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Hu XF, Zhang R, Chan HM. Identification of Chinese dietary patterns and their relationships with health outcomes: a systematic review and meta-analysis. Public Health Nutr 2024; 27:e209. [PMID: 39397510 DOI: 10.1017/s1368980024001927] [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: 10/15/2024]
Abstract
OBJECTIVE China has been undergoing a rapid nutrition transition in the past few decades. This review aims to characterise commonly reported dietary patterns in Chinese populations and their associations with health outcomes. DESIGN We searched PubMed, Embase and CNKI from inception to June 2020 to identify observational studies reporting dietary patterns or the associations between dietary patterns and health outcomes. Information regarding dietary patterns, their association with health outcomes and other related items was collected. SETTING Chinese population and Chinese immigrants. PARTICIPANTS Not applicable. RESULTS Results from 130 studies with over 900 000 participants were included. Six dietary patterns were identified: traditional whole-grain diet (Traditional WG), traditional non-whole-grain diet (Traditional NWG), plant-based diet (Plant-based), animal food diet (Animal-food), Western energy-dense diet (Western) and other unclassified diets (Unclassified). The Plant-based diet was associated with a reduced risk of CVD and cancer from prospective studies, reduced risk of diabetes, hypertension, cognitive impairment and depressive symptoms from all study designs. The Traditional WG diet was associated with a reduced risk of diabetes and hypertension. Animal-food diet is associated with a range of metabolic diseases, and Western diet was associated with increased risks of obesity and depressive symptoms. CONCLUSION Multiple dietary patterns identified reflect the diversity and transitioning of the Chinese diet. A healthy Chinese diet, comprising both the Traditional WG and Plant-based diets, was associated with reduced risks of specific undesirable health outcomes. Promoting this healthy diet will improve public health among the Chinese populations.
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Affiliation(s)
- Xue Feng Hu
- Chemical and Environmental Toxicology Program, Department of Biology, University of Ottawa, Ottawa, ONK1N 6N5, Canada
| | - Rui Zhang
- Chemical and Environmental Toxicology Program, Department of Biology, University of Ottawa, Ottawa, ONK1N 6N5, Canada
| | - Hing Man Chan
- Chemical and Environmental Toxicology Program, Department of Biology, University of Ottawa, Ottawa, ONK1N 6N5, Canada
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Zhang Y, Sun Q, Yu C, Sun D, Pang Y, Pei P, Du H, Yang L, Chen Y, Yang X, Chen X, Chen J, Chen Z, Li L, Lv J. Associations of traditional cardiovascular risk factors with 15-year blood pressure change and trajectories in Chinese adults: a prospective cohort study. J Hypertens 2024; 42:1340-1349. [PMID: 38525868 PMCID: PMC7616121 DOI: 10.1097/hjh.0000000000003717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/12/2024] [Accepted: 02/13/2024] [Indexed: 03/26/2024]
Abstract
OBJECTIVE How traditional cardiovascular disease (CVD) risk factors are related to long-term blood pressure change (BPC) or trajectories remain unclear. We aimed to examine the independent associations of these factors with 15-year BPC and trajectories in Chinese adults. METHODS We included 15 985 participants who had attended three surveys, including 2004-2008 baseline survey, and 2013-2014 and 2020-2021 resurveys, over 15 years in the China Kadoorie Biobank (CKB). We measured systolic and diastolic blood pressure (SBP and DBP), height, weight, and waist circumference (WC). We asked about the sociodemographic characteristics and lifestyle factors, including smoking, alcohol drinking, intake of fresh vegetables, fruits, and red meat, and physical activity, using a structured questionnaire. We calculated standard deviation (SD), cumulative blood pressure (cumBP), coefficient of variation (CV), and average real variability (ARV) as long-term BPC proxies. We identified blood pressure trajectories using the latent class growth model. RESULTS Most baseline sociodemographic and lifestyle characteristics were associated with cumBP. After adjusting for other characteristics, the cumSBP (mmHg × year) increased by 116.9 [95% confidence interval (CI): 111.0, 122.7] for every 10 years of age. The differences of cumSBP in heavy drinkers of ≥60 g pure alcohol per day and former drinkers were 86.7 (60.7, 112.6) and 48.9 (23.1, 74.8) compared with less than weekly drinkers. The cumSBP in participants who ate red meat less than weekly was 29.4 (12.0, 46.8) higher than those who ate red meat daily. The corresponding differences of cumSBP were 127.8 (120.7, 134.9) and 70.2 (65.0, 75.3) for BMI per 5 kg/m 2 and WC per 10 cm. Most of the findings of other BPC measures by baseline characteristics were similar to the cumBP, but the differences between groups were somewhat weaker. Alcohol drinking was associated with several high-risk trajectories of SBP and DBP. Both BMI and WC were independently associated with all high-risk blood pressure trajectories. CONCLUSIONS Several traditional CVD risk factors were associated with unfavorable long-term BPC or blood pressure trajectories in Chinese adults.
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Affiliation(s)
- Yiqian Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
| | - Qiufen Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Xiaoming Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University
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Hu C. Marine natural products and human immunity: novel biomedical resources for anti-infection of SARS-CoV-2 and related cardiovascular disease. NATURAL PRODUCTS AND BIOPROSPECTING 2024; 14:12. [PMID: 38282092 PMCID: PMC10822835 DOI: 10.1007/s13659-024-00432-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/17/2024] [Indexed: 01/30/2024]
Abstract
Marine natural products (MNPs) and marine organisms include sea urchin, sea squirts or ascidians, sea cucumbers, sea snake, sponge, soft coral, marine algae, and microalgae. As vital biomedical resources for the discovery of marine drugs, bioactive molecules, and agents, these MNPs have bioactive potentials of antioxidant, anti-infection, anti-inflammatory, anticoagulant, anti-diabetic effects, cancer treatment, and improvement of human immunity. This article reviews the role of MNPs on anti-infection of coronavirus, SARS-CoV-2 and its major variants (such as Delta and Omicron) as well as tuberculosis, H. Pylori, and HIV infection, and as promising biomedical resources for infection related cardiovascular disease (irCVD), diabetes, and cancer. The anti-inflammatory mechanisms of current MNPs against SARS-CoV-2 infection are also discussed. Since the use of other chemical agents for COVID-19 treatment are associated with some adverse effects in cardiovascular system, MNPs have more therapeutic advantages. Herein, it's time to protect this ecosystem for better sustainable development in the new era of ocean economy. As huge, novel and promising biomedical resources for anti-infection of SARS-CoV-2 and irCVD, the novel potential mechanisms of MNPs may be through multiple targets and pathways regulating human immunity and inhibiting inflammation. In conclusion, MNPs are worthy of translational research for further clinical application.
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Affiliation(s)
- Chunsong Hu
- Department of Cardiovascular Medicine, Jiangxi Academy of Medical Science, Nanchang University, Hospital of Nanchang University, No. 461 Bayi Ave, Nanchang, 330006, Jiangxi, China.
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Ivorra L, Cardoso PG, Chan SK, Cruzeiro C, Tagulao K. Quantification of insecticides in commercial seafood sold in East Asian markets: risk assessment for consumers. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:34585-34597. [PMID: 36515882 PMCID: PMC10017608 DOI: 10.1007/s11356-022-24413-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/22/2022] [Indexed: 06/17/2023]
Abstract
The extraction of 21 insecticides and 5 metabolites was performed using an optimized and validated QuEChERS protocol that was further used for the quantification (GC-MS/MS) in several seafood matrices (crustaceans, bivalves, and fish-mudskippers). Seven species, acquired from Hong Kong and Macao wet markets (a region so far poorly monitored), were selected based on their commercial importance in the Indo-Pacific region, market abundance, and affordable price. Among them, mussels from Hong Kong, together with mudskippers from Macao, presented the highest insecticide concentrations (median values of 30.33 and 23.90 ng/g WW, respectively). Residual levels of fenobucarb, DDTs, HCHs, and heptachlors were above the established threshold (10 ng/g WW) for human consumption according to the European and Chinese legislations: for example, in fish-mudskippers, DDTs, fenobucarb, and heptachlors (5-, 20- and tenfold, respectively), and in bivalves, HCHs (fourfold) had higher levels than the threshold. Risk assessment revealed potential human health effects (e.g., neurotoxicity), especially through fish and bivalve consumption (non-carcinogenic risk; ΣHQLT > 1), and a potential concern of lifetime cancer risk development through the consumption of fish, bivalves, and crustaceans collected from these markets (carcinogenic risk; ΣTCR > 10-4). Since these results indicate polluted regions, where the seafood is collected/produced, a strict monitoring framework should be implemented in those areas to improve food quality and safety of seafood products.
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Affiliation(s)
- Lucia Ivorra
- Institute of Science and Environment, ISE—University of Saint Joseph, Macao, SAR China
| | - Patricia G. Cardoso
- CIIMAR/CIMAR—Interdisciplinary Centre for Marine and Environmental Research, University of Porto, Matosinhos, Portugal
| | - Shek Kiu Chan
- Institute of Science and Environment, ISE—University of Saint Joseph, Macao, SAR China
| | - Catarina Cruzeiro
- Helmholtz Zentrum München, German Research Centre for Environmental Health, GmbH, Research Unit Comparative Microbiome Analysis, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Karen Tagulao
- Institute of Science and Environment, ISE—University of Saint Joseph, Macao, SAR China
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Zhang D, Xu X, Wu X, Lin Y, Li B, Chen Y, Li X, Shen J, Xiao L, Lu S. Monitoring fluorine levels in tea leaves from major producing areas in China and the relative health risk. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
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A Comparison between Dietary Consumption Status and Healthy Dietary Pattern among Adults Aged 55 and Older in China. Nutrients 2022; 14:nu14132778. [PMID: 35807958 PMCID: PMC9268783 DOI: 10.3390/nu14132778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 06/30/2022] [Accepted: 06/30/2022] [Indexed: 11/17/2022] Open
Abstract
The nutrition and health of middle-aged and elderly people is crucial to the long-term development of a country. The present study aimed to analyze the dietary consumption status in Chinese adults by using baseline and follow-up data from the community-based Cohort Study on Nervous System Diseases between 2018−2020 and selecting those aged 55 and older (n = 23,296). Dividing 65 food items into 17 subgroups on the basis of a valid semi-quantitative food frequency questionnaire, we analyze the consumption amount and consumption rate of foods in relation to wave and sociodemographic factors by employing the Wilcoxon rank sum test, Kruskal−Wallis analysis, the Chi-squared test, and the Cochran−Armitage trend test and evaluate food intake status using the Chinese Dietary Guidelines Recommendations (2022). Compared to 2018, the median daily intake of livestock meat, poultry, and eggs increased in 2020 (p < 0.05), while the median daily intake of wheat, other cereals, tubers, legumes, fruits, and fish and seafood decreased (p < 0.05). The proportion of subjects with excessive intake of grain, livestock and poultry, and eggs was 46.3%, 36.6%, and 26.6%, respectively, while the proportion of subjects with insufficient intake of whole grains and mixed beans, tubers, legumes, dairy products, fruits, vegetables, and fish and seafood were 98.4%, 80.3%, 74.0%, 94.6%, 94.3%, 75.8%, and 86.5%, respectively, and more than 50% of subjects were non-consumers of dairy products, nuts, and whole grains and mixed beans. In conclusion, the problem of unhealthy dietary structure is prominent among adults aged 55 and older in China; insufficient or excessive intakes of various types of foods are common; and excessive consumption of edible oil and salt remains a serious problem.
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Ouyang Y, Tan T, Song X, Huang F, Zhang B, Ding G, Wang H. Dietary Protein Intake Dynamics in Elderly Chinese from 1991 to 2018. Nutrients 2021; 13:nu13113806. [PMID: 34836062 PMCID: PMC8622550 DOI: 10.3390/nu13113806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 01/01/2023] Open
Abstract
Unique rapid urbanization-related changes in China may affect the dietary protein intake of the aging population. We aimed to evaluate trends in dietary protein intake and major food sources of protein and estimate conformity to the dietary reference intakes (DRIs) in the elderly Chinese population. A sample of 10,854 elderly adults aged 60 years or older, drawn from 10 waves of the China Health and Nutrition Survey (CHNS) between 1991 and 2018, was included. Protein intake data were obtained on the basis of 3-day, 24 h dietary recalls. The dietary protein intake among elderly Chinese individuals declined from 63.3 g/day to 57.8 g/day over the 28-year period, with a −0.032 ± 0.0001 g/day change per year (p < 0.05). There was a significant increase in the proportion of subjects with a protein intake level below the estimated averaged requirement (EAR) and a reduction in the proportion of subjects consuming protein above the recommended nutrient intake (RNI) across all population subgroups. Cereals ranked as the major sources of dietary protein, although their contribution to dietary protein gradually decreased as time went on. The contribution from meat steadily rose from 18.2% in 1991 to 28.7% in 2018. The proportion of energy gained from fat increased notably, reaching 34.2% in 2018. The elderly Chinese population experienced a significant reduction in dietary protein intake. Although the transformation of dietary patterns had positive effects on improving protein quality due to increases in animal source food, some elderly Chinese individuals currently face the risk of inadequate dietary protein intake.
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Affiliation(s)
- Yifei Ouyang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
| | - Tingyi Tan
- School of Human Nutrition, McGill University, Montreal, QC H9X 3V9, Canada;
| | - Xiaoyun Song
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
| | - Feifei Huang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
| | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (Y.O.); (X.S.); (F.H.); (B.Z.); (G.D.)
- Correspondence: ; Tel.: +86-10-6623-7089
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8
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Naylor RL, Kishore A, Sumaila UR, Issifu I, Hunter BP, Belton B, Bush SR, Cao L, Gelcich S, Gephart JA, Golden CD, Jonell M, Koehn JZ, Little DC, Thilsted SH, Tigchelaar M, Crona B. Blue food demand across geographic and temporal scales. Nat Commun 2021; 12:5413. [PMID: 34526495 PMCID: PMC8443621 DOI: 10.1038/s41467-021-25516-4] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 08/09/2021] [Indexed: 11/24/2022] Open
Abstract
Numerous studies have focused on the need to expand production of 'blue foods', defined as aquatic foods captured or cultivated in marine and freshwater systems, to meet rising population- and income-driven demand. Here we analyze the roles of economic, demographic, and geographic factors and preferences in shaping blue food demand, using secondary data from FAO and The World Bank, parameters from published models, and case studies at national to sub-national scales. Our results show a weak cross-sectional relationship between per capita income and consumption globally when using an aggregate fish metric. Disaggregation by fish species group reveals distinct geographic patterns; for example, high consumption of freshwater fish in China and pelagic fish in Ghana and Peru where these fish are widely available, affordable, and traditionally eaten. We project a near doubling of global fish demand by mid-century assuming continued growth in aquaculture production and constant real prices for fish. Our study concludes that nutritional and environmental consequences of rising demand will depend on substitution among fish groups and other animal source foods in national diets.
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Affiliation(s)
| | - Avinash Kishore
- International Food Policy Research Institute (IFPRI), New Delhi, India
| | | | | | | | - Ben Belton
- WorldFish, Bayan Lepas, Malaysia
- Michigan State University, East Lansing, MI, USA
| | - Simon R Bush
- Wageningen University, Wageningen, The Netherlands
| | - Ling Cao
- Shanghai Jiao Tong University, Shanghai, China
| | - Stefan Gelcich
- Pontificia Universidad Católica de Chile, Santiago, Chile
| | | | | | - Malin Jonell
- Beijer Institute of Ecological Economics, The Royal Swedish Academy of Sciences, Stockholm, Sweden
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
- Royal Swedish Academy of Science, Stockholm, Sweden
| | | | | | | | | | - Beatrice Crona
- Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden
- Royal Swedish Academy of Science, Stockholm, Sweden
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Hu X, Jiang H, Wang H, Zhang B, Zhang J, Jia X, Wang L, Wang Z, Ding G. Intraindividual Double Burden of Malnutrition in Chinese Children and Adolescents Aged 6-17 Years: Evidence from the China Health and Nutrition Survey 2015. Nutrients 2021; 13:3097. [PMID: 34578974 PMCID: PMC8469495 DOI: 10.3390/nu13093097] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 08/23/2021] [Accepted: 08/28/2021] [Indexed: 12/17/2022] Open
Abstract
Studies on the intraindividual double burden of malnutrition (DBM) among Chinese children and adolescents were lacking. This study aimed to analyze the prevalence of intraindividual DBM defined as the coexistence of overweight/obesity and dietary micronutrient intake insufficiency and investigate dietary micronutrient intake in Chinese children and adolescents. Using data from the 2015 China Health and Nutrition Survey (CHNS), 1555 children and adolescents aged 6 to 17 years were selected as the subjects. We referred to China Food Composition to calculate the intakes of 11 selected dietary micronutrients from diet data collected by consecutive three days of 24 h recalls combined with household weighing of seasonings. We used the Chinese estimated average requirement (EARs) as a cutoff to define the dietary micronutrients deficiency, and applied the body-mass-index-for-age Z-scores (BAZ) of World Health Organization (WHO) child growth standards to define the category of body weight. Among the subjects in present study, the prevalence of overweight and obesity was 15.43% and 11.06%, respectively, and 26.24% of the subjects had undergone intraindividual DBM. The results suggest that the prevalence of intraindividual DBM and dietary micronutrients deficiency in Chinese children and adolescents is high.
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Affiliation(s)
- Xiao Hu
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Hongru Jiang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Huijun Wang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Bing Zhang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jiguo Zhang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaofang Jia
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Liusen Wang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zhihong Wang
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Gangqiang Ding
- Department of Public Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Trajectories of Dietary Patterns and Their Associations with Overweight/Obesity among Chinese Adults: China Health and Nutrition Survey 1991-2018. Nutrients 2021; 13:nu13082835. [PMID: 34444995 PMCID: PMC8401187 DOI: 10.3390/nu13082835] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/30/2021] [Accepted: 07/31/2021] [Indexed: 12/11/2022] Open
Abstract
It is essential to understand the impact of different dietary pattern trajectories on health over time. Therefore, we aimed to explore the long-term trajectories of dietary patterns among Chinese adults and examine the prospective association between different trajectory groups and the risk of overweight/obesity. The sample was 9299 adults aged 18 years or older from the China Health and Nutrition Survey (CHNS) between 1991 and 2018. We used factor analysis to identify dietary patterns and group-based trajectory modeling to identify dietary pattern trajectories. Three trajectories of a southern pattern and a modern pattern and four trajectories of a meat pattern were identified. Participants who followed the highest initial score and a slight decrease trajectory (OR = 1.63; 95% CI: 1.04, 2.54) of the meat dietary pattern were positively associated with risk of overweight/obesity when compared with the lowest initial score trajectory. The southern dietary pattern and the modern dietary pattern trajectories of participants in Group 2 (OR = 0.64; 95% CI: 0.51, 0.81; OR = 0.76; 95% CI: 0.63, 0.91) and Group 3 (OR = 0.71; 95% CI: 0.54, 0.91; OR = 0.64; 95% CI: 0.44, 0.90) were associated with lower risk of overweight/obesity when compared with Group 1. We observed that dietary pattern trajectories have different associations with overweight/obesity among Chinese adults.
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Wang L, Zhou B, Zhao Z, Yang L, Zhang M, Jiang Y, Li Y, Zhou M, Wang L, Huang Z, Zhang X, Zhao L, Yu D, Li C, Ezzati M, Chen Z, Wu J, Ding G, Li X. Body-mass index and obesity in urban and rural China: findings from consecutive nationally representative surveys during 2004-18. Lancet 2021; 398:53-63. [PMID: 34217401 DOI: 10.1016/s0140-6736(21)00798-4] [Citation(s) in RCA: 255] [Impact Index Per Article: 85.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/11/2021] [Accepted: 03/29/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND In China, mean body-mass index (BMI) and obesity in adults have increased steadily since the early 1980s. However, to our knowledge, there has been no reliable assessment of recent trends, nationally, regionally, or in certain population subgroups. To address this evidence gap, we present detailed analyses of relevant data from six consecutive nationally representative health surveys done between 2004 and 2018. We aimed to examine the long-term and recent trends in mean BMI and prevalence of obesity among Chinese adults, with specific emphasis on changes before and after 2010 (when various national non-communicable disease prevention programmes were initiated), assess how these trends might vary by sex, age, urban-rural locality, and socioeconomic status, and estimate the number of people who were obese in 2018 compared with 2004. METHODS We used data from the China Chronic Disease and Risk Factors Surveillance programme, which was established in 2004 with the aim to provide periodic nationwide data on the prevalence of major chronic diseases and the associated behavioural and metabolic risk factors in the general population. Between 2004 and 2018 six nationally representative surveys were done. 776 571 individuals were invited and 746 020 (96·1%) participated, including 33 051 in 2004, 51 050 in 2007, 98 174 in 2010, 189 115 in 2013, 189 754 in 2015, and 184 876 in 2018. After exclusions, 645 223 participants aged 18-69 years remained for the present analyses. The mean BMI and prevalence of obesity (BMI ≥30 kg/m2) were calculated and time trends compared by sex, age, urban-rural locality, geographical region, and socioeconomic status. FINDINGS Standardised mean BMI levels rose from 22·7 kg/m2 (95% CI 22·5-22·9) in 2004 to 24·4 kg/m2 (24·3-24·6) in 2018 and obesity prevalence from 3·1% (2·5-3·7) to 8·1% (7·6-8·7). Between 2010 and 2018, mean BMI rose by 0·09 kg/m2 annually (0·06-0·11), which was half of that reported during 2004-10 (0·17 kg/m2, 95% CI 0·12-0·22). Similarly, the annual increase in obesity prevalence was somewhat smaller after 2010 than before 2010 (6·0% annual relative increase, 95% CI 4·4-7·6 vs 8·7% annual relative increase, 4·9-12·8; p=0·13). Since 2010, the rise in mean BMI and obesity prevalence has slowed down substantially in urban men and women, and moderately in rural men, but continued steadily in rural women. By 2018, mean BMI was higher in rural than urban women (24·3 kg/m2vs 23·9 kg/m2; p=0·0045), but remained lower in rural than urban men (24·5 kg/m2vs 25·1 kg/m2; p=0·0007). Across all six surveys, mean BMI was persistently lower in women with higher levels of education compared with women with lower levels of education, but the inverse was true among men. Overall, an estimated 85 million adults (95% CI 70 million-100 million; 48 million men [95% CI 39 million-57 million] and 37 million women [31 million-43 million]) aged 18-69 years in China were obese in 2018, which was three times as many as in 2004. INTERPRETATION In China, the rise in mean BMI among the adult population appears to have slowed down over the past decade. However, we found divergent trends by sex, geographical area, and socioeconomic status, highlighting the need for a more targeted approach to prevent further increases in obesity in the Chinese general population. FUNDING China National Key Research and Development Program, China National Key Project of Public Health Program, and Youth Scientific Research Foundation of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
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Affiliation(s)
- Limin Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bin Zhou
- MRC Centre for Environment and Health & Abdul Latif Jameel Institute for Disease and Emergency Analytics, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Zhenping Zhao
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Mei Zhang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Jiang
- National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yichong Li
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Maigeng Zhou
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Linhong Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhengjing Huang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao Zhang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chun Li
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Majid Ezzati
- MRC Centre for Environment and Health & Abdul Latif Jameel Institute for Disease and Emergency Analytics, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jing Wu
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Xinhua Li
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China; People's Medical Publishing House, Beijing, China.
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12
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Sun T, Zhang Y, Yin J, Peng X, Zhou L, Huang S, Wen Y, Cao B, Chen L, Li X, Yang W, Tan A, Cheng J, Liu L. Association of Gut Microbiota-Dependent Metabolite Trimethylamine N-Oxide with First Ischemic Stroke. J Atheroscler Thromb 2020; 28:320-328. [PMID: 32641646 PMCID: PMC8147013 DOI: 10.5551/jat.55962] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
AIM We aimed to investigate the relationship of trimethylamine N-oxide (TMAO) concentrations with ischemic stroke in a large-scale case-control study conducted among the hospital-based general population. METHODS We recruited 953 case-control sex- and age-matched pairs, and cases were confined to first acute ischemic stroke in this study. Fasting plasma TMAO was measured using high-performance liquid chromatography-tandem mass spectroscopy. Conditional logistic regression analysis was conducted to calculate odds ratios (OR) for the association of plasma TMAO with ischemic stroke. RESULTS We found that plasma TMAO concentrations in patients with ischemic stroke were significantly higher than that in the control group (median: 2.85 µmol/L vs. 2.33 µmol/L, P<0.001). In multivariable conditional logistic regression models, higher plasma TMAO concentrations were associated with increased odds of ischemic stroke [fully adjusted OR for highest vs. lowest TMAO quartile: 1.81; 95% confidence interval (CI): 1.27, 2.59; P for trend <0.001]. The multivariable-adjusted OR for ischemic stroke per 1 µmol/L increment of plasma TMAO was 1.05 (95% CI: 1.02, 1.08). Additionally, the positive association also persisted in subgroups stratified by age, sex, body mass index, smoking status, alcohol habits, history of diabetes, and history of hypertension. CONCLUSIONS This study suggested a positive association between plasma TMAO and ischemic stroke. Further studies are required to explore the role of plasma TMAO concentrations in predicting stroke risk.
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Affiliation(s)
- Taoping Sun
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Yanwei Zhang
- Shenzhen Center for Disease Control and Prevention
| | - Jiawei Yin
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Xiaobo Peng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Li Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Suli Huang
- Shenzhen Center for Disease Control and Prevention
| | - Ying Wen
- Shenzhen Center for Disease Control and Prevention
| | - Benfeng Cao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Xiaoqin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Wei Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
| | - Aijun Tan
- Zhuhai Center for Disease Control and Prevention
| | | | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology.,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology
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13
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Shi Z, Ganji V. Dietary patterns and cardiovascular disease risk among Chinese adults: a prospective cohort study. Eur J Clin Nutr 2020; 74:1725-1735. [PMID: 32506113 DOI: 10.1038/s41430-020-0668-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 05/14/2020] [Accepted: 05/22/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND OBJECTIVE We aimed to examine the prospective association between dietary patterns and cardiovascular disease (CVD) risk in Chinese adults. METHODS Adults aged ≥20 years in the China Health and Nutrition Survey (open cohort) were followed between 1991 and 2011. Participants may enter the cohort at any wave. Dietary intakes were obtained from a 3-day, 24-h recall combined with household weighing for oil and condiments. CVD was defined as having either myocardial infarction or stroke. Two sets of dietary patterns were derived using reduced rank regression and factor analysis. Iron-related dietary pattern (IDP) was generated using iron intake as a response variable. Multivariable Cox regression was used to analyse the relation between dietary patterns and CVD risk. RESULTS In total, 13,055 adults were followed for a median of 9 years. During 115,368 person years of follow-up, 502 participants developed CVD. Two dietary patterns were derived and labeled as traditional dietary pattern (high intake of rice, pork, fish, poultry, and fresh vegetable but low intake of wheat) and modern dietary pattern (high intake of fruit, soymilk, and fast food). Across the quartiles of intake, the hazard ratio (95% CI) for CVD were 1.0, 0.84 (0.64-1.10), 0.57 (0.42-0.77), and 0.58 (0.42-0.79) for traditional pattern (p for trend <0.001) and 1.0, 1.56 (1.16-2.09), 1.56 (1.13-2.14), and 1.68 (1.16-2.44) (p for trend = 0.118) for modern pattern. IDP was characterised by high intake of fresh vegetable, wheat, legume, beverage, offal, rice, and whole grain. IDP intake was not associated CVD. Comparing extreme quartiles, high rice intake was associated with halved while wheat intake was associated with a doubled risk of CVD. CONCLUSIONS Traditional dietary pattern and rice intake are inversely but modern dietary pattern and wheat is directly associated with CVD risk. IDP is not related to CVD in Chinese adults.
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Affiliation(s)
- Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
| | - Vijay Ganji
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
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14
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Wang Z, Huang Q, Wang L, Jiang H, Wang Y, Wang H, Zhang J, Zhai F, Zhang B. Moderate Intake of Lean Red Meat was Associated with Lower Risk of Elevated Blood Pressure in Chinese Women: Results from the China Health and Nutrition Survey, 1991-2015. Nutrients 2020; 12:nu12051369. [PMID: 32403294 PMCID: PMC7284636 DOI: 10.3390/nu12051369] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 05/02/2020] [Accepted: 05/08/2020] [Indexed: 01/23/2023] Open
Abstract
This study aimed to examine longitudinal associations between fatty and lean, fresh red meat intake and blood pressure (BP) in Chinese adults. The data were from nine waves of the China Health and Nutrition Survey (1991–2015), a longitudinal, open cohort study. The surveys were conducted in 303 urban and rural communities of 15 provinces in China. Collected by consecutive three-day 24-h dietary recalls combined with household weighing for foods or only condiments, the diet exposure of interest was daily red meat intake and its subtypes (fatty versus lean) defined by 10-g fat content per 100 g. The main outcome was systolic blood pressure (SBP), diastolic blood pressure (DBP) and risk of elevated BP defined as having a mean of SBP ≥ 135 mmHg, DBP ≥ 85 mmHg, or taking antihypertensive medication. Three-level mixed-effect regressions showed women had SBP increases of 2.19 mmHg (95% CI: 1.07, 4.46) from a higher intake of total fresh red meat, 2.42 mmHg (95% CI: 1.18, 4.94) from a higher intake of fatty, fresh red meat, as well as 0.48 mmHg (95% CI: 0.26, 0.88) from a higher intake of lean, fresh red meat in the top tertile versus bottom one when adjusted for potential confounders. After adjusting for survey years, women with the highest tertile of lean, fresh red meat intake had a 32% lower risk of elevated BP (OR 0.68, 95%CI:0.48, 0.96) as compared with those with the first tertile (non-consumer). Fatty and lean, fresh red meat intakes were differentially associated with BP among Chinese adults. Further research is required to elicit the potential mechanism on gender-specific differential association of fatty versus lean, fresh red meat with BP.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Bing Zhang
- Correspondence: ; Tel.: +86-10-6623-7008
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15
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Inoue Y, Howard AG, Qin B, Yazawa A, Stickley A, Gordon-Larsen P. The association between family members' migration and cognitive function among people left behind in China. PLoS One 2019; 14:e0222867. [PMID: 31557218 PMCID: PMC6762087 DOI: 10.1371/journal.pone.0222867] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 09/09/2019] [Indexed: 02/06/2023] Open
Abstract
While internal migration is widely occurring in countries across the world and older people are more likely to be left behind by family members who out-migrated to other locations, little attention has been paid to the cognitive health of those people who have been left behind (PLB). Understanding how these demographic patterns relate to older persons' cognitive health may inform efforts to reduce the disease burden due to cognitive decline. Data came from the China Health and Nutrition Survey in 1997, 2000 and 2004. Participants aged 55 to 93 who participated in a cognitive function screening test (score range: 0-31) in two or more waves and provided information on family members' migration (n = 1,267) were included in the analysis. A mixed linear model was used to investigate the association between being left behind by any members who had not resided in the household for at least 6 months at baseline and cognitive function. Approximately 10% of the participants had been left behind by family members who migrated out of their communities. A significant interaction was observed in relation to cognitive function between being left behind and the number of years from the first test. Specifically, there was a less steep decline in cognitive function of PLB compared to people not left behind. This longitudinal study showed that PLB tended to have a higher cognitive function compared to those not left behind due to their relatively stable transition in cognitive function during the study period.
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Affiliation(s)
- Yosuke Inoue
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Annie Green Howard
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Biostatistics, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Bo Qin
- Department of Population Science, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey, United States of America
| | - Aki Yazawa
- Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America
| | - Andrew Stickley
- The Stockholm Center for Health and Social Change (SCOHOST), Södertörn University, Huddinge, Sweden
| | - Penny Gordon-Larsen
- Carolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
- Department of Nutrition, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
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16
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He P, Baiocchi G, Feng K, Hubacek K, Yu Y. Environmental impacts of dietary quality improvement in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 240:518-526. [PMID: 30999146 DOI: 10.1016/j.jenvman.2019.03.106] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 03/19/2019] [Accepted: 03/22/2019] [Indexed: 06/09/2023]
Abstract
Dietary-related risks rank top among all the health risks in many countries. The 2nd United Nations Sustainable Development Goal aims to end hunger, achieve food security and improved nutrition and promote sustainable agriculture. Yet whether improving nutritional quality also benefits the environment is still under-explored, particularly for developing countries. China is an interesting and important case because of its rapidly changing dietary patterns distinct from the western countries studied in the literature, sub-national level heterogeneity, socio-economic characteristics and lifestyles, as well as its considerable population. This paper evaluates greenhouse gas (GHG) emissions, water consumption, and land appropriation resulting from shifting the Chinese population to healthy diets. We quantify the environmental impacts of individual diets using the latest available data of China Health and Nutrition Survey (2011), and compare them with the environmental impacts of suggested healthy dietary patterns in accordance with the 2016 Chinese Dietary Guidelines. If all Chinese would follow healthy diets rather than their current diets revealed in the survey, GHG emissions, water consumption, and land occupation would increase by 7.5% (63.9 Mt CO2e annually), 53.5% (510 billion m3), and 54.2% (1256 billion m2), respectively. Urban and high-income groups have higher diet-related environmental impacts but could achieve less additional environmental impacts when moving to healthier diets. These findings indicate an expense of increased GHG emissions, and consumption of water and land resources in improving health. They also highlight the need to focus on the effects of improved economic conditions and urbanization in reconciling environmental impacts and human nutritional adequacy.
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Affiliation(s)
- Pan He
- Department of Earth System Science, Tsinghua University, Beijing, 100048, China
| | - Giovanni Baiocchi
- Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA.
| | - Kuishuang Feng
- Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA
| | - Klaus Hubacek
- Center for Energy and Environmental Sciences (IVEM), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, 9747 AG, the Netherlands; International Institute for Applied Systems Analysis, Schlossplatz 1 - A-2361 Laxenburg, Austria
| | - Yang Yu
- Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China
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17
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Effects of a comprehensive nutrition education programme to change grade 4 primary-school students' eating behaviours in China. Public Health Nutr 2019; 22:903-911. [PMID: 30616695 PMCID: PMC6521790 DOI: 10.1017/s1368980018003713] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Objective As part of a national initiative to reduce child obesity, a comprehensive school-based nutrition education intervention to change eating behaviours among grade 4 primary-school students was developed, implemented and evaluated. Design The intervention was developed by school staff, with technical assistance from outside health education specialists. The programme included school facility upgrades, school teacher/staff training, curriculum changes and activities for parents. Student scores on nine key eating behaviours were assessed prior to and after the programme. The quality of programme implementation in the schools was monitored by technical assistance teams. Setting Shandong Province (high household income) and Qinghai Province (low household income), China. Three programme schools and three control schools in each province. Participants Students in grade 4 (age 8–9 years). Results There were significant positive changes in self-reported eating behaviour scores from pre- to post-assessment in programme schools. At post-test students in programme schools had significantly higher scores than students in control schools after controlling for other variables. The programme was more effective in the high-income province. Observations by the technical assistance teams suggested the programme was implemented more completely in Shandong. The teams noted the challenges for implementing and evaluating programmes like these. Conclusions This intervention increased healthy eating behaviours among 4th graders in both provinces and had more effect in the more affluent province. Results suggest that a scaled-up initiative using existing school and public health resources could change eating practices in a large population over time. The intervention also provided lessons for implementing and evaluating similar nutrition programmes.
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18
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Wang Z, Siega-Riz AM, Gordon-Larsen P, Cai J, Adair LS, Zhang B, Popkin BM. Diet quality and its association with type 2 diabetes and major cardiometabolic risk factors among adults in China. Nutr Metab Cardiovasc Dis 2018; 28:987-1001. [PMID: 30143408 PMCID: PMC6135658 DOI: 10.1016/j.numecd.2018.06.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 06/12/2018] [Accepted: 06/12/2018] [Indexed: 01/04/2023]
Abstract
AIM We examined the association between diet quality and diabetes and major cardiometabolic risks among adults in China. METHODS AND RESULTS We developed the China Dietary Guideline Index (CDGI) based on the 2007 Chinese dietary guidelines and tailored the Alternate Healthy Eating Index 2010 (which we call the tAHEI) to assess diet quality. Our analysis linked the dietary intake and covariates measured in 2006 with CM risk factors measured in 2009. We used diet data the longitudinal China Health and Nutrition Survey 2006 collected in 3 consecutive 24-h recalls from 4440 adults aged 18 to 65 to calculate both the tAHEI and the CDGI scores. We performed multivariable logistic regressions to analyze the association of each 2006 score with diabetes, abdominal obesity, elevated blood pressure, and lipid-related cardiometabolic risk factors in 2009. After we adjusted for potential confounders, adults in the top quintile compared with the bottom quintile of the tAHEI scores showed 36% lower odds of high low-density lipoprotein cholesterol (LDL-C) (odds ratio [OR] 0.64; 95% confidence interval [CI] 0.46, 0.90] in men and 33% lower odds (OR 0.67; 95% CI 0.49, 0.91) in women, while the CDGI scores showed 35% lower odds of high LDL-C (OR 0.65; 95% CI 0.46, 0.92) in men only. Further, the CDGI scores indicated 55% lower odds of diabetes in the top versus the bottom quintile (OR 0.45; 95% CI 0.23, 0.87) in men only, whereas a null association was observed for the tAHEI scores for both sexes. Both index scores showed null associations with other cardiometabolic risk factors. CONCLUSIONS Chinese diets that scored high on both the CDGI and the tAHEI showed similarly negative associations with high LDL-C risk, whereas only CDGI score was negatively related to diabetes risk in men.
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Affiliation(s)
- Z Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - A M Siega-Riz
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - P Gordon-Larsen
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - J Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - L S Adair
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - B Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - B M Popkin
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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19
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Li P, Zhong C, Li S, Sun T, Huang H, Chen X, Zhu Y, Hu X, Peng X, Zhang X, Bao W, Shan Z, Cheng J, Hu FB, Yang N, Liu L. Plasma concentration of trimethylamine-N-oxide and risk of gestational diabetes mellitus. Am J Clin Nutr 2018; 108:603-610. [PMID: 30535087 PMCID: PMC6924263 DOI: 10.1093/ajcn/nqy116] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 05/07/2018] [Indexed: 12/31/2022] Open
Abstract
Background The microbiota-dependent metabolite trimethylamine-N-oxide (TMAO) has been reported as a novel and independent risk factor for the development of cardiovascular and metabolic diseases, but the association with gestational diabetes mellitus (GDM) remains unclear. Objective The aim of this study was to investigate the association between plasma TMAO concentration and GDM in a 2-phase study. Design A 2-phase design was used in the current study. An initial phase included 866 participants (433 GDM cases and 433 matched controls) with fasting blood samples collected at the time of GDM screening (24-32 wk of gestation). An independent-phase study, with 276 GDM cases and 552 matched controls who provided fasting blood samples before 20 wk of gestation and who had GDM screened during 24-32 wk of gestation, was nested within a prospective cohort study. These 2 studies were both conducted in Wuhan, China, and the incidence of GDM in the cohort study was 10.8%. Plasma TMAO concentrations were determined by stable isotope dilution liquid chromatography-tandem mass spectrometry. GDM was diagnosed according to the American Diabetes Association criteria by using an oral-glucose-tolerance test. Results In the initial case-control study, the adjusted OR of GDM comparing the highest TMAO quartile with the lowest quartile was 1.94 (95% CI: 1.28, 2.93). Each SD increment of ln-transformed plasma TMAO was associated with 22% (95% CI: 5%, 41%) higher odds of GDM. In the nested case-control study, women in the highest quartile also had increased odds of GDM (adjusted OR: 2.06; 95% CI: 1.28, 3.31) compared with women in the lowest quartile, and the adjusted OR for GDM per SD increment of ln-transformed plasma TMAO was 1.26 (95% CI: 1.08, 1.47). Conclusions Consistent findings from this 2-phase study indicate a positive association between plasma TMAO concentrations and GDM. Future studies are warranted to elucidate the underlying mechanisms. This trial was registered at www.clinicaltrials.gov as NCT03415295.
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Affiliation(s)
- Peiyun Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunrong Zhong
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuzhen Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Taoping Sun
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Huang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yalun Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoli Hu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaobo Peng
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Zhang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Zhilei Shan
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Departments of Nutrition
| | - Jinquan Cheng
- Shenzhen Center for Disease Control and Prevention, Shenzhen, China
| | - Frank B Hu
- Departments of Nutrition,Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Nianhong Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Address correspondence to NY (e-mail: )
| | - Liegang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety,Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China,Address correspondence to LL (e-mail: )
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Cheng M, Wang H, Wang Z, Du W, Ouyang Y, Zhang B. Relationship between dietary factors and the number of altered metabolic syndrome components in Chinese adults: a cross-sectional study using data from the China Health and Nutrition Survey. BMJ Open 2017; 7:e014911. [PMID: 28554922 PMCID: PMC5729973 DOI: 10.1136/bmjopen-2016-014911] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES To study the correlation between dietary factors and the number of altered metabolic syndrome components (MetS) in Chinese adults systematically. SETTING A cross-sectional study using demographic and dietary data of adults aged 18-75 years from the China Health and Nutrition Survey (2009) was conducted in nine provinces in China. PARTICIPANTS There were 6034 eligible subjects (2800 men and 3234 women) in this study. OUTCOMES The primary outcome of this study were diet assessments and the number of altered MetS components. Dietary intake was measured using a combination of a 3-day period with 24-hour and household food inventory; average daily intakes of nutrients were estimated according to the Chinese Food Composition Table. Blood samples were analysed in a national central laboratory and the number of clustering MetS components was calculated by adding the presence of each MetS component. RESULTS After adjusting for covariates, and taking zero MetS as comparison, the high risk factors correlating with increased numbers of altered MetS components in men were higher intake of protein (70.4-73.4 g; Ptrend=0.0004), cholesterol (238.7-266.6 mg; Ptrend=0.004), meat (90.6-105.7 g; Ptrend=0.016), fish/seafood (30.4-42.3 g; Ptrend=0.001), and lower intake of coarse cereals (16.5-12.7 g; Ptrend=0.051), tubers (37.3-32.7 g; Ptrend=0.030), and dietary fibre (11.7-11.5 g; ANCOVA p=0.058). Meanwhile, the high risk factors correlating with the increased number of altered MetS components in women were higher intake of wheat (101.9-112.6 g; Ptrend=0.066) and sodium (3862.3-4005.7 mg, Ptrend=0.032), and lower intake of β-carotene (1578.6-1382.7 µg; Ptrend=0.007), milk, and dairy products (17.8-11.5 g; Ptrend=0.002). CONCLUSIONS Some foods and nutritional factors correlate with an increased number of altered MetS components in Chinese adults. More prospective, multicentre and clinical research work to further examine these associations is underway.
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Affiliation(s)
- Maowei Cheng
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Disease Control and Prevention of Hubei Province, Wuhan, China
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenwen Du
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yifei Ouyang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bing Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
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21
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Do Chinese Children Get Enough Micronutrients? Nutrients 2017; 9:nu9040397. [PMID: 28420205 PMCID: PMC5409736 DOI: 10.3390/nu9040397] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 04/07/2017] [Accepted: 04/12/2017] [Indexed: 12/31/2022] Open
Abstract
The aim of this study was to examine usual daily micronutrient intake of Chinese children based on data from the 2011 China Health and Nutrition Survey. We analyzed data from 4 to 17-year-old participants, who provided dietary data on three consecutive days combined with the household weighing method in 2011. Usual daily intake of each nutrient was estimated using a mixed effects model based on the China Food Composition published in 2009. The means, medians and percentages below Estimated Average Requirements (EAR) were reported for selected micronutrients, including calcium, sodium, potassium, iron, zinc, selenium, vitamin A, thiamine, riboflavin and vitamin C. For sodium and potassium, the means and the distribution of intakes were compared to the Adequate Intake (AI) level. The average usual daily intakes of all micronutrients increase with age, and the intakes of boys were found to be higher than girls in the same age group. The average calcium intake increased from 272 mg/day in 4–6 years to 391 mg/day in 14–17 years, but the percentage of inadequate calcium intake remained very high (>96%). The prevalence of inadequacy of calcium was the highest among the mineral nutrients reported in this study. As the requirements of micronutrients increased with age, the percentage of subjects with inadequate intake increased in the 11–17 years age groups. Among 14–17 years group, the percentages of study participants with dietary intakes of calcium, iron, zinc, selenium, vitamin A, thiamine, riboflavin and vitamin C below the EAR were 96.8%, 18.8%, 37.6%, 72.8%, 36.8%, 91.8%. 85.9% and 75.5%, respectively. Among 11–13 years group, the percentages of study participants with dietary intakes of iron, zinc and vitamin A below the EAR were 23.5%, 41.5%, and 41.6%, respectively. Thus, micronutrient deficiency is a problem in Chinese children. Nutrition education and intervention programs are needed to address these nutritional gaps.
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Wang Z, Gordon-Larsen P, Siega-riz AM, Cai J, Wang H, Adair LS, Popkin BM. Sociodemographic disparity in the diet quality transition among Chinese adults from 1991 to 2011. Eur J Clin Nutr 2017; 71:486-493. [PMID: 27677363 PMCID: PMC5373942 DOI: 10.1038/ejcn.2016.179] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 07/27/2016] [Accepted: 08/17/2016] [Indexed: 01/21/2023]
Abstract
BACKGROUND/OBJECTIVES This study investigates secular trends in diet quality distribution and related socioeconomic disparity from 1991 to 2011 in the Chinese adult population. SUBJECTS/METHODS The analysis uses the 1991-2011 China Health and Nutrition Survey data on 13 853 participants (6876 men and 6977 women) aged 18-65 with 56 319 responses. Dietary assessment was carried out over a 3-day period with 24-h recalls combined with a household food inventory. We tailored Alternative Healthy Eating Index 2010 (named as tAHEI) to measure diet quality and performed quantile regression to investigate shifts in tAHEI scores at different percentiles and used mixed-effect linear regression to examine average diet quality trend and potential sociodemographic disparity. RESULTS The energy-adjusted mean tAHEI scores increased from 36.9 (36.7-37.1) points in 1991 to 50.3 (50.1-50.5) in 2011 for men (P<0.001) and from 35.6 (35.4-35.8) to 46.9 (46.7-47.1) for women (P<0.001). The covariate-adjusted score of polyunsaturated fatty acids increased by 6.8 (6.6, 7.0) and 7.0 (6.9, 7.2), and the score of long-chain (ω-3) fats increased by 5.3 (5.2, 5.4) and 5.3 (5.2, 5.5) in men and women, respectively, whereas the cereal fiber and red meat scores decreased slightly. Increasing tAHEI score occurred across the entire distribution, and diet quality transition varied across sociodemographic groups. CONCLUSIONS Chinese diet quality is far from optimal, with moderate improvement over a 21-year period. Findings suggest that nutritional intervention should give priority to low-income, low-urbanized communities and southern provincial adults with low diet quality in China.
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Affiliation(s)
- Zhihong Wang
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (ZW, AMSR, PG-L, LA and BP)
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (ZW,HW)
| | - Penny Gordon-Larsen
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (ZW, AMSR, PG-L, LA and BP)
| | - Anna Maria Siega-riz
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (ZW, AMSR, PG-L, LA and BP)
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (JC)
| | - Huijun Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (ZW,HW)
| | - Linda S. Adair
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (ZW, AMSR, PG-L, LA and BP)
| | - Barry M. Popkin
- Department of Nutrition, Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA (ZW, AMSR, PG-L, LA and BP)
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23
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Application of predictive models to assess the influence of thyme essential oil on Salmonella Enteritidis behaviour during shelf life of ready-to-eat turkey products. Int J Food Microbiol 2017; 240:40-46. [DOI: 10.1016/j.ijfoodmicro.2016.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 07/25/2016] [Accepted: 08/01/2016] [Indexed: 11/18/2022]
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24
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Changing Diet Quality in China during 2004-2011. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 14:ijerph14010013. [PMID: 28029128 PMCID: PMC5295264 DOI: 10.3390/ijerph14010013] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/18/2016] [Revised: 12/02/2016] [Accepted: 12/20/2016] [Indexed: 12/13/2022]
Abstract
Currently, under- and over-nutrition problems co-exist in China. However, systematic studies on the diet quality of Chinese residents have been scant. This study described the trend in diet quality of Chinese residents over a recent eight-year period and investigated the relevant influential factors. The data of Chinese adults aged 20–59 years was extracted from 2004, 2006, 2009, and 2011 China Health and Nutrition Survey. The China diet quality index (DQI) was employed to assess the diet quality of Chinese adults. The dietary consumption data of each individual was collected using a 24-h dietary recall and weighed food records implemented for three consecutive days. A mixed ordinary least squares regression model was applied to analyze the factors influencing the DQI scores of Chinese residents. Results showed that the diet quality of Chinese residents increased from 2004 to 2006, followed by a decrease in 2009 and 2011. The income, urbanicity index, and southern dummy were positively associated with DQI scores, whereas the size of household and labor intensity were negative predictors of DQI scores. The DQI scores also varied over BMI values. With an increase of the average income level in the future, the diet quality of Chinese residents is estimated to further improve. Moreover, urbanization could also contribute to reaching a more balanced diet.
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25
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Dietary Patterns in Relation to General and Central Obesity among Adults in Southwest China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13111080. [PMID: 27827895 PMCID: PMC5129290 DOI: 10.3390/ijerph13111080] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 10/13/2016] [Accepted: 10/25/2016] [Indexed: 01/21/2023]
Abstract
Dietary patterns represent a broader picture of food consumption, and are better correlated with a variety of health outcomes. However, few studies have been conducted to explore the associations between dietary patterns and obesity in Southwest China. Data from the 2010-2012 National Nutrition Survey in the province of Yunnan, Southwest China, were analyzed (n = 1604, aged 18-80 years). Dietary data were collected using the 24 h dietary recall over three consecutive days. Height, weight, and waist circumference were measured following standard methods. Exploratory factor analysis was used to identify dietary patterns. Logistic regression was used to explore the association between dietary patterns and obesity. Three distinct dietary patterns were identified, which were labeled as traditional, modern, and tuber according to their key components. With potential confounders adjusted, adults in the highest quartile of the modern pattern were at higher risk of general and central obesity (odds ratio (OR) 1.95, 95% confidence interval (CI) 1.15-3.48; OR 2.01, 95% CI 1.37-2.93). In contrast, adults in the highest quartile of the tuber pattern were at lower risk of general and central obesity (OR 0.34, 95% CI 0.15-0.61; OR 0.64, 95% CI 0.43-0.95) but at higher risk of underweight (OR 2.57, 95% CI 1.20-6.45). No significant association was found between the traditional pattern and obesity. Moreover, dietary pattern differences occurred due to the differences in socio-demographic characteristics. In conclusion, the modern dietary pattern was positively, and the tuber pattern negatively, associated with general and central obesity among adults in Southwest China.
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26
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Possas AMM, Posada-Izquierdo GD, Pérez-Rodríguez F, García-Gimeno RM. Modeling the Transfer ofSalmonellaEnteritidis during Slicing of Ready-to-Eat Turkey Products Treated with Thyme Essential Oil. J Food Sci 2016; 81:M2770-M2775. [DOI: 10.1111/1750-3841.13506] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 07/29/2016] [Accepted: 08/25/2016] [Indexed: 11/27/2022]
Affiliation(s)
- Arícia M. M. Possas
- Dept. of Food Science and Technology, Intl. Campus of Excellence in the AgriFood Sector (CeiA3); Univ. of Córdoba; C-1 14014 Córdoba Spain
| | - Guiomar D. Posada-Izquierdo
- Dept. of Food Science and Technology, Intl. Campus of Excellence in the AgriFood Sector (CeiA3); Univ. of Córdoba; C-1 14014 Córdoba Spain
| | - Fernando Pérez-Rodríguez
- Dept. of Food Science and Technology, Intl. Campus of Excellence in the AgriFood Sector (CeiA3); Univ. of Córdoba; C-1 14014 Córdoba Spain
| | - Rosa M. García-Gimeno
- Dept. of Food Science and Technology, Intl. Campus of Excellence in the AgriFood Sector (CeiA3); Univ. of Córdoba; C-1 14014 Córdoba Spain
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27
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Abstract
The objective of the present paper was to review the consumption status of meat and dairy products among Chinese residents. The research topics included production, consumption and health implications of dairy and meat, and the data sources included reports of national surveys, research papers and data from the National Bureau of Statistics of China. The average intake of meat, especially pork, has continued to increase in China. Pork intake increased from 37·1 g/d in 1992 to 64·3 g/d in 2012. There was a much higher margin in rural regions; pork intake of rural residents increased from 25·0 g/d in 1992 to 59·9 g/d in 2012, which resulted in a narrowed gap between urban and rural areas. Although the average intake of dairy products increased from 14·9 g/d in 1992 to 24·7 g/d in 2012, the overall level was still lower. There was a significant difference of dairy consumption between urban and rural residents. The gap of per capita consumption of milk between urban and rural households was 3·5 kg/year in 1990, reached the maximum of 16·9 kg/year in 2003, then decreased to 8·7 kg/year in 2012. In conclusion, the finding of this review sheds light on some problems with food consumption patterns in China. Effective strategies need to be adopted in order to change the consumption patterns. The consumption of milk and replacing pork with poultry or fish or other health foods should be encouraged.
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28
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Yu C, Shi Z, Lv J, Du H, Qi L, Guo Y, Bian Z, Chang L, Tang X, Jiang Q, Mu H, Pan D, Chen J, Chen Z, Li L. Major Dietary Patterns in Relation to General and Central Obesity among Chinese Adults. Nutrients 2015; 7:5834-49. [PMID: 26184308 PMCID: PMC4517030 DOI: 10.3390/nu7075253] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Revised: 07/01/2015] [Accepted: 07/08/2015] [Indexed: 12/21/2022] Open
Abstract
Limited evidence exists for the association between diet pattern and obesity phenotypes among Chinese adults. In the present study, we analyzed the cross-sectional data from 474,192 adults aged 30-79 years from the China Kadoorie Biobank baseline survey. Food consumption was collected by an interviewer-administered questionnaire. Three dietary patterns were extracted by factor analysis combined with cluster analysis. After being adjusted for potential confounders, individuals following a traditional southern dietary pattern had the lowest body mass index (BMI) and waist circumference (WC); the Western/new affluence dietary pattern had the highest BMI; and the traditional northern dietary pattern had the highest WC. Compared to the traditional southern dietary pattern in multivariable adjusted logistic models, individuals following a Western/new affluence dietary pattern had a significantly increased risk of general obesity (prevalence ratio (PR): 1.06, 95% confidence interval (CI): 1.03-1.08) and central obesity (PR: 1.07, 95% CI: 1.06-1.08). The corresponding risks for the traditional northern dietary pattern were 1.05 (1.02-1.09) and 1.17 (1.25-1.18), respectively. In addition, the associations were modified by lifestyle behaviors, and the combined effects with alcohol drinking, tobacco smoking, and physical activity were analyzed. Further prospective studies are needed to elucidate the diet-obesity relationships.
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Affiliation(s)
- Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.
| | - Zumin Shi
- Discipline of Medicine, University of Adelaide, SAHMRI, North Terrace, Adelaide, South Australia 5000, Australia.
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3-7LF, UK.
| | - Lu Qi
- Department of Nutrition, Harvard School of Public Health, 665 Huntington Ave, Boston, MA 02115, USA.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
| | - Yu Guo
- Chinese Academy of Medical Sciences, Fuwai Hospital Xishan Branch Court, Western Feng Cun, Mentougou, Beijing 102308, China.
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Fuwai Hospital Xishan Branch Court, Western Feng Cun, Mentougou, Beijing 102308, China.
| | - Liang Chang
- Henan Center for Disease Control and Prevention, 105 Nongye East Road, Zhengzhou 450016, China.
| | - Xuefeng Tang
- Sichuan Center for Disease Control and Prevention, 6 Zhongxue Road, Chengdu 610041, China.
| | - Qilian Jiang
- Department of Non-communicable Diseases, Liuzhou Center for Disease Control and Prevention, 1-1 Tanzhong West Road, Liuzhou 545007, China.
| | - Huaiyi Mu
- Department of Non-communicable Diseases, Nangang Center for Disease Control and Prevention, 225 Wenchang Street, Haerbin 150040, China.
| | - Dongxia Pan
- Department of Non-communicable Diseases, Tongxiang Center for Disease Control and Prevention, 64 Maodun East, Wutong Town, Tongxiang 314500, China.
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, 37 Guangqu Road, Beijing 100738, China.
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3-7LF, UK.
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.
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