Self-Reported Cognitive Frailty Predicts Adverse Health Outcomes for Community-Dwelling Older Adults Based on an Analysis of Sex and Age

Okura, Mika; Ogita, Mihoko; Arai, Hidenori

doi:10.1007/s12603-019-1217-7

Cited by 19 publications

(22 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the response frequencies for the lower order questions, the prevalence of affirmative answers to, “Do your family or your friends point out your memory loss?” and, “Do you find yourself not knowing today’s date?” was high, whereas that for, “Do you make a call by looking up phone numbers?” was low. This tendency was similar to that reported in previous studies among Japanese, community-dwelling older adults [ 35 , 50 ]. Both the SCD prevalence and lower order response frequencies were thus broadly consistent with those reported in previous studies.…”

Section: Discussionsupporting

confidence: 92%

“…The prevalence of SCD (KCL-CF ≥ 1) among subjects in this study was 35.4%. Previously, the prevalence of SCD among Japanese, community-dwelling older adults was reported as 32.5% [ 34 ], 34.5% [ 50 ], 34.9% [ 35 ], and 37.6% [ 51 ]. Regarding the response frequencies for the lower order questions, the prevalence of affirmative answers to, “Do your family or your friends point out your memory loss?” and, “Do you find yourself not knowing today’s date?” was high, whereas that for, “Do you make a call by looking up phone numbers?” was low.…”

Section: Discussionmentioning

confidence: 99%

“…Its validity [ 24 , 31 ] and reliability [ 32 ] have been established. The questions are as follows [ 32 ]: “Do your family or your friends point out your memory loss?”; “Do you make a call by looking up phone numbers?”; “Do you find yourself not knowing today’s date?” In previous studies, KCL-CF was used as an index of subjective memory complaints [ 33 ], subjective cognitive complaints [ 34 ], and self-reported-cognitive decline [ 35 ]. In the present study, however, KCL-CF was considered the index of SCD.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Subjective and Objective Mental and Physical Functions Affect Subjective Cognitive Decline in Community-Dwelling Elderly Japanese People

et al. 2020

View full text Add to dashboard Cite

Subjective cognitive decline (SCD) is complex and not well understood, especially among Japanese people. In the present study, we aimed to elucidate the relationships of subjective and objective mental and physical function with SCD among older community-dwelling Japanese adults. SCD was evaluated using the Kihon Checklist: Cognitive Function. Other parameters were evaluated using the Mini-Mental State Examination (MMSE) and the five-item version of the Geriatric Depression Scale (GDS-5), for an objective mental function other than SCD. A timed up-and-go test (TUG) and knee extension strength were used to test objective physical function, and the Mental Component Summary (MCS) and Physical Component Summary (PCS) in the Health-Related Quality of Life survey eight-item short form (SF-8) were used for subjective mental and physical functions. The results of the MMSE, GDS-5, TUG, knee extension strength, and MCS were significantly worse in the SCD group. In addition, logistic regression analysis showed that GDS-5 and MCS were associated with SCD onset. Depressive symptoms and decreased subjective mental function contribute to SCD among community-dwelling Japanese adults. These findings will be useful for planning dementia prevention and intervention programs for older Japanese adults.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Subjective and Objective Mental and Physical Functions Affect Subjective Cognitive Decline in Community-Dwelling Elderly Japanese People

et al. 2020

View full text Add to dashboard Cite

show abstract

“…A total of 10 studies (Aliberti et al., 2019; Avila‐Funes et al., 2009; Downer et al., 2019; Esteban‐Cornejo et al., 2019; Hao et al., 2018; Lee et al., 2018; Liu et al., 2018; Okura et al., 2019; Solfrizzi et al., 2017; St John et al., 2017) described the relationship between cognitive frailty and mortality. The combined results of the included studies indicated that there was heterogeneity between the studies ( I 2 = 58.3%, p = .004).…”

Section: Resultsmentioning

confidence: 99%

“…After carrying out the subgroup analysis, we found that heterogeneity was significantly reduced. In addition to the two studies that could not be combined (Aliberti et al., 2019; Okura et al., 2019), the assessment method of the frailty index (FI) combined with the mini‐mental state examination (MMSE) showed that the highest risk of all‐cause mortality was in the older adults with cognitive frailty [HR = 2.23, 95% CI (1.74, 2.85), p = .000]. The combined effect quantity of the frailty phenotype (FP) combined with the MMSE, and the modified version of the frailty phenotype mFP) combined with the MMSE assessment tool was [HR = 1.46, 95% CI (1.21, 1.77), p = .000], [HR = 1.88, 95% CI (1.55, 2.20), p = .000], respectively, as shown in Figure 3.…”

Section: Resultsmentioning

confidence: 99%

Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta‐analysis

Huang

Xue

et al. 2020

Brain and Behavior

View full text Add to dashboard Cite

Objective A systematic review and meta‐analysis basing on the prospective cohort studies were conducted to explore the risk of all‐cause mortality and dementia in cognitively frail older adults compared to robust older adults and to determine whether it was a predictor of adverse outcomes. Methods Pubmed, Web of Science, The Cochrane Library, EMBASE, and CINAHL databases were searched to retrieve studies on adverse outcomes of cognitive frailty. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Stata 15.0 Software was used to perform the meta‐analysis. The all‐cause mortality and dementia were observed to be the primary outcomes, while the other data were considered as the secondary outcome. Results A total of 14 studies were included in qualitative analysis and 12 studies were included in the meta‐analysis, with low risk of bias and moderate to good methodological quality. The results showed that cognitive frailty in older people had a higher risk of all‐cause mortality [HR = 1.93, 95%CI (1.67, 2.23), p < .001] and dementia [HR = 3.66, 95%CI (2.86, 4.70) as compared with robust. The subgroup analysis showed that the assessment tools were the main source of heterogeneity. Conclusion In older adults living in communities, the cognitive frailty was found to be a significant predictor of all‐cause mortality and dementia. Nonetheless, cognitive frailty was found to be a better predictor of all‐cause mortality and dementia than just frailty.

show abstract

Association of cognitive frailty with subsequent all-cause mortality among middle-aged and older adults in 17 countries

Yuan,

Si,

Shi

et al. 2024

The American Journal of Geriatric Psychiatry

View full text Add to dashboard Cite

Self-Reported Cognitive Frailty Predicts Adverse Health Outcomes for Community-Dwelling Older Adults Based on an Analysis of Sex and Age

Cited by 19 publications

References 63 publications

Subjective and Objective Mental and Physical Functions Affect Subjective Cognitive Decline in Community-Dwelling Elderly Japanese People

Subjective and Objective Mental and Physical Functions Affect Subjective Cognitive Decline in Community-Dwelling Elderly Japanese People

Cognitive frailty as a predictor of adverse outcomes among older adults: A systematic review and meta‐analysis

Association of cognitive frailty with subsequent all-cause mortality among middle-aged and older adults in 17 countries

Contact Info

Product

Resources

About