A note on the randomized response technique

It is pointed out that the usual estimators for the parameters of a randomized response model are not, contrary to popular belief, maximum likelihood estimators.     

Impaired angiogenesis in the aged

The process of angiogenesis, during which new blood vessels are formed, is impaired during aging. This Perspective describes many of the myriad components of the angiogenic response that are altered with age. In addition, the impact of impaired angiogenesis on wound healing, vascular disease, and cancer in the aged is discussed.     

The pursuit of socially modifiable contingencies in mental health

The effort to understand the meanings of the well-demonstrated linkages between mental health and one's locations in the social structure has commanded a great deal of research attention over the past half century. Following a brief consideration of my early efforts to make a contribution in this regard, some recent and ongoing work is summarized. In concert with important work by others, these findings support the conclusion that differences in exposure to social stress represent a much more critical contingency in mental health and substance use outcomes than has generally been assumed. In addition, reported results indicate that the lifetime experience of multiple adversities is quite common among young people in South Florida and, presumably, elsewhere and the likelihood that the compelling linkage observed between cumulative adversity and risk for psychiatric and substance disorders is causal in nature. It is suggested that the development of interventions in the service of stress prevention or reduction should command a greater proportion of the attention of researchers and interventionists.     

Intergenerational Profiles of Socioeconomic (Dis)advantage and Obesity During the Transition to Adulthood

Investigations of socioeconomic status (SES) and health during the transition to adulthood in the United States are complicated by the later and more varied transitions in residence, employment, schooling, and social roles compared with previous generations. Parental SES is an important influence during adolescence but cannot sufficiently capture the SES of the independent young adult. Typical, single SES indicators based on income or education likely misclassify the SES of young adults who have not yet completed their education or other training, or who have entered the labor force early with ultimately lower status attainment. We use a latent class analysis (LCA) framework to characterize five intergenerational SES groups, combining multidimensional SES information from two time points—that is, adolescent (parental) and young adult (self) SES data. Associations of these groups with obesity, a high-risk health outcome in young adults, revealed nuanced relationships not seen using traditional intergenerational SES measures. In males, for example, a middle-class upbringing in adolescence and continued material advantage into adulthood was associated with nearly as high obesity as a working poor upbringing and early, detrimental transitions. This intergenerational typology of early SES exposure facilitates understanding of SES and health during young adulthood.     

Male nonworkers: Who are they and who supports them?

Although male nonworkers have become a larger fraction of the population since the late 1960s, very little is known about who they are or who supports them. Using data from the March Current Population Survey and the 1979 National Longitudinal Survey of Youth, this article fills that void The picture that emerges is that there is a small cadre of marginal workers who often do not work for periods of a year or more. The vast majority of nonworking men (men who do not work at all during the year) receive unearned income from at least one source, and the amount of unearned income they receive varies significantly by their reason for not working. Family members provide an important alternative source of support for nonworking men who have little or no unearned income of their own.     

Are veterans healthier? Military service and health at age 40 in the all-volunteer era

I explore the relationship between active-duty military service and self-reported health measured at age 40. Based on selectivity, veterans of active-duty service might be expected to have better health than civilians. Using data taken from the NLSY-79, I show that this is not the case. Although veterans of reserve-duty service, and nonveterans who passed the military’s physical exam for entrance into the military report better physical health, active-duty veterans do not. The lower than expected self-reported health of active-duty veterans cannot be explained by differences on confounding variables such as income, education, and marital status. In addition, the lower physical health of these veterans cannot be explained by differences in health-related behaviors such as excessive alcohol use, cigarette smoking, and body mass index.     

Analytic bounds on causal risk differences in directed acyclic graphs involving three observed binary variables

We apply a linear programming approach which uses the causal risk difference (R_DC)$(R{D}_C)$ as the objective function and provides minimum and maximum values that R_DC$R{D}_C$ can achieve under any set of linear constraints on the potential response type distribution. We consider two scenarios involving binary exposure X, covariate Z and outcome Y. In the first, Z is not affected by X, and is a potential confounder of the causal effect of X on Y. In the second, Z is affected by X and intermediate in the causal pathway between X and Y. For each scenario we consider various linear constraints corresponding to the presence or absence of arcs in the associated directed acyclic graph (DAG), monotonicity assumptions, and presence or absence of additive-scale interactions. We also estimate Z-stratum-specific bounds when Z is a potential effect measure modifier and bounds for both controlled and natural direct effects when Z is affected by X  . In the absence of any additional constraints deriving from background knowledge, the well-known bounds on R_Dc$R{D}_c$ are duplicated: -Pr(Y≠X)?R_DC?Pr(Y=X)$-\mathit{Pr}(Y\ne X)?R{D}_C?\mathit{Pr}(Y=X)$. These bounds have unit width, but can be narrowed by background knowledge-based assumptions. We provide and compare bounds and bound widths for various combinations of assumptions in the two scenarios and apply these bounds to real data from two studies.     

The Effect of Social Work Education and Self-Esteem on Students' Social Discrimination of People with Disabilities

Social work education on disability content has become more important due to political changes in the last two decades. The United States protected people with disabilities from discrimination in community and employment settings with the enactment of the Americans with Disabilities Act of 1990. These changes have empowered people with disabilities to become more independent; however, social workers primarily fulfill roles as case managers, and often make decisions for people with disabilities. This is not consistent with the empowerment perspective embedded in the disability movement. Most social work schools have minimal courses covering disability content. Previous research and the Self-Esteem Hypothesis indicate that social work education, social proximity to people with disabilities, self-esteem and other demographic characteristics are associated with social discrimination, or attitudes, toward people with disabilities. Social work students (n = 73) participated in a survey in the last semester of their program to assess how these characteristics were associated with their attitudes towards people with disabilities. A multiple linear regression revealed that social work education preparedness to work with people with disabilities, an MSW education, self-esteem, and having a friend with a disability were significantly associated with students' social discrimination towards people with disabilities.     

Using Concept Mapping to Develop a Statewide Kinship Care Coalition: A Case Study

Increasingly, community coalitions are being developed to address a myriad of social challenges. However, documented research efforts related to planning processes associated with coalition formation are few. This case-study documents the use of concept mapping (CM) to d elineate a conceptual framework for developing a statewide kinship care coalition in one southeastern state. CM is a mixed-method research approach that analyzes qualitative data via nonmetric multidimensional scaling and hierarchical cluster analyses. After a review of relevant literature, this article discusses CM processes associated with this endeavor and examines implications for future use of CM for coalition formation and development.