Higher education is crucial for young adults in their intake of knowledge and skills to further their careers and reach their potentials. However, going through college is not necessarily an easy path. The purpose of this study is to enhance university students' well-being and educational experience by examining factors associated with stress and well-being. The investigator plans to recruit eighty participants from a large public university in the US to provide survey data and saliva samples at two waves during the data collection semester (beginning and end of the semester). Survey data will include demographic information and help gauge psychosocial factors related to stress and well-being. Saliva will be tested for two biomarkers each wave of data collection, cortisol (sampling three times a day for diurnal patterns for two consecutive days) and c-reactive protein, which indicate physiological stress/immune responses. Additionally, participants be randomly assigned to an intervention (n = 40) or control group (n = 40), where the intervention group will undertake a brief intervention focused on motivation and emotion regulation circa mid-semester and the control group will receive a placebo goal-setting short training. The investigator aims to examine whether intervention efforts can enhance end-of-semester psychological and physiological well-being, and particularly, whether students from diverse backgrounds (e.g., first-generation, low-income, and/or BIPOC) can benefit from the intervention. The investigator will use advanced quantitative data analysis (using Mplus v.8, in a structural equation modeling framework) to examine intervention efficacy and group differences. The investigator hypothesizes that those receiving the intervention will display a healthier profile at the end of the semester compared to their control group counterparts; and the investigator hypothesize students from diverse backgrounds will have significantly improved results from the intervention. The study will allow a better understanding to crucial steps towards exploring how to improve the well-being, higher-education pipeline, and retention of students with diverse backgrounds, providing insight on how each student's university experience can be improved.
Age range
18 Years
Sex
ALL
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Salivary diurnal cortisol pattern change (from baseline to end-of-semester)
Timeframe: Salivary cortisol samples will be collected for two consecutive days per wave, three times per day (upon-awakening, 30-min after wake, and before bedtime), at Wave 1 (baseline, Week 3 of semester) and Wave 2 (end-of-semester, Week 16) of data collection
Salivary C-reactive protein change (from baseline to end-of-semester)
Timeframe: Saliva samples will be collected for two consecutive days per wave, one time per day and averaged for reliability, at Wave 1 (baseline, Week 3 of semester) and Wave 2 (end-of-semester, circa Week 16) of data collection
Acculturative stress change (from baseline to end-of-semester)
Timeframe: Assessed once per wave at Wave 1 (baseline, circa Week 3 of semester) and Wave 2 (circa Week 16, end-of-semester) of data collection
Quality of life (visual analogue) change (from baseline to end-of-semester)
Timeframe: Assessed once per wave at Wave 1 (baseline, circa Week 3 of semester) and Wave 2 (circa Week 16, end-of-semester) of data collection