An adequate protein intake is important for healthy ageing, yet nearly 50% of Dutch community-dwelling older adults do not meet protein recommendations. This study explores protein intake in relation to eight behavioral determinants (I-Change model) among Dutch community-dwelling older adults. Data were collected through an online questionnaire from October 2019–October 2020. Protein intake was assessed by the Protein Screener 55+, indicating a high/low chance of a low protein intake (<1.0 g/kg body weight/day). The behavioral determinants of cognizance, knowledge, risk perception, perceived cues, attitude, social support, self-efficacy and intention were assessed by evaluating statements on a 7-point Likert scale. A total of 824 Dutch community-dwelling older adults were included, recruited via online newsletters, newspapers and by personal approach. Poisson regression was performed to calculate quartile-based prevalence ratios (PRs). Almost 40% of 824 respondents had a high chance of a low protein intake. Univariate analyses indicated that lower scores for all different behavioral determinants were associated with a higher chance of a low protein intake. Independent associations were observed for knowledge (Q4 OR = 0.71) and social support (Q4 OR = 0.71). Results of this study can be used in future interventions aiming to increase protein intake in which focus should lie on increasing knowledge and social support.
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Introduction: Poor nutritional status can impair oral health while poor oral health can influence the individual's dietary intake, which may result in malnutrition. This interaction between nutritional status and oral health in older age requires attention, coordination and collaboration between healthcare professionals. This qualitative study explores dental hygienists' and dietitians' opinions about current collaboration with the aim of identifying success factors and barriers to this interprofessional collaboration. Methods: Three focus group interviews were held with Dutch dental hygienists and dietitians about nutritional and oral healthcare in community-dwelling older people. Results: In total, 9 dietitians and 11 dental hygienists participated in three online focus group interviews. Dental hygienists and dietitians seldom collaborated or consulted with each other. They struggled with the professional boundaries of their field of expertise and experienced limited knowledge about the scope of practice of the other profession, resulting in conflicting information to patients about nutrition and oral health. Interprofessional education was scarce during their professional training. Organizational and network obstacles to collaborate were recognized, such as limitations in time, reimbursement and their professional network that often does not include a dietitian or dental hygienist. Conclusion: Dental hygienists and dietitians do not collaborate or consult each other about (mal)nutrition or oral health in community-dwelling older people. To establish interprofessional collaboration, they need to gain knowledge and skills about nutrition and oral health to effectively recognize problems in nutritional status and oral health. Interprofessional education for healthcare professionals is needed to stimulate interprofessional collaboration to improve care for older people.
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Background/purpose: For prevention of sarcopenia and functionaldecline in community-dwelling older adults, a higher daily proteinintake is needed. A new e-health strategy for dietary counselling wasused with the aim to increase total daily protein intake to optimallevels (minimal 1.2 g/kg/day, optimal 1.5 g/kg/day) through use ofregular food products.Methods: The VITAMIN (VITal Amsterdam older adults IN the city)RCT included 245 community-dwelling older adults (age ≥ 55y):control, exercise, and exercise plus dietary counselling (protein)group. The dietary counselling intervention was based on behaviourchange and personalization. Dietary intake was measured by a 3ddietary record at baseline, after 6-month intervention and 12-monthfollow-up. The primary outcome was average daily protein intake(g/kg/day). Sub-group analysis and secondary outcomes includeddaily protein distribution, sources, product groups. A Linear MixedModels (LMM) of repeated measures was performed with STATAv13.Results: Mean age of the 224 subjects was 72.0(6.5) years, a BMI of26.0(4.2). The LMM showed a significant effect of time and time*group(p<0.001). The dietary counselling group showed higher protein intakethan either control (1.41 vs 1.13 g/kg/day; β +0.32; p<0.001) or exercisegroup (1.41 vs 1.11 g/kg/day; β +0.33; p<0.001) after 6-month interventionand 12-month follow-up.Conclusions and implications: This study shows digitally supporteddietary counselling improves protein intake sufficiently in communitydwellingolder adults with use of regular food products. Protein intakeincrease by personalised counselling with e-health is a promising strategyfor dieticians.
