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...

Full description

Bibliographic Details
Main Authors: Yongfei Dong, Hongmei Ma, Hao Sun, Yuemei Li, Xiaofang Li, Shiqin Pan, Caixia Li, Songbai Liu, Zaixiang Tang, Lirong Li
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