Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank
Open accessPublished version of a preprint
Abstract
Many chronic disease symptomatologies involve desynchronized sleep-wake cycles, indicative of disrupted biorhythms. This can be interrogated using body temperature rhythms, which have circadian as well as sleep-wake behavior/environmental evoked components. Here, we investigated the association of wrist temperature amplitudes with a future onset of disease in the UK Biobank one year after actigraphy. Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05) and 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05). A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD, 1.69 (1.53-1.88) for type 2 diabetes, 1.25 (1.14-1.37) for renal failure, 1.23 (1.17-1.3) for hypertension, and 1.22 (1.11-1.33) for pneumonia (phenome-wide atlas available at http://bioinf.itmat.upenn.edu/biorhythm_atlas/ ). This work suggests peripheral thermoregulation as a digital biomarker.
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Written from the paper’s full text.
TL;DR
In UK Biobank participants with wrist actigraphy, lower diurnal wrist temperature amplitude was associated with future diagnosis of many diseases, including metabolic, cardiovascular, renal, respiratory, and liver conditions. The authors propose peripheral thermoregulation as a potential digital biomarker.
Key findings
- Among 425 PheCODEs with at least 200 cases, 73 (17%) were significantly associated with decreased wrist temperature amplitude at Benjamini-Hochberg FDR q < 0.05, and 26 (6.1%) passed Bonferroni correction (α < 0.05).
- A 2 SD lower wrist temperature amplitude (1.8 °C) corresponded to hazard ratios of 1.91 (1.58–2.31 95% CI) for NAFLD, 1.69 (1.53–1.88) for type 2 diabetes, 1.25 (1.14–1.37) for renal failure, 1.23 (1.17–1.30) for hypertension, and 1.22 (1.11–1.33) for pneumonia.
- Lower amplitude was also associated with increased all-cause mortality: HR = 1.14 (1.04–1.23 95% CI) for a 2 SD decrease, with n = 3061 deaths.
- Opposite-direction associations occurred for Parkinson’s disease (HR = 0.76 [0.59–0.97], q = 0.11, n = 295) and Raynaud’s syndrome (HR = 0.63 [0.51–0.79], q = 0.001, n = 295).
Methods
- UK Biobank collected 7 days of wrist actigraphy from 103,688 participants; 91,462 passed quality control and had complete covariate data. Wrist temperature was fit with cosinor models to extract amplitude.
- Disease phenotypes were derived from inpatient hospital ICD-10 codes grouped into PheCODEs; diagnoses within one year after actigraphy were excluded, and mean follow-up was 5.9 years (4.8–7.3 min-max).
- Cox proportional hazards models were run for each PheCODE with ≥200 cases, with temperature amplitude as the independent variable and covariates including sex, ethnicity, smoking, age, BMI, education, Townsend deprivation index, alcohol consumption, and self-reported health; multiple testing was controlled by Benjamini-Hochberg FDR.
Limitations
- The paper states that wrist temperature was measured by a sensor enclosed in the actigraphy device, separated from direct skin contact by a few millimeters of plastic, and that ambient temperature fluctuations should be considered.
- The paper states that disease phenotypes came from in-patient hospital diagnostic codes, so some phenotypes may be recorded later than actual disease onset or missed entirely; BMI was included as a covariate but measured about five years before actigraphy, serving as an incomplete control; menstrual phase and contraceptive data were lacking, and menopause status was not collected at accelerometry for most participants.
- The paper also notes that cosine curves do not capture the exact shape of diurnal wrist temperature variation, suggesting future approaches with higher harmonic terms or functional principal component analysis.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 67 cited sources checked · 0 supported · 0 flagged
- Findingown data
Among 425 disease conditions in the UK Biobank, 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature at a Benjamini-Hochberg false discovery rate q < 0.05.
“Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature (Benjamini-Hochberg FDR q < 0.05)”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Of the 425 PheCODEs with at least 200 cases, a total of 73 (17%) reached significance at a Benjamini-Hochberg false discovery rate (FDR) of q < 0.05 (Fig. 3a, Supplementary Data 1).”
- Also stated in: § Discussion · plain
“We identified 73 out of 425 (17%) disease phenotypes across the human phenome that were associated with decreased wrist temperature amplitudes”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
Among 425 disease conditions in the UK Biobank, 26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05).
“26 (6.1%) PheCODEs passed a more stringent significance level (Bonferroni-correction α < 0.05).”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“The more conservative Bonferroni family-wise error rate (FWER) of α < 0.05, (p < 0.00012, Fig. 3a), identified a total of 26 (6.1%) PheCODEs.”
- Also stated in: § Discussion · plain
“26 of which (6.1%) were highly significant under more stringent criteria.”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
The wrist temperature curves are right shifted for the evening chronotype compared to participants reporting a morning preference.
“The wrist temperature curves are right shifted for the evening chronotype compared to participants reporting a morning preference (Fig. 2a).”
Quote in the paperNot a substantial claim - Findingcitation
The shape of the UK Biobank wrist temperature curves matched previously reported curves for peripheral skin measured at the wrist.
“The shape of the UKBB wrist temperature curves matched previously reported curves for peripheral skin measured at the wrist11.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
Not checked in the free run.
- Findingown data
The peripheral skin temperature signal was strong enough to produce a phenotype characteristic of a biological origin.
“we found that the peripheral skin temperature signal (Supplementary Fig. 1) was strong enough to produce a phenotype characteristic of a biological origin.”
Quote in the paperSubstantial claim
- Findingown data
In the UK Biobank, a two-standard deviation (1.8°C) lower wrist temperature amplitude corresponds to a hazard ratio of 1.91 (1.58-2.31 95% CI) for NAFLD.
“A two-standard deviation (1.8° Celsius) lower wrist temperature amplitude corresponded to hazard ratios of 1.91 (1.58-2.31 95% CI) for NAFLD”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“A two-standard deviation (SD) decrease (1.8 °C) in wrist temperature amplitude (HR = 1.91 [1.58–2.31, 95% CI], q = 2.3 × 10−9, n = 603 events) is associated with nearly double the rate of nonalcoholic fatty liver disease (NAFLD) disease.”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“NAFLD (Other chronic nonalcoholic liver disease) | 1.91 (1.58–2.31) | 1.43 (1.28–1.58) | 603”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
In the UK Biobank, a two-standard deviation (1.8°C) lower wrist temperature amplitude corresponds to a hazard ratio of 1.69 (1.53-1.88) for type 2 diabetes.
“1.69 (1.53-1.88) for type 2 diabetes”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“In the UKBB data, wrist temperature rhythms have an HR for type 2 diabetes mellitus of 1.69 (1.53–1.88, 95% CI, q = 2.9 × 10−20, n = 1,936 events).”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Type 2 diabetes | 1.69 (1.53–1.88) | 1.34 (1.26–1.42) | 1936”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingcitation
The right shift corresponds well with the 2-3 h delay in circadian phase observed between morning and evening chronotypes.
“This corresponds well with the 2–3 h delay in circadian phase observed between morning and evening chronotypes24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Lack, L., Bailey, M., Lovato, N. & Wright, H. Chronotype differences in circadian rhythms of temperature, melatonin, and sleepiness as measured in a modified constant routine protocol. Nat. Sci. Sleep. 1, 1–8 (2009). source
Not checked in the free run.
- Findingcitation
The peak-to-trough variation in observed wrist temperature matches the 6 °C differential between maximum (36.1 ± 0.5 °C) and minimum (30.4 ± 1.7 °C) diurnal temperature fluctuations reported for a cohort of 103 healthy volunteers.
“The peak-to-trough variation in the observed wrist temperature in Fig. 2a–f matches the 6 °C differential between maximum (36.1 ± 0.5 °C) and minimum (30.4 ± 1.7 °C) diurnal temperature fluctuations reported for a cohort of 103 healthy volunteers23.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] Capella, M. D. M., Martinez-Nicolas, A. & Adan, A. Circadian rhythmic characteristics in men with substance use disorder under treatment. influence of age of onset of substance use and duration of abstinence. Front. Psychiatry 9, 373 (2018). source
Not checked in the free run.
- Findingown data
In the UK Biobank, a two-standard deviation (1.8°C) lower wrist temperature amplitude corresponds to a hazard ratio of 1.22 (1.11-1.33) for pneumonia.
“1.22 (1.11-1.33) for pneumonia”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Pneumonia | 1.22 (1.11–1.33) | 1.11 (1.06–1.17) | 2256”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
The plateau of maximum wrist temperatures occurs during night hours.
“The plateau of maximum wrist temperatures occurs during night hours (Fig. 2a, Supplementary Fig. 2).”
Quote in the paperNot a substantial claim - Findingown data
In the UK Biobank, a two-standard deviation (1.8°C) lower wrist temperature amplitude corresponds to a hazard ratio of 1.25 (1.14-1.37) for renal failure.
“1.25 (1.14-1.37) for renal failure”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Renal failure | 1.25 (1.14–1.37) | 1.13 (1.07–1.19) | 2310”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
The shape depicted in Fig. 2a is consistent with the characteristic wrist temperature phenotype.
“The shape depicted in Fig. 2a is consistent with this phenotype.”
Quote in the paperSubstantial claim - Findingown data
In the UK Biobank, a two-standard deviation (1.8°C) lower wrist temperature amplitude corresponds to a hazard ratio of 1.23 (1.17-1.3) for hypertension.
“1.23 (1.17-1.3) for hypertension”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Wrist temperature rhythms also had large associations with risk of hypertension (HR = 1.23 [1.17–1.30], q = 8.4 × 10−12, n = 6143)”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Essential hypertension | 1.23 (1.17–1.3) | 1.12 (1.09–1.16) | 6143”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
The wrist temperature signal was clearly discernable despite being modulated by sleep, ambient temperature conditions, food intake and other confounders.
“This wrist temperature signal was clearly discernable despite it being modulated (masked) by sleep, ambient temperature conditions, food intake and other confounders.”
Quote in the paperSubstantial claim - Findingown data
Sleep disorders had a hazard ratio of 1.50 (1.3-1.74) at 2 SD, with n = 864 events.
“Sleep disorders | 1.50 (1.3–1.74) | 1.25 (1.15–1.36) | 864”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Wrist temperature rhythms had large associations with disorders of lipid metabolism (HR = 1.16 [1.09-1.24] q = 1.4 × 10−4, n = 4072).
“and in disorders of lipid metabolism (HR = 1.16 [1.09–1.24] q = 1.4 × 10−4, n = 4072)”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Disorders of lipida metabolism | 1.16 (1.09–1.24) | 1.09 (1.05–1.13) | 4072”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
In many phenotypes, weaker wrist temperature rhythms are associated with future onset of disease.
“In many phenotypes, weaker wrist temperature rhythms are associated with future onset of disease.”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Osteoarthrosis had a hazard ratio of 1.12 (1.04-1.21) at 2 SD, with n = 2921 events.
“Osteoarthrosis | 1.12 (1.04–1.21) | 1.06 (1.02–1.11) | 2921”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Diverticulosis had a hazard ratio of 1.20 (1.13-1.28) at 2 SD, with n = 4528 events.
“Diverticulosis | 1.20 (1.13–1.28) | 1.11 (1.07–1.14) | 4528”
Quote in the paperNot a substantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Overall, subjects with lower amplitude had increased risk of all-cause mortality (p = 0.002, n = 3061 deaths HR = 1.14 [1.04-1.23, 95% CI] for a 2 SD decrease in amplitude).
“Overall, subjects with lower amplitude had increased risk of all-cause mortality (p = 0.002, n = 3061 deaths HR = 1.14 [1.04–1.23, 95% CI] for a 2 SD decrease in amplitude).”
- Also stated in: § Discussion · boosted
“We found a strong association between dampened temperature rhythms and mortality. The mortality rate was increased by 14% in those who displayed a wrist temperature amplitude that was diminished by two standard deviations (1.8 °C)”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Discussion · boosted
- Findingown data
In the present study, anxiety disorder was one of the few mental PheCODEs with more than 200 cases to show a trend (HR = 1.11 [0.99-1.24], q = 0.20, n = 1555).
“In the present study, anxiety disorder was one of the few mental PheCODEs with more than 200 cases to show a trend (HR = 1.11 [0.99–1.24], q = 0.20, n = 1555) (Fig. 3b, Table 1).”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Anxiety disorders | 1.11 (0.99–1.24) | 1.06 (1.0–1.12) | 1555”
Quote in the paperNot a substantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
Among the highly associated diseases were NAFLD, diabetes mellitus, hypertension, asthma, chronic airway obstruction, lipid disorders, chronic liver disease, renal failure, and pneumonia.
“Among the highly associated diseases were NAFLD, diabetes mellitus, hypertension, asthma, chronic airway obstruction, lipid disorders, chronic liver disease, renal failure, and pneumonia.”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
The association between decreased amplitude and mortality remained significant when age categories of under and over 65 years of age were analyzed separately (p = 0.037, HR = 1.10, n = 759 deaths for <65 years of age compared to p = 0.018, HR = 1.06, n = 2302 deaths for >65 years of age).
“To confirm age-independence of this relationship, the association between decreased amplitude and mortality remained significant when age categories of under and over 65 years of age were analyzed separately (p = 0.037, HR = 1.10, n = 759 deaths for <65 years of age compared to p = 0.018, HR = 1.06, n = 2302 deaths for >65 years of age).”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
In each of eight categories (neoplasms, neurological, digestive, genitourinary, respiratory, musculoskeletal, circulatory system, and endocrine/metabolic conditions) five or more PheCODEs were significant at FDR q < 0.05.
“In each of eight categories (neoplasms, neurological, digestive, genitourinary, respiratory, musculoskeletal, circulatory system, and endocrine/metabolic conditions) five or more PheCODEs were significant at this level, highlighting the importance of interrogating across the human phenome.”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
A 2 SD lower wrist temperature amplitude indicated a 67% higher risk of extrapyramidal disease and abnormal movement disorders (HR = 1.67 [1.32-2.11], q = 4.4 × 10−4, n = 293).
“A 2 SD lower wrist temperature amplitude indicated a 67% higher risk of extrapyramidal disease and abnormal movement disorders (HR = 1.67 [1.32–2.11], q = 4.4 × 10−4, n = 293).”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Extrapyramidal disease and abnormal movement disorders | 1.67 (1.32–2.11) | 1.33 (1.16–1.51) | 293”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
Parkinson's disease had a hazard ratio of 0.76 (0.59-0.97) at 2 SD, with n = 295 events.
“Parkinson’s disease | 0.76 (0.59–0.97) | 0.86 (0.75–0.98) | 295”
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
“Decreased wrist temperature rhythms were associated with decreased future diagnoses for Parkinson’s disease (HR = 0.76 [0.59–0.97], q = 0.11, n = 295) (Fig. 2f)”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Also stated in: § Biorhythms in wrist temperature associate with future diagnoses · plain
- Findingown data
Trends (p < 0.05) for age-dependent differences were present in age-related diseases, such as diabetes, cognitive disorders, cataract, neoplasms, heart valve disease and diverticulosis (q > 0.48 for all PheCODEs).
“Similarly, trends (p < 0.05) for age-dependent differences were present in age-related diseases, such as diabetes, cognitive disorders, cataract, neoplasms, heart valve disease and diverticulosis (q > 0.48 for all PheCODEs).”
Quote in the paperNot a substantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Decreased wrist temperature rhythms were associated with decreased future diagnoses for Raynaud's syndrome (HR = 0.63 [0.51-0.79], q = 0.001, n = 295).
“and with Raynaud’s syndrome (HR = 0.63 [0.51–0.79], q = 0.001, n = 295).”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Findingown data
Decreased wrist temperature amplitudes associate with disease risk in UK Biobank participants.
“In conclusion, we established that decreased wrist temperature amplitudes associate with disease risk in participants of the UKBB”
Quote in the paperSubstantial claim- Rests on an assumption: Disease phenotypes derived from in-patient hospital diagnostic codes accurately reflect disease onset and presence.
- Rests on an assumption: The one-year lag period is sufficient to exclude prevalent disease cases.
- Findingown data
Temperature rhythms are confounded by BMI.
“Another limitation is that temperature rhythms are confounded by BMI as illustrated in Supplementary Fig. 2.”
Quote in the paperNot a substantial claim - Findingown data
All results presented were consistent between all three cohorts in phenotypes with large sample sizes.
“All results presented in this paper were consistent between all three cohorts in phenotypes with large sample sizes.”
Quote in the paperNot a substantial claim - Findingown data
Type 2 diabetes had hazard ratios of 1.69 (1.53-1.88), 1.65 (1.45-1.87), and 1.79 (1.49-2.14) across cohorts.
“Likewise, type 2 diabetes has HRs of 1.69 (1.53–1.88), 1.65 (1.45–1.87), and 1.79 (1.49–2.14).”
Quote in the paperNot a substantial claim - Premisecitation
Peripheral wrist temperature oscillations run inverse to the core clock.
“Peripheral wrist temperature oscillations serve as a proxy for endogenous circadian function—through the thermoregulatory coupling of core and periphery—and run inverse to the core clock10,11.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Krauchi, K. The human sleep-wake cycle reconsidered from a thermoregulatory point of view. Physiol. Behav. 90, 236–245 (2007). source
Not checked in the free run.
- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
Not checked in the free run.
- Premisecitation
Temperature rhythms are well-established biomarkers for circadian clock function.
“Temperature rhythms are well-established biomarkers for circadian clock function9.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Reid, K. J. Assessment of circadian rhythms. Neurol. Clin. 37, 505–526 (2019). source
Not checked in the free run.
- Interpretationreasoning
The right shift also corresponds to the delay in sleep timing.
“This also corresponds to the delay in sleep timing.”
Quote in the paperNot a substantial claim - Premisecitation
Wrist temperature traces are suitable to estimate circadian entrainment, comparable to melatonin or core body temperature, as marker rhythms.
“and are therefore suitable to estimate circadian entrainment, comparable to melatonin or core body temperature, as marker rhythms12,13.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] Cuesta, M., Boudreau, P., Cermakian, N. & Boivin, D. B. Skin temperature rhythms in humans respond to changes in the timing of sleep and light. J. Biol. Rhythms 32, 257–273 (2017). source
Not checked in the free run.
- cites [13] Bonmati-Carrion, M. A. et al. Circadian phase assessment by ambulatory monitoring in humans: correlation with dim light melatonin onset. Chronobiol. Int. 31, 37–51 (2014). source
Not checked in the free run.
- Premisecitation
Phase determined by wrist temperature readings correlated strongly (R = 0.756) with circadian phase assessed by dim light melatonin onset (DLMO) in a study of 13 healthy volunteers.
“To underscore the value of wrist temperature as a potential biomarker, we refer to a study in 13 healthy volunteers showing that phase determined by wrist temperature readings correlated strongly (R = 0.756) with the circadian phase assessed by dim light melatonin onset (DLMO), which is the gold standard in the field13.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Bonmati-Carrion, M. A. et al. Circadian phase assessment by ambulatory monitoring in humans: correlation with dim light melatonin onset. Chronobiol. Int. 31, 37–51 (2014). source
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- Premisecitation
A comprehensive phenome-wide approach to disrupted rest-activity cycles from accelerometry in the UK Biobank has not yet been established.
“Although a few disease-specific studies, limited to patients with mood disorders7,8, have measured the degree of disrupted rest-activity cycles from accelerometry in the UKBB, a comprehensive phenome-wide approach has not yet been established.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Ferguson, A. et al. Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability. EBioMedicine 35, 279–287 (2018). source
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- cites [8] Lyall, L. M. et al. Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. Lancet Psychiatry 5, 507–514 (2018). source
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- Premisecitation
Wrist temperature traces retain an endogenous sinusoidal component under conditions of constant temperature and light with standardized food intake.
“These traces retain an endogenous sinusoidal component under conditions of constant temperature and light with standardized food intake11”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
Not checked in the free run.
- Premisecitation
Peripheral wrist temperature oscillations serve as a proxy for endogenous circadian function through the thermoregulatory coupling of core and periphery.
“Peripheral wrist temperature oscillations serve as a proxy for endogenous circadian function—through the thermoregulatory coupling of core and periphery—and run inverse to the core clock10,11.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [10] Krauchi, K. The human sleep-wake cycle reconsidered from a thermoregulatory point of view. Physiol. Behav. 90, 236–245 (2007). source
Not checked in the free run.
- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
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- Interpretationown data
This work suggests peripheral thermoregulation as a digital biomarker.
“This work suggests peripheral thermoregulation as a digital biomarker.”
- Also stated in: § Introduction · boosted
“This work strongly suggests peripheral thermoregulation as a digital biomarker.”
Quote in the paperSubstantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
- Rests on an assumption: The UK Biobank cohort is representative enough for the associations to generalize to the general population.
- Also stated in: § Introduction · boosted
- Premisecitation
Disruption of temperature rhythms has been strongly associated with metabolic syndrome and diabetes.
“disruption of temperature rhythms has been strongly associated with metabolic syndrome and diabetes15”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Harfmann, B. D. et al. Temperature as a circadian marker in older human subjects: relationship to metabolic syndrome and diabetes. J. Endocr. Soc. 1, 843–851 (2017). source
Not checked in the free run.
- Premisecitation
Participants collected wrist temperature data under real life conditions so that the rhythms contain both circadian and sleep-wake behavior and environmentally evoked components.
“Importantly, participants collected these data under real life conditions so that the wrist temperature rhythms contain both circadian as well as sleep-wake behavior and environmentally evoked components (i.e., sleep reduces core temp and increases distal skin temperature)19.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [19] Krauchi, K., Knoblauch, V., Wirz-Justice, A. & Cajochen, C. Challenging the sleep homeostat does not influence the thermoregulatory system in men: evidence from a nap vs. sleep-deprivation study. Am. J. Physiol. Regul. Integr. Comp. Physiol. 290, R1052–R1061 (2006). source
Not checked in the free run.
- Premisecitation
Drug-induced evocation of extrapyramidal symptoms, akathisia and dystonia, in patients with schizophrenia was more severe at night compared to the morning hours.
“Drug-induced evocation of extrapyramidal symptoms, akathisia and dystonia, in patients with schizophrenia was more severe at night compared to the morning hours36.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [36] Torner, C., Herrera-Estrella, M., Gutierrez, J. A. & Aguilar-Roblero, R. Diurnal variations of extrapyramidal symptoms induced by haloperidol in schizophrenic subjects. Int. J. Neuropsychopharmacol. 6, 243–246 (2003). source
Not checked in the free run.
- Interpretationcitation
The most significant associations represent common chronic disease phenotypes that have been associated with circadian disruption.
“Here, the most significant associations represent common chronic disease phenotypes that have been associated with circadian disruption6,27.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] Fitzgerald, G. A., Yang, G., Paschos, G. K., Liang, X. & Skarke, C. Molecular clocks and the human condition: approaching their characterization in human physiology and disease. Diabetes Obes. Metab. 17, 139–142 (2015). source
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- cites [27] Fishbein, A. B., Knutson, K. L. & Zee, P. C. Circadian disruption and human health. J. Clin. Invest. 131, e148286 (2021). source
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- Premisecitation
The ensuing peripheral vascular disease and neuropathy impair thermoregulation specifically at night.
“The ensuing peripheral vascular disease and neuropathy impair thermoregulation specifically at night32,33.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
- cites [33] Barone, M. T. U., Goncalves, B. & Menna-Barreto, L. Peripheral body temperature impairment in individuals with type 1 diabetes mellitus. Sleep. Sci. 11, 137–140 (2018). source
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- Interpretationcitation
In Parkinson's, the peripheral temperature trace is likely altered by episodic hyperhidrosis particularly in the dysautonomic subtype.
“In Parkinson’s, the peripheral temperature trace is likely altered by episodic hyperhidrosis39 particularly in the dysautonomic subtype42.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [39] Coon, E. A. & Low, P. A. Thermoregulation in Parkinson disease. Handb. Clin. Neurol. 157, 715–725 (2018). source
Not checked in the free run.
- cites [42] van Wamelen, D. J. et al. Exploring hyperhidrosis and related thermoregulatory symptoms as a possible clinical identifier for the dysautonomic subtype of Parkinson’s disease. J. Neurol. 266, 1736–1742 (2019). source
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- Interpretationcitation
The association with lipid metabolism is consistent with the link to metabolic syndrome.
“consistent with the link to metabolic syndrome34.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Zimmet, P. et al. The circadian syndrome: is the metabolic syndrome and much more! J. Intern. Med. 286, 181–191 (2019). source
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- Study design and conductreasoning
BMI as a covariate served as an incomplete control because its measurement preceded actigraphy by about five years.
“Although we included BMI as a covariate in the models, its measurement preceded actigraphy by about five years, so it served as an incomplete control.”
Quote in the paperNot a substantial claim - Premisecitation
Skin temperature measurements did not correlate with ambient temperature readings from a second device placed nearby on participants' external clothing.
“Further support comes from a study where the skin temperature measurements did not correlate with ambient temperature readings from a second device placed nearby on the participants’ external clothing, suggesting that a device worn on the wrist sufficiently captures the biological signal and is little contaminated by ambient temperature32.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
- Premisecitation
Lifespan was increased in transgenic mice by 12% in males and 20% in females with strengthened temperature amplitudes.
“For example, lifespan was increased in transgenic mice by 12% in males and 20% in females with strengthened temperature amplitudes58.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Conti, B. et al. Transgenic mice with a reduced core body temperature have an increased life span. Science 314, 825–828 (2006). source
Not checked in the free run.
- Interpretationown data
Peripheral thermoregulation may serve as a digital biomarker.
“suggesting peripheral thermoregulation as a digital biomarker.”
Quote in the paperNot a substantial claim- Rests on an assumption: Disease phenotypes derived from in-patient hospital diagnostic codes accurately reflect disease onset and presence.
- Rests on an assumption: The one-year lag period is sufficient to exclude prevalent disease cases.
- Study design and conductown data
Results were consistent within two sub cohorts.
“We further validated that the results were consistent within two sub cohorts.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 40
- May combine two claims. 30
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningMortality associations were not consistently significant among sub cohorts, possibly driven by lower death counts or covariates such as recruitment center.
“Interestingly, mortality associations were not consistently significant among sub cohorts (see Methods), possibly driven by lower death counts or covariates such as recruitment center.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTrends for sex-dependent differences emerged for several disease phenotypes: hernias, degenerative joint diseases, reflux esophagitis and colorectal cancer showed a weak interaction between sex and wrist temperature amplitude (p < 0.05); however, there was insufficient power to overcome correction for multiple testing (q > 0.5 for all PheCODEs).
“Trends for sex-dependent differences emerged for several disease phenotypes. Hernias, degenerative joint diseases, reflux esophagitis and colorectal cancer showed a weak interaction between sex and wrist temperature amplitude (p < 0.05); however, to the extent that these are real, there was insufficient power to overcome correction for multiple testing (q > 0.5 for all PheCODEs).”
Quote in the paperNot a substantial claim- Rests on an assumption: The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
- Rests on an assumption: A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
- Rests on an assumption: Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
May combine two claims.
FindingcitationThe accelerometry trace in Parkinson's patients indicated lower diurnal variation and physical activity, an observation associated with elevated risk of disease.
“The accelerometry trace in Parkinson’s patients indicated lower diurnal variation and physical activity (Supplementary Fig. 3), an observation associated with elevated risk of disease43.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [43] Xu, Q. et al. Physical activities and future risk of Parkinson disease. Neurology 75, 341–348 (2010). source
Not checked in the free run.
May combine two claims.
Findingown dataNo phenotypes displayed significant differences by sex or by age after correction for multiple testing (q ≥ 0.48 for all phenotypes).
“No phenotypes displayed significant differences by sex or by age after correction for multiple testing (q ≥ 0.48 for all phenotypes).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOnly 2 individuals out of 92,322 exceeded the 10 degrees Celsius threshold and were dropped; only 28 exceeded 6 degrees Celsius, indicating non-physiological effects are likely not a large influence.
“Anyone with a reported temperature amplitude above 10 degrees Celsius was dropped as being non-physiological. Only 2 individuals (out of 92,322) exceeded this threshold and were dropped from further analysis. Furthermore, only 28 subjects exceed a more stringent threshold of 6 degrees Celsius, indicating that non-physiological effects are likely not a large influence.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCosinor amplitude of temperature measures are robust and show little device-specific bias.
“However, the cosinor amplitude of temperature measures are robust and show little device-specific bias, Supplementary Fig. 4c.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn a small set of subjects recalled for imaging at around the same time as actigraphy, about 95% of females were post-menopausal.
“In a small set of subjects recalled for imaging at around the same time as the actigraphy was taken, about 95% of females were post-menopausal.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDevice ID clusters were identified with distinctly different values; clusters were associated with season of measurement but not with sex, BMI, birth year, or Townsend deprivation index.
“We identified three “clusters” of device ids with distinctly different values reported, Supplementary Fig. 4 top.”
- Also stated in: § Wrist temperature · plain
“We observed that these clusters were associated with season of measurement but not with other covariates such as sex, BMI, birth year, or Townsend deprivation index.”
Quote in the paperNot a substantial claim- Also stated in: § Wrist temperature · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataA total of 451,994 distinct patient diagnoses and 3,061 deaths were recorded among participants at data download.
“A total of 451,994 distinct patient diagnoses (mean 4.9 per participant) and 3,061 deaths (3.3%) were recorded among these participants at the time of data download on February 23, 2022 (Fig. 1a).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMean temperature shows strong device-specific bias, indicating a lack of temperature-sensor calibration.
“The mean temperature shows strong device-specific bias, Supplementary Fig. 4c, indicating a lack of temperature-sensor calibration.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe overall correlation between physical activity and wrist temperature was weak (Spearman r = 0.21), indicating temperature is a distinct measure despite being recorded from the same device as motion.
“The overall correlation between physical activity and wrist temperature was weak (Spearman r = 0.21), indicating that temperature is a distinct measure despite being recorded from the same device as motion.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll-cause mortality had p = 0.4 in cohort B + C, but showed consistent effect direction (HR = 0.031 per degree C decrease, n = 911 deaths) with the full cohort and cohort A.
“Notably, all-cause mortality had p = 0.4 in the cohort B + C, though it showed consistent effect direction (HR = 0.031 per degree C decrease, n = 911 deaths) with the full cohort and cohort A.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEssential hypertension had hazard ratios of 1.23 (1.17-1.3) in the full cohort, 1.22 (1.14-1.30) in sub cohort A, and 1.26 (1.15-1.38) in sub-cohort B + C.
“For example, essential hypertension has HR of 1.23 (1.17–1.3 95% CI) in the full cohort, 1.22 (1.14–1.30) in sub cohort A and 1.26 (1.15–1.38) in sub-cohort B + C.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductcitationThe UK Biobank collected 7 days of actigraphy from 103,688 participants, with 91,462 participants passing quality control and having all covariates.
“The UKBB collected 7 days of actigraphy from 103,688 participants (Fig. 1)20, with 91,462 participants passing quality control and having all covariates.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] Doherty, A. et al. Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLoS ONE 12, e0169649 (2017). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe role biorhythms play as biomarkers for disease onset is less well understood.
“The role biorhythms play as biomarkers for disease onset is less well understood6.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Fitzgerald, G. A., Yang, G., Paschos, G. K., Liang, X. & Skarke, C. Molecular clocks and the human condition: approaching their characterization in human physiology and disease. Diabetes Obes. Metab. 17, 139–142 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe wrist temperature shape has been described as running phase-advanced or inverse (anti-phase) to core body temperature and to activity.
“This shape has been described as running phase-advanced or inverse (anti-phase) to the core body temperature21 and to activity (Supplementary Fig. 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Krauchi, K. & Wirz-Justice, A. Circadian rhythm of heat production, heart rate, and skin and core temperature under unmasking conditions in men. Am. J. Physiol. 267, R819–R829 (1994).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe relationship of cooling down the body core temperature by peripheral vasodilation resulting in heat loss has been proposed as a thermoregulatory mechanism to induce sleep.
“The relationship of cooling down the body core temperature by peripheral vasodilation resulting in heat loss has been proposed as a thermoregulatory mechanism to induce sleep22.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] Raymann, R. J., Swaab, D. F. & Van Someren, E. J. Cutaneous warming promotes sleep onset. Am. J. Physiol. Regul. Integr. Comp. Physiol. 288, R1589–R1597 (2005). source
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May combine two claims.
PremisecitationRoughly 3.5 °C of the peak-to-trough oscillations are driven by the circadian clock, and the remainder of about 1.5-2 °C is likely driven by behavioral and environmental components.
“Roughly 3.5 °C of these peak-to-through oscillations are driven by the circadian clock21, the remainder of about 1.5–2 °C is likely driven by behavioral and environmental components.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Krauchi, K. & Wirz-Justice, A. Circadian rhythm of heat production, heart rate, and skin and core temperature under unmasking conditions in men. Am. J. Physiol. 267, R819–R829 (1994).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationShift work reduces the amplitude of temperature rhythms.
“Shift work reduces the amplitude of temperature rhythms14”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Jang, T. W. et al. Circadian rhythm of wrist temperature among shift workers in South Korea: a prospective observational study. Int. J. Environ. Res. Public Health 14, 1109 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDisruption of temperature rhythms has been strongly associated with sleep-disordered breathing.
“as well as sleep-disordered breathing16.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [16] Martinez-Nicolas, A. et al. Circadian impairment of distal skin temperature rhythm in patients with sleep-disordered breathing: the effect of CPAP. Sleep 40, zsx067 (2017). source
Not checked in the free run.
The quote only partly states this claim.
InterpretationcitationThe association between low wrist temperature amplitude and NAFLD corroborates the known loss in diurnal variance of distal skin temperature in cohorts of patients with liver cirrhosis compared to controls.
“This corroborates the known loss in diurnal variance of distal skin temperature in cohorts of patients with liver cirrhosis compared to controls28.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] Garrido, M. et al. Abnormalities in the 24-hour rhythm of skin temperature in cirrhosis: sleep-wake and general clinical implications. Liver Int. 37, 1833–1842 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDiurnal variation in dopamine neurotransmission is well known with evidence for functional consequences.
“Diurnal variation in dopamine neurotransmission is well known35 with evidence for functional consequences.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Ferris, M. J. et al. Dopamine transporters govern diurnal variation in extracellular dopamine tone. Proc. Natl Acad. Sci. USA 111, E2751–E2759 (2014). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOnset of diabetes has long been associated with circadian clock disruption.
“Onset of diabetes has long been associated with circadian clock disruption31.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Stenvers, D. J., Scheer, F., Schrauwen, P., la Fleur, S. E. & Kalsbeek, A. Circadian clocks and insulin resistance. Nat. Rev. Endocrinol. 15, 75–89 (2019). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenTo exclude participants with subclinical disease at the time of actigraphy, enrollment was limited to those whose first recorded diagnostic event was at least one year after actigraphy.
“To exclude participants with subclinical disease at the time of actigraphy, we limited enrollment to those participants whose first recorded diagnostic event was at least one year after their actigraphy assay.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe resulting reduction in the distal temperature amplitude has been observed in diabetic patients before polyneuropathy manifested, suggesting that altered peripheral temperature rhythms identify patients early at risk of disease progression.
“The resulting reduction in the distal temperature amplitude has been observed in diabetic patients before polyneuropathy manifested32, suggesting that altered peripheral temperature rhythms identify patients early at risk of disease progression.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPsychiatric disorders are commonly associated with altered circadian rhythms.
“Psychiatric disorders are commonly associated with altered circadian rhythms38.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Walker, W. H. 2nd, Walton, J. C., DeVries, A. C. & Nelson, R. J. Circadian rhythm disruption and mental health. Transl. Psychiatry 10, 28 (2020).
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenBy introducing a latency period of one year, we eliminated potentially undiagnosed mild or subclinical disease conditions present during the monitoring period which might have had a dampening effect on the temperature rhythms.
“By introducing a latency period of one year, we eliminated potentially undiagnosed mild or subclinical disease conditions present during the monitoring period which might have had a dampening effect on the temperature rhythms.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataAge, fitted as a linear relationship with the outcome, was controlled in the mortality model.
“Age, fitted as a linear relationship with the outcome, was controlled in that model.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationBoth Parkinson's disease and Raynaud's syndrome are marked by impaired thermoregulation, linked in Parkinson's to alpha-synuclein pathology in the CNS and in Raynaud's to sympathetic nervous system and α2C adrenoreceptor dysregulation in the small blood vessels of the digits.
“However, both of these diseases are marked by impaired thermoregulation39,40, linked in Parkinson’s to alpha-synuclein pathology in the CNS40 and in Raynaud’s to sympathetic nervous system and α2C adrenoreceptor dysregulation in the small blood vessels of the digits41.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [39] Coon, E. A. & Low, P. A. Thermoregulation in Parkinson disease. Handb. Clin. Neurol. 157, 715–725 (2018). source
Not checked in the free run.
- cites [40] Greenstein, D., Gupta, N. K., Martin, P., Walker, D. R. & Kester, R. C. Impaired thermoregulation in Raynaud’s phenomenon. Angiology 46, 603–611 (1995). source
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- cites [41] Fardoun, M. M., Nassif, J., Issa, K., Baydoun, E. & Eid, A. H. Raynaud’s phenomenon: a brief review of the underlying mechanisms. Front Pharm. 7, 438 (2016). source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe distal-proximal temperature gradient indicative of heat dissipation is blunted, which contributes to the highly prevalent sleep disruptions reported for cirrhotic patients.
“Consequently, the distal-proximal temperature gradient indicative of heat dissipation is blunted, which contributes to the highly prevalent sleep disruptions reported for cirrhotic patients29, among other proposed mechanisms such as displaced melatonin secretion30.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [29] Cordoba, J. et al. High prevalence of sleep disturbance in cirrhosis. Hepatology 27, 339–345 (1998). source
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- cites [30] Steindl, P. E. et al. Disruption of the diurnal rhythm of plasma melatonin in cirrhosis. Ann. Intern. Med. 123, 274–277 (1995). source
Not checked in the free run.
May combine two claims.
InterpretationcitationThe relationship between wrist temperature and extrapyramidal disease is likely modulated by the high degree of inter-individual variability in dopamine D2 receptor density, which, with its role in central thermoregulation, may lead to the high association of wrist temperature for susceptibility to extrapyramidal disease.
“This relationship is likely modulated by the high degree of inter-individual variability in dopamine D2 receptor density37, which, with its role in central thermoregulation, may lead to the high association of wrist temperature for susceptibility to extrapyramidal disease.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [37] Farde, L., Hall, H., Pauli, S. & Halldin, C. Variability in D2-dopamine receptor density and affinity: a PET study with [11C]raclopride in man. Synapse 20, 200–208 (1995). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMenstrual phases modulate peripheral temperature readings.
“Menstrual phases modulate peripheral temperature readings60, but the lack of contraceptive or menstrual cycle phase data precluded any further analyses.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [60] Baker, F. C., Siboza, F. & Fuller, A. Temperature regulation in women: effects of the menstrual cycle. Temperature 7, 226–262 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThermogenic and heat-dissipative processes modulate the set point throughout the course of 24 hours typically resulting in peak core temperatures in the afternoon with the nadir reached at the end of the sleeping phase.
“Thermogenic and heat-dissipative processes modulate the set point throughout the course of 24 hours typically resulting in peak core temperatures in the afternoon with the nadir reached at the end of the sleeping phase11.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationreasoningAs this relationship is driven by circadian, sleep-wake behavior and environmental components, interventions may target different aspects.
“As this relationship is driven by circadian, sleep-wake behavior and environmental components, interventions may target different aspects.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA device worn on the wrist sufficiently captures the biological signal and is little contaminated by ambient temperature.
“suggesting that a device worn on the wrist sufficiently captures the biological signal and is little contaminated by ambient temperature32”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataTemperature amplitude was corrected by multiplicative scaling of each cluster to equalize medians.
“The temperature amplitude was corrected by a multiplicative scaling of each cluster such that the median of each cluster was set to be equal to the overall median.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataRepeated measurements across seasons were collected for 3197 participants and leveraged to account for seasonality and determine variance of temperature amplitudes.
“In addition, repeated measurements across seasons were collected for 3197 participants. This data is available but has not yet been reported on in detail. We leveraged these repeated datasets to account for seasonality across participants and to determine the variance of temperature amplitudes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataA Cox proportional hazards model was performed for each PheCODE with at least 200 cases, based on a power analysis to establish a 0.2 log hazard ratio effect at 80% power.
“A Cox proportional hazards model was performed for each PheCODE with ≥200 cases, based on a power analysis performed via simulation to establish a 0.2 log (hazard ratio) effect size at 80% power.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTemperature-dependent polyadenylation through RBM3, a cold-inducible RNA-binding protein, has been suggested to contribute to cell reprogramming during a stress response.
“Temperature-dependent polyadenylation through RBM3, a cold-inducible RNA-binding protein, has been suggested to contribute to cell reprogramming during a stress response55,56.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [55] Ki, Y. et al. Warming up your tick-tock: temperature-dependent regulation of circadian clocks. Neuroscientist 21, 503–518 (2015). source
Not checked in the free run.
- cites [56] Liu, Y. et al. Cold-induced RNA-binding proteins regulate circadian gene expression by controlling alternative polyadenylation. Sci. Rep. 3, 2054 (2013).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn a mouse model, about 10% of rhythmically expressed liver genes were not under control of hepatocyte clocks but instead relied on oscillatory systemic signals.
“This was suggested in a mouse model, engineered to differentiate between central and peripheral entrainment cues, where the authors showed that about 10% of rhythmically expressed liver genes were not under control of hepatocyte clocks but instead relied on oscillatory systemic signals54.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Kornmann, B., Schaad, O., Bujard, H., Takahashi, J. S. & Schibler, U. System-driven and oscillator-dependent circadian transcription in mice with a conditionally active liver clock. PLoS Biol. 5, e34 (2007). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOverexpression of uncoupling protein 2 in hypocretin neurons (Hcrt-UCP2) of these animals reduced core body temperature by 0.3-0.5 °C accompanied by a presumable increase in peripheral temperature through the coupling of core and periphery in the thermoregulatory sleep model.
“And overexpression of uncoupling protein 2 in hypocretin neurons (Hcrt-UCP2) of these animals reduced core body temperature by 0.3–0.5 °C accompanied (though this was not measured) by a presumable increase in peripheral temperature through the coupling of core and periphery in the thermoregulatory sleep model10.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Krauchi, K. The human sleep-wake cycle reconsidered from a thermoregulatory point of view. Physiol. Behav. 90, 236–245 (2007). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenDisease phenotypes are collected from in-patient hospital diagnostic codes.
“A second limitation is that disease phenotypes are collected from in-patient hospital diagnostic codes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningSome phenotypes may be recorded significantly later than actual disease onset and others may be missed from the dataset entirely.
“Therefore, some phenotypes may be recorded significantly later than actual disease onset and others may be missed from the dataset entirely.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataA complete-case analysis was performed on 91,462 subjects with complete data.
“A complete-case analysis was performed on 91,462 subjects with complete data (Fig. 1b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataLack of contraceptive or menstrual cycle phase data precluded further analyses.
“but the lack of contraceptive or menstrual cycle phase data precluded any further analyses.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataA further 873 subjects were excluded for missing covariate data, leaving 91,462 with no missing data selected for analysis.
“A further n = 873 subjects were excluded for missing data from the covariates for a total of 91,462 with no missing data who were thus selected for analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCore and peripheral body temperature are inversely coupled to regulate body temperature by balancing heat production and loss.
“Core and peripheral body temperature are inversely coupled to regulate body temperature by balancing heat production and loss10,11.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [10] Krauchi, K. The human sleep-wake cycle reconsidered from a thermoregulatory point of view. Physiol. Behav. 90, 236–245 (2007). source
Not checked in the free run.
- cites [11] Sarabia, J. A., Rol, M. A., Mendiola, P. & Madrid, J. A. Circadian rhythm of wrist temperature in normal-living subjects A candidate of new index of the circadian system. Physiol. Behav. 95, 570–580 (2008). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe circadian aspect of thermoregulation is achieved through diurnal oscillations of the temperature set point in the hypothalamic preoptic area and controlled by the 'master' clock in the suprachiasmatic nucleus (SCN).
“The circadian aspect of thermoregulation is achieved through diurnal oscillations of the temperature set point in the hypothalamic preoptic area and controlled by the ‘master’ clock in the suprachiasmatic nucleus (SCN)53.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [53] Krauchi, K. The thermophysiological cascade leading to sleep initiation in relation to phase of entrainment. Sleep. Med. Rev. 11, 439–451 (2007). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningExcluding subjects according to prior diagnoses of any related disease partially corrected for phenotype misclassification.
“This was partially corrected for by excluding subjects according to prior diagnoses of any related disease, derived from including self-reported medical conditions at the initial assessment.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationTemperature traces in the UK Biobank study capture biological signal compellingly and agree with field studies.
“Our results indicate that the temperature traces in the UKBB study capture biological signal compellingly and agree with field studies13,23,32.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [13] Bonmati-Carrion, M. A. et al. Circadian phase assessment by ambulatory monitoring in humans: correlation with dim light melatonin onset. Chronobiol. Int. 31, 37–51 (2014). source
Not checked in the free run.
- cites [23] Capella, M. D. M., Martinez-Nicolas, A. & Adan, A. Circadian rhythmic characteristics in men with substance use disorder under treatment. influence of age of onset of substance use and duration of abstinence. Front. Psychiatry 9, 373 (2018). source
Not checked in the free run.
- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenCosine curves do not capture the exact shape of diurnal wrist temperature variation.
“Lastly, since cosine curves do not capture the exact shape of diurnal wrist temperature variation, future approaches could include using higher harmonic terms61 or highly flexible approaches such as functional principal component analysis62.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThese oscillatory temperature cues are likely picked up in the periphery to entrain, for example, sets of hepatic gene transcripts independent of peripheral liver clocks.
“These oscillatory temperature cues are likely picked up in the periphery to entrain, for example, sets of hepatic gene transcripts independent of peripheral liver clocks54.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Kornmann, B., Schaad, O., Bujard, H., Takahashi, J. S. & Schibler, U. System-driven and oscillator-dependent circadian transcription in mice with a conditionally active liver clock. PLoS Biol. 5, e34 (2007). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationReported temperature values match those used in a prior thorough investigation which corrected a flaw in earlier processing pipelines.
“This makes our reported values match those used in a prior, thorough investigation of these temperature values17 which corrected a flaw in earlier processing pipelines.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Kennard, H. R., Huebner, G. M., Shipworth, D. & Oreszczyn, T. The associations between thermal variety and health: Implications for space heating energy use. PLoS ONE 15, e0236116 (2020). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataDiagnosis events were assessed starting one year after actigraphy, with a mean follow-up time of 5.9 years.
“Diagnosis events were assessed in subjects starting one year after actigraphy, for a mean follow-up time of 5.9 years (4.8–7.3 min-max), see Figure1a.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationA total of 92,325 participants passed quality control after exclusions based on failed calibration, insufficient data, or crossing over daylight savings time.
“A total of 92,325 participants passed quality control after exclusions based on failed calibration (n = 2826), insufficient data (n = 4258) or crossing over daylight savings time (n = 4279), following prior experiments7,8,20.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [7] Ferguson, A. et al. Genome-Wide Association Study of Circadian Rhythmicity in 71,500 UK Biobank Participants and Polygenic Association with Mood Instability. EBioMedicine 35, 279–287 (2018). source
Not checked in the free run.
- cites [8] Lyall, L. M. et al. Association of disrupted circadian rhythmicity with mood disorders, subjective wellbeing, and cognitive function: a cross-sectional study of 91 105 participants from the UK Biobank. Lancet Psychiatry 5, 507–514 (2018). source
Not checked in the free run.
- cites [20] Doherty, A. et al. Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study. PLoS ONE 12, e0169649 (2017). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.
InterpretationcitationAn explanation for some of the strong associations observed in this study might be that small amplitude temperature rhythms diminish thermosensitive gene regulation, which in combination with disease-specific perturbations, like those observed for diabetic neuropathy, lead to the emergence of specific disease phenotypes.
“An explanation for some of the strong associations observed in this study might be that small amplitude temperature rhythms diminish thermosensitive gene regulation, which in combination with disease-specific perturbations, like those observed for diabetic neuropathy,32,33 lead to the emergence of specific disease phenotypes.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [32] Rutkove, S. B. et al. Impaired distal thermoregulation in diabetes and diabetic polyneuropathy. Diabetes Care 32, 671–676 (2009). source
Not checked in the free run.
- cites [33] Barone, M. T. U., Goncalves, B. & Menna-Barreto, L. Peripheral body temperature impairment in individuals with type 1 diabetes mellitus. Sleep. Sci. 11, 137–140 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCosinor fits have been validated for use in measuring rhythms in both distal skin temperature and core body temperature.
“Cosinor fits have been validated for use in measuring rhythms in both distal skin temperature and core body temperature14,67.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Jang, T. W. et al. Circadian rhythm of wrist temperature among shift workers in South Korea: a prospective observational study. Int. J. Environ. Res. Public Health 14, 1109 (2017). source
Not checked in the free run.
- cites [67] Culver, A. et al. Circadian disruption of core body temperature in trauma patients: a single-center retrospective observational study. J. Intensive Care 8, 4 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAll covariates were assessed at initial enrollment, a mean of 5.7 years before actigraphy collection.
“All covariates were assessed at initial enrollment in the UKBB, which had a mean of 5.7 (2.8–8.7 min-max) years before actigraphy collection.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataModel assumptions were assessed, and results were confirmed to show only small changes in hazard ratios of wrist temperature amplitude after time-interaction, spline, and competing-risk models.
“All results were confirmed to show only small changes in hazard ratios of the wrist temperature amplitude compared to the original model (see Supplementary Data 2).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningP-values were adjusted as Benjamini-Hochberg q-values to control the false discovery rate.
“To control for the large number of statistical tests performed, p-values have been adjusted where appropriate as Benjamini-Hochberg q-values to control the false discovery rate.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The covariates included in the Cox proportional hazards models adequately control for confounding by sleep, ambient temperature, food intake, and other factors that modulate wrist temperature.
“This wrist temperature signal was clearly discernable despite it being modulated (masked) by sleep, ambient temperature conditions, food intake and other confounders.”
“with 91,462 participants passing quality control and having all covariates.”
The paper relies on this without support.
A one-year latency period is sufficient to exclude participants with subclinical disease at the time of actigraphy.
“To exclude participants with subclinical disease at the time of actigraphy, we limited enrollment to those participants whose first recorded diagnostic event was at least one year after their actigraphy assay.”
The paper relies on this without support.
Seven days of wrist temperature recording reliably estimates habitual diurnal temperature amplitude.
“The UKBB collected 7 days of actigraphy from 103,688 participants (Fig. 1)20”
The paper relies on this without support.
The UK Biobank cohort is representative enough for the associations to generalize to the general population.
“Among 425 disease conditions (range n = 200-6728) compared to controls (range n = 62,107-91,134), a total of 73 (17%) disease phenotypes were significantly associated with decreased amplitudes of wrist temperature”
The paper relies on this without support.
Disease phenotypes derived from in-patient hospital diagnostic codes accurately reflect disease onset and presence.
“A second limitation is that disease phenotypes are collected from in-patient hospital diagnostic codes. Therefore, some phenotypes may be recorded significantly later than actual disease onset and others may be missed from the dataset entirely.”
The paper relies on this without support.
The one-year lag period is sufficient to exclude prevalent disease cases.
“Diagnosis events were assessed in subjects starting one year after actigraphy”
“All subjects meeting any of the exclusion diagnoses for a phenotype at the end of the one-year lag period (i.e., one year after actigraphy) were excluded from the analysis of that phenotype as likely or potential prior cases.”
The paper relies on this without support.
The PheCODE exclusion criteria correctly identify prior cases of the phenotype.
“The PheCODE Map provides, for each phenotype, exclusion criteria denoting similar conditions that may indicate likelihood of undiagnosed patients of the phenotype under consideration.”
The paper relies on this without support.
Complete-case analysis does not introduce bias.
“A further n = 873 subjects were excluded for missing data from the covariates for a total of 91,462 with no missing data who were thus selected for analysis.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Neither prior literature was able to test their efficacy in large, real-world cohorts representing a practical assessment.
“Though interesting, neither literature was able to test their efficacy in large, real-world cohorts representing a practical assessment.”
From Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis (2026) · cites this paper as [38]
The Methods (Actigraphy in the UK Biobank; Proportional hazards models) describe an analysis of 91,462 UK Biobank participants, directly contrary to the claim that this work did not assess its approach in a large, real-world cohort. The paper tests associations between wrist-temperature rhythms and future disease, rather than the efficacy of an intervention. (LLM, conf=0.84)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredDiurnal features of distal and core body temperature are associated with future disease risk for a breadth of conditions, including Type 2 Diabetes.
“Diurnal features of distal and core body temperature have been central to analyses of circadian rhythm33,34; studied as measures for fever, depression, muscular work33,35–37; and revealed to be associated with future disease risk for a breadth of conditions (including Type 2 Diabetes) in a study of the UKBioBank38.”
From Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis (2026) · cites this paper as [38]
The Introduction reports that diurnal wrist-temperature amplitude in the UK Biobank was associated with future diagnoses across many conditions, including type 2 diabetes. The study measured peripheral wrist temperature, however; its discussion of core temperature does not establish an association between core-temperature features and future disease risk. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCommonly used features are supported by prior work to be relevant to the effects of DM.
“commonly used features supported by prior work to be relevant to the effects of DM31–33,35–38,45,49”
From Sleep and temperature data from wearable devices support noninvasive detection of diabetes mellitus in a large-scale, retrospective analysis (2026) · cites this paper as [38]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Table describes nonsignificant phenotypes as significant
MinorThe Table 1 note calls its twelve listed effect sizes significant, but the figure caption explicitly says two listed phenotypes, anxiety disorders and Parkinson's disease, exceed the stated q < 0.05 threshold.
“Twelve of the largest significant effect sizes are shown, as hazard ratios comparing mean to two standard deviations (SD) below”
“Anxiety disorders and Parkinson’s disease are slightly above the q < 0.05 threshold, at q = 0.20 and 0.11, respectively.”
Mortality model age specification conflicts with the stated model
MinorThe mortality result says age was fitted linearly, but Methods says survival analysis used the same model specified with categorical age bands.
“Age, fitted as a linear relationship with the outcome, was controlled in that model.”
“age at the time of actigraphy measure (40-55/55-60/60-65/65-70/70-80), BMI at assessment (continuous),”
Subcohort mortality hazard ratio reverses the reported direction
MinorAn HR of 0.031 per degree Celsius decrease indicates lower mortality risk with lower amplitude, whereas the full-cohort result reports increased mortality risk with lower amplitude. The statement that the effect direction is consistent therefore conflicts with the reported HR.
“though it showed consistent effect direction (HR = 0.031 per degree C decrease, n = 911 deaths) with the full cohort and cohort A.”
“subjects with lower amplitude had increased risk of all-cause mortality (p = 0.002, n = 3061 deaths HR = 1.14 [1.04–1.23, 95% CI] for a 2 SD decrease in amplitude).”
The citation lists haven’t been fetched yet
References 91 · Cited by 57
- Authors
- Brooks, T. G., Lahens, N. F., Grant, G. R., Sheline, Y. I., FitzGerald, G. A., & Skarke, C.
- Affiliations
- University of Pennsylvania (US)
- Corresponding author
- Brooks, Thomas G.
- Skarke, Carsten
- ORCID
- Venue
- Nature Communications
- Published
- 2023-08-24
- Volume
- 14
- Issue
- 1
- Pages
- 5172-5172
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10449859
- OpenAlex
- W4386135039
- Semantic Scholar
- 6bdf92861cd7e14d57fae2213be92625ef7d7656
- Cited by
- 57
- References
- 91
- Citations by year
- 2026: 18 · 2025: 19 · 2024: 16 · 2023: 4
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- American Heart Association (17MERIT33560013)
- Robert L. McNeil Jr. Fellow in Translational Medicine and Therapeutics
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Keywords
- wrist temperature, diurnal cycle, circadian rhythm, disease risk prediction, actigraphy, digital biomarkers, non-alcoholic fatty liver disease, type 2 diabetes, renal failure, hypertension, pneumonia, UK Biobank
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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