Association between Perceived Health-Related Quality of Life and Depression with Frailty in the FRASNET Study

Assessment of the relation between depression, frailty, nutrition and quality of life among older adults: findings from a cross-sectional study in Greece

BACKGROUND

Quality of life (QOL) among older adults is a crucial aspect of geriatric care, particularly in the context of global demographic shifts toward ageing societies. Understanding the determinants of QOL in older adults is essential for developing effective interventions to promote well-being in this population.

METHODS

This cross-sectional study conducted in Greece aimed to investigate the complex relationship between depression, frailty, nutritional status, and QOL on 90 older adults (aged ≤65). Assessment instruments including the World Health Organization Quality of Life (WHOQoL)-BREF questionnaire, Geriatric Depression Scale (GDS), Clinical Frailty Scale (CFS), and Mini Nutritional Assessment (MNA) were utilised to evaluate various dimensions of QOL, depressive symptoms, frailty, and nutritional status.

RESULTS

The study revealed significant negative correlations between depression and frailty with all domains of QOL (P < 0.05), indicating that higher levels of depressive symptoms and frailty were associated with lower QOL across physical, psychological, social, and environmental dimensions. Conversely, positive correlations were found between nutritional status and all QOL domains (P < 0.05), suggesting that better nutritional status was linked to higher QOL. Multivariate logistic regression analysis further demonstrated associations between nutritional status and participant characteristics, with females being more likely to be malnourished (odds ratio (OR) = 6.56, P = 0.013), while better health status (OR = 0.34, P = 0.486) and marital status (OR = 0.02, P = 0.019) were protective against malnutrition.

CONCLUSION

These findings underscore the interconnectedness of depression, frailty, and nutritional status in shaping QOL among individuals. Holistic interventions targeting mental health, physical vulnerability, and nutritional well-being are essential for promoting overall well-being and functional outcomes in this population.

Sarcopenic obesity and pre-sarcopenia contribute to frailty in community-dwelling Italian older people: data from the FRASNET study

BACKGROUND

The ageing process is characterized by a change of body composition with an increase of fat mass and a reduction of muscle mass. Above a certain threshold these alterations configure a condition named sarcopenic obesity (SO). SO is associated with physical frailty in Asian and Brazilian populations. SO impacts on physical frailty in other ethnic groups but its influence on general frailty which is multidimensional and includes cognitive, social and physical factors, remain insufficiently explored in the Italian population.

METHODS

Frailty was measured in community dwelling Italian older adults enrolled in the FRASNET study with the frailty index (FI). The FI quantifies frailty as the ratio of the number of present health deficits to the total number of health deficits considered. Regression analyses were performed to assess the association between body composition categories and frailty. Classification and regression tree models were run to evaluate the frailty predictors.

RESULTS

One Thousand One Hundred Fourteen participants of the FRASNET study were included in the present analysis. The sample was composed for the 60.5% by females and its median age was 72 years. The median FI score was 0.11 (IQR 0.07-0.20); 234 individuals (21%) were frail (FI ≥ 0.25). SO (B 0.074, 95% C.I. 0.05-0.1, p < 0.001) and pre-sarcopenia (without obesity B 0.03, 95% C.I, 0.007-0.044, p < 0.001, with obesity B 0.11, 95% C.I. 0.05-0.16, p < 0.001) were associated with frailty. Fat mass percentage predicted frailty in people aged 65-70 years whereas, muscle strength predicted general frailty in people aged 70-81 years.

CONCLUSION

Pre-sarcopenia and SO represent potentially treatable predictors of frailty.

To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty

Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.