Fish intake and pre-frailty in Norwegian older adults - a prospective cohort study: the Tromsø Study 1994-2016

Quality of plant-based diets and frailty incidence: a prospective analysis of UK biobank participants

BACKGROUND

Substantial evidence supports the inverse association between adherence to healthy dietary patterns and frailty risk. However, the role of plant-based diets, particularly their quality, is poorly known.

OBJECTIVE

To examine the association of two plant-based diets with incidence of physical frailty in middle-aged and older adults.

DESIGN

Prospective cohort.

SETTING

United Kingdom.

SUBJECTS

24,996 individuals aged 40-70 years, followed from 2009-12 to 2019-22.

METHODS

Based on at least two 24-h diet assessments, we built two diet indices: (i) the healthful Plant-based Diet Index (hPDI) and (ii) the unhealthful Plant-based Diet Index (uPDI). Incident frailty was defined as developing ≥3 out of 5 of the Fried criteria. We used Cox models to estimate relative risks (RR), and their 95% confidence interval (CI), of incident frailty adjusted for the main potential confounders.

RESULTS

After a median follow-up of 6.72 years, 428 cases of frailty were ascertained. The RR (95% CI) of frailty was 0.62 (0.48-0.80) for the highest versus lowest tertile of the hPDI and 1.61 (1.26-2.05) for the uPDI. The consumption of healthy plant foods was associated with lower frailty risk (RR per serving 0.93 (0.90-0.96)). The hPDI was directly, and the uPDI inversely, associated with higher risk of low physical activity, slow walking speed and weak hand grip, and the uPDI with higher risk of exhaustion.

CONCLUSIONS

In British middle-age and older adults, greater adherence to the hPDI was associated with lower risk of frailty, whereas greater adherence to the uPDI was associated with higher risk.

Evaluation of health factors on artificial intelligence and the internet of things-based older adults healthcare programmes

Objective

This study evaluates Artificial intelligence and the Internet of Things-based older adults' healthcare programmes (AI·IoT-OAHPs), which offer non-face-to-face and face-to-face health management to older adults for health promotion.

Methods

The study involved 146 participants, adults over 60 who had registered in AI·IoT-OAHPs. This study assessed the health factors as the outcome of pre- and post-health screening and health management through AI·IoT-OAHPs for six months.

Results

Preand post-health screening and management through AI·IoT-OAHPs were evaluated as significant outcomes in 14 health factors. Notably, the benefits of post-cognitive function showed a twofold increase in older female adults through AI·IoT-OAHPs. Adults over 70 showed a fourfold increase in post-walking days, a threefold in post-dietary practice, and a twofold in post-cognitive function in the post-effects compared with pre via AI·IoT-OAHPs.

Conclusions

AI·IoT-OAHPs seem to be an effective program in the realm of face-to-face and non-face-to-face AI·IoT-based older adults' healthcare initiatives in the era of COVID-19. Consequently, the study suggests that AI·IoT-OAHPs contribute to the upgrade in health promotion of older adults. In future studies, the effectiveness of AI·IoT-OAHPs can be evaluated as a continuous project every year in the short term and every two years in the long term.

Translation and validation of the Chinese version of the Japan Frailty Scale

Purpose

Frailty is a difficult-to-measure condition that is susceptible to adverse outcomes. The Japan Frailty Scale (JFS) is a tool for assessing frailty status in older adults. This study aimed to translate and culturally adapt the JFS into a Chinese version (JFS-C).

Materials and methods

The study included 160 older adults as participants. Internal consistency was assessed using Cronbach's alpha, and test-retest reliability was conducted using the intraclass correlation coefficient (ICC). Convergent validity was evaluated by assessing the correlation between JFS-C and the Barthel Index, the Frail scale, and the 36-item Short-Form Health Survey (SF-36). Criterion validity was assessed by comparing JFS-C scores with the Frail scale.

Results

JFS-C demonstrated adequate internal consistency (Cronbach's alphas = 0.711) and excellent test-retest reliability over a 7 to 10-day interval (ICC = 0.949). Correlation analysis showed a strong positive correlation between JFS-C and the Frail scale (r = 0.786, p < 0.001), a moderate negative correlation with the Barthel Index (r = -0.598, p < 0.001), and moderate correlations with various subscales of SF-36 (r = -0.574 to -0.661). However, no significant correlations were found between JFS-C and SF-36 mental health (r = -0.363, p < 0.001) or role emotional (r = -0.350, p < 0.001). Based on the reference standard of the Frail scale phenotype (score ≥ 2), the cutoff value for JFS-C was determined to be 3.

Conclusion

JFS-C demonstrates good reliability and validity in assessing frailty among the older population in China.

The Association between Dietary Protein Diversity and Protein Patterns with Frailty in Older Chinese Adults: A Population-Based Cohort Study

OBJECTIVES

Frailty is a pervasive condition among older people worldwide. Despite the association between higher protein intake and lower frailty risk has been well documented, older individuals encounter barriers to enhancing their protein consumption due to reduced appetite and impaired digestive capacity. This study aims to delve into the potential correlation between dietary protein diversity, protein patterns, and the risk of frailty among older Chinese individuals.

DESIGN

Prospective cohort study.

SETTING

Community-based.

PARTICIPANTS

2,216 participants aged 65 and above and not frail at the baseline were recruited from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) dataset spanning from 2014 to 2018.

MEASUREMENTS

Dietary protein diversity was evaluated utilizing a protein diversity score (PDS), calculated based on the results of a food frequency questionnaire. Dietary protein patterns were identified by employing principal component analysis (PCA). Frailty was ascertained using a 40-item frailty index (FI) where FI > 0.21 indicated frailty. Logistic analysis was employed to investigate the association between dietary variables and frailty.

RESULTS

541 participants were identified as frail after a 4-year follow-up. After adjusting for confounders, each 1-unit increase in PDS was linked to a 10% decrease in frailty risk. Compared to individuals with PDS ≤ 1, those with PDS scores of 2-3, 4-5, and 6 had lower risks of frailty, with OR (95% CI) of 0.78 (0.58-1.06), 0.58 (0.38-0.87), 0.42 (0.20-0.81), respectively (P trend = 0.038). Individuals who consistently maintained high PDS demonstrated a lower frailty risk in contrast to those who maintained low PDS (OR = 0.60, 95% CI, 0.41-0.87). Additionally, the "meat-fish" pattern exhibited a protective association with frailty, with OR Q4 versus Q1 (95% CI) of 0.54 (0.40-0.74), P trend < 0.001.

CONCLUSION

Maintaining a variety of dietary protein sources and following a "meat-fish" protein pattern might decrease the likelihood of frailty among the older Chinese population.