Self-rated health and barriers to healthcare in Ukraine: The pivotal role of gender and its intersections

The ongoing health crisis in the Ukraine has persisted for 48 years with a clear division of gender-based outcomes as seen in the decline of male life expectancy and stagnation of female longevity. The purpose of this paper is to investigate differences in self-rated health and system barriers to health care applicable to gender and its intersections because of the differing negative health outcomes for men and women. Intersectionality theory provides an analytic framework for interpreting our results. Utilizing a nationwide sample of the Ukrainian population (N = 1908), we found that low socioeconomic status (SES) women rate their health worse than men generally and any other socioeconomic group. Yet women also face the greatest barriers to health care until older ages when the ailments of men cause them to likewise face the obstacles. In reviewing the barrier to health care scale, one barrier—that of health care services being too expensive—dominated the responses with some 52.5 percent of the sample reporting it. Consequently, the greatest problem in Ukraine with respect to health reform reported by the population is the out-of-pocket costs for care in a system that is officially free. These costs, constituting some 40 percent of all national health expenditures, affect women and the aged the most.     

DNA typing of samples for polymarker, DQA1, and nine STR loci from a human body exhumed after 27 years

A body was exhumed from the ground after 27 years. Samples of femur bone, tooth, and a fingernail were collected and successfully subjected to DNA extraction, quantitation, amplification, and subsequently typed for DQA1, polymarker, and nine STR loci. All three types of samples were typed for D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S17, D7S820, and amelogenin using ABI Prism 377 DNA sequencer.     

Specifying Type and Location of Peer Victimization in a National Sample of Children and Youth

Much of the existing research on the prevalence and consequences of peer victimization focuses on “bullying” at school, often omitting from consideration non-bullying types of peer victimization as well as events that occur outside of school. The purpose of this study was to examine past-year exposure to peer-perpetrated victimization, occurring both within and outside of school contexts, among school-aged children in the United States. The study is based on a representative sample of 2,999 youth ages 6–17 (50% female; 45% non-white) from the 2008 National Survey of Children’s Exposure to Violence (NatSCEV). Findings revealed age, gender, race, and family structure variations in many forms of peer victimization and demonstrated significant independent and cumulative effects of six different types of peer victimization (physical assault, physical intimidation, emotional victimization, sexual victimization, property crime, and internet harassment) on trauma symptoms. Findings also showed that, although victimization at school is substantial, a considerable proportion of peer victimizations occur away from school contexts. The findings highlight the importance of comprehensive measurement of multiple forms of peer victimization that occur both at school and elsewhere, rather than focusing exclusively on traditional measures of school-focused bullying.     

Typing of eight short tandem repeat (STR) loci in a Saudi Arabian population

Allele frequency data for eight short tandem repeat (STR) loci, HUMF13A01, HUMFESFPS, HUMF13B, HUMLPL, HUMCSF1PO, HUMTPOX, HUMTHO1 and HUMvWA, were obtained for unrelated individuals in a Saudi Arabian population. All loci, except F13B (P = 0.037) and LPL (P = 0.035), meet Hardy-Weinberg expectations, based on the exact test. The most informative locus is HUMvWA (PD = 0.936) and the least discriminating is the HUMTPOX locus (PD = 0.820). There was only one observation of a departure from expectation from pairwise locus comparisons. These data can be used for estimating the frequency of STR profiles in a Saudi Arabian population.     

The Path of Helpseeking: Perceptions of Law Enforcement Among American Indian Victims of Sexual Assault

The longstanding history of violence and oppression toward American Indians (AI) by the United States has created numerous problems for native communities, including high crime rates. AI women are sexually victimized more than other U.S. racial groups, but often receive very limited services. Secondary analyses of National Violence Against Women Survey data indicate that AI women's reasons for not reporting rape suggest ongoing suspicion of law enforcement. AI women, compared to others, more often said law enforcement would not believe or would blame them, and more often reported that they or their family dealt with the perpetrator. Many other barriers to helpseeking persist, including prejudice, conflict between Western and native values, language barriers, and poverty. AI communities also possess numerous resources that are specific to their cultures and their sovereign relationships with the U.S. government. More needs to be done to minimize barriers and make full use of community assets.     

The Development and Application of Random Match Probabilities to Firearm and Toolmark Identification

The field of firearms and toolmark analysis has encountered deep scrutiny of late, stemming from a handful of voices, primarily in the law and statistical communities. While strong scrutiny is a healthy and necessary part of any scientific endeavor, much of the current criticism leveled at firearm and toolmark analysis is, at best, misinformed and, at worst, punditry. One of the most persistent criticisms stems from the view that as the field lacks quantified random match probability data (or at least a firm statistical model) with which to calculate the probability of a false match, all expert testimony concerning firearm and toolmark identification or source attribution is unreliable and should be ruled inadmissible. However, this critique does not stem from the hard work of actually obtaining data and performing the scientific research required to support or reject current findings in the literature. Although there are sound reasons (described herein) why there is currently no unifying probabilistic model for the comparison of striated and impressed toolmarks as there is in the field of forensic DNA profiling, much statistical research has been, and continues to be, done to aid the criminal justice system. This research has thus far shown that error rate estimates for the field are very low, especially when compared to other forms of judicial error. The first purpose of this paper is to point out the logical fallacies in the arguments of a small group of pundits, who advocate a particular viewpoint but cloak it as fact and research. The second purpose is to give a balanced review of the literature regarding random match probability models and statistical applications that have been carried out in forensic firearm and toolmark analysis.     

Identification of 2‐(ethylamino)‐1‐(4‐methylphenyl)‐1‐pentanone (4‐MEAP), a New “Legal High” Sold by an Internet Vendor as 4‐Methyl Pentedrone

Online vendors are offering a new legal high, 4‐methylpentedrone (4‐MPD). Information for potential users provided by internet vendors of 4‐MPD includes incorrect structures and nonexistent CAS numbers. A sample of 4‐MPD was obtained and analyzed using GC‐MS, NMR, and LC‐EIS. The fragmentation data from the GC‐MS and LC‐EIS produced an M‐1 ion that suggested the molecular mass was 219 amu, rather than 205 amu as calculated for 4‐methylpentedrone. The difference in molecular mass corresponded to the addition of a methyl group. Based on the mass and fragmentation pattern, two standards were synthesized, 2‐(ethylamino)‐1‐(4‐methylphenyl)‐1‐pentanone and 1‐(4‐methylphenyl)‐2‐(propylamino)‐1‐butanone. The synthesis involved bromination of the appropriate ketone followed by the reaction with ethylamine or propylamine. Based on the NMR data and unique fragmentation patterns produced by these molecules, the sample was identified as 2‐(ethylamino)‐1‐(4‐methylphenyl)‐1‐pentanone, not 4‐methylpentedrone.