2017 · International journal of obesity · open access
Circadian timing and alignment in healthy adults: associations with BMI, body fat, caloric intake and physical activity
Baron et al.
The finding, in our words
In 97 healthy adults, circadian alignment calculated from wrist actigraphy and laboratory melatonin onset correlated with dietary intake but not with BMI or body fat, showing that wearable sleep monitoring can remotely uncover relationships between circadian rhythms and behaviour.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL. A ten percent increase in steps corresponded to a 0.015 decrease in sNfL z-score, suggesting rising sNfL may predict subsequent mobility decline.
Joseph et al., Annals of clinical and translational neurology (paywalled) · source ↗
Among 126 Australian university staff, age was the primary correlate of telomere length. Burnout, sleep-related impairment, and mental quality of life moderated the association between fasting plasma glucose and telomere length, showing that combining wearable-measured sleep and autonomic data with blood biomarkers can reveal how mental and cardiometabolic health interact in occupational populations.
Khanal et al., Experimental gerontology (paywalled) · source ↗
Among military conscripts, hydrolysed milk protein alone attenuated the rise in C‑reactive protein over eight weeks relative to protein plus heat‑killed probiotic, while smartwatch‑derived activity and recovery metrics showed no between‑group differences. This indicates that consumer‑grade wearables may be insensitive to immune‑modulation effects that are detectable in serum biomarkers.
Otto et al., Clinical nutrition ESPEN (paywalled) · source ↗
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗
Wearing-off symptoms during natalizumab treatment in multiple sclerosis correlate with fatigue but not with inflammatory or neurodegenerative biomarkers, suggesting they are not markers of disease activity. Passive wearable monitoring detected subtle end-of-cycle motor declines and dynamic activity features that aligned with fatigue, indicating potential for digital biomarkers to serve as remote endpoints in decentralised neurological care.
Masanneck et al., Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics (paywalled) · source ↗