The biobehavioral impacts of sexual violence: Findings from an acute repeat survivor of vaginal rape
Anderson et al.
The finding, in our words
In a longitudinal case analysis of repeat sexual trauma, self-collected saliva samples revealed a dysregulated diurnal cortisol profile that tracked with immune suppression and mental health fluctuations. The study highlights the feasibility of incorporating remote self-sampling into sensitive biobehavioural monitoring over time.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
A US survey of 3,400 adults aged 62 to 90 collected up to 15 biomeasures at home, including saliva, dried blood spots and urine, with Salivette and Oragene among the devices used, which shows that several patient-centric sampling methods can run together in home-based research.
This study used home self-collected saliva samples to successfully monitor cytokines and cortisol in mothers and infants, finding that a community singing intervention significantly reduced salivary interleukin-6 levels in mothers with postnatal depression.
This study validated a lateral flow fluorescence assay using quantum dots for saliva and europium nanoparticles for serum to detect cortisol within physiological ranges. The test operates in 15 minutes with a handheld reader, supporting point-of-care and at-home monitoring without a cold chain.
In a study of 46 perinatal nicotine users, dried blood spots and saliva were used weekly to measure reproductive hormones, finding that lower postpartum estradiol and greater peripartum declines in oxytocin were associated with increased nicotine craving and use. This demonstrates the feasibility of decentralised microsampling and remote surveys for longitudinal hormone tracking in vulnerable populations.
Among 101 working-age women in Chicago, 70% returned at-home kits for capillary blood and saliva collection, demonstrating that patient-centric microsampling of stress biomarkers (cortisol and CRP) is feasible in diverse urban populations. This supports decentralised diagnostics for population health research.