Cargando…

Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study

Background In Western developed countries, food-based dietary patterns have been associated with the risk of cardiometabolic diseases, but little is known about such associations in less developed ethnic minority regions (LEMRs), where the cardiometabolic disease burden is growing rapidly and food p...

Descripción completa

Detalles Bibliográficos
Autores principales: Xiao, Xiong, Qin, Zixiu, Lv, Xiaoyan, Dai, Yingxue, Ciren, Zhuoga, Yangla, Yangla, Zeng, Peibin, Ma, Yue, Li, Xiang, Wang, Lina, Hu, Yifan, Yang, Fan, Fan, Chaonan, Tang, Dan, Dai, Suyao, Zhang, Ning, Xie, Xiaofen, Yin, Jianzhong, Zhao, Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383007/
https://www.ncbi.nlm.nih.gov/pubmed/34528018
http://dx.doi.org/10.1016/j.lanwpc.2021.100252
_version_ 1783741652183023616
author Xiao, Xiong
Qin, Zixiu
Lv, Xiaoyan
Dai, Yingxue
Ciren, Zhuoga
Yangla, Yangla
Zeng, Peibin
Ma, Yue
Li, Xiang
Wang, Lina
Hu, Yifan
Yang, Fan
Fan, Chaonan
Tang, Dan
Dai, Suyao
Zhang, Ning
Xie, Xiaofen
Yin, Jianzhong
Zhao, Xing
author_facet Xiao, Xiong
Qin, Zixiu
Lv, Xiaoyan
Dai, Yingxue
Ciren, Zhuoga
Yangla, Yangla
Zeng, Peibin
Ma, Yue
Li, Xiang
Wang, Lina
Hu, Yifan
Yang, Fan
Fan, Chaonan
Tang, Dan
Dai, Suyao
Zhang, Ning
Xie, Xiaofen
Yin, Jianzhong
Zhao, Xing
author_sort Xiao, Xiong
collection PubMed
description Background In Western developed countries, food-based dietary patterns have been associated with the risk of cardiometabolic diseases, but little is known about such associations in less developed ethnic minority regions (LEMRs), where the cardiometabolic disease burden is growing rapidly and food patterns differ substantially. Methods Between May 2018 and September 2019, we recruited 99556 participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC) Study. We measured habitual dietary intake with validated food frequency questionnaire (FFQ) and then calculated dietary pattern scores for two of the most studied a priori dietary patterns, i.e., Dietary Approaches to Stop Hypertension (DASH) and alternative Mediterranean (aMED) style diets, and three a posteriori dietary patterns. Four cardiometabolic risks, including hypertension, diabetes, dyslipidaemia and metabolic syndrome (MetS), were newly diagnosed by medical examination and blood tests. We estimated adjusted odds ratios (OR) relating various dietary pattern scores to cardiometabolic risks using marginal structural models under the guidance of directed acyclic graphs. For the above associations, we further calculated the proportion mediated by overweight (PM) using regression-based mediation analysis for better public health implications. Findings The final study sample consisted of 68834 participants. Among them, we newly diagnosed 12803 hypertension, 3527 diabetes, 16342 hyperlipidaemia, and 8198 MetS cases. Overall, all 5 dietary patterns showed considerable associations with risks of hypertension and MetS. Comparing the highest with the lowest quintiles, the DASH score showed the strongest inverse associations with risks of hypertension (OR=0.74, 95% CI:0.70-0.79; PM=10%) and MetS (OR=0.79, 95% CI:0.74-0.85; PM=35%); conversely, scores of the localized a posteriori Yunnan-Guizhou plateau dietary pattern in LEMRs showed the strongest positive associations with risks of hypertension (OR=1.44, 95% CI:1.35-1.52; PM=10%) and MetS (OR=1.35, 95% CI:1.26-1.46; PM=33%), with all P values for trend <0.001. These associations were consistent in various subgroups defined by sex, age, smoking and physical activity, but with magnitudes that differed substantially across different ethnic regions and urbanicity. By investigating the single-component effects of dietary patterns, the dairy intake component contributed a major proportion to the beneficial effects of DASH (41.9% for hypertension and 100.5% for MetS). Interpretation Substantial socioeconomic status and ethnic disparities in diet quality and related cardiometabolic risks were seen in LEMRs, with hypertension being the top diet-related cardiometabolic risk. Our findings support that DASH provides superior dietary guidance compared to aMED for reducing cardiometabolic risks in LEMRs. In particular, the dairy intake encouraged by DASH may produce considerable beneficial effects. Funding This study was funded by the National Key R&D Program of China; full funding sources listed in the acknowledgements.
format Online
Article
Text
id pubmed-8383007
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-83830072021-09-14 Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study Xiao, Xiong Qin, Zixiu Lv, Xiaoyan Dai, Yingxue Ciren, Zhuoga Yangla, Yangla Zeng, Peibin Ma, Yue Li, Xiang Wang, Lina Hu, Yifan Yang, Fan Fan, Chaonan Tang, Dan Dai, Suyao Zhang, Ning Xie, Xiaofen Yin, Jianzhong Zhao, Xing Lancet Reg Health West Pac Research Paper Background In Western developed countries, food-based dietary patterns have been associated with the risk of cardiometabolic diseases, but little is known about such associations in less developed ethnic minority regions (LEMRs), where the cardiometabolic disease burden is growing rapidly and food patterns differ substantially. Methods Between May 2018 and September 2019, we recruited 99556 participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC) Study. We measured habitual dietary intake with validated food frequency questionnaire (FFQ) and then calculated dietary pattern scores for two of the most studied a priori dietary patterns, i.e., Dietary Approaches to Stop Hypertension (DASH) and alternative Mediterranean (aMED) style diets, and three a posteriori dietary patterns. Four cardiometabolic risks, including hypertension, diabetes, dyslipidaemia and metabolic syndrome (MetS), were newly diagnosed by medical examination and blood tests. We estimated adjusted odds ratios (OR) relating various dietary pattern scores to cardiometabolic risks using marginal structural models under the guidance of directed acyclic graphs. For the above associations, we further calculated the proportion mediated by overweight (PM) using regression-based mediation analysis for better public health implications. Findings The final study sample consisted of 68834 participants. Among them, we newly diagnosed 12803 hypertension, 3527 diabetes, 16342 hyperlipidaemia, and 8198 MetS cases. Overall, all 5 dietary patterns showed considerable associations with risks of hypertension and MetS. Comparing the highest with the lowest quintiles, the DASH score showed the strongest inverse associations with risks of hypertension (OR=0.74, 95% CI:0.70-0.79; PM=10%) and MetS (OR=0.79, 95% CI:0.74-0.85; PM=35%); conversely, scores of the localized a posteriori Yunnan-Guizhou plateau dietary pattern in LEMRs showed the strongest positive associations with risks of hypertension (OR=1.44, 95% CI:1.35-1.52; PM=10%) and MetS (OR=1.35, 95% CI:1.26-1.46; PM=33%), with all P values for trend <0.001. These associations were consistent in various subgroups defined by sex, age, smoking and physical activity, but with magnitudes that differed substantially across different ethnic regions and urbanicity. By investigating the single-component effects of dietary patterns, the dairy intake component contributed a major proportion to the beneficial effects of DASH (41.9% for hypertension and 100.5% for MetS). Interpretation Substantial socioeconomic status and ethnic disparities in diet quality and related cardiometabolic risks were seen in LEMRs, with hypertension being the top diet-related cardiometabolic risk. Our findings support that DASH provides superior dietary guidance compared to aMED for reducing cardiometabolic risks in LEMRs. In particular, the dairy intake encouraged by DASH may produce considerable beneficial effects. Funding This study was funded by the National Key R&D Program of China; full funding sources listed in the acknowledgements. Elsevier 2021-08-20 /pmc/articles/PMC8383007/ /pubmed/34528018 http://dx.doi.org/10.1016/j.lanwpc.2021.100252 Text en © 2021 The Author(s). Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Xiao, Xiong
Qin, Zixiu
Lv, Xiaoyan
Dai, Yingxue
Ciren, Zhuoga
Yangla, Yangla
Zeng, Peibin
Ma, Yue
Li, Xiang
Wang, Lina
Hu, Yifan
Yang, Fan
Fan, Chaonan
Tang, Dan
Dai, Suyao
Zhang, Ning
Xie, Xiaofen
Yin, Jianzhong
Zhao, Xing
Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title_full Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title_fullStr Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title_full_unstemmed Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title_short Dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the China Multi-Ethnic Cohort (CMEC) Study
title_sort dietary patterns and cardiometabolic risks in diverse less-developed ethnic minority regions: results from the china multi-ethnic cohort (cmec) study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383007/
https://www.ncbi.nlm.nih.gov/pubmed/34528018
http://dx.doi.org/10.1016/j.lanwpc.2021.100252
work_keys_str_mv AT xiaoxiong dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT qinzixiu dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT lvxiaoyan dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT daiyingxue dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT cirenzhuoga dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT yanglayangla dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT zengpeibin dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT mayue dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT lixiang dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT wanglina dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT huyifan dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT yangfan dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT fanchaonan dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT tangdan dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT daisuyao dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT zhangning dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT xiexiaofen dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT yinjianzhong dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy
AT zhaoxing dietarypatternsandcardiometabolicrisksindiverselessdevelopedethnicminorityregionsresultsfromthechinamultiethniccohortcmecstudy