Editorial: Frailty and Seasonality

Changes in Physical Function and Physical Therapy Use in Older Veterans Not Infected by CoVID-19 Residing in Community Living Centers during the CoVID-19 Pandemic

OBJECTIVES

Examine physical function change and physical therapy (PT) use in short-stay and long-stay residents not infected by CoVID-19 within Veterans Affairs (VA) Community Living Centers (CLCs).

DESIGN

Retrospective cohort study using Minimum Data Set (MDS) 3.0 assessments.

SETTINGS AND PARTICIPANTS

12,606 Veterans in 133 VA CLCs between September 2019 and September 2020.

METHODS

Difference in physical function [MDS Activities of Daily Living Score (MDS-ADL)] and PT use (minutes in past 7 days) from admission to last assessment in a period were compared between the pre-CoVID-19 (September 2019 to February 2020) and early CoVID-19 (April 2020 to September 2020) period using mixed effects regression with multivariable adjustment. Assessments after a positive CoVID-19 test were excluded. Differences were examined in the sample and repeated after stratifying into short- and long-stay stratums.

RESULTS

Veterans admitted during early CoVID-19 had more comorbidities, worse MDS-ADL scores, and were more often long-stay residents compared with those admitted during pre-CoVID-19. In comparison to pre-CoVID-19, Veterans in VA CLCs during early CoVID-19 experienced greater improvements in their MDS-ADL (-0.49 points, 95% CI -0.27, -0.71) and received similar minutes of therapy (2.6 minutes, 95% CI -0.8, 6.0). Stratification revealed short-stay residents had relative improvements in their function (-0.69 points, 95% CI -0.44, -0.94) and higher minutes of PT (5.1 minutes, 95% CI 0.9, 9.2) during early CoVID-19 whereas long-stay residents did not see differences in functional change (0.08 points, 95% CI -0.36, 0.51) or PT use (-0.6 minutes, 95% CI -6.1, 4.9).

CONCLUSIONS AND IMPLICATIONS

During early CoVID-19, physical function improved while the amount of PT received was maintained compared with pre-CoVID-19 for Veterans in VA CLCs. Short-stay residents experienced greater improvements in physical function and increases in PT use. These findings may be partly due to selection bias relating to Veterans admitted to CLCs during early CoVID-19.

Frailty, Seasonal Sensitivity and Health-related Quality of Life in Older People Living in High Southern Latitudes: a Bayesian Analysis

Background

In older people, a notable research gap exists regarding the intricate dynamics between frailty, seasonal sensitivity, and health-related quality of life (HRQoL). This study aimed to determine the association between frailty, seasonal sensitivity, and HRQoL in older people from high southern latitudes.

Methods

A cross-sectional observational study was conducted. Frailty, seasonal sensitivity, and HRQoL measurements were self-reported by participants through questionnaires. A total of 118 older people were recruited from a local community. The participants were selected through intentional non-probabilistic sampling.

Results

The adjusted models showed a trend where lower education was associated with a higher risk of frailty (BF = 0.218). For frailty and HRQoL, we observed a trend suggesting that HRQoL decreases with increasing severity of frailty (BF = 1.76). In addition, we observed a linear effect based on the severity of seasonal sensitivity, meaning that older people with higher perceived severity report a proportional decrease in HRQoL (BF = 6.66).

Conclusion

Sociodemographic factors, such as lower education levels, have increased the risk of frailty. At the same time, frailty and seasonal sensitivity perceived severity were associated with a lower HRQoL in older people.

Excess winter mortality in Finland, 1971-2019: a register-based study on long-term trends and effect modification by sociodemographic characteristics and pre-existing health conditions

OBJECTIVES

Excess winter mortality is a well-established phenomenon across the developed world. However, whether individual-level factors increase vulnerability to the effects of winter remains inadequately examined. Our aim was to assess long-term trends in excess winter mortality in Finland and estimate the modifying effect of sociodemographic and health characteristics on the risk of winter death.

DESIGN

Nationwide register study.

SETTING

Finland.

PARTICIPANTS

Population aged 60 years and over, resident in Finland, 1971-2019.

OUTCOME MEASURES

Age-adjusted winter and non-winter death rates, and winter-to-non-winter rate ratios and relative risks (multiplicative interaction effects between winter and modifying characteristics).

RESULTS

We found a decreasing trend in the relative winter excess mortality over five decades and a drop in the series around 2000. During 2000-2019, winter mortality rates for men and women were 11% and 14% higher than expected based on non-winter rates. The relative risk of winter death increased with age but did not vary by income. Compared with those living with at least one other person, individuals in institutions had a higher relative risk (1.07, 95% CI 1.05 to 1.08). Most pre-existing health conditions did not predict winter death, but persons with dementia emerged at greater relative risk (1.06, 95% CI 1.04 to 1.07).

CONCLUSIONS

Although winter mortality seems to affect frail people more strongly-those of advanced age, living in institutions and with dementia-there is an increased risk even beyond the more vulnerable groups. Protection of high-risk groups should be complemented with population-level preventive measures.

Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology

Frailty is an age-related clinical condition characterised by an increased susceptibility to stressors and an elevated risk of adverse outcomes such as mortality. In the light of global population ageing, the prevalence of frailty is expected to soar in coming decades. This narrative review provides critical insights into recent developments and emerging practices in frailty research regarding identification, management, risk factors, and prevention. We searched journals in the top two quartiles of geriatrics and gerontology (from Clarivate Journal Citation Reports) for articles published between 01 January 2018 and 20 December 2022. Several recent developments were identified, including new biomarkers and biomarker panels for frailty screening and diagnosis, using artificial intelligence to identify frailty, and investigating the altered response to medications by older adults with frailty. Other areas with novel developments included exercise (including technology-based exercise), multidimensional interventions, person-centred and integrated care, assistive technologies, analysis of frailty transitions, risk-factors, clinical guidelines, COVID-19, and potential future treatments. This review identified a strong need for the implementation and evaluation of cost-effective, community-based interventions to manage and prevent frailty. Our findings highlight the need to better identify and support older adults with frailty and involve those with frailty in shared decision-making regarding their care.

Physical and Mental Health Differences Reported by Three Age Groups of Older Adults With Diabetes

Most studies have classified older adults with diabetes into one group despite substantial variation in health status across different stages of late adulthood. In this study, we examined difference in self-reported physical and mental health among three age groups of older adults with diabetes. Using data from the 2016 National Social Life, Health and Aging Project, Wave 3, we classified 424 individuals diagnosed with diabetes into three age groups, young-old (YO): 50-64 years; middle-old (MO): 65-74; and oldest old (OO): 75+ years. A one-way multivariate analysis of covariance was used to assess group differences, followed by univariate analyses. The results indicate that the YO group reported significantly lower physical health and higher depression than the MO group and higher levels of loneliness than the MO and OO groups. These findings indicate that physical and mental health may differ among different age groups of older adults with diabetes and suggest that the YO might be more vulnerable to diminished physical and mental health than the other age groups.

Risk Factors for Frailty in Critical Care Survivors: A secondary analysis

OBJECTIVES

The purpose of this study was to investigate the prevalence of frailty and its risk factors among critical care survivors who were discharged after receiving treatment in an intensive care unit.

METHODS

This was a secondary analysis using data from a methodological study conducted between June and August 2018. The sample included 494 adults who had been admitted to the intensive care unit for more than 48 hours within a year. Only post-intensive care frailty was evaluated using the Kihon Checklist. The sociodemographic and intensive care-related risk factors for frailty were analysed using multivariate logistic regression.

RESULTS

The prevalence of frailty in the sample was 65.8%. The risk factors for frailty were female sex (adjusted odds ratio [aOR] = 1.68, 95% CI: 1.02-2.78), aged 70 years or older (aOR = 4.16, 95% CI: 2.00-8.65), unemployment (aOR = 2.41, 95% CI: 1.39-4.17) and longer ICU days (aOR = 2.29, 95% CI: 1.35-3.91). Analysis of differences in risk factors according to sex revealed that risk factors for frailty were unemployment and longer ICU length of stay for male and older age for female.

CONCLUSION

Health care providers should be aware of frailty risk factors in female and male patients and provide patient-specific interventions for preventing frailty.

Age-Related Frailty: A Clinical Model for Geroscience?

In their everyday practice, geriatricians are confronted with the fact that older age and multimorbidity are associated to frailty. Indeed, if we take the example of a very old person with no diseases that progressively becomes frail with no other explanation, there is a natural temptation to link frailty to aging. On the other hand, when an old person with a medical history of diabetes, arthritis and congestive heart failure becomes frail there appears an obvious relationship between frailty and comorbidity. The unsolved question is: Considering that frailty is multifactorial and in the majority of cases comorbidity and aging are acting synergistically, can we disentangle the main contributor to the origin of frailty: disease or aging? We believe that it is important to be able to differentiate age-related frailty from frailty related to comorbidity. In fact, with the emergence of geroscience, the physiopathology, diagnosis, prognosis and treatment will probably have to be different in the future.