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Major Advances in Sleep Health Technology Mark World Sleep Day

3 min read

World Sleep Day, the annual spotlight on sleep health that promotes education, research and patient care, is being held on March 14. Withings is marking the occasion by highlighting the extensive technology development and research the company is doing to promote better sleep and more accessible sleep diagnostics.

 

Because sleep affects so many chronic conditions – from diabetes, stroke and heart disease to obesity, anxiety and depression –  higher quality sleep is one of the few areas of impact that can universally change human health for the better. 

 

That’s why the Withings team has spent its waking hours for the past several years developing and testing technology to improve global sleep quality. In September, Withings Sleep Rx was given FDA clearance as the first contactless device to aid in the diagnosis of sleep apnea, joining the Withings Sleep Analyzer, a device that is CE marked to diagnose sleep apnea in the EU. 

 

Sleep Rx and the other Withings devices that use the same hardware are being used in major sleep studies around the world. Because the devices are contactless and lay under the patient’s mattress, they enable large-scale studies that would previously have been nearly impossible to conduct. Here is just a sampling of recent research using or related to Withings sleep devices.

 

Cognitive Performance of Critical Shift Workers

Non-daytime shift workers – like nurses, firefighters, mariners, military personnel  and transit drivers – have a 60% greater risk of workplace accidents. Using Withings Sleep Analyzer, which uses the same hardware technology as Sleep Rx, researchers were able to understand the cognitive impacts of different lighting conditions to develop a model for predicting performance under varying sleep conditions and time of day of the sleep.

 

Results supported the utility of simple non-intrusive sleep monitoring via consumer sleep technology to estimate post-sleep work shift performance and safety during non-daytime shift schedules. 

 

Jack Manners, Eva Kemps, Alisha Guyett, Nicole Stuart, Bastien Lechat, Peter Catcheside, Hannah Scott. Estimating vigilance from the pre-work shift sleep using an under-mattress sleep sensor. Journal of Sleep Research, 2024.

 

How Many Nights of Sleep Data Do We Really Need?

An article in JMIR Formative Research examines how traditional sleep assessments rely on short-term tracking (3–14 days), while a six-month study using Withings’ wearables and sleep sensors suggests this may not be enough. Researchers found that seasonal variations and long-term patterns significantly impact sleep health, reinforcing the importance of continuous monitoring to gain a more accurate picture of sleep behaviors.

 

Óskarsdóttir M, Islind AS, August E, et al. Importance of getting enough sleep and daily activity data to assess variability: a longitudinal observational study. JMIR Formative Research, 2022.

 

The Future of Sleep Research: Large-Scale, Decentralized Studies

An article in Current Sleep Medicine Reports details how the growing adoption of wearable and nearable sleep tech is enabling researchers to shift toward real-world, long-term data collection. Ongoing studies using Withings technology are paving the way for remote clinical trials, enabling deeper insights into sleep disorders and their broader health impacts.

 

Jaiswal SJ, Pawelek JB, Warshawsky S, et al. Using new technologies and wearables for characterizing sleep in population-based studies. Current Sleep Medicine Reports, 2024.

 

If you are conducting research that might benefit from Withings technology, please contact us at contact-pro@withings.com.

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Withings products not only help individuals and their clinicians better monitor and understand health, but they are contributing to a wide body of research. Withings is honored that researchers are increasingly turning to our products across an impressive number of therapeutic areas. Among them are diabetic neuropathy, retinopathy, sudomotor function, hypertension, sleep quality, sleep apnea, dementia, ECG intervals in children, arrhythmias, cardiovascular autonomic neuropathy (CAN), public health monitoring, and health technology adoption.

Here’s just a sampling of the diversity and reach of Withings products in medical research this year.

An October 2024 article in Frontiers in Neuroanatomy looks at the history and technical development of electrochemical skin conductance (ESC), as measured by Withings’ Sudoscan, and compares it to other measures of skin conductance such as galvanic skin response (GSR) and electrodermal activity (EDA). ESC was developed specifically to diagnose sudomotor function as opposed to GSR/EDA which is a continuous monitoring tool. EDA is increasingly incorporated into wearable technology. While both use skin/sweat conductance, it is important to differentiate EDA which can be used for physiological and psychological measures of stress from ESC which is used to evaluate sudomotor function and diagnose neuropathy. Withings has incorporated ESC in its smart scales which show a near perfect correlation with the Sudoscan clinical device. The Withings smart scales allow for easier and more frequent individual time series data as well as large scale data collection. 

Public health surveillance has largely relied on self-reported surveys. This study applied mobile and wearable technologies to collect objective, real-time, continuous health data. Data from a variety of Withings products (Withings Sleep, Withings BPM Connect, Withings Thermo, and Withings Body+), were used to predict stress. Findings showed that a system, such as the Mobile Health Platform used here, could complement self-reported health data to better monitor and predict stress in a population.

This study compared the 1-lead ECG intervals available via the Withings ScanWatch with the standard 12-lead ECGs in children and adolescents. Smart watch intervals have previously been shown to be accurate for adults. The heart rate measure was found to be reliable for children, The automated QTc interval was less reliable but can be improved with manual measurements. It is worth noting that the study used pediatric subjects rather than adapting adult research, as is often the case.

This study of 67,254 adults showed that 30% of adults do not get the recommended 7-9 hours of sleep per night, and that even those who did average 7-9 hours, 40% of the nights fell outside the range. Only 15% of participants slept 7-9 hours for at least 5 nights per week. In addition to the findings of irregular sleep, the study highlights the usefulness of the at home Withings Sleep for large-scale and/or longitudinal sleep studies. 


As we close out a year of significant knowledge advancements, we look forward to seeing what the global healthcare research community has in store for 2025. 


If you are conducting research that might benefit from Withings technology, please contact us at contact-pro@withings.com.

Interested in partnering with us?

Contact Us [post_title] => Withings 2024 Year in Review: Research Highlights [post_excerpt] => 2024 was an exciting year for Withings. We’re honored that the global research community is increasingly turning to our solutions for studies across an impressive number of therapeutic areas. Among them are diabetic neuropathy, retinopathy, sudomotor function, hypertension, sleep quality, sleep apnea, dementia, ECG intervals in children, arrhythmias, cardiovascular autonomic neuropathy (CAN), public health monitoring, and health technology adoption. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => researchers-have-used-our-solutions-for-studies-across-an-impressive-number-of-therapeutic-areas-among-them-are-diabetic-neuropathy-retinopathy-sudomotor-function-hypertension-sleep-quality-slee [to_ping] => [pinged] => [post_modified] => 2025-01-21 20:10:56 [post_modified_gmt] => 2025-01-21 20:10:56 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=1727 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 1729 [post_author] => 11 [post_date] => 2024-12-09 16:36:44 [post_date_gmt] => 2024-12-09 16:36:44 [post_content] =>

Several new, large-scale studies1, 2, 3, 4 from the Flinders Medical Research Institute (FHMRI) in Australia found studying sleep in real-world settings over multiple nights can greatly reduce the high 30% error rate of sleep apnea diagnosis from polysomnography (PSG), the traditional, single night, in hospital gold standard technique. Using Withings Sleep Analyzer, researchers were able to easily track multiple biomarkers for participants over time revealing large variability in sleep indicators from night to night.

 

Withings under-the-mattress sleep trackers have enabled researchers to study large groups over time. The FHMRI studies tracked 67,278 and 12,287 participants respectively over a total of 11 million nights, a feat not feasible with traditional polysomnography.

 

A key finding from the study of 12,000 users is the variability in the severity of Obstructive Sleep Apnea (OSA) from night to night. The variability of OSA, independent of severity, is associated with uncontrolled hypertension which is the leading cardiovascular risk factor. Sleep Analyzer also reveals other risks associated with hypertension, such as snoring, irregular waking and sleep hours, and duration of sleep.

 

Using the same hardware technology as Withings Sleep Analyzer, Sleep Rx is a noninvasive, at home device that users place under their mattresses to gather biomarkers such as heart rate, respiratory rate, snoring, sleep cycles, and the Withings Sleep Index, a measure of breathing events per hour, which can aid in the diagnosis of sleep apnea. Using this simple device for at least 14 nights gives a much clearer picture of sleep quality.

 

The multi-night Sleep Rx data can be used to predict the right patients at the right time for in hospital PSG. Better identification of patients who most need PSG will reduce overall spending on the costly tests and ease scheduling difficulties.

 

Sleep Rx offers an inexpensive, easy to use method to better target high risk cardiovascular patients, reduce the high error rate of sleep apnea diagnosis, and efficiently gather longitudinal, large-scale sleep data for a variety of chronic diseases. For more information about the Withings Sleep Rx, click here.

References

1 Lechat, Bastien et al. “Multinight Prevalence, Variability, and Diagnostic Misclassification of Obstructive Sleep Apnea.” American journal of respiratory and critical care medicine vol. 205,5 (2022): 563-569. doi:10.1164/rccm.202107-1761OC


2 Lechat, Bastien et al. “High night-to-night variability in sleep apnea severity is associated with uncontrolled hypertension.” NPJ digital medicine vol. 6,1 57. 30 Mar. 2023, doi:10.1038/s41746-023-00801-2

3 Lechat, Bastien et al. “Regular snoring is associated with uncontrolled hypertension.” NPJ digital medicine vol. 7,1 38. 17 Feb. 2024, doi:10.1038/s41746-024-01026-7

4 Scott, Hannah et al. “Sleep Irregularity Is Associated With Hypertension: Findings From Over 2 Million Nights With a Large Global Population Sample.” Hypertension (Dallas, Tex. : 1979) vol. 80,5 (2023): 1117-1126. doi:10.1161/HYPERTENSIONAHA.122.20513

Interested in partnering with us?

Contact Us [post_title] => Sleep Apnea Data from Multiple Nights is Key to Predicting Hypertension and Cardiovascular Risk [post_excerpt] => New large-scale, longitudinal studies show that monitoring sleep for at least 14 nights at home with a connected sleep tracking mat, can reduce the 30% high error rate of sleep apnea diagnosis from the usual single-night, in hospital polysomnography (PSG) technique. This technology can identify which patients most need expensive, intrusive, and difficult to access PSG. Longitudinal data also detects variability of Obstructive Sleep Apnea from night to night which is associated with hypertension [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => sleep-apnea-data-from-multiple-nights-is-key-to-predicting-hypertension-and-cardiovascular-risk [to_ping] => [pinged] => [post_modified] => 2024-12-10 18:14:34 [post_modified_gmt] => 2024-12-10 18:14:34 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=1729 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 2 [current_post] => -1 [before_loop] => 1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 1727 [post_author] => 11 [post_date] => 2024-12-09 16:36:58 [post_date_gmt] => 2024-12-09 16:36:58 [post_content] =>

Withings products not only help individuals and their clinicians better monitor and understand health, but they are contributing to a wide body of research. Withings is honored that researchers are increasingly turning to our products across an impressive number of therapeutic areas. Among them are diabetic neuropathy, retinopathy, sudomotor function, hypertension, sleep quality, sleep apnea, dementia, ECG intervals in children, arrhythmias, cardiovascular autonomic neuropathy (CAN), public health monitoring, and health technology adoption.

Here’s just a sampling of the diversity and reach of Withings products in medical research this year.

An October 2024 article in Frontiers in Neuroanatomy looks at the history and technical development of electrochemical skin conductance (ESC), as measured by Withings’ Sudoscan, and compares it to other measures of skin conductance such as galvanic skin response (GSR) and electrodermal activity (EDA). ESC was developed specifically to diagnose sudomotor function as opposed to GSR/EDA which is a continuous monitoring tool. EDA is increasingly incorporated into wearable technology. While both use skin/sweat conductance, it is important to differentiate EDA which can be used for physiological and psychological measures of stress from ESC which is used to evaluate sudomotor function and diagnose neuropathy. Withings has incorporated ESC in its smart scales which show a near perfect correlation with the Sudoscan clinical device. The Withings smart scales allow for easier and more frequent individual time series data as well as large scale data collection. 

Public health surveillance has largely relied on self-reported surveys. This study applied mobile and wearable technologies to collect objective, real-time, continuous health data. Data from a variety of Withings products (Withings Sleep, Withings BPM Connect, Withings Thermo, and Withings Body+), were used to predict stress. Findings showed that a system, such as the Mobile Health Platform used here, could complement self-reported health data to better monitor and predict stress in a population.

This study compared the 1-lead ECG intervals available via the Withings ScanWatch with the standard 12-lead ECGs in children and adolescents. Smart watch intervals have previously been shown to be accurate for adults. The heart rate measure was found to be reliable for children, The automated QTc interval was less reliable but can be improved with manual measurements. It is worth noting that the study used pediatric subjects rather than adapting adult research, as is often the case.

This study of 67,254 adults showed that 30% of adults do not get the recommended 7-9 hours of sleep per night, and that even those who did average 7-9 hours, 40% of the nights fell outside the range. Only 15% of participants slept 7-9 hours for at least 5 nights per week. In addition to the findings of irregular sleep, the study highlights the usefulness of the at home Withings Sleep for large-scale and/or longitudinal sleep studies. 


As we close out a year of significant knowledge advancements, we look forward to seeing what the global healthcare research community has in store for 2025. 


If you are conducting research that might benefit from Withings technology, please contact us at contact-pro@withings.com.

Interested in partnering with us?

Contact Us [post_title] => Withings 2024 Year in Review: Research Highlights [post_excerpt] => 2024 was an exciting year for Withings. We’re honored that the global research community is increasingly turning to our solutions for studies across an impressive number of therapeutic areas. Among them are diabetic neuropathy, retinopathy, sudomotor function, hypertension, sleep quality, sleep apnea, dementia, ECG intervals in children, arrhythmias, cardiovascular autonomic neuropathy (CAN), public health monitoring, and health technology adoption. [post_status] => publish [comment_status] => closed [ping_status] => closed [post_password] => [post_name] => researchers-have-used-our-solutions-for-studies-across-an-impressive-number-of-therapeutic-areas-among-them-are-diabetic-neuropathy-retinopathy-sudomotor-function-hypertension-sleep-quality-slee [to_ping] => [pinged] => [post_modified] => 2025-01-21 20:10:56 [post_modified_gmt] => 2025-01-21 20:10:56 [post_content_filtered] => [post_parent] => 0 [guid] => https://withingshealthsolutions.com/?p=1727 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 2 [max_num_pages] => 1 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => [is_tax] => [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => 1 [is_privacy_policy] => [is_404] => [is_embed] => [is_paged] => [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_favicon] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => 051a576441b5edf754cd4c3a27956c0a [query_vars_changed:WP_Query:private] => [thumbnails_cached] => [allow_query_attachment_by_filename:protected] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) )
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