# Health risk assessment

Wearable data provides continuous, real-time insights into an individual's sleep patterns and overall health status, offering a more comprehensive view than traditional methods. By leveraging this data, Thryve can accurately assess health risks on the population level, enhancing preventative care strategies.

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Designed for population health screening and wellness monitoring, not diagnostic use.
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## Sleep-based health risk assessment

This risk assessment translates a commonly underutilized health signal, sleep, into a tangible risk-scoring model. Built on a foundation of large-scale epidemiological research and real-world wearable data, the calculated metric tells a deeper story about your user's metabolic, cardiovascular, cognitive, and emotional resilience. Our models take these patterns and calculate individualized risk levels for a variety of health outcomes.

#### Input Data

* Thryve Foundational Sleep Analysis & Health Status Assessment

#### Output Data

<table><thead><tr><th width="147.6163330078125">dataDimension<select><option value="xnm7WCENx3uo" label="daily" color="blue"></option></select></th><th width="126.470458984375">dataTypeId</th><th width="224.8065185546875">Name</th><th>Description</th></tr></thead><tbody><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2251</code></td><td>SleepRelatedMortalityRisk</td><td>Elevated mortality risk compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2252</code></td><td>SleepRelatedCardiovascularRisk</td><td>Elevated risk of developing cardiovascular disease compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2253</code></td><td>SleepRelatedStrokeRisk</td><td>Elevated risk of having a stroke compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2254</code></td><td>SleepRelatedMentalHealthRisk</td><td>Elevated risk of developing mental health diseases compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2255</code></td><td>SleepRelatedDementiaRisk</td><td>Elevated risk of developing dementia compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2256</code></td><td>SleepRelatedCancerRisk</td><td>Elevated risk of developing cancer compared to the standard population in percent (%).</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2257</code></td><td>SleepRelatedSickLeavePrediction</td><td>Estimated increase in sick leave days compared to the reference population.</td></tr><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>2258</code></td><td>SleepRelatedLifeExpectancyImpact</td><td>Estimated reduction in life expectancy (years lost) compared to the reference population.</td></tr></tbody></table>

## Multi-dimensional Mental Health Risk

Thryve, in collaboration with FU Berlin, has established a validated mental health risk scoring system that assesses depression risk using clinical questionnaires and behavioral health evaluations.&#x20;

<figure><img src="/files/SDbFvs20nAxbCx8tXoyC" alt="" width="188"><figcaption><p>Thryve Mental Health Risk Score implemented in coaching application</p></figcaption></figure>

By offering a detailed understanding of an individual's mental health risk, this marker allows for the creation of targeted prevention strategies, thereby enhancing early intervention efforts and improving mental wellness outcomes.

**Input Data**

* Activity data
* Sleep data
* Vital data
* 4 patient-reported answers to standardized questions&#x20;

**Output Data**

<table><thead><tr><th width="147.6163330078125">dataDimension<select><option value="xnm7WCENx3uo" label="daily" color="blue"></option></select></th><th width="126.470458984375">dataTypeId</th><th width="224.8065185546875">Name</th><th>Description</th></tr></thead><tbody><tr><td><span data-option="xnm7WCENx3uo">daily</span></td><td><code>6406</code></td><td>MentalHealthRisk</td><td><p>Binary risk assessment:<br></p><ul><li>false: No increased risk detected</li><li>true: Increased depression risk identified</li></ul></td></tr></tbody></table>


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