Relationship between bmi and glomerular filtration rate in a large cohort initiating a weight loss program: differential contributions of fat mass, fat-free mass, and abdominal fat compartments
Background The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and sub...
Saved in:
| Published in | Nutrition journal Vol. 24; no. 1; p. 78 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
11.05.2025
BioMed Central Ltd BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1475-2891 1475-2891 |
| DOI | 10.1186/s12937-025-01150-4 |
Cover
| Abstract | Background
The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects.
Methods
A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m
2
) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria.
Results
Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m
2
). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women.
Conclusions
Our study highlights the importance of considering body composition and fat distribution when assessing renal function. |
|---|---|
| AbstractList | Background
The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects.
Methods
A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m
2
) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria.
Results
Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m
2
). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women.
Conclusions
Our study highlights the importance of considering body composition and fat distribution when assessing renal function. The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects. A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m ) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria. Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m ). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women. Our study highlights the importance of considering body composition and fat distribution when assessing renal function. BACKGROUND: The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects. METHODS: A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m²) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria. RESULTS: Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m²). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women. CONCLUSIONS: Our study highlights the importance of considering body composition and fat distribution when assessing renal function. The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects. A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m.sup.2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria. Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model ([beta] = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI ([beta] = -1.23, 95% CI: -1.35, -1.12) and FFMI ([beta] = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT ([beta] = -1.83, 95% CI: -2.00, -1.67) and SAT ([beta] = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m.sup.2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women. Our study highlights the importance of considering body composition and fat distribution when assessing renal function. The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects.BACKGROUNDThe relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects.A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria.METHODSA cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria.Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women.RESULTSAmong 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women.Our study highlights the importance of considering body composition and fat distribution when assessing renal function.CONCLUSIONSOur study highlights the importance of considering body composition and fat distribution when assessing renal function. Abstract Background The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects. Methods A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria. Results Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model (β = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI (β = -1.23, 95% CI: -1.35, -1.12) and FFMI (β = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT (β = -1.83, 95% CI: -2.00, -1.67) and SAT (β = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women. Conclusions Our study highlights the importance of considering body composition and fat distribution when assessing renal function. Background The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose tissue distribution. Our objective was to evaluate the synergistic contribution of fat-free mass, fat mass, visceral (VAT) and subcutaneous (SAT) adipose tissue, to glomerular filtration rate (GFR) in a large cohort of subjects. Methods A cross-sectional study of 9704 subjects (72% female, median age 47y, median BMI 28.1 kg/m.sup.2) was carried out. Each patient underwent an anthropometric assessment (weight, height, waist circumference, % of body fat by body skinfolds), an ultrasound measurement of VAT and SAT and blood sampling to measure metabolic syndrome (MS) parameters and serum creatinine. GFR was estimated using the EPI-CKD equation. MS was defined according to the harmonized criteria. Results Among 9,704 subjects, 61.1% had a normal renal function, while 29.3% reported a reduction, from slightly to severely. The BMI was initially negatively associated with GFR in the univariate model ([beta] = -0.32, 95% CI: -0.39, -0.25), but after adjusting for %body fat, the association was lost. We then split the BMI into its two components, Fat Mass Index (FMI) and Fat Free Mass Index (FFMI), and observed that FMI ([beta] = -1.23, 95% CI: -1.35, -1.12) and FFMI ([beta] = 0.79, 95% CI: 0.65, 0.92) were associated with a decrease and an increase in GFR, respectively. VAT ([beta] = -1.83, 95% CI: -2.00, -1.67) and SAT ([beta] = 3.21, 95% CI: 2.86, 3.57) were independently associated with a decrease and an increase in GFR, respectively. Similar results were obtained when studying the association between BMI, body composition, adipose tissue distribution, and the risk of reduced GFR (<90 ml/min/1.73 m.sup.2). Stratification by sex and MS did not substantially alter the results. A significant association between VAT and reduced GFR was observed only in women. Conclusions Our study highlights the importance of considering body composition and fat distribution when assessing renal function. Keywords: Obesity, Chronic kidney disease, BMI, Glomerular filtration rate, Body composition, Visceral and subcutaneous fat, Metabolic syndrome |
| ArticleNumber | 78 |
| Audience | Academic |
| Author | Vignati, Laila Leone, Alessandro Menichetti, Francesca Sileo, Federica De Amicis, Ramona Battezzati, Alberto Bertoli, Simona Foppiani, Andrea |
| Author_xml | – sequence: 1 givenname: Alessandro surname: Leone fullname: Leone, Alessandro email: alessandro.leone1@unimi.it organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine – sequence: 2 givenname: Francesca surname: Menichetti fullname: Menichetti, Francesca organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan – sequence: 3 givenname: Laila surname: Vignati fullname: Vignati, Laila organization: IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine – sequence: 4 givenname: Federica surname: Sileo fullname: Sileo, Federica organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine – sequence: 5 givenname: Ramona surname: De Amicis fullname: De Amicis, Ramona organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases – sequence: 6 givenname: Andrea surname: Foppiani fullname: Foppiani, Andrea organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine – sequence: 7 givenname: Simona surname: Bertoli fullname: Bertoli, Simona organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Obesity Unit and Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases – sequence: 8 givenname: Alberto surname: Battezzati fullname: Battezzati, Alberto organization: International Center for the Assessment of Nutritional Status and the development of Dietary Intervention Strategies (ICANS-DIS), Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, IRCCS Istituto Auxologico Italiano, Clinical Nutrition Unit, Department of Endocrine and Metabolic Medicine |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40350415$$D View this record in MEDLINE/PubMed |
| BookMark | eNqNkstu1DAUhiNURC_wAiyQJTYgkWI7N4cNqioulSohFVhbjnOcceXYg51Q-ni8GSczQ9WREGqyiGN__2_7nP84O_DBQ5Y9Z_SUMVG_TYy3RZNTXuWUsYrm5aPsiJVNlXPRsoN748PsOKVrSrkQbfMkOyxpUdGSVUfZ7ytwarLBp5Vdkw6mGwBPutES5XsyuDBCnJ2KxFg3xQ1J8APEeqIILgxAdFiFOOGMnSwSfsCVG7DDaiIupETWMQxRje9Ib42BCB4xhyo_RdvNm81JMMSoiYwqpTfLKDcRYPe7nER1fRitR92C6TCuVZxGtEpPs8dGuQTPdt-T7PvHD9_OP-eXXz5dnJ9d5rqmFP1abUzXNQqvrnRDq6autIAaVG-KQjSacV71inPd1n2j266kuhIlhZ7R3ghenGQXW98-qGu5jnZU8VYGZeVmIsRB4pGsdiA7ympOleBtJ0plqKqKuqgKqMveaNE06FVsvWa_Vrc3yrk7Q0bl0ly5ba7E5spNc2WJqvdb1XruRug13j4qt3eU_RVvV3IIPyXjtG6EqNHh1c4hhh8zpEmONmlwTnkIc5IFLznmAp8HoJimqsU8Ifpyiw4KL2-9Cbi7XnB5JoqWN7xtlvqd_oPCt4fRYhgAEwb7gtd7giUw8Gsa1JySvPh6tc--uF-au5r8DToCfAvoiJGMYB5W8F2bEsJ-gCivwxwxhOl_qj8R6SH5 |
| Cites_doi | 10.1152/ajprenal.2000.278.5.F817 10.1038/s41581-022-00616-6 10.1002/jcsm.12549 10.1016/S0140-6736(13)60687-X 10.1038/s41574-024-00951-7 10.1001/jama.289.19.2560 10.1111/dme.14153 10.1038/ki.2015.183 10.1002/oby.23512 10.1053/j.ajkd.2008.03.003 10.1186/s12937-015-0120-2 10.1016/S2213-8587(19)30084-1 10.1002/osp4.365 10.7326/0003-4819-150-9-200905050-00006 10.3803/EnM.2020.35.1.1 10.1111/j.1523-1755.2004.00351.x 10.1001/archinte.165.8.923 10.1053/j.ajkd.2021.05.008 10.1093/ndt/gfr757 10.7326/0003-4819-144-1-200601030-00006 10.1080/07315724.2018.1463184 10.1111/eci.13646 10.1016/j.clnu.2014.02.001 10.1210/clinem/dgad330 10.1038/s41467-017-01646-6 10.1053/j.ackd.2012.12.006 10.3390/nu11123008 10.1161/CIRCULATIONAHA.109.192644 10.1016/j.arr.2020.101185 10.1097/MD.0000000000000041 10.1079/BJN19740060 10.1038/s41598-023-36390-z 10.1053/j.ajkd.2005.06.007 10.1371/journal.pone.0238177 10.1002/jcu.1870180707 10.1186/s12882-017-0496-7 10.1016/S0140-6736(20)30045-3 10.1161/CIRCULATIONAHA.106.675355 10.1016/j.kint.2016.12.034 10.1016/S2213-8587(20)30110-8 10.1038/sj.ijo.0801734 10.1001/jama.291.7.844 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2025 2025. The Author(s). COPYRIGHT 2025 BioMed Central Ltd. The Author(s) 2025 2025 |
| Copyright_xml | – notice: The Author(s) 2025 – notice: 2025. The Author(s). – notice: COPYRIGHT 2025 BioMed Central Ltd. – notice: The Author(s) 2025 2025 |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 7X8 7S9 L.6 5PM ADTOC UNPAY DOA |
| DOI | 10.1186/s12937-025-01150-4 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science MEDLINE - Academic AGRICOLA AGRICOLA - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | MEDLINE AGRICOLA MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: C6C name: Springer Nature OA Free Journals url: http://www.springeropen.com/ sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 5 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Anatomy & Physiology Diet & Clinical Nutrition |
| EISSN | 1475-2891 |
| EndPage | 78 |
| ExternalDocumentID | oai_doaj_org_article_b01620a829b84af0a536353e64dfc877 10.1186/s12937-025-01150-4 PMC12067886 A839272972 40350415 10_1186_s12937_025_01150_4 |
| Genre | Journal Article |
| GeographicLocations | Italy |
| GeographicLocations_xml | – name: Italy |
| GrantInformation_xml | – fundername: Ministero dell’Istruzione, dell’Università e della Ricerca grantid: C53C22000840001; C53C22000840001; C53C22000840001 funderid: http://dx.doi.org/10.13039/501100003407 – fundername: Ministero dell'Istruzione, dell'Università e della Ricerca grantid: C53C22000840001 |
| GroupedDBID | --- 04C 0R~ 123 29N 2WC 2XV 53G 5VS 7RQ 7RV 7X7 88E 8C1 8FI 8FJ 8G5 A8Z AAFWJ AAHBH AAJSJ AASML AAWTL ABDBF ABUWG ACGFO ACGFS ACIHN ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS AZQEC BAPOH BAWUL BCNDV BENPR BFQNJ BKEYQ BMC BMSDO BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 DWQXO E3Z EAD EAP EAS EBD EBLON EBS ECGQY EIHBH EMB EMK EMOBN ESTFP ESX EX3 F5P FYUFA GNUQQ GROUPED_DOAJ GUQSH GX1 HH5 HMCUK HYE IAO ICU IHR IHT INH INR IPT ISE ISR ITC KQ8 M1P M2O M~E NAPCQ O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO PUEGO QF4 QN7 RBZ RNS ROL RPM RSV SCM SOJ SV3 TR2 TUS UKHRP W2D WOQ WOW XSB AAYXX CITATION ALIPV CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 5PM 2VQ 4.4 ADTOC AHSBF C1A EJD H13 IPNFZ M48 RIG UNPAY |
| ID | FETCH-LOGICAL-c600t-f9cffbb7a035ac705765c8e6eadf3387c1225da22c96d7c9b40c5840ed10df823 |
| IEDL.DBID | C6C |
| ISSN | 1475-2891 |
| IngestDate | Fri Oct 03 12:45:18 EDT 2025 Sun Oct 26 04:16:24 EDT 2025 Tue Sep 30 17:03:26 EDT 2025 Fri Sep 05 15:05:03 EDT 2025 Fri Sep 05 17:00:54 EDT 2025 Mon Oct 20 22:44:08 EDT 2025 Mon Oct 20 16:54:11 EDT 2025 Thu Oct 16 15:39:45 EDT 2025 Fri May 16 02:47:22 EDT 2025 Wed Oct 01 06:25:53 EDT 2025 Sat Sep 06 07:30:16 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Obesity Chronic kidney disease Metabolic syndrome Body composition BMI Glomerular filtration rate Visceral and subcutaneous fat |
| Language | English |
| License | 2025. The Author(s). Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. cc-by-nc-nd |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c600t-f9cffbb7a035ac705765c8e6eadf3387c1225da22c96d7c9b40c5840ed10df823 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://doi.org/10.1186/s12937-025-01150-4 |
| PMID | 40350415 |
| PQID | 3202859897 |
| PQPubID | 23479 |
| PageCount | 1 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_b01620a829b84af0a536353e64dfc877 unpaywall_primary_10_1186_s12937_025_01150_4 pubmedcentral_primary_oai_pubmedcentral_nih_gov_12067886 proquest_miscellaneous_3242041111 proquest_miscellaneous_3202859897 gale_infotracmisc_A839272972 gale_infotracacademiconefile_A839272972 gale_incontextgauss_ISR_A839272972 pubmed_primary_40350415 crossref_primary_10_1186_s12937_025_01150_4 springer_journals_10_1186_s12937_025_01150_4 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2025-05-11 |
| PublicationDateYYYYMMDD | 2025-05-11 |
| PublicationDate_xml | – month: 05 year: 2025 text: 2025-05-11 day: 11 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Nutrition journal |
| PublicationTitleAbbrev | Nutr J |
| PublicationTitleAlternate | Nutr J |
| PublicationYear | 2025 |
| Publisher | BioMed Central BioMed Central Ltd BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: BMC |
| References | M Wu (1150_CR33) 2022; 52 KG Alberti (1150_CR30) 2009; 120 CSL Tuttle (1150_CR42) 2020; 64 H Peng (1150_CR43) 2017; 8 BO Eriksen (1150_CR34) 2017; 18 T Fukuda (1150_CR44) 2020; 37 A Basolo (1150_CR4) 2023; 108 CB Turer (1150_CR8) 2019; 5 World Health Organization (1150_CR21) 2000 CY Hsu (1150_CR35) 2005; 165 N Stefan (1150_CR19) 2020; 8 AS Levey (1150_CR28) 2009; 150 S Bertoli (1150_CR26) 2016; 15 K Matsushita (1150_CR2) 2022; 18 CS Fox (1150_CR6) 2004; 291 CS Fox (1150_CR18) 2007; 116 A Leone (1150_CR38) 2019; 11 RN Brown (1150_CR13) 2012; 27 1150_CR20 JVGA Durnin (1150_CR22) 1974; 32 H Kramer (1150_CR7) 2005; 46 AV Chobanian (1150_CR27) 2003; 289 JH Jhee (1150_CR16) 2020; 11 1150_CR23 RZ Alicic (1150_CR36) 2013; 20 1150_CR29 A Whaley-Connell (1150_CR5) 2017; 92 K Mueller-Peltzer (1150_CR17) 2023; 13 G Kim (1150_CR41) 2020; 35 DH Seo (1150_CR45) 2022; 30 A Leone (1150_CR24) 2018; 37 A Chagnac (1150_CR11) 2000; 278 MC Foster (1150_CR14) 2008; 52 K Yau (1150_CR37) 2024; 20 IJ Neeland (1150_CR32) 2019; 7 RJ Bosma (1150_CR10) 2004; 65 WH Huang (1150_CR15) 2014; 93 RP Stolk (1150_CR47) 2001; 25 J Wang (1150_CR40) 2022; 79 V Jha (1150_CR1) 2013; 382 1150_CR31 CH Jung (1150_CR39) 2015; 88 S Bertoli (1150_CR46) 2015; 34 GBD Chronic Kidney Disease Collaboration (1150_CR3) 2020; 395 SW Oh (1150_CR12) 2020; 15 CY Hsu (1150_CR9) 2006; 144 F Armellini (1150_CR25) 1990; 18 |
| References_xml | – volume: 278 start-page: F817 year: 2000 ident: 1150_CR11 publication-title: Am J Physiol Renal Physiol doi: 10.1152/ajprenal.2000.278.5.F817 – volume: 18 start-page: 696 year: 2022 ident: 1150_CR2 publication-title: Nat Rev Nephrol doi: 10.1038/s41581-022-00616-6 – volume: 11 start-page: 726 year: 2020 ident: 1150_CR16 publication-title: J Cachexia Sarcopenia Muscle doi: 10.1002/jcsm.12549 – volume: 382 start-page: 260 year: 2013 ident: 1150_CR1 publication-title: Lancet doi: 10.1016/S0140-6736(13)60687-X – volume: 20 start-page: 321 year: 2024 ident: 1150_CR37 publication-title: Nat Rev Endocrinol doi: 10.1038/s41574-024-00951-7 – volume: 289 start-page: 2560 year: 2003 ident: 1150_CR27 publication-title: JAMA doi: 10.1001/jama.289.19.2560 – volume: 37 start-page: 105 year: 2020 ident: 1150_CR44 publication-title: Diabet Med doi: 10.1111/dme.14153 – volume: 88 start-page: 843 year: 2015 ident: 1150_CR39 publication-title: Kidney Int doi: 10.1038/ki.2015.183 – volume: 30 start-page: 2034 year: 2022 ident: 1150_CR45 publication-title: Obesity doi: 10.1002/oby.23512 – volume: 52 start-page: 39 year: 2008 ident: 1150_CR14 publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2008.03.003 – volume: 15 start-page: 2 year: 2016 ident: 1150_CR26 publication-title: Nutr J doi: 10.1186/s12937-015-0120-2 – ident: 1150_CR20 – volume: 7 start-page: 715 year: 2019 ident: 1150_CR32 publication-title: Lancet Diabetes Endocrinol doi: 10.1016/S2213-8587(19)30084-1 – volume: 5 start-page: 570 year: 2019 ident: 1150_CR8 publication-title: Obes Sci Pract doi: 10.1002/osp4.365 – volume: 150 start-page: 604 year: 2009 ident: 1150_CR28 publication-title: Ann Intern Med doi: 10.7326/0003-4819-150-9-200905050-00006 – volume: 35 start-page: 1 year: 2020 ident: 1150_CR41 publication-title: Endocrinol Metab (Seoul) doi: 10.3803/EnM.2020.35.1.1 – volume: 65 start-page: 259 year: 2004 ident: 1150_CR10 publication-title: Kidney Int doi: 10.1111/j.1523-1755.2004.00351.x – ident: 1150_CR29 – volume: 165 start-page: 923 year: 2005 ident: 1150_CR35 publication-title: Arch Intern Med doi: 10.1001/archinte.165.8.923 – volume: 79 start-page: 24 year: 2022 ident: 1150_CR40 publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2021.05.008 – volume: 27 start-page: 2776 year: 2012 ident: 1150_CR13 publication-title: Nephrol Dial Transplant doi: 10.1093/ndt/gfr757 – volume: 144 start-page: 21 year: 2006 ident: 1150_CR9 publication-title: Ann Intern Med doi: 10.7326/0003-4819-144-1-200601030-00006 – volume: 37 start-page: 701 year: 2018 ident: 1150_CR24 publication-title: J Am Coll Nutr doi: 10.1080/07315724.2018.1463184 – volume: 52 year: 2022 ident: 1150_CR33 publication-title: Eur J Clin Invest doi: 10.1111/eci.13646 – volume: 34 start-page: 107 year: 2015 ident: 1150_CR46 publication-title: Clin Nutr doi: 10.1016/j.clnu.2014.02.001 – volume: 108 start-page: 3280 year: 2023 ident: 1150_CR4 publication-title: J Clin Endocrinol Metab doi: 10.1210/clinem/dgad330 – volume: 8 start-page: 1493 year: 2017 ident: 1150_CR43 publication-title: Nat Commun doi: 10.1038/s41467-017-01646-6 – volume: 20 start-page: 121 year: 2013 ident: 1150_CR36 publication-title: Adv Chronic Kidney Dis doi: 10.1053/j.ackd.2012.12.006 – volume: 11 start-page: 3008 year: 2019 ident: 1150_CR38 publication-title: Nutrients doi: 10.3390/nu11123008 – volume: 120 start-page: 1640 year: 2009 ident: 1150_CR30 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.109.192644 – volume-title: Obesity: preventing and managing the global epidemic year: 2000 ident: 1150_CR21 – volume: 64 year: 2020 ident: 1150_CR42 publication-title: Ageing Res Rev doi: 10.1016/j.arr.2020.101185 – ident: 1150_CR23 – volume: 93 year: 2014 ident: 1150_CR15 publication-title: Medicine (Baltimore) doi: 10.1097/MD.0000000000000041 – volume: 32 start-page: 77 year: 1974 ident: 1150_CR22 publication-title: Br J Nutr doi: 10.1079/BJN19740060 – volume: 13 start-page: 9151 year: 2023 ident: 1150_CR17 publication-title: Sci Rep doi: 10.1038/s41598-023-36390-z – volume: 46 start-page: 587 year: 2005 ident: 1150_CR7 publication-title: Am J Kidney Dis doi: 10.1053/j.ajkd.2005.06.007 – volume: 15 year: 2020 ident: 1150_CR12 publication-title: PLoS ONE doi: 10.1371/journal.pone.0238177 – volume: 18 start-page: 563 year: 1990 ident: 1150_CR25 publication-title: J Clin Ultrasound doi: 10.1002/jcu.1870180707 – volume: 18 start-page: 77 year: 2017 ident: 1150_CR34 publication-title: BMC Nephrol doi: 10.1186/s12882-017-0496-7 – volume: 395 start-page: 709 year: 2020 ident: 1150_CR3 publication-title: Lancet doi: 10.1016/S0140-6736(20)30045-3 – volume: 116 start-page: 39 year: 2007 ident: 1150_CR18 publication-title: Circulation doi: 10.1161/CIRCULATIONAHA.106.675355 – volume: 92 start-page: 313 year: 2017 ident: 1150_CR5 publication-title: Kidney Int doi: 10.1016/j.kint.2016.12.034 – volume: 8 start-page: 616 year: 2020 ident: 1150_CR19 publication-title: Lancet Diabetes Endocrinol doi: 10.1016/S2213-8587(20)30110-8 – ident: 1150_CR31 – volume: 25 start-page: 1346 year: 2001 ident: 1150_CR47 publication-title: Int J Obes Relat Metab Disord doi: 10.1038/sj.ijo.0801734 – volume: 291 start-page: 844 year: 2004 ident: 1150_CR6 publication-title: JAMA doi: 10.1001/jama.291.7.844 |
| SSID | ssj0028897 |
| Score | 2.4055576 |
| Snippet | Background
The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition... The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition and adipose... Background The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition... BACKGROUND: The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body composition... Abstract Background The relationship between BMI and chronic kidney disease is controversial, likely due to the inability of BMI to accurately define body... |
| SourceID | doaj unpaywall pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Publisher |
| StartPage | 78 |
| SubjectTerms | Abdominal Fat adipose tissue Adipose tissues Adult Aged blood serum BMI Body Composition Body Mass Index Chronic kidney disease Clinical Nutrition Cohort Studies creatinine Cross-Sectional Studies equations fat mass index Female females Glomerular filtration rate Glomerular Filtration Rate - physiology Health Promotion and Disease Prevention Humans Intra-Abdominal Fat kidney diseases lean body mass Male mathematical models Medical research Medicine Medicine & Public Health Medicine, Experimental Metabolic Syndrome Methods Middle Aged Obesity patients Physiological aspects Renal Insufficiency, Chronic risk tissue distribution ultrasonics Visceral and subcutaneous fat waist circumference Weight loss Weight Reduction Programs Wellness programs |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQL8ABQcsjpSCDEBxoVCdxEofb8qgKEj0AlXqzHMduI2WT1WZXVX8e_4wZx1ltQCocuO3as6vYHs_D-fwNIa9MUuV5arLQ5JGGBKWwYWEUC7nRiahKriKN55BfT7OTM_7lPD3fKvWFmLCBHniYuKMSYpKYKREXpeDKMpUm4CMTk_HKapG7e-RMFGMy5VMtIYp8vCIjsqMevVoeYulWFwKFfOKGHFv_nzZ5yyn9DpjcvDW9S26v24W6vlJNs-WYju-Tez6ipLNhJA_ILdPukr1ZC9n0_Jq-pg7j6Q7Pd0nwsTYraPNsoA09Hcn498jPDS7usl5Qj9-i5bymqq3oRdPNzRIxq9TWjefapcgzQeuWKtogopxiud3lClrgPxUCqqHnyh2-0gamgXo02Ds61mUBsYY6uLyvu9XTzlKrVnQOUf0hfgrt0hj_FZ9ElVXnKpE5sQFD76Dy_UNydvzpx4eT0Bd4CDXEWfD7QltblrliSap0DqFjlmphMtBuC6lzriOwNpWKY11kVa6LkjMNARMzVcQqK-LkEdlpu9Y8ITSKrTaJVYVWlmtlkGPZMFuUJViwwiQBeTuut1wMPB7S5T8ik4N2SNAO6bRD8oC8R5XYSCIHt2sAzZReM-XfNDMgL1GhJLJstAjjuVDrvpefv3-TMwxLIa3J44C88UK2g7XTyt-KgFEhMddE8mAiCWZAT7pfjHorsQuxc63p1r1MYoYshbAjbpLhMePoPgPyeND1zeA5vnyGOC8gYrILJrMz7WnrS8dUHmFxACGygByOG0Z6G9nfOP2Hm031D6u1_z9W6ym5Ezv7kIZRdEB2Vsu1eQbx5qp87kzLL4hKfkU priority: 102 providerName: Directory of Open Access Journals – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELagewAOPHZ5BBZkEIIDTTdvJ9zKY7UgUSGg0nKyHMfuFtK0alqtln_HP2PGcapmQSuQuDX2pPJrxjPO528IearCgrFYJa5ivoQAJdNupoTnRkqGaZFHwpd4DvlhlByNo_fH8bFNB4R3YaqWg_7bYPv-edlcb8D0CWp5sCh0o-1pclDjhsVczMpqvBs3ukx2khgc8x7ZGY8-Dr-a-0UsdiG08NtrM398sbM1GQb_3-301kZ1HkS5-ZJ6jVxZVwtxdirKcmuzOrxByrabDUbl-2C9ygfyxzkGyP80DjfJdevU0mGzCm-RS6raJXvDCgL62Rl9Rg3M1Jzf7xLnzVStoMwSkpZ01LZhj_zcQPNOpgtqIWQ0n02pqAo6KaGFS4TNUj0tLd0vRaoLOq2ooCWC2ilm_F2uoAT-UyCmG2pOzfkvLWHUqQWkvaRtahgQK6lB7NvUXzWda6rFis4gsOjjL1cvlbKP2BKRF3OTDM2INTB-g9avb5Px4dsvr49cm2PCleDqwfuZ1DrPmfDCWEgG3msSy1QloGAaoncmfTB4hQgCmSUFk1keeRJ8Nk8VvlfoNAjvkF41r9Q9Qv1ASxVqkUmhIykU0jwrT2d5DkY0U6FDXrTLiy8aKhFuQrA04c3scZg9bmaPRw55hStwI4k04KZgvpxwa1V4Dg574Ik0yPI0EtoTcQgOZKiSqNAyZcwhT3D9ciT6qBBJNBHruubvPn_iQ_SMIbJigUOeWyE9h7mTwl7MgF4hN1hHcr8jCZZIdqoft2rCsQrhe5War2seBh4SJaYZu0gmCrwId3CH3G1Ua9P5CL9_g6vpkLSjdJ3R6dZU0xNDlu5jfoI0TRzSb_WTWzNdXzj8_Y0O_8Vs3f838QfkamA0NXZ9f5_0Vsu1egjO7Sp_ZI3WL15Uojo priority: 102 providerName: Unpaywall |
| Title | Relationship between bmi and glomerular filtration rate in a large cohort initiating a weight loss program: differential contributions of fat mass, fat-free mass, and abdominal fat compartments |
| URI | https://link.springer.com/article/10.1186/s12937-025-01150-4 https://www.ncbi.nlm.nih.gov/pubmed/40350415 https://www.proquest.com/docview/3202859897 https://www.proquest.com/docview/3242041111 https://pubmed.ncbi.nlm.nih.gov/PMC12067886 https://nutritionj.biomedcentral.com/counter/pdf/10.1186/s12937-025-01150-4 https://doaj.org/article/b01620a829b84af0a536353e64dfc877 |
| UnpaywallVersion | publishedVersion |
| Volume | 24 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVFSB databaseName: Free Full-Text Journals in Chemistry customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: HH5 dateStart: 20020101 isFulltext: true titleUrlDefault: http://abc-chemistry.org/ providerName: ABC ChemistRy – providerCode: PRVADU databaseName: BioMed Central Open Access Free customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: RBZ dateStart: 20020101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: KQ8 dateStart: 20020901 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: KQ8 dateStart: 20020101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: DOA dateStart: 20020101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: ABDBF dateStart: 20020101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: EBSCOhost Food Science Source customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: A8Z dateStart: 20020101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/login.aspx?authtype=ip,uid&profile=ehost&defaultdb=fsr providerName: EBSCOhost – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: DIK dateStart: 20020101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: GX1 dateStart: 20020101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: M~E dateStart: 20020101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: RPM dateStart: 20020101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVPQU databaseName: Health & Medical Collection (Proquest) customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: 8C1 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVAVX databaseName: HAS SpringerNature Open Access 2022 customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: AAJSJ dateStart: 20021201 isFulltext: true titleUrlDefault: https://www.springernature.com providerName: Springer Nature – providerCode: PRVAVX databaseName: Springer Nature OA Free Journals customDbUrl: eissn: 1475-2891 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0028897 issn: 1475-2891 databaseCode: C6C dateStart: 20020112 isFulltext: true titleUrlDefault: http://www.springeropen.com/ providerName: Springer Nature |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bb9MwFLbYJnF5QNBxCYzKIAQPNCK3xg5vXdk0kFZNg0rjyXIce4uUplXTatrP459xjutWDaAJXqrWPoma-Phc7M_fIeStjgvG-jr1NQsVJCiZ8TMtAz_RKuZFnshQ4Trk6Sg9GSdfL_oXjiYHz8Js79-HPP3YoD9iPhZdtcGLn-yQPXBSqd2YTYeb5IrzjK0Pxfz1upbjsfz8f1rhLTf0O0Rys0_6gNxb1jN5cy2rassVHT8iD10MSQerQX9M7ui6Q_YHNeTPkxv6jlpUp10u7xDvc6kX0Ob4Pys6WtPvd8jdU7exvk9-bkBxV-WMOvAWzScllXVBL6vpRM8RsEpNWTmiXYokE7SsqaQVwskp1tqdL6AFbi8RTQ0913bllVbwRqiDgn2i66IsIFZRi5V3RbcaOjXUyAWdQEjfw2--mWvtfuI_kXkxtWXIrNgKQG9x8s0TMj4--j488V11B19BkAXXZ8qYPGcyiPtSMYgb077iOgXVNpA3MxWCqSlkFKksLZjK8iRQEC0FugiDwvAofkp262mtnxMaRkbp2MhMSZMoqZFgWQcmy3MwX5mOPfJhPfRitiLxEDb54alYKYoARRFWUUTikUPUjo0kEnDbBtBL4eazyCFUjgLJoyzniTSB7McQusU6TQqjOGMeeYO6JZBio0YMz6VcNo348u1cDDAmhZyGRR5574TMFMZOSXckAp4KWblakgctSbABqtX9eq3CArsQOFfr6bIRcRQgRSFMjttkkihI0Hd65NlK7TcPn-DOMwR5HuGtCdF6O-2euryyNOUhVgbgPPVIbz13hDOQza2vv7eZX_8wWi_-7-4vyf3IGoW-H4YHZHcxX-pXEFYu8i7ZYRcMPvkw7JK9w6PR2XnX2piuXaiBtvHobPDjF8Y-eGQ |
| linkProvider | Springer Nature |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdgkxg8IOj4CAwwCMEDjchXE4e38jF1Ze0D26S9WY5jd5HSpGpaTfvz-M-4c51qATTBWxtfosS-O9_ZP_-OkLcqzJNkoGJXJb6EBCXVbqqE50ZKhizPIuFLXIecTOPRWTQ-H5zbQ2FNi3ZvtySNpzZmzeKPDc5MiYvlV00Y40a3yS6CrMAcd4fD8cl4m2gxlibtAZm_3tmZhAxX_58e-dqU9Dtccrtneo_srauFuLoUZXltWjp8QO7beJIONwrwkNxSVY_sDyvIpedX9B01CE-zdN4jztdCreCa5QIt6bSl4u-ROxO7yb5Pfm4BchfFglogF83mBRVVTmdlPVdLBK9SXZSWdJci4QQtKipoidByinV3lyu4Ao8XiKyGlkuzCktL6BFqYWGfaFugBcRKanDztgBXQ2tNtVjROYT3ffzl6qVS9i--icjy2pQkM2IbML3BzDePyNnht9MvI9dWenAlBFxwfyq1zrJEeOFAyARiyHggmYpBzTXk0In0we3kIghkGueJTLPIkxA5eSr3vVyzIHxMdqq6Uk8J9QMtVahFKoWOpFBItqw8nWYZuLJUhQ750A49X2wIPbhJhFjMN4rCQVG4URQeOeQzasdWEsm4zYV6OePWtnkGYXPgCRakGYuE9sQghDAuVHGUa8mSxCFvULc40m1UiOeZiXXT8KOTH3yI8SnkN0ngkPdWSNcwdlLY4xHwVcjQ1ZE86EiCP5Cd5tetCnNsQhBdpep1w8PAQ7pCMI6bZKLAi3AedciTjdpvPz7CXWgI-BzCOgbR6Z1uS1VcGMpyH6sEMBY7pN_aDrfOsrmx-_tb-_qH0Xr2f09_RfZGp5Njfnw0_f6c3A2Mgxi4vn9AdlbLtXoB4eYqe2m9yy8U9HrK |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3db9MwELdgSAMeEGx8BAYYhOBhjZYPN3F4Gx3TBqxCwKS9WY5jd5XSpGpaTfvz-M-4c5xqATTBWxtfosS-O9_ZP_-OkDc6LtJ0qBNfp6GCBCUzfqZl4DOtYl7kTIYK1yFPxsnRKft0Njy7corfot27Lcn2TAOyNFXLvXlhWhPnyV6Ds1TqYylWG9L47Ca5xWB2wxoGo2S0Trk4z9LuqMxf7-tNR5a1_0_ffGVy-h04ud49vUtur6q5vLyQZXllgjq8T-65yJLut6rwgNzQ1RbZ3q8gq55d0rfUYj3tIvoW8Q6megnXHCtoSccdKf8W2Txx2-3b5OcaKnc-nVMH6aL5bEplVdBJWc_0AmGs1ExLR79LkXqCTisqaYkgc4oVeBdLuAKPl4ixhpYLux5LS-gR6gBi72lXqgXESmoR9K4UV0NrQ41c0hkE-gP85ZuF1u4vvonMi9oWJ7NiLazeouebh-T08OOP0ZHvaj74CkIvuD9TxuR5KoN4KFUK0WQyVFwnoPAGsulUheCAChlFKkuKVGU5CxTEUIEuwqAwPIofkY2qrvQTQsPIKB0bmSlpmJIaaZd1YLI8B6eW6dgju93Qi3lL7SFsSsQT0SqKAEURVlEE88gH1I61JNJy2wv1YiKclYscAugokDzKcs6kCeQwhoAu1gkrjOJp6pHXqFsCiTcqRPZM5KppxPH3b2IfI1XIdNLII--ckKlh7JR0ByXgq5Crqye505MEz6B6za86FRbYhHC6SterRsRRgMSFYBzXybAoYDijeuRxq_brj2e4Hw2hn0d4zyB6vdNvqabnlrw8xHoBnCceGXS2I5zbbK7t_sHavv5htJ7-39Nfks2vB4fiy_H48zNyJ7L-YeiH4Q7ZWC5W-jnEncv8hXUtvwBSFn2n |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwELagewAOPHZ5BBZkEIIDTTdvJ9zKY7UgUSGg0nKyHMfuFtK0alqtln_HP2PGcapmQSuQuDX2pPJrxjPO528IearCgrFYJa5ivoQAJdNupoTnRkqGaZFHwpd4DvlhlByNo_fH8bFNB4R3YaqWg_7bYPv-edlcb8D0CWp5sCh0o-1pclDjhsVczMpqvBs3ukx2khgc8x7ZGY8-Dr-a-0UsdiG08NtrM398sbM1GQb_3-301kZ1HkS5-ZJ6jVxZVwtxdirKcmuzOrxByrabDUbl-2C9ygfyxzkGyP80DjfJdevU0mGzCm-RS6raJXvDCgL62Rl9Rg3M1Jzf7xLnzVStoMwSkpZ01LZhj_zcQPNOpgtqIWQ0n02pqAo6KaGFS4TNUj0tLd0vRaoLOq2ooCWC2ilm_F2uoAT-UyCmG2pOzfkvLWHUqQWkvaRtahgQK6lB7NvUXzWda6rFis4gsOjjL1cvlbKP2BKRF3OTDM2INTB-g9avb5Px4dsvr49cm2PCleDqwfuZ1DrPmfDCWEgG3msSy1QloGAaoncmfTB4hQgCmSUFk1keeRJ8Nk8VvlfoNAjvkF41r9Q9Qv1ASxVqkUmhIykU0jwrT2d5DkY0U6FDXrTLiy8aKhFuQrA04c3scZg9bmaPRw55hStwI4k04KZgvpxwa1V4Dg574Ik0yPI0EtoTcQgOZKiSqNAyZcwhT3D9ciT6qBBJNBHruubvPn_iQ_SMIbJigUOeWyE9h7mTwl7MgF4hN1hHcr8jCZZIdqoft2rCsQrhe5War2seBh4SJaYZu0gmCrwId3CH3G1Ua9P5CL9_g6vpkLSjdJ3R6dZU0xNDlu5jfoI0TRzSb_WTWzNdXzj8_Y0O_8Vs3f838QfkamA0NXZ9f5_0Vsu1egjO7Sp_ZI3WL15Uojo |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Relationship+between+bmi+and+glomerular+filtration+rate+in+a+large+cohort+initiating+a+weight+loss+program%3A+differential+contributions+of+fat+mass%2C+fat-free+mass%2C+and+abdominal+fat+compartments&rft.jtitle=Nutrition+journal&rft.au=Leone%2C+Alessandro&rft.au=Menichetti%2C+Francesca&rft.au=Vignati%2C+Laila&rft.au=Sileo%2C+Federica&rft.date=2025-05-11&rft.pub=BioMed+Central&rft.eissn=1475-2891&rft.volume=24&rft.issue=1&rft_id=info:doi/10.1186%2Fs12937-025-01150-4&rft.externalDocID=10_1186_s12937_025_01150_4 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1475-2891&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1475-2891&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1475-2891&client=summon |