ArticlePublic health nutrition2020
Association between dietary patterns and chronic kidney disease in a middle-aged Chinese population.
Article in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Ultra-processed foods and risk of declined renal function: a dose-response meta-analysis of 786,216 participants.Journal of health, population, and nutrition · 2025Pooled it
- Exploring the traditional Chinese diet and its association with health status-a systematic review.Nutrition reviews · 2025Pooled it
- Identification of Chinese dietary patterns and their relationships with health outcomes: a systematic review and meta-analysis.Public health nutrition · 2024Pooled it
- Dietary patterns and chronic kidney disease risk: a systematic review and updated meta-analysis of observational studies.Nutrition journal · 2021Pooled it
- DASH diet, Reduced Rank Regression Dietary Patterns and relations with kidney function in the CHRIS general population study.BMC nephrology · 2026Article
- Counting the invisible: dietary inorganic phosphorus intake across different chronic kidney disease stages in elderly patients-a national insight.Journal of health, population, and nutrition · 2025Article
- Prevalence and determinants of comorbidities among patients with type 2 diabetes mellitus in Nepal: a cross-sectional study.BMC endocrine disorders · 2025Article
- Dietary Risk Factors and Associated Disease Burden Among Chinese Adults Aged 25 Years and Older: Systematic Analysis of the Global Burden of Disease Study 2021.JMIR public health and surveillance · 2025Observational
- Association between the ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) and chronic kidney disease risk: a large-scale cross-sectional study in a Chinese population.Frontiers in medicine · 2025Article
- Analysis of impaired kidney function in the community around the Morosi nickel mines.Journal of public health in Africa · 2023Article
- Genetics of diabetes-associated microvascular complications.Diabetologia · 2023Review
- The association of dietary patterns with incident chronic kidney disease and kidney function decline among middle-aged Korean adults: a cohort study.Epidemiology and health · 2023Article
- Health-related patterns and chronic kidney disease in the Brazilian population: National Health Survey, 2019.Frontiers in public health · 2023Article
- Prospective associations between a priori dietary patterns adherence and kidney function in an elderly Mediterranean population at high cardiovascular risk.European journal of nutrition · 2022Article
- Article
- Hepatic Steatosis Index and Chronic Kidney Disease among Middle-Aged Individuals: A Large-Scale Study in Japan.Disease markers · 2021Article
- Association between dietary patterns and prediabetes risk in a middle-aged Chinese population.Nutrition journal · 2020Article
- Dietary Patterns and Risk of Chronic Kidney Disease Among Tehranian Adults with High Blood Pressure.International journal of endocrinology and metabolism · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the relationship between dietary patterns and risk of chronic kidney disease (CKD) in Chinese adults aged 45-59 years.
designDietary data were collected using a semi-quantitative FFQ. Factor analysis was used to identify the major dietary patterns. Logistic regression models were applied to clarify the association between dietary patterns and the risk of CKD.
settingThe present study population was a part of the population-based Nutrition and Health Study performed in the city of Hangzhou, Zhejiang Province, eastern China.
participantsA total of 2437 eligible participants (45-59 years) were enrolled in the present cross-sectional study from June 2015 to December 2016.
resultsThree major dietary patterns were identified: 'traditional southern Chinese', 'Western' and 'grains-vegetables' patterns, collectively accounting for 25·6 % of variance in the diet. After adjustment for potential confounders, participants in the highest quartile of the Western pattern had greater odds for CKD (OR = 1·83, 95 % CI 1·21, 2·81; P < 0·05) than those in the lowest quartile. Compared with the lowest quartile of the grains-vegetables pattern, the highest quartile had lower odds for CKD (OR = 0·84, 95 % CI 0·77, 0·93; P < 0·05). In addition, there was no significant association between the traditional southern Chinese pattern and risk of CKD (P > 0·05).
conclusionsOur results suggest that the Western pattern is associated with an increased risk, whereas the grains-vegetables pattern is associated with a reduced risk for CKD. These findings can guide dietary interventions for the prevention of CKD in a middle-aged Chinese population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.