Combining Psychotherapy and Medications for Late-Life Psychiatric Disorders

2020 ◽  
pp. 150-157
Author(s):  
Meera Balasubramaniam ◽  
Deepti Anbarasan ◽  
Paul Campion
2013 ◽  
Vol 15 (4) ◽  
Author(s):  
Anda Gershon ◽  
Keith Sudheimer ◽  
Rabindra Tirouvanziam ◽  
Leanne M. Williams ◽  
Ruth O’Hara

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shobhit Srivastava ◽  
KM Sulaiman ◽  
Drishti Drishti ◽  
T. Muhammad

AbstractSince untreated or undertreated late-life mental disorders is associated with grave consequences including poor quality of life and increased mortality rates, this study investigates the associated factors of psychiatric disorders and its treatment seeking among older adults in India. Data for this study were derived from the Longitudinal Ageing Study in India (LASI) conducted during 2017–2018. The effective sample size was 31,464 older adults aged 60 years and above. Descriptive statistics and bivariate analysis were used to present the preliminary results. Chi-square test was used to find the significance level for bivariate association. Additionally, the Heckprobit selection model was employed to fulfil the objectives. It was revealed that about 2.8% of older adults had psychiatric disorder and of those who were suffering from psychiatric disorder, 41.3% (out of 2.8%) sought medical treatment. It was found that older adults who ever worked but currently not working, who had low level of life satisfaction, had poor self-rated health, had difficulty in activities of daily living (ADL) and instrumental ADL and had symptoms of psychological distress had higher probability of suffering from psychiatric disorder in reference to their counterparts. Older adults from oldest-old age group, who were females, from poorest wealth quintile, from Scheduled Tribe and from eastern region had lower probability of seeking treatment for psychiatric disorder in reference to their counterparts. The findings of the present study urge that greater attention be devoted at detecting and preventing late-life psychiatric disorder particularly among those who are at greater risk vis., male gender, working status as “ever worked but currently not working”, having low life satisfaction, poor SRH, ADL and IADL difficulties, higher psychological distress, belonging to higher wealth quintile and rural place of residence.


2014 ◽  
Vol 3 (1) ◽  
pp. 43-44
Author(s):  
G Dhonju ◽  
PM Singh ◽  
N Joshi

Late onset psychiatric disorders generate interest due to frequent association with some organic, neurological or metabolic etiology. Primary psychiatric illness with an onset in late life is rare. Late onset mania has not been frequently encountered and hence we are reporting a case of a 78 year old male diagnosed with first episode mania with psychotic symptoms.DOI: http://dx.doi.org/10.3126/jpan.v3i1.11352 J Psychiatrists’ Association of Nepal Vol .3, No.1, 2014: 43-44


2014 ◽  
Vol 11 (7) ◽  
pp. 681-693 ◽  
Author(s):  
Renate Zilkens ◽  
David Bruce ◽  
Janine Duke ◽  
Katrina Spilsbury ◽  
James Semmens

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1366
Author(s):  
Kevin Manning ◽  
Lihong Wang ◽  
David Steffens

Advances in neuroimaging have identified neural systems that contribute to clinical symptoms that occur across various psychiatric disorders. This transdiagnostic approach to understanding psychiatric illnesses may serve as a precise guide to identifying disease mechanisms and informing successful treatments. While this work is ongoing across multiple psychiatric disorders, in this article we emphasize recent findings pertaining to major depression in the elderly, or late-life depression (LLD), a common and debilitating neuropsychiatric illness. We discuss how neural functioning of three networks is linked to symptom presentation, illness course, and cognitive decline in LLD. These networks are (1) an executive control network responsible for complex cognitive processing, (2) a default mode network normally deactivated during cognitive demanding when individuals are at rest, and a (3) salience network relevant to attending to internal and external emotional and physiological sensations. We discuss how dysfunction in multiple networks contributes to common behavioral syndromes, and we present an overview of the cognitive control, default mode, and salience networks observed in LLD.


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