Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model
ObjectiveThe 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.MethodsThis is a community-based cross-sectional survey. 1,298 participants aged...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-03-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1321580/full |
_version_ | 1797272576497549312 |
---|---|
author | Yongfei Dong Yongfei Dong Hongmei Ma Hao Sun Yuemei Li Xiaofang Li Shiqin Pan Caixia Li Songbai Liu Zaixiang Tang Lirong Li |
author_facet | Yongfei Dong Yongfei Dong Hongmei Ma Hao Sun Yuemei Li Xiaofang Li Shiqin Pan Caixia Li Songbai Liu Zaixiang Tang Lirong Li |
author_sort | Yongfei Dong |
collection | DOAJ |
description | ObjectiveThe 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.MethodsThis 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.ResultsThere were 560 (53.1%) participants in the prefrailty and 488 (37.6%) in the frailty group. The FS increased with higher altitude (P 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.ConclusionThe 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. |
first_indexed | 2024-03-07T14:30:22Z |
format | Article |
id | doaj.art-bc3061aea2be4ff8bbbe2d695a414855 |
institution | Directory Open Access Journal |
issn | 2296-2565 |
language | English |
last_indexed | 2024-03-07T14:30:22Z |
publishDate | 2024-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Public Health |
spelling | doaj.art-bc3061aea2be4ff8bbbe2d695a4148552024-03-06T05:14:04ZengFrontiers Media S.A.Frontiers in Public Health2296-25652024-03-011210.3389/fpubh.2024.13215801321580Association of altitude and frailty in Chinese older adults: using a cumulative frailty index modelYongfei Dong0Yongfei Dong1Hongmei Ma2Hao Sun3Yuemei Li4Xiaofang Li5Shiqin Pan6Caixia Li7Songbai Liu8Zaixiang Tang9Lirong Li10Department of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, ChinaSchool of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, ChinaDepartment of Neurology, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, ChinaDepartment of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, ChinaDepartment of Nursing Management, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, ChinaDepartment of Nursing Management, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, ChinaDepartment of Intensive Care Unit, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, ChinaDepartment of Emergency, Qinghai Provincial People's Hospital, Xining City, Qinghai Province, ChinaSchool of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, ChinaDepartment of Biostatistics, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, ChinaSchool of Clinical Medicine, Suzhou Vocational Health College, Suzhou City, Jiangsu Province, ChinaObjectiveThe 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.MethodsThis 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.ResultsThere were 560 (53.1%) participants in the prefrailty and 488 (37.6%) in the frailty group. The FS increased with higher altitude (P 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.ConclusionThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2024.1321580/fullfrailtyhigh altitudecommunity residentolder adultscross-sectional survey |
spellingShingle | Yongfei Dong Yongfei Dong Hongmei Ma Hao Sun Yuemei Li Xiaofang Li Shiqin Pan Caixia Li Songbai Liu Zaixiang Tang Lirong Li Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model Frontiers in Public Health frailty high altitude community resident older adults cross-sectional survey |
title | Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model |
title_full | Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model |
title_fullStr | Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model |
title_full_unstemmed | Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model |
title_short | Association of altitude and frailty in Chinese older adults: using a cumulative frailty index model |
title_sort | association of altitude and frailty in chinese older adults using a cumulative frailty index model |
topic | frailty high altitude community resident older adults cross-sectional survey |
url | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1321580/full |
work_keys_str_mv | AT yongfeidong associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT yongfeidong associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT hongmeima associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT haosun associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT yuemeili associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT xiaofangli associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT shiqinpan associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT caixiali associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT songbailiu associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT zaixiangtang associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel AT lirongli associationofaltitudeandfrailtyinchineseolderadultsusingacumulativefrailtyindexmodel |