Could Frailty be an Explanatory Factor of the Association between Depression and Other Geriatric Syndromes in Later Life?

OBJECTIVES: This study aimed to investigate whether frailty could be an explanatory factor of the association between depression and the number of geriatric syndromes. METHODS: Cross-sectional baseline data from a cohort study (MiMiCS-FRAIL) were analyzed in a sample of 315 older adults. Depression was measured according to DSM-5 criteria and a self-report questionnaire (PHQ-9). Frailty was assessed according to the FRAIL questionnaire and a 30-item Frailty Index (FI). We considered six geriatric syndromes. Multiple linear regression analyses were performed and adjusted for potential confounders. RESULTS: Multiple linear regression analyses yielded significant associations between depression and geriatric syndromes. These associations decreased substantially in strength when frailty was added to the models. Findings were consistent for different definitions of depression and frailty. CONCLUSIONS: Among depressed patients, frailty may be hypothesized as a causal pathway toward adverse health outcomes associated with depression. Longitudinal studies should explore the causality of this association. CLINICAL IMPLICATIONS: Frailty should be treated or prevented in order to minimize the impact of other geriatric syndromes among depressed older adults. Screening for frailty would be of utmost importance in mental health care, as frailty is neglected especially in this field. Integrated care models are crucial for clinical practice in mental illness care.

The association between appetite loss, frailty, and psychosocial factors in community-dwelling older adults adults.

BACKGROUND: Appetite loss (AL) in older adults can reduce energy and nutrient intake, increasing the risk of weight loss, sarcopenia, frailty, and ultimately, mortality. The identification of associated factors to AL is important to plan different interventions. AIMS: To identify the association between appetite loss, frailty, and psychosocial factors in community-dwelling older adults. METHODS: Cross-sectional analysis of the cohort study MiMiCS-FRAIL based in Jundiai City, São Paulo, Brazil. Patients 60+ years old were evaluated from January 2019 to August 2020. The AL (dependent variable) was evaluated through the SNAQ questionnaire; the independent variables were: frailty (identified by frailty index-36; FI-36) which is based on the accumulation of deficits; depressive symptoms (GDS scale); ethnicity, and years of formal schooling, both used as proxies of socioeconomic status. The associations were investigated using logistic regression models (crude and multiple). MAIN RESULTS: The final sample included 122 older adults, 58.2% of women, mean age of 71.7 years, 80.3% White, and low educational level (5.8 ± 4.3 years of formal schooling). We found 19.6% of the sample presenting AL. The final regression models showed independent and significant association between AL and age (OR = 1.11; 95%IC = 1.03-1.20; p < 0.01), being non-White (OR = 6.47; 95%IC = 1.63-25.58; p < 0.01), and presence of depressive symptoms (OR = 8.38; 95%IC = 2.31-30.47; p < 0.01). However, years of formal schooling, gender, and FI-36 remained statistically non-significant in the model. CONCLUSION: Our data pointed to the presence of depressive symptoms and social variables as significant factors associated with AL. Further studies with more robust samples or longitudinal design will clarify some unanswered questions of our study.

Factors related to malnutrition and their association with frailty in community-dwelling older adults registered at a geriatric clinic.

BACKGROUND: We hypothesized that factors related to malnutrition, namely low muscle mass, appetite loss, and adiposity, are associated with frailty and pre-frailty in community-dwelling older adults. AIMS: To identify the prevalence of frailty and pre-frailty in a Brazilian convenience sample and test the association between these conditions and malnutrition-related factors. METHODS: This is a cross-sectional analysis of an ongoing community project. We studied 106 older adults (≥60 years old). Frailty (dependent variable) was screened using the FRAIL-BR scale. The independent variables were appetite loss (AL), screened from the SNAQ questionnaire; sarcopenia risk, investigated by SARC-F; body adiposity, estimated by the body mass index (BMI); visceral adiposity, estimated by waist circumference (WC) and the combination of these two indicators. The associations were investigated using multinomial logistic regression models. MAIN RESULTS: We found, from our sample, 30.2 % pre-frail and 31.1 % frail participants. The frail and pre-frail were older than the non-frail; the frail ones presented a higher proportion of sarcopenia risk and a higher proportion of AL. From the multiple regression models, frailty conditions showed significant association with the AL (OR = 0.68; p = 0.012 and OR = 0.64; p = 0.009 for pre-frail and frail, respectively) and with sarcopenia risk (OR = 3.24; p = 0.001 and OR = 5.34; p < 0.011 for pre-frail and frail respectively). The adiposity indicated by waist circumference, and age, remained in the final model only as adjusting variables but without statistical significance. CONCLUSIONS: in our convenience sample of older adults, frailty and pre-frailty showed significant association with appetite loss and sarcopenia risk, but not with adiposity indicators. Future studies are needed to better understand our findings.