Health behaviors of culturally diverse inner-city community college students

ABSTRACT

Objective: To determine the prevalence of risk behaviors related to cigarette use, alcohol use, nutrition, physical fitness, and sexual behavior. Participants: Participants were 1,075 students attending an urban community college during the Spring 2012 semester. Methods: Data were collected in randomly selected classes using the American College Health Association National College Health Assessment II (ACHA-NCHA II) paper survey and analyzed using Statistical Package for the Social Sciences (SPSS) version 22 for frequencies and chi-square test of independence. Results: The sample population reported poor diet, low rates of physical activity, high rates of overweight/obesity, low rates of condom use for vaginal sex, multiple sexual partners, and unintentional pregnancy. Protective health behaviors included low rates of cigarette smoking and alcohol use, high rates of condoms use for anal sex, and high rates of human immunodeficiency virus (HIV) testing. Conclusion: Students are at high risk for health problems related to poor diet, lack of exercise, and risky sexual behaviors. Additional research is recommended to determine the most effective intervention strategies.     

The Inclusion of Minority Groups in Clinical Trials: Problems of Under Representation and Under Reporting of Data

Objective: To evaluate the representation of minority groups in randomized control trials (RCTs), and the frequency with which this information is reported.

Study Design: Reviewers collected data on the racial/ethnic composition of study samples from all RCTs published in six leading medical journals in 1999.

Results: Of the 280 RCTs, most (204, 71.3%) provided no information on the race/ethnicity of participants. Of the 89 U.S.-based RCTs, 50 (56.1%) reported their minority distribution. Relative to other trials, those funded by the National Institute of Health (NIH) (n = 52) were more likely to report race/ethnicity data (55.8% vs. 23.7%; χ² = 20.9, p ≤ 0.001) and to include nonwhite participants (13.5% vs. 12.5%; χ² = 22.7, p ≤ 0.001).

Conclusion: Minority groups are currently under-represented in clinical trials. Information on the race and ethnicity of clinical trial participants is currently underreported in six leading medical journals. Reporting of minority group information was significantly better only in NIH funded trials, which also were more likely to include nonwhite participants. This suggests that mandatory reporting policies may have a positive effect on both reporting and representation.     

Cultural Differences: A Cross-cultural Study of Urban Planners from Japan,Mexico, the U.S., Serbia-Montenegro,Russia, and South Korea

This study evaluates the efficacy of Hofstede’s indexes of national culture in the context of public planning agencies across six countries—US, Mexico, Serbia-Montenegro, Russia, Japan, and South Korea. We surveyed 343 planning employees and computed separate one-way, between groups analyses of variance to test for overall differences in Hofstede’s indexes. We found that public planning officials across countries are significantly different on all five dimensions of culture. We comment on how cultural differences might factor into urban planners’ attitudes toward advocacy and social equity planning, market-based planning, citizen participation, rational planning, and other issues relevant to planners’ roles.     

Institutions and Development: A Conceptual Reanalysis

This essay reviews the concept of “institutions” as used in the recent economic literatures on firms and national development and notes its limitations. An alternative framework is proposed that draws on classic and contemporary sociological theory to position the concept of institutions in relation to other basic elements of culture and social structure. The framework is used to analyze (1) the failure of attempts to transplant institutions of developed countries into the global South and (2) the dynamics of massive privatization in Mexico. The bearing of this framework on current institutional theories of social change is examined, leading to the identification of sources of change at different levels of causal significance and scope. This modified theory of change is applied to the longstanding demographic debates on historical and institutional determinants of fertility transitions. The bearing of the proposed “thick institutionalist” framework on social theory and future development policies is discussed.     

The Erotic Lesbian in the Spanish Sexploitation Films of the 1970s

This article studies the representation of female homosexuality in the newly born erotic Spanish cinema of the 1970s, questioning the political and social implications of these first representations of lesbianism which contributed to shaping the first democratic discourses around women's sexuality. In order to do so, it looks at some of the most relevant films of the genre (most of which have never been studied before) and examines their portrayal of lesbian sex, focusing later on the figure of Ignacio F. Iquino and his film The Mask as the main representative of this genre in order to prove how the narrative construction of the eroticizing lesbian was largely based upon fascist conceptions of homosexuality.     

A geometrically motivated parametric model in manifold estimation

The general aim of manifold estimation is reconstructing, by statistical methods, an m-dimensional compact manifold S on ^d (with m≤d) or estimating some relevant quantities related to the geometric properties of S. Focussing on the cases d=2 and d=3, with m=d or m=d?1, we will assume that the data are given by the distances to S from points randomly chosen on a band surrounding S. The aim of this paper is to show that, if S belongs to a wide class of compact sets (which we call sets with polynomial volume), the proposed statistical model leads to a relatively simple parametric formulation. In this setup, standard methodologies (method of moments, maximum likelihood) can be used to estimate some interesting geometric parameters, including curvatures and Euler characteristic. We will particularly focus on the estimation of the (d?1)-dimensional boundary measure (in Minkowski's sense) of S. It turns out, however, that the estimation problem is not straightforward since the standard estimators show a remarkably pathological behaviour: while they are consistent and asymptotically normal, their expectations are infinite. The theoretical and practical consequences of this fact are discussed in some detail.     

Nonparametric estimation of the hazard function under dependence conditions

The estimation of the hazard rate has a great number of practical appli¬cations in dependence situations (seismicity analysis, reliability, economics), Based on kernel estimates of the density and the distribution function, we study the properties of the nonparametric estimator of the hazard function as-sociated with a strongly mixing time series. We prove consistency and asymp¬totic normality properties, and a cross-validation method for the smoothing parameter selection is studied. Some simulations and a practical application to real data are also shown.     

Classification Algorithm for Skin Color (CASCo): A new tool to measure skin color in social science research

Objective

A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which skin color has been measured in empirical research have been criticized for being inaccurate, if not subjective and biased.

Objective

Introduce an objective, automatic, accessible and customizable Classification Algorithm for Skin Color (CASCo).

Methods

We review the methods traditionally used to measure skin color (verbal scales, visual aids or color palettes, photo elicitation, spectrometers and image-based algorithms), noting their shortcomings. We highlight the need for a different tool to measure skin color

Results

We present CASCo, a (social researcher-friendly) Python library that uses face detection, skin segmentation and k-means clustering algorithms to determine the skin tone category of portraits.

Conclusion

After assessing the merits and shortcomings of all the methods available, we argue CASCo is well equipped to overcome most challenges and objections posed against its alternatives. While acknowledging its limitations, we contend that CASCo should complement researchers. toolkit in this area.