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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.
Background: There is still limited evidence on the effectiveness and implementation of smoking cessation interventions for people with severe mental illness (SMI) in Dutch outpatient psychiatric settings. The present study aimed to establish expert consensus on the core components and strategies to optimise practical implementation of a smoking cessation intervention for people treated by Flexible Assertive Community Treatment (FACT) teams in the Netherlands. Design: A modified Delphi method was applied to reach consensus on three core components (behavioural counselling, pharmacological treatment and peer support) of the intervention. The Delphi panel comprised five experts with different professional backgrounds. We proposed a first intervention concept. The panel critically examined the evolving concept in three iterative rounds of 90 min each. Responses were recorded, transcribed verbatim and thematically analysed. Results: Overall, results yielded that behavioural counselling should focus on preparation for smoking cessation, guidance, relapse prevention and normalisation. Pharmacological treatment consisting of nicotine replacement therapy (NRT), Varenicline or Bupropion, under supervision of a psychiatrist, was recommended. The panel agreed on integrating peer support as a regular part of the intervention, thus fostering emotional and practical support among patients. Treatment of a co-morbid cannabis use disorder needs to be integrated into the intervention if indicated. Regarding implementation, staff’s motivation to support smoking cessation was considered essential. For each ambulatory team, two mental health care professionals will have a central role in delivering the intervention. Conclusions: This study provides insight into expert consensus on the core components of a smoking cessation intervention for people with SMI. The results of this study were used for the development of a comprehensive smoking cessation program.
Background: Community nurses (CNs) play an important role in supporting healthy lifestyles, including healthy eating behaviour of patients. However, many CNs do not incorporate healthy eating support in their daily routines to the fullest extent possible. This study aimed to explore (1) the associations between nurse-related behavioural determinants and self-reported healthy eating support practices of Dutch CNs and (2) CNs’ need for additional knowledge. Methods: In this cross-sectional survey design, 244 Dutch CNs completed an online, self-administered questionnaire in October-November 2021. The 60 questionnaire items were related to CNs’ characteristics, nurse-related determinants, healthy eating support practices (observing problems, having a conversation about patients’ dietary behaviour, motivating patients to eat and drink healthier and supporting patients in goal setting) and the need for additional knowledge. The items on determinants and practices used a 5-point Likert scale. Adjusted prevalence ratios (PRadjusted) with 95% confidence intervals (95%CIs) were obtained for the associations between determinants and practices, using adjusted Poisson regression with robust variance estimations. Results: More CNs practiced observing problems (75%) and having a conversation (70%) than did motivating patients (45%) and supporting goal setting (28%) at least often. A more positive attitude (PRadjusted 1.8; 95%CI 1.5–2.2), greater self-efficacy (PRadjusted 1.3; 95%CI 1.1–1.5), greater motivation (PRadjusted 1.5; 95%CI 1.3–1.7) and better abilities (PRadjusted 1.4; 95%CI 1.2–1.6) were associated with a greater prevalence of supporting healthy eating at least often (vs. never to sometimes). Barriers were not associated with healthy eating support (PRadjusted 1.1; 95%CI 1.0-1.2). CNs especially desired more knowledge on diet in relation to cancer, gastrointestinal diseases, severe psychiatric diseases and dementia; methods for motivating patients to start and for supporting patients to sustain healthy eating; and dealing with patient autonomy. Conclusions: This study suggests that nurse-related behavioural determinants such as attitude, self-efficacy, motivation and ability should be addressed to improve CNs’ competences in healthy eating support. In addition, based on self-reported need for additional knowledge, it is recommended to pay attention to evidence-based behaviour change techniques, dealing with patient autonomy, and diet in relation to cancer, gastrointestinal diseases, severe psychiatric diseases and dementia.