Loneliness and well-being in Finnish immigrants: A multimodal dataset from wearables and passive data collection

This dataset was collected from first-generation immigrants between 2022
and 2023. Over a 28-day period, 39 participants aged 18 to 65, fluent in
English and experiencing loneliness (UCLA Loneliness Scale score ≥ 28)
contributed to the study. Data collection utilized Samsung Watch Active 2,
Oura Ring, AWARE, and Centralive smartphone application. This dataset
contains raw data from photoplethysmogram (PPG), inertial measurement unit
(IMU) readings, air pressure, and processed data on heart rate, heart rate
variability, sleep metrics (bedtime, stages, quality), physical activity
(steps, active calories, activity types), and smartphone usage patterns
(screen time, notifications, call and message logs). Participants also
completed ecological momentary assessments (EMA) and weekly surveys,
including instruments like the Beck Depression Inventory (BDI), Patient
Health Questionnaire-9 (PHQ-9), Perceived Stress Scale, Sense of Coherence
Scale, Social Connectedness Scale, Twente Engagement with E-Health
Technologies questionnaire, and the UCLA Loneliness Scale. This dataset
can be used to study the interplay between loneliness, mental well-being,
and daily behaviors of immigrants in a real-world context.