Psychological assessment of the elderly

Lengenfelder, Jeannie; Dahlman, Karen; Ashman, Teresa; Mohs, Richard C.

doi:10.1016/b978-0-12-802203-0.00016-x

Cited by 5 publications

(3 citation statements)

References 126 publications

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“…Chronic diseases, loss of income, elderly disrespect, limited mobility, bereavement, and isolation are leading risk factors for depression among the elderly population, in addition to common risk factors in all age groups. 6 Most of the time, the presentation of the depression in old age is masked by memory status with psychological symptoms; still, these problems are secondary to depression concern. It has destructive consequences and contributes significantly to negative thoughts in this period of life.…”

Section: Introductionmentioning

confidence: 99%

Depression and its associated factors among the older adults in rural, Tamilnadu, India

Bincy

Logaraj

Ramraj

2021

Clinical Epidemiology and Global Health

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Background: Depression is a significant public health concern, especially among older adults due to its distressing morbidity and mortality rate. This study aimed to assess the prevalence of depression and the associated risk factors among older adults (age ≥ 60 years) in Tamilnadu, India. Materials and methods: A community-based cross-sectional study was carried out from July 2016 to May 2018 among the older adults in the rural area of three districts of Tamil Nadu, India. Geriatric Depression Scale item 15 (GDS-15) was used to assess depression with face to face interviews from 7200 participants. Descriptive statistics and multivariable logistic regression analysis were employed. Adjusted odds ratio (OR) with a 95% confidence interval was used to calculate the significance. Results: Prevalence of depression among older adults were found to be 67.5% (95% CI-0.66-0.68). The multivariable logistic regression model revealed that older adults above 80 years (OR = 1.91; CI = 0.885-1.344), female sex (OR = 0.88; 95% CI = 0.803-0.982), widow (OR = 0.88; 95% CI = 0.77-1.00), living with children (OR = 0.86, 95% CI = 0.77-0.97), lack of family support (OR = 1.48; CI = 1.321-1.638), and physically dependent (OR = 1.01; CI = 0.88-1.15) were associated with depression among older adults. Additional to this, people with diabetes (OR = 1.15; CI = 1.007-1.33), and with the history of fall (OR = 1.28; CI = 1.017-1.620) also associated with the depression. Conclusion: Prevalence of depression among the elderly population is reported to be high in this study. Screening the elderly for depression at the primary care level helps in early detection of depression. This suggests the need for community-based interventions for effective management of older adults with chronic diseases.

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Section: Introductionmentioning

confidence: 99%

Depression and its associated factors among the older adults in rural, Tamilnadu, India

Bincy

Logaraj

Ramraj

2021

Clinical Epidemiology and Global Health

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“…7 Chronic disease, loss of income, elderly disrespect, limited mobility, bereavement and isolation are the leading risk factors for depression among elderly people. 8 It decreases quality of life, limits prognosis of chronic disease and eventually worsen disability. Therefore, elderly people with depression have significantly higher mortality from suicidal and nonsuicidal incidents.…”

Section: Introductionmentioning

confidence: 99%

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Banerjee

Goswami

Mandal

et al. 2023

Int J Community Med Public Health

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Background: Elderly depression is major public health concern. It causes significant morbidity and mortality burden worldwide. The study aimed to estimate prevalence of elderly depression in a rural area of Purba Bardhaman district, West Bengal and to ascertain their level of perceived social support. Methods: A community-based, cross-sectional study was conducted in Bhatar community development block of Purba Bardhaman district, West Bengal, during period of August 2022 to January 2023. A calculated sample of 238 elderly people were selected by simple random sampling and interviewed with a predesigned, pretested schedule containing geriatric depression scale (GDS-15) for assessing depression, Katz index for independence in activities of daily living (ADL) and multidimensional scale for perceived social support (MSPSS) to assess level of perceived social support. Multivariable logistic regression was done to find out predictors of elderly depression. Results: Out of 238 study participants, 160 (67.2%) were suffering from depression. Prevalence of mild, moderate and severe depression was 49.2%, 14.6% and 3.4% respectively. Low, medium and high level of perceived social support was found in 36.6%, 44.1% and 19.3% study participants, respectively. Impairment in ADL [AOR: 5.045 (2.145-11.868)], presence of financial dependence [AOR: 2.977 (1.330-6.665)], pre-existing one or more co-morbidities [AOR: 2.044 (1.114-3.749)] and educational status below secondary level [AOR: 0.379 (0.199-0.720) were found to be significant predictors of elderly-depression. Conclusions: Prevalence of depression is high among elderly, along with low perceived social support. Health promotion, awareness generation about social security schemes and family support are crucial to prevent elderly depression.

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“… 12 Further, declarative memory problems can negatively affect personal, professional, and social functioning. 13 , 14 …”

Section: Introductionmentioning

confidence: 99%

Prediction of declarative memory profile in panic disorder patients: a machine learning-based approach

Dalvi-Garcia,

Quagliato,

Bearden

et al. 2023

Brazilian Journal of Psychiatry

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Objective: To develop a classification framework based on random forest (RF) modeling to outline the declarative memory profile of patients with panic disorder (PD) compared to a healthy control sample. Methods: We developed RF models to classify the declarative memory profile of PD patients in comparison to a healthy control sample using the Rey Auditory Verbal Learning Test (RAVLT). For this study, a total of 299 patients with PD living in the city of Rio de Janeiro (70.9% females, age 39.9 ± 7.3 years old) were recruited through clinician referrals or self/family referrals. Results: Our RF models successfully predicted declarative memory profiles in patients with PD based on RAVLT scores (lowest area under the curve [AUC] of 0.979, for classification; highest root mean squared percentage [RMSPE] of 17.2%, for regression) using relatively bias-free clinical data, such as sex, age, and body mass index (BMI). Conclusions: Our findings also suggested that BMI, used as a proxy for diet and exercises habits, plays an important role in declarative memory. Our framework can be extended and used as a prospective tool to classify and examine associations between clinical features and declarative memory in PD patients.

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Psychological assessment of the elderly

Cited by 5 publications

References 126 publications

Depression and its associated factors among the older adults in rural, Tamilnadu, India

Depression and its associated factors among the older adults in rural, Tamilnadu, India

Depression among elderly and their perceived social support in a community development block of Purba Bardhaman district, West Bengal: a cross sectional study

Prediction of declarative memory profile in panic disorder patients: a machine learning-based approach

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