Loud snoring is typically defined as snoring above 40–50 decibels, similar to normal conversation (60 dB). In sleep apnea screening, especially obstructive sleep apnea, loud snoring can signal airway obstruction. Studies show average snoring levels of 50–65 dB in OSA, with severe sleep apnea cases reaching over 90 dB. Persistent loud snoring is a key sleep apnea symptom and a major sleep apnea risk factor included in facial scan and AI screening tools.

Excessive daytime sleepiness (EDS) refers to difficulty staying awake, leading to drifting off or feeling overwhelmingly drowsy during the day. In obstructive sleep apnea, EDS is one of the most important sleep apnea symptoms, caused by sleep fragmentation from repeated apneas. This affects mood, cognition, memory, productivity, and daily functioning. The AI face scan for sleep apnea considers indicators linked to fatigue and sleep disruption when estimating your sleep apnea risk.

Observed apneas are pauses in breathing during sleep lasting 10 seconds or longer. A partner may notice you stop breathing, gasp, choke, or suddenly snort. You may wake up short of breath or with headaches, dry mouth, or unrefreshing sleep. In obstructive sleep apnea, these events can occur 5 to 30+ times per hour. These are significant signs of sleep apnea and strongly influence your sleep apnea risk score in tools like the facial scan for sleep apnea.

Men are 2–3 times more likely to develop obstructive sleep apnea than premenopausal women due to airway anatomy, fat distribution, and hormonal differences. Women’s risk increases after menopause as estrogen and progesterone decline. Gender plays a major role in sleep apnea risk assessment, which is why the OSA Facial Scan and sleep apnea AI face scan incorporate demographic risk patterns into your overall prediction score.

Obstructive sleep apnea and hypertension have a strong bidirectional relationship. OSA can worsen high blood pressure through intermittent oxygen drops and sympathetic surges during apneas. Likewise, hypertension increases the likelihood of undiagnosed sleep apnea. Managing OSA, often identified through tools like the AI facial scan for sleep apnea and confirmed by a home sleep test, can help reduce blood pressure and improve long-term cardiovascular health.

Height is needed to calculate your Body Mass Index (BMI), a crucial component in evaluating sleep apnea risk. A BMI over 35 kg/m² significantly increases the likelihood of obstructive sleep apnea by contributing to airway narrowing. BMI is a standard factor in screening tools like STOP-Bang and also helps improve the accuracy of your facial scan for sleep apnea assessment.

Weight is used along with height to compute BMI, a known risk factor for obstructive sleep apnea. Higher BMI is strongly associated with airway collapse and increased sleep apnea severity. Including this information helps the sleep apnea AI face scan generate a more accurate prediction and ensures your sleep apnea risk level is evaluated correctly before moving to a home sleep test.

Age is a major factor in determining sleep apnea risk. Individuals over 50 experience increased vulnerability to obstructive sleep apnea due to changes in airway muscle tone and overall physiology. Because age influences the accuracy of tools like the AI face scan for sleep apnea, it is an important data point in predicting your likelihood of OSA.

Some medications and medical conditions make home sleep testing inaccurate or unsafe, requiring an in-lab polysomnography instead. Opioids (morphine, codeine) may trigger central apneas. Alpha blockers (doxazosin) and short-acting nitrates (nitroglycerin) can interfere with airflow or pulse-oximetry readings. Conditions like heart failure, COPD, and severe insomnia also affect sleep patterns. Screening these factors ensures your sleep apnea risk assessment and OSA Facial Scan remain accurate and safe.