Estimating Two-Stage Models for Genetic Influences on Alcohol, Tobacco or Drug Use Initiation and Dependence Vulnerability in Twin and Family Data

Genetic research on risk of alcohol, tobacco or drug dependence must make allowance for the partial overlap of risk-factors for initiation of use, and risk-factors for dependence or other outcomes in users. Except in the extreme cases where genetic and environmental risk-factors for initiation and dependence overlap completely or are uncorrelated, there is no consensus about how best to estimate the magnitude of genetic or environmental correlations between Initiation and Dependence in twin and family data. We explore by computer simulation the biases to estimates of genetic and environmental parameters caused by model misspecification when Initiation can only be defined as a binary variable. For plausible simulated parameter values, the two-stage genetic models that we consider yield estimates of genetic and environmental variances for Dependence that, although biased, are not very discrepant from the true values. However, estimates of genetic (or environmental) correlations between Initiation and Dependence may be seriously biased, and may differ markedly under different two-stage models. Such estimates may have little credibility unless external data favor selection of one particular model. These problems can be avoided if Initiation can be assessed as a multiple-category variable (e.g. never versus early-onset versus later onset user), with at least two categories measurable in users at risk for dependence. Under these conditions, under certain distributional assumptions., recovery of simulated genetic and environmental correlations becomes possible, Illustrative application of the model to Australian twin data on smoking confirmed substantial heritability of smoking persistence (42%) with minimal overlap with genetic influences on initiation.

The socio-religious beliefs and nature of the contemporary Vampire Subculture

The contemporary Vampire Subculture can be defined as a multi-faceted, socio-religious movement with its own distinct collective community and network of participants who share a similar belief system and customary lifestyle that reflect their concept of the vampire. The Vampire Subculture consists of individuals who profess to be 'real vampires', vampire communities of like-minded persons, 'blood-donors' who willingly allow vampires to partake of them, occult-based and mystical-orientated groups that appeal to their spirituality, the blood fetishists, and the live-action vampire role-players. In response, a Christian counter-movement of self-proclaimed 'vampire-slayers' has emerged that actively opposes the vampire subculture and its beliefs and practices. The socio-religious nature of the Vampire Subculture can be best described as a Segmented, Polycentric and Integrated Network of participants.

Screening for vulnerability to abuse among older women: Women's health Australia study

The validity of a brief self-report screening measure for elder abuse was examined on a nationally representative sample of more than 12,000 older women it? the baseline survey of the Australian Longitudinal Study on Women's Health. The screening instrument was a modification Of the Hwalek-Sengstock Elder Abuse Screening Test. Construct validity was examined using factor analysis and correlation with a wide range of sociodemographic, psychological. and health-related variables. Four factors, each of three items, were identified representing the following domains: Vulnerability, Dependence, Dejection, and Coercion. The Vulnerability and Coercion factors had the highest face validity for abuse and demonstrated moderate to good construct validity. The six items comprising these factors may provide a simple screening tool for elder abuse The identified correlates of abuse indicators have the potential to enhance policy development, screening, intervention, and carer support programs.

Which aspects of socio-economic status are related to health in mid-aged and older women?

A population-based study was conducted to validate gender- and age-specific indexes of socio-economic status (SES) and to investigate the associations between these indexes and a range of health outcomes in 2 age cohorts of women. Data from 11,637 women aged 45 to 50 and 9,5 10 women aged 70 to 75 were analyzed. Confirmatory factor analysis produced four domains of SES among the mid-aged cohort (employment, family unit, education, and migration) and four domains among the older cohort (family unit, income, education, and migration). Overall, the results supported the factor structures derived from another population-based study (Australian Bureau of Statistics, 1995), reinforcing the argument that SES domains differ across age groups. In general, the findings also supported the hypotheses that women with low SES would have poorer health outcomes than higher SES women, and that the magnitude of these effects would differ according to the specific SES domain and by age group, with fewer and smaller differences observed among older women. The main exception was that in the older cohort, the education domain was significantly associated with specific health conditions. Results suggest that relations between SES and health are highly complex and vary by age, SES domain, and the health outcome under study.