Parental Influences on Hmong University Students\u27 Success

This study reports findings from a series of focus groups conducted on Hmong American university students. The purpose of the focus groups was to understand how, from the perspective of Hmong American students themselves, acculturative stress and parents influenced academic success. Findings of a thematic analysis centered on general themes across focus group respondents that related to parental socialization, gendered socialization, and ethnic identification. Each identified themes is discussed in reference to gendered patterns of experiences in Hmong American families and in reference to academic success

Gendered academic adjustment among Asian American adolescents in an emerging immigrant community

Abstract: Research on the academic adjustment of immigrant adolescents has been predominately conducted in large cities among established migration areas. To broaden the field's restricted focus, data from 172 (58% female) Asian American adolescents who reside within a nontraditional or emerging immigrant community in the Southeastern US were used to examine gender differences in academic adjustment as well as school, family, and cultural variables as potential mediators of gender differences found. Results suggest that girls report significantly higher educational goals, intrinsic academic motivation, and utility value of school compared to boys. These gender differences are statistically mediated by ethnic exploration and family processes, most prominently, family respect. School connectedness and perceived discrimination are also associated with academic adjustment at the bivariate level, suggesting that academic success may be best promoted if multiple domains of influence can be targeted. gender | academic adjustment | Asian adolescents | immigrants | immigran

A randomised pragmatic trial of corticosteroid optimization in severe asthma using a composite biomarker algorithm to adjust corticosteroid dose versus standard care: study protocol for a randomised trial

Background: Patients with difficult-to-control asthma consume 50–60% of healthcare costs attributed to asthma and cost approximately five-times more than patients with mild stable disease. Recent evidence demonstrates that not all patients with asthma have a typical type 2 (T2)-driven eosinophilic inflammation. These asthmatics have been called ‘T2-low asthma’ and have a minimal response to corticosteroid therapy. Adjustment of corticosteroid treatment using sputum eosinophil counts from induced sputum has demonstrated reduced severe exacerbation rates and optimized corticosteroid dose. However, it has been challenging to move induced sputum into the clinical setting. There is therefore a need to examine novel algorithms to target appropriate levels of corticosteroid treatment in difficult asthma, particularly in T2-low asthmatics. This study examines whether a composite non-invasive biomarker algorithm predicts exacerbation risk in patients with asthma on high-dose inhaled corticosteroids (ICS) (± long-acting beta agonist) treatment, and evaluates the utility of this composite score to facilitate personalized biomarker-specific titration of corticosteroid therapy.Methods/design: Patients recruited to this pragmatic, multi-centre, single-blinded randomised controlled trial are randomly allocated into either a biomarker controlled treatment advisory algorithm or usual care group in a ratio of 4:1. The primary outcome measure is the proportion of patients with any reduction in ICS or oral corticosteroid dose from baseline to week 48. Secondary outcomes include the rate of protocol-defined severe exacerbations per patient per year, time to first severe exacerbation from randomisation, dose of inhaled steroid at the end of the study, cumulative dose of inhaled corticosteroid during the study, proportion of patients on oral corticosteroids at the end of the study, proportion of patients who decline to progress to oral corticosteroids despite composite biomarker score of 2, frequency of hospital admission for asthma, change in the 7-item Asthma Control Questionnaire (ACQ-7), Asthma Quality of Life Questionnaire (AQLQ), forced expiratory volume in 1 s (FEV1), exhaled nitric oxide, blood eosinophil count, and periostin levels from baseline to week 48. Blood will also be taken for whole blood gene expression; serum, plasma, and urine will be stored for validation of additional biomarkers.Discussion: Multi-centre trials present numerous logistical issues that have been addressed to ensure minimal bias and robustness of study conduct.Trial registration: ClinicalTrials.gov, NCT02717689. Registered on 16 March 2016