Evidence map›Paper›PMID 41459391›Full record

ArticleData in brief2026

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

Yuning Wang, Jennifer Auxier, Amayag Mark, Parisa Farzanehkari, Anna Axelin, Iman Azimi, Amir M Rahmani, Pasi Liljeberg

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yuning WangUniversity of Turku, Turku, Finland.
Jennifer AuxierUniversity of British Columbia, Vancouver, Canada.
Amayag MarkUniversity of Turku, Turku, Finland.
Parisa FarzanehkariUniversity of Turku, Turku, Finland.
Anna AxelinUniversity of Turku, Turku, Finland.
Iman AzimiUniversity of Turku, Turku, Finland.
Amir M RahmaniUniversity of California, Irvine, CA, USA.
Pasi LiljebergUniversity of Turku, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset was collected from first-generation immigrants between September 2022 and June 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.

Indexed as

Ecological momentary assessments (EMAs)Heart rate and heart rate variabilityImmigrantsLongitudinal sleep and physical activityPhotoplethysmography (PPG) waveformsRaw wearable physiological signalsSelf-reported real-life mental health data

Identifiers

PMID41459391
PMCPMC12741416

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.