This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction of functions of the observed proportions which are directed at the extent to which the observers agree among themselves and the construction of test statistics for hypotheses involving these functions. Tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interobserver agreement are developed as generalized kappa-type statistics. These procedures are illustrated with a clinical diagnosis example from the epidemiological literature.

https://www.jstor.org/stable/pdfplus/2529310.pdf

The measurement of observer agreement for categorical data

background The influence of excess body weight on the risk of death from cancer has not been fully characterized. methods In a prospectively studied population of more than 900,000 U.S. adults (404,576 men and 495,477 women) who were free of cancer at enrollment in 1982, there were 57,145 deaths from cancer during 16 years of follow-up. We examined the relation in men and women between the body-mass index in 1982 and the risk of death from all cancers and from cancers at individual sites, while controlling for other risk factors in multivariate proportional-hazards models. We calculated the proportion of all deaths from cancer that was attributable to overweight and obesity in the U.S. population on the basis of risk estimates from the current study and national estimates of the prevalence of overweight and obesity in the U.S. adult population. results The heaviest members of this cohort (those with a body-mass index [the weight in kilograms divided by the square of the height in meters] of at least 40) had death rates from all cancers combined that were 52 percent higher (for men) and 62 percent higher (for women) than the rates in men and women of normal weight. For men, the relative risk of death was 1.52 (95 percent confidence interval, 1.13 to 2.05); for women, the relative risk was 1.62 (95 percent confidence interval, 1.40 to 1.87). In both men and women, body-mass index was also significantly associated with higher rates of death due to cancer of the esophagus, colon and rectum, liver, gallbladder, pancreas, and kidney; the same was true for death due to non-Hodgkin’s lymphoma and multiple myeloma. Significant trends of increasing risk with higher body-mass-index values were observed for death from cancers of the stomach and prostate in men and for death from cancers of the breast, uterus, cervix, and ovary in women. On the basis of associations observed in this study, we estimate that current patterns of overweight and obesity in the United States could account for 14 percent of all deaths from cancer in men and 20 percent of those in women. conclusions Increased body weight was associated with increased death rates for all cancers combined and for cancers at multiple specific sites.

/pdf/overweight-obesity-and-mortality-from-cancer-in-a-3whc0l70ow.pdf

Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults.

The international index of erectile function (IIEF): a multidimensional scale for assessment of erectile dysfunction

background The current combat operations in Iraq and Afghanistan have involved U.S. military personnel in major ground combat and hazardous security duty. Studies are needed to systematically assess the mental health of members of the armed services who have participated in these operations and to inform policy with regard to the optimal delivery of mental health care to returning veterans. methods We studied members of four U.S. combat infantry units (three Army units and one Marine Corps unit) using an anonymous survey that was administered to the subjects either before their deployment to Iraq (n=2530) or three to four months after their return from combat duty in Iraq or Afghanistan (n=3671). The outcomes included major depression, generalized anxiety, and post-traumatic stress disorder (PTSD), which were evaluated on the basis of standardized, self-administered screening instruments. results Exposure to combat was significantly greater among those who were deployed to Iraq than among those deployed to Afghanistan. The percentage of study subjects whose responses met the screening criteria for major depression, generalized anxiety, or PTSD was significantly higher after duty in Iraq (15.6 to 17.1 percent) than after duty in Afghanistan (11.2 percent) or before deployment to Iraq (9.3 percent); the largest difference was in the rate of PTSD. Of those whose responses were positive for a mental disorder, only 23 to 40 percent sought mental health care. Those whose responses were positive for a mental disorder were twice as likely as those whose responses were negative to report concern about possible stigmatization and other barriers to seeking mental health care. conclusions This study provides an initial look at the mental health of members of the Army and the Marine Corps who were involved in combat operations in Iraq and Afghanistan. Our findings indicate that among the study groups there was a significant risk of mental health problems and that the subjects reported important barriers to receiving mental health services, particularly the perception of stigma among those most in need of such care.

/pdf/combat-duty-in-iraq-and-afghanistan-mental-health-problems-1pcdw24ry9.pdf

Combat duty in Iraq and Afghanistan, mental health problems, and barriers to care.

Results: Although 3-month prevalence of any disorder averaged 13.3% (95% confidence interval [CI], 11.7%15.0%), during the study period 36.7% of participants (31% of girls and 42% of boys) had at least 1 psychiatric disorder. Some disorders (social anxiety, panic, depression, and substance abuse) increased in prevalence, whereas others, including separation anxiety disorder and attention-deficit/hyperactivity disorder (ADHD), decreased. Lagged analyses showed that children with a history of psychiatric disorder were 3 times more likely than those with no previous disorder to have a diagnosis at any subsequent wave (odds ratio, 3.7; 95% CI, 2.94.9; P.001). Risk from a previous diagnosis was high among both girls and boys, but it was significantly higher among girls. Continuity of the same disorder (homotypic) was significant for all disorders except specific phobias. Continuity from one diagnosis to another (heterotypic) was significant from depression to anxiety and anxiety to depression, from ADHD to oppositional defiant disorder, and from anxiety and conduct disorder to substance abuse. Almost all the heterotypic continuity was seen in girls. Conclusions: The risk of having at least 1 psychiatric disorder by age 16 years is much higher than point estimates would suggest. Concurrent comorbidity and homotypic and heterotypic continuity are more marked in girls than in boys.

https://jamanetwork.com/journals/jamapsychiatry/articlepdf/207725/YOA20769.pdf

Prevalence and Development of Psychiatric Disorders in Childhood and Adolescence

Key Issues in Epidemiologic Research: An Overview. OBJECTIVES AND METHODS OR EPIDEMIOLOGIC RESEARCH. Fundamentals of Epidemiologic Research. Types of Epidemiologic Research. Design Options in Observational Studies. Typology of Observational Study Designs. Measures of Disease Frequency: Incidence. Other Measures of Disease Frequency. Measures of Association. Measures of Potential Impact and Summary of the Measures. VALIDITY OF EPIDEMIOLOGIC RESEARCH. Validity: General Considerations. Selection Bias. Information Bias. Confounding. Confounding Involving Several Risk Factors. PRINCIPLES AND PROCEDURES OF EPIDEMIOLOGIC ANALYSIS. Statistical Inferences About Effect Measures: Simple Analysis. Overview of Options for Control of Extraneous Factors. Stratified Analysis. Matching in Epidemiologic Studies. Interaction, Effect Modification, and Synergism. Modeling: Theoretical Considerations. Modeling: Analysis Strategy. Applications of Modeling with No Interaction. Applications of Logistic Regression with Interaction, Using Unconditional ML Estimation. Applications of Modeling: Conditional Likelihood Estimation. Appendices. Index.

Epidemiologic Research: Principles and Quantitative Methods.

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Epidemiologic Research: Principles and Quantitative Methods.