Dataset Information

Correlation of sarcopenia and depressive mood in older community dwellers: a cross-sectional observational study in China.

ABSTRACT: OBJECTIVE:Whether sarcopenia is detrimental to depression is still controversial, which may be due to the three components of the sarcopenia. Our objective was to define the correlation between depression and sarcopenia in older Chinese community dwellers. DESIGN:The study has a cross-sectional design. SETTING:The study was conducted in Jiangsu, China. PARTICIPANTS:A total of 101 men and 149 women aged 60 years or older were recruited. OUTCOME MEASURES:Lean tissue mass was measured by dual-energy X-ray absorptiometry. Muscle strength in the upper and lower limbs was measured by a handheld dynamometer and a chair stand test, respectively. Physical performance was assessed by gait speed and standing balance tests. Depressive mood was assessed using the Geriatric Depression Scale-30 (range 0-30). RESULTS:Participants in the sarcopenia group had a higher mean depression score than the normal group (p=0.002). Pearson's correlation analysis showed that depression was negatively associated with muscle strength (handgrip strength: R=-0.170, p=0.028 for women, R=-0.196, p=0.048 for men; chair stand test performance: R=0.252, p=0.002 for women, R=0.311, p=0.001 for men) and physical performance (gait speed: R=-0.200, p=0.009, standing balance test performance: R=-0.224, p=0.006, Short Physical Performance Battery (SPPB): R=-0.218, p=0.007 for women; SPPB: R=-0.252, p=0.01 for men). Multiple linear regression models revealed that depressive mood was inversely associated with chair stand test (?=0.325, p<0.001), gait speed (?=-0.009, p=0.041) and standing balance test (?=-0.24, p=0.016) after adjusting for confounding factors, while no significant correlation was observed between depressive mood and muscle mass. CONCLUSION:The diagnostic components of sarcopenia-strength of the leg muscles (chair stand test) and physical performance (gait speed and standing balance test)-were associated with depressive mood.

SUBMITTER: Chen L

PROVIDER: S-EPMC7467510 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Correlation of sarcopenia and depressive mood in older community dwellers: a cross-sectional observational study in China.

Chen Lei L Sheng Yunlu Y Qi Hanmei H Tang Tingting T Yu Jing J Lv Shan S

BMJ open 20200901 9

<h4>Objective</h4>Whether sarcopenia is detrimental to depression is still controversial, which may be due to the three components of the sarcopenia. Our objective was to define the correlation between depression and sarcopenia in older Chinese community dwellers.<h4>Design</h4>The study has a cross-sectional design.<h4>Setting</h4>The study was conducted in Jiangsu, China.<h4>Participants</h4>A total of 101 men and 149 women aged 60 years or older were recruited.<h4>Outcome measures</h4>Lean ti ...[more]

PMID: 32873679

Similar Datasets

Project description:Background and objectivesDepression and cognitive impairment are common and often coexist in older adults. The network theory of mental disorders provides a novel approach to understanding the pathways between depressive symptoms and cognitive domains and the potential "bridge" that links and perpetuates both conditions. This study aimed to identify pathways and bridge symptoms between depressive symptoms and cognitive domains in older adults.Research design and methodsData were derived from 2,792 older adults aged 60 years and older with mild and more severe depressive symptoms from the community in Hong Kong. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) and cognition using the Montreal Cognitive Assessment 5-minute protocol (MoCA-5min). Summary descriptive statistics were calculated, followed by network estimation using graphical LASSO, community detection, centrality analysis using bridge expected influence (BEI), and network stability analyses to assess the structure of the PHQ-9 and MoCA-5min items network, the pathways, and the bridge symptoms.ResultsParticipants (mean age = 77.3 years, SD = 8.5) scored 8.2 (SD = 3.4) on PHQ-9 and 20.3 (SD = 5.4) on MoCA-5min. Three independent communities were identified in PHQ-9 and MoCA-5min items, suggesting that depression is not a uniform entity (2 communities) and has differential connections with cognition. The network estimation results suggested that the 2 most prominent connections between depressive symptoms and cognitive domains were: (1) anhedonia with executive functions/language and (2) sad mood with memory. Among all depressive symptoms, sad mood had the highest BEI, bridging depressive symptoms and cognitive domains.Discussion and implicationsSad mood seems to be the pathway between depression and cognition in this sample of older Chinese. This finding highlights the importance of sad mood as a potential mechanism for the co-occurrence of depression and cognitive impairment, implying that intervention targeting sad mood might have rippling effects on cognitive health.

Project description:BACKGROUND:Population growth, population ageing, and urbanisation are major global demographic trends that call for an examination of the impact of urban densification on older adults' health-enhancing behaviours, such as walking. No studies have examined the pathways through which urban densification may affect older adults' walking. This information is key to evidence-based, health-oriented urban and transport planning. This study aimed to identify neighbourhood environment characteristics potentially responsible for the effects of neighbourhood densification on older adults' frequency and amount of transportation and recreation walking within and outside the neighbourhood. METHODS:The Active Lifestyle and the Environment in Chinese Seniors (ALECS) project collected self-reported data from 909 older adults (??65 years) living in 128 physically and socially diverse neighbourhoods in Hong Kong (71% response rate). Walking was measured using the Neighbourhood Walking Questionnaire for Chinese Seniors. Objective residential density and other neighbourhood environmental attributes were assessed using Geographic Information Systems. Generalised additive mixed models examined the total effects of neighbourhood residential density on walking and the mediating role of other environmental attributes and car ownership. RESULTS:A complex network of potential pathways of positive and negative influences of neighbourhood residential density on different aspects of walking was revealed. While residential density was positively related to within-neighbourhood transportation and outside-neighbourhood recreation walking only, it exhibited positive and/or negative nonlinear indirect effects on all examined aspects of walking via recreation, public transport, food/retail and street intersection densities, and/or car ownership. CONCLUSIONS:High-density environments appear to support within-neighbourhood walking by providing access to food and retail outlets via well-connected street networks and discouraging car ownership. However, extreme density may lead to reductions in walking. Public transport density accompanying high-density areas may facilitate outside-neighbourhood walking but deter within-neighbourhood walking. The development of activity-friendly communities for ageing populations need to consider these opposing influences.

Project description:Background: Little is known about whether sarcopenia predicts incident depressive symptoms in older adults. Using the nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted cross-sectional and longitudinal analyses to estimate the association between sarcopenia and depressive symptoms among older adults. Methods: The sample comprised 7,706 participants aged at least 60 years (50.6% women; mean age 68.0 ± 6.5) from the CHARLS 2015. Based on the Asian Working Group for Sarcopenia 2019 (AWGS 2019) criteria, sarcopenia status was classified into three types: no-sarcopenia, possible sarcopenia, and sarcopenia. Depressive symptoms were assessed using the validated 10-items of the Center for Epidemiologic Studies Depression Scale. A cross-sectional analysis was used to examine the relationship between sarcopenia status and depressive symptoms. A total of 4,652 participants without depressive symptoms were recruited from the same cohort in 2015 and were followed up in 2018. Cox proportional hazards regression models were conducted to examine the effect of sarcopenia status on subsequent depressive symptoms with the report of hazard ratio (HR). Results: The prevalence of depressive symptoms in total populations, no-sarcopenia, possible sarcopenia, and sarcopenia individuals were 27.1% (2085/7706), 21.5% (927/4310), 33.6% (882/2627), and 35.9% (276/769), respectively. Both possible sarcopenia (OR: 1.75, 95% CI: 1.46-2.10) and sarcopenia (OR: 1.64, 95% CI: 1.23-2.19) were positively associated with higher odds of depressive symptoms (all p < 0.01). During the 3.7 years of follow-up, 956 cases (20.6%) with incident depressive symptoms were identified. In the longitudinal analysis, individuals with the diagnosed possible sarcopenia (HR: 1.27, 95% CI: 1.01-1.58) and sarcopenia participants (HR: 1.49, 95% CI: 1.06-2.09) were more likely to have new onset depressive symptoms than no-sarcopenia peers. Conclusions: Both possible sarcopenia and sarcopenia, assessed using the AWGS 2019 criteria, were independent predictors for the occurrence of depressive symptoms among Chinese older adults. Our findings provided new evidence supporting the longitudinal connection between sarcopenia and mental health problems, it also provides further justification for timely identification and management of both possible sarcopenia and sarcopenia as part of comprehensive strategies to fight against depressive symptoms.

Project description:BackgroundInflammatory indexes (platelet-to-lymphocyte ratio [PLR], neutrophil-to-lymphocyte ratio [NLR], and lymphocyte-to-monocyte ratio [LMR]) are recently supposed to be the biomarkers of sarcopenia. We aimed to validate the association between these inflammatory indexes and sarcopenia in Chinese community-dwelling older people.MethodsWe consecutively recruited community-dwelling older adults aged 60 years or older. The neutrophil, lymphocyte, monocyte, and platelet counts, and C-reactive protein (CRP) were tested using standard methods. Sarcopenia was defined according to different criteria: the Asian Working Group for Sarcopenia (AWGS), the updated version of AWGS (AWGS 2019), the European Working Group on Sarcopenia in Older People (EWGSOP), the updated version of EWGSOP (EWGSOP2), the International Working Group on Sarcopenia (IWGS), and the Foundation for the National Institutes of Health Sarcopenia Project (FNIH). Multiple logistic regression analysis was performed.ResultsWe included 384 participants. A total of 61 participants (15.9%) were diagnosed with sarcopenia according to the AWGS criteria. There was no significant difference in PLR, NLR, LMR, and CRP between the sarcopenia group and the non-sarcopenia group regardless of the diagnostic criteria. No significant association between PLR, NLR, LMR, and AWGS-defined sarcopenia was found (PLR per 1- standard deviation [SD]: adjusted odds ratio [OR] 1.09, 95% confidence interval [CI] 0.82 to 1.45; NLR per 1-SD: adjusted OR 0.96, 95% CI 0.71 to 1.30; LMR per 1-SD: adjusted OR 1.01, 95% CI 0.74 to 1.38). Similar results were found when sarcopenia was defined by different criteria and when PLR, NLR, LMR were treated as categorical variables.ConclusionsOur study did not support the utility of the inflammatory indexes (NLR, PLR, and LMR) as the biomarkers of sarcopenia in Chinese community-dwelling older people. However, considering the inflammatory indexes can be simply calculated from a routine blood test, further studies in different populations remain warranted.

Dataset Information

Correlation of sarcopenia and depressive mood in older community dwellers: a cross-sectional observational study in China.

Publications

Correlation of sarcopenia and depressive mood in older community dwellers: a cross-sectional observational study in China.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets