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For: Christakoudi S, Tsilidis KK, Muller DC, Freisling H, Weiderpass E, Overvad K, Söderberg S, Häggström C, Pischon T, Dahm CC, Zhang J, Tjønneland A, Halkjær J, MacDonald C, Boutron-Ruault MC, Mancini FR, Kühn T, Kaaks R, Schulze MB, Trichopoulou A, Karakatsani A, Peppa E, Masala G, Pala V, Panico S, Tumino R, Sacerdote C, Quirós JR, Agudo A, Sánchez MJ, Cirera L, Barricarte-Gurrea A, Amiano P, Memarian E, Sonestedt E, Bueno-de-Mesquita B, May AM, Khaw KT, Wareham NJ, Tong TYN, Huybrechts I, Noh H, Aglago EK, Ellingjord-Dale M, Ward HA, Aune D, Riboli E. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort. Sci Rep 2020;10:14541. [PMID: 32883969 DOI: 10.1038/s41598-020-71302-5] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Kim B, Kim GM, Kim E, Park J, Isobe T, Mori Y, Oh S. The Anthropometric Measure 'A Body Shape Index' May Predict the Risk of Osteoporosis in Middle-Aged and Older Korean People. Int J Environ Res Public Health 2022;19:4926. [PMID: 35457793 DOI: 10.3390/ijerph19084926] [Reference Citation Analysis]
2 Rosberg V, Vishram-nielsen JK, Kristensen AMD, Pareek M, Sehested TS, Nilsson PM, Linneberg A, Palmieri L, Giampaoli S, Donfrancesco C, Kee F, Mancia G, Cesana G, Veronesi G, Grassi G, Kuulasmaa K, Salomaa V, Palosaari T, Sans S, Ferrieres J, Dallongeville J, Söderberg S, Moitry M, Drygas W, Tamosiunas A, Peters A, Brenner H, Schöttker B, Grimsgaard S, Biering-sørensen T, Olsen MH. Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project. Preventive Medicine Reports 2022;26:101700. [DOI: 10.1016/j.pmedr.2022.101700] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Pischon T. BMI and mortality-time to revisit current recommendations for risk assessment. Am J Clin Nutr 2020:nqaa324. [PMID: 33300027 DOI: 10.1093/ajcn/nqaa324] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Wu S, Hsu L, Teng M, Chou H, Ko Y. Differential Genetic and Epigenetic Effects of the KLF14 Gene on Body Shape Indices and Metabolic Traits. IJMS 2022;23:4165. [DOI: 10.3390/ijms23084165] [Reference Citation Analysis]
5 Xie F, Pei Y, Zhou Q, Cao D, Wang Y. Comparison of obesity-related indices for identifying nonalcoholic fatty liver disease: a population-based cross-sectional study in China. Lipids Health Dis 2021;20:132. [PMID: 34629056 DOI: 10.1186/s12944-021-01560-3] [Reference Citation Analysis]
6 Zeinalian R, Mosharkesh E, Tahmassian AH, Kalhori A, Alizadeh M, Kheirouri S, Jabbari M. The association of a body shape index and visceral adiposity index with neurotrophic, hormonal and metabolic factors among apparently healthy women: a cross-sectional analysis. J Diabetes Metab Disord. [DOI: 10.1007/s40200-021-00959-0] [Reference Citation Analysis]
7 Christakoudi S, Tsilidis KK, Evangelou E, Riboli E. Association of body-shape phenotypes with imaging measures of body composition in the UK Biobank cohort: relevance to colon cancer risk. BMC Cancer 2021;21:1106. [PMID: 34654381 DOI: 10.1186/s12885-021-08820-6] [Reference Citation Analysis]
8 Criminisi A, Sorek N, Heymsfield SB. Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction. Sci Rep 2022;12:12375. [PMID: 35858946 DOI: 10.1038/s41598-022-16142-1] [Reference Citation Analysis]
9 Zhang RH, Zhou JB, Cai YH, Shu LP, Yang J, Wei W, Lecube A. Non-linear association of anthropometric measurements and pulmonary function. Sci Rep 2021;11:14596. [PMID: 34272443 DOI: 10.1038/s41598-021-93985-0] [Reference Citation Analysis]
10 Gualdi-russo E, Rinaldo N, Toselli S, Zaccagni L. Associations of Physical Activity and Sedentary Behaviour Assessed by Accelerometer with Body Composition among Children and Adolescents: A Scoping Review. Sustainability 2021;13:335. [DOI: 10.3390/su13010335] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Kajikawa M, Maruhashi T, Kishimoto S, Yamaji T, Harada T, Hashimoto Y, Han Y, Mizobuchi A, Aoki G, Yoshimura K, Chayama K, Goto C, Yusoff FM, Nakashima A, Higashi Y. A body shape index is associated with endothelial dysfunction in both men and women. Sci Rep 2021;11:17873. [PMID: 34504193 DOI: 10.1038/s41598-021-97325-0] [Reference Citation Analysis]
12 Fedotkina O, Sulaieva O, Ozgumus T, Cherviakova L, Khalimon N, Svietleisha T, Buldenko T, Ahlqvist E, Asplund O, Groop L, Nilsson PM, Lyssenko V. Novel Reclassification of Adult Diabetes Is Useful to Distinguish Stages of β-Cell Function Linked to the Risk of Vascular Complications: The DOLCE Study From Northern Ukraine. Front Genet 2021;12:637945. [PMID: 34276762 DOI: 10.3389/fgene.2021.637945] [Reference Citation Analysis]
13 Mirrafiei A, Jabbarzadeh B, Hosseini Y, Djafarian K, Shab-Bidar S. No association between dietary magnesium intake and body composition among Iranian adults: a cross-sectional study. BMC Nutr 2022;8:39. [PMID: 35484632 DOI: 10.1186/s40795-022-00535-6] [Reference Citation Analysis]
14 Krakauer NY, Krakauer JC. Association of Body Shape Index (ABSI) with Hand Grip Strength. Int J Environ Res Public Health 2020;17:E6797. [PMID: 32957738 DOI: 10.3390/ijerph17186797] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
15 Kesztyüs D, Lampl J, Kesztyüs T. The Weight Problem: Overview of the Most Common Concepts for Body Mass and Fat Distribution and Critical Consideration of Their Usefulness for Risk Assessment and Practice. Int J Environ Res Public Health 2021;18:11070. [PMID: 34769593 DOI: 10.3390/ijerph182111070] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Barranco-ruiz Y, Villa-gonzález E. Choreographic Group-Based Fitness Classes Improve Cardiometabolic Health-Related Anthropometric Indices and Blood Lipids Profile in Overweight Sedentary Women. Sustainability 2021;13:972. [DOI: 10.3390/su13020972] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Minetto MA, Pietrobelli A, Busso C, Bennett JP, Ferraris A, Shepherd JA, Heymsfield SB. Digital Anthropometry for Body Circumference Measurements: European Phenotypic Variations throughout the Decades. JPM 2022;12:906. [DOI: 10.3390/jpm12060906] [Reference Citation Analysis]
18 Krakauer NY, Krakauer JC. Association of X-ray Absorptiometry Body Composition Measurements with Basic Anthropometrics and Mortality Hazard. Int J Environ Res Public Health 2021;18:7927. [PMID: 34360218 DOI: 10.3390/ijerph18157927] [Reference Citation Analysis]
19 Christakoudi S, Tsilidis KK, Evangelou E, Riboli E. A Body Shape Index (ABSI), hip index, and risk of cancer in the UK Biobank cohort. Cancer Med 2021;10:5614-28. [PMID: 34196490 DOI: 10.1002/cam4.4097] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
20 Xu J, Zhang L, Wu Q, Zhou Y, Jin Z, Li Z, Zhu Y. Body roundness index is a superior indicator to associate with the cardio-metabolic risk: evidence from a cross-sectional study with 17,000 Eastern-China adults. BMC Cardiovasc Disord 2021;21:97. [PMID: 33593274 DOI: 10.1186/s12872-021-01905-x] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
21 Nagayama D, Fujishiro K, Tsuda S, Watanabe Y, Yamaguchi T, Suzuki K, Saiki A, Shirai K. Enhanced prediction of renal function decline by replacing waist circumference with "A Body Shape Index (ABSI)" in diagnosing metabolic syndrome: a retrospective cohort study in Japan. Int J Obes (Lond) 2021. [PMID: 34824353 DOI: 10.1038/s41366-021-01026-7] [Reference Citation Analysis]
22 Lee H, Chung HS, Kim YJ, Choi MK, Roh YK, Chung W, Yu JM, Oh CM, Moon S. Association between body shape index and risk of mortality in the United States. Sci Rep 2022;12:11254. [PMID: 35788633 DOI: 10.1038/s41598-022-15015-x] [Reference Citation Analysis]
23 Ahadzadeh AS, Wu SL, Ong FS, Deng R, Lee KF. A Moderated Mediation Model of Perceived Effect of Fitspiration Images on Self: The Influence of Media Literacy and BMI. Int J Environ Res Public Health 2022;19:5077. [PMID: 35564472 DOI: 10.3390/ijerph19095077] [Reference Citation Analysis]
24 Li Y, He Y, Yang L, Liu Q, Li C, Wang Y, Yang P, Wang J, Chen Z, Huang X. Body Roundness Index and Waist–Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study. Front Nutr 2022;9:801582. [DOI: 10.3389/fnut.2022.801582] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Zhou C, Peng Y, Jiang W, Yuan J, Zha Y. Comparison of novel visceral obesity indexes with traditional obesity measurements in predicting of metabolically unhealthy nonobese phenotype in hemodialysis patients. BMC Endocr Disord 2021;21:244. [PMID: 34923974 DOI: 10.1186/s12902-021-00907-2] [Reference Citation Analysis]
26 Wu Y, Palmer JR, Rosenberg L, Ruiz-Narváez EA. Admixture mapping of anthropometric traits in the Black Women's Health Study: evidence of a shared African ancestry component with birth weight and type 2 diabetes. J Hum Genet 2022. [PMID: 35017682 DOI: 10.1038/s10038-022-01010-7] [Reference Citation Analysis]
27 Nitsche LJ, Mukherjee S, Cheruvu K, Krabak C, Rachala R, Ratnakaram K, Sharma P, Singh M, Yendamuri S. Exploring the Impact of the Obesity Paradox on Lung Cancer and Other Malignancies. Cancers 2022;14:1440. [DOI: 10.3390/cancers14061440] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Michalsen VL, Wild SH, Kvaløy K, Svartberg J, Melhus M, Broderstad AR. Obesity measures, metabolic health and their association with 15-year all-cause and cardiovascular mortality in the SAMINOR 1 Survey: a population-based cohort study. BMC Cardiovasc Disord 2021;21:510. [PMID: 34674643 DOI: 10.1186/s12872-021-02288-9] [Reference Citation Analysis]
29 Li ZY, Tan YT, Wang J, Fang J, Liu DK, Li HL, Xiang YB. Dose-response relationship between fat distribution and liver cancer incidence: A prospective cohort study in Chinese men. Cancer Epidemiol 2022;76:102091. [PMID: 34998059 DOI: 10.1016/j.canep.2021.102091] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
30 Hsuan CF, Lin FJ, Lee TL, Yang KC, Tseng WK, Wu YW, Yin WH, Yeh HI, Chen JW, Wu CC; Taiwanese Secondary Prevention for Patients with AtheRosCLErotic Disease (T-SPARCLE) Registry Investigators. The waist-to-body mass index ratio as an anthropometric predictor for cardiovascular outcome in subjects with established atherosclerotic cardiovascular disease. Sci Rep 2022;12:804. [PMID: 35039542 DOI: 10.1038/s41598-021-04650-5] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Christakoudi S, Evangelou E, Riboli E, Tsilidis KK. GWAS of allometric body-shape indices in UK Biobank identifies loci suggesting associations with morphogenesis, organogenesis, adrenal cell renewal and cancer. Sci Rep 2021;11:10688. [PMID: 34021172 DOI: 10.1038/s41598-021-89176-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
32 Jochems SHJ, Wood AM, Häggström C, Orho-Melander M, Stattin P, Stocks T. Waist circumference and a body shape index and prostate cancer risk and mortality. Cancer Med 2021;10:2885-96. [PMID: 33710775 DOI: 10.1002/cam4.3827] [Reference Citation Analysis]
33 Xu YX, Zhang AH, Yu Y, Wan YH, Tao FB, Sun Y. Sex-specific association of exposure to bedroom light at night with general and abdominal adiposity in young adults. Ecotoxicol Environ Saf 2021;223:112561. [PMID: 34348191 DOI: 10.1016/j.ecoenv.2021.112561] [Reference Citation Analysis]