of absolute risk magnitudes, foreground+background displays should be used rather than foreground-only displays regardless of probability size. Our findings also help to refine and extend existing theoretical accounts of foreground-only effects to situations involving a wide range of probability sizes.     

Managing demographic change and diversity in organizations: how feedback from coworkers moderates the relationship between age and innovative work behavior

In a field study of 211 employees of a midsized German high-tech company, useful feedback from coworkers was examined as a moderator of the relationship between age and supervisor ratings of radical innovative work behavior. When employees perceived higher levels of useful feedback from their coworkers, the relationship between age and radical innovative work behavior followed an inverted U-shape. This inverted U-shaped relationship was decreasingly manifested as the level of perceived useful feedback from coworkers dropped. Given demographic change and the aging of the workforce of many organizations, this finding broadens the still fragmentary knowledge of the conditions under which aging is likely to have more or less positive effects on innovative work behavior. The authors discuss the theoretical and practical implications of these results on both the individual and the team level of analysis.