Characteristics of men and women who complete or exit from an on‐line internet sexuality questionnaire: A study of instrument dropout biases

This study compared respondents who completed an Internet sexuality questionnaire and those who dropped out before completion. The study was in Swedish and comprised 3,614 respondents over a 2‐week period (53% males, 47% females). There were significant differences between males, of whom 51% dropped out before completion of the 175‐item questionnaire, and females, of whom 43% dropped out. Dropout in both genders followed a curve of negative acceleration. The data suggest that dropout is likely to be significant and gender and demographically biased, and to occur significantly earlier for men than for women. Geography, education, sexual orientation, age, relationship status, living arrangements, and Internet connection speed were related to dropout for men, while only relationship status and living arrangements, which were in the opposite direction from men, were related to dropout in women.     

The Advantages and Limitations of Seeking Sex Online: A Comparison of Reasons Given for Online and Offline Sexual Liaisons by Men Who Have Sex With Men

Australian young adults reported how often they wanted to use condoms in both romantic (n = 667) and casual relationship (n = 152) contexts and how often they thought their partners wanted to use condoms. Young adults wanted to use condoms more often than they perceived their partners to in both casual and romantic relationship contexts. Gender interactions showed that this pattern was especially strong among young women. Women seemed to underestimate the frequency at which their male partners wanted to use condoms. Furthermore, both the participants' condom use desires and perceptions of their partners' condom use desires predicted condom use behavior. Results suggest that gendered expectations may play a part in how often individuals perceive their partners to want to use condoms, which, in effect, may determine condom use behavior.     

Linearity of the electromechanical penile plethysmograph's output at large expansions

Despite the widespread use of the Barlow‐type electromechanical plethysmograph for monitoring changes in penile circumference, doubts have arisen about its sensitivity at large expansions. This study investigated the linearity of both a used and unused gauge over a wide range of standardized expansions. For both gauges, the relationship between electrical output and physical expansion was almost linear. A logarithmic 10 transformation on the physical expansion data did not for either gauge achieve perfect linearity. Contrary to suggestions in the literature, therefore, such a transformation is not required when using this gauge.     

Sexual Decision Making for the “Better Than Average” College Student

Abstract

Objectives: To examine the impact of downward social comparison and the “known partner is a safe partner” heuristic on college students’ sexual decisions. Participants: One hundred-eighty heterosexual or bisexual undergraduate college students. Methods: Participants read dating vignettes that varied on perspective and familiarity and then rated the likelihood the couple would engage in sexual intercourse and use a condom. Results: There were no differences in rated likelihood based on familiarity, suggesting that the students did not view the 2 partner types as significantly different. Students rated the likelihood of sexual intercourse lower and condom use higher when the vignette was presented from the second person perspective. Conclusions: The students’ use of downward social comparison is consistent with the “better than average effect,” suggesting that the students perceive their own behavior as safe. The implication is that safer sex messages might be most effective if they focus on what students will gain by practicing safer sex behaviors, not just avoidance of a risk behavior.     

Multidimensional Racial Inequality in the United States

This paper measures racial inequalities in the US using a multidimensional ‘wellbeing’ approach that simultaneously considers the distributions of income, health and education. The primary objective is to examine trends in US wellbeing inequality with an emphasis on changes in racial composition. Data is taken from 1990 to 2007 and we observe increases in income inequality, a decline in education inequality and unchanged health inequality over the period. Taken together, these results show a slight increase in the dispersion in multidimensional wellbeing. Stratifying by racial groups shows that this increase is due to widening intra-racial inequalities while inter-racial differences remained unchanged. The method is also used to evaluate wellbeing across groups and we estimate black wellbeing to average around 76 % of whites, while persons from other races average approximately 93 %. Some other changes in composition occur through time and the results are shown to be robust to a number of changes in parametric weightings.     

Education and the Gender Gaps in Health and Mortality

The positive associations between education and health and survival are well established, but whether the strength of these associations depends on gender is not. Is the beneficial influence of education on survival and on self-rated health conditioned by gender in the same way, in opposite ways, or not at all? Because women are otherwise disadvantaged in socioeconomic resources that are inputs to health, their health and survival may depend more on education than will men??s. To test this hypothesis, we use data from the National Health Interview Survey-Linked Mortality Files (NHIS-LMF). We find that education??s beneficial influence on feeling healthy and on survival are conditional on gender, but in opposite ways. Education has a larger effect on women??s self-rated health than on men??s, but a larger effect on men??s mortality. To further examine the mortality results, we examine specific causes of death. We find that the conditional effect is largest for deaths from lung cancer, respiratory disease, stroke, homicide, suicide, and accidents. Because women report worse health but men??s mortality is higher, education closes the gender gap in both health and mortality.     

Spatially Clustered Outbreak Detection Using the EWMA SCAN Statistics with Multiple Sized Windows

Spatio-temporal surveillance methods for detecting outbreaks of disease are fairly common in the literature with the SCAN statistic setting the benchmark. If the shape and size of the outbreaks are known in advance, then the SCAN statistic can be trained to efficiently detect these, however this is seldom true. Therefore, we want to devise plans that are efficient at detecting a number of outbreaks that vary in size and shape. This article examines plans which use the exponential weighted moving average statistic to build temporal memory into plans and tries to develop robust plans for detecting outbreaks of unknown shapes and sizes.