Healthy ageing in a multi-ethnic population: A descriptive cross-sectional analysis from the HELIUS study

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Marilyne Menassa , Oscar H. Franco , Henrike Galenkamp , Eric P. Moll van Charante , Bert-Jan H. van den Born , Esther M.C. Vriend , Pedro Marques Vidal , Karien Stronks
{"title":"Healthy ageing in a multi-ethnic population: A descriptive cross-sectional analysis from the HELIUS study","authors":"Marilyne Menassa ,&nbsp;Oscar H. Franco ,&nbsp;Henrike Galenkamp ,&nbsp;Eric P. Moll van Charante ,&nbsp;Bert-Jan H. van den Born ,&nbsp;Esther M.C. Vriend ,&nbsp;Pedro Marques Vidal ,&nbsp;Karien Stronks","doi":"10.1016/j.maturitas.2024.107972","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>We investigated ethnic health disparities in the Healthy Life in an Urban Setting multi-ethnic cohort using the multidimensional Healthy Ageing Score.</p></div><div><h3>Study design</h3><p>We conducted a cross-sectional analysis of the study baseline data (2011–2015) collected through questionnaires/physical examinations for 17,091 participants (54.8 % women, mean (SD) age = 44.5 (12.8) years) from South-Asian Surinamese (14.8 %), African Surinamese (20.5 %), Dutch (24.3 %), Moroccan (15.5 %), Turkish (14.9 %), and Ghanaian (10.1 %) origins, living in Amsterdam, the Netherlands.</p></div><div><h3>Main outcome measures</h3><p>We computed the Healthy Ageing Score developed in the Rotterdam Study, which has seven biopsychosocial domains: chronic diseases, mental health, cognitive function, physical function, pain, social support, and quality of life. That score was used to discern between healthy, moderate, and poor ageing. We explored differences in healthy ageing by ethnicity, sex, and age group using multinomial logistic regression.</p></div><div><h3>Results</h3><p>The Healthy Ageing Score [overall: poor (69.0 %), moderate (24.8 %), and healthy (6.2 %)] differed between ethnicities and was poorer in women and after midlife (cut-off 45 years) across ethnicities (all <em>p</em> &lt; 0.001). In the fully adjusted models in men and women, poor ageing (vs. healthy ageing) was highest in the South-Asian Surinamese [adjusted odds ratios (95 % confidence intervals)] [2.96 (2.24–3.90) and 6.88 (3.29–14.40), respectively] and Turkish [2.80 (2.11–3.73) and 7.10 (3.31–15.24), respectively] vs. Dutch, in the oldest [5.89 (3.62–9.60) and 13.17 (1.77–98.01), respectively] vs. youngest, and in the divorced [1.48 (1.10–2.01) and 2.83 (1.39–5.77), respectively] vs. married. Poor ageing was inversely associated with educational and occupational levels, mainly in men.</p></div><div><h3>Conclusions</h3><p>Compared with those of Dutch ethnic origin, ethnic minorities displayed less healthy ageing, which was more pronounced in women, before and after midlife, and was associated with sociodemographic factors.</p></div>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378512224000677/pdfft?md5=27856a4aa18cab5961f58d6e2435c71e&pid=1-s2.0-S0378512224000677-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378512224000677","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Objective

We investigated ethnic health disparities in the Healthy Life in an Urban Setting multi-ethnic cohort using the multidimensional Healthy Ageing Score.

Study design

We conducted a cross-sectional analysis of the study baseline data (2011–2015) collected through questionnaires/physical examinations for 17,091 participants (54.8 % women, mean (SD) age = 44.5 (12.8) years) from South-Asian Surinamese (14.8 %), African Surinamese (20.5 %), Dutch (24.3 %), Moroccan (15.5 %), Turkish (14.9 %), and Ghanaian (10.1 %) origins, living in Amsterdam, the Netherlands.

Main outcome measures

We computed the Healthy Ageing Score developed in the Rotterdam Study, which has seven biopsychosocial domains: chronic diseases, mental health, cognitive function, physical function, pain, social support, and quality of life. That score was used to discern between healthy, moderate, and poor ageing. We explored differences in healthy ageing by ethnicity, sex, and age group using multinomial logistic regression.

Results

The Healthy Ageing Score [overall: poor (69.0 %), moderate (24.8 %), and healthy (6.2 %)] differed between ethnicities and was poorer in women and after midlife (cut-off 45 years) across ethnicities (all p < 0.001). In the fully adjusted models in men and women, poor ageing (vs. healthy ageing) was highest in the South-Asian Surinamese [adjusted odds ratios (95 % confidence intervals)] [2.96 (2.24–3.90) and 6.88 (3.29–14.40), respectively] and Turkish [2.80 (2.11–3.73) and 7.10 (3.31–15.24), respectively] vs. Dutch, in the oldest [5.89 (3.62–9.60) and 13.17 (1.77–98.01), respectively] vs. youngest, and in the divorced [1.48 (1.10–2.01) and 2.83 (1.39–5.77), respectively] vs. married. Poor ageing was inversely associated with educational and occupational levels, mainly in men.

Conclusions

Compared with those of Dutch ethnic origin, ethnic minorities displayed less healthy ageing, which was more pronounced in women, before and after midlife, and was associated with sociodemographic factors.

多种族人口中的健康老龄化:HELIUS 研究的横断面描述性分析
研究设计我们对通过问卷调查/体检收集到的研究基线数据(2011-2015 年)进行了横断面分析,这些数据来自 17 091 名参与者(54.8% 为女性,平均(标清)年龄 = 44.5 (12.8) 岁),其中包括南亚裔苏里南人(14.我们计算了鹿特丹研究中开发的健康老龄化评分,该评分包含七个生物心理社会领域:慢性疾病、心理健康、认知功能、身体功能、疼痛、社会支持和生活质量。该评分用于区分健康老龄化、中度老龄化和贫困老龄化。结果不同种族的健康老龄化得分[总体:差(69.0%)、中(24.8%)和健康(6.2%)]存在差异,不同种族的女性和中年以后(截止年龄 45 岁)的健康老龄化得分较差(所有 p 均为 0.001)。在男性和女性的完全调整模型中,南亚苏里南人[调整后的几率比(95 % 置信区间)][分别为 2.96 (2.24-3.90) 和 6.88 (3.29-14.40)]和土耳其人[2.在年龄最大[分别为 5.89(3.62-9.60)和 13.17(1.77-98.01)]与年龄最小[分别为 5.89(3.62-9.60)和 13.17(1.77-98.01)]之间,以及在离婚[分别为 1.48(1.10-2.01)和 2.83(1.39-5.77)]与已婚[分别为 1.48(1.10-2.01)和 2.83(1.39-5.77)]之间。结论与荷兰裔相比,少数族裔的健康老龄化程度较低,这在中年前后的女性中更为明显,并且与社会人口因素有关。
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
CiteScore
7.20
自引率
4.30%
发文量
567
×
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:481959085
Book学术官方微信