John Cairney

Bio: John Cairney is an academic researcher from University of Queensland. The author has contributed to research in topics: Population & Mental health. The author has an hindex of 69, co-authored 415 publications receiving 26217 citations. Previous affiliations of John Cairney include University of Western Ontario & McMaster University.

Health Measurement Scales: A Practical Guide to Their Development and Use

Abstract: 1. Introduction 2. Basic concepts 3. Devising the items 4. Scaling responses 5. Selecting the items 6. Biases in responding 7. From items to scales 8. Reliability 9. Generalizability theory 10. Validity 11. Measuring change 12. Item response theory 13. Methods of administration 14. Ethical considerations 15. Reporting test results Appendices

Stress, social support and depression in single and married mothers.

Abstract: Background: This study examined the effect of stress and social support on the relationship between single-parent status and depression. Method: A secondary data analysis of the 1994–95 National Population Health Survey was conducted. Single and married mothers who participated in the survey were derived from the general sample (N = 2,921). Logistic regression techniques were used to assess the mediating and moderating effects of stress and social support on the relationship between family structure and depression. Results: Bivariate analyses showed that, compared to married mothers, single mothers were more likely to have suffered an episode of depression (12-month prevalence), to report higher levels of chronic stress, more recent life events and a greater number of childhood adversities. Single mothers also reported lower levels of perceived social support, social involvement and frequency of contact with friends and family than married mothers. The results of the multivariate analyses showed that, together, stress and social support account for almost 40% of the relationship between single- parent status and depression. We also found a conditional effect of stress on depression by family structure. Life events were more strongly related to depression in married than in single mothers. Conclusions: A substantial part of the association between single-parent status and depression can be accounted for by differences in exposure to stress and social support.Our results suggest that it is important to examine multiple sources of stress, as exposure to both distal and proximal stressors were higher among single mothers. Limitations and directions for future research are discussed.

Diversity and ecology of soil fungal communities: increased understanding through the application of molecular techniques

Abstract: Fungi fulfil a range of important ecological functions, yet current understanding of fungal biodiversity in soil is limited. Direct DNA extraction from soil, coupled with polymerase chain reaction amplification and community profiling techniques, has proved successful in investigations of bacterial ecology and shows great promise for elucidating the taxonomic and functional characteristics of soil fungal communities. These community profiling techniques include denaturing gradient gel electrophoresis (DGGE), temperature gradient gel electrophoresis (TGGE), single-strand conformation polymorphism (SSCP), terminal restriction fragment length polymorphism (T-RFLP), amplified rDNA restriction analysis (ARDRA), amplified ribosomal intergenic spacer analysis (ARISA) and cloning, and are generally coupled with DNA sequencing. The techniques and their potential limitations are discussed, along with recent advances that have been made possible through their application in soil fungal ecology. It is unlikely that a single approach will be universally applicable for assessing fungal diversity in all soils or circumstances. However, judicious selection of the methodology, keeping the experimental aims in mind, and the exploitation of emerging technologies will undoubtedly increase our understanding of soil fungal communities in the future.

Emergence of Gender Differences in Depression During Adolescence: National Panel Results From Three Countries

Abstract: Objective: Although the gender gap in depression among adults is well established, the age at which this phenomenon appears during adolescence is less clear. To address this, the authors present a cross-national examination of the emergence of the gender gap in depression during adolescence using national longitudinal panel data from Canada, Great Britain, and the United States. Method: The two-wave, 1994-1996 Canadian National Population Health Survey uses a diagnostic measure across a 24-month interval, providing 12-month prevalence rates of major depressive disorder. The British Youth Panel measures depressive symptomatology across five annual waves beginning in 1995. The two-wave, 1995-1996 National Longitudinal Study of Adolescent Health uses a measure of depressive symptomatology across a 12-month interval. Results: Females have significantly higher rates of depression for each sample overall. When samples are decomposed by age, the gender gap in depression consistently emerges by age 14 across all three national samples, irrespective of the measure used or whether categorical cutoffs or untransformed scale scores are used to assess depressive symptomatology. Conclusions: There is a consistent pattern in the onset of the gender gap in depression at age 14 across all three countries and measures. This consistency provides important etiologic clues concerning underlying causes of depression and identifies at what age diagnosis, treatment, and intervention strategies should be directed.

What's under the ROC? An Introduction to Receiver Operating Characteristics Curves

Abstract: It is often necessary to dichotomize a continuous scale to separate respondents into normal and abnormal groups. However, because the distributions of the scores in these 2 groups most often overlap, any cut point that is chosen will result in 2 types of errors: false negatives (that is, abnormal cases judged to be normal) and false positives (that is, normal cases placed in the abnormal group). Changing the cut point will alter the numbers of erroneous judgments but will not eliminate the problem. A technique called receiver operating characteristic (ROC) curves allows us to determine the ability of a test to discriminate between groups, to choose the optimal cut point, and to compare the performance of 2 or more tests. We discuss how to calculate and compare ROC curves and the factors that must be considered in choosing an optimal cut point.

Using Multivariate Statistics

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pROC: an open-source package for R and S+ to analyze and compare ROC curves

Abstract: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.