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Wen Y, Zhang L, Li S, Wang T, Jiang K, Zhao L, Zhu Y, Zhao W, Lei X, Sharma M, Zhao Y, Shi Z, Yuan J. Effect of dietary selenium intake on CVD: a retrospective cohort study based on China Health and Nutrition Survey (CHNS) data. Public Health Nutr 2024; 27:e122. [PMID: 38533778 DOI: 10.1017/s1368980024000703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
OBJECTIVE We aimed to examine the association between dietary Se intake and CVD risk in Chinese adults. DESIGN This prospective cohort study included adults above 20 years old in the China Health and Nutrition Survey (CHNS), and they were followed up from 1997 to 2015 (n 16 030). Dietary data were retrieved from CHNS, and a 3-d, 24-h recall of food intake was used to assess the cumulative average intake of dietary Se, which was divided into quartiles. The Cox proportional hazards model was adopted to analyse the association between dietary Se intake and incident CVD risk. SETTING CHNS (1991, 1993, 1997, 2000, 2004, 2006, 2009, 2011 and 2015). RESULTS A total of 663 respondents developed CVD after being followed up for a mean of 9·9 years (median 9 years). The incidence of CVD was 4·3, 3·7, 4·6 and 4·0 per 1000 person-years across the quartiles of cumulative Se intake. After adjusting all potential factors, no significant associations were found between cumulative Se intake and CVD risk. No interactions were found between Se intake and income, urbanisation, sex, region, weight, hypertension and CVD risk. CONCLUSION We found no association between dietary Se and CVD.
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Affiliation(s)
- Yaqi Wen
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Laixi Zhang
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Shengping Li
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Tiankun Wang
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ke Jiang
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Lingxi Zhao
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Yuzhao Zhu
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Wen Zhao
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Xun Lei
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Manoj Sharma
- Social & Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV, USA
| | - Yong Zhao
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
- The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Child Nutrition and Health, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Jun Yuan
- School of Public Health, Chongqing Medical University, Chongqing, China
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China
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Guo X, Gao J, Meng X, Wang J, Zhang Z, Song Q, Hu K, Sun C, Li Y. Association of Dietary Calcium Intake With Bone Health and Chronic Diseases: Two Prospective Cohort Studies in China. Front Nutr 2022; 8:683918. [PMID: 35004796 PMCID: PMC8740131 DOI: 10.3389/fnut.2021.683918] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 11/29/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Calcium is an essential element in our diet and the most abundant mineral in the body. A high proportion of Chinese residents are not meeting dietary calcium recommendations. The purpose of this study was to investigate the relationship between calcium intake and the health of residents in two longitudinal studies of Chinese residents. Methods: This study used nationally representative data from the Harbin Cohort Study on Diet, Nutrition, and Chronic Non-communicable Disease Study (HDNNCDS) and China Health Nutrition Survey (CHNS), including 6,499 and 8,140 Chinese adults, respectively, who were free of chronic diseases at recruitment, with mean values of 4.2- and 5.3-year follow-up. Cox's proportional-hazards regression was conducted to explore the relationship between dietary calcium intake and the incidence of obesity, type 2 diabetes, hypertension, and cardiovascular disease (CVD) with adjustment for covariates. Results: Calcium intakes were 451.35 ± 203.56 and 484.32 ± 198.61 (mean ± SD) mg/day in HDNNCDS and CHNS. After adjusting the covariates, the relationship between dietary calcium intake and bone mineral density (BMD) was not statistically significant (p = 0.110). In the multivariate-adjusted Cox's proportional-hazards regression model, dietary calcium intakes were inversely associated with obesity incidence in both cohorts (HR [95% CI]: 0.61 [0.48–0.77] and p trend < 0.001 in fixed-effects model); nevertheless, there was no correlation between dietary calcium intake and the risk of type 2 diabetes (p trend = 0.442 and 0.759) and CVD (p trend = 0.826 and 0.072). The relationship between dietary calcium intake and the risk of hypertension in the two cohorts was inconsistent (p trend = 0.012 and 0.559). Additionally, after further adjusting the vegetable intake in the original multivariate model, both cohorts found no association between dietary calcium intake and the risk of developing obesity (p trend = 0.084 and 0.444). Conclusions: Our data suggest that the current calcium intake of Chinese residents was inversely associated with obesity, which may be related to consumption of vegetables. Meanwhile, the current calcium intake does not increase the risk of type 2 diabetes, CVD, and bone health burden. This research suggested that the Chinese current calcium intake level may have met the needs of the body.
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Affiliation(s)
- Xiaoyu Guo
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Jian Gao
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Xing Meng
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Jiemei Wang
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Ziwei Zhang
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Qingrao Song
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Ke Hu
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Changhao Sun
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Ying Li
- National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
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Vieweger A, Döring TF. Assessing health in agriculture--towards a common research framework for soils, plants, animals, humans and ecosystems. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2015; 95:438-446. [PMID: 24777948 DOI: 10.1002/jsfa.6708] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Revised: 04/16/2014] [Accepted: 04/18/2014] [Indexed: 06/03/2023]
Abstract
In agriculture and food systems, health-related research includes a vast diversity of topics. Nutritional, toxicological, pharmacological, epidemiological, behavioural, sociological, economic and political methods are used to study health in the five domains of soils, plants, livestock, humans and ecosystems. An idea developed in the early founding days of organic agriculture stated that the health of all domains is one and indivisible. Here we show that recent research reveals the existence and complex nature of such health links among domains. However, studies of health aspects in agriculture are often separated by disciplinary boundaries. This restrains the understanding of health in agricultural systems. Therefore we explore the opportunities and limitations of bringing perspectives together from the different domains. We review current approaches to define and assess health in agricultural contexts, comparing the state of the art of commonly used approaches and bringing together the presently disconnected debates in soil science, plant science, veterinary science and human medicine. Based on a qualitative literature analysis, we suggest that many health criteria fall into two paradigms: (1) the Growth Paradigm, where terms are primarily oriented towards continued growth; (2) the Boundary Paradigm, where terms focus on maintaining or coming back to a status quo, recognising system boundaries. Scientific health assessments in agricultural and food systems need to be explicit in terms of their position on the continuum between Growth Paradigm and Boundary Paradigm. Finally, we identify areas and concepts for a future direction of health assessment and research in agricultural and food systems.
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Affiliation(s)
- Anja Vieweger
- Organic Research Centre, Elm Farm, Hamstead Marshall, Newbury, Berkshire, RG20 0HR, UK
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