Regional and Socioeconomic Disparities in Frailty Across Tasmania: Evidence From Island Study Linking Ageing and Neurodegenerative Disease.

IF 1.8 4区 医学 Q4 GERIATRICS & GERONTOLOGY
Zhexun Lou, Eddy Roccati, Jane E Alty, Michele L Callisaya, James C Vickers, Emily H Gordon, Ruth E Hubbard, David D Ward
{"title":"Regional and Socioeconomic Disparities in Frailty Across Tasmania: Evidence From Island Study Linking Ageing and Neurodegenerative Disease.","authors":"Zhexun Lou, Eddy Roccati, Jane E Alty, Michele L Callisaya, James C Vickers, Emily H Gordon, Ruth E Hubbard, David D Ward","doi":"10.1111/ajag.70144","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Although frailty appears higher in rural and socioeconomically disadvantaged areas, existing evidence often lacks adjustment for possible population confounders. This study examined the independent associations between geographic remoteness and area-level socioeconomic status with frailty.</p><p><strong>Methods: </strong>We constructed a 33-item frailty index using data from 5740 participants of the Island Study Linking Ageing and Neurodegenerative Disease (ISLAND), a web-based longitudinal cohort of adults aged 50 years and over in Tasmania, Australia. After linking participant postcodes to Modified Monash Model remoteness and Index of Relative Socioeconomic Advantage and Disadvantage, we examined frailty distribution and its associations with geographic and sociodemographic factors using descriptive statistics, spatial mapping and multivariable linear regression models.</p><p><strong>Results: </strong>The analytical sample mean age was 69.3 years (SD = 8.0) and most were women (72%). Frailty index scores followed a gamma distribution (mean score = 0.16, SD = 0.09), increased with age and were highest in central and western areas of Tasmania. After adjustment for age, gender, education, retirement and migrant status, frailty index scores were significantly higher in rural towns (β = 0.011 [95% confidence interval, CI = 0.005, 0.016]) and remote communities (β = 0.023 [95% CI = 0.009, 0.038]) than regional centres. Similarly, after full adjustment, compared with areas of the highest socioeconomic advantage, frailty was significantly higher in areas of middle (β = 0.013 [95% CI = 0.007, 0.018]) or low (β = 0.024 [95% CI = 0.018, 0.030]) socioeconomic advantage.</p><p><strong>Conclusions: </strong>The distribution of frailty across Tasmania varied by geographic remoteness and socioeconomic disadvantage. Integrating frailty assessment into regional health planning may support targeted interventions for vulnerable subpopulations, particularly in rural and disadvantaged communities.</p>","PeriodicalId":55431,"journal":{"name":"Australasian Journal on Ageing","volume":"45 1","pages":"e70144"},"PeriodicalIF":1.8000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12972236/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australasian Journal on Ageing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/ajag.70144","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Although frailty appears higher in rural and socioeconomically disadvantaged areas, existing evidence often lacks adjustment for possible population confounders. This study examined the independent associations between geographic remoteness and area-level socioeconomic status with frailty.

Methods: We constructed a 33-item frailty index using data from 5740 participants of the Island Study Linking Ageing and Neurodegenerative Disease (ISLAND), a web-based longitudinal cohort of adults aged 50 years and over in Tasmania, Australia. After linking participant postcodes to Modified Monash Model remoteness and Index of Relative Socioeconomic Advantage and Disadvantage, we examined frailty distribution and its associations with geographic and sociodemographic factors using descriptive statistics, spatial mapping and multivariable linear regression models.

Results: The analytical sample mean age was 69.3 years (SD = 8.0) and most were women (72%). Frailty index scores followed a gamma distribution (mean score = 0.16, SD = 0.09), increased with age and were highest in central and western areas of Tasmania. After adjustment for age, gender, education, retirement and migrant status, frailty index scores were significantly higher in rural towns (β = 0.011 [95% confidence interval, CI = 0.005, 0.016]) and remote communities (β = 0.023 [95% CI = 0.009, 0.038]) than regional centres. Similarly, after full adjustment, compared with areas of the highest socioeconomic advantage, frailty was significantly higher in areas of middle (β = 0.013 [95% CI = 0.007, 0.018]) or low (β = 0.024 [95% CI = 0.018, 0.030]) socioeconomic advantage.

Conclusions: The distribution of frailty across Tasmania varied by geographic remoteness and socioeconomic disadvantage. Integrating frailty assessment into regional health planning may support targeted interventions for vulnerable subpopulations, particularly in rural and disadvantaged communities.

Abstract Image

Abstract Image

Abstract Image

塔斯马尼亚州脆弱的区域和社会经济差异:来自岛屿研究的证据,将衰老和神经退行性疾病联系起来。
目的:尽管脆弱在农村和社会经济条件较差的地区发生率较高,但现有证据往往缺乏对可能的人口混杂因素的调整。本研究考察了地理偏远程度和地区社会经济地位与脆弱性之间的独立关系。方法:我们使用来自5740名参与者的数据构建了一个包含33个项目的脆弱指数,这些参与者来自于连接衰老和神经退行性疾病的岛屿研究(Island),这是一个基于网络的纵向队列,研究对象是澳大利亚塔斯马尼亚州50岁及以上的成年人。在将参与者的邮政编码与修正莫纳什模型的偏远程度和相对社会经济优势和劣势指数联系起来之后,我们使用描述性统计、空间映射和多变量线性回归模型研究了脆弱性分布及其与地理和社会人口因素的关系。结果:分析样本平均年龄为69.3岁(SD = 8.0),以女性居多(72%)。衰弱指数得分遵循伽马分布(平均得分= 0.16,SD = 0.09),随着年龄的增长而增加,在塔斯马尼亚中部和西部地区最高。在调整了年龄、性别、教育程度、退休和移民身份后,农村城镇(β = 0.011[95%可信区间,CI = 0.005, 0.016])和偏远社区(β = 0.023 [95% CI = 0.009, 0.038])的脆弱指数得分显著高于区域中心。同样,经过充分调整后,与最高社会经济优势地区相比,中等(β = 0.013 [95% CI = 0.007, 0.018])或低(β = 0.024 [95% CI = 0.018, 0.030])社会经济优势地区的脆弱性显著更高。结论:塔斯马尼亚州的脆弱性分布因地理位置偏远和社会经济劣势而异。将脆弱性评估纳入区域卫生规划可能有助于针对弱势亚群体,特别是农村和处境不利社区的弱势群体采取有针对性的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Australasian Journal on Ageing
Australasian Journal on Ageing 医学-老年医学
CiteScore
3.10
自引率
6.20%
发文量
114
审稿时长
>12 weeks
期刊介绍: Australasian Journal on Ageing is a peer reviewed journal, which publishes original work in any area of gerontology and geriatric medicine. It welcomes international submissions, particularly from authors in the Asia Pacific region.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书