The Association between Oral Health-Related Quality of Life, Loneliness, Perceived and Objective Social Isolation-Results of a Nationally Representative Survey

Oral health-related quality of life and depressive symptoms in adults: longitudinal associations of the English Longitudinal Study of Ageing (ELSA)

BACKGROUND

Little is known about the relationship between oral health status and depressive symptoms in adults in England. The aim of this study was to examine the longitudinal association between oral health parameters and depressive symptoms in adults in England.

METHODS

Data were obtained from the English Longitudinal Study of Aging (ELSA), which included information on self-rated oral health, oral impairment in daily life (Oral Impacts on Daily Performances, OIDP), and depressive symptoms (Center for Epidemiologic Studies Depression Scale, CES-D) in 6790 adults aged ≥ 50 years. Wave 3 data were used as baseline, while Waves 5 and 7 were used for follow-up assessments. Logistic regression was used to determine whether depressive symptoms at baseline anticipated self-rated oral health and OIDP and whether oral health status (at baseline) was associated with the development of depressive symptoms at follow-up assessment.

RESULTS

Participants with poor self-rated oral health were at higher risk of developing depressive symptoms, even after adjusting for behavioral, clinical, and sociodemographic characteristics (OR = 1.69, 95% CI 1.38-2.07). Similarly, having oral impacts on daily performances were associated with the development of depressive symptoms: The OR for developing depressive symptoms at Wave 5 or 7 was 2.19 (95% CI 1.62-2.96) after adjustment for all covariates. Participants with depressive symptoms at baseline were more likely to report poor self-rated oral health (OR = 1.93, 95% CI 1.52-2.44) or one or more oral impacts (OR = 1.86, 95% CI 1.45-2.40) at follow-up than those without depressive symptoms at baseline, even after adjusting for confounders.

CONCLUSIONS

In the present study, a bidirectional association was found between depressive symptoms and poor oral health in older adults. Maintaining good oral health in older adults may be a protective factor against depressive symptoms. Therefore, more attention should be paid to promoting oral health awareness in older adults, including encouraging regular dental checkups, proper toothbrushing and flossing techniques, and healthy lifestyles.

The association between social isolation and oral health of community-dwelling older adults-A systematic review

AIM

Social isolation and oral health problems commonly exist in older populations and can influence each other. However, evidence on this bidirectional correlation is scarce. This systematic review aimed to provide a comprehensive overview of literature in which social isolation and oral health were associated with each other separately.

METHODS

Electronic searches were performed through six databases. Original cross-sectional and longitudinal prospective studies that evaluated the associations between social isolation and oral health as either exposure or outcome were included.

RESULTS

In total, 282 articles were retrieved. Of these, 10 cross-sectional studies and one longitudinal study were included in the analysis. The level of evidence reported was generally moderate to strong. Most studies found that both stronger objective and perceived social isolation were associated with worse oral health in both directions. The frequency of meeting friends had an inconsistent association with oral health.

CONCLUSIONS

The results of our systematic review showed a bidirectional association between social isolation and oral health in independent community-dwelling older adults. Both objective and perceived social isolation are associated with oral health. As objective social isolation indicators, quality of social connectedness appears to play a more important role in the association with oral health.

Oral health and quality of life: findings from the Survey of Health, Ageing and Retirement in Europe

BACKGROUND

The aim of this study was to clarify the link between oral health and quality of life among older adults in Europe.

METHODS

Cross-sectional data from wave 5 (n = 59,048 observations) were used from the representative Survey of Health, Ageing and Retirement in Europe. Oral health was quantified by three questions: presence of all natural teeth (yes; no); among individuals with missing natural teeth, the number of missing teeth and the extent of replaced natural teeth were quantified. Quality of life was quantified using the widely used CASP-12. Multiple linear regressions were used to determine the association between oral health and quality of life, adjusting for various potential confounders.

RESULTS

Multiple linear regressions showed that higher quality of life was associated with (1) the presence of all natural teeth and among individuals with missing natural teeth, with (2) a lower number of missing natural teeth and (3) completely replaced natural teeth. Additionally, quality of life was positively associated with younger age, being female, being married or in a partnership, higher income, higher educational level, not currently smoking, a lower number of functional impairments, better self-rated health, a lower number of depressive symptoms and a lower number of chronic diseases.

CONCLUSION

Study findings showed an association between oral health and quality of life among older adults in Europe. Thus, the importance of good oral health for successful ageing was stressed. Future research is required to clarify the underlying mechanisms. Moreover, longitudinal studies are required to confirm our current findings.

Personality and oral health-related quality of life. Results from an online survey

BACKGROUND

To investigate the association between personality factors and oral health-related quality of life.

METHODS

Data were taken from an online survey (representative for the general adult population in Germany in terms of region, sex and age group; n = 3,075) performed in late summer 2021. The well-established Oral Health Impact Profile (OHIP-G5) was used to measure oral health-related quality of life. Moreover, the established 10 Item Big Five Inventory (BFI-10) was used to quantify personality factors (in terms of agreeableness, conscientiousness, extraversion, neuroticism, and openness to experience). Sex, age, family status, educational level, smoking status, alcohol consumption, sports activities, presence of chronic diseases and self-rated health were adjusted for in multiple linear regression analysis.

RESULTS

Pearson correlations between oral health-related quality of life and personality factors ranged from r =- 0.17 (conscientiousness) to r = 0.17 (neuroticism). Regressions revealed that low oral health-related quality of life is associated with higher neuroticism (β = 0.39, p < 0.001) and lower conscientiousness (β=-0.51, p < 0.001).

CONCLUSION

This study revealed an association between personality factors (higher neuroticism and lower conscientiousness) and low oral health-related quality of life. Before dental treatment, it may be helpful to measure personality traits of patients in order to predict the expectations of patients, as well as their responses to intended treatments. This may support the identification of the most appropriate method of treatment.

Changes in patterns of eating habits and food intake during the first German COVID-19 lockdown: results of a cross-sectional online survey

Purpose

The COVID-19 pandemic and public measures have a direct impact on the nutrition situation; studies show changes in food consumption, eating behavior or body weight but complex pattern analyses of changes rarely exist.

Methods

During the first German lockdown, a web-based survey was conducted among adults. It included 33 questions about changes in food intake, eating habits and physical activity, as well as anthropometrics and sociodemographic factors. Patterns of change were calculated based on changes in food intake and eating habits using two-step cluster analysis. To identify influencing factors for assignment to the patterns of change, binary logistic regression analyses were performed.

Results

Data from 2103 participants (81% female, 40 ± 14 years) were considered for analysis. Increased stockpiling, cooking, and variation in preparation was reported by 50–70%. The constant pattern (C-P, 36%) reported little change besides the above. The health-oriented pattern (HO-P; 37%) reported eating more healthy foods, avoiding unhealthy foods, and eating less and less frequently. The emotional-driven pattern (ED-P; 28%) exhibits higher influence of emotions on eating behavior, less avoidance of unhealthy foods, and increased consumption of sweets, pastries, and alcohol. The odds of changing eating behavior either to HO-P or ED-P were higher in women, people with migration background, younger participants, and increased with BMI categories.

Conclusion

Both, the ED-P and HO-P, exhibit distinctive reactions in eating habits and food intake when dealing with a distressing experience. In subgroups, these may lead to disturbances in eating behavior and increase the risk for eating disorders and obesity.