Evidence map›Paper›PMID 36235601›Full record

ArticleNutrients2022

Geographic Variations in Dietary Patterns and Their Associations with Overweight/Obesity and Hypertension in China: Findings from China Nutrition and Health Surveillance (2015-2017).

Rongping Zhao, Liyun Zhao, Xiang Gao, Fan Yang, Yuxiang Yang, Hongyun Fang, Lahong Ju, Xiaoli Xu, Qiya Guo, Shujuan Li and 4 more

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Rongping ZhaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Liyun ZhaoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xiang GaoDepartment of Nutritional Sciences, The Pennsylvania State University, State College, PA 16802, USA.
Fan YangNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.
Yuxiang YangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0001-5491-4789
Hongyun FangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Lahong JuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xiaoli XuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Qiya GuoNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Shujuan LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xue ChengNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Shuya CaiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Dongmei YuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Gangqiang DingNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.

Funding

Study of Diet and Nutrition Assessment and Intervention Technology from Active Health and Aging Technologic Solutions Major Project of National Key R&D Program No.2020YFC2006300
6 · The paper itself

Abstract

Regional dietetic cultures were indicated in China, but how dietary patterns geographically varied across China is unknown. Few studies systematically investigated the association of dietary patterns with overweight/obesity and hypertension and the potential mechanism with a national sample. This study included 34,040 adults aged 45 years and older from China Nutrition and Health Surveillance (2015−2017), who had complete outcome data, reliable intakes of calorie and cooking oils, unchanged diet habits, and without diagnosed cancer or cardiovascular disease. Outcomes were overweight/obesity and hypertension. By using the Gaussian finite mixture models, four dietary patterns were identified—common rice-based dietary pattern (CRB), prudent diversified dietary pattern (PD), northern wheat-based dietary pattern (NWB), and southern rice-based dietary pattern (SRB). Geographic variations in dietary patterns were depicted by age−sex standardized proportions of each pattern across 31 provinces in China. We assessed the association of these dietary patterns with outcomes and calculated the proportion mediated (PM) by overweight/obesity in the association of the dietary patterns with hypertension. Evident geographic disparities in dietary patterns across 31 provinces were observed. With CRB as reference group and covariates adjusted, the NWB had higher odds of being overweight/obese (odds ratio (OR) = 1.44, 95% confidence interval (CI): 1.36−1.52, p < 0.001) and hypertension (OR = 1.07, 95%CI: 1.01−1.14, p < 0.001, PM = 43.2%), while the SRB and the PD had lower odds of being overweight/obese (ORs = 0.84 and 0.92, 95%CIs: 0.79−0.89 and 0.85−0.99, p < 0.001 for both) and hypertension (ORs = 0.93 and 0.87, 95%CIs: 0.87−0.98 and 0.80−0.94, p = 0.038 for SRB and p < 0.001 for PD, PMs = 27.8% and 9.9%). The highest risk of overweight/obesity in the NWB presented in relatively higher carbohydrate intake (about 60% of energy) and relatively low fat intake (about 20% of energy). The different trends in the association of protein intake with overweight/obesity among dietary patterns were related to differences in animal food sources. In conclusion, the geographic distribution disparities of dietary patterns illustrate the existence of external environment factors and underscore the need for geographic-targeted dietary actions. Optimization of the overall dietary pattern is the key to the management of overweight/obesity and hypertension in China, with the emphasis on reducing low-quality carbohydrate intake, particularly for people with the typical northern diet, and selection of animal foods, particularly for people with the typical southern diet.

Indexed as

HypertensionOverweightCarbohydratesChinaDietElectrolytesFeeding BehaviorHumansObesityOilsCarbohydratesElectrolytesOilsdietdietary intakehypertensionobesityspatial analysis

Identifiers

PMID36235601
PMCPMC9572670

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.