Association between obesity and glomerular hyperfiltration: the confounding effect of smoking and sodium and protein intakes

Ogna, Adam; Ogna, Valentina Forni; Bochud, Murielle; Guessous, Idris; Paccaud, Fred; Burnier, Michel; Wuerzner, Grégoire

doi:10.1007/s00394-015-0923-0

Cited by 46 publications

(41 citation statements)

References 42 publications

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“…Estimated protein intake also increased across categories in the same proportion as did salt intake. But interestingly, the urine output was exactly the same in the 3 categories of subjects [14] . This illustrates that the daily urine output is independent of the salt and protein intake in a population.…”

Section: U Na and V During Different Sodium Intakes In Chronic Conditmentioning

confidence: 72%

“…Estimated Na and protein intake were calculated based on the 24 h urinary excretion of Na and urea nitrogen respectively. The numerical values presented here are copied from data shown in Tables 1 and 2 of the study of Ogna et al [14]. p values are from a nonparametric test for trend across BMI categories.…”

Section: U Na and V In Different Individuals Consuming An Ad Libitum mentioning

confidence: 99%

“…In the data presented here, as in a number of other studies, urinary Na excretion is assumed to reflect closely Na intake. Subjects and methods [14] will be described only very briefly in each section because this information is available in previous publications. All results shown are based on 24-h urine collections (except for the results of the acute sodium loading).…”

Section: Description Of the Databases Re-analyzed In This Studymentioning

confidence: 99%

“…This data concerns only the group of subjects on the control diet (n = 191; not on the DASH diet) intervention. In a study of a sample of the Swiss population ( n = 1,339), subjects were divided into 3 categories according to their body mass index (lean, overweight, obese) [14] . The results published in this original paper show that the estimated salt intake rose significantly from one category to the next as shown in Table 4 .…”

Section: U Na and V During Different Sodium Intakes In Chronic Conditmentioning

confidence: 99%

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Relationship between Sodium Intake and Water Intake: The False and the True

et al. 2017

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Section: U Na and V During Different Sodium Intakes In Chronic Conditmentioning

confidence: 72%

Section: U Na and V In Different Individuals Consuming An Ad Libitum mentioning

confidence: 99%

Section: Description Of the Databases Re-analyzed In This Studymentioning

confidence: 99%

Section: U Na and V During Different Sodium Intakes In Chronic Conditmentioning

confidence: 99%

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Relationship between Sodium Intake and Water Intake: The False and the True

et al. 2017

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“…Another methodological problem has been that previous epidemiological studies used GFR estimates based on creatinine and cystatin C, rather than GFR measurements [21–25]. Estimated GFR is inaccurate for high-range GFR [28–30] and can be confounded by associations with non-GFR-related factors [31, 32].…”

Section: Introductionmentioning

confidence: 99%

Central obesity associates with renal hyperfiltration in the non-diabetic general population: a cross-sectional study

et al. 2016

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BackgroundObesity is a risk factor for end-stage renal disease. Renal hyperfiltration, defined as an abnormally high glomerular filtration rate (GFR), is a link in the causal chain between diabetes and chronic kidney disease. Whether obesity is associated with hyperfiltration in the non-diabetic general population, remains unresolved due to a lack of consensus regarding the definition of hyperfiltration and the limited precision of high-range GFR estimations with creatinine and/or cystatin C.Methods1555 middle-aged participants without diabetes, renal or cardiovascular disease were enrolled from the general population in the Renal Iohexol Clearance Survey from the 6th Tromsø Study (RENIS-T6) between 2007 and 2009. Obesity was assessed using the body mass index (BMI), waist circumference (WC) and the waist-hip ratio (WHR). GFR was measured by iohexol clearance. Dichotomous variables for hyperfiltration were based on two alternative definitions using unadjusted GFR (mL/min) above the 90th percentile. The 90th percentile was age-, sex- and height-specific in one definition and age-, sex-, height- and weight-specific in the other.ResultsIn multivariable adjusted logistic regression models, only WHR was consistently associated with hyperfiltration based on both definitions. For the definition based on the age-, sex-, height- and weight-specific 90th percentile, the association with the WHR (odds ratios (95 % confidence intervals)) for hyperfiltration was 1.48 (1.08–2.02) per 0.10 WHR increase.ConclusionsCentral obesity is associated with hyperfiltration in the general population. The WHR may serve as a better indicator of the renal effects of obesity than BMI or WC.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-016-0386-4) contains supplementary material, which is available to authorized users.

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Body weight fluctuation is associated with rapid kidney function decline

Joo

Nam

Jhee

et al. 2021

Obesity

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Objective This study aimed to evaluate the effects of body weight fluctuations on kidney function deterioration in a prospective cohort of individuals with normal kidney function. Methods Data were obtained from the Korean Genome and Epidemiology Study. Body weight fluctuations were determined using average successive variability (ASV), which was defined as the average absolute body weight change using repeated measurements for all participants. The decline of the estimated glomerular filtration rate (eGFR) over time was calculated using linear regression analysis of serial eGFR measurements for each patient. Rapid eGFR decline was defined as an average eGFR decline > 3 mL/min/1.73 m2 per year. Results A total of 6,790 participants were analyzed. During a median follow‐up of 11.7 years, rapid eGFR decline was observed in 913 (13.4%) participants. When the participants were categorized into tertiles according to ASV, rapid eGFR decline was more prevalent in the highest ASV tertile group than in the lowest. Analyses using multiple logistic regression models revealed that the risk of rapid eGFR decline was increased in the highest ASV tertile group compared with the lowest (odds ratio: 1.66). Conclusions Body weight fluctuations were significantly associated with an increased risk of rapid kidney function decline in participants with normal kidney function.

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Association between obesity and glomerular hyperfiltration: the confounding effect of smoking and sodium and protein intakes

Cited by 46 publications

References 42 publications

Relationship between Sodium Intake and Water Intake: The False and the True

Relationship between Sodium Intake and Water Intake: The False and the True

Central obesity associates with renal hyperfiltration in the non-diabetic general population: a cross-sectional study

Body weight fluctuation is associated with rapid kidney function decline

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