The relationship between frailty and diabetes: An investigation of self-rated health, depression symptoms and quality of life in the Study of Health Aging and Retirement in Europe

Regional differences in frailty among older adults with type 2 diabetes: a multicenter cross-sectional study in Japan

BACKGROUND

Social environment may broadly impact multifaceted frailty; however, how environmental differences influence frailty in older adults with diabetes remains unclear. This study aimed to investigate regional differences in frailty in urban and rural areas among older adults with diabetes.

METHODS

This cross-sectional study was conducted as part of the frailty prevention program for older adults with diabetes study. Older adults aged 60-80 years who could independently perform basic activities of daily living (ADLs) were enrolled sequentially. Trained nurses obtained patient background, complications, body weight, body composition, blood tests, grip strength, frailty assessment, and self-care score results. Regional differences in frailty were evaluated using logistic and multiple linear regression analyses.

RESULTS

This study included 417 participants (269 urban and 148 rural). The prevalence of robustness was significantly lower in rural areas than in urban areas (29.7% vs. 43.9%, p = 0.018). Living in rural areas was associated with frailty (odds ratio [OR] 2.55, 95% confidence interval [CI] 1.38-4.71) and pre-frailty (OR 2.10, 95%CI 1.30-3.41). Lower instrumental ADL (B 0.28, standard error [SE] 0.073) and social ADL (B 0.265, SE 0.097) were characteristics of rural residents.

CONCLUSIONS

Regional differences in frailty were observed. Older adults with diabetes living in rural areas have a higher risk of frailty owing to a decline in instrumental and social ADLs. Social environment assessment and intervention programs that include communication strategies to enable care and social participation across environments are crucial to the effective and early prevention of frailty.

Exploring factors associated with self-rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe

BACKGROUND

Self-rated health (SRH), a measure of self-reported general health, is a robust predictor of morbidity and mortality in various populations, including people with diabetes. Diabetes is negatively associated with SRH and quality of life (QoL). Little is known about how people with diabetes rate their health and which aspects influence the rating. Also, the predictive value of SRH on future QoL has not yet been evaluated.

METHODS

We analyzed data from 46 592 participants of the Survey of Health, Ageing and Retirement in Europe (SHARE). Using linear regression, we aimed to determine which sociodemographic, socioeconomic, medical, social, mental, and health behavior factors determine SRH in people with diabetes. In addition, we analyzed the predictive value of SRH on future QoL using the generalized estimating equations procedure.

RESULTS

We determined that country, current job situation, hospitalization, pain, polypharmacy, memory, eyesight, activities of daily living, number of chronic diseases, and depression are all linked to SRH. Together these variables explained 38% of the SRH's variance, whereas depression, pain, and memory had the greatest influence on SRH of people with diabetes. We also found that SRH independently predicted future QoL, supported by a regression coefficient of β = -1.261 (Wald chi-square test, χ2 = 22.097, df = 1, p < .05).

CONCLUSIONS

As SRH is linked to future QoL, we conclude that incorporating SRH assessment into medical evaluations can help health care professionals gaining a more comprehensive understanding of an individual's health trajectory and supporting patients to enhance their QoL.

The impact of a diabetes diagnosis on health and well-being: Findings from the English Longitudinal Study of Ageing

BACKGROUND

Poorer health and well-being are associated with diabetes risk. However, little is known about the trajectory of health and well-being from before to after diabetes diagnosis. We compared depressive symptoms, quality of life, self-rated health, and loneliness at three time points (prediagnosis, diagnosis, 2-4 years post diagnosis) in individuals who developed diabetes and a comparison group.

METHODS

Health and well-being measures were self-reported by 3474 participants from the English Longitudinal Study of Ageing. Repeated measures analysis of variance and generalized estimating equations were used to investigate differences by group, time, and group-by-time interactions.

RESULTS

A total of 473 (13.6%) participants developed diabetes. The diabetes group reported greater depressive symptoms (W2(1) = 20.67, p < .001) and lower quality of life (F = 1, 2535 = 10.30, p = .001) and were more likely to rate their health as fair/poor (W2(1) = 67.11, p < .001) across time points, adjusting for age, sex, and wealth. They also reported greater loneliness (F = 1, 2693 = 9.70, p = .002) in unadjusted analyses. However, this was attenuated to the null in adjusted analyses. The group-by-time interaction was significant for quality of life (F = 1.97, 5003.58 = 5.60, p = .004) and self-rated health (W2(2) = 11.69, p = .003), with a greater decline in these measures over time in the diabetes group in adjusted analyses.

CONCLUSION

People who received a diabetes diagnosis had greater depressive symptoms, lower quality of life, and poorer self-rated health than those who did not develop diabetes. Quality of life and self-rated health deteriorated more rapidly following a diagnosis. Screening for these factors around the time of diagnosis could allow for interventions to improve the health and well-being of those with diabetes.

Cognitive frailty in older adults with diabetes: prevalence and risk factors

In older adults living with diabetes, there is a higher prevalence of frailty and a greater risk of cognitive impairment. Cognitive frailty is defined by the presence of both and is associated with an increased risk of mortality. A systematic review was undertaken to estimate the prevalence of cognitive frailty in community-dwelling older adults living with diabetes and associated risk factors. This commentary critically appraises the review and explores the implications of the findings for community practice.

Perspectives on Aging and Quality of Life

The aging of the world's population and the health problems accompanying it are becoming increasingly severe. Healthcare policies in developed countries focus on how to prevent and treat diseases associated with aging and how to maintain quality of life. Typical age-related diseases include deafness, cataracts, osteoarthritis, chronic obstructive pulmonary disease, diabetes mellitus, and dementia. Although the mechanisms by which these diseases develop differ, they are all caused by the accumulation of molecular and cellular damage over time. In addition, age-related diseases can cause a decline in physical and mental functions and the ability to perform activities of daily living, as well as the loss of roles in society and a sense of fulfillment in life. Therefore, there is a need for treatment and measures to accurately grasp and maintain quality of life. This review aims to introduce areas and representative papers expected to be contributed to the special issue of "Aging and Quality of Life".

Determinants of depressive symptoms in older outpatients with cardiometabolic diseases in a Japanese frailty clinic: Importance of bidirectional association between depression and frailty

INTRODUCTION

Frailty and depression may play important roles in the management of older patients with cardiometabolic diseases. We explored the determinants of depressive symptoms and their association with frailty among patients with cardiometabolic diseases (hypertension, diabetes, and atrial fibrillation) in a cross-sectional study.

METHODS

A total of 633 outpatients aged 65 years or older with cardiometabolic disease and suspected symptoms of frailty participated in this study. Depressive symptoms, physical activity, and social network were assessed using the Geriatric Depression Scale (GDS)-15, International Physical Activity Questionnaire, and Lubben Social Network Scale-6 (LSNS-6), respectively. Frailty was evaluated using the Kihon Checklist (KCL) based on the Comprehensive Geriatric Assessment (CGA), the modified Cardiovascular Health Study (mCHS), and the Clinical Frailty Scale (CFS). Binomial logistic regression analysis was used to examine the determinants of depressive symptoms and their association with frailty.

RESULTS

Depressive symptoms with GDS-15 scores ≥ 5 were present in 43.6% of the patients. In logistic regression, after adjusting for covariates, the determinants of depressive symptoms in all patients were lack of social network, low years of education, and frailty. In contrast, in logistic regression with frailty as the dependent variable, depressive symptoms were independently associated KCL-defined frailty (OR = 6.28, 95% CI: 4.13-9.55) and mCHS-defined frailty (OR = 2.66, 95% CI: 1.70-4.17), but not with CFS. Similarly, significant associations between depression and frailty were observed in patients with hypertension, diabetes, or atrial fibrillation.

CONCLUSIONS

Lack of social networks, low education, and frailty based on the KCL and mCHS were important determinants of depressive symptoms in all patients. The relatively strong associations between depressive symptoms and frailty based on CGA in patients with hypertension, diabetes, or atrial fibrillation suggest that the assessment of depressive symptoms is of great importance in clinical practice in those patients at high risk of frailty.

Glucose profiles of older adults with type 1 diabetes using sensor-augmented pump therapy in Australia: pre-randomisation results from the ORACL study

BACKGROUND

Older adults with type 1 diabetes are recommended modified glucose targets. However, data on the effects of diabetes technology in older age are scarce. We assessed older adults established on sensor-augmented insulin pump therapy during clinical trial run-in and compared their continuous glucose monitoring (CGM) profiles with consensus recommendations. We aimed to provide insight into the applicability of currently recommended CGM-based targets while accounting for current Diabetes UK guidelines.

METHODS

In this analysis, adults aged 60 years or older with type 1 diabetes with a duration of at least 10 years and entering the Older Adult Closed Loop (ORACL) trial were studied. The trial was done at two tertiary hospitals in Australia. Individuals who were independent with diabetes self-management, as well as those receiving caregiver assistance for their diabetes management, were eligible for inclusion. Participants underwent baseline clinical assessment, which included medical history and examination, testing for frailty, functional ability, cognitive functioning, psychosocial wellbeing, and subjective sleep quality; fasting venous blood samples were collected for C-peptide, glucose, and glycated haemoglobin A_1c measurement. Sensor-augmented pumps, carbohydrate-counting education, and diabetes education were provided to participants by diabetes nurse educators, dietitians, and endocrinologists experienced in type 1 diabetes clinical care. CGM data were subsequently collected for 2 weeks during sensor-augmented pump therapy. The ORACL trial is registered with the Australian New Zealand Clinical Trial Registry, ACTRN12619000515190.

FINDINGS

Our analysis included all 30 participants who completed the ORACL trial run-in-19 (63%) women and 11 (37%) men (mean age 67 years [SD 5], median diabetes duration 38 years [IQR 20-47], and insulin total daily dose 0·55 units [0·41-0·66] per kg bodyweight). Ten (33%) of 30 participants had impaired hypoglycaemia awareness and six (20%) were pre-frail; none were frail. The median CGM time in range 3·9-10·0 mmol/L was 71% (IQR 64-79). The time spent with glucose above 10·0 mmol/L was 27% (18-35) and above 13·9 mmol/L was 3·9% (2·4-10·2). The time with glucose below 3·9 mmol/L was 2·0% (1·2-3·1) and the time below 3·0 mmol/L was 0·2% (0·1-0·4). Only two (7%) of 30 participants met all CGM-based consensus recommendations modified for older adults. Time in hypoglycaemia was lower among the 16 participants with predictive low-glucose alerts enabled than among the 14 participants not using predictive low-glucose alerts (median difference -1·1 percentage points [95% CI -2·0 to -0·1]; p=0·038). This difference was even greater overnight (-2·3 percentage points [-3·2 to -1·0]; p=0·0018). One serious adverse event occurred (elective cardiac stent).

INTERPRETATION

Using sensor-augmented pumps after multidisciplinary education, this group of older adults without frailty achieved a time in range far exceeding minimum consensus recommendations. However, the current stringent hypoglycaemia recommendations for all older adults were not met. Predictive low alerts could reduce hypoglycaemia, particularly overnight. Investigation into the effectiveness of CGM-based targets that consider frailty, functional status, and diabetes therapies for older adults is warranted.

FUNDING

JDRF and Diabetes Australia.

Food insecurity associated with higher COVID-19 infection in households with older adults

OBJECTIVES

As a well-documented social determinant of health, food insecurity may be associated with COVID-19 infection in households with older adults. We examined whether older adults were vulnerable to COVID-19 infection during the early pandemic if they were food insecure versus food secure.

STUDY DESIGN

A cross-sectional study using a nationally representative population-based survey of US older adults.

METHODS

We used a random subsample of Health and Retirement Study (HRS) drawn in June 2020 (N = 3212). We compared the odds of reporting COVID-19 infection in a household, COVID-19 infection and mortality among acquaintances, and respondent's perceived fair or poor health across household food insecurity status resulted from financial or non-financial barriers. Baseline health and socioeconomic circumstances were adjusted in the models.

RESULTS

Results showed a higher COVID-19 infection rate among food-insecure households than among their food-secure counterparts during the pandemic. Food insecurity due to non-financial obstacles was associated with greater likelihood of COVID-19 infection both within respondents' households (adjusted odds ratio [aOR] = 1.73, 95% confidence interval [CI]: 1.03-2.90) and among their acquaintances (aOR = 1.32, 95% CI: 1.05-1.65). Food insecurity caused by both non-financial and financial constraints was associated with twice the likelihood of knowing someone who died from COVID-19 than their food-secure counterparts (aOR = 2.14, 95% CI: 1.27-3.61).

CONCLUSIONS

Food insecurity driven by non-financial constraints played an important role in the ongoing pandemic among US older adults. Policies addressing COVID-19 need to recognize the vulnerability of food-insecure older adults beyond lack of monetary resources.