Objective: To explore the relationship between personal characteristics of older adults with multiple chronic conditions (MCCs) and perceived shared decision making (SDM) resp. decisional conflict. Methods: In a video-observational study (N = 213) data were collected on personal characteristics. The main outcomes were perceived level of SDM and decisional conflict. The mediating variable was participation in the SDM process. A twostep mixed effect multilinear regression and a mediation analysis were performed to analyze the data. Results: The mean age of the patients was 77.3 years and 56.3% were female. Health literacy (β.01, p < .001) was significantly associated with participation in the SDM process. Education (β = −2.43, p = .05) and anxiety (β = −.26, p = .058) had a marginally significant direct effect on the patients’ perceived level of SDM. Education (β = 12.12, p = .002), health literacy (β = −.70, p = .005) and anxiety (β = 1.19, p = .004) had a significant direct effect on decisional conflict. The effect of health literacy on decisional conflict was mediated by participation in SDM. Conclusion: Health literacy, anxiety and education are associated with decisional conflict. Participation in SDM during consultations plays a mediating role in the relationship between health literacy and decisional conflict. Practice Implications: Tailoring SDM communication to health literacy levels is important for high quality SDM.
MULTIFILE
Poor well-being amongst older adults poses a serious health concern. Simultaneously, research shows that contact with nature can improve various facets of well-being, including physical, social, and mental well-being. However, nature is not always accessible for older adults due to mobility restrictions and related care needs that come with age. A promising strategy aims at bringing nature inside through pervasive technologies. However, so far, there is little academic understanding of essential nature characteristics, psychological processes involved, and means for implementation in practice. The current study used a three-folded rapid review to assess current understanding and strategies used for improving well-being for older adults through virtual reality representations of nature. Searches were performed across three databases, followed-up by content-based evaluation of abstracts. In total, a set of 25 relevant articles was identified. Only three studies specifically focus on digital nature as an intervention strategy for improving well-being amongst older adults. Although these studies provide useful starting points for the design and (technological) development of such environments, they do not generate understanding of how specific characteristics of virtual nature representations impact social well-being measures in particular, and of the underlying psychological processes involved. We conclude that follow-up research is warranted to close the gap between insights and findings from nature research, gerontology, health research, and human-technology interaction.
Background: A higher protein intake is suggested to preserve muscle mass during aging and may therefore reduce the risk of sarcopenia.Objectives: We explored whether the amount and type (animal or vegetable) of protein intake were associated with 5-y change in mid-thigh muscle cross-sectional area (CSA) in older adults (n = 1561).Methods: Protein intake was assessed at year 2 by a Block foodfrequency questionnaire in participants (aged 70–79 y) of the Health, Aging, and Body Composition (Health ABC) Study, a prospective cohort study. At year 1 and year 6 mid-thigh muscle CSA in square centimeters was measured by computed tomography. Multiple linearregression analysis was used to examine the association between energy-adjusted protein residuals in grams per day (total, animal, and vegetable protein) and muscle CSA at year 6, adjusted for muscle CSA at year 1 and potential confounders including prevalent health conditions, physical activity, and 5-y change in fat mass.Results: Mean (95% CI) protein intake was 0.90 (0.88, 0.92) g ·kg–1 · d–1 and mean (95% CI) 5-y change in muscle CSA was −9.8 (−10.6, −8.9) cm2. No association was observed between energyadjusted total (β = −0.00; 95% CI: −0.06, 0.06 cm2; P = 0.982), animal (β = −0.00; 95% CI: −0.06, 0.05 cm2; P = 0.923), or plant(β = +0.07; 95% CI: −0.06, 0.21 cm2; P = 0.276) protein intake and muscle CSA at year 6, adjusted for baseline mid-thigh muscle CSA and potential confounders.Conclusions: This study suggests that a higher total, animal, or vegetable protein intake is not associated with 5-y change in midthigh muscle CSA in older adults. This conclusion contradicts some, but not all, previous research. This trial was registered at www.trialregister.nl as NTR6930.
