Relationship between an Oral Health Risk Assessment Using a Salivary Multi-Test System and Woman’s Subjective Oral Health Symptoms and Sleep Disorder

Abstract

Saliva is used as a diagnosis and monitoring tool for various diseases because it can maintain the balance of the oral ecosystem and reflect the physiological and pathological state of the body. Because women suffer more fatigue than men because of physiological, psychological, and social factors, individual management strategies are needed to evaluate mental health and oral diseases. Therefore, this study examined the oral health risk level from seven saliva factors using a saliva multi-test system for adult women to confirm the possibility of screening for sleep disorders. The saliva of 83 adult female participants was surveyed along with a self-reported questionnaire consisting of seven subjective oral health symptoms and three questions about sleep disorders. Seven saliva factors were evaluated using the saliva multi-test system (SiLL-Ha ST-4910) to assess the oral health risk levels. In the tooth health risk groups, the acidity was high, while the buffering capacity was low (p < 0.001). The periodontal health risk groups showed significant differences in acidity, occult blood, leukocytes, proteins, and ammonia (p < 0.05). The oral malodor risk group had higher levels of cariogenic bacteria, occult blood, leukocytes, and ammonia (p < 0.05). In groups with 'irregular sleep times' and 'insomnia', the acidity was high, and the buffering capacity was low (p < 0.001). This study confirmed the relevance of saliva factors and sleep disorder. Therefore, an evaluation using saliva was confirmed for oral health risk assessments and as an early screening tool for sleep disorders.

Investigating oral health among US adults with sleep disorder: a cross-sectional study

“…Numerous studies outline the relationship between sleep disorders and dental health [11][12][13][14][15][16][17][18]. However, the limitations of these studies include the inclusion of children of 17 years and younger as participants [16] and the analysis of single oral health outcomes such as xerostomia [19], bruxism [20], and dental caries [21].…”

Digital oral health biomarkers for early detection of cognitive decline

“…With repeated measurements using a sample of 20 participants, the intra-class correlation coefficients of the seven saliva factors were 0.67–0.93, above moderate-level reliability [ 39 ]. Among 104 adult participants, those with pocket depth measurements > 5 mm had higher levels of leukocytes and proteins than those with pocket depths of ≤ 5 mm [ 40 ]. Systemic diseases influenced the results of SILL-Ha Ⓡ .…”

“…Systemic diseases influenced the results of SILL-Ha Ⓡ . For example, participants with diabetes and/or cancer are more likely to have lower leukocyte and higher ammonia levels, and those with sleep apnea are more likely to have lower acidity [ 40 ].…”

Association between sleep pattern, salivary cariogenic bacteria and fungi populations, pH and buffering capacity in children: A comparative study

“…The mean ± standard deviation (M ±SD) values were calculated based on a previous study. 26 The sampling was conducted in 4 schools located in different parts of the city, chosen based on their willingness to participate in the study. The students were selected randomly from each of the 5 grade levels, with an equal number of male and female students in each group.…”