Gender Differences in Emotion Expression in Low-Income Adolescents Under Stress

Gender roles in mainstream US culture suggest that girls express more happiness, sadness, anxiety, and shame/embarrassment than boys, while boys express more anger and externalizing emotions, such as contempt. However, gender roles and emotion expression may be different in low-income and ethnically diverse families, as children and parents are often faced with greater environmental stressors and may have different gender expectations. This study examined gender differences in emotion expression in low-income adolescents, an understudied population. One hundred and seventy nine adolescents (aged 14–17) participated in the Trier Social Stress Test (TSST). Trained coders rated adolescents’ expressions of happiness, sadness, anxiety, shame/embarrassment, anger, and contempt during the TSST using a micro-analytic coding system. Analyses showed that, consistent with gender roles, girls expressed higher levels of happiness and shame than boys; however, contrary to traditional gender roles, girls showed higher levels of contempt than boys. Also, in contrast to cultural stereotypes, there were no differences in anger between boys and girls. Findings suggest gender-role inconsistent displays of externalizing emotions in low-income adolescents under acute stress, and may reflect different emotion socialization experiences in this group.     

Creating Welcoming Spaces for Lesbian,Gay, Bisexual,and Transgender (LGBT) Patients: An Evaluation of the Health Care Environment

ABSTRACT

Health outcomes are affected by patient, provider, and environmental factors. Previous studies have evaluated patient-level factors; few focusing on environment. Safe clinical spaces are important for lesbian, gay, bisexual, and transgender (LGBT) communities. This study evaluates current models of LGBT health care delivery, identifies strengths and weaknesses, and makes recommendations for LGBT spaces. Models are divided into LGBT-specific and LGBT-embedded care delivery. Advantages to both models exist, and they provide LGBT patients different options of healthcare. Yet certain commonalities must be met: a clean and confidential system. Once met, LGBT-competent environments and providers can advocate for appropriate care for LGBT communities, creating environments where they would want to seek care.     

Hanging Out With the Right Crowd: Peer Influence on Risk‐Taking Behavior in Adolescence

Peer influence plays a key role in the increase of risk‐taking behavior during adolescence. However, its underlying processes are not fully understood. This study examined the effects of social norms, conveyed through peer advice, on risk‐taking behavior in 15‐ to 17‐year‐old adolescents (N = 76). Participants played a card‐guessing task alone and with online peer advice. Results showed that risk‐taking increased in the presence of peers. The results further showed that adolescents took into account the uncertainty associated with gambles, as well as the social norms conveyed by peers. Our findings suggest that peers are most influential in uncertain situations and demonstrate the value of a social norms approach in examining the processes underlying peer effects.     

Die Kombination von ethnografischer Beobachtung und standardisierter Befragung

Mixed methods researchers usually discuss how to combine qualitative and quantitative data of the same data type (typically interviews). However, mixed methods research becomes vastly more complicated, when not only standardized data are combined with more open-ended data but simultaneously different data types are mixed (e.?g. ethnographical data with survey data). Using two examples from spatial sociology, this paper illustrates that the specific benefit of such combinations is that ethnography and surveys provide complementary information. The paper also discusses how to solve some problems typically arising in mixed methods studies with mixed data types. In particular, which mixed methods design is most suitable, strongly depends on the specific research question and the social theory used. Regardless, researchers have to decide which strand of the mixed methods study is core component and which is supplemental component.     

Attachment‐Based Family Therapy With a 13‐Year‐Old Girl Presenting With High Risk for Suicide

This article describes the application of Attachment‐Based Family Therapy (ABFT) to the treatment of a 13‐year‐old female adolescent presenting with high risk of suicide, complicated by a history of depression and sexual trauma. The article begins with an overview of ABFT, including (a) how attachment theory guides treatment; (b) the structure of the clinical model; and (c) the data that provide empirical support. A case example is then presented that exemplifies the primary clinical procedures used to reach therapeutic goals in ABFT, including attachment repair and autonomy/competence promotion. Weekly changes in suicide ideation and depression scores are presented. The article concludes with a discussion about implications for family‐based treatment of suicidal youth.     

Precarious lives,precarious labour: family support and young men's transitions to work in the UK

This research is about young people, family support and transitions into the workforce. We provide the results of a comparative, qualitative study with young men in two southern English towns. We argue that relationships of support in families are vital to young people's ability to ‘navigate’ precarious labour market opportunities. As Youth Studies has become increasingly preoccupied with individualism, we are compelled to draw attention to the collective support that is necessary to ‘launch’ the life trajectories of young people who are transitioning into an economic environment marked by insecurity and uncertainty. We conclude with recommendations for future research.     

Accounting for uncertainty in health economic decision models by using model averaging

Summary.  Health economic decision models are subject to considerable uncertainty, much of which arises from choices between several plausible model structures, e.g. choices of covariates in a regression model. Such structural uncertainty is rarely accounted for formally in decision models but can be addressed by model averaging. We discuss the most common methods of averaging models and the principles underlying them. We apply them to a comparison of two surgical techniques for repairing abdominal aortic aneurysms. In model averaging, competing models are usually either weighted by using an asymptotically consistent model assessment criterion, such as the Bayesian information criterion, or a measure of predictive ability, such as Akaike's information criterion. We argue that the predictive approach is more suitable when modelling the complex underlying processes of interest in health economics, such as individual disease progression and response to treatment.     

Life satisfaction among the rural elderly: What do the numbers mean?

Studies of life satisfaction among the elderly are based almost entirely on quantitative data, yet we have little knowledge of whether such data are consistent and valid representations of satisfaction. The present paper addresses this issue through a comparison of quantitative and qualitative data on satisfaction with housing, family, spouse, self-esteem, health, friends and life as a whole. The data were obtained from 15 elderly men and women living in rural Ontario who had participated in both a survey study of life satisfaction and an intensive qualitative study of loneliness, social activities and social relationships. The values selected by participants from scales of satisfaction were found to be fairly similar overall to judgements made by the investigators on the basis of qualitative data from interviews and diaries. But there were also a number of discrepancies across both participants and domains, and these discrepancies were not systematic. The scale values appear to be at best a superficial representation of participants' satisfaction. It is concluded that quantitative approaches are of limited utility in studies of the quality of life, and that they are most appropriately viewed as supplementary to approaches employing qualitative data and analysis.