The stomatognathic system in the elderly. Useful information for the medical practitioner

Aging per se has a small effect on oral tissues and functions, and most changes are secondary to extrinsic factors. The most common oral diseases in the elderly are increased tooth loss due to periodontal disease and dental caries, and oral precancer/cancer. There are many general, medical and socioeconomic factors related to dental disease (ie, disease, medications, cost, educational background, social class). Retaining less than 20 teeth is related to chewing difficulties. Tooth loss and the associated reduced masticatory performance lead to a diet poor in fibers, rich in saturated fat and cholesterols, related to cardiovascular disease, stroke, and gastrointestinal cancer. The presence of occlusal tooth contacts is also important for swallowing. Xerostomia is common in the elderly, causing pain and discomfort, and is usually related to disease and medication. Oral health parameters (ie, periodontal disease, tooth loss, poor oral hygiene) have also been related to cardiovascular disease, diabetes, bacterial pneumonia, and increased mortality, but the results are not yet conclusive, because of the many confounding factors. Oral health affects quality of life of the elderly, because of its impact on eating, comfort, appearance and socializing. On the other hand, impaired general condition deteriorates oral condition. It is therefore important for the medical practitioner to exchange information and cooperate with a dentist in order to improve patient care

Translation and validation of an ageism scale for dental students in Switzerland

PURPOSE This study aimed to validate an ageism scale for dental students in Switzerland. METHODS The original scale was first translated to German and then evaluated by 14 experts for relevance; four items were eliminated. Validation of the resulting questionnaire was performed at three Swiss dental schools. Principal component analysis (PCA) was performed; Cronbach's alpha (α) was used to assess the internal consistency reliability, and Pearson's coefficient to identify any correlations with demographic parameters (P < 0.05). RESULTS PCA revealed 11 items among 4 factors (Overall: 11 items, α = 0.63, variance = 56.6%; Factor #1 (F1): items = 3, α = 0.64; Factor #2 (F2): items = 3, α = 0.42; Factor #3 (F3): items = 3, α = 0.35; Factor #4 (F4): items = 2, α = 0.37). F1 and F4 were correlated with clinical experience (F1: P = 0.042; F4: P = 0.006) and participation in a gerodontology course (F1: P = 0.021; F4: P = 0.004). F1 was correlated with experience of dealing with the elderly (P = 0.031), while residence locality was correlated with F3 (P = 0.047) and F4 (P = 0.043). F2 was correlated with the presence of elderly in the family (P = 0.047). CONCLUSION The translated dental ageism questionnaire for Switzerland resulted in an 11-item scale with acceptable reliability

The consumption of protein-rich foods in older adults: An exploratory focus group study

Objective: Many older adults consume inadequate protein for their needs. This study explored the factors associated with the consumption of high-protein foods in older adults. Methods: Participants over the age of 65 years (n = 28) took part in 1 of 4 focus group discussions on meat, fish, eggs, dairy products, nuts, and pulses. Discussions were audio taped, transcribed, and analyzed using thematic analysis. Results: Numerous and various reasons for the consumption and non-consumption of high-protein foods were reported. Many of these reasons result from reductions in chemosensory, dental and physical abilities, and changes in living situation in the older population, and have impact specifically on high-protein foods because of their often hard, perishable and need-to-be-cooked nature, and high cost. Conclusions and Implications: Further work is required to establish the importance of each of thesereasons in relation to protein intakes, to prioritize those of likely greatest impact for increasing intakes. © 2013 Society for Nutrition Education and Behavior

An expert opinion from the European College of Gerodontology and the European Geriatric Medicine Society : European policy recommendations on oral health in older adults

This is an expert opinion paper on oral health policy recommendations for older adults in Europe, with particular focus on frail and care-dependent persons, that the European College of Gerodontology (ECG) and the European Geriatric Medicine Society (EUGMS) Task and Finish Group on Gerodontology has developed. Oral health in older adults is often poor. Common oral diseases such as caries, periodontal disease, denture-related conditions, hyposalivation, and oral pre- and cancerous conditions may lead to tooth loss, pain, local and systemic infection, impaired oral function, and poor quality of life. Although the majority of oral diseases can be prevented or treated, oral problems in older adults remain prevalent and largely underdiagnosed, because frail persons often do not receive routine dental care, due to a number of barriers and misconceptions. These hindrances include person-related issues, lack of professional support, and lack of effective oral health policies. Three major areas for action are identified: education for healthcare providers, health policy action plans, and citizen empowerment and involvement. A list of defined competencies in geriatric oral health for non-dental healthcare providers is suggested, as well as an oral health promotion and disease prevention protocol for residents in institutional settings. Oral health assessment should be incorporated into general health assessments, oral health care should be integrated into public healthcare coverage, and access to dental care should be ensured

Limited compensation at the following meal for protein and energy intake at a lunch meal in healthy free-living older adults.

Various interventions have previously been found to increase protein intakes in older adults, but in free-living individuals, compensation for increased intakes at one meal may easily negate these effects resulting in limited long term benefit. This study investigated the impact of adding sauce to an older person's lunch meal on intakes at that meal, at the following meal and overall (lunch + evening meal). Using a repeated measures design, 52 participants consumed both a lunch meal with sauce and the same lunch meal without sauce on two separate occasions, and intake at this meal and at the following meal were measured. In all participants analysed together, the addition of sauce resulted in increased protein intakes at the lunch meal. Individual differences were also found, where for some individuals (n = 26), the addition of sauce resulted in significantly higher protein and energy intakes at the lunch meal (12.3 g protein, 381 kJ) and overall (11 g protein, 420 kJ), compared to the no-sauce condition, while for some individuals (n = 19), the sauce manipulation resulted in lower protein and energy intakes (lunch: 7 g protein, 297 kJ; overall: 7 g protein, 350 kJ). Compensation for earlier intakes was low (0-17%) for both groups. These findings demonstrate the possible value of adding sauce to an older person's meal for increasing intakes, and demonstrate a need for attention to individual differences. This study also confirms previous findings of limited compensation in older adults, but extends earlier studies to demonstrate limited compensation for the protein consumed in a complete meal in healthy older adults

The DREEM, part 1: measurement of the educational environment in an osteopathy teaching program

Background Measurement of the educational environment has become more common in health professional education programs. Information gained from these investigations can be used to implement and measure changes to the curricula, educational delivery and the physical environment. A number of questionnaires exist to measure the educational environment, and the most commonly utilised of these is the Dundee Ready Educational Environment Measure (DREEM). Methods The DREEM was administered to students in all year levels of the osteopathy program at Victoria University (VU), Melbourne, Australia. Students also completed a demographic survey. Inferential and correlational statistics were employed to investigate the educational environment based on the scores obtained from the DREEM. Results A response rate of 90% was achieved. The mean total DREEM score was 135.37 (+/- 19.33) with the scores ranging from 72 to 179. Some subscales and items demonstrated differences for gender, clinical phase, age and whether the student was in receipt of a government allowance. Conclusions There are a number of areas in the program that are performing well, and some aspects that could be improved. Overall students rated the VU osteopathy program as more positive than negative. The information obtained in the present study has identified areas for improvement and will enable the program leaders to facilitate changes. It will also provide other educational institutions with data on which they can make comparisons with their own programs