Trauma and health risk behaviors in people with severe mental illness

The current study tests the association between a composite measure of unsafe sex and sharing syringes for drug use with six of the more common lifetime traumatic/stressful events in 421 community mental health clients with severe mental illness (SMI) while controlling for psychiatric symptoms and related problems. A small but significant proportion of respondents said they had injected drugs with a shared needle in their lifetime (30, 7.2%), and a much larger proportion of respondents had engaged in unprotected sex (165, 39.2%). Unprotected sex and needle sharing were significantly correlated (Spearman’s rho = .20, p < .01). Frequency of lifetime traumatic events that occurred at least once was reported by one third to three quarters of clients depending on type of trauma. Regression analysis revealed that substance abuse and lifetime homelessness were significantly correlated with health risk behaviors. Practitioners need to be continuously vigilant to comorbid substance use and the housing needs of people with SMI. Limitations of the study include its cross-sectional design.     

Comparing the U.S. Decennial Census Coverage Estimates for Children from Demographic Analysis and Coverage Measurement Surveys

Following every U.S. decennial census since 1960, the U.S. Census Bureau has evaluated the completeness of coverage using two different methods. Demographic analysis (DA) compares the census counts to a set of independent population estimates to infer coverage differences by age, sex, and race. The survey-based approach (also called dual system estimation or DSE) provides coverage estimates based on matching data from a post-enumeration survey to census records. This paper reviews the fundamentals of the two methodological approaches and then initially examines the results of these two methods for the 2010 decennial census in terms of consistency and inconsistency for age groups. The authors find that the two methods produce relatively consistent results for all age groups, except for young children. Consequently, the paper focuses on the results for children. Results of the 1990, 2000, and 2010 decennial censuses are shown for the overall population in this age group and by demographic detail (age, race, and Hispanic origin). Among children, the DA and DSE results are most inconsistent for the population aged 0–4 and most consistent for ages 10–17. Results also show that DA and DSE are more consistent for Black than non-Black populations. The authors discuss possible explanations for the differences in the two methods for young children and conclude that the DSE approach may underestimate the net undercount of young children due to correlation bias.     

Report on a multiple regression method for making population estimates

A new method of making population estimates is introduced and contrasted to the standard ratio-correlation method. The new method, called the “difference-correlation method,” produced population estimates for the counties of Michigan which had a smaller mean percentage error than estimates produced by the ratio-correlation method. The differences of proportions which are used in the difference-correlation method will always have means of zero, while the ratios used in the ratio-correlation method have means which vary. Higher intercorrelations among the variables and increased temporal stability of the intercorrelations are two advantages of using differences rather than ratios.     

A note on the use ofregression methods in population estimates

Evidence which has emerged in the past few years indicates that the relative accuracy of population estimates derived from the ratio-correlation method and the difference-correlation method varies from state to state. In assessing the possible reasons why neither technique is uniformly more accurate, attention is focused on the temporal instability of the statistical relationships between symptomatic indicators and population change. The author concludes that further improvement in population estimates based on regression techniques is likely to be limited until demographers derive means of measuring and adjusting for these temporal changes.     

State-Level 2010 Census Coverage Rates for Young Children

The Census Bureau’s demographic analysis (DA) shows that the net undercount rate for children aged 0–4 was 4.6 percent in the 2010 U.S. Decennial Census while adults (age 18 and older) had a net overcount rate of 0.7 percent. For the population aged 0–4, DA estimates are seen as more accurate than the U.S. Decennial Census because the estimates for this young population rely heavily on highly accurate birth certificate data. Given the relatively high net undercount rate for young children, it would be useful to examine census coverage rates for this population in subnational geographic units. In this study, the 2010 U.S. Decennial Census counts of children aged 0–4 are compared to the corresponding figures from the Census Bureau’s Vintage 2010 Population Estimates in each state. Differences between the 2010 U.S. Decennial Census count and the Vintage 2010 Population Estimates for the population aged 0–4 range from an estimated net undercount of 10.2 percent in Arizona to an estimated net overcount of 2.1 percent in North Dakota. Larger states tended to have higher net undercounts than smaller states. The ten largest states account for about 70 percent of the national net undercount of the population aged 0–4. Of all the factors examined here, the relative size of the Blacks Alone or in Combination plus Hispanics population is most highly correlated with the estimated net undercount of the population aged 0–4. Other measures that were highly correlated with net undercount rates for the population aged 0–4 were linguistic isolation, percent of adults without a high school degree, and the unemployment rate. In general, characteristics of people are more highly correlated with the net undercount rates of young children than the characteristics of housing units.     

What do battered women want? Victims' opinions on prosecution

Prosecutors have increasingly adopted mandatory prosecution in domestic violence criminal cases. There is little empirical evidence, however, that the policy is a good match for victims' needs. Interviews with 94 battered women, whose cases were randomly selected from prosecutors' files, focused on their opinions of prosecuting. A logistic regression explores the factors that predict whether victims favor or oppose prosecution. Open-ended responses are coded into themes using the goals of sentencing literature as a framework. Previous published works are also tentatively grouped into the same themes to look for trends in the field. The most frequent reason why victims oppose prosecution is that the crime is too minor to justify a penalty.