Depression symptomology groups among middle and older adult emergency department patients

Holub, Ashley; Lee, Joseph; DeRienzo, Vincent; Nobay, Flavia; Abar, Beau

doi:10.1016/j.jad.2018.11.069

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…All items were dichotomized (i.e., absence of a symptom = 0, presence of a symptom = 1) due to a large number of items and a relatively small sample size. Specifically, following Holub et al ( 40 ), the PHQ response option “not at all” was recoded into “absence of a symptom”, and options “several days,” “more than half the days,” and “nearly every day” were recoded into “presence of a symptom”. The state anxiety (STAI-Y1) response options “not at all” and “somewhat” were recoded into “absence of a symptom” while “moderately so” and “very much so” were recoded into “presence of a symptom”.…”

Section: Methodsmentioning

confidence: 99%

Symptom Patterns of the Occurrence of Depression and Anxiety in a Japanese General Adult Population Sample: A Latent Class Analysis

et al. 2022

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BackgroundGiven the high comorbidity and shared risk factors between depression and anxiety, whether they represent theoretically distinct disease entities or are just characteristics of a common negative affect dimension remains debated. Employing a data-driven and person-centered approach, the present study aims to identify meaningful and discrete symptom patterns of the occurrence of depression and anxiety.MethodsUsing data from an adult sample from the Japanese general population (n = 403, including 184 females, age = 42.28 ± 11.87 years), we applied latent class analysis to identify distinct symptom patterns of depression (PHQ-9) and anxiety (STAI Y1). To empirically validate the derived class memberships, we tested the association between the derived classes and personal profiles including childhood experiences, life events, and personality traits.ResultsThe best-fitting solution had four distinct symptom patterns or classes. Whereas both Class 1 and 2 had high depression, Class 1 showed high anxiety due to high anxiety-present symptoms (e.g., “I feel nervous”) while Class 2 showed moderate anxiety due to few anxiety-absent symptoms (e.g., “I feel calm”). Class 3 manifested mild anxiety symptoms due to lacking responses on anxiety-absent items. Class 4 manifested the least depressive and anxiety-present symptoms as well as the most anxiety-absent symptoms. Importantly, whereas both Class 1 and 2 had higher childhood neglect and reduced reward responsiveness, etc. compared to Class 4 (i.e., the most healthy class), only Class 1 had greater negative affect and reported more negative life events.ConclusionsTo our knowledge, this is the first latent class analysis that examined the symptom patterns of depression and anxiety in Asian subjects. The classes we identified have distinct features that confirm their unique patterns of symptom endorsement. Our findings may provide insights into the etiology of depression, anxiety, and their comorbidity.

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Section: Methodsmentioning

confidence: 99%

Symptom Patterns of the Occurrence of Depression and Anxiety in a Japanese General Adult Population Sample: A Latent Class Analysis

et al. 2022

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“…This may relate to cognitive bias of healthcare workers and fixation on physical symptoms, time-pressured environments, or lack of specific education about these conditions [ 9 ]. In addition, a high proportion of older people presenting to hospital with depression and loneliness have been found, to present predominantly with non-specific somatic symptoms of emotional distress such as chest pain, fatigue, back pain and dizziness [ 11 , 30 , 31 ]. These factors may complicate the initial assessment and obscure the underlying mental health diagnosis [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

Symptoms of depression and risk of emergency department visits among people aged 70 years and over

Dwyer,

Jachno,

Tran

et al. 2024

BMC Public Health

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Background Older people experiencing depression and anxiety have higher rates of health service utilisation than others, but little is known about whether these influence their seeking of emergency care. The aim was to examine the associations between symptoms of depression and the use of emergency health care, in an Australian context, among a population of people aged 70 years and over initially free of cardiovascular disease, dementia or major physical disability. Methods We undertook secondary analyses of data from a large cohort of community-dwelling Australians aged $$ \ge $$70 years. Multivariable logistic regression was used to compare the association of symptoms of depression (measured using the Center for Epidemiological Studies Depression Scale 10 question version, CESD at baseline) with subsequent episodes of emergency care, adjusting for physical and social factors of clinical interest. Marginal adjusted odds ratios were calculated from the logistic regression. Results Data were available for 10,837 Australian participants aged at least 70 years. In a follow-up assessment three years after the baseline assessment, 17.6% of people self-reported an episode of emergency care (attended an ED of called an emergency ambulance) in the last 12 months. Use of emergency healthcare was similar for men and women (17.8% vs. 17.4% p = 0.61). A score above the cut-off on the CESD at baseline was associated with greater use of emergency health care (OR = 1.35, 95% CI 1.11,1.64). When modelled separately, there was a greater association between a score above the cut-off on the CESD and emergency healthcare for women compared with men. Conclusions This study is unique in demonstrating how depressive symptoms among healthy older persons are associated with subsequent increased use of emergency healthcare. Improved understanding and monitoring of mental health in primary care is essential to undertake effective healthcare planning including prevention of needing emergency care.

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“…Similarly, a study conducted in Germany examining individuals with depressive and anxious symptoms during the COVID-19 pandemic identi ed three subgroups using LCA (Kenntemich, von Hülsen, Schäfer, Böttche, & Lotzin, 2023). Furthermore, a study on elderly individuals with depression utilized PHQ-9 and LCA to identify four subgroups (Holub et al, 2018), while another classi ed ve subgroups among individuals with symptoms of perinatal depression (Sun et al, 2019). Moreover, a review reported that the classi cation results of 24 LCA articles with depression subtypes were inconsistent, suggesting that discrepancies may arise due to variations in the selection criteria of indicators(Ulbricht, Chrysanthopoulou, Levin, & Lapane, 2018).…”

Section: Introductionmentioning

confidence: 99%

Subgroups of depressive Symptoms determined by a Latent Class Analysis in a Chinese College Students Population during COVID-19

Luo

Liu

et al. 2023

Preprint

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Background: The ongoing epidemic continues to exert a lasting impact on the physical and mental health of students. Therefore, it is crucial to identify the related risk factors and target populations with a high risk of mental health issues. Method: A sample of 6309 participants from 6 colleges in Guangdong Province, China was recruited from June 10 to 18, 2021. Depressive symptoms were assessed using the Patient Health Questionnaire and risk factors were assessed using the Intolerance of Uncertainty (IU) scale and demographics. Data analysis consisted of chi-square test, latent class analysis, and Multinomial Logistic Regression. Result: (1) Four latent subgroups were identified: “low-symptom group (2244, 35.57%),” “moderate-symptom group (1323, 20.97%),” “major-symptom with low-risk of suicide group (1128, 17.88%),” and “major-symptom with high-risk of suicide group (1614, 25.58%).” (2) Students with high IU were more likely to report severe suicidal ideation (OR=14.14, p<0.001,). (3) Although females were more likely to have depressive symptoms (OR=1.55, p<0.001,), but that of male may be server once they had depressive symptoms (OR=0.73, p<0.001,). (4) The students with severe depressive symptoms were likely to be non-exercise, uninfected area, unvaccinated and severer impact on family economy Conclusion: Our findings offer valuable data support for identifying subgroups that are particularly susceptible to developing depressive symptoms during the epidemic. These results have important implications for mental health interventions and the formulation of public health policies.

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Depression symptomology groups among middle and older adult emergency department patients

Cited by 7 publications

References 8 publications

Symptom Patterns of the Occurrence of Depression and Anxiety in a Japanese General Adult Population Sample: A Latent Class Analysis

Symptom Patterns of the Occurrence of Depression and Anxiety in a Japanese General Adult Population Sample: A Latent Class Analysis

Symptoms of depression and risk of emergency department visits among people aged 70 years and over

Subgroups of depressive Symptoms determined by a Latent Class Analysis in a Chinese College Students Population during COVID-19

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