ArticleSensors (Basel, Switzerland)2021
Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06226285 (Quality of Life for Carers Through a Person-Centred Technological Solution), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Quality of Life for Carers Through a Person-Centred Technological Solution
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Artificially intelligent nursing homes: a scoping review of palliative care interventions.Frontiers in digital health · 2025Pooled it
- Association between dry eye disease and poor sleep quality in the elderly.BMC ophthalmology · 2026Article
- Factors associated with the engagement in meaningful activity and occupational balance in institutionalised older adults: a prospective observational cohort study.BMC geriatrics · 2026Observational
- Fall Risk Assessment and Prevention Strategies in Nursing Homes: A Narrative Review.Healthcare (Basel, Switzerland) · 2025Review
- Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study.Journal of medical Internet research · 2023Article
- Article
- Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns.Sensors (Basel, Switzerland) · 2022Article
- Analysis of Older Adults in Spanish Care Facilities, Risk of Falling and Daily Activity Using Xiaomi Mi Band 2.Sensors (Basel, Switzerland) · 2021Article
- Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundPresently the use of technological devices such as wearable devices has emerged. Physical activity monitoring with wearable sensors is an easy and non-intrusive approach to encourage preventive care for older adults. It may be useful to follow a continuous assessment of the risk of falling. The objective is to explore the relationship between the daily activity measured by Xiaomi Mi Band 2 and the risk of falling of older adults residing in or attending care facilities.
methodsA cross-sectional study was conducted on three different institutions located in Galicia (autonomous community) (Spain).
resultsA total of 31 older adults were included in the study, with a mean age of 84 ± 8.71 years old. The main findings obtained were that a greater number of steps and distance could be related to a lower probability of falling, of dependency in basic activities of daily living, or of mobility problems.
conclusionsThe importance of focusing on daily steps, intrinsically related to the objective assessment of daily physical activity, is that it is a modifiable factor that impacts different aspects of health and quality of life.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.