Interaction between worsening cognitive function and deteriorating functional status on depressive symptoms among Chinese community‐dwelling elders

2020 ◽  
Vol 20 (4) ◽  
pp. 343-347
Author(s):  
Juan Wang ◽  
Wei‐Heng Zhu ◽  
You‐Fu Li ◽  
Wei‐Wen Zhu
Keyword(s):  
Depressive Symptoms ◽  
Cognitive Function ◽  
Functional Status ◽  
Community Dwelling ◽  
Chinese Community

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 Telomere length and cognitive function in southern Chinese community-dwelling male elders

2013 ◽  
Vol 42 (4) ◽  
pp. 450-455 ◽  
Author(s):  
S. L. Ma ◽  
E. S. S. Lau ◽  
E. W. C. Suen ◽  
L. C. W. Lam ◽  
P. C. Leung ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Telomere Length ◽  
Community Dwelling ◽  
Chinese Community ◽  
Southern Chinese

scholarly journals INFLUENCING FACTORS OF SUBJECTIVE AGE: FINDINGS FROM THE KUSATSU LONGITUDINAL STUDY ON AGING AND HEALTH

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S695-S696
Author(s):  
Tomoko Ikeuchi ◽  
Satoshi Seino ◽  
Yu Taniguchi ◽  
Miki Narita ◽  
Takumi Abe ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Cognitive Function ◽  
Influencing Factors ◽  
Community Dwelling ◽  
Chronological Age ◽  
Social Changes ◽  
Subjective Age ◽  
Age Related ◽  
Years Of Schooling

Abstract Background: Subjective age (SA) has been found to be a biopsychosocial marker of aging, yet little is known about factors that influence SA development. This study examined factors influencing SA using longitudinal data of community-dwelling older Japanese. Methods: Data drawn from the Kusatsu Longitudinal Study were collected during annual health check-ups in 2017 and 2018 from participants (aged 65-95) who completed all the measurement items used for this analysis (N=981). SA was indexed by asking participants to specify in years how old they felt. Proportional discrepancy scores ((subjective age - chronological age)/chronological age ×100) were calculated to indicate younger or older SAs and used as a dependent variable. As influencing factors of SA, chronological age, sex, years of schooling, history of smoking, cognitive function (using MMSE scores, range 14-30 at baseline), depressive symptoms, physical function (gait speed), and social function (employment status) were examined. Analyses were performed with random-effects GLS regression models. Results: Significant partial regression coefficients were found for cognitive function (0.48%, CI: 0.18, 0.79), years of schooling (-0.42%, CI: -0.69, -0.15), depressive symptoms (0.32%, CI: 0.11, 0.53), and chronological age (-0.18%, CI: -0.30, -0.68). Implications: This study found that older age and longer years of schooling were associated with younger SA, while better cognition and depressive symptoms were linked to older SA. Better cognition being associated with older SA was inconsistent with existing studies. This may be due in part to the association of better cognition and the level of satisfaction influenced by awareness of age-related physical/social changes.

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