Falls, frailty, and metabolic syndrome in urban dwellers aged 55 years and over in the Malaysian elders longitudinal research (MELoR) study - a cross-sectional Study

Medication self-management among older adults with cognitive frailty

BACKGROUND

Independent and safe medication self-management is essential for successful aging. Nevertheless, how older adults with cognitive frailty (CF) self-manage medications at their own homes remain elusive.

OBJECTIVE

This study aimed at assessing the medication self-management capability of home-dwelling older adults with CF and exploring the ways, perceived challenges and barriers in medication self-management.

METHODS

A convergent mixed-method study design was used. The medication management capability of 16 CF individuals aged ≥ 60 years on ≥ 1 long-term prescription drugs were assessed using the Drug Regimen Unassisted Grading Scale (DRUGS). Virtual in-depth interviews were also performed between July-August 2022 using a semi-structured interview guide. All interviews were audio-recorded and transcribed verbatim. Qualitative data were analysed using a thematic analysis approach guided by Bailey and colleagues' model of medication self-management.

RESULTS

The mean DRUGS summary score was 96.86 [standard deviation (SD) 3.74] with highest performance scores observed in medication access (100 %) and lowest performance score in medication identification (91.46 %). Informants were able to independently take their medications and they tended to organise their medication intakes according to mealtime even though some admitted missing medication doses due to forgetfulness. Informants had difficulties with recalling drug names, with little awareness of self-monitoring their own health conditions and the effects of medications. Misconceptions towards medications, difficulties in accessing medications, reduced mobility and worsening health conditions could potentially deter informants from safe and independent medication self-management. In contrast, trust in doctors and a desire to achieve treatment goal could motivate medication self-management.

CONCLUSION

The findings revealed knowledge gaps among older adults with CF in identifying their medications and self-monitoring which warrant reinforcement by healthcare professionals to ensure chronic safe medication use. Future studies should evaluate strategies to enhance medication safety in terms of self-monitoring in individuals with CF.

Associations among frailty status, hypertension, and fall risk in community-dwelling older adults

Objectives

Frailty and hypertension often coexist in older adults, which may lead to fall risks. This study aimed to examine the relationship between frailty status, hypertension, and fall risk.

Methods

In this cross-sectional study, a total of 401 older adults were conveniently recruited from communities in Wuxi, China, between September 2022 and November 2022. The fall risk self-assessment checklist from the Stopping Elderly Accidents, Deaths & Injuries (STEADI) Toolkit was used to evaluate their fall risks. The FRAIL scale questionnaire was used to assess frailty status. Participants' demographic information and comorbidities were collected. Multivariate logistic regression, generalized additive model, and smooth curve fitting were used to analyze the association between frailty, hypertension, and fall risk.

Results

Frailty had a strong association with increased prevalence of fall risk among the participants (OR 8.52, 95% CI 3.21-22.57; P < 0.001). Hypertension significantly increased the fall risk among older adults (OR 1.87, 95% CI 1.11-3.13; P = 0.019). The group with hypertension and frailty had the highest prevalence of fall risk (OR 12.24, 95% CI 3.51-42.65). Smooth curve fitting showed a nonlinear association between frailty and fall risk in hypertension status. In the progress of pre-frailty to frailty status, a higher tendency to fall was found among older adults with hypertension.

Conclusions

Frailty status and hypertension independently and jointly influenced the increased prevalence of fall risk. Enhanced frailty and hypertension management may help decrease fall risk among this population.

Metabolic syndrome is associated with an increased risk of falls in the elderly

Numerous studies have investigated the causes of falls in the elderly. However, there is little information about metabolic syndrome (MS) as a risk factor for falls in older adults. No evaluations have given a qualitative overview of studies examining the relationship between MS and falls in the elderly. We did a literature search in electronic databases to look for studies that assessed a link between MS and falls among people over the age of 55 years. We found three studies of high quality. These included 2774 people with an average age of 72 years. Even after controlling for other risk factors, two studies found that MS was significantly associated with an older adult's 1.3-2.5-fold increased risk of falling. We found that MS and its independent components were strongly linked with falls among the elderly, even after correcting for numerous variables.

The risk of falls among the aging population: A systematic review and meta-analysis

Aim

This study aims to clarify the risk factors for falls to prevent severe consequences in older adults.

Methods

We searched the PubMed, Web of Science, Embase, and Google Scholar databases using the terms "risk factors" OR "predicting factors" OR "predictor" AND "fall" OR "drop" to identify all relevant studies and compare their results. The study participants were divided into two groups, the "fall group" and the "control group", and differences in demographic characteristics, lifestyles, and comorbidities were compared.

Results

We included 34 articles in the analysis and analyzed 22 factors. Older age, lower education level, polypharmacy, malnutrition, living alone, living in an urban area, smoking, and alcohol consumption increased the risk of falls in the aging population. Additionally, comorbidities such as cardiac disease, hypertension, diabetes, stroke, frailty, previous history of falls, depression, Parkinson's disease, and pain increased the risk of falls.

Conclusion

Demographic characteristics, comorbidities, and lifestyle factors can influence the risk of falls and should be taken into consideration.

The association between metabolic syndrome and presence of frailty: a systematic review and meta-analysis

BACKGROUND

Frailty represents a progressive deterioration in multi-system of the body and could increase vulnerability to stressors. Recently, several studies found that metabolic syndrome was significantly associated with frailty and emphasized its role in assessing and preventing frailty. However, these conclusions are controversial. We conducted this systematic review and meta-analysis to evaluate the association between metabolic syndrome and frailty.

METHODS

Databases including Pubmed, Embase, Web of Science, CINAHL Complete, China National Knowledge Infrastructure (CNKI) and Wanfang Data Knowledge Service Platform were searched for studies on the association between metabolic syndrome and frailty, from inception to 17th June 2022. Two researchers independently screened the literature, extracted the data and evaluated the quality. Stata/SE 15.0 software was used to perform the statistical analysis.

RESULTS

Eleven studies were included in this review and eight studies were included in the meta-analysis, involving one prospective cohort studies and ten cross-sectional studies with 12,640 participants. The pooled results indicated that metabolic syndrome was significantly associated with frailty (OR = 1.82, 95% CI = 1.46-2.27) with a low heterogeneity (I² = 32.1%), and there were significant associations between MetS and weakness (OR = 1.35, 95% CI = 1.15-1.58, I² = 0.0%), slow gait speed (OR = 1.80, 95% CI = 1.51-2.14, I² = 93.4%), weight loss (OR = 1.77, 95% CI = 1.36-2.29, I² = 0.0%) and decreased physical activity (OR = 1.87, 95% CI = 1.49-2.35, I² = 39.7%).

CONCLUSIONS

The findings of this systematic review and meta-analysis suggested that metabolic syndrome could be significantly associated with the presence of frailly. Future studies need to further consider the effects of measurement tools, age and specific disease status in this association. Furthermore, the casual relationship between them is to be determined.

Metabolic syndrome and fragility fracture risk

INTRODUCTION

The prevalence of metabolic syndrome has been reported to extremely vary depending on the gender, age, and ethnicity studied. Approximately, 25% of the worldwide adult population is affected by metabolic syndrome, indicating it as a significantly important public health challenge. Likewise, fragility fracture represents an important public health issue too, and the lifetime residual risk of its occurrence has been established in 50% in women and 30% in men over 50 years of age, respectively. Dysmobility syndrome summarizes a cluster of co-existing conditions such as osteoporosis, sarcopenia, obesity. Currently, clinical research focuses essentially on the cardiovascular risks associated with metabolic syndrome. Today, it is conceivable to incorporate all these conditions under a generic "disorder of energy metabolism."

EVIDENCE ACQUISITION

Animal and human studies suggest metabolic and dysmobility syndromes negatively impact on the risk for fragility fracture, contributing to increase the associated mortality rate.

EVIDENCE SYNTHESIS

In recent years, strong correlation between type 2 diabetes, a frequent constitutive part of metabolic syndrome and fragility fracture risk has been reported, but the possible molecular mechanisms by which it can occur are still to be defined.

CONCLUSIONS

Only very few human clinical studies faced these aspects, but they lack adequate endpoints for a good clinical practice in these subjects. Much more still needs to be done before appropriate therapeutic diagnostic pathways will be available for these patients at risk of bone and even generalized fragility. Suggestions for a future overall approach by generating global risk score for these conditions are given.

The Association of Physical Function Measures With Frailty, Falls History, and Metabolic Syndrome in a Population With Complex Obesity

Background: Frailty, falls and metabolic syndrome are known to be associated with poorer physical function. This study builds on available research by further investigating the relationship between physical function measures, including those comprising frailty, with metabolic syndrome (MetS) and falls, in the context of complex obesity.

Methods: Participants were recruited from the national Level 3 weight management service in Ireland. A retrospective audit of data gathered at initial assessment was performed. Data included past medical history, blood tests, blood pressure measurement, anthropometrics, falls history, self-reported physical activity levels (PALs) and physical function measures, including hand grip strength (HGS), “timed up and go” (TUG), functional reach (FR), sit to stand (STS) and gait speed. A modified version of the Fried Frailty Index was employed.

Results: Of the 713 participants, 65.1% (n = 464) were female and 34.9% (n = 249) were male with a mean age of 44.2 (±11.7) years and body mass index (BMI) of 50.6 kg/m² (±8.2). Frailty was identified in 3.4% (n = 24), falls in 28.8% (n = 205) and MetS in 55.1% (n = 393). Frailty was associated with older age (53.8 ± 14.3 vs. 43.9 ± 11.5 years), poorer PALs (27.29 ± 46.3 vs. 101.1 ± 147.4 min/wk), reduced grip strength (17.7 ± 4.6 vs. 34.2 ± 11.0 Kg) longer STS (21.7 ± 6.6 vs. 13.7 ± 5.7 s), shorter functional reach (29.7 ± 7.9 vs. 37.9 ± 8.2 cm) and slower gait speed (0.6 ± 0.2 vs. 1.1 ± 0.5 m/s). Those reporting a falls history had a reduced FR (35.8 ± 8.9 vs. 38.3 ± 7.8 cm) and slower STS (15.4 ± 8.0 vs. 13.3 ± 4.7 s). Participants with MetS had lower PALs (83.2 ± 128.2 vs. 119.2 ± 157.6) and gait speed (1.1 ± 0.3 vs. 1.2 ± 0.7 m/s). There was no difference in BMI between fallers and non-fallers (51.34 ± 8.44 vs. 50.33 ± 8.13 Kg/m², p = 0.138), nor between those with or without MetS. Significant associations were found between BMI and all physical function measures except the TUAG.

Conclusion: The associations between frailty, falls and MetS and their combined impact on physical function in people living with obesity demonstrates the need for appropriate screening. Utilising grip strength and gait speed to identify frailty in those with obesity and metabolic syndrome could help target therapies aimed at improving strength, physical function and ultimately quality of life.