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Int J Behav Nutr Phys Act. 2017 Jul 11;14(1):90. doi: 10.1186/s12966-017-0545-4.
2
Dietary patterns and non-communicable disease risk in Indian adults: secondary analysis of Indian Migration Study data.饮食模式与印度成年人的非传染性疾病风险:印度移民研究数据的二次分析。
Public Health Nutr. 2017 Aug;20(11):1963-1972. doi: 10.1017/S1368980017000416. Epub 2017 Apr 3.
3
Impact of urbanisation and altitude on the incidence of, and risk factors for, hypertension.城市化和海拔对高血压发病率及危险因素的影响。
Heart. 2017 Jun;103(11):827-833. doi: 10.1136/heartjnl-2016-310347. Epub 2017 Jan 23.
4
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Int J Behav Nutr Phys Act. 2017 Jan 7;14(1):3. doi: 10.1186/s12966-016-0459-6.
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Ultra-Processed Food Consumption and the Incidence of Hypertension in a Mediterranean Cohort: The Seguimiento Universidad de Navarra Project.超加工食品消费与地中海队列人群高血压发病率:纳瓦拉大学随访项目
Am J Hypertens. 2017 Apr 1;30(4):358-366. doi: 10.1093/ajh/hpw137.
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Identification of dietary patterns in urban population of Argentina: study on diet-obesity relation in population-based prevalence study.阿根廷城市人口饮食模式的识别:基于人群患病率研究的饮食与肥胖关系研究。
Nutr Res Pract. 2016 Dec;10(6):616-622. doi: 10.4162/nrp.2016.10.6.616. Epub 2016 Sep 26.
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秘鲁饮食模式分析及其与高血压、高体重指数和 2 型糖尿病的横断面和纵向关联。

Analysis of dietary patterns and cross-sectional and longitudinal associations with hypertension, high BMI and type 2 diabetes in Peru.

机构信息

Department of Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK.

CRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.

出版信息

Public Health Nutr. 2020 Apr;23(6):1009-1019. doi: 10.1017/S1368980019002313. Epub 2019 Aug 28.

DOI:10.1017/S1368980019002313
PMID:31456536
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7613217/
Abstract

OBJECTIVE

To determine if specific dietary patterns are associated with risk of hypertension, type 2 diabetes mellitus (T2DM) and high BMI in four sites in Peru.

DESIGN

We analysed dietary patterns from a cohort of Peruvian adults in four geographical settings using latent class analysis. Associations with prevalence and incidence of hypertension, T2DM and high BMI were assessed using Poisson regression and generalised linear models, adjusted for potential confounders.

SETTING

Four sites in Peru varying in degree of urbanisation.

PARTICIPANTS

Adults aged ≥35 years (n 3280).

RESULTS

We identified four distinct dietary patterns corresponding to different stages of the Peruvian nutrition transition, reflected by the foods frequently consumed in each pattern. Participants consuming the 'stage 3' diet, characterised by high proportional consumption of processed foods, animal products and low consumption of vegetables, mostly consumed in the semi-urban setting, showed the highest prevalence of all health outcomes (hypertension 32·1 %; T2DM 10·7 %; high BMI 75·1 %). Those with a more traditional 'stage 1' diet characterised by potato and vegetables, mostly consumed in the rural setting, had lower prevalence of hypertension (prevalence ratio; 95 CI: 0·57; 0·43, 0·75), T2DM (0·36; 0·16, 0·86) and high BMI (0·55; 0·48, 0·63) compared with the 'stage 3' diet. Incidence of hypertension was highest among individuals consuming the 'stage 3' diet (63·75 per 1000 person-years; 95 % CI 52·40, 77·55).

CONCLUSIONS

The study found more traditional diets were associated with a lower prevalence of three common chronic diseases, while prevalence of these diseases was higher with a diet high in processed foods and low in vegetables.

摘要

目的

在秘鲁的四个地区确定特定的饮食模式是否与高血压、2 型糖尿病(T2DM)和高 BMI 风险相关。

设计

我们使用潜在类别分析对来自秘鲁四个地理区域的成年人队列中的饮食模式进行了分析。使用泊松回归和广义线性模型评估了与高血压、T2DM 和高 BMI 的患病率和发病率的相关性,调整了潜在混杂因素。

设置

秘鲁四个不同城市化程度的地区。

参与者

年龄≥35 岁的成年人(n=3280)。

结果

我们确定了四种不同的饮食模式,它们对应于秘鲁营养转型的不同阶段,这反映在每种模式中经常食用的食物上。摄入“第 3 阶段”饮食的参与者,其特点是加工食品、动物产品的比例高,蔬菜摄入低,这种饮食主要在半城市环境中消费,显示出所有健康结果的最高患病率(高血压 32.1%;T2DM 10.7%;高 BMI 75.1%)。那些饮食更传统的“第 1 阶段”饮食,以土豆和蔬菜为特色,主要在农村地区消费,高血压的患病率较低(优势比;95%CI:0.57;0.43,0.75),T2DM(0.36;0.16,0.86)和高 BMI(0.55;0.48,0.63)与“第 3 阶段”饮食相比。在摄入“第 3 阶段”饮食的个体中,高血压的发病率最高(每 1000 人年 63.75 例;95%CI 52.40,77.55)。

结论

该研究发现,更传统的饮食与三种常见慢性疾病的较低患病率相关,而高加工食品和低蔬菜饮食与这些疾病的患病率较高相关。