Project description:The allostatic load model has been used to quantify the physiological costs of the body's response to repeated stressful demands and may provide a useful, integrative perspective on the various correlates of late-life depressive symptoms. We interviewed 125 Rochester, NY adults, ranging in age from 67 to 94 years. We employed an allostatic load score as a measure of multisystem dysfunction in hypothalamic–pituitary–adrenal axis function, immune function, anabolic activity, and cardiovascular activity. Overall, affective, and somatic depressive symptom scores were computed using the 20-item Center for Epidemiologic Studies Depression Scale. Multiple linear regression models were used to estimate associations between allostatic load scores and affective, somatic, and overall depressive symptoms. Among our sample of mean age 76.1 years, the one-week prevalence of clinically significant depressive symptoms was 12.8%. In models adjusting for demographic, socioeconomic, and health-related factors, higher allostatic load scores were associated with elevated scores for overall, affective, and somatic depressive symptoms: beta = 1.21 (95% CI = 0.38, 2.05); beta = 0.14 (95% CI = 0.040, 0.24); beta = 0.60 (95% CI = 0.23, 0.97), respectively. Our results suggest that allostatic load measure is associated with late-life depressive symptoms. This association appears to be of clinical significance, as the magnitude of the effect size was comparable (but opposite in direction) to that of antidepressant use. Future research should examine the inter-relationships of allostatic load, psychological stress, and late-life depressive symptoms.
Project description:The 15-item Geriatric Depression Scale (GDS-15) is widely used to screen for depressive symptoms among older populations. This study aimed to develop and validate a questionnaire-free, machine-learning model as an alternative triage test for the GDS-15 among community-dwelling older adults. The best models were the random forest (RF) and deep-insight visible neural network by internal validation, but both performances were undifferentiated by external validation. The AUROC of the RF model was 0.619 (95% CI 0.610 to 0.627) for the external validation set with a non-local ethnic group. Our triage test can allow healthcare professionals to preliminarily screen for depressive symptoms in older adults without using a questionnaire. If the model shows positive results, then the GDS-15 can be used for follow-up measures. This preliminary screening will save a lot of time and energy for healthcare providers and older adults, especially those persons who are illiterate.
Project description:AimTo assess prevalence and characteristics of vasomotor symptoms in community-dwelling Japanese women.MethodsThese were cross-sectional analyses using data from the National Institute for Longevity Sciences-Longitudinal Study of Aging. The main outcome measures were prevalence and severity of hot flashes and sweating. Associations between hot flashes/sweating (slight, moderate, or severe vs none) and sleep problems were explored using logistic regression, with and without adjustment for age, daily physical activity, and number of urinations/night. Associations between hot flashes/sweating and sleep problems, depressive symptoms, and dietary variables were explored in logistic regression models or general linear models.ResultsA total of 1152 women between 40 and 91 years of age were enrolled. Hot flashes were reported by 24.5% of participants; with prevalence and severity highest in those 50-54 years or 2-5 years postmenopause. Sleep problems were reported 15 percentage points more frequently by women who reported hot flashes than by those without hot flashes. Adjusted odds ratios [95% CI] for difficulty in falling asleep and difficulty in sleeping through were 2.09 [1.565-2.796] and 2.07 [1.549-2.763]), respectively. Also, hot flashes were associated with higher risk of depressive symptoms (adjusted odds ratio [95% CI]: 2.99 [2.07-4.32]) and lower life satisfaction, self-esteem, and self-rated health status. A similar pattern was observed in women with and without sweating. No associations were found between hot flashes and dietary factors.ConclusionsClear associations were found between hot flashes and sleeping problems, even after adjusting for potential confounding factors. Women who reported hot flashes also reported worse mental and physical health than those who did not report hot flashes.
Project description:The aim of this cross-sectional study was to investigate relationships between individuals' ratings of satisfaction and performance of activities that they found meaningful and depressive symptoms. Data was obtained from 806 older adults (mean age 74.9 ± 6.3 years, women = 63.0%) who participated in a community-based health check survey (Tarumizu Study 2018). Participants selected meaningful activities from 95 activities using the Aid for Decision-Making in Occupation Choice and evaluated their satisfaction and performance. Depressive symptoms were assessed using the 15-item Geriatric Depression Scale (GDS-15) and defined by a GDS-15 score of ≥5. Non-linear logistic regression analyses were used separately by gender to examine the association between satisfaction and performance of meaningful activities and depressive symptoms. The prevalence of depressive symptoms was 15.8%. We found no significant difference between meaningful activity choice between older adults with depressive symptoms and those without, in both men and women. After adjusting for potential covariates, satisfaction was associated with depressive symptoms in both men (OR 0.52, 95% CI 0.35-0.77) and women (OR 0.67, 95% CI 0.49-0.91), but performance was limited in women (OR 0.87, 95% CI 0.77-0.99). Our findings suggest that depressive symptoms are associated with satisfaction in meaningful activities regardless of activity categories.
Project description:High-level depressive symptoms have been reported in individuals with mild cognitive impairment (MCI), resulting in increased risk of progression to dementia. However, studies investigating the correlates of depressive symptoms among this population are scarce. This study aimed to investigate the significant socio-demographic, lifestyle-related and disease-related correlates of depressive symptoms among this cohort. Cross-sectional data were obtained from a sample of 154 Chinese community-dwelling older adults with MCI. MCI subjects were screened by the Montreal Cognitive Assessment. Depressive symptoms were measured by the Geriatric Depression Scale. Possible correlates of depressive symptoms in individuals with MCI were explored by multiple linear regressions. The prevalence of depressive symptoms among Chinese older adults with MCI was 31.8%. In multiple regression analysis, poor perceived positive social interaction, small social network, low level of physical activity, poor functional status, subjective memory complaint, and poor health perception were correlated with depressive symptoms. The findings highlight that depressive symptoms are sufficient to warrant evaluation and management in older adults with MCI. Addressing social isolation, assisting this vulnerable group in functional and physical activities, and cultivating a positive perception towards cognitive and physical health are highly prioritized treatment targets among individuals with MCI.
Project description:RationaleFalls are common among older adults and may be related to depressive symptoms (DS). With advancing age, there is an onset of chronic conditions, sensory impairments, and activity limitations that are associated with falls and with depressive disorders. Prior cross-sectional studies have observed significant associations between DS and subsequent falls as well as between fractures and subsequent clinical depression and DS.ObjectiveThe directionality of these observed relationship between falls and DS is in need of elaboration given that cross-sectional study designs can yield biased estimates of the DS-falls relationship.MethodsUsing 2006-2010 Health and Retirement Study data, cross-lagged panel structural equation models were used to evaluate associations between falls and DS among 7233 community-dwelling adults ages ≥65. Structural coefficients between falls and DS (in 2006→2008, 2008→2010) were estimated.ResultsA good-fitting model was found: Controlling for baseline (2006) physical functioning, vision, chronic conditions, and social support and neighborhood social cohesion, falls were not associated with subsequent DS, but a 0.5 standard deviation increase in 2006 DS was associated with a 30% increase in fall risk two years later. This DS-falls relationship was no longer significant when use of psychiatric medications, which was positively associated with falls, was included in the model.ConclusionUsing sophisticated methods and a large U.S. sample, we found larger magnitudes of effect in the DS-falls relationship than in prior studies-highlighting the risk of falls for older adults with DS. Medical providers might assess older individuals for DS as well as use of psychotropic medications as part of a broadened falls prevention approach. National guidelines for fall risk assessments as well as quality indicators for fall prevention should include assessment for clinical depression.
Project description:AimsLate-life depression has substantial impacts on individuals, families and society. Knowledge gaps remain in estimating the economic impacts associated with late-life depression by symptom severity, which has implications for resource prioritisation and research design (such as in modelling). This study examined the incremental health and social care expenditure of depressive symptoms by severity.MethodsWe analysed data collected from 2707 older adults aged 60 years and over in Hong Kong. The Patient Health Questionnaire-9 (PHQ-9) and the Client Service Receipt Inventory were used, respectively, to measure depressive symptoms and service utilisation as a basis for calculating care expenditure. Two-part models were used to estimate the incremental expenditure associated with symptom severity over 1 year.ResultsThe average PHQ-9 score was 6.3 (standard deviation, s.d. = 4.0). The percentages of respondents with mild, moderate and moderately severe symptoms and non-depressed were 51.8%, 13.5%, 3.7% and 31.0%, respectively. Overall, the moderately severe group generated the largest average incremental expenditure (US$5886; 95% CI 1126-10 647 or a 272% increase), followed by the mild group (US$3849; 95% CI 2520-5177 or a 176% increase) and the moderate group (US$1843; 95% CI 854-2831, or 85% increase). Non-psychiatric healthcare was the main cost component in a mild symptom group, after controlling for other chronic conditions and covariates. The average incremental association between PHQ-9 score and overall care expenditure peaked at PHQ-9 score of 4 (US$691; 95% CI 444-939), then gradually fell to negative between scores of 12 (US$ - 35; 95% CI - 530 to 460) and 19 (US$ -171; 95% CI - 417 to 76) and soared to positive and rebounded at the score of 23 (US$601; 95% CI -1652 to 2854).ConclusionsThe association between depressive symptoms and care expenditure is stronger among older adults with mild and moderately severe symptoms. Older adults with the same symptom severity have different care utilisation and expenditure patterns. Non-psychiatric healthcare is the major cost element. These findings inform ways to optimise policy efforts to improve the financial sustainability of health and long-term care systems, including the involvement of primary care physicians and other geriatric healthcare providers in preventing and treating depression among older adults and related budgeting and accounting issues across services.
Project description:This longitudinal study examines the association between bedroom nighttime temperature and sleep quality in a sample of community dwelling older adults. Using wearable sleep monitors and environmental sensors, we assessed sleep duration, efficiency, and restlessness over an extended period within participants' homes while controlling for potential confounders and covariates. Our findings demonstrated that sleep was most efficient and restful when nighttime ambient temperature ranged between 20 and 25 °C, with a clinically relevant 5-10 % drop in sleep efficiency when the temperature increased from 25 °C to 30 °C. The associations were primarily nonlinear, and substantial between-subject variations were observed. These results highlight the potential to enhance sleep quality in older adults by optimizing home thermal environments and emphasize the importance of personalized temperature adjustments based on individual needs and circumstances. Additionally, our study underscores the potential impact of climate change on sleep quality in older adults, particularly those with lower socioeconomic status, and supports increasing their adaptive capacity in the face of a changing climate.
Project description:This was the first study to use cluster analysis to characterise sleep discrepancy (the discordance between self-reported and objective sleep) across multiple sleep parameters, in community-dwelling older adults. For sleep efficiency, negative discrepancy (the tendency to self-report worse sleep than objectively-measured) was associated with poorer memory, independent of insomnia severity, depressive symptoms and objective sleep. This suggests a unique role for sleep discrepancy as a possible risk factor for future cognitive decline, and warrants the need for further research.