ArticleClinical and experimental nephrology2014
U-shaped association between body mass index and proteinuria in a large Japanese general population sample.
Article in Clinical and experimental nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Analysis of the impact of obesity on the prognosis of IgA nephropathy according to renal function and sex.Clinical and experimental nephrology · 2024Article
- CKD, Brain Atrophy, and White Matter Lesion Volume: The Japan Prospective Studies Collaboration for Aging and Dementia.Kidney medicine · 2023Article
- Article
- U-Shaped Relationship Between Proteinuria and High-Density Lipoprotein Cholesterol: Results of Cross-Sectional and Six Years Cohort Studies (KITCHEN-10).Journal of clinical medicine research · 2022Article
- Cross-sectional associations between central and general adiposity with albuminuria: observations from 400,000 people in UK Biobank.International journal of obesity (2005) · 2020Article
- Orthostatic proteinuria revisited: new clinical impact of the "old" clinical entity?Annals of translational medicine · 2020Article
- Socio-Demographic Factors Affect the Prevalence of Hematuria and Proteinuria Among School Children in Hualien, Taiwan: A Longitudinal Localization-Based Cohort Study.Frontiers in pediatrics · 2020Article
- Anemia as a risk factor for all-cause mortality: obscure synergic effect of chronic kidney disease.Clinical and experimental nephrology · 2018Article
- Body shape index: Sex-specific differences in predictive power for all-cause mortality in the Japanese population.PloS one · 2017Article
- Association between Body Mass Index, Waist Circumference and Prevalence of Microalbuminuria in Korean Adults of Age 30 Years and Older without Diabetes, Hypertension, Renal Failure, or Overt Proteinuria: The 2013 Korean National Health and Nutrition Examination Survey.Korean journal of family medicine · 2016Article
- An association between serum γ-glutamyltransferase and proteinuria in drinkers and non-drinkers: a Japanese nationwide cross-sectional survey.Clinical and experimental nephrology · 2014Article
- Potential Association between Breakfast Skipping and Concomitant Late-Night-Dinner Eating with Metabolic Syndrome and Proteinuria in the Japanese Population.Scientifica · 2014Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is little data on the association between body mass index (BMI) and proteinuria.
methodsThis was a cross-sectional cohort study assessing the association between BMI and proteinuria in a large Japanese population. Using a nationwide health check-up database of 212,251 Japanese aged >20 years with no pre-existing cardiovascular diseases (185,183 men, median age 66 years; 127,068 women, median age 65 years), we examined the association between BMI and proteinuria (≥ 1+ on dipstick).
resultsSubjects were divided into 11 subgroups by BMI grading in 1 kg/m(2) intervals from 18.5-27.5 kg/m(2). A BMI of approximately 22 ± 0.5 kg/m(2) was considered optimal for Japanese; therefore, this subgroup was set as a reference when logistic analysis was applied. Age, waist circumference, height, weight, smoking and drinking habits, use of medications such as antihypertensive, antidiabetic, or antihyperlipidemic, as well as proteinuria, estimated glomerular filtration rate (eGFR), chemistry data, and blood pressure levels were significantly different between subgroups in both genders. The odds ratio for proteinuria showed a U-shape in men and women, even after adjustment for significant covariates such as age, waist circumference, systolic blood pressure, eGFR, fasting plasma glucose, triglyceride, low-density lipoprotein, antihypertensive use, antidiabetic use, antihyperlipidemic use, and lifestyle factors (smoking and drinking). Gender differences were also prominent--a BMI <20.4 kg/m(2) was significantly associated with proteinuria in men compared to a BMI <18.4 kg/m(2) in women. On the other hand, a BMI ≥ 25.5 kg/m(2) was also significantly associated with proteinuria in men compared to a BMI ≥ 22.5 kg/m(2) in women.
conclusionsWe found that BMI levels were associated with proteinuria in a U-shaped manner and showed marked gender differences. Health guidance should not only focus on higher BMI subjects, but also on thin subjects, in terms of the prevention of chronic kidney disease.
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.