Shanshan Chen, Shiyun Hu, Sijie Shen, Jialin Zhang, Xiaohui Xu, Ming Yu, Yu Xia, Qiang Cai, Wei Yu, Anni Lu, Ziqi Mia Li, Rasika Gunarathne, Jun Lu
{"title":"中国35岁及以上高危人群的饮食模式与心血管疾病:一项为期6年的队列研究","authors":"Shanshan Chen, Shiyun Hu, Sijie Shen, Jialin Zhang, Xiaohui Xu, Ming Yu, Yu Xia, Qiang Cai, Wei Yu, Anni Lu, Ziqi Mia Li, Rasika Gunarathne, Jun Lu","doi":"10.1016/j.crfs.2024.100960","DOIUrl":null,"url":null,"abstract":"<p><p>This study aims to investigate the dietary patterns of Chinese individuals aged 35 years and older who are at high risk of cardiovascular disease (CVD) and to explore the correlation between these dietary patterns and the risk of CVD. A total of 28,747 high-risk participants in China PEACE in Zhejiang Province from 2014 to 2019 were included in the analysis Dietary data were obtained using the Food Frequency Questionnaire, and dietary patterns were extracted through factor analysis. Cox regression was used to examine the relationship between the dietary patterns and CVD risk in the high-risk groups. Four dietary patterns were identified. The \"Bean, egg, milk and pickle\" dietary pattern was associated with an increased risk of CVD (HR = 1.29; 95% confidence interval (CI):1.09, 1.54; p<0.05), after adjusting for confounders. In contrast, the \"Seafood and animal meat\", \"Wheat and coarse cereals\", and \"Rice and vegetable\" dietary patterns did not show a significant impact on CVD risk. These findings provide valuable insights for dietary guidance in high-risk groups and have significant implications for the prevention and management of CVD.</p>","PeriodicalId":10939,"journal":{"name":"Current Research in Food Science","volume":"10 ","pages":"100960"},"PeriodicalIF":6.2000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729030/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dietary patterns and cardiovascular diseases among Chinese high-risk population aged 35 years and older: A 6-year cohort study.\",\"authors\":\"Shanshan Chen, Shiyun Hu, Sijie Shen, Jialin Zhang, Xiaohui Xu, Ming Yu, Yu Xia, Qiang Cai, Wei Yu, Anni Lu, Ziqi Mia Li, Rasika Gunarathne, Jun Lu\",\"doi\":\"10.1016/j.crfs.2024.100960\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aims to investigate the dietary patterns of Chinese individuals aged 35 years and older who are at high risk of cardiovascular disease (CVD) and to explore the correlation between these dietary patterns and the risk of CVD. A total of 28,747 high-risk participants in China PEACE in Zhejiang Province from 2014 to 2019 were included in the analysis Dietary data were obtained using the Food Frequency Questionnaire, and dietary patterns were extracted through factor analysis. Cox regression was used to examine the relationship between the dietary patterns and CVD risk in the high-risk groups. Four dietary patterns were identified. The \\\"Bean, egg, milk and pickle\\\" dietary pattern was associated with an increased risk of CVD (HR = 1.29; 95% confidence interval (CI):1.09, 1.54; p<0.05), after adjusting for confounders. In contrast, the \\\"Seafood and animal meat\\\", \\\"Wheat and coarse cereals\\\", and \\\"Rice and vegetable\\\" dietary patterns did not show a significant impact on CVD risk. These findings provide valuable insights for dietary guidance in high-risk groups and have significant implications for the prevention and management of CVD.</p>\",\"PeriodicalId\":10939,\"journal\":{\"name\":\"Current Research in Food Science\",\"volume\":\"10 \",\"pages\":\"100960\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729030/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Research in Food Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1016/j.crfs.2024.100960\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Research in Food Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.crfs.2024.100960","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Dietary patterns and cardiovascular diseases among Chinese high-risk population aged 35 years and older: A 6-year cohort study.
This study aims to investigate the dietary patterns of Chinese individuals aged 35 years and older who are at high risk of cardiovascular disease (CVD) and to explore the correlation between these dietary patterns and the risk of CVD. A total of 28,747 high-risk participants in China PEACE in Zhejiang Province from 2014 to 2019 were included in the analysis Dietary data were obtained using the Food Frequency Questionnaire, and dietary patterns were extracted through factor analysis. Cox regression was used to examine the relationship between the dietary patterns and CVD risk in the high-risk groups. Four dietary patterns were identified. The "Bean, egg, milk and pickle" dietary pattern was associated with an increased risk of CVD (HR = 1.29; 95% confidence interval (CI):1.09, 1.54; p<0.05), after adjusting for confounders. In contrast, the "Seafood and animal meat", "Wheat and coarse cereals", and "Rice and vegetable" dietary patterns did not show a significant impact on CVD risk. These findings provide valuable insights for dietary guidance in high-risk groups and have significant implications for the prevention and management of CVD.
期刊介绍:
Current Research in Food Science is an international peer-reviewed journal dedicated to advancing the breadth of knowledge in the field of food science. It serves as a platform for publishing original research articles and short communications that encompass a wide array of topics, including food chemistry, physics, microbiology, nutrition, nutraceuticals, process and package engineering, materials science, food sustainability, and food security. By covering these diverse areas, the journal aims to provide a comprehensive source of the latest scientific findings and technological advancements that are shaping the future of the food industry. The journal's scope is designed to address the multidisciplinary nature of food science, reflecting its commitment to promoting innovation and ensuring the safety and quality of the food supply.