Improvement in depressive symptoms and changes in self-rated health among community-dwelling disabled older adults

2006 ◽  
Vol 10 (6) ◽  
pp. 599-605 ◽  
Author(s):  
B. Han ◽  
M. Jylha
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Community Dwelling ◽  
Self Rated Health

scholarly journals Profile Groups Based on Lifestyle and Differences in Mental Health and Cognition

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 404-404
Author(s):  
Joseph Kim ◽  
Kyuree Kim
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Latent Class ◽  
Mail Survey ◽  
Later Life ◽  
Self Rated Health ◽  
Final Sample ◽  
Group 2 ◽  
Mean Differences

Abstract The purpose of this study was to identify the profiles of older adults according to lifestyle. Data for the study were from the 2017 Consumption and Activities Mail Survey (CAMS). CAMS 2017 is a questionnaire mailed to a sub-sample of respondents from the Health and Retirement Study. Participants were limited to older adults 65 and older, and the final sample consisted of 1136 older adults. The sample included 443 men and 693 women. Caucasians comprised 82.0% of the participants. Lifestyle was measured through items assessing the amount of time spent on activities. Due to high skewness, the items were dichotomized, 0=no time spent on activity and 1=time spent on the activity. Latent class analysis (LCA) was performed to identify groups based on lifestyle. LCA is a person-centered approach for identifying unobserved subgroups based on similarity in responses to items. Three lifestyle groups were identified. Group 1 was “Outgoing” with 471 individuals. Group 2 was “Adequate” with 229 individuals. Group 3 was “Inactive” with 436 individuals. An ANOVA was then conducted to assess mean differences in self-rated health, cognition, depressive symptoms, and loneliness for the three lifestyle groups. The “Outgoing” and “Adequate” groups had significantly higher scores on self-rated health and cognition, and in addition, significantly lower scores on depressive symptoms and loneliness compared to the “Inactive” group. No significant differences were observed between the “Outgoing” and “Adequate” groups. An implication from this study is the importance of maintaining an active lifestyle in later life for better mental health and cognition.

scholarly journals Health and social care service utilisation and associated expenditure among community-dwelling older adults with depressive symptoms

2021 ◽  
Vol 30 ◽  
Author(s):  
Shiyu Lu ◽  
Tianyin Liu ◽  
Gloria H. Y. Wong ◽  
Dara K. Y. Leung ◽  
Lesley C. Y. Sze ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Symptom Severity ◽  
Social Care ◽  
Late Life ◽  
Community Dwelling ◽  
Service Utilisation ◽  
Late Life Depression ◽  
Social Care Service ◽  
Health And Social Care

Abstract Aims Late-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. Methods We 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. Results The 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). Conclusions The 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.

scholarly journals Predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes: a cross-sectional survey

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e041578
Author(s):  
Linglin Kong ◽  
Huimin Zhao ◽  
Junyao Fan ◽  
Quan Wang ◽  
Jie Li ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Community Health ◽  
Community Dwelling ◽  
Central China ◽  
Chinese Community ◽  
Cross Sectional ◽  
Community Dwelling Older Adults

ObjectivesTo assess the prevalence of frailty and identify predictors of frailty among Chinese community-dwelling older adults with type 2 diabetes.DesignA cross-sectional design.SettingTwo community health centres in central China.Participants291 community-dwelling older adults aged ≥65 years with type 2 diabetes.Main outcome measuresData were collected via face-to-face interviews, anthropometric measurements, laboratory tests and community health files. The main outcome measure was frailty, as assessed by the frailty phenotype criteria. The multivariate logistic regression model was used to identify the predictors of frailty.ResultsThe prevalence of prefrailty and frailty were 51.5% and 19.2%, respectively. The significant predictors of frailty included alcohol drinking (ex-drinker) (OR 4.461, 95% CI 1.079 to 18.438), glycated haemoglobin (OR 1.434, 95% CI 1.045 to 1.968), nutritional status (malnutrition risk/malnutrition) (OR 8.062, 95% CI 2.470 to 26.317), depressive symptoms (OR 1.438, 95% CI 1.166 to 1.773) and exercise behaviour (OR 0.796, 95% CI 0.716 to 0.884).ConclusionsA high prevalence of frailty was found among older adults with type 2 diabetes in the Chinese community. Frailty identification and multifaceted interventions should be developed for this population, taking into consideration proper glycaemic control, nutritional instruction, depressive symptoms improvement and enhancement of self-care behaviours.

scholarly journals Assessing the Impact of a Hilly Environment on Depressive Symptoms among Community-Dwelling Older Adults in Japan: A Cross-Sectional Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4520
Author(s):  
Takafumi Abe ◽  
Kenta Okuyama ◽  
Tsuyoshi Hamano ◽  
Miwako Takeda ◽  
Masayuki Yamasaki ◽  
...  
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Rural Setting ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact ◽  
Community Dwelling Older Adults

Although some neighborhood environmental factors have been found to affect depressive symptoms, few studies have focused on the impact of living in a hilly environment, i.e., land slope, on depressive symptoms among rural older adults. This cross-sectional study aimed to investigate whether a land slope is associated with depressive symptoms among older adults living in rural areas. Data were collected from 935 participants, aged 65 years and older, who lived in Shimane prefecture, Japan. Depressive symptoms were assessed using the Zung Self-Rating Depression Scale (SDS) and defined on the basis of an SDS score ≥ 40. Land slopes within a 400 m network buffer were assessed using geographic information systems. Odds ratios (ORs) with 95% confidence intervals (CIs) of depressive symptoms were estimated using logistic regression. A total of 215 (23.0%) participants reported depressive symptoms. The land slope was positively associated with depressive symptoms (OR = 1.04; 95% CI = 1.01–1.08) after adjusting for all confounders. In a rural setting, living in a hillier environment was associated with depressive symptoms among community-dwelling older adults in Japan.

scholarly journals Depression and Psychological Well-Being as Distinct Constructs: Mutually Exclusive Associations With Biomarker

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 251-251
Author(s):  
Kheng Siang Ted Ng ◽  
Shu Cheng Wong ◽  
Glenn Wong ◽  
Ee Heok Kua ◽  
Anis Larbi ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Factor Score ◽  
Well Being ◽  
Community Dwelling ◽  
The Other ◽  
Factor Scores ◽  
Psychological Well Being ◽  
Wide Range

Abstract Despite increasing emphasis on assessing the mental health of older adults, there has been inconclusive evidence on whether depression and psychological well-being (PWB) are fundamentally distinct constructs or representations of the opposite ends of the mental health spectrum. To instantiate either hypothesis, investigation of the associations between mental health scales and biomarkers have been proposed. First, we assessed depressive symptoms and PWB in community-dwelling older adults (N=59, mean age=67) using the Self-Rating Depression Scale (SDS) and Ryff’s Scale of PWB (comprising six sub-scales). We measured a wide range of immune markers employing ELISA and flow cytometry. Subsequently, we used principal component analysis (PCA) to aggregate and derived biomarker factor scores. Lastly, multiple linear regressions were performed to examine the associations between the scales and the derived biomarker factor scores, controlling for covariates. PCA extracted six biomarker factors. Biomarker factor score 1 was significantly associated with PWB (β=-0.029, p=0.035) and the PWB sub-scale, self-acceptance (β=-0.089, p=0.047), while biomarker factor score 4 was significantly associated with the PWB sub-scale, purpose in life (β=-0.087, p=0.025). On the other hand, biomarker factor 6 was significantly associated with SDS (β=-0.070, p=0.008). There were mutually- exclusive associations between the scales with biomarker factor scores, supporting the hypothesis of distinct constructs. Our findings expanded the biomarkers of depression and PWB, deepening understanding of the biological underpinnings of depressive symptoms and PWB. These findings have implications in field work, since researchers could not infer one construct from the other, the examination of both constructs are essential.

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