Association of altitude and frailty in Chinese older adults
Using a cumulative frailty index model
Bibliographic Data
| ID | 22089911 |
|---|---|
| Authors | Yongfei Dong (0009-0003-1290-1156, Soochow University), Hongmei Ma (0000-0002-3646-3694, Qinghai Provincial Peoples Hospital), Hao Sun (0000-0002-4563-5363, Soochow University), Yuemei Li (0000-0002-5936-2415, Qinghai Provincial Peoples Hospital), Xiaofang Li (0000-0002-0604-849X, Qinghai Provincial Peoples Hospital), Shiqin Pan (0000-0002-5634-2865, Qinghai Provincial Peoples Hospital), Caixia Li (0000-0002-8170-432X, Qinghai Provincial Peoples Hospital), Songbai Liu (0000-0002-3920-1032, Suzhou Vocational Health College), Zaixiang Tang (0000-0003-4981-3347, Soochow University, corresponding author), Lirong Li (0000-0001-5129-0122, Suzhou Vocational Health College, corresponding author) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1321580-1321580 |
| Publication date | 2024-03-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1321580 |
| PMID | 38510346 |
| OpenAlex | W4392515755 |
| Language | EN |
| Citations received | 1 |
| References cited | 42 |
Objective: The population is aging exponentially and the resulting frailty is becoming increasingly evident. We aimed to explore the association between altitude and frailty, and to identify associated factors for frailty. Methods: This is a community-based cross-sectional survey. 1,298 participants aged ≥60 years from three different altitudes were included in the study. To quantify frailty, we constructed a frailty index (FI) and a frailty score (FS). The FI was divided into non-frailty, prefrailty, and frailty. The Odds Ratios and confidence intervals (ORs, 95%CIs) were used to evaluate the association between altitude and FI and FS in multivariate ordinal logistic regression and linear regression. Results: for trend <0.001). Multivariate ordinal logistic regression analysis revealed an association between altitude and frailty, OR = 1.91 (95% CI: 1.38-2.64) in mid-high altitude and 2.49 (95% CI:1.40-4.45) in high altitude. The same trend of association was found in the univariate analysis. The FS increased by 1.69 (95% CI: 0.78-2.60) at mid-high altitude and 3.24 (95%CI:1.66-4.81) at high altitude compared to medium altitude. Conclusion: The study indicates that high altitude exposure is an associated factor for frailty in older adults. This association become stronger with higher altitudes. As a result, it is essential to conduct early frailty screening for residents living at high altitudes
Confidence interval · Effects of high altitude on humans · Environmental health · Frailty Index · Logistic regression · Multivariate analysis · Multivariate statistics · Odds · Odds ratio · Population · Statistics · Demography · Frailty in Older Adults · High Altitude and Hypoxia · Mathematics · Medicine · Nutrition and Health in Aging · Gerontology · Internal Medicine
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |