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Causes, Characteristics, and Consequences of Metabolically Unhealthy Normal Weight in Humans
Open accessAbstract
A BMI in the normal range associates with a decreased risk of cardiometabolic disease and all-cause mortality. However, not all subjects in this BMI range have this low risk. Compared to people who are of normal weight and metabolically healthy, subjects who are of normal weight but metabolically unhealthy (∼20% of the normal weight adult population) have a greater than 3-fold higher risk of all-cause mortality and/or cardiovascular events. Here we address to what extent major risk phenotypes determine metabolic health in lean compared to overweight and obese people and provide support for the existence of a lipodystrophy-like phenotype in the general population. Furthermore, we highlight the molecular mechanisms that induce this phenotype. Finally, we propose strategies as to how this knowledge could be implemented in the prevention and treatment of cardiometabolic diseases in different stages of adiposity in routine clinical practice.
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“skeletal muscle insulin resistance, affecting most persons with obesity, contributes to reduced muscle mass and poor muscle quality-a phenomenon observed in sarcopenic obesity.18,19”
From Changes in lean body mass with glucagon‐like peptide ‐1‐based therapies and mitigation strategies (2024) · cites this paper as [18]
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Items 301–400 of 502
Effect of Bariatric Surgery on Serum Enzyme Status in Obese Patients
Guan, B.-S., Chen, Y.-Y., Chong, T.-H., Peng, J.-Z., Mak, T.-K., Wang, C.-C., & Yang, J.-G. (2020) · Obesity Surgery · doi:10.1007/s11695-020-04554-9 · Cited by 7
“In the literature, it was reported that fatty liver disease was found in about 70% of metabolically unhealthy obese patients, compared with less than 20% for normal weight patients [10].”
BackgroundSeyres, D., Cabassi, A., Lambourne, J. J., Burden, F., Farrow, S., McKinney, H., Batista, J., Kempster, C., Pietzner, M., Slingsby, O. C., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01257-z · Cited by 13
“The relationship between cardiometabolic health and body weight is complex [15].”
Kato, K., Otsuka, T., Saiki, Y., Kobayashi, N., Nakamura, T., Kon, Y., & Kawada, T. (2019) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-0869-7584 · Cited by 8
“Thus, although we could not assess other potential risk factors, such as non-alcoholic fatty liver disease, visceral obesity, carotid intima-media thickness, or insulin resistance, [23], it is possible that our subjects had metabolically unhealthy phenotypes.”
BackgroundPatwari, P., Batra, N., Sen, K., Saha, A., Kumari, B., Basu, M., Mitra, S., Das, K., Kamilya, G., Baidya, A., et al. (2025) · Clinical Endocrinology · doi:10.1111/cen.15302 · Cited by 6
Anand, S., Pasupneti, T., Pak, Y., Kalangi, S. T., & Garg, R. (2025) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2025-005118 · Cited by 6
Physical activity, cardiovascular disease, and mortality across obesity levels
Tian, Q., Chen, S., Liu, S., Li, Y., Wu, S., & Wang, Y. (2025) · The EPMA Journal · doi:10.1007/s13167-025-00397-5 · Cited by 6
The Role of Obesity and Inflammation in Breast Cancer Recurrence
Chew, S. M., Liu, B., Shen, S., & Iyengar, N. M. (2024) · Current Breast Cancer Reports · doi:10.1007/s12609-024-00550-5 · Cited by 6
Tirani, S. A., Lotfi, K., Shahdadian, F., Hajhashemy, Z., Rouhani, P., & Saneei, P. (2024) · Current Developments in Nutrition · doi:10.1016/j.cdnut.2024.102103 · Cited by 6
“Previous studies have also demonstrated that normal-weight individuals with unfavorable metabolic health status, known as metabolically unhealthy (MU) normal-weight (MUNW), have higher risk of developing NCDs than metabolically healthy normal-weight (MHNW) individuals [4,5].”
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“Additionally, a high risk of cardiometabolic disorders has been reported in normal-weight individuals with a metabolically unhealthy (MU) profile 5,6 .”
BackgroundMetabolically healthy obesity: it is time to consider its dynamic changes
Cho, Y. K., & Jung, C. H. (2022) · Cardiovascular Prevention and Pharmacotherapy · doi:10.36011/cpp.2022.4.e19 · Cited by 5
“This phenotype is also characterized by decreased insulin secretion capacity and increased insulin resistance, as well as poor cardiorespiratory fitness and carotid atherosclerosis [78].”
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Chu, S.-C., Wang, P.-H., Lu, K., Ko, C.-C., She, Y.-H., Lee, C., Wu, I., Sun, C., Hsu, H.-J., & Pan, H. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.895787 · Cited by 6
“also reported an association between MUOW with high visceral fat tissue and liver fat accumulation, which may further increase the risk of metabolic dysfunction and renal impairment (28).”
BackgroundSerum Fibroblast Growth Factor 23 Level and Liver Fat Content in MAFLD: A Community-Based Cohort
Cao, W., Xu, Y., Shen, Y., Wang, Y., Ma, X., & Bao, Y. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s328206 · Cited by 7
“Increased liver fat content is closely related to insulin resistance, obesity, diabetes, and other metabolic dysfunctions.(31,32) It is generally considered that magnetic resonance spectroscopy (MRS) is the best noninvasive way to detect liver fat content.”
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“This would change the initial diagnosis of the child and would result in a decrease in the treatment costs of the whole biochemical analysis by only obtaining the RIAO level instead of 22 other variables, and it would indicate whether obesity is associated with a metabolic syndrome or not [5,6].”
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“13 This finding indicates that metabolic obesity may be an indicator that can be used to prevent some chronic disease epidemics.”
Genetic predisposition to higher body fat yet lower cardiometabolic risk in children and adolescents
Viitasalo, A., Schnurr, T., Pitkänen, N., Hollensted, M., Nielsen, T. R. H., Pahkala, K., Lintu, N., Lind, M. V., Atalay, M., Frithioff-Bøjsøe, C., et al. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0414-0 · Cited by 6
From Metabolically Healthy to Unhealthy Obesity Through Low-Grade Inflammation
Voznesenskaya, А. А., Sorokina, A., Shestakova, M., Shestakova, E. A., Minniakhmetov, I. R., Ivanova, A., Rumyantsev, S., Mokrysheva, N. G., Chekhonin, V., & Loguinova, M. Y. (2026) · Biomedicines · doi:10.3390/biomedicines14051161 · Cited by 6
“In a large BMI-stratified cohort, Stefan N and colleagues [27] associated excessive hepatic and abdominal fat accumulation with MUO, whereas, in subcutaneous and predominantly lower extremities, fat accumulation was found to be associated with MHO.”
Fructose and follistatin potentiate acute MASLD during complete hepatic insulin resistance
Tao, R., Stöhr, O., Tok, O., Andrés-Hernando, A., Qiu, W., He, B., Wang, C., Grøntved, L., Burant, C., Hui, S. T., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-66296-5 · Cited by 6
“Consistently, a signi fi cant subset of lean adult subjects also develops MASLD and its life-threatening sequelae when triglycerides are poorly sequestered by insuf fi cient or insulin-resistant WAT, integrating partial lipodystrophy with hepatic steatosis 41,46,102,103 .”
Self-citationLi, X., Wang, S., Sun, L., Sun, Z.-W., Xu, Y., Ren, J., Yu, H.-Y., Han, X., & Bai, W.-K. (2025) · Obesity Surgery · doi:10.1007/s11695-025-08004-2 · Cited by 5
“…demonstrates elevated expression of genes related to inflammation, oxidative stress, and cytokine production [21, 22] and is more likely to release fatty acids into the blood, leading to metabolic disorders such as hypercholesterolemia and insulin resistance, and early endothelial dysfunction [23].”
Evaluation of Type 2 Diabetes Risk in Individuals With or Without Metabolically Healthy Obesity
Samuelsson, M. G., López, P. J. T., López‐González, Á. A., Busquets-Cortés, C., de Hevia, J. O., & Ramírez‐Manent, J. I. (2025) · Biology · doi:10.3390/biology14060608 · Cited by 5
“Numerous cohort studies have indicated that while MHO individuals exhibit a lower risk of T2DM and CVD relative to MUO individuals, their risk remains significantly elevated compared to metabolically healthy individuals of normal weight [28–30].”
Giannakopoulou, S., Barkas, F., Chrysohoou, C. A., Liberopoulos, E. N., Sfikakis, P. P., Pitsavos, C., Tsioufis, C., & Panagiotakos, D. B. (2025) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2025.02.007 · Cited by 6
Defining obesity in the context of cancer: thinking beyond body mass index
Gulati, S., & Murphy, W. J. (2025) · Trends in cancer · doi:10.1016/j.trecan.2025.01.009 · Cited by 6
Chen, Z., Chen, L., Tan, J., Mao, Y., Hao, M., Li, Y., Wáng, Y., Li, J., Wang, J., Li, J., et al. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.06.005 · Cited by 5
Zhang, N., & Wang, G. (2023) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s431194 · Cited by 4
“In a large BMI-stratified cohort, Stefan et al 26,27 found that high liver fat content and visceral fat were associated with MuHO, while the MHO phenotype was associated with higher insulin sensitivity, better insulin secretion, good cardiorespiratory function, and lower subcutaneous fat mass. 28,29 We compared the gl…”
BackgroundNon-alcoholic fatty liver disease is associated with an increased risk of type 2 diabetes
Loosen, S. H., Krieg, S., Krieg, A. H., Qvartskhava, N., Luedde, T., Kostev, K., & Roderburg, C. (2023) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0000000000002555 · Cited by 7
Biological BMI uncovers hidden health risks and is more responsive to lifestyle shifts
(2023) · Nature Medicine · doi:10.1038/s41591-023-02283-x · Cited by 5
Body Fat Distribution in Lean Individuals with Metabolic Abnormalities
Valderrábano, R. J., Badour, S., Ferri‐Guerra, J., Barb, D., & Garg, R. (2022) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2022.0026 · Cited by 5
“19 MetS prevalence in general population is influenced by a number of factors including ethnicity and socioeconomic status and reported to be also * 20%.”
Cui, B., Li, W., Wang, G., Li, P., Zhu, L., & Zhu, S. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1068917 · Cited by 5
“while these two phenotypes share centripetal characteristics of fat distribution (29).”
BackgroundLugarà, R., Renner, S., Wolf, E., Liesegang, A., Bruckmaier, R. M., & Giller, K. (2022) · Nutrients · doi:10.3390/nu14173574 · Cited by 7
“The LMS patients have a normal BW and VAT proportion but still show two or more characteristics of the metabolic syndrome [46,47].”
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“This condition, “metabolically obese normal-weight” (MONW), has been found to be associated with higher risk of cardiovascular events than that in adults with obesity but a metabolically healthy status (2).”
BackgroundTian, Q., Wang, B.-Y., Chen, S.-H., Wu, S.-L., & Wang, Y.-X. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-021-03212-7 · Cited by 5
“A possible fat distribution of participants with MHO or MHOW is a high percentage of gluteofemoral and leg fat mass other than accumulation of visceral fat [48].”
BackgroundNon-alcoholic fatty liver disease in polycystic ovarian syndrome in Indian women
Siwatch, S., Singh, V., Dhaliwal, L., Kumari, S., & Singh, K. (2021) · Journal of Obstetrics and Gynaecology Research · doi:10.1080/01443615.2021.1969346 · Cited by 5
Phosphoprotein enriched in astrocytes (PEA)-15 is a novel regulator of adipose tissue expansion
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Obesity and Risk of COVID-19 Infection and Severity: Available Evidence and Mechanisms
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“In fact, BMI and WC frequently overlook subtleties in the distribution of body fat (16, 17).”
High Risk of Metabolic Dysfunction in Nonobese Breast Cancer Survivors
da Silva-Filho, P. P. P., Buttros, D. D. A. B., Buttros, L. D. A. B., Esperança, G., Gubolino, P. L. F., Pessoa, E. C., Véspoli, H. D. L., & Nahás, E. A. P. (2025) · Clinical Breast Cancer · doi:10.1016/j.clbc.2025.01.009 · Cited by 4
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“Also noteworthy is that while this study is consistent with the bulk of the literature, most of the evidence in this area is cross-sectional [29-36] or provides Table 1.”
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“[11-13] Similarly, few studies have investigated the life course epidemiology of poor metabolic health among non-obese individuals.[14] It may be hypothesised that metabolically unhealthy overweight/obese (MUOO) and metabolically unhealthy normal weight (MUNW) individuals have experienced greater exposure to the adver…”
BackgroundManyara, A. M., Mwaniki, E., Gray, C. M., & Gill, J. M. R. (2021) · Tropical Medicine & International Health · doi:10.1111/tmi.13629 · Cited by 7
“A metabolic unhealthy normal weight profile has been associated with increased central obesity, reduced cardiorespiratory fitness, increased insulin resistance and reduced insulin secretion capacity which consequently increases T2D risk [10].”
BackgroundPerspective: Poor metabolic health is a major issue for increased COVID-19 mortality in BAME groups
Malhotra, A., Kamepalli, R., & Bamrah, J. (2020) · The Physician · doi:10.38192/1.6.2.4 · Cited by 4
Hyperglycemia and periodontitis: Possible mechanisms of interaction
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Pharmacological treatment of MASH
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“Most individuals with lean MASLD are metabolically unhealthy and have insulin resistance, characterised by a lipodystrophy-like phenotype, primarily driven by low gluteofemoral and leg fat mass [27], which is an independent determinant of cardiometabolic risk [28].”
Self-citationMetabolomic and lifestyle profiles refine BMI-metabolic phenotypes in older adults
Chen, Y., Huang, H., Xu, W., Zhang, W., Wang, Y., Cao, L., Zhao, H., Zhang, Z., Xu, Y., Yuan, A., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102907 · Cited by 3
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“Even those with normal or low body weight index (BMI) may harbor adverse metabolic profiles that heighten cardio-vascular risk, a vulnerability often linked to latent insulin resistance (IR) and loss of skeletal muscle mass [3].”
Sotiropoulou, M. G., Katsaros, I., Vailas, M. G., Papachristou, F., Papakyriakopoulou, P., Kostomitsopoulos, N. G., Giatromanolaki, A. N., Valsami, G. N., Tsaroucha, A. K., & Schizas, D. (2025) · Life · doi:10.3390/life15101523 · Cited by 3
“Sedentary behaviors, insufficient physical activity, and unhealthy dietary patterns are key contributors to metabolic dysfunction and the rising prevalence of this condition [8].”
Cai, N., Zhang, L., Ding, S., Tian, X., Mo, L., & Yu, B. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1617929 · Cited by 3
“Studies show that the fat distribution characteristics of MUNW individuals differ from those of MUOO individuals, with a notable feature being lower lower-body fat in MUNW individuals (37).”
Liu, Q., Wang, F., Huang, L., Zhao, X., Wei, X., Yu, X., Zheng, Y., Xiao, J., Xue, J., Feng, Y., et al. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16613 · Cited by 6
“50 Although our analyses did not find significant differences in CF progression compared with MHNW individuals, the consistent HRs observed in both primary and sensitivity analyses suggest that MUNW individuals may still be at risk.”
Cardiometabolic characteristics of school-aged children born preterm with very low birth weight
Fernandes, R. O., dos Santos, V. B., Saalfeld, R. M., EVARISTO, A. S., Bernardi, J. R., Rovedder, P. M. E., Nuyt, A. M., Luu, T. M., Procianoy, R. S., & Silveira, R. C. (2025) · Pediatric Research · doi:10.1038/s41390-025-04253-0 · Cited by 3
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“23,24 However, the association between weight change and dyslipidemia in non-obese young adults has not been well-studied.”
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Cardiometabolic health profile of young girls with aesthetic professions
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“[72] as a combination of at least two predisposing parameters for metabolic syndrome (UG: 5, MG: 4, BG: 2, AG: 1).”
BackgroundCabriales, E. C. G., Rodríguez-Ayala, E., Laviada‐Molina, H., Nava‐González, E. J., Salinas-Osornio, R. A., Orozco, L., Leal‐Berumen, I., Castillo-Pineda, J. C., Gonzalez-Lopez, L., Escudero‐Lourdes, C., et al. (2021) · Biology · doi:10.3390/biology10121342 · Cited by 4
“This was based on the number of metabolic syndrome parameters present and an assessment of insulin sensitivity (using the Matsuda index score [29]) and LGCSI [30] as determined by hsCRP levels [4,31,32] (Figure 1).”
BackgroundMethodPostprandial Dynamics of Proglucagon Cleavage Products and Their Relation to Metabolic Health
Wagner, R. J., Eckstein, S. S., Fritsche, L., Prystupa, K., Hörber, S., Häring, H., Birkenfeld, A. L., Peter, A., Fritsche, A., & Heni, M. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.892677 · Cited by 3
Self-citationAssociation between obesity profile and non-alcoholic fatty liver by race/ethnicity
Martin, G., Schrode, K., & Shaheen, M. A. (2021) · Annals of Clinical Endocrinology and Metabolism · doi:10.29328/journal.acem.1001017 · Cited by 3
“On the other hand, in studies of non-obese subjects, increases in the number of diagnosed metabolic components corresponded with increased prevalence of NAFLD [15,16].”
BackgroundNeues zur nichtalkoholischen Steatohepatitis
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“Although BMI within a normal range has been reported to be associated with a reduced risk of cardiometabolic diseases and allcause mortality, not all individuals in this BMI range have similarly low risk and metabolically unhealthy phenotypes may be already present in normal weight people.(19) Previous studies suggest…”
The genetic underpinnings of body fat distribution
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NAFLD and Insulin Resistance: A Multisystemic Disease
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Consensus Interdisciplinary Positions of the Metabolic Syndrome Supervisory Committee
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“Although it may initially appear paradoxical, the observation that glycemia, lower BMI, and higher tri-glyceride levels are independent risk factors for SIA in women suggests a lean but metabolically unhealthy high-risk phenotype (31).”
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“A distinct sub-population exists that possesses a normal BMI (18.5–24.9 kg/m 2 ) but exhibits a clustering of metabolic abnormalities typically associated with obesity—a condition termed “Metabolically Unhealthy Normal Weight” (MUNW) [3,5,6].”
InfluentialHuang, Z.-H., Gao, Y.-T., Liu, L., Li, M., & Yuan, Q.-H. (2026) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2026.113093 · Cited by 2
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“When compared to MHNW, individuals with MUNW face more than three times the risk of mortality or cardiovascular incidents [7].”
Alshadfan, H., Mirghani, H. O., Alrasheed, T., & Abdullah, M. N. H. (2025) · Journal of Taibah University Medical Sciences · doi:10.1016/j.jtumed.2025.11.005 · Cited by 1
Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018
Zheng, J., Mao, W., Sang, M., Pan, X.-Y., Xie, Y.-L., & Xie, Y. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1617419 · Cited by 2
Yang, M., Xu, Q., Huang, L., & Zhu, L. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1544796 · Cited by 2
Song, K., Kwon, Y., Lee, E. J., Lee, H. S., Youn, Y. H., Baik, S. J., Lee, H., Kim, J. Y., Choi, Y., & Chae, H. W. (2025) · Internal and Emergency Medicine · doi:10.1007/s11739-025-03880-z · Cited by 2
“Thus, obesity-related comorbidities can be underdiagnosed in metabolically unhealthy individuals with normal BMI [29].”
Sui, J., Wu, B., Zheng, Y.-G., Mo, Z., Dong, Q.-Y., Ðoàn, L. N., Yi, S. S., & Qi, X. (2024) · Obesity Medicine · doi:10.1016/j.obmed.2024.100573 · Cited by 2
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Gumilang, R. A., Fan, Y., Wu, S.-H., & Bai, C. (2024) · BMC Cardiovascular Disorders · doi:10.1186/s12872-024-03817-y · Cited by 2
“Additionally, adiposity’s crucial role in identifying individuals who transition from metabolically healthy to metabolically unhealthy has also been highlighted [17–20].”
BackgroundMiles, T. K., Allensworth‐James, M. L., Odle, A. K., Moreira, A. R. S., Haney, A. C., Lagasse, A., Gies, A. J., Byrum, S. D., Riojas, A. M., MacNicol, M. C., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1332959 · Cited by 4
Seo, M.-W., Lee, J. M., & Jung, H. C. (2023) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2023.03.002 · Cited by 2
Cardiovascular risk factors in metalworking industry workers
Zaikina, I. V., Komleva, N. E., Mazilov, S. I., Pozdnyakov, M. V., Raikin, S. S., Dolich, V. N., & Rajkova, S. V. (2023) · Hygiene and Sanitation · doi:10.47470/0016-9900-2022-101-12-1482-1487 · Cited by 2
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Moyo, G., Egal, A., & Oldewage-Theron, W. (2022) · South African Journal of Clinical Nutrition · doi:10.1080/16070658.2022.2061109 · Cited by 2
“predisposition to health issues, such as cardiovascular disease and diabetes in later life.(29) Low socioeconomic status during childhood is also associated with increased CVD risk in childhood, adolescence and adulthood.”
BackgroundNonalcoholic Fatty Liver Disease and Obesity
De, A., & Duseja, A. K. (2021) · Journal of Postgraduate Medicine Education and Research · doi:10.5005/jp-journals-10028-1430 · Cited by 2
Saikia, L., Dutta, P. P., Gogoi, D., Afzal, N. U., Manna, P., Law, D. S. N., Mandal, S., Gogoi, B., Gautam, M. K., & Sen, S. (2026) · Chemistry & Biodiversity · doi:10.1002/cbdv.71521 · Cited by 1
“…loss is a characteristic metabolic consequence of uncontrolled diabetes and is commonly associated with impaired glucose utilization, insulindeficiencyorresistance,enhancedlipolysis,andincreased proteolysis, resulting in excessive breakdown of adipose and muscle tissues to meet energy demands [44].”
Zhang, R., Liu, G., Cui, Q., Fang, D., Sun, Z., Chen, X., Zheng, R., Gao, Z., & Yuan, X. (2026) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.70278 · Cited by 1
Selçuk, K. T., & Arslan, S. (2026) · Postgraduate Medicine · doi:10.1080/00325481.2026.2683173 · Cited by 1
“However, obesity-related risk is heterogeneous, and phenotypes defined by the interaction between adiposity and metabolic health, including metabolically healthy obesity and MONW, differ substantially in their risk for type 2 diabetes and cardiovascular disease [37–39].”
Influential
Metadata
- Authors
- Stefan, N., Schick, F., & Häring, H.-U.
- Affiliations
- Helmholtz Munich (DE)
- Corresponding author
- Stefan, Norbert
- Häring, Hans-Ulrich
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 26
- Issue
- 2
- Pages
- 292-300
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2741982109
- Cited by
- 575
- References
- 0
- Citations by year
- 2026: 50 · 2025: 53 · 2024: 58 · 2023: 60 · 2022: 99 · 2021: 76 · 2020: 88 · 2019: 40 · 2018: 40 · 2017: 10
- FWCI
- 7.10
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Site cant be reached (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft (KFO 114, STE 1096/1-3)
- Bundesministerium für Bildung und Forschung
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- metabolically unhealthy normal weight, metabolic health, cardiometabolic disease, all-cause mortality, cardiovascular risk, adiposity, risk phenotypes, molecular mechanisms, disease prevention, treatment options
- MeSH terms
- Female, Heart Diseases, Humans, Male, Metabolic Diseases, Risk Factors, Body Mass Index, Adiposity
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