Depression in the elderly is often associated with coexisting medical illnesses. We investigated the individual and combined impacts of depression and medical illnesses on disability and quality of life among community-living older persons.

Cross-sectional and longitudinal analyses of data from 1,844 participants aged 55 and above of the Singapore Longitudinal Aging Study (SLAS-1). Baseline depressive symptoms (Geriatric Depressive Scale, GDS≥5) and chronic medical comorbidity (≥2) from self-reports were related to baseline and 2-year follow up instrumental and basic activities of daily living (IADL-BADL), and quality of life (Medical Outcomes Study 12-item Short Form (SF-12) physical component summary (PCS) and mental component summary (MCS) scores.

The prevalence of depressive symptoms was 11.4%. In main effect analyses of cross-sectional and longitudinal relationships, depression and medical comorbidity were individually associated with higher risk of IADL-BADL disability and lower PCS and MCS scores of quality of life, and only medical comorbidity was associated with increased risk of hospitalization. Significant interactive effects of depression and medical comorbidity were observed in longitudinal relationships with IADL-BADL disability (p = 0.03), PCS (p < 0.01), and MCS (p < 0.01) scores at follow up. The associations of medical comorbidity with increased odds of IADL-BADL disability and decreased SF-12 PCS and MCS scores were at least threefolds stronger among depressed than nondepressed individuals.

Medical comorbidities and depression exert additive and multiplicative effects on functional disability and quality of life. The adverse impact and potential treatment benefits of coexisting mental and physical conditions should be seriously considered in clinical practice.

Caregiver burden includes the many physical, mental and socio-economic problems arising from caring for individuals with chronic and disabling diseases. Being a carer in sub-Saharan Africa (SSA), where little is known about chronic neurological conditions, may be extremely demanding. Conversely, multigenerational living may allow sharing of care among many caregivers. We wished to determine the relative burden of caring for two chronic neurodegenerative conditions (Parkinson's disease (PD) and dementia) in rural Tanzania.

All surviving patients from a PD prevalence study, newly identified people with PD from a neurological disorders study and all people with dementia from a dementia prevalence study in Hai, rural Tanzania, were invited to participate. The Zarit Burden Interview (ZBI) was used to determine level of caregiver strain (higher score reflects more strain).

Of 25 PD patients ZBI was recorded in 20 (14 male). Five had no identifiable carer as they were largely independent. Three had PD dementia (PDD). Of 75 people with dementia (excluding 3 PDD), 43 (32 female) completed the ZBI. For the other 32, the caregivers felt the care they provided was a normal intergenerational expectation. Median ages were 78.5 and 85 years for PD and dementia, respectively. Median ZBI was 30.5 for PD and 14 for dementia (U = 166.0, z = –3.913, p < 0.001). Disease duration and disease type (PD or dementia) were univariate predictor of ZBI score, although only disease type was predictive by multivariable linear regression.

Caring for an individual with PD may be more burdensome than caring for an individual with dementia in SSA. People with more advanced PD had higher caregiver burden.

Delirium is a common neuropsychiatric syndrome with considerable heterogeneity in clinical profile. Identification of clinical subtypes can allow for more targeted clinical and research efforts. We sought to develop a brief method for clinical subtyping in clinical and research settings.

A multi-site database, including motor symptom assessments conducted in 487 patients from palliative care, adult and old age consultation-liaison psychiatry services was used to document motor activity disturbances as per the Delirium Motor Checklist (DMC). Latent class analysis (LCA) was used to identify the class structure underpinning DMC data and also items for a brief subtyping scale. The concordance of the abbreviated scale was then compared with the original Delirium Motor Subtype Scale (DMSS) in 375 patients having delirium as per the American Psychiatric Association's Diagnostic and Statistical Manual (4th edition) criteria.

Latent class analysis identified four classes that corresponded closely with the four recognized motor subtypes of delirium. Further, LCA of items (n = 15) that loaded >60% to the model identified four features that reliably identified the classes/subtypes, and these were combined as a brief motor subtyping scale (DMSS-4). There was good concordance for subtype attribution between the original DMSS and the DMSS-4 (κ = 0.63).

The DMSS-4 allows for rapid assessment of clinical subtypes in delirium and has high concordance with the longer and well-validated DMSS. More consistent clinical subtyping in delirium can facilitate better delirium management and more focused research effort.