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Association between regional dietary patterns and cardiovascular health status among elderly in China

OBJECTIVES: To evaluate the cardiovascular health (CVH) status of the elderly and analyze the effects of dietary patterns and demographic characteristics on CVH. METHODS: A total of 4299 individuals aged 60 years and above from the China Health and Nutrition Survey in 2018 were selected as the resea...

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Autores principales: Jiao, Yingying, Li, Weiyi, Jia, Xiaofang, Wang, Zhihong, Wang, Huijun, Zhang, Bing, Jiang, Hongru, Ding, Gangqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882597/
https://www.ncbi.nlm.nih.gov/pubmed/36711608
http://dx.doi.org/10.21203/rs.3.rs-2328623/v1
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author Jiao, Yingying
Li, Weiyi
Jia, Xiaofang
Wang, Zhihong
Wang, Huijun
Zhang, Bing
Jiang, Hongru
Ding, Gangqiang
author_facet Jiao, Yingying
Li, Weiyi
Jia, Xiaofang
Wang, Zhihong
Wang, Huijun
Zhang, Bing
Jiang, Hongru
Ding, Gangqiang
author_sort Jiao, Yingying
collection PubMed
description OBJECTIVES: To evaluate the cardiovascular health (CVH) status of the elderly and analyze the effects of dietary patterns and demographic characteristics on CVH. METHODS: A total of 4299 individuals aged 60 years and above from the China Health and Nutrition Survey in 2018 were selected as the research objects. Cluster analysis was used to analyze the dietary patterns. The definition of “Life’s Essential 8” of CVH released by American Heart Association (AHA)in 2022 was used to evaluate CVH status. Finally, multinomial logit model was used to analyze the impact of demographic economic characteristics on CVH. RESULTS: Three dietary patterns were obtained by cluster analysis. In pattern 1, the intake of wheat, other grains, tubers and legumes was higher. Pattern 2 was dominated by high intake of aquatic products, vegetables and fruits; Pattern 3 was dominated by higher intake of rice and livestock meat. The total CVH score was 68.50, and sleep and blood pressure had the highest and lowest scores (85.85 and 37.64). Pattern 1 and Pattern 2 have slightly higher CVH scores. There were 16%–18% of the elderly with high CVH, and there was no significant difference in the distribution of high, moderate and low CVH among the three patterns (p=0.29). More than 50% of the elderly have 3–4 ideal metrics, 0.2% of the elderly have all 8 metrics reached the ideal state only in pattern 1. Multinomial logit analysis showed that the elderly in pattern 2 had 6–8 ideal metrics, which was 1.81 times higher than that in pattern 1; The presence of 6–8 ideal metrics in female was 3.42 times higher than that in male; Those with a college degree and above have 6–8 ideal metrics, which was 1.99 times of those with a primary school degree and below. Compared with 60–69 years, the presence of 6–8 ideal metrics in 70 years and above was 35% lower (OR=0.65,95%=0.49–0.87). The presence of 6–8 ideal metrics in high income group were 31% lower than those in low income group (OR=0.69,95%=0.47–1.00). CONCLUSIONS: The elderly in China were in moderate CVH. Dietary pattern characterized by higher intake of aquatic products, vegetables and fruits were more likely to have more ideal CVH metrics. It is necessary to take targeted intervention measures for the elderly and health factors with low scores to promote the improvement of CVH status.
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spelling pubmed-98825972023-01-28 Association between regional dietary patterns and cardiovascular health status among elderly in China Jiao, Yingying Li, Weiyi Jia, Xiaofang Wang, Zhihong Wang, Huijun Zhang, Bing Jiang, Hongru Ding, Gangqiang Res Sq Article OBJECTIVES: To evaluate the cardiovascular health (CVH) status of the elderly and analyze the effects of dietary patterns and demographic characteristics on CVH. METHODS: A total of 4299 individuals aged 60 years and above from the China Health and Nutrition Survey in 2018 were selected as the research objects. Cluster analysis was used to analyze the dietary patterns. The definition of “Life’s Essential 8” of CVH released by American Heart Association (AHA)in 2022 was used to evaluate CVH status. Finally, multinomial logit model was used to analyze the impact of demographic economic characteristics on CVH. RESULTS: Three dietary patterns were obtained by cluster analysis. In pattern 1, the intake of wheat, other grains, tubers and legumes was higher. Pattern 2 was dominated by high intake of aquatic products, vegetables and fruits; Pattern 3 was dominated by higher intake of rice and livestock meat. The total CVH score was 68.50, and sleep and blood pressure had the highest and lowest scores (85.85 and 37.64). Pattern 1 and Pattern 2 have slightly higher CVH scores. There were 16%–18% of the elderly with high CVH, and there was no significant difference in the distribution of high, moderate and low CVH among the three patterns (p=0.29). More than 50% of the elderly have 3–4 ideal metrics, 0.2% of the elderly have all 8 metrics reached the ideal state only in pattern 1. Multinomial logit analysis showed that the elderly in pattern 2 had 6–8 ideal metrics, which was 1.81 times higher than that in pattern 1; The presence of 6–8 ideal metrics in female was 3.42 times higher than that in male; Those with a college degree and above have 6–8 ideal metrics, which was 1.99 times of those with a primary school degree and below. Compared with 60–69 years, the presence of 6–8 ideal metrics in 70 years and above was 35% lower (OR=0.65,95%=0.49–0.87). The presence of 6–8 ideal metrics in high income group were 31% lower than those in low income group (OR=0.69,95%=0.47–1.00). CONCLUSIONS: The elderly in China were in moderate CVH. Dietary pattern characterized by higher intake of aquatic products, vegetables and fruits were more likely to have more ideal CVH metrics. It is necessary to take targeted intervention measures for the elderly and health factors with low scores to promote the improvement of CVH status. American Journal Experts 2023-01-18 /pmc/articles/PMC9882597/ /pubmed/36711608 http://dx.doi.org/10.21203/rs.3.rs-2328623/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Jiao, Yingying
Li, Weiyi
Jia, Xiaofang
Wang, Zhihong
Wang, Huijun
Zhang, Bing
Jiang, Hongru
Ding, Gangqiang
Association between regional dietary patterns and cardiovascular health status among elderly in China
title Association between regional dietary patterns and cardiovascular health status among elderly in China
title_full Association between regional dietary patterns and cardiovascular health status among elderly in China
title_fullStr Association between regional dietary patterns and cardiovascular health status among elderly in China
title_full_unstemmed Association between regional dietary patterns and cardiovascular health status among elderly in China
title_short Association between regional dietary patterns and cardiovascular health status among elderly in China
title_sort association between regional dietary patterns and cardiovascular health status among elderly in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882597/
https://www.ncbi.nlm.nih.gov/pubmed/36711608
http://dx.doi.org/10.21203/rs.3.rs-2328623/v1
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