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Healthy ageing in a multi-ethnic population: A descriptive cross-sectional analysis from the HELIUS study.
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- Author(s): Menassa M;Menassa M;Menassa M;Menassa M; Franco OH; Franco OH; Franco OH; Galenkamp H; Galenkamp H; Moll van Charante EP; Moll van Charante EP; van den Born BH; van den Born BH; Vriend EMC; Vriend EMC; Vidal PM; Vidal PM; Stronks K; Stronks K
- Source:
Maturitas [Maturitas] 2024 Jun; Vol. 184, pp. 107972. Date of Electronic Publication: 2024 Mar 13.- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't- Language:
English - Source:
- Additional Information
- Source: Publisher: Elsevier/North Holland Biomedical Press Country of Publication: Ireland NLM ID: 7807333 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4111 (Electronic) Linking ISSN: 03785122 NLM ISO Abbreviation: Maturitas Subsets: MEDLINE
- Publication Information: Publication: Limerick : Elsevier/North Holland Biomedical Press
Original Publication: Amsterdam, Elsevier/North Holland Biomedical Press. - Subject Terms:
- 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.
Competing Interests: Declaration of competing interest The authors declare that they have no competing interest.
(Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.) - Contributed Indexing: Keywords: Ethnicity; Healthy Ageing Score (HAS); Healthy ageing; The HELIUS study
- Publication Date: Date Created: 20240320 Date Completed: 20240505 Latest Revision: 20240508
- Publication Date: 20240509
- Accession Number: 10.1016/j.maturitas.2024.107972
- Accession Number: 38507885
- Source:
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