Comorbidities and depression in older adults with HIV

Sexual Health ◽  
2011 ◽  
Vol 8 (4) ◽  
pp. 551 ◽  
Author(s):  
Richard J. Havlik ◽  
Mark Brennan ◽  
Stephen E. Karpiak
Keyword(s):  
Older Adults ◽  
New York ◽  
Longitudinal Research ◽  
Depressive Symptomatology ◽  
Clinical Care ◽  
Depression Scale ◽  
Female Gender ◽  
Epidemiological Studies ◽  
Sensory Loss ◽  
Cross Sectional

Objective To investigate whether the high rates of depression found in older adults living with HIV are associated with the number and types of comorbidities. Methods: The Research on Older Adults with HIV (ROAH) study collected self-reported health data on ~1000 New York City HIV-positive men and women aged 50 years and older. Participants provided data on health problems experienced in the past year and depressive symptomatology (Center for Epidemiological Studies Depression Scale (CES-D)). Data were analysed using a non-parametric test of association and multiple regression analysis. Results: The correlation between CES-D scores and number of comorbidities was significant (r = 0.24). In multivariate analyses, depression remained a significant covariate of the number of comorbid conditions, in addition to female gender, inadequate income, history of drug and alcohol use, AIDS diagnosis and self-rated health. Correlations of depression with specific comorbidities varied. Significant correlations with sensory loss and dermatological problems were observed. Significant correlations existed with heart and respiratory conditions as well as fractures, but the directionality of these cross-sectional relationships is uncertain. Conclusions: The findings suggest the need for further longitudinal research to understand how high rates of depressive symptoms are related to comorbidities. Focussed clinical care that strives to prevent the collapse of the immune system must evolve into an effective treatment strategy for multimorbidities, where HIV is but one of many other chronic illnesses. If the management of depression continues to be a low priority, the older person with HIV may experience an avoidable reduction in life expectancy.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

A Cross-Sectional Analysis of Factors that Influence the Detection of Depression in Older Primary Care Patients

2005 ◽  
Vol 39 (4) ◽  
pp. 262-265 ◽  
Author(s):  
Jon J Pfaff ◽  
Jon J Pfaff ◽  
Osvaldo P Almeida
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Older Patients ◽  
Depressive Symptomatology ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Self Report ◽  
Screening Tools ◽  
Cross Sectional ◽  
Summary Sheet

Objective: To determine the characteristics of depressed older patients whose mental health status is detected by their general practitioner (GP). Method: Cross-sectional analytical design of 218 patients scoring above the cut-off (≥ 16) of the Center for Epidemiological Studies – Depression Scale (CES-D), from a sample of 916 consecutive patients aged 60 years or over attending one of 54 randomly selected GPs in Western Australia. Prior to their medical consultation, patients completed a self-report questionnaire, which included questions about depressive symptomatology (CES-D). Following the consultation, general practitioners recorded the patient's presenting complaint(s), medication information, and mental health details on a patient summary sheet. Results: Among these 218 patients, 39.9% (87/218) were correctly classified as depressed by their GP. Detection of depressive symptomatology was associated with patients who acknowledged taking sleeping tablets (OR = 2.6, 95% CI = 1.3–5.4), had CES-D scores indicative of major depression (≥ 22) (OR = 2.8, 95% CI = 1.4–5.6) and were thought to be at risk for suicide (OR = 35.1, 95% CI = 4.5–274.2). Conclusions: While GPs are most apt to detect depression among older patients with prominent mental health symptoms, many patients in this age group silently experience significant depressive symptomatology and miss the opportunity for effective treatment. The routine use of screening tools in primary care is recommended to enhance the detection rate of depression in older adults.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

scholarly journals RELATION BETWEEN MOOD DISORDERS AND COVID-19 IN OLDER ADULTS DURING THE PANDEMIC

2021 ◽  
Author(s):  
Cássia Rossetto Verga ◽  
Graciela Ishibashi ◽  
Guilherme da Silva ◽  
Tiago Ordonez ◽  
Gabriela dos Santos ◽  
...  
Keyword(s):  
Older Adults ◽  
Mood Disorders ◽  
Depressive Symptomatology ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Depression And Anxiety ◽  
Health Issues ◽  
Geriatric Depression ◽  
Cross Sectional

Background: Literature data emphasize that the recent spread of the new Coronavirus (COVID-19) pandemic has triggered several mental health issues such as depression and anxiety disorders. Fear of the illness and social distancing have shown to be risk factors for mood disorders. It is thus necessary to study the relation between mood disorders in older adults during the pandemic. Objective: Analyze the relation between mood disorders and COVID-19 in older adults within the pandemic framework. Methods: Cross-sectional study with the application of the following tools: Geriatric Depression Scale (GDS15) and Geriatric Anxiety Inventory (GAI). Results: 428 older adults with an average age of 67.54±5.65 years were evaluated. Most of them were married females with an education level of 14.72±3.54 years and only 10% of them had fallen ill to COVID-19. 71% of them reported changes in mood and anxiety levels due to the pandemic. There was also a significant statistical difference between this group and the other 29% regarding GDS15 and GAI scores (p <0.001). Meaningful correlations were found between GDS and GAI (rho = 0.52 / ρ = 0,001) in which the larger the depressive symptomatology, the higher the anxiety level was. Conclusion: Results suggest that there have been associations between depression and anxiety symptoms in older adults during the pandemic period. Such findings are important for the implementation of social and health public policies.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

scholarly journals Olfactory dysfunction predicts the development of depression in older US adults

2020 ◽  
Author(s):  
Yazan Eliyan ◽  
Kristen E Wroblewski ◽  
Martha K McClintock ◽  
Jayant M Pinto
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Social Life ◽  
Depression Scale ◽  
Subsequent Development ◽  
Epidemiological Studies ◽  
Olfactory Dysfunction ◽  
Odor Identification ◽  
Cross Sectional ◽  
Logistic Regression Models

Abstract Neuroanatomic connections link the olfactory and limbic systems potentially explaining an association between olfactory dysfunction and depression. Some previous studies have demonstrated that olfactory dysfunction is associated with increased depressive symptoms. However, these studies were cross-sectional and unable to establish which develops first. We used longitudinal data to determine if impaired odor identification increased subsequent depressive symptoms or vice versa. We assessed olfaction and depression in the National Social Life, Health, and Aging Project, a nationally-representative, 15-year longitudinal study of older U.S. adults. Olfaction was measured using a validated odor identification test (Sniffin’ Sticks). Depressive symptoms were measured using a modified version of the validated Center for Epidemiological Studies Depression Scale. Multivariable logistic regression models examined the temporal relationships between developing olfactory dysfunction and depression while accounting for demographics, disease comorbidities, alcohol use, smoking, and cognition. Older adults with olfactory dysfunction had concurrent frequent depressive symptoms (OR = 1.20, 95% CI = 1.00 - 1.43). Among healthy adults at baseline, those who had olfactory dysfunction were more likely to develop frequent depressive symptoms 5 or 10 years later (OR = 2.22, 95% CI = 1.13 - 4.37). Conversely, those with frequent depressive symptoms at baseline were not more likely to develop olfactory dysfunction 5 or 10 years later. We show for the first time that olfactory dysfunction predicts subsequent development of depression in older U.S. adults. These data support screening for depression in older adults with chemosensory impairment and set the stage for disentangling the relationship between olfaction and depression.

scholarly journals Depression, anxiety and associated factors among Chinese adolescents during the COVID-19 outbreak: a comparison of two cross-sectional studies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xu Chen ◽  
Han Qi ◽  
Rui Liu ◽  
Yuan Feng ◽  
Wen Li ◽  
...  
Keyword(s):  
Depression Scale ◽  
Female Gender ◽  
Exercise Duration ◽  
Epidemiological Studies ◽  
School Enrollment ◽  
Chinese Adolescents ◽  
Disease Spread ◽  
Depression And Anxiety ◽  
Cross Sectional ◽  
Prevalence Of Depression

AbstractThe 2019 coronavirus disease (COVID-19) is a public health emergency of international concern. In China, all schools were shut down and students were home quarantined to prevent disease spread; these steps could have potential negative effects on mental health of adolescents. This study aimed to examine changes in depression and anxiety among Chinese adolescents during the COVID-19 epidemic, and explore factors associated with depression and anxiety. Two survey administrations were conducted among Chinese adolescents between February 20 and February 27 and between April 11 and April 19, 2020, respectively. The Center for Epidemiological Studies-Depression Scale (CES-D) and the 7-item Generalized Anxiety Disorder (GAD-7) scale were used to assess depressive symptoms and anxiety symptoms, respectively. A total of 9554 and 3886 adolescents participated in the first and second surveys. During the initial survey, the prevalence of depression was 36.6% (95% CI: 35.6–37.6%) while the prevalence of anxiety was 19% (95% CI: 18.2–19.8%). Rates of depression and anxiety increased to 57.0% (95% CI: 55.4–58.6%) and 36.7% (95% CI: 35.2–38.2%), respectively, in the second survey. Multivariable logistic regression analyses revealed that group membership in the second survey, female gender, senior secondary school enrollment, and concerns about entering a higher grade were positively associated with both depression and anxiety. Conversely, a sleep duration of ≥6 h/day, an exercise duration ≥30 min/day, having the same as typical or higher study efficiency during the COVID-19 outbreak, and living in provinces with 1000–9999 confirmed COVID-19 cases were negatively associated with depression and anxiety. In conclusion, compared to figures reported during the COVID-19 outbreak, the prevalence of depression and anxiety in Chinese adolescents significantly increased after the initial outbreak. Regular screening and appropriate interventions are urgently needed to reduce the risk for emotional disturbances among adolescents during and after the initial COVID-19 outbreaks.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China Longitudinal Ageing Social Survey

2019 ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background: The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods: Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results: We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions: Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

scholarly journals Socio-demographic characteristics and co-occurrence of depressive symptoms with chronic diseases among older adults in China: the China longitudinal ageing social survey

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Zhenjie Wang ◽  
Hanmo Yang ◽  
Zhanyuan Guo ◽  
Bei Liu ◽  
Shen Geng
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Chronic Diseases ◽  
Odds Ratio ◽  
Logistic Regression Model ◽  
Depression Scale ◽  
Epidemiological Studies ◽  
Education Attainment ◽  
Cross Sectional ◽  
Social Survey

Abstract Background The aim of the current study is to assess the cross-sectional association of chronic non-communicable diseases (hypertension, diabetes mellitus, arthritis, and cerebrovascular) with depressive symptoms among older adults in China. Methods Data was obtained from the China Longitudinal Ageing Social Survey (CLASS) conducted in 2014. A total of 7505 participants were included. Depressive symptoms status was assessed by 9-item Center for Epidemiological Studies Depression Scale (CES-D) Associations between depressive symptoms and chronic diseases, adjusting for so, demographics and chronic diseases risk factors were assessed by using logistic regression model. Results We found negative associations between depressive symptoms and several socioeconomic factors, including education attainment and economic level. Widowed/divorced/ unmarried individuals are more likely to suffer from depressive symptoms. Hypertension (Odds ratio:1.29 [95%CI:1.16, 1.42]), diabetes (1.41 [95%CI:1.19,1.67]), arthritis (1.72 [1.52, 1.96]), and cerebrovascular disease (1.69 [1.41, 2.02]) were found to be associated with depressive symptoms. Conclusions Most depressive symptoms cases were found to be significantly associated with chronic diseases. Our findings have provided evidence for understanding co-morbid depressive symptoms with chronic diseases, which could help clinicians to evaluate, diagnose and manage depression promptly.

Anxious Attachment and Self-Reported Depressive Symptomatology in Women

1998 ◽  
Vol 43 (3) ◽  
pp. 294-297 ◽  
Author(s):  
Malcolm West ◽  
M Sarah Rose ◽  
Marja J Verhoef ◽  
Sheila Spreng ◽  
Mary Bobey
Keyword(s):  
Depressive Symptoms ◽  
Attachment Style ◽  
Depressive Symptomatology ◽  
Depression Scale ◽  
Self Esteem ◽  
Epidemiological Studies ◽  
Anxious Attachment ◽  
Cross Sectional ◽  
Attachment Figure ◽  
Depressed Group

Objective: Lack of intimacy has been identified as an important provoking agent that increases the risk of depressive symptoms in women. This study precisely characterized lack of intimacy by assessing a woman's attachment style and investigated the specificity of association between depressive symptoms and an anxious attachment pattern. Method: Four hundred and twenty women participated in this cross-sectional study of depressive symptomatology and anxious attachment. All participants completed the following measures: a sociodemographic questionnaire, the Centre for Epidemiological Studies Depression Scale (CES-D), the Reciprocal Attachment Questionnaire, the Social Support Questionnaire, the Rosenberg Self-Esteem Scale, and the Global Assessment of Recent Stress Scale. Results: A score of 16 or above on the CES-D, which indicates the presence of depressive symptoms, was used to divide the sample into 2 groups: a depressed group (N = 129) and a nondepressed group (N = 291). We found that women in the depressive symptomatology group were more likely than women in the nondepressive symptomatology group to exhibit anxious attachment and adverse social and cognitive characteristics. Lower levels of self-esteem and higher levels of recent stress were also predictive of depressive symptomatology. Feared loss of the attachment figure and a lack of use of the attachment figure were independent predictors of depressive symptomatology in the same model. Conclusion: The feared loss of security associated with an attachment figure seems to be related to an increased likelihood of depressive symptoms.

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