Sintomas depressivos em idosos: análise dos itens da Escala de Depressão Geriátrica

Using machine learning to forecast symptom changes among subclinical depression patients receiving stepped care or usual care

BACKGROUND

Subclinical depression (SD) is a mental health disorder characterized by minor depressive symptoms. Most SD patients are treated in the primary practice, but many respond poorly to treatment at the expense of provider resources. Stepped care approaches are appealing for tiering SD care to efficiently allocate scarce resources while jointly optimizing patient outcomes. However, stepped care can be time inefficient, as some persons may respond poorly and be forced to suffer with their symptoms for prolonged periods. Machine learning can offer insight into optimal treatment paths and inform clinical recommendations for incident patients.

METHODS

As part of the Step-Dep trial, participants with SD were randomized to receive stepped care (N=96) or usual care (N=140). Machine learning was used to predict changes in depressive symptoms every three months over a year for each treatment group.

RESULTS

Tree-based models were effective in predicting PHQ-9 changes among patients who received stepped care (r=0.35-0.46, MAE=0.14-0.17) and usual care (r=0.34-0.49, MAE=0.15-0.18). Patients who received stepped care were more likely to reduce PHQ-9 scores if they had high PHQ-9 but low HADS-A scores at baseline, a low number of chronic illnesses, and an internal locus of control.

LIMITATIONS

Models may suffer from potential overfitting due to sample size limitations.

CONCLUSION

Our findings demonstrate the promise of machine learning for predicting changes in depressive symptoms for SD patients receiving different treatments. Trained models can intake incident patient information and predict outcomes to inform personalized care.

Depressive symptoms among older adults with diabetes mellitus: a cross-sectional study

BACKGROUND

Diabetes mellitus is a chronic disease with long-term consequences that is often associated with depressive symptoms. This relationship predicts increased morbidity and mortality rates, leading to serious health consequences.

OBJECTIVE

To identify the prevalence and health factors associated with depressive symptoms among older adults with diabetes mellitus.

DESIGN AND SETTING

An observational cross-sectional study was conducted among 236 older adults in the Basic Healthcare Units of Jequié, Brazil.

METHODS

A survey containing sociodemographic, behavioral, and health conditions was used as a data collection instrument, in addition to the Geriatric Depression Scale. The main inclusion criterion was older adults diagnosed with diabetes mellitus. To identify the risk factors associated with depressive symptoms among older adults with diabetes mellitus, logistic regression analysis was conducted for calculating the odds ratio (OR), and a 95% confidence interval (CI) was considered statistically significant.

RESULTS

The prevalence of depressive symptoms was 24.2% among older adults with diabetes, corroborating the Brazilian average of 30%. The final multivariate analysis model for the risk of depressive symptoms showed a significant association with diabetes complications [OR = 2.50, 95% CI 1.318-4.74)] and osteoporosis [OR = 2.75, 95% CI 1.285-5.891)].

CONCLUSION

A high prevalence of depressive symptoms was observed among older adults with diabetes. Critically examining older adults with diabetes mellitus is necessary, and screening for depressive symptoms is highly recommended, especially for those with complications resulting from diabetes mellitus and musculoskeletal comorbidities, such as osteoporosis, as it seems to be associated with depressive symptoms.

Validity Evidences of the Prefrontal Symptoms Inventory for the Elderly Brazilian Population

OBJECTIVES

This study aimed to translate the Prefrontal Symptoms Inventory (PSI) (abbreviated version) for the elderly into Brazilian Portuguese, evaluate its psychometric properties, and investigate if the PSI could distinguish between groups with (clinical group) and without (non-clinical group) a diagnosis of probable Alzheimer's disease (AD).

METHODS

The PSI was idiomatically and culturally adapted, and then administered to 256 individuals over 60 years of age who also completed a clinical interview, the Mini-Mental State Examination (MMSE), the Geriatric Depression Scale (GDS)-15, and the Frontal Assessment Battery (FAB).

RESULTS

The results indicated satisfactory adjustment and adequate reliability (Ω of 0.83 and α=0.80) for the uni-factorial model. The non-clinical group showed significant correlations between the PSI-16, GDS-15, MMSE, and FAB and its six subtests. In the clinical group, there were negative correlations between the PSI-16, MMSE, and the FAB and the conceptual subtest. The groups differed statistically significantly, with the clinical sample showing the highest PSI-16 score. In the non-clinical group, there were significant positive correlations between age and PSI-16, and negative correlations between education and PSI-16.

CONCLUSION

The results of this study indicate that the PSI-16 can be used as a valid and reliable screening tool for clinical use in the elderly with and without pathology.

Investigation of the emotional and psychological factors of elderly persons frequenting ballroom dancing clubs

Abstract Objective: the present study investigated the psychological and emotional factors of elderly persons who practiced ballroom dancing. Method: the sample consisted of 93 elderly people who attended ballroom dancing clubs in the city of Maringá, in Paraná, Brazil. The Perceived Stress Scale, Self-Esteem Scale, Geriatric Anxiety Inventory, Life Satisfaction Scale and the SF-12 questionnaire were used. The data were analyzed using the Kolmogorov-Smirnov (data normality), Mann-Whitney U and Kruskal-Wallis tests (comparison of psychological variables according to sociodemographic and health variables), Spearman Correlation and Multivariate Linear Regression (relationship between variables). Results: there was a predominance of a good perception of health (69.9%); adequate values of life satisfaction (Md=27.00, Q1=25.00, Q3=30.00) and self-esteem (Md=31.00, Q1=30.00, Q3=32.00); as well as physical (Md=59.40, Q1=50.00, Q3=62.50); and mental health perception (Md=71.90, Q1=62.50, Q3=78.12). Low levels of anxiety (Md=6.00, Q1=3.00, Q3=12.00) and depression (Md=3.00, Q1=2.00, Q3=4.00), and a perception of moderate levels of stress (Md=20.00, Q1=13.50, Q3=24.50) were also found. Elderly people with a good perception of health were more satisfied with life and had higher self-esteem and lower levels of anxiety, stress and depression than those with poor/regular perception; anxiety (β= -0.32) and depression (β= -0.15) had a negative impact on life satisfaction, predicting its variability by 21%. Conclusion: the elderly had a healthy profile, and anxiety and depression were the main psychological and emotional factors that negatively influenced the satisfaction with life of these elderly people.

Prevalence of depressive symptoms among elderly women from a Center of Reference and Care for the Elderly in the city of Passo Fundo, Rio Grande do Sul

Abstract Objective: To analyze depressive symptoms and factors associated with this pathology among elderly women. Method: A cross-sectional study nested in the longitudinal study of the Care and Reference Center for the Elderly of the Universidade de Passo Fundo (Passo Fundo University) in Rio Grande do Sul, Brazil, was carried out. Standardized questionnaires, pre-coded with sociodemographic information, were applied. The Geriatric Depression Scale was used to assess the outcome of depression. The International Physical Activity Questionnaire was used to evaluate the level of physical activity and parameters of Body Mass Index were used to assess nutritional status. The chi-squared test or the Fisher exact Test were applied to verify the association between outcome and exposure. Results: 313 elderly women were assessed. They were aged from 60 to 89 years, and most (284 - 91.3%) belonged to economic classes B and C. Depression was present in 22 (7.1%) of the elderly women. In bivariate analysis, depression was associated with non-white elderly women (14.6%; p=0.039) who were classified as insufficiently active (10.6%; p=0.033). Conclusion: The results indicate the need to encourage the elderly to perform physical activities to contribute to the prevention of geriatric depression.

Prevalência de sintomas depressivos e fatores associados em idosos no norte de Minas Gerais: um estudo de base populacional

Objetivo Avaliar a prevalência e os fatores associados aos sintomas depressivos em idosos não institucionalizados. Métodos Estudo transversal, analítico, de base populacional, cujos dados foram coletados entre maio e julho de 2013, em visitas domiciliares. Foi aplicado um questionário com variáveis sociodemográficas, comorbidades, utilização de serviços de saúde, escala de fragilidade (Edmonton Frail Scale), teste Timed Get Up and Go e a Escala de Depressão Geriátrica (Geriatric Depression Scale – GDS-15). Para análise estatística, as variáveis foram dicotomizadas. Conduziram-se análises bivariadas (teste qui-quadrado de Pearson) adotando-se nível de significância menor que 0,20 para inclusão das variáveis independentes no modelo múltiplo. O modelo final foi gerado por meio de análise de regressão logística múltipla e as variáveis mantidas apresentaram associação com sintomas depressivos em um nível de significância de 0,05 (p < 0,05). Resultados A prevalência de sintomas depressivos foi de 27,5%. As variáveis independentes associadas a sintomas depressivos foram: não ter companheiro (a) (OR = 1,81; IC 95% 1,214-2,713), não saber ler (OR = 1,84; IC 95% 1,19-2,836), percepção negativa sobre a própria saúde (OR = 2,12; IC 95% 1,373-3,256), tabagismo (OR = 2,31; IC 95% 1,208-4,431), alto risco de quedas (OR = 1,78; IC 95% 1,000-3,184) e fragilidade (OR = 2,38; IC 95% 1,510-3,754). Conclusões A alta prevalência de sintomas depressivos identificada entre idosos comunitários alerta para a necessidade de maiores cuidados com a população idosa.

[Family functioning of elderly with depressive symptoms]

OBJECTIVE

To classify families of elderly with depressive symptoms regarding their functioning and to ascertain the presence of an association between these symptoms, family functioning and the characteristics of the elderly.

METHOD

This was an observational, analytical, cross-sectional study performed with 33 teams of the Family Health Strategy in Dourados, MS. The sample consisted of 374 elderly divided into two groups (with and without depressive symptoms). The instruments for data collection were a sociodemographic instrument, the GeriatricDepression Scale (15 items) and the Family Apgar.

RESULTS

An association was observed between depressive symptoms and family dysfunction, female gender, four or more people living together, and physical inactivity.

CONCLUSION

The functional family may represent effective support for the elderly with depressive symptoms, because it offers a comfortable environment that ensures the well-being of its members. The dysfunctional family can barely provide necessary care for the elderly, which can exacerbate depressive symptoms.