scholarly journals Geriatric Conditions and Functional Disability among a National Community-Dwelling Sample of Older Adults in India in 2017–2018

Geriatrics ◽  
2021 ◽  
Vol 6 (3) ◽  
pp. 71
Author(s):  
Supa Pengpid ◽  
Karl Peltzer
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Chronic Conditions ◽  
Sociodemographic Factors ◽  
Community Dwelling ◽  
Impaired Hearing ◽  
Major Depressive ◽  
Impaired Vision ◽  
Geriatric Conditions ◽  
Impaired Cognition

This study aimed to determine the prevalence of geriatric conditions and their association with disability in older community-dwelling adults in India. The cross-sectional sample consisted of 31,477 individuals (≥60 years) from the Longitudinal Ageing Study in India (LASI) Wave 1 in 2017–2018. Geriatric conditions assessed included injurious falls, impaired cognition, underweight, dizziness, incontinence, impaired vision and impaired hearing. More than two in five participants (44.3%) had no geriatric condition, 32.7% had one, 15.9% two and 7.1% had three or more geriatric conditions; 26.9% were underweight, 14.5% dizziness, 13.7% had impaired vision, 9.6% impaired hearing, 9.3% impaired cognition, 8.2% major depressive disorder, 5.7% injurious falls, 4.0% incontinence, and 7.4% had Activity of Daily Living (ADL) dependencies. In logistic regression analysis, adjusted by sociodemographic factors and the number of chronic conditions, we found a higher number of geriatric conditions, and a higher number of chronic conditions were associated with ADL dependencies. In a model adjusted for sociodemographic factors and the type of chronic conditions, we found that a higher number of geriatric conditions and heart disease, stroke, and bone or joint disorder were positively associated with ADL dependencies. The odds of ADL dependencies increased with impaired cognition, impaired vision, impaired hearing, and major depressive disorder. Impaired cognition, incontinence, impaired vision and major depressive disorder were positively associated with dressing, bathing, eating, transferring, and toileting dependency. In addition, impaired hearing was associated with transferring and toileting dependency. More than half of older adults in India had at least one geriatric condition. The prevalence of geriatric conditions was as high as the prevalence of chronic conditions, which in some cases were associated with disability. Geriatric conditions should be included in health care management.

scholarly journals Predictors of Major Depressive Disorder in Older People

2021 ◽  
Vol 18 (22) ◽  
pp. 11894
Author(s):  
Susana Sousa ◽  
Constança Paúl ◽  
Laetitia Teixeira
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Older People ◽  
Social Factors ◽  
Common Mental Disorders ◽  
Community Dwelling ◽  
Major Depressive ◽  
Factors Associated ◽  
Status Mobility ◽  
Community Dwelling Older People

Major depressive disorder (MDD) is one of the most common mental disorders in older people. There are several biological, psychological, and social factors associated with this disorder. This study aimed to describe the depressive state to identify the associated factors and potential predictors of MDD in a population of community-dwelling older people with probable MDD. The sample consisted of 378 participants with probable dementia, with 47.3% of them presenting MDD. The factors that were found to be associated with MDD were sex, living status, mobility, and nutritional status. Knowing the factors that can predict a condition such as MDD is extremely important, both for prevention and for the customization of interventions.

Physical exercise and body mass index as correlates of major depressive disorder in community-dwelling adults: Results from the PISMA-ep study

2019 ◽  
Vol 251 ◽  
pp. 263-269 ◽  
Author(s):  
Alejandro Porras-Segovia ◽  
Margarita Rivera ◽  
Esther Molina ◽  
David López-Chaves ◽  
Blanca Gutiérrez ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Major Depressive Disorder ◽  
Physical Exercise ◽  
Depressive Disorder ◽  
Body Mass ◽  
Community Dwelling ◽  
Major Depressive

MMN-Indexed Auditory Change Detection in Major Depressive Disorder

2020 ◽  
Vol 51 (6) ◽  
pp. 365-372 ◽  
Author(s):  
Jenna N. Bissonnette ◽  
Ashley M. Francis ◽  
Krista M. Hull ◽  
Jennifer Leckey ◽  
Laura Pimer ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Auditory Cortex ◽  
Change Detection ◽  
Community Dwelling ◽  
Major Depressive ◽  
Severity Scores ◽  
Wide Range ◽  
Related Potentials ◽  
Auditory Change Detection

In major depressive disorder (MDD), event-related potentials that are involved in auditory cortex function (i.e. N100 and P300) often have greater latencies and decreased amplitudes. The auditory mismatch negativity (MMN) is thought to be produced by generators in the auditory cortex, as well as the frontal lobes. Reports on differences in MMN in those with MDD have been varied. It was hypothesized that the wide range of results in the literature may be due to the use of different deviant types in eliciting the MMN. To attempt and explain these inconsistencies, the current study employed a multifeature MMN paradigm with 5 deviant tone types in community-dwelling participants with a diagnosis of MDD. We found those with MDD had higher MMN amplitudes following tones that deviated in intensity and location, but no difference in MMNs elicted by the other deivants (relative to unaffected controls). Location MMN deviants were negatively correlated with depression severity scores (i.e. larger MMN with greater severity). We also found longer MMN latencies following the pitch deviant. These results suggest the early auditory change detection process is altered in MDD, but only following certain types of auditory stimuli. Potential explanations for these findings, including high levels of anxiety and the influence of tryptophan are explored. Equally, the current report highlights the importance of using various deviant types when examining the MMN in clinical populations.

scholarly journals Antidepressant Use Partially Mediates the Association Between Depression and Risk of Falls and Fall Injuries Among Older Adults

2020 ◽  
Author(s):  
Matthew C Lohman ◽  
Amanda J Fairchild ◽  
Anwar T Merchant
Keyword(s):  
Older Adults ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Fall Risk ◽  
Medication Use ◽  
Community Dwelling ◽  
Major Depressive ◽  
Fall Injuries ◽  
Risk Of Falls ◽  
Antidepressant Use

Abstract Background The association between depression and fall risk in older adults is recognized, yet the mechanisms underlying this association are unclear. This study estimated the mediating role of antidepressant use in the association between depression and falls and fall injuries. Methods Longitudinal data from the Health and Retirement Study (2004–2006) were linked with medication data from the Prescription Drug Study (2005). The sample included community-dwelling adults aged ≥65 with data on depression and medication use (n = 3565). Depression was measured using 2 independent survey tools: Composite International Diagnostic Interview for depression short form and an 8-item version of the Center for Epidemiological Studies-Depression scale. We used causal mediation analysis to estimate and compare the direct and indirect (mediated by antidepressant use) effects of depression on falls and fall injuries. Results Individuals with major depressive disorder were significantly more likely to experience a fall (OR: 1.92; 95% CI: 1.41, 2.62) and a fall injury (OR: 1.67; 95% CI: 1.09, 2.55) over 2 years. Indirect effect estimates showed that antidepressant medication use accounted for approximately 19% and 18% of the association between major depressive disorder and falls and fall injuries, respectively. Results were similar when using an alternative depression measure and when considering only selective serotonin reuptake inhibitor antidepressants. Conclusions Antidepressant use explains a significant proportion, but not a majority, of the association between depression and greater fall risk. Treatment benefits of antidepressants should be considered with, and may outweigh, concerns about increased risk of falls associated with antidepressant use.

scholarly journals Sociodemographic factors associated with treatment-seeking and treatment receipt: cross-sectional analysis of UK Biobank participants with lifetime generalised anxiety or major depressive disorder

BJPsych Open ◽  
2021 ◽  
Vol 7 (6) ◽  
Author(s):  
Christopher Rayner ◽  
Jonathan R. I. Coleman ◽  
Kirstin L. Purves ◽  
Ewan Carr ◽  
Rosa Cheesman ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Household Income ◽  
Sociodemographic Factors ◽  
Treatment Seeking ◽  
Uk Biobank ◽  
Treatment Access ◽  
Major Depressive ◽  
Self Help ◽  
Retrospective Reports

Background Anxiety and depressive disorders can be chronic and disabling. Although there are effective treatments, only a fraction of those impaired receive treatment. Predictors of treatment-seeking and treatment receipt could be informative for initiatives aiming to tackle the burden of untreated anxiety and depression. Aims To investigate sociodemographic characteristics associated with treatment-seeking and treatment receipt. Method Two binary retrospective reports of lifetime treatment-seeking (n = 44 810) and treatment receipt (n = 37 346) were regressed on sociodemographic factors (age, gender, UK ethnic minority background, educational attainment, household income, neighbourhood deprivation and social isolation) and alternative coping strategies (self-medication with alcohol/drugs and self-help) in UK Biobank participants with lifetime generalised anxiety or major depressive disorder. Analyses were also stratified by gender. Results Treatment access was more likely in those who reported use of self-help strategies, with university-level education and those from less economically advantaged circumstances (household income <£30 000 and greater neighbourhood deprivation). Treatment access was less likely in those who were male, from a UK ethnic minority background and with high household incomes (>£100 000). Men who self-medicated and/or had a vocational qualification were also less likely to seek treatment. Conclusions This work on retrospective reports of treatment-seeking and treatment receipt at any time of life replicates known associations with treatment-seeking and treatment receipt during time of treatment need. More work is required to understand whether improving rates of treatment-seeking improves prognostic outcomes for individuals with anxiety or depression.

scholarly journals Disparities in COVID-19 infection, hospitalisation and death in people with schizophrenia, bipolar disorder, and major depressive disorder: a cohort study of the UK Biobank

2021 ◽  
Author(s):  
Lamiece Hassan ◽  
Niels Peek ◽  
Karina Lovell ◽  
Andre F. Carvalho ◽  
Marco Solmi ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Cohort Study ◽  
Depressive Disorder ◽  
Sociodemographic Factors ◽  
Vulnerable Groups ◽  
Multivariable Logistic Regression Analysis ◽  
Uk Biobank ◽  
Major Depressive ◽  
The Uk

AbstractPeople with severe mental illness (SMI; including schizophrenia/psychosis, bipolar disorder (BD), major depressive disorder (MDD)) experience large disparities in physical health. Emerging evidence suggests this group experiences higher risks of infection and death from COVID-19, although the full extent of these disparities are not yet established. We investigated COVID-19 related infection, hospitalisation and mortality among people with SMI in the UK Biobank (UKB) cohort study. Overall, 447,296 participants from UKB (schizophrenia/psychosis = 1925, BD = 1483 and MDD = 41,448, non-SMI = 402,440) were linked with healthcare and death records. Multivariable logistic regression analysis was used to examine differences in COVID-19 outcomes by diagnosis, controlling for sociodemographic factors and comorbidities. In unadjusted analyses, higher odds of COVID-19 mortality were seen among people with schizophrenia/psychosis (odds ratio [OR] 4.84, 95% confidence interval [CI] 3.00–7.34), BD (OR 3.76, 95% CI 2.00–6.35), and MDD (OR 1.99, 95% CI 1.69–2.33) compared to people with no SMI. Higher odds of infection and hospitalisation were also seen across all SMI groups, particularly among people with schizophrenia/psychosis (OR 1.61, 95% CI 1.32–1.96; OR 3.47, 95% CI 2.47–4.72) and BD (OR 1.48, 95% CI 1.16–1.85; OR 3.31, 95% CI 2.22–4.73). In fully adjusted models, mortality and hospitalisation odds remained significantly higher among all SMI groups, though infection odds remained significantly higher only for MDD. People with schizophrenia/psychosis, BD and MDD have higher risks of COVID-19 infection, hospitalisation and mortality. Only a proportion of these disparities were accounted for by pre-existing demographic characteristics or comorbidities. Vaccination and preventive measures should be prioritised in these particularly vulnerable groups.

scholarly journals Inflammaging in Major Depressive Disorder: Associations between markers of inflammation and brain ageing in depression across two large community-based cohorts

2021 ◽  
Author(s):  
Claire Green ◽  
Marco Squillace ◽  
Anna J. Stevenson ◽  
Aleks Stolicyn ◽  
Mathew A. Harris ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
White Matter ◽  
Depressive Disorder ◽  
Chronic Inflammation ◽  
Interaction Effects ◽  
Community Dwelling ◽  
Community Based ◽  
Major Depressive ◽  
Brain Ageing

Background: Major Depressive Disorder (MDD) is associated with accelerated ageing trajectories including functional markers of ageing, cellular ageing and markers of poor brain health. The biological mechanisms underlying these associations remain poorly understood. Chronic inflammation is also associated with advanced ageing; however, the degree to which long-term inflammation plays a role in ageing in MDD remains unclear, partly due to difficulties differentiating long-term inflammation from acute cross-sectional measures. Methods: Here, we use a longer-term measure of inflammation: a DNA methylation-based marker of C-reactive protein (DNAm CRP), in a large cohort of individuals deeply phenotyped for MDD (Generation Scotland, GS, N=804). We investigate associations between DNAm CRP and serum CRP using linear modelling with two brain ageing neuroimaging-derived phenotypes: (i) a machine learning based measure of brain-predicted age difference (brain-PAD) and (ii) white matter hyperintensities (WMH). We then examine inflammation by depression interaction effects for these brain ageing phenotypes. We sought to replicate findings in an independent sample of older community-dwelling adults (Lothian Birth Cohort 1936, LBC1936; N=615). Results: DNAm CRP was significantly associated with increased brain-PAD (β=0.111, p=0.015), which was replicated in the independent sample with a similar significant effect size (β=0.114, p=0.012). There were no associations between the inflammation markers and WMH phenotypes in the GS-imaging sample, however in the LBC1936 sample, DNAm CRP was significantly associated with both Wahlund infratentorial (β=0.15, PFDR= 0.006) and Fazekas deep white matter hyperintensity scores (β= 0.116, PFDR=0.033). There were no interaction effects between inflammation and MDD in either cohort. Conclusions: This study found robust associations between a longer-term marker of inflammation and brain ageing as measured by brain-PAD, consistent across two large independent samples. However, we found no evidence for interaction effects between inflammation and MDD on any brain ageing phenotype in these community-based cohorts. These findings provide evidence that chronic inflammation is associated with increased brain ageing, which is not specific to MDD. Future work should investigate these relationships in clinical samples including with other inflammatory biomarkers and should furthermore aim to determine causal directionality.

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