Cited by 215Diabetes, Cardiovascular Risks, and LipoproteinsObesity, Physical Activity, DietAdipokines, Inflammation, and Metabolic Diseases

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Metabolic and Behavioral Characteristics of Metabolically Obese but Normal-Weight Women

Conus, Florence, Allison, David B., Rabasa-Lhoret, Rémi, St-Onge, Maxime, St-Pierre, David H., Tremblay-Lebeau, Andréanne, Poehlman, Eric T.·2004·The Journal of Clinical Endocrinology & Metabolism

DOI 10.1210/jc.2004-0265

Open this paper in CoChat — free account

Abstract

A unique subset of individuals termed metabolically obese but normal weight (MONW) has been identified. These young women are potentially at increased risk for development of the metabolic syndrome despite their young age and normal body mass index. We seek to determine metabolic and behavioral factors that could potentially distinguish MONW women from young women with a normal metabolic profile.Ninety-six women were classified as MONW (n = 12) or non-MONW (n = 84) based on a cut point of insulin sensitivity (as estimated by the homeostasis model assessment). Potentially distinguishing phenotypes between groups measured included serum lipids, ghrelin, leptin, adiponectin, body composition and body fat distribution, resting and physical activity energy expenditure, peak oxygen uptake, dietary intake, dietary behavior, and family history and lifestyle variables. Despite a similar body mass index between groups, MONW women showed higher percent body fat, lower fat-free mass, lower physical activity energy expenditure, and lower peak oxygen uptake than non-MONW women. Plasma cholesterol level was higher in MONW women, whereas no differences were noted for other blood lipids, ghrelin, leptin, adiponectin, and resting energy expenditure. MONW women had lower dietary restraint scores than non-MONW women, but no differences were noted in disinhibition, hunger, and dietary intake. Stepwise regression analysis performed on all subjects showed that 33.5% of the unique variance of the homeostasis model assessment was explained with the variables of percentage of body fat (17.1%), level of dietary restraint (10.4%), and age (6%). Both metabolic and dietary behavioral variables contribute to the deleterious metabolic profile of MONW women. They display lower insulin sensitivity due potentially to a cluster of sedentary behavior patterns that contribute to their higher adiposity. Furthermore, cognitive attitudes toward food (i.e. dietary restraint) and concomitant lifestyle behaviors may play a role in regulating insulin sensitivity in MONW women.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1210/jc.2004-0265

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Compendium of physical activities: an update of activity codes and MET intensities
AINSWORTH, B. E., HASKELL, W. L., WHITT, M. C., IRWIN, M. L., SWARTZ, A. M., STRATH, S. J., O???BRIEN, W. L., BASSETT, D. R., SCHMITZ, K. H., EMPLAINCOURT, P. O., et al. (2000) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-200009001-00009 · Cited by 8,497
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
New methods for calculating metabolic rate with special reference to protein metabolism
Weir, J. B. D. V. (1949) · The Journal of Physiology · doi:10.1113/jphysiol.1949.sp004363 · Cited by 5,688
The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger
Stunkard, A. J., & Messick, S. (1985) · Journal of Psychosomatic Research · doi:10.1016/0022-3999(85)90010-8 · Cited by 4,687
Statistical Principles in Experimental Design
Green, P. E., Winer, B. J., Brown, D. R., & Michels, K. M. (1992) · Journal of Marketing Research · doi:10.2307/3172747 · Cited by 4,333
Hypoadiponectinemia in Obesity and Type 2 Diabetes: Close Association with Insulin Resistance and Hyperinsulinemia
Weyer, C., Funahashi, T., Tanaka, S., Hotta, K., Matsuzawa, Y., Pratley, R. E., & Tataranni, P. A. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.5.7463 · Cited by 3,541
A preprandial rise in plasma ghrelin levels suggests a role in meal initiation in humans
Cummings, D. E., Purnell, J. Q., Frayo, R. S., Schmidova, K., Wisse, B. E., & Weigle, D. S. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1714 · Cited by 2,940
Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: Studies in subjects with various degrees of glucose tolerance and insulin sensitivity
Bonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., Monauni, T., & Muggeo, M. (2000) · Diabetes Care · doi:10.2337/diacare.23.1.57 · Cited by 2,456
A questionnaire for the assessment of leisure time physical activities
Taylor, H. L., Jacobs, D. R., Schucker, B., Knudsen, J., Leon, A. S., & Debacker, G. (1978) · Journal of Chronic Diseases · doi:10.1016/0021-9681(78)90058-9 · Cited by 1,848
The metabolically obese, normal-weight individual revisited.
Ruderman, N., Chisholm, D., Pi-Sunyer, X., & Schneider, S. (1998) · Diabetes · doi:10.2337/diabetes.47.5.699 · Cited by 893
Abdominal Fat and Insulin Resistance in Normal and Overweight Women: Direct Measurements Reveal a Strong Relationship in Subjects at Both Low and High Risk of NIDDM
Carey, D., Jenkins, A. B., Campbell, L. V., Freund, J., & Chisholm, D. J. (1996) · Diabetes · doi:10.2337/diab.45.5.633 · Cited by 659
Effects of weight loss on regional fat distribution and insulin sensitivity in obesity.
Goodpaster, B. H., Kelley, D. E., Wing, R. R., Meier, A., & Thaete, F. L. (1999) · Diabetes · doi:10.2337/diabetes.48.4.839 · Cited by 608
Plasma resistin, adiponectin and leptin levels in lean and obese subjects: correlations with insulin resistance
Silha, J. V., Kršek, M., Škrha, J., Sucharda, P., Nyomba, B. L. G., & Murphy, L. (2003) · European Journal of Endocrinology · doi:10.1530/eje.0.1490331 · Cited by 595
The “metabolically-obese,” normal-weight individual
Ruderman, N. B., Schneider, S. H., & Berchtold, P. (1981) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/34.8.1617 · Cited by 545
Assessment of Energy Expenditure and Fuel Utilization in Man
Jéquier, E., Acheson, K. J., & Schütz, Y. (1987) · Annual Review of Nutrition · doi:10.1146/annurev.nu.07.070187.001155 · Cited by 532
Low Plasma Ghrelin Is Associated With Insulin Resistance, Hypertension, and the Prevalence of Type 2 Diabetes
Pöykkö, S. M., Kellokoski, E., Hörkkö, S., Kauma, H., Kesäniemi, Y. A., & Ukkola, O. H. (2003) · Diabetes · doi:10.2337/diabetes.52.10.2546 · Cited by 529
Correlation of the adipocyte-derived protein adiponectin with insulin resistance index and serum high-density lipoprotein-cholesterol, independent of body mass index, in the Japanese population
YAMAMOTO, Y., Hirose, H., Saito, I., Tomita, M., Taniyama, M., Matsubara, K., Okazaki, Y., Ishii, T., Nishikai, K., & Saruta, T. (2002) · Clinical Science · doi:10.1042/cs1030137 · Cited by 490
Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas.
Emoto, M., Nishizawa, Y., Maekawa, K., Hiura, Y., Kanda, H., Kawagishi, T., Shoji, T., Okuno, Y., & Morii, H. (1999) · Diabetes Care · doi:10.2337/diacare.22.5.818 · Cited by 457
Temporal trends in overweight and obesity in Canada, 1981–1996
Tremblay, M., Katzmarzyk, P. T., & Willms, J. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0801923 · Cited by 445
Anthropometrica : a textbook of body measurement for sports and health courses
Norton, K. I., & Olds, T. (1996) · Medical Entomology and Zoology · Cited by 371
A comparison of the validity of three scales for the assessment of dietary restraint.
Laessle, R. G., Tuschl, R. J., Kotthaus, B. C., & Prike, K. M. (1989) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.98.4.504 · Cited by 371
Peripheral ghrelin selectively increases Fos expression in neuropeptide Y – synthesizing neurons in mouse hypothalamic arcuate nucleus
Wang, L., Saint-Pierre, D. H., & Taché, Y. (2002) · Neuroscience Letters · doi:10.1016/s0304-3940(02)00241-0 · Cited by 334
Fasting respiratory exchange ratio and resting metabolic rate as predictors of weight gain: the Baltimore Longitudinal Study on Aging.
Seidell, J. C., Muller, D. C., Sorkin, J. D., & Andres, R. (1992) · PubMed · Cited by 321
Hypoadiponectinemia is associated with visceral fat accumulation and insulin resistance in Japanese men with type 2 diabetes mellitus
Yatagai, T., Nagasaka, S., Taniguchi, A., Fukushima, M., Nakamura, T., Kuroe, A., Nakai, Y., & Ishibashi, S. (2003) · Metabolism · doi:10.1016/s0026-0495(03)00195-1 · Cited by 315
A comparison of the validity of three scales for the assessment of dietary restraint.
Laessle, R. G., Tuschl, R. J., Kotthaus, B. C., et al. (1989) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.98.4.504 · Cited by 305
Meta-analysis of resting metabolic rate in formerly obese subjects
Astrup, A., Gøtzsche, P. C., van de Werken, K., Ranneries, C., Toubro, S., Raben, A., & Buemann, B. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.6.1117 · Cited by 296
Ghrelin Levels Correlate with Insulin Levels, Insulin Resistance, and High-Density Lipoprotein Cholesterol, But Not with Gender, Menopausal Status, or Cortisol Levels in Humans
Purnell, J. Q., Weigle, D. S., Breen, P. A., & Cummings, D. E. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030513 · Cited by 275
Young Men With High-Normal Blood Pressure Have Lower Serum Adiponectin, Smaller LDL Size, and Higher Elevated Heart Rate Than Those With Optimal Blood Pressure
Kazumi, T., Kawaguchi, A. T., Sakai, K., Hirano, T., & Yoshino, G. (2002) · Diabetes Care · doi:10.2337/diacare.25.6.971 · Cited by 274
Comparison of insulin sensitivity tests across a range of glucose tolerance from normal to diabetes
Hermans, M. P., Lévy, J., Morris, R. J., & Turner, R. C. (1999) · Diabetologia · doi:10.1007/s001250051215 · Cited by 262
Phenotypic characteristics associated with insulin resistance in metabolically obese but normal-weight young women.
Dvorak, R. V., DeNino, W. F., Ades, P. A., & Poehlman, E. T. (1999) · Diabetes · doi:10.2337/diabetes.48.11.2210 · Cited by 243
Increased Visceral Fat and Serum Levels of Triglyceride Are Associated With Insulin Resistance in Japanese Metabolically Obese, Normal Weight Subjects With Normal Glucose Tolerance
Katsuki, A., Sumida, Y., Urakawa, H., Gabazza, E. C., Murashima, S., Maruyama, N., Morioka, K., Nakatani, K., Yano, Y., & Adachi, Y. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2341 · Cited by 236
Hypoadiponectinemia Is Associated with Insulin Resistance, Hypertriglyceridemia, and Fat Redistribution in Human Immunodeficiency Virus-Infected Patients Treated with Highly Active Antiretroviral Therapy
Addy, C., Gavrila, A., Tsiodras, S., Brodovicz, K. G., Karchmer, A. W., & Mantzoros, C. S. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-020795 · Cited by 218
Quantitative Insulin Sensitivity Check Index and the Reciprocal Index of Homeostasis Model Assessment in Normal Range Weight and Moderately Obese Type 2 Diabetic Patients
Yokoyama, H., Emoto, M., Fujiwara, S., Motoyama, K., Morioka, T., Komatsu, M., Tahara, H., Shoji, T., Okuno, Y., & Nishizawà, Y. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2426 · Cited by 213
The Canadian obesity epidemic, 1985-1998.
Katzmarzyk, P. T. (2002) · PubMed · Cited by 184
Obesity: epidemiology and possible prevention
Caterson, I. D., & Gill, T. P. (2002) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1053/beem.2002.0228 · Cited by 152
Modified Quantitative Insulin Sensitivity Check Index Is Better Correlated to Hyperinsulinemic Glucose Clamp than Other Fasting-Based Index of Insulin Sensitivity in Different Insulin-Resistant States
RABASA-LHORET, R. P. R., Bastard, J., Jan, V., Ducluzeau, P., Andréelli, F., Guebre‐Egziabher, F., Bruzeau, J., Louche‐Pélissier, C., Maitrepierre, C., Peyrat, J., et al. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2002-030316 · Cited by 151
Self-citation
Leptin in the CNS: much more than a satiety signal
Harvey, J., & Ashford, M. L. J. (2003) · Neuropharmacology · doi:10.1016/s0028-3908(03)00076-5 · Cited by 132
White Adipose Tissue: Getting Nervous
Fliers, E., Kreier, F., Voshol, P. J., Havekes, L. M., Sauerwein, H. P., Kalsbeek, A., Buijs, R. M., & Romijn, J. A. (2003) · Journal of Neuroendocrinology · doi:10.1046/j.1365-2826.2003.01096.x · Cited by 114
Cognitive dietary restraint is associated with higher urinary cortisol excretion in healthy premenopausal women
McLean, J. A., Barr, S. I., & Prior, J. C. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.1.7 · Cited by 106
Metabolic predictors of obesity: cross-sectional versus longitudinal data.
Ravussin, É., & Swinburn, B. A. (1993) · PubMed · Cited by 105
The Canadian Nutrient File.
Verdier, P., & Beare-Rogers, J. L. (1984) · PubMed · Cited by 101
Association of leptin and hunger-satiety ratings in obese women
Af, H., Lara‐Castro, C., Kirk, K. A., Considine, R. V., Caro, J. F., & Weinsier, R. L. (1998) · International Journal of Obesity · doi:10.1038/sj.ijo.0800731 · Cited by 87
Self-reported dietary restraint is associated with elevated levels of salivary cortisol
Anderson, D. A., Shapiro, J. R., Lundgren, J. D., Spataro, L. E., & Frye, C. A. (2002) · Appetite · doi:10.1006/appe.2001.0459 · Cited by 85
Obesity-associated disorders in normal-weight individuals: some speculations.
Ruderman, N. B., Berchtold, P., & Schneider, S. H. (1982) · PubMed · Cited by 79
Body fat distribution and cardiovascular risk in normal weight women. Associations with insulin resistance, lipids and plasma leptin
Tai, E., Lau, T., Ho, S., Fok, A. C. K., & Tan, C. (2000) · International Journal of Obesity · doi:10.1038/sj.ijo.0801220 · Cited by 78
Palatability and dietary restraint: Effect on cephalic phase insulin release in women
Teff, K. L., & Engelman, K. (1996) · Physiology & Behavior · doi:10.1016/s0031-9384(96)80033-3 · Cited by 75
Moderate physical activity permits acute coupling between serum leptin and appetite–satiety measures in obese women
Tsofliou, F., Pitsiladis, Y. P., Malkova, D., Wallace, A. M., & Lean, M. E. J. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.0802406 · Cited by 65
Ghrelin: A Novel Player in the Gut-Brain Regulation of Growth Hormone and Energy Balance
St-Pierre, D. H., Wang, L., & Taché, Y. (2003) · Physiology · doi:10.1152/nips.01460.2003 · Cited by 63
Self-citation
Dietary restraint and responsiveness to sensory-based food cues as measured by cephalic phase salivation and sensory specific satiety
Tepper, B. J. (1992) · Physiology & Behavior · doi:10.1016/0031-9384(92)90276-8 · Cited by 60
Decreased plasma adiponectin concentrations in nondiabetic women with elevated homeostasis model assessment ratios
Matsubara, M., Katayose, S., & Maruoka, S. (2003) · European Journal of Endocrinology · doi:10.1530/eje.0.1480343 · Cited by 59
Independent Influences of Central Fat and Skeletal Muscle Lipids on Insulin Sensitivity
Furler, S. M., Poynten, A. M., Kriketos, A. D., Lowy, A. J., Ellis, B. A., Maclean, E., Courtenay, B. G., Kraegen, E. W., Campbell, L. V., & Chisholm, D. J. (2001) · Obesity Research · doi:10.1038/oby.2001.70 · Cited by 53
Endocrine findings in restrained eaters
Pirke, K. M., Tuschl, R. J., Spyra, B., Laessle, R. G., Schweiger, U., Broocks, A., Sambauer, S., & Zitzelsberger, G. (1990) · Physiology & Behavior · doi:10.1016/0031-9384(90)90017-x · Cited by 44
Dvorak RV, DeNino WF, Ades PA, Poehlman ET. Phenotypic characteristics associated with insulin resistance in metabolically obese but normal-weight young women. Diabetes 48: 2210-2214
Dvořák, R., DeNino, W. F., Ades, P. A., Ades, P., & Poehlman, É. T. (1999) · Cited by 40
Adiposity, insulin and lipid metabolism in post-menopausal women
Lovegrove, J. A., Silva, K., Wright, J., & Williams, C. M. (2002) · International Journal of Obesity · doi:10.1038/sj.ijo.0801963 · Cited by 33
Serum Leptin Concentrations in Young Insulin-Sensitive and Insulin-Resistant Volunteers
González-Ortı́z, M., Martínez‐Abundis, E., & Balcázar-Muñoz, B. R. (2000) · Hormone and Metabolic Research · doi:10.1055/s-2007-978635 · Cited by 5

Flagged first, then by citations

Research works printed but not linked: 1

Ancelle, 2002, Statistique—épidémiologie, collection sciences fondamentales, Paris,, France, Maloine

Sorted by citations

AASLD practice guidance on the clinical assessment and management of nonalcoholic fatty liver disease
Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667
The Obese Without Cardiometabolic Risk Factor Clustering and the Normal Weight With Cardiometabolic Risk Factor Clustering: Prevalence and Correlates of 2 Phenotypes Among the US Population (NHANES 1999-2004)
Wildman, R. P. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.15.1617 · Cited by 1,618
The Concept of Normal Weight Obesity
Oliveros, E., Somers, V. K., Sochor, O., Goel, K., & López-Jiménez, F. A. (2013) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.10.003 · Cited by 628
Metabolically Healthy Obesity and Risk of All-Cause and Cardiovascular Disease Mortality
Hamer, M., & Stamatakis, E. A. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-3475 · Cited by 565
Mechanisms of Obesity-Induced Inflammation and Insulin Resistance: Insights into the Emerging Role of Nutritional Strategies
McArdle, M. A., Finucane, O. M., Connaughton, R. M., McMorrow, A. M., & Roche, H. M. (2013) · Frontiers in Endocrinology · doi:10.3389/fendo.2013.00052 · Cited by 552

See all 215

Authors: Conus, F., Allison, D. B., Rabasa-Lhoret, R., St-Onge, M., St-Pierre, D. H., Tremblay-Lebeau, A., & Poehlman, E. T.
Affiliations: Université de Montréal (CA)
University of Alabama at Birmingham (US)
Unité Metabolique (F.C., R.R.-L., M.S.-O., D.H.S.-P., A.T.-L.), Département de Nutrition, Faculté de Médecine, Université de Montréal, Montréal, Québec H3T 1A8, Canada
Scriptus Medicus (E.T.P.), Montréal, Québec H2L 3R8, Canada
Corresponding author: Conus, Florence
ORCID: Allison, David B.
Venue: The Journal of Clinical Endocrinology & Metabolism
Publisher: The Endocrine Society
Published: 2004-10-01
Volume: 89
Issue: 10
Pages: 5013-5020
ISSN: 0021-972X (ISSN-L)
1945-7197
DOI: 10.1210/jc.2004-0265
OpenAlex: W2164648624
Cited by: 215
References: 57
Citations by year: 2026: 3 · 2025: 3 · 2024: 5 · 2023: 10 · 2022: 12 · 2021: 10 · 2020: 10 · 2019: 10 · 2018: 7 · 2017: 8 · 2016: 14 · 2015: 18 · 2014: 18 · 2013: 11 · 2012: 19
FWCI: 2.69
Type: journal article
Language: en
Open access: closed
Locations: The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Keywords: insulin sensitivity, metabolic syndrome, young women, body fat percentage, fat-free mass, physical activity energy expenditure, peak oxygen uptake, dietary restraint, ghrelin, leptin, adiponectin, serum cholesterol, sedentary behavior, dietary behavior, HOMA
MeSH terms: Adolescent, Adult, Body Weight, Energy Intake, Cholesterol, Energy Metabolism, Female, Humans, Obesity, Risk Factors, Cohort Studies, Health Behavior, Body Mass Index, Multivariate Analysis, Leptin, Intercellular Signaling Peptides and Proteins, Peptide Hormones, Risk Reduction Behavior, Adiponectin, Ghrelin

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Metabolic and Behavioral Characteristics of Metabolically Obese but Normal-Weight Women

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks