Unplanned Hospital Visits and Poor Oral Health With Undernutrition in Nursing Home Residents

Physical Function Trajectory among High-Functioning Long-Term Care Facility Residents: Utilizing Japanese National Data

Physical function trajectory (PFT) is associated with mortality and hospitalization risks. We aimed to identify and compare the PFTs of newly admitted high-functioning older adults during their first six months at long-term care (LTC) facilities. In this multicenter retrospective cohort study, we included newly admitted high-functioning older adults (Barthel index > 60) from 47 Japanese LTC facilities. The primary outcome was physical function changes after admission. Data were collected from the Long-Term Care Information System for Evidence (LIFE), which monitored LTC facility residents' function between 1 January 2021 and 31 January 2022. A group-based trajectory model and binomial logistic regression analyses were applied to identify and compare residents' PFTs. Among the 718 residents included, the average age was 85.69 years and 64.5% were female. PFTs were classified as maintenance (66.0%), improvement (9.5%), slight decline (16.6%), and large decline (7.9%). The improvement group had significantly fewer residents who expressed a lack of interest in daily activities (odds ratio (OR) 0.45; 95% confidence interval (CI) 0.21-0.97) compared to the maintenance group. The large decline group had significantly more residents with a low BMI at admission (OR 2.42; 95% CI 1.29-4.55) and residents who did not use dentures (OR 0.49; 95% CI 0.26-0.95), compared to the maintenance group. Considering future PFTs may aid the development of care plans and the provision of appropriate interventions. Moreover, utilizing existing data has the potential to maintain residents' physical independence and enhance the quality of care without burdening residents themselves or staff.

Impact of Motivation for Eating Habits, Appetite and Food Satisfaction, and Food Consciousness on Food Intake and Weight Loss in Older Nursing Home Patients

BACKGROUND

This study analyzed data from the Long-term care Information system For Evidence (LIFE) database to examine the effects of motivation to eat, appetite and food satisfaction, and food consciousness on food intake and weight loss.

METHODS

Of the 748 nursing home residents enrolled in the LIFE database, 336 met the eligibility criteria for this cross-sectional study. Motivation to eat, appetite and food satisfaction, and food consciousness were rated on five-point Likert scales (e.g., good, fair, normal, not so good, and not good). We applied Spearman rank correlation coefficient and multiple regression analyses to analyze the relationships between these three items, daily energy and protein intake, and body weight loss over 6 months.

RESULTS

The mean participant age was 87.4±8.1 years and 259 (77%) were female. The required levels of care included-level 1, 1 (0%); level 2, 4 (1%); level 3, 107 (32%); level 4, 135 (40%); and level 5, 89 (27%). The mean daily energy intake was 28.2±7.8 kcal/kg. The mean daily protein intake was 1.1±0.3 g/kg. The mean weight loss over six months was 1.2±0.7 kg. We observed strong positive correlations among motivation to eat, appetite and food satisfaction, and food consciousness (r>0.8). These three items were significantly associated with higher daily energy intake but not with daily protein intake. Only appetite and food satisfaction were significantly associated with lower weight loss over six months.

CONCLUSION

The observed associations of appetite and food satisfaction suggest that these factors may be more important to assess than motivation to eat or food consciousness among older adult residents of long-term care facilities.

Utilization of Japanese long-term care-related data including Kaigo-DB: An analysis of current trends and future directions

Despite high expectations from the government and researchers regarding data utilization, comprehensive analysis of long-term care (LTC)-related data use has been limited. This study reviewed the use of LTC-related data, including Kaigo-DB, in Japan after 2020. There was an increase in studies using LTC-related data in Japan between 2020 and 2021, followed by a stabilization period. The national government provided 13.5% of this data (6.5% from Kaigo-DB), while prefectures and municipalities contributed 85.2%, and facilities provided 1.3%. The linked data used in 90.4% of the studies primarily consisted of original questionnaire or interview surveys (34.6%) and medical claims (34.0%). None of the studies based on Kaigo-DB utilized linked data. In terms of study design, cohort studies were the most common (84.6%), followed by descriptive (5.1%), cross-sectional (3.2%), and case-control studies (1.3%). Among the 138 individual-based analytical descriptive studies, the most frequently used LTC-related data as an exposure was LTC services (26.8%), and the most common data used as an outcome was LTC certification or care need level (43.5%), followed by the independence degree of daily living for the older adults with dementia (18.1%). To enhance the use of LTC-related data, especially the valuable national Kaigo-DB, insights can be gleaned from how researchers effectively utilize municipal and prefectural data. Streamlining access to Kaigo-DB and enabling its linkage with other datasets are promising for future research in this field.

The Relationship between Oral Health-Related Quality of Life and Body Mass Index in an Older Population from Southern Italy: The Salus in Apulia Study

BACKGROUND

The assessment of oral health-related quality of life (OHRQoL) evaluated the impact of an individual's oral health on the patient's physical and psychosocial status. We evaluated the association between subjective OHRQoL, measured with the Oral Health Impact Profile-14 (OHIP-14) questionnaire, and unfavorable body mass index (BMI) (i.e., too high or too low) in a large population-based study on older adults from Southern Italy. Moreover, we assessed which of the seven OHIP-14 domains was the most strongly associated with an unfavorable BMI.

METHODS

We used data on a subpopulation of the Salus in Apulia Study, including 216 older adults. BMI < 18.4 kg/m2 and >30 kg/m2 were classified as unfavorable, while values between 18.5 and 30 kg/m2 were classified as ideal.

RESULTS

A higher OHIP-14 total score increased the risk of an unfavorable BMI (odds ratio (OR): 1.08, 95% confidence interval (CI): 1.01-1.15). In the model adjusted for age, sex, education, hypertension, carbohydrate consumption, and alcohol consumption, this finding was confirmed with a higher OHIP-14 total score increasing the risk of an unfavorable BMI (OR: 1.10, 95% CI: 1.01-1.22), and higher age linked to a decreased risk of an unfavorable BMI (OR: 0.89, 95% CI: 0.82-0.97). In a random forest regression model, the most important predictive domains/sub-scales of OHIP-14 in the mean decrease in the Gini coefficient for unfavorable BMI were, in order of decreasing importance, physical pain, functional limitation, psychological discomfort, physical disability, social disability, psychological disability, and handicap.

CONCLUSIONS

In older age, negative OHRQoL, particularly linked to the physical pain domain, increased the risk of being underweight or overweight and obesity.