The aim of the study was to investigate the relationship between specific known dietary patterns and the prevalence of periodontal disease in a northern population-based cohort study. We evaluated data from 6209 participants of the Hamburg City Health Study (HCHS). The HCHS is a prospective cohort study and is registered at ClinicalTrial.gov (NCT03934957). Dietary intake was assessed with the food frequency questionnaire (FFQ2). Periodontal examination included probing depth, gingival recession, plaque index, and bleeding on probing. Descriptive analyses were stratified by periodontitis severity. Ordinal logistic regression models were used to determine the association. Ordinal regression analyses revealed a significant association between higher adherence to the DASH diet/Mediterranean diet and lower odds to be affected by periodontal diseases in an unadjusted model (OR: 0.92; 95% CI: 0.87, 0.97; p < 0.001/OR: 0.93; 95% CI: 0.91, 0.96; p < 0.001) and an adjusted model (age, sex, diabetes) (OR: 0.94; 95% CI: 0.89, 1.00; p < 0.0365/OR: 0.97; 95% CI: 0.94, 1.00; p < 0.0359). The current cross-sectional study identified a significant association between higher adherence to the DASH and Mediterranean diets and lower odds to be affected by periodontal diseases (irrespective of disease severity). Future randomized controlled trials are needed to evaluate to which extent macro- and micronutrition can affect periodontitis initiation/progression.

Background: Positive and negative influences on oral health are attributed to coffee consumption. The aim of the current study is to evaluate the association between coffee consumption and periodontitis in the general population of Hamburg. Methods: A total of 6,209 participants from the Hamburg City Health Study were included in this cross-sectional study. Information on coffee consumption was collected using a food frequency questionnaire. Periodontal examination included assessment of dental care ability via Plaque Index, measurement of pocket depth, gingival recession, and bleeding on probing. Classification was based on the criteria of Eke and Page. Ordinal logistic regression models were performed unadjusted and adjusted for confounding variables. Results: Periodontal cohort consists of 6,209 participants, presenting either none/mild (n = 1,453, 39.6% men, 2.4% strong coffee drinkers), moderate (n = 3,580, 49.3% men, 3.3% strong coffee drinkers), or severe (n = 1,176, 60.9% men, 5.0% strong coffee drinkers) periodontitis. There was a significant association between strong coffee consumption (≥ 7or more cups/day) and periodontitis (OR: 1.51; CI: 1.07, 2.12; p > 0.001), compared with low coffee consumption. Conversely, moderate coffee consumption was not associated with periodontitis, compared with low coffee consumption. Conclusion: and clinical relevance. In this cross-sectional study of a northern German population, strong coffee consumption was significantly associated with periodontitis. Influence of changes in coffee consumption on periodontal disease etiology/progression should be investigated in future prospective study designs, in order to identify strong coffee consumption as a potential risk factor of periodontitis.

Aims: Data on the association between periodontitis and preclinical cardiac alterations remain scarce. The aim of the current study is to determine if periodontitis is associated with morphological and functional cardiac changes measured by transthoracic echocardiography as well as different heart failure (HF) phenotypes. Methods: Participants from the population-based Hamburg City Health Study [ClinicalTrial.gov (NCT03934957)], who underwent transthoracic echocardiography and periodontal screening were included. Periodontitis was classified according to Eke and Page (none/mild, moderate, severe). The 2021 ESC HF guidelines were applied and HF was classified into HF with preserved ejection fraction (HFpEF, ejection fraction ≥50%), HF with mid-range and reduced ejection fraction [HF(m)rEF, ejection fraction <50%], and HF in general [HFpEF and HF(m)rEF]. Due to limited size, all subjects with LVEF <50% and symptoms or signs of HF were classified as HF with reduced and mildly reduced ejection fraction [HF(m)rEF]. Results: Within 6209 participants with full periodontal examination, we identified an overlap of n = 167 participants with periodontitis and HF. Participants with severe periodontitis showed a higher burden of cardiovascular risk factors (men at advanced age, diabetes mellitus, hypertension) when compared with participants with none/mild periodontitis. After adjustment for age, sex, body mass index, smoking, diabetes, hypertension, atrial fibrillation, and coronary artery disease, severe periodontitis was significantly associated with HF(m)rEF (odds ratio: 3.16; 95% CI: 1.21, 8.22; P = 0.019), although no association was found for HFpEF and HF in general. Conclusions: The current study demonstrated that severe periodontitis was significantly associated with HF(m)rEF, although no relevant associations were found with HFpEF and HF in general as well as echocardiographic variables. The results implicate a potential target group, who need special attention from cooperating physicians and dentists. Future studies are warranted to verify whether systemic inflammation could be the link between the two diseases.

Background: Previous studies demonstrated an association between severe chronic periodontitis (CP) and metabolic syndrome (MetS). However, these studies mostly used the outdated National Cholesterol Education Program‐Adult Treatment Panel (NCEP‐ATP) III case definition of MetS. Additionally, CP was rarely diagnosed based on a full‐mouth examination. Thus, the aim of the current study was to re‐evaluate the potential association between CP and MetS in the Hamburg City Health Study (HCHS), a large population‐based survey of middle‐aged and elderly men and women in Germany, in view of more current definitions of MetS and CP.Methods: A cross‐sectional study was performed with baseline‐data from participants of the HCHS. Periodontitis severity grades were determined in a random sample of 6,209 participants of which 5,456 had sufficient data to call absence or presence of MetS. Variables defining MetS according to the currently valid harmonized definition were determined and a full‐mouth examination was performed, including determination of the clinical attachment loss, bleeding on probing, and dental plaque index. CP was classified in three grades of severity (none/mild, moderate, and severe). The Kruskal‒Wallis test or the Chi‐squared test were used for descriptive statistics and multivariate logistic regression models with and without adjustments for potential confounders (age, sex, smoking, high‐sensitivity C‐reactive protein [hsCRP], energy intake, and physical activity) were used to test for associations.Results: The prevalence of MetS (39.0%) increased according to the severity grades of periodontitis (none/mild: 33.6%; moderate: 38.7%, and severe: 46.8%). Multivariate logistic regression analyses demonstrated that severe but not moderate CP was associated with MetS after adjusting for age and sex (odds ratio [OR], 1.24; 95% confidence interval [CI], 1.03 to 1.48; P = 0.02). However, the association was attenuated after additional adjustment for smoking (OR, 1.19; 95% CI, 0.99 to 1.43; P = 0.058) and hsCRP, energy intake, and physical activity (OR, 1.11; 95% CI, 0.91 to 1.36; P = 0.294).Conclusions: The use of the more current definitions for MetS and CP confirmed previous observations of an age‐ and sex‐adjusted association between severe CP and MetS. Smoking, high‐energy intake, and low physical activity were identified as important lifestyle‐related confounders. Abdominal obesity, as indicated by elevated waist circumference, was determined as the most important component of MetS in relationship to CP.

Objective: Large-scale population-based studies regarding the role of education in periodontitis are lacking. Thus, the aim of the current study was to analyze the potential association between education and periodontitis with state of the art measured clinical phenotypes within a large population-based sample from northern Germany. Material & methods: The Hamburg City Health Study (HCHS) is a population-based cohort study registered at ClinicalTrial.gov (NCT03934957). Oral health was assessed via plaque-index, probing depth, gingival recession and gingival bleeding. Periodontitis was classified according to Eke & Page. Education level was determined using the International Standard Classification of Education (ISCED-97) further categorized in “low, medium or high” education. Analyses for descriptive models were stratified by periodontitis severity. Ordinal logistic regression models were stepwise constructed to test for hypotheses. Results: Within the first cohort of 10,000 participants, we identified 1,453 with none/mild, 3,580 with moderate, and 1,176 with severe periodontitis. Ordinal regression analyses adjusted for co-variables (age, sex, smoking, diabetes, hypertension and migration) showed that the education level (low vs. high) was significantly associated with periodontitis (OR: 1.33, 95% CI: 1.18;1.47). Conclusion: In conclusion, the current study revealed a significant association between the education level and periodontitis after adjustments for a set of confounders. Further research is needed to develop strategies to overcome education related deficits in oral and periodontal health.

Background: Studies in Germany have shown that susceptible groups, such as people with a migration background, have poorer oral health than the majority of the population. Limited oral health literacy (OHL) appears to be an important factor that affects the oral health of these groups. To increase OHL and to promote prevention-oriented oral health behavior, we developed an evidence-based prevention program in the form of an app for smartphones or tablets, the Förderung der Mundgesundheitskompetenz und Mundgesundheit von Menschen mit Migrationshintergrund (MuMi) app. Objective: This study aims to describe the development process of the MuMi app. Methods: For the description and analysis of the systematic development process of the MuMi app, we used the intervention mapping approach. The approach was implemented in 6 steps: needs assessment, formulation of intervention goals, selection of evidence-based methods and practical strategies for behavior change, planning and designing the intervention, planning the implementation and delivery of the intervention, and planning the evaluation. Results: On the basis of our literature search, expert interviews, and a focus group with the target population, we identified limited knowledge of behavioral risk factors or proper oral hygiene procedures, limited proficiency of the German language, and differing health care socialization as the main barriers to good oral health. Afterward, we selected modifiable determinants of oral health behavior that were in line with behavior change theories. On this basis, performance objectives and change objectives for the relevant population at risk were formalized. Appropriate behavior change techniques to achieve the program objectives, such as the provision of health information, encouragement of self-control and self-monitoring, and sending reminders, were identified. Subsequently, these were translated into practical strategies, such as multiple-choice quizzes or videos. The resulting program, the MuMi app, is available in the Apple app store and Android app store. The effectiveness of the app was evaluated in the MuMi intervention study. The analyses showed that users of the MuMi app had a substantial increase in their OHL and improved oral hygiene (as measured by clinical parameters) after 6 months compared with the control group. Conclusions: The intervention mapping approach provided a transparent, structured, and evidence-based process for the development of our prevention program. It allowed us to identify the most appropriate and effective techniques to initiate behavior change in the target population. The MuMi app takes into account the cultural and specific determinants of people with a migration background in Germany. To our knowledge, it is the first evidence-based app that addresses OHL among people with a migration background.