Digital music and movement intervention to improve health and wellbeing in older adults in care homes: a pilot mixed methods study
De Nys et al.
The finding, in our words
The study found improved salivary DHEA levels and reduced anxiety and loneliness in older adults after a 12-week digital music and movement intervention, showing that decentralised, patient-centric saliva sampling can support biological and psychosocial monitoring in care homes.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
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.
The study determined that an at-home saliva collection protocol using the passive drool method was feasible for Black women with histories of abuse, with 84% of participants completing at least one full day of adherent sampling. While the decentralised approach yielded usable cortisol data, women with histories of forced sex exposure showed lower protocol adherence scores.
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.
Long-term sleep quality improved significantly during an internet-based intervention for major depressive disorder. Patients with poor sleep initially showed blunted cortisol awakening responses, which normalised as sleep quality improved, demonstrating that self-collected saliva can track biological stress changes in decentralised mental health care.
Only 24% of participants completed this two-cycle feasibility study of AI-interpreted salivary ferning for ovulation prediction in females with irregular cycles, with 44% withdrawing citing cycle irregularity, pregnancy, or time constraints. The authors concluded that decentralised fertility trials must streamline procedures and provide ovulatory health education to improve retention and reduce burden before smartphone-based diagnostics can be scaled for this population.