PMID- 31367731
OWN - NLM
STAT- MEDLINE
DCOM- 20200622
LR  - 20240317
IS  - 1760-4788 (Electronic)
IS  - 1279-7707 (Linking)
VI  - 23
IP  - 7
DP  - 2019
TI  - Self-Reported Cognitive Frailty Predicts Adverse Health Outcomes for 
      Community-Dwelling Older Adults Based on an Analysis of Sex and Age.
PG  - 654-664
LID - 10.1007/s12603-019-1217-7 [doi]
AB  - OBJECTIVES: The present study examined whether the combination of self-reported 
      mobility decline (SR-MD) and cognitive decline (SR-CD) was associated with 
      mortality and new long-term care insurance (LTCI) service certifications based on 
      sex and age. DESIGN: A prospective cohort study. SETTING AND PARTICIPANTS: We 
      analyzed cohort data from a sample of older adult residents in Kami Town, Japan. 
      The response rate was 94.3%, and we followed 5,094 older adults for 3 years. Full 
      analyses were conducted on 5,076 participants. MEASURES: A total of four groups 
      were determined through self-reported responses on the Kihon Checklist for SR-MD 
      (a score of 3 or more on 5 items) and SR-CD (a score of 1 or more on 3 items): 
      non-SR-cognitive frailty, non-SR-MD and SR-CD, SR-MD and non-SR-CD, and 
      SR-cognitive frailty. RESULTS: Main outcomes included mortality (n = 262) or new 
      certifications for LTCI services (n = 708) during the 3-year period. Excluding 
      overlapping, this included 845 older adults (16.6%). Among men, prevalence of 
      non-SR-cognitive frailty, non-SR-MD and SR-CD, SR-MD and non-SR-CD, and 
      SR-cognitive frailty (SR-MD and SR-CD) was 48.2%, 26.4%, 11.5%, and 13.8%, 
      respectively. Respective rates for women were 45.7%, 15.5%, 23.1%, and 15.7%. 
      Multivariate analyses revealed that for men, SR-MD and non-SR-CD significantly 
      affected adverse health outcomes, leading to earlier negative outcomes relative 
      to the non-SR-MD and SR-CD group. For women, non-SR-MD and SR-CD and SR-MD and 
      non-SR-CD had similar slopes. CONCLUSIONS: The impact of SR-MD or SR-CD on 
      adverse health outcomes differed as a function of age and sex. Thus, we need to 
      consider preventive approaches according to these specific target group features.
FAU - Okura, M
AU  - Okura M
AD  - Mika Okura, Kyoto University, Kyoto, Kyoto Japan, okura.mika.2e@kyoto-u.ac.jp.
FAU - Ogita, M
AU  - Ogita M
FAU - Arai, H
AU  - Arai H
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - France
TA  - J Nutr Health Aging
JT  - The journal of nutrition, health & aging
JID - 100893366
SB  - IM
MH  - Aged
MH  - Aged, 80 and over
MH  - Checklist
MH  - Cognition/*physiology
MH  - Cohort Studies
MH  - Female
MH  - Frail Elderly/*statistics & numerical data
MH  - Frailty/diagnosis/*mortality
MH  - Humans
MH  - Independent Living
MH  - Insurance, Long-Term Care
MH  - Japan/epidemiology
MH  - Male
MH  - *Mobility Limitation
MH  - Prevalence
MH  - Prospective Studies
MH  - Self Report/*statistics & numerical data
OTO - NOTNLM
OT  - Frailty
OT  - cognitive impairment
OT  - long-term care insurance
OT  - mobility disorders
OT  - mortality
OT  - older adults
COIS- The authors declare no conflicts of interest
EDAT- 2019/08/02 06:00
MHDA- 2020/06/23 06:00
CRDT- 2019/08/02 06:00
PHST- 2019/08/02 06:00 [entrez]
PHST- 2019/08/02 06:00 [pubmed]
PHST- 2020/06/23 06:00 [medline]
AID - S1279-7707(23)01190-9 [pii]
AID - 10.1007/s12603-019-1217-7 [doi]
PST - ppublish
SO  - J Nutr Health Aging. 2019;23(7):654-664. doi: 10.1007/s12603-019-1217-7.