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J Gerontol A Biol Sci Med Sci ; 76(6): 1101-1107, 2021 05 22.
Article in English | MEDLINE | ID: mdl-33075128

ABSTRACT

BACKGROUND: Little is known about the prevalence of frailty in indigenous populations. We developed a frailty index (FI) for older New Zealand Maori and Pasifika who require publicly funded support services. METHODS: An FI was developed for New Zealand adults aged 65 and older who had an interRAI Home Care assessment between June 1, 2012 and October 30, 2015. A frailty score for each participant was calculated by summing the number of deficits recorded and dividing by the total number of possible deficits. This created a FI with a potential range from 0 to 1. Linear regression models for FIs with ethnicity were adjusted for age and sex. Cox proportional hazards models were used to assess the association between the FI and mortality for Maori, Pasifika, and non-Maori/non-Pasifika. RESULTS: Of 54 345 participants, 3096 (5.7%) identified as Maori, 1846 (3.4%) were Pasifika, and 49 415 (86.7%) identified as neither Maori nor Pasifika. New Zealand Europeans (48 178, 97.5%) constituted most of the latter group. Within each sex, the mean FIs for Maori and Pasifika were greater than the mean FIs for non-Maori and non-Pasifika, with the difference being more pronounced in women. The FI was associated with mortality (Maori subhazard ratio [SHR] 2.53, 95% CI 1.63-3.95; Pasifika SHR 6.03, 95% CI 3.06-11.90; non-Maori and non-Pasifika SHR 2.86, 95% CI 2.53-3.25). CONCLUSIONS: This study demonstrated differences in FI between the ethnicities in this select cohort. After adjustment for age and sex, increases in FI were associated with increased mortality. This suggests that FI is predictive of poor outcomes in these ethnic groups.


Subject(s)
Frailty/ethnology , Native Hawaiian or Other Pacific Islander/statistics & numerical data , Age Factors , Aged , Aged, 80 and over , Female , Frailty/epidemiology , Geriatric Assessment , Home Care Services/statistics & numerical data , Humans , Male , Marital Status , New Zealand/epidemiology , Prevalence , Referral and Consultation/statistics & numerical data , Sex Factors , White People/statistics & numerical data
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