OBJECTIVES:The aim of the present study was to investigate whether late-life depression (LLD) is associated with incident frailty over time. DESIGN: Prospective cohort study, one-year follow-up. SETTING: Geriatric outpatient clinic, Southwestern of Brazil. PARTICIPANTS: 181 follow-up participants aged 60 years or over. MEASUREMENTS: Depressive disorders were classified as Major Depressive disorder (MDD) or Subthreshold Depression (STD) according to DSM-5 criteria. Depressive symptoms were assessed with validated versions of 15-item Geriatric Depression Scale (GDS-15) and 9-item Patient Health Questionnaire (PHQ-9). We performed binary logistic regressions to estimate the odds ratio (OR) for frailty in LLD adjusting for multiple confounders. Participants who were frail at baseline were excluded from the analyses according to measures of frailty (FRAIL questionnaire and 36-item Frailty Index, FI-36). We also estimated the risk ratio or relative risk (RR) and the risk difference (RD) for incident frailty. RESULTS: We observed a 2 to 4-fold increased risk for incident frailty among participants with LLD. The presence of a depressive disorder was significantly associated with the onset of frailty (adjusted OR for FRAIL and FI-36: 3.07 [95% CI = 1.03 -9.17] and 3.76 [95% CI = 1.09 -12.97], respectively. Notably, the risk for frailty due to LLD was significantly higher with the FI-36 compared to the FRAIL (RR: 3.03 versus 2.23). RD was of 17.3% and 12.7% with the FRAIL and the FI-36, respectively. CONCLUSION: Our data support the association between LLD and incident frailty over one year among geriatric outpatients, reinforcing longitudinal evidence from population-based studies.
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 selfreport questionnaire (PHQ-9). Frailty was assessed according to the FRAIL questionnaire and a 30item 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.
Background To explore the mutual relationship between multimorbidity, mental illness and frailty, we have set-up the Multimorbidity and Mental health Cohort Study in FRAILty and Aging (MiMiCS-FRAIL) cohort. At the population level, multimorbidity, frailty and late-life depression are associated with similar adverse outcomes (i.e. falls, disability, hospitalization, death), share the same risk factors, and partly overlap in their clinical presentation. Moreover, these three variables may share a common underlying pathophysiological mechanism like immune-metabolic dysregulation. The overall objectives of MiMiCS-FRAIL are 1) to explore (determinants of) the cross-sectional and longitudinal relationship between multimorbidity, depression, and frailty among non-demented geriatric outpatients; 2) to evaluate molecular levels of senoinflammation as a broad pathophysiological process underlying these conditions; and 3) to examine adverse outcomes of multimorbidity, frailty and depression and their interconnectedness. Methods MiMiCS-FRAIL is an ongoing observational cohort study of geriatric outpatients in Brazil, with an extensive baseline assessment and yearly follow-up assessments. Each assessment includes a comprehensive geriatric assessment to identify multimorbidity and geriatric syndromes, a structured psychiatric diagnostic interview and administration of the PHQ-9 to measure depression, and several frailty measures (FRAIL, Physical Phenotype criteria, 36-item Frailty Index). Fasten blood samples are collected at baseline to assess circulating inflammatory and anti-inflammatory cytokines, leukocytes' subpopulations, and to perform immune-metabolic-paired miRome analyses. The primary outcome is death and secondary outcomes are the number of falls, hospital admissions, functional ability, well-being, and dementia. Assuming a 5-year mortality rate between 25 and 40% and a hazard rate varying between 1.6 and 2.3 for the primary determinants require a sample size between 136 and 711 patients to detect a statistically significant effect with a power of 80% (beta = 0.2), an alpha of 5% (0.05), and an R2 between the predictor (death) and all covariates of 0.20. Local ethical board approved this study. Discussion Frailty might be hypothesized as a final common pathway by which many clinical conditions like depression and chronic diseases (multimorbidity) culminate in many adverse effects. The MiMiCS-FRAIL cohort will help us to understand the interrelationship between these variables, from a clinical perspective as well as their underlying molecular signature.
Enterolobium schomburgkii (monkey ear) is important Amazonic forest specie, being used for wood and medicinal purposes and environmental recuperation issues. Biological treatment such as Trichoderma fungus is alternative method that may improve performance of seeds germination and provide healthy seedlings. We aimed to assess effect of Trichoderma fungus on development of E. schomburgkii seedlings. Five isolates of Trichoderma spp., in the concentration of 1.0 x 107 conidia.mL-1, were assessed and applied through four methods: seeds; pre-planting substrate; post-planting substrate; and seed + pre-planting + post-planting substrate. The seedlings were produced in polypropylene bags and kept in nursery for 10 months. The experimental design was completely randomized, in a 5x4+1 factorial scheme, with 10 repetitions. We monthly assessed the plant height, collar diameter and number of leaves and leaflets. After 10 months, we assessed root length, dry matter of aerial part and dry matter of roots system. The results showed that variables were significantly influenced by Trichoderma isolates and its application modes, either individually or under interaction, except on the root length. Eight treatments boosted the plants height and five of them increased the collar diameter, compared with the control. The height of the seedlings was the variable that mostly influenced by the treatments. Application of Trichoderma in pre-planting substrate influenced the highest number of variables analyzed. Therefore, the isolates application used in this work is feasible for production of Enterolobium schomburgkii seedlings. Based on results of this experiment we do not recommended treatment of Enterolobium schomburgkii seeds with Trichoderma isolates, except using T. asperellum T09
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.