REF-1758 · Hogue et al., 2026 · Frontiers in Digital Health, · Paper · PubMed

Wrist activity trackers improved over two decades on what they measure, heart rate (correlations with the reference from as low as 0.50 in exercise before 2010 to typically above 0.80 now) and steps (errors up to 25% before 2017, now commonly under 5% in steady walking), but energy expenditure, which they estimate, still erred by 10-40% against indirect calorimetry: a systematic review of 47 validation studies in healthy or general-population samples, read from its abstract

Main caveat: No risk-of-bias or certainty assessment is reported in the abstract, and no pooled estimates or intervals are given.
moderate evidenceMeasured on non-athletes to trained athletesRead from the abstract only

Hogue and colleagues reviewed how the accuracy of wrist-worn activity trackers has changed as devices moved from simple accelerometers to multi-sensor watches with optical heart rate and machine-learning algorithms.

Searching four databases under a registered protocol, they included 47 studies in healthy or general-population samples, tested in laboratory or simulated free-living conditions against reference methods.

Heart-rate correlations, as low as 0.50 during exercise in devices before 2010, typically exceed 0.80 during exercise in modern devices; the abstract names Apple Watch and Garmin vivosmart as examples. Step-count errors of up to 25% before 2017 now commonly fall below 5% in steady walking. Misclassification of activity intensity fell from more than 20% to 10-15%.

Energy expenditure improved least: recent devices still erred by 10-40% against indirect calorimetry, which the authors attribute to estimating metabolic rate without measuring oxygen and carbon dioxide. Acceptability, judged by wearing time and satisfaction, was generally high. Variation by brand, activity and population persisted.

Participants

47 studies of healthy or general-population samples; numbers, ages, sexes and fitness are not in the abstract.

Protocol

Search: MEDLINE, Scopus, PubMed and SPORTDiscus; registered (PROSPERO CRD42024551740); dates not in the abstract.
Inclusion: accuracy or acceptability of any wrist-worn consumer or research-grade tracker, laboratory or simulated free-living conditions.
References: ECG (heart rate), indirect calorimetry and doubly labelled water (energy expenditure), manual counting (steps), research-grade accelerometry (intensity).
Not in the abstract: risk-of-bias or certainty assessment, whether anything was pooled, the metrics behind each range, and confidence intervals.

Key Results

Metric (side of the line)Earlier devicesRecent devicesReference
Heart rate (measured)Correlation as low as 0.50 during exercise (before 2010)Typically above 0.80 during exerciseECG among the references (pairing of figure and reference not stated)
Steps (measured movement, counted by the device)Errors up to 25% (before 2017)Commonly below 5% in steady-state walkingManual counting
Activity-intensity class (estimated)Misclassification above 20%10-15% in multi-sensor devicesResearch-grade accelerometry
Energy expenditure (estimated)—10-40% errorIndirect calorimetry
Acceptability—Generally high (long wearing time, good satisfaction)—
The abstract cites a validity standard of 0.90 for heart-rate correlation; the recent-device figure it gives during exercise (typically above 0.80) does not state how many devices reach 0.90.

Practical Application

Trust a wrist tracker's heart rate and step count roughly, its calorie number least: across 47 validation studies, heart-rate correlations in exercise rose to typically above 0.80 (still under the 0.90 validity standard the authors cite) and step errors fell below 5% in steady walking, while energy expenditure still erred by 10-40% against indirect calorimetry.
This agrees with [SYNTH-91]: heart rate and steps are what the sensor measures; calories and intensity classes are what the algorithm estimates, and the estimates lag. It adds no new decision row; the base's calorie rule stands (no fuelling or deficit arithmetic from a watch number; SYNTH-87).
A correlation above 0.80 is not agreement within a beat or two. Inference, not tested here: a high correlation can coexist with a consistent offset, so for zones and hard efforts the base's preference for a chest strap still applies (REF-1249, SYNTH-91).
Not settled by this review: cycling, resistance training or trained athletes, and which models reached what; the abstract gives only two named examples and no ranking.

Limitations

No risk-of-bias or certainty assessment is reported in the abstract, and no pooled estimates or intervals are given; the figures are narrative ranges across devices and years.
Healthy or general-population samples; trained athletes, cycling and strength training are not singled out in the abstract.
The metric behind each range (correlation, mean absolute percentage error, misclassification rate) is only partly stated, and which studies or models produced each figure is not given.
Written from the abstract and the PubMed record; full text not read, so funding and conflicts could not be checked.
How this entry was checked and changed
Why this level

risk of bias not read (abstract only): the abstract names no risk-of-bias or certainty assessment, which caps it at B+; a review of measurement studies whose figures are narrative ranges, not pooled estimates