Changes in the severity and lethality of age-related health deficit accumulation in the USA between 1999 and 2018: a population-based cohort study
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Résumé
BACKGROUND: With an ageing population, the number of people with frailty is increasing. Despite this trend, the extent to which the severity and lethality of frailty have changed over time is not well understood. We aimed to investigate how frailty severity and lethality have changed over an 18-year period in the USA. METHODS: In this population-based observational study, we used data from the National Health and Nutrition Examination Survey (NHANES) to identify community-dwelling individuals (aged ≥20 years) in the USA between 1999 and 2018. We analysed data from a series of ten 2-year, nationally representative, cross-sectional, prospective studies (from 1999-2000 to 2017-18) from the NHANES. Frailty was measured by use of the deficit accumulation approach (ie, a 46-item frailty index). The proportion of individuals categorised as non-frail, or living with very mild frailty, mild frailty, moderate frailty, and severe frailty were compared across cohorts. Random-effects models were used to examine the association between frailty index score and sex, age, and cohort. Mortality status as of Dec 31, 2015, was ascertained by use of National Death Index data, and 5-year mortality was available in the first six cohorts (1999-2010). Cox regression models and Kaplan-Meier curves were used to estimate the association between frailty index scores and mortality. FINDINGS: In total, 49 004 individuals were included in our study. Associations were mainly non-linear (quadratic), with frailty increasing at a faster rate in more recent cohorts. Between 1999 and 2018, the proportion of non-frail individuals decreased by 10·4% (from 2747 [63·8%; 95% CI 61·9-65·6] of 4307 to 2884 [53·4%; 51·3-55·5] of 5399), whereas the proportion of individuals with very mild frailty increased by 2·4% (from 987 [22·9%; 21·3-24·6] to 1365 [25·3%; 23·5-27·2]), by 2·7% (from 370 [8·6%; 7·7-9·6] to 609 [11·3%; 10·1-12·5]) in those with mild frailty, by 3·1% (from 140 [3·3%; 2·7-3·9] to 347 [6·4%; 5·6-7·4]) in those with moderate frailty, and by 2·1% (from 63 [1·5%; 1·1-1·9] to 195 [3·6%; 3·0-4·3]) in those with severe frailty. Being a woman, older, and from a more recent cohort were associated with higher frailty index scores (all p<0·0001). In more recent cohorts, mean frailty index scores increased more quickly with age (p<0·0001), and sex differences in mean frailty index scores decreased (p<0·0001). In men of all ages and in women aged 35 years or older, mean frailty index scores were higher in more recent cohorts, with larger increases in frailty in older age groups. In 28 692 individuals from the first six cohorts (1999-2000 to 2009-10) with linked mortality data, frailty index scores were significantly associated with mortality (hazard ratio 1·053 [95% CI 1·050-1·057] per 0·01 increase in frailty index score). The absence of an interaction between cohort and frailty index score (p=0·58) suggested that the association between frailty and mortality was similar for all cohorts. INTERPRETATION: Increasing frailty levels in more recent cohorts of middle-aged and older adults combined with stable frailty lethality between 1999 and 2018, suggest a challenge to healthy longevity, with the proportion of individuals with a high degree of frailty continuing to increase. FUNDING: Supported in part by the Canadian Institutes of Health Research.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle