Determinants of frailty.
OBJECTIVE
To determine which determinants predict frailty and domains of frailty (physical, psychological, social) in a community-dwelling sample of elderly persons.


METHODS
Cross-sectional.


METHODS
Community-based.


METHODS
A representative sample of 484 community-dwelling persons aged 75 years and older.


METHODS
The Tilburg Frailty Indicator (TFI), a self-report questionnaire, was used to collect information about determinants of frailty and to assess frailty and domains of frailty (physical, psychological, social).


RESULTS
Results were obtained by regression and mediation analyses. The 10 determinants explain about 35% of the variance of frailty. After controlling for other determinants, medium income, an unhealthy lifestyle, and multimorbidity predicted frailty. The effects of other determinants differed across domains of frailty; age predicted physical frailty, life events predicted psychological frailty, whereas being a woman predicted social frailty because older women have a higher probability of living alone.


CONCLUSIONS
Our finding that the effect of the determinants of frailty differs across frailty domains suggests that it is essential to divide the concept of frailty into domains.
Department of Tranzo Academic Centre for Transformation in Care and Welfare, Faculty of Behavioural and Social Sciences, Tilburg University, Tilburg, The Netherlands. r.j.j.gobbens@uvt.nl
Robbert J J
RJ
Gobbens
Marcel A L M
MA
van Assen
Katrien G
KG
Luijkx
Maria Th
MT
Wijnen-Sponselee
Jos M G A
JM
Schols
D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D005260:Female; D016330:Frail Elderly / Q000523:psychology / Q000706:statistics & numerical data; D006304:Health Status; D006801:Humans; D008297:Male; D009426:Netherlands; D011795:Surveys and Questionnaires