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Zhang L, Yin J, Sun H, Dong W, Liu Z, Yang J, Liu Y. The relationship between body roundness index and depression: A cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. J Affect Disord 2024; 361:17-23. [PMID: 38815765 DOI: 10.1016/j.jad.2024.05.153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 05/26/2024] [Accepted: 05/28/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Depression is linked to obesity. The body roundness index (BRI) provides a more accurate assessment of body and visceral fat levels than the body mass index or waist circumference. However, the association between BRI and depression is unclear. Therefore, we investigated this relationship using the National Health and Nutrition Examination Survey (NHANES) database. METHODS In this population-based cross-sectional study, data from 18,654 adults aged ≥20 years from the NHANES 2011-2018 were analyzed. Covariates, including age, gender, race/ethnicity, education level, marital status, poverty-income ratio, alcohol status, smoking status, hypertension, diabetes mellitus, cardiovascular disease, energy intake, physical activity, total cholesterol, and triglycerides were adjusted in multivariable logistic regression models. In addition, smooth curve fitting, subgroup analysis, and interaction testing were conducted. RESULTS After adjusting for covariates, BRI was positively correlated with depression. For each one-unit increase in BRI, the prevalence of depression increased by 8 % (odds ratio = 1.08, 95 % confidence interval = 1.05-1.10, P < 0.001). LIMITATIONS As this was a cross-sectional study, we could not determine a causal relationship between BRI and depression. Patients with depression in this study were not clinically diagnosed with major depressive disorder. CONCLUSION BRI levels were positively related to an increased prevalence of depression in American adults. BRI may serve as a simple anthropometric index to predict depression.
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Affiliation(s)
- Lu Zhang
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Chinese Medicine, Jinan, China
| | - Haiyang Sun
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Wenliang Dong
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zihui Liu
- Experimental Center, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiguo Yang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
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Aguirre C, Tumani MF, Carrasco F, Inostroza J, Obregón AM, Reyes Á, Pettinelli P. Relative fat mass as an estimator of body fat percentage in Chilean adults. Eur J Clin Nutr 2024; 78:782-787. [PMID: 38942896 DOI: 10.1038/s41430-024-01464-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND/OBJECTIVE The Relative Fat Mass (RFM) is an alternative index to body mass index (BMI) for estimating whole body fat percentage (BF%). Our aims were to determine the accuracy of the RFM for 1) identifying individuals with elevated BF% and, 2) estimating the BF% compared to Dual-energy X-ray absorptiometry (DXA) in a Chilean adult population. SUBJECTS/METHODS Body composition was assessed by DXA in 270 healthy participants (125 women/145 men). Anthropometric measurements were assessed to calculate RFM and BMI. Receiver operating characteristic (ROC) curves were obtained to assess the sensitivity and specificity of both, RFM and BMI. Bland-Altman analysis between BF% measured by DXA vs. predicted BF% derived from RFM was performed to assess validity. Pearson´s correlation coefficients to analyze the association between BMI, RFM and DXA were also calculated. RESULTS For RFM, the cut-off for elevated BF% was ≥22.7% for men and ≥32.4% for women and for BMI was ≥24.4 kg/m2 for men and ≥24.1 kg/m2 for women. The area under the ROC curve between RFM and BMI was not significantly different in men (0.970 vs. 0.959; p = 0.420) and women (0.946 vs. 0.942, p = 0.750). The Bland-Altman analysis showed that the estimation bias is more pronounced in men than in women. CONCLUSION RFM is an accurate tool for identifying individuals with elevated BF%, although it was not as accurate as DXA for estimating the BF%. RFM may be an alternative method useful in primary care to select individuals for lifestyle counseling and in research to select patients for epidemiological studies.
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Affiliation(s)
- Carolina Aguirre
- Departmento de Nutrición y Dietética, Escuela de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - María Fernanda Tumani
- Departmento de Nutrición y Dietética, Escuela de Ciencias de la Salud, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Fernando Carrasco
- Department of Nutrition, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile
| | - Jorge Inostroza
- Department of Nutrition, Faculty of Medicine, University of Chile, Independencia, Santiago, Chile
| | - Ana María Obregón
- Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Concepción, Chile
| | - Álvaro Reyes
- Exercise and Rehabilitation Sciences Laboratory, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Chile
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Carey FR, Harbertson J, Sharifian N, Boyko EJ, Rull RP. All-Cause Mortality Among United States Military Personnel: Findings from the Millennium Cohort Study, 2001-2021. Ann Epidemiol 2024:S1047-2797(24)00217-5. [PMID: 39214485 DOI: 10.1016/j.annepidem.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 08/02/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE The goal of this study was to estimate all-cause mortality among Operations Enduring Freedom, Iraqi Freedom, and New Dawn era service members and veterans and to identify protective and risk factors for mortality. METHODS Using 20 years of longitudinal data from the Millennium Cohort Study (2001-2021), sequential Cox proportional hazard models were conducted to examine blocks of demographic, military, and health-related characteristics associated with all-cause mortality among service members and veterans. RESULTS Among 201,619 participants, 3,806 (1.9%) were deceased by the end of the observation period, an age- and sex-adjusted incidence of 37.6 deaths per 100,000 person-years. Deployed service members had lower all-cause mortality risk than those who did not deploy. Personnel who experienced combat had higher mortality risk compared with those who did not in unadjusted models; this association was nonsignificant after accounting for health-related factors. Enlisted and Army personnel both had a higher mortality risk, while women and Hispanic individuals had a lower risk. Stressful life events, lower physical health related quality of life, problem drinking, and smoking were also associated with greater mortality risk. CONCLUSION These profiles may be useful for developing preventive education and intervention efforts in military and veteran populations to reduce premature mortality.
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Affiliation(s)
- Felicia R Carey
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA.
| | - Judith Harbertson
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA; Leidos, Inc., San Diego, CA, USA
| | - Neika Sharifian
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA; Leidos, Inc., San Diego, CA, USA
| | | | - Rudolph P Rull
- Deployment Health Research Department, Naval Health Research Center, San Diego, CA, USA
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Madiyeva MI, Aripov MA, Goncharov AY, Zholdasbekova RY. Outcomes of myocardial revascularization in patients with obesity and multivessel coronary artery disease. Egypt Heart J 2024; 76:114. [PMID: 39198363 PMCID: PMC11358579 DOI: 10.1186/s43044-024-00548-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 08/22/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND There is uncertainty regarding the best revascularization approach-whether coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI)-for obese patients suffering from multi-vessel coronary artery disease. RESULTS 406 patients with low and intermediate SYNTAX scores (SS) underwent PCI with drug-eluting stents (n = 200, 100 with SS ≤ 22, and 100 with SS 23-32) and CABG (n = 206, 100 with SS ≤ 22, and 106 with SS 23-32). Patients were also categorized by body mass index (BMI): normal weight (12%, 48 patients), overweight (41.6%, 169 patients), and obese (46.6%, 189 patients). The follow-up period averaged 9 ± 1.9 years. The endpoints of the study were as follows: major adverse cardiac and cerebrovascular events, a repeat revascularization, diminished left ventricular ejection fraction (LVEF), and high SS (≥ 33) observed over time. When comparing PCI and CABG in overweight individuals, the risk of myocardial infarction (MI) following PCI was greater than after CABG (Hazard Ratio [HR] 2.7, 95% Confidence Interval [CI] 1.1-6.7, p = 0.03). In patients with overweight and Class I obesity, CABG was associated with the risk of coronary atherosclerosis progression (SS ≥ 33) (HR 4.4, 95% CI 1.5-13, p = 0.009 and HR 4.9, 95% CI 1.9-12, p = 0.001, respectively); whereas PCI was connected with the likelihood of repeat revascularization (HR 2.7, 95% CI 1.6-4.55, p < 0.0001 and HR 2, 95% CI 1.3-3.1, p = 0.002, respectively). At the same time, for stented patients, Class III obesity was associated with the risk of repeat revascularization (HR 2.5, 95% CI 1.02-6, p = 0.044). CONCLUSION There were no significant weight-related impacts on long-term outcomes among patients who underwent surgery. Whereas in stented patients, Class III obesity was associated with the risk of repeat revascularization. When comparing PCI and CABG, for overweight and Class I obesity patients, CABG was associated with a likelihood of coronary atherosclerosis progression (SS ≥ 33), while PCI was linked to the risk of repeat revascularization. For overweight patients, CABG outperformed PCI in terms of the risk of MI. For other adverse events in patients of different weight categories, PCI and CABG did not reveal any significant benefits.
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Affiliation(s)
- Maira I Madiyeva
- Department of Emergency Cardiology, Pavlodar Regional Cardiology Center, 10/3 Tkacheva St, Pavlodar, 140000, Kazakhstan.
- Department of Therapy, Semey Medical University, Semey, Kazakhstan.
| | - Marat A Aripov
- Department of Interventional Cardiology, National Research Cardiac Surgery Center, Astana, Kazakhstan
| | - Alexey Y Goncharov
- Department of Interventional Cardiology, National Research Cardiac Surgery Center, Astana, Kazakhstan
| | - Rakhima Y Zholdasbekova
- Department of Emergency Cardiology, Pavlodar Regional Cardiology Center, 10/3 Tkacheva St, Pavlodar, 140000, Kazakhstan
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Bolden M, Davis XD, Sherwood ER, Bohannon JK, Caslin HL. Weight loss-induced adipose macrophage memory improves local Staphylococcus aureus clearance in male mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.03.606494. [PMID: 39211192 PMCID: PMC11361095 DOI: 10.1101/2024.08.03.606494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Different stimuli can induce innate immune memory to improve pathogen defense or worsen cardiometabolic disease. However, it is less clear if the same stimuli can induce both the protective and detrimental effects of innate immune memory. We previously showed that weight loss induces innate immune memory in adipose macrophages that correlates with worsened diabetes risk after weight regain. In this study, we investigated the effect of weight loss on macrophage cytokine production and overall survival in a mouse model of infection. Male C57Bl/6J mice were put on high-fat or low-fat diets over 18 weeks to induce weight gain or weight loss. Lean mice served as controls. All mice were then infected IV with 2.5×10^6 CFU Staphylococcus aureus . Tissues were collected from 10 mice/group at day 3 and the remaining animals were followed for survival. Weight gain mice had the highest blood neutrophils and the highest bacterial burden in the kidney. However, there was no significant difference in survival. The weight loss group had the highest plasma TNF-α and a significant reduction in bacterial burden in the adipose tissue that correlated with increased adipose macrophage cytokine production. Thus, weight loss-induced adipose macrophage memory may both improve local S.aureus clearance and worsen diabetes risk upon weight regain. Collectively, these findings support the notion that innate immune memory is an evolutionarily protective mechanism that also contributes to the development of cardiometabolic diseases.
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Kujawowicz K, Mirończuk-Chodakowska I, Cyuńczyk M, Witkowska AM. Identifying Malnutrition Risk in the Elderly: A Single- and Multi-Parameter Approach. Nutrients 2024; 16:2537. [PMID: 39125416 PMCID: PMC11314023 DOI: 10.3390/nu16152537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 07/23/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
Malnutrition is a significant concern affecting the elderly, necessitating a complex assessment. This study aims to deepen the understanding of factors associated with the assessment of malnutrition in the elderly by comparing single- and multi-parameter approaches. In this cross-sectional study, 154 individuals underwent a comprehensive geriatric assessment (CGA). Malnutrition risk was determined using the mini nutritional assessment (MNA). Additional factors assessed included sarcopenia, polypharmacy, depression, appetite, handgrip strength, and gait speed. Phase angle (PA) and body composition were measured using bioelectrical impedance analysis (BIA). The MNA identified a malnutrition risk in 36.8% of individuals. The geriatric depression scale (GDS) and PA demonstrated moderate effectiveness in assessing malnutrition risk, with AUC values of 0.69 (95% CI: 0.60-0.78) and 0.62 (95% CI: 0.54-0.72), respectively. A logistic regression model incorporating handgrip strength, skeletal muscle mass, sarcopenia, osteoporosis, depression, specific antidepressant use, mobility, appetite, and smoking achieved superior performance in predicting malnutrition risk, with an AUC of 0.84 (95% CI: 0.77-0.91). In conclusion, this study demonstrates that integrating multiple parameters into a composite model provides a more accurate and comprehensive assessment of malnutrition risk in elderly adults.
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Affiliation(s)
- Karolina Kujawowicz
- Department of Food Biotechnology, Medical University of Białystok, 15-089 Białystok, Poland; (I.M.-C.); (M.C.); (A.M.W.)
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Sparks JR, Wang X, Lavie CJ, Sui X. Physical Activity, Cardiorespiratory Fitness, and the Obesity Paradox with Consideration for Racial and/or Ethnic Differences: A Broad Review and Call to Action. Rev Cardiovasc Med 2024; 25:291. [PMID: 39228496 PMCID: PMC11366992 DOI: 10.31083/j.rcm2508291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 04/06/2024] [Accepted: 04/15/2024] [Indexed: 09/05/2024] Open
Abstract
Despite decades of extensive research and clinical insights on the increased risk of all-cause and disease-specific morbidity and mortality due to obesity, the obesity paradox still presents a unique perspective, i.e., having a higher body mass index (BMI) offers a protective effect on adverse health outcomes, particularly in people with known cardiovascular disease (CVD). This protective effect may be due to modifiable factors that influence body weight status and health, including physical activity (PA) and cardiorespiratory fitness (CRF), as well as non-modifiable factors, such as race and/or ethnicity. This article briefly reviews the current knowledge surrounding the obesity paradox, its relationship with PA and CRF, and compelling considerations for race and/or ethnicity concerning the obesity paradox. As such, this review provides recommendations and a call to action for future precision medicine to consider modifiable and non-modifiable factors when preventing and/or treating obesity.
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Affiliation(s)
- Joshua R. Sparks
- Department of Exercise Science, Norman J. Arnold School of Public Health,
University of South Carolina, Columbia, SC 29208, USA
- Expeditionary and Cognitive Sciences Research Group, Department of
Warfighter Performance, Naval Health Research Center, Leidos Inc. (Contract), San
Diego, CA 92106, USA
| | - Xuewen Wang
- Department of Exercise Science, Norman J. Arnold School of Public Health,
University of South Carolina, Columbia, SC 29208, USA
| | - Carl J. Lavie
- Department of Cardiovascular Disease, John Ochsner Heart and Vascular
Institute, Ochsner Clinical School, University of Queensland School of Medicine,
New Orleans, LA 70121, USA
| | - Xuemei Sui
- Department of Exercise Science, Norman J. Arnold School of Public Health,
University of South Carolina, Columbia, SC 29208, USA
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Jiménez-Cortegana C, Gutiérrez-García C, Sánchez-Jiménez F, Vilariño-García T, Flores-Campos R, Pérez-Pérez A, Garnacho C, Sánchez-León ML, García-Domínguez DJ, Hontecillas-Prieto L, Palazón-Carrión N, De La Cruz-Merino L, Sánchez-Margalet V. Impact of obesity‑associated myeloid‑derived suppressor cells on cancer risk and progression (Review). Int J Oncol 2024; 65:79. [PMID: 38940351 PMCID: PMC11251741 DOI: 10.3892/ijo.2024.5667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/12/2024] [Indexed: 06/29/2024] Open
Abstract
Obesity is a chronic disease caused by the accumulation of excessive adipose tissue. This disorder is characterized by chronic low‑grade inflammation, which promotes the release of proinflammatory mediators, including cytokines, chemokines and leptin. Simultaneously, chronic inflammation can predispose to cancer development, progression and metastasis. Proinflammatory molecules are involved in the recruitment of specific cell populations in the tumor microenvironment. These cell populations include myeloid‑derived suppressor cells (MDSCs), a heterogeneous, immature myeloid population with immunosuppressive abilities. Obesity‑associated MDSCs have been linked with tumor dissemination, progression and poor clinical outcomes. A comprehensive literature review was conducted to assess the impact of obesity‑associated MDSCs on cancer in both preclinical models and oncological patients with obesity. A secondary objective was to examine the key role that leptin, the most important proinflammatory mediator released by adipocytes, plays in MDSC‑driven immunosuppression Finally, an overview is provided of the different therapeutic approaches available to target MDSCs in the context of obesity‑related cancer.
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Affiliation(s)
- Carlos Jiménez-Cortegana
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Cristian Gutiérrez-García
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Flora Sánchez-Jiménez
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Teresa Vilariño-García
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Rocio Flores-Campos
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Antonio Pérez-Pérez
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Carmen Garnacho
- Department of Normal and Pathological Histology and Cytology, School of Medicine, University of Seville, 41009 Seville, Spain
| | - Maria L. Sánchez-León
- Oncology Service, Virgen Macarena University Hospital, School of Medicine, University of Seville, 41009 Seville, Spain
| | - Daniel J. García-Domínguez
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Lourdes Hontecillas-Prieto
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
| | - Natalia Palazón-Carrión
- Oncology Service, Virgen Macarena University Hospital, School of Medicine, University of Seville, 41009 Seville, Spain
| | - Luis De La Cruz-Merino
- Oncology Service, Virgen Macarena University Hospital, School of Medicine, University of Seville, 41009 Seville, Spain
- Institute of Biomedicine of Seville, Virgen Macarena University Hospital, CSIC, University of Seville, Seville 41013, Spain
| | - Víctor Sánchez-Margalet
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Virgen Macarena University Hospital, University of Seville, 41009 Seville, Spain
- Institute of Biomedicine of Seville, Virgen Macarena University Hospital, CSIC, University of Seville, Seville 41013, Spain
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Elmorsi R, Camacho L, Krijgh DD, Tilney GS, Lyu H, Traweek RS, Witt RG, Roubaud MS, Roland CL, Mericli AF. Sarcoma Size and Limb Dimensions Predict Complications, Recurrence, and Death in Patients with Soft Tissue Sarcoma in the Thigh: A Multidimensional Analysis. Ann Surg Oncol 2024; 31:5421-5430. [PMID: 38520583 DOI: 10.1245/s10434-024-15183-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/03/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Limb-sparing resections of thigh soft tissue sarcomas (STSs) can result in adverse outcomes. Identifying preoperative predictors for wound healing complications, tumor recurrence, and mortality is crucial for informed reconstructive decision-making. We hypothesized that preoperative measurements of thigh and tumor dimensions could serve as reliable indicators for postoperative complications, recurrence, and death. PATIENTS AND METHODS In this retrospective cohort study conducted from March 2016 to December 2021, we analyzed patients undergoing thigh STS excisions followed by reconstruction. Preoperative magnetic resonance imaging or computed tomography scans provided necessary thigh and tumor dimensions. Univariate and multivariate regression assessed relationships between these dimensions and postoperative outcomes, including complications, recurrence, and death. RESULTS Upon the analysis of 123 thighs, we found thigh width to be highly predictive of postoperative complications, even surpassing body mass index (BMI) and retaining significance in multivariate regression [odds ratio (OR) 1.19; 95% CI 1.03-1.39; p = 0.03]. Sarcoma-to-thigh width and thickness ratios predicted STS recurrence, with the thickness ratio retaining significance in multivariate regression (OR 1.03; 95% CI 1.001-1.05; p = 0.041). Notably, greater thigh thickness was independently protective against mortality in multivariate analysis (OR 0.80; 95% CI 0.65-0.98; p = 0.030). CONCLUSIONS Thigh width outperformed BMI in association with postoperative complications. This may create an opportunity for intervention, where weight loss can play a role during the neoadjuvant therapy period to potentially reduce complications. Sarcoma-to-thigh width and thickness ratios, particularly the latter, hold substantial predictive value in terms of STS recurrence. Moreover, thigh thickness is an independent predictor of survival.
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Affiliation(s)
- Rami Elmorsi
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luis Camacho
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David D Krijgh
- Department of Plastic, Reconstructive, and Hand Surgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gordon S Tilney
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather Lyu
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Raymond S Traweek
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Russell G Witt
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | - Margaret S Roubaud
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christina L Roland
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander F Mericli
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Zhou R, Xiao Q, Zhao L, Tang J, Han Y, Huang N, Wang Y, Cheng J, Lyu J, Xiong L, Li L. The association between weight-adjusted-waist index and psoriasis: A cross-sectional study. Prev Med 2024; 185:108026. [PMID: 38844051 DOI: 10.1016/j.ypmed.2024.108026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 05/31/2024] [Accepted: 06/01/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION This study explored the association between psoriasis and the weight-adjusted waist index (WWI), a newly developed measure of adiposity. The research was conducted among adults in the United States. METHODS Utilizing survey data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2009 to 2014, the present study aimed to investigate the potential correlation between psoriasis and WWI within a sample of 15,920 adult participants. Employing multivariable logistic regression and nonlinear curve fitting techniques, we analyzed this plausible association. Additionally, a subgroup analysis was conducted to ascertain the consistency across diverse populations. RESULTS A significant positive association was discovered between psoriasis and WWI in the investigated sample of 15,920 adults. After conducting a comprehensive adjustment of the model, it was observed that each incremental unit of WWI was significantly associated with an 14% elevated likelihood of developing psoriasis (OR = 1.16, 95% CI 1.01-1.36). Moreover, individuals belonging to the highest quartile of WWI exhibited a 47% higher risk of psoriasis compared to those in the lowest quartile (OR = 1.44, 95% CI 1.01-2.06). This positive correlation remained consistent across various subgroups. The study also compared WWI with BMI and waist circumference, finding that WWI is a more stable metric of obesity. CONCLUSIONS Our study suggested that in US adults, there is a positive association between WWI and psoriasis. It also indicated that WWI showed potential as a valuable index of psoriasis among the general population.
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Affiliation(s)
- Runke Zhou
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Qing Xiao
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Lingyun Zhao
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Tang
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, China; NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China
| | - Yuanyuan Han
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, China
| | - Nan Huang
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Yixin Wang
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Ji Cheng
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaqi Lyu
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lidan Xiong
- Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, China; NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China.
| | - Li Li
- Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China; Cosmetics Safety and Efficacy Evaluation Center, West China Hospital, Sichuan University, Chengdu, China; NMPA Key Laboratory for Human Evaluation and Big Data of Cosmetics, Chengdu, China.
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Tseng LY, Liang CK, Peng LN, Lin MH, Loh CH, Lee WJ, Hsiao FY, Chen LK. The distinct impacts of sarcopenic and dynapenic obesity on mortality in middle-aged and older adults based on different adiposity metrics: Results from I-Lan Longitudinal Aging Study. Clin Nutr 2024; 43:1892-1899. [PMID: 38991414 DOI: 10.1016/j.clnu.2024.06.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 06/06/2024] [Accepted: 06/29/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND & AIMS Sarcopenic obesity (SO) and dynapenic obesity (DO) represent two manifestations of excessive fat accumulation concurrent with compromised muscle mass and function, thereby necessitating an examination of their implications for health. This study aims to investigate the relationship between SO/DO and mortality, taking into account various adiposity measures and existing sarcopenia criteria, with further stratified analyses based on age and gender. METHODS The study sample comprised 1779 older adults residing in the community from the I-Lan Longitudinal Aging Study (ILAS). Body composition was assessed via dual-energy X-ray absorptiometry. The diagnosis of sarcopenia was adhered to the 2019 consensus of the Asian Working Group for Sarcopenia, while adiposity was measured by waist circumference (WC), body mass index (BMI), and fat percentage. SO/DO was defined as the coexistence of sarcopenia/dynapenia and obesity. Multivariate Cox proportional hazard regression models were adopted to examine the association between SO or DO, defined by WC, BMI, fat percentage, and mortality. RESULTS This 11-year follow-up study of 1779 participants aged 63.9 ± 9.2 years involved 15,068 person-years and 229 deaths. WC-defined SO (HR 1.9, 95% CI 1.1-3.3, p = 0.021) and WC-defined DO (HR 1.4, 95% CI 1.1-1.9, p = 0.022) significantly increased mortality risk, whereas definitions employing alternative adiposity metrics exhibited no statistical significance. WC-defined SO was associated with increased risk of mortality among middle-aged adults, while WC-defined DO was associated with increased risk of mortality among older adults. In sex-specific analysis, WC-defined DO was also associated with increased risk of mortality in men (HR 1.6, 95% CI 1.1-2.4, p = 0.019), while defined by other measurements showed no associations in both sexes. CONCLUSIONS The study identified a significant link between SO/DO, defined by WC, and an 11-year mortality risk, advocating for WC-defined adiposity as an obesity measure and personalized interventions considering SO and DO's distinct impacts on mortality in middle-aged and older adults.
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Affiliation(s)
- Li-Yen Tseng
- National Yang Ming Chiao Tung University Hospital, Yi-Lan County, Taiwan; Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Kuang Liang
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Taipei, Taiwan
| | - Li-Ning Peng
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ming-Hsien Lin
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ching-Hui Loh
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center of Health and Aging, Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation, Hualien County, Taiwan
| | - Wei-Ju Lee
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yi-Lan County, Taiwan.
| | - Fei-Yuan Hsiao
- Graduate Institute of Clinical Pharmacy, National Taiwan University, Taipei, Taiwan; Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan; Center for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan; Taipei Municipal Gan-Dau Hospital, Taipei, Taiwan
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12
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Merkel ED, Behon A, Masszi R, Schwertner WR, Kuthi L, Veres B, Osztheimer I, Papp R, Molnár L, Zima E, Gellér L, Kosztin A, Merkely B. Obesity paradox in patients with reduced ejection fraction eligible for device implantation - an observational study. ESC Heart Fail 2024. [PMID: 39031161 DOI: 10.1002/ehf2.14961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/02/2024] [Accepted: 04/19/2024] [Indexed: 07/22/2024] Open
Abstract
AIMS Patients with obesity have an overall higher cardiovascular risk, at the same time obesity could be associated with a better outcome in a certain subgroup of patients, a phenomenon known as the obesity paradox. Data are scarce in candidates for cardiac resynchronization therapy (CRT). We aimed to investigate the association between body mass index (BMI) and all-cause mortality in patients eligible for CRT. METHODS Altogether 1,585 patients underwent cardiac resynchronization therapy between 2000-2020 and were categorized based on their BMI, 459 (29%) patients with normal weight (BMI < 25 kg/m2), 641 (40%) patients with overweight (BMI 25- < 30 kg/m2) and 485 (31%) with obesity (BMI ≥ 30 kg/m2). The primary endpoint was all-cause mortality, heart transplantation, and left ventricular assist device implantation. We assessed periprocedural complications and 6-month echocardiographic response. RESULTS Normal-weight patients were older compared to patients with overweight or obesity (70 years vs. 69 years vs. 68 years; P ‹0.001), respectively. Sex distribution, ischaemic aetiology, and CRT-D implantation rates were similar in the three patient groups. Diabetes mellitus (BMI < 25 kg/m2 26% vs. BMI 25- < 30 kg/m2 37% vs. BMI ≥ 30 kg/m2 48%; P ‹0.001) and hypertension (BMI < 25 kg/m2 71% vs. BMI 25- < 30 kg/m2 74% vs. BMI ≥ 30 kg/m2 82%; P ‹0.001) were more frequent in patients with overweight and obesity. During the mean follow-up time of 5.1 years, 973 (61%) reached the primary endpoint, 66% in the BMI < 25 kg/m2 group, 61% in the BMI 25- < 30 kg/m2 group and 58% in the BMI ≥ 30 kg/m2 group (log-rank P‹0.05). Patients with obesity showed mortality benefit over normal-weight patients (HR 0.78; 95%CI 0.66-0.92; P = 0.003). The obesity paradox was present in patients free from diabetes, atrial fibrillation, and ischemic events. Periprocedural complication rates did not differ in the three groups (BMI < 25 kg/m2 25% vs. BMI 25- < 30 kg/m2 28% vs. BMI ≥ 30 kg/m2 26%; P = 0.48). Left ventricular ejection fraction improved significantly in all patient groups (BMI < 25 kg/m2 median∆ $$ \Delta $$ -LVEF 7% vs. BMI 25- < 30 kg/m2 median∆ $$ \Delta $$ -LVEF 7.5% vs. BMI ≥ 30 kg/m2 median∆ $$ \Delta $$ -LVEF 6%; P < 0.0001) with a similar proportion of developing reverse remodeling (BMI < 25 kg/m2 58% vs. BMI 25- < 30 kg/m2 61% vs. BMI ≥ 30 kg/m2 57%; P = 0.48); P = 0.75). CONCLUSIONS The obesity paradox was present in our HF cohort at long-term, patients underwent CRT implantation with obesity and free of comorbidities showed mortality benefit compared to normal weight patients. Patients with obesity showed similar echocardiographic response and safety outcomes compared to normal weight patients.
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Affiliation(s)
- Eperke D Merkel
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Anett Behon
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Richard Masszi
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Luca Kuthi
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Boglárka Veres
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Roland Papp
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Levente Molnár
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - Endre Zima
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | - László Gellér
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
| | | | - Béla Merkely
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary
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Lo WC, Hu TH, Shih CY, Lin HH, Hwang JS. Impact of Healthy Lifestyle Factors on Life Expectancy and Lifetime Health Care Expenditure: Nationwide Cohort Study. JMIR Public Health Surveill 2024; 10:e57045. [PMID: 39018094 PMCID: PMC11292159 DOI: 10.2196/57045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 03/20/2024] [Accepted: 05/17/2024] [Indexed: 07/18/2024] Open
Abstract
BACKGROUND The association between lifestyle risk factors and the risk of mortality and chronic diseases has been established, while limited research has explored the impact of healthy lifestyle factors on lifetime health care expenditure using longitudinal individual data. OBJECTIVE We aimed to determine the individual and combined effects of 5 healthy lifestyle factors on life expectancy and lifetime health care expenditure in Taiwan. METHODS Using data from the National Health Interview Survey cohort, 5 healthy lifestyle behaviors were defined and analyzed: nonsmoking, avoiding excessive alcohol consumption, engaging in sufficient physical activity, ensuring sufficient fruit and vegetable intake, and maintaining a normal weight. We used a rolling extrapolation algorithm that incorporated inverse probability of treatment weighting to estimate the life expectancy and lifetime health care expenditure of the study populations with and without healthy lifestyle factors. RESULTS A total of 19,893 participants aged ≥30 (mean age 48.8, SD 13.4) years were included, with 3815 deaths recorded during a median follow-up period of 15.6 years. The life expectancy and per capita estimated lifetime health care expenditures for the overall study population were 35.32 years and US $58,560, respectively. Multivariable-adjusted hazard ratios for all-cause mortality in participants adhering to all 5 healthy lifestyle factors, compared with those adhering to none, were 0.37 (95% CI 0.27-0.49). We found significant increases in life expectancy for nonsmokers (2.31 years; 95% CI 0.04-5.13; P=.03), those with sufficient physical activity (1.85 years; 95% CI 0.25-4.34; P=.02), and those with adequate fruit and vegetable intake (3.25 years; 95% CI 1.29-6.81; P=.01). In addition, nonsmokers experienced a significant reduction in annual health care expenditure (-9.78%; 95% CI -46.53% to -1.45%; P=.03), as did individuals maintaining optimal body weight (-18.36%; 95% CI -29.66% to -8.57%; P=.01). Overall, participants adhering to all 5 healthy lifestyle behaviors exhibited a life gain of 7.13 years (95% CI 1.33-11.11; P=.02) compared with those adhering to one or none, with a life expectancy of 29.19 years (95% CI 25.45-33.62). Furthermore, individuals adopting all 5 healthy lifestyle factors experienced an average annual health care expenditure reduction of 28.12% (95% CI 4.43%-57.61%; P=.02) compared with those adopting one or none. CONCLUSIONS Adopting a healthy lifestyle is associated with a longer life expectancy and a reduction of health care expenditure in Taiwanese adults. This contributes to a more comprehensive understanding of the impact of healthy lifestyle factors on the overall health and economic burden.
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Affiliation(s)
- Wei-Cheng Lo
- Master Program in Applied Epidemiology, College of Public Health, Taipei Medical University, New Taipei, Taiwan
- School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan
| | - Tsuey-Hwa Hu
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Cheng-Yu Shih
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Hsien-Ho Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
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Zhu X, Wang P, Yue Y, Wu T, Cui J, Shu Y, Ma L. The relationship between depression and lipid accumulation product: a population-based study. Front Psychiatry 2024; 15:1395766. [PMID: 39041045 PMCID: PMC11260732 DOI: 10.3389/fpsyt.2024.1395766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 06/19/2024] [Indexed: 07/24/2024] Open
Abstract
Background Lipid Accumulation Product (LAP) is a new type of obesity index. The relationship between LAP and depression is unclear, and this cross-sectional study was conducted to explore the relationship between LAP and depression using the National Health and Nutrition Examination Survey (NHANES) database from 2005-2018. Methods In our study, logistic regression analysis was used to calculate the odds ratio between depression and LAP, and subgroup analysis and sensitivity analysis were also performed to verify the robustness of the results. Results The analysis included 13,240 participants aged 20 years or older. After adjusting for multiple variables, LAP was positively associated with depression, OR 1. 50 (95% CI, 1. 05-2. 12). In subgroup analysis, LAP was significantly positively, associated with depression among male (2. 52, OR; 95% CI, 1. 39,4. 57), non-Hispanic Black (2. 55, OR; 95% CI, 1. 49,4. 36), those without diabetes (1. 67, OR; 95% CI, (1. 06,2. 61) or in the overweight (2. 09, OR; 95% CI, (1. 23,3. 54) subgroups. After inverse probability of treatment weighting (IPTW), the OR for the highest versus lowest quartile was 1. 55 (95% CI: 1. 24 - 1. 95). Conclusion There are positive results between LAP and depression after adjusting for multiple potential variables, and prospective studies are needed to verify the results.
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Affiliation(s)
- Xianlin Zhu
- Department of Clinical Psychology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Peng Wang
- Department of Neurology, Anqing Municipal Hospital, Anqing, China
| | - Ya Yue
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang, China
| | - Tiancheng Wu
- Department of Rehabilitation Medicine, Kangda College of Nanjing Medical University, Nanjing, China
| | - Jiali Cui
- Ninth clinical Department, Mental Health Center, the First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yanping Shu
- Department of Psychiatry of Women and Children, The Second People’s Hospital of Guizhou Province, Guiyang, China
| | - Ling Ma
- Department of Clinical Psychology, The Third Affiliated Hospital of Soochow University, Changzhou, China
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15
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Zhou Y, Tang P, Wang Y, Tang Y, Yang Y. Joint association of weight-adjusted-waist index and physical activity with insulin resistance in adolescents: a cross-sectional study. BMC Endocr Disord 2024; 24:100. [PMID: 38951821 PMCID: PMC11218192 DOI: 10.1186/s12902-024-01633-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/25/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The weight-adjusted waist index (WWI) is a recently developed obesity metric, and the aim of this study was to investigate the relationship between physical activity (PA) and WWI and the homeostasis model assessment of insulin resistance (HOMA-IR) in adolescents, as well as the joint association of HOMA-IR. METHODS This study was based on the National Health and Nutrition Survey conducted between 2013 and 2016 and included 1024 adolescents whose median age was 15.4. Multivariate linear regression was used to examine the associations between HOMA-IR and PA and WWI. Using generalized additive models, a potential nonlinear link between WWI and HOMA-IR was evaluated. Subgroup analysis was also carried out. RESULTS The fully adjusted model revealed a positive association (β: 0.48, 95% CI: 0.43, 0.53) between the WWI and HOMA-IR. The HOMA-IR was lower in physically active (β: -0.16, 95% CI: -0.26, -0.05) participants versus inactive participants. Participants who had higher WWI and were not physically active (β: 0.69; 95% CI: 0.56, 0.82) had the highest levels of HOMA-IR compared to participants who had lower WWI and were physically active. Subgroup analysis revealed that these correlations were similar in males and females. CONCLUSION Our results demonstrated that higher WWI and PA were associated with a lower HOMA-IR and that WWI and PA had a combined association with HOMA-IR. The findings of this study are informative for the preventing insulin resistance in adolescents.
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Affiliation(s)
- Yong Zhou
- School of Public Health, Xiangnan University, Chenzhou, Hunan, 423000, China
| | - Peng Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yican Wang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road Hefei 230000, Hefei, Anhui, 230000, China.
| | - Ying Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
| | - Yujian Yang
- Department of Thoracic Surgery, Changsha Hospital of Traditional Chinese Medicine, Hunan University of Traditional Chinese Medicine, No. 22 Xingsha Road, Changsha, Hunan, 410100, China.
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16
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Krittayaphong R, Boonyapiphat T, Winijkul A, Lip GYH. Clinical outcomes of obese and nonobese patients with atrial fibrillation according to associated metabolic abnormalities: A report from the COOL-AF registry. J Diabetes 2024; 16:e13519. [PMID: 38095262 PMCID: PMC11212287 DOI: 10.1111/1753-0407.13519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 10/16/2023] [Accepted: 11/26/2023] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND The primary objective was to determine the influence of obesity and associated metabolic status on clinical outcomes of Asian patients with atrial fibrillation (AF). METHODS This study was based on a prospective multicenter of patients with nonvalvular AF. Patients were classified as obese and nonobese and being metabolic unhealthy was defined as having at least one of the three cardiovascular risk factors including dyslipidemia, hypertension, or diabetes mellitus. Outcomes were a primary composite outcome of all-cause death, ischemic stroke/systemic embolism (SSE), acute myocardial infarction (MI), and heart failure (HF), as well as the individual end points. RESULTS There were a total of 3141 enrolled patients (mean age 67.4 ± 11.1 years; 41.0% female), of whom 1566 (49.9%) were obese and 2564 (81.6%) were metabolic unhealthy. During a mean follow-up of 32.2 ± 8.3 months, the incidence rate of the composite outcome, all-cause death, SSE, MI, and HF were 7.21 (6.63-7.82), 3.86 (3.45-4.30), 1.48 (1.23-1.77), 0.47 (0.33-0.64), and 2.84 (2.48-3.23) per 100 person-years, respectively. Metabolic unhealthy nonobese subjects were at higher risk of the composite outcomes than metabolic unhealthy obese subjects with hazard ratio (HR) 1.39, 95% confidence interval (CI) 1.17-1.66, p < .001. Metabolic unhealthy obese subjects tend to have an increased risk of the composite outcomes compared to those metabolic healthy obese (HR 1.36, 95% CI 0.91-2.02, p = .133). Metabolic healthy obese subjects were not associated with increased risk. CONCLUSIONS Metabolic unhealthy obese subjects were associated with an increased risk of adverse outcomes in AF patients, whereas metabolically healthy obesity was not associated with an increased risk.
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Affiliation(s)
- Rungroj Krittayaphong
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | | | - Arjbordin Winijkul
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj HospitalMahidol UniversityBangkokThailand
| | - Gregory Y. H. Lip
- Liverpool Centre for Cardiovascular ScienceUniversity of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest HospitalLiverpoolUK
- Danish Center for Clinical Health Services Research, Department of Clinical MedicineAalborg UniversityAalborgDenmark
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Huang C, Xu S, Chen R, Ding Y, Fu Q, He B, Jiang T, Zeng B, Bao M, Li S. Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e38610. [PMID: 38905395 PMCID: PMC11191951 DOI: 10.1097/md.0000000000038610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/24/2024] [Indexed: 06/23/2024] Open
Abstract
Maintaining a balanced bile acids (BAs) metabolism is essential for lipid and cholesterol metabolism, as well as fat intake and absorption. The development of obesity may be intricately linked to BAs and their conjugated compounds. Our study aims to assess how BAs influence the obesity indicators by Mendelian randomization (MR) analysis. Instrumental variables of 5 BAs were obtained from public genome-wide association study databases, and 8 genome-wide association studies related to obesity indicators were used as outcomes. Causal inference analysis utilized inverse-variance weighted (IVW), weighted median, and MR-Egger methods. Sensitivity analysis involved MR-PRESSO and leave-one-out techniques to detect pleiotropy and outliers. Horizontal pleiotropy and heterogeneity were assessed using the MR-Egger intercept and Cochran Q statistic, respectively. The IVW analysis revealed an odds ratio of 0.94 (95% confidence interval: 0.88, 1.00; P = .05) for the association between glycolithocholate (GLCA) and obesity, indicating a marginal negative causal association. Consistent direction of the estimates obtained from the weighted median and MR-Egger methods was observed in the analysis of the association between GLCA and obesity. Furthermore, the IVW analysis demonstrated a suggestive association between GLCA and trunk fat percentage, with a beta value of -0.014 (95% confidence interval: -0.027, -0.0004; P = .04). Our findings suggest a potential negative causal relationship between GLCA and both obesity and trunk fat percentage, although no association survived corrections for multiple comparisons. These results indicate a trend towards a possible association between BAs and obesity, emphasizing the need for future studies.
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Affiliation(s)
- Chunxia Huang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Shuling Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Rumeng Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Qingming Fu
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Binsheng He
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
| | - Ting Jiang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Bin Zeng
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Meihua Bao
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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Elmorsi R, Mericli AF. ASO Author Reflections: Leveraging Preoperative Measurements to Predict Postoperative Outcomes in Thigh Soft Tissue Sarcomas. Ann Surg Oncol 2024; 31:3705-3706. [PMID: 38553654 DOI: 10.1245/s10434-024-15242-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 05/09/2024]
Affiliation(s)
- Rami Elmorsi
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander F Mericli
- Department of Plastic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Yoon HY, Kim H, Bae Y, Song JW. Body mass index is associated with clinical outcomes in idiopathic pulmonary fibrosis. Sci Rep 2024; 14:11921. [PMID: 38789476 PMCID: PMC11126411 DOI: 10.1038/s41598-024-62572-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/19/2024] [Indexed: 05/26/2024] Open
Abstract
Association between body mass index (BMI) and prognosis in patients with idiopathic pulmonary fibrosis (IPF) remains uncertain. We investigated the association between BMI and clinical outcomes in patients with IPF using national health claims data. The study included 11,826 patients with IPF and rare incurable disease exemption codes (mean age: 68.9 years, male: 73.8%) and available BMI data who visited medical institutions between January 2002 and December 2018. Multivariable Cox proportional hazard models were used to evaluate the association of BMI with all-cause mortality and hospitalization. Based on BMI, 3.1%, 32.8%, 27.8%, and 36.4% were classified as underweight, normal, overweight, and obese, respectively. Multivariable analysis showed independent associations of overweight (hazard ratio [HR] 0.856, 95% confidence interval [CI] 0.801-0.916) and underweight (HR 1.538, 95% CI 1.347-1.757) with mortality in patients with IPF. Similarly, overweight (HR 0.887, 95% CI 0.834-0.943) and underweight (HR 1.265, 95% CI 1.104-1.449) were also associated with hospitalization in patients with IPF in the multivariable analysis. Spline HR curve analysis adjusted for all covariates revealed a non-linear relationship between BMI and mortality in patients with IPF. Our data suggest that BMI is associated with clinical outcomes in patients with IPF.
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Affiliation(s)
- Hee-Young Yoon
- Division of Allergy and Respiratory Diseases, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Hoseob Kim
- Department of Data Science, Hanmi Pharm. Co., Ltd, Seoul, Republic of Korea
| | - Yoonjong Bae
- Department of Data Science, Hanmi Pharm. Co., Ltd, Seoul, Republic of Korea
| | - Jin Woo Song
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505, Republic of Korea.
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Tang H, Li R, Li R, Lian R, Chen X, Jiang W, Jiang J, Yang M. Sarcopenic obesity in nursing home residents: a multi-center study on diagnostic methods and their association with instrumental activities of daily living. BMC Geriatr 2024; 24:446. [PMID: 38773403 PMCID: PMC11110436 DOI: 10.1186/s12877-024-04955-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 04/08/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Sarcopenic obesity (SO) in nursing home residents is rarely studied. We aimed to evaluate and compare the prevalence and consistency of different SO diagnostic methods and to investigate which criterion demonstrated a stronger association with instrumental activities of daily living (IADL) disability. METHODS We consecutively recruited older adults aged ≥ 60 years, residing in 15 nursing homes in Zigong City, China. Sarcopenia obesity was defined according to the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity criteria (SOESPEN), recommending skeletal muscle mass (SMM) adjusted by body weight (SMM/W) to identify low muscle mass. Further, we adapted ESPEN criteria (SOESPEN-M) by employing SMM adjusted by body mass index (SMM/BMI). RESULTS We included 832 participants (median age 73.0 years, 296 women). The prevalence of SOESPEN and SOESPEN-M was 43.5% and 45.3%, respectively. SOESPEN showed good consistency with SOESPEN-M (Cohen's kappa = 0.759). More than one-third of participants in the normal weight group were diagnosed with SOESPEN or SOESPEN-M. Even within the underweight group, the prevalence of SOESPEN and SOESPEN-M was 8.9% and 22.2%, respectively. Participants with IADL disability had significantly lower SMM/W and SMM/BMI, but higher fat mass percentage of body weight (FM%) than participants without IADL disability. After full adjustment for potential confounders, SOESPEN-M (OR 1.68, 95% CI 1.21 to 2.32), but not SOESPEN (OR 1.28, 95% CI 0.93 to 1.75), remained significantly associated with IADL disability. CONCLUSIONS Both SOESPEN and SOESPEN-M showed a high prevalence among nursing home residents, even among individuals with underweight or normal weight. While SOESPEN had a good consistency with SOESPEN-M, only SOESPEN-M was independently associated with IADL disability. Screening and diagnosis of SO should be conducted in nursing home residents irrespective of BMI.
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Affiliation(s)
- Huiyu Tang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Runjie Li
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Ruicen Li
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Rongna Lian
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyan Chen
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Wenhua Jiang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaojiao Jiang
- Rehabilitation Center, West China Hospital, Sichuan University, Chengdu, China.
| | - Ming Yang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
- West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, China.
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21
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Zhang C, Dong X, Chen J, Liu F. Association between lipid accumulation product and psoriasis among adults: a nationally representative cross-sectional study. Lipids Health Dis 2024; 23:143. [PMID: 38760661 PMCID: PMC11100150 DOI: 10.1186/s12944-024-02123-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 04/25/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Lipid accumulation product (LAP) is an accessible and relatively comprehensive assessment of obesity that represents both anatomical and physiological lipid accumulation. Obesity and psoriasis are potentially related, according to previous research. Investigating the relationship between adult psoriasis and the LAP index was the goal of this study. METHODS This is a cross-sectional study based on data from the National Health and Nutrition Examination Survey (NHANES) 2003-2006 and 2009-2014. The association between LAP and psoriasis was examined using multivariate logistic regression and smoothed curve fitting. To verify whether this relationship was stable across populations, subgroup analyses and interaction tests were performed. RESULTS The LAP index showed a positive correlation with psoriasis in 9,781 adult participants who were 20 years of age or older. A 27% elevated probability of psoriasis was linked to every unit increase in ln LAP in the fully adjusted model (Model 3: OR 1.27, 95% CI 1.06-1.52). In comparison with participants in the lowest ln LAP quartile, those in the highest quartile had an 83% greater likelihood of psoriasis (Model 3: OR 1.83, 95% CI 1.08-3.11). This positive correlation was more pronounced for young males, participants who had never smoked, non-drinkers, participants who exercised little, as well as non-hypertensive and non-diabetic participants. CONCLUSIONS This study found that the LAP index and adult psoriasis were positively correlated, especially in young males without comorbidities. Therefore, it is proposed that LAP may serve as a biomarker for early diagnosis of psoriasis and tracking the effectiveness of treatment.
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Affiliation(s)
- Caiyun Zhang
- Department of Medical Cosmetology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, 210022, China
| | - Xiaoping Dong
- Department of Dermatology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China
| | - Jun Chen
- Department of Dermatology, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, 210031, China.
| | - Fang Liu
- Department of Dermatology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, China.
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Lu Y, Ma J, Ma J, Ji D. Role of obesity in lower mortality risk in sepsis: a meta-analysis of observational studies. Am J Transl Res 2024; 16:1880-1890. [PMID: 38883384 PMCID: PMC11170608 DOI: 10.62347/uhbm7298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/13/2024] [Indexed: 06/18/2024]
Abstract
This meta-analysis aims to explore the correlation between obesity and mortality in patients with sepsis. Data were gathered from various sources, including PubMed, the Cochrane Library, and Embase (no language restrictions). Clinical studies, both retrospective and prospective ones, were selected to analyze mortality due to sepsis in patients with or without obesity. The Newcastle-Ottawa Scale was used to assess the quality of the studies included. In data synthesis, odds ratio (OR) and 95% confidence interval (CI) were meta-analyzed using the DerSimonian-Laird random-effects model, followed by sensitivity and heterogeneity analyses. Two cohort studies were included to investigate survival in inpatients with obesity and sepsis, with pooled analysis indicating a lowered mortality rate (OR=0.88; 95% CI: 0.81-0.95; I2=0.00%; P=0.000). This meta-analysis lends support to the obesity paradox, suggesting a reduced mortality from sepsis in obese patients. However, further prospective trials and research on mechanisms are needed to test this hypothesis.
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Affiliation(s)
- Ye Lu
- Department of Critical Care Medicine, The Fifth People's Hospital of Wuxi, Affiliated Hospital of Jiangnan University Wuxi 214001, Jiangsu, China
| | - Jing Ma
- Department of Critical Care Medicine, Yuncheng Central Hospital, Eighth Affiliated Medical College, Shanxi Medical University Yuncheng 044000, Shanxi, China
| | - Jiawei Ma
- Department of Critical Care Medicine, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University Wuxi 214002, Jiangsu, China
- Department of Critical Care Medicine, Aheqi County People's Hospital Aksu 843599, Xinjiang, China
| | - Dandan Ji
- Department of Critical Care Medicine, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University Wuxi 214002, Jiangsu, China
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23
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Zhang G, Wang S, Ma P, Li S, Sun X, Zhao Y, Pan J. Increased regional body fat is associated with depressive symptoms: a cross-sectional analysis of NHANES data obtained during 2011-2018. BMC Psychiatry 2024; 24:336. [PMID: 38702637 PMCID: PMC11067210 DOI: 10.1186/s12888-024-05782-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 04/22/2024] [Indexed: 05/06/2024] Open
Abstract
AIMS The findings from previous epidemiological studies of the association between regional body fat and depressive symptoms have been unclear. We aimed to determine the association between the body fat in different regions and depressive symptoms based on data from the National Health and Nutrition Examination Survey (NHANES). METHODS This study included 3393 participants aged ≥ 20 years from the NHANES performed during 2011-2018. Depressive symptoms were assessed using the Patient Health Questionnaire-9. The fat mass (FM) was measured in different regions using dual-energy X-ray absorptiometry to determine the total FM, trunk FM, arm FM, and leg FM. The FM index (FMI) was obtained by dividing the FM in kilograms by the square of the body height in meters. Weighted data were calculated in accordance with analytical guidelines. Linear logistic regression models were used to quantify the association between regional FMI and depressive symptoms. Univariate and stratified analyses were also performed. RESULTS The participants in this study comprised 2066 males and 1327 females. There were 404 (11.91%) participants with depressive symptoms, who were aged 40.89 ± 11.74 years and had a body mass index of 30.07 ± 7.82 kg/m². A significant association was found between total FMI and depressive symptoms. In the fully adjusted multivariate regression model, a higher total FMI (odds ratio = 2.18, 95% confidence interval [CI] = 1.08-4.39) was related to a higher risk of depressive symptoms, while increased total FMI (β = 1.55, 95% CI = 0.65-2.44, p = 0.001), trunk FMI (β = 0.57, 95% CI = 0.04-1.10, p = 0.036), and arm FMI (β = 0.96, 95% CI = 0.33-1.59, p = 0.004) were significantly associated with PHQ-9 (Patient Health Questionnaire-9) scores, whereas the leg FMI was not (p = 0.102). The weighted association between total FMI and depressive symptoms did not differ significantly between most of the subpopulations (all p values for interaction > 0.05). The risk of having depression was higher in individuals who were non-Hispanic Whites, smokers, drinkers, obese, and had diabetes and thyroid problems (p < 0.05). CONCLUSION These findings suggest that the population with a higher regional FMI is more likely to have depressive symptoms, especially in those who also have an increased total FMI. The association is more pronounced in individuals who are smokers, drinkers, obese, and have diabetes and thyroid problems.
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Affiliation(s)
- GuiMei Zhang
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China
| | - Sisi Wang
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China
| | - Ping Ma
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China
| | - Shuna Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, 510632, China
| | - Xizhe Sun
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China
| | - Yang Zhao
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China
| | - Jiyang Pan
- Department of Psychiatry, Sleep Medicine Centre, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, 510632, P.R. China.
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Bae JP, Kallenbach L, Nelson DR, Lavelle K, Winer-Jones JP, Bonafede M, Murakami M. Obesity and metabolic syndrome in patients with heart failure with preserved ejection fraction: a cross-sectional analysis of the Veradigm Cardiology Registry. BMC Endocr Disord 2024; 24:59. [PMID: 38693484 PMCID: PMC11064285 DOI: 10.1186/s12902-024-01589-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 04/24/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND The proportion of heart failure patients with preserved ejection fraction has been rising over the past decades and has coincided with increases in the prevalence of obesity and metabolic syndrome. The relationship between these interconnected comorbidities and heart failure with preserved ejection fraction (HFpEF) is still poorly understood. This study characterized obesity and metabolic syndrome among real-world patients with HFpEF. METHODS We identified adults with heart failure in the Veradigm Cardiology Registry, previously the PINNACLE Registry, with a left ventricular ejection fraction measurement ≥ 50% between 01/01/2016 and 12/31/2019. Patients were stratified by obesity diagnosis and presence of metabolic syndrome (≥ 3 of the following: diabetes, hypertension, hyperlipidemia, and obesity). We captured baseline demographic and clinical characteristics and used multivariable logistic regression to examine the odds of having cardiac (atrial fibrillation, coronary artery disease, coronary artery bypass surgery, myocardial infarction, and stroke/transient ischemic attack) and non-cardiac (chronic kidney disease, chronic liver disease, and peripheral artery disease) comorbidities of interest. The models adjusted for age and sex, and the main covariates of interest were obesity and metabolic burden score (0-3 based on the presence of diabetes, hypertension, and hyperlipidemia). The models were run with and without an obesity*metabolic burden score interaction term. RESULTS This study included 264,571 patients with HFpEF, of whom 55.7% had obesity, 52.5% had metabolic syndrome, 42.5% had both, and 34.3% had neither. After adjusting for age, sex, and burden of other metabolic syndrome-associated diagnoses, patients with HFpEF with obesity had lower odds of a diagnosis of other evaluated comorbidities relative to patients without obesity. The presence of metabolic syndrome in HFpEF appears to increase comorbidity burden as each additional metabolic syndrome-associated diagnosis was associated with higher odds of assessed comorbidities except atrial fibrillation. CONCLUSION Obesity was common among patients with HFpEF and not always co-occurring with metabolic syndrome. Multivariable analysis suggested that patients with obesity may develop HFpEF in the absence of other driving factors such as cardiovascular disease or metabolic syndrome.
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Affiliation(s)
- Jay P Bae
- Eli Lilly and Company, Indianapolis, USA.
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25
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Booker R, Wong M, Bancks MP, Carnethon MR, Chow LS, Lewis CE, Schreiner PJ, Alexandria SJ. The longitudinal association of adipose-to-lean ratio with incident cardiometabolic morbidity: The CARDIA study. J Diabetes Complications 2024; 38:108725. [PMID: 38520820 PMCID: PMC11058009 DOI: 10.1016/j.jdiacomp.2024.108725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/01/2024] [Accepted: 03/16/2024] [Indexed: 03/25/2024]
Abstract
AIM To assess the association of adipose-to-lean ratio (ALR) with incident type 2 diabetes mellitus (T2DM), hypertension, and dyslipidemia in middle adulthood. METHOD Black and White Coronary Artery Risk Development in Young Adults participants without T2DM, hypertension, or dyslipidemia in 2005-06 (baseline) were included. Baseline adipose and lean mass were assessed via dual-energy X-ray absorptiometry. ALR was calculated as adipose divided by lean mass and then standardized within sex strata. Single time-point incident morbidity was assessed every five years from baseline through 2016. Cox proportional hazards regression was used to estimate hazard ratios (HR) for morbidity over 10 years per 1-SD increment in ALR adjusted for cardiovascular risk factors. RESULT The cumulative incidence of T2DM was 7.9 % (129 events/N = 1643; 16,301 person-years), 26.7 % (485 events/N = 1819; 17,895 person-years) for hypertension, and 49.1 % (435 events/N = 855, 8089 person-years) for dyslipidemia. In the adjusted models, ALR was positively associated with a risk of T2DM (HR [95 % CI]; 1.69 [1.31, 2.19]) and hypertension (1.23 [1.08, 1.40]). There was no significant interaction between ALR and sex for any morbidity. CONCLUSION ALR in middle adulthood is associated with incident T2DM and hypertension. The extent to which localized body composition measures might inform morbidity risk merits further investigation.
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Affiliation(s)
- Robert Booker
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Mandy Wong
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Michael P Bancks
- Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lisa S Chow
- University of Minnesota, Minneapolis, MN, USA
| | - Cora E Lewis
- University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Shaina J Alexandria
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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26
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Di Fusco SA, Mocini E, Gori M, Iacoviello M, Bilato C, Corda M, De Luca L, Di Marco M, Geraci G, Iacovoni A, Milli M, Navazio A, Pascale V, Riccio C, Scicchitano P, Tizzani E, Gabrielli D, Grimaldi M, Colivicchi F, Oliva F. Italian Association of Hospital Cardiologists position paper-obesity in adults: a clinical primer. Eur Heart J Suppl 2024; 26:ii221-ii235. [PMID: 38784672 PMCID: PMC11110455 DOI: 10.1093/eurheartjsupp/suae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Obesity is a chronic and relapsing disease characterized by the interaction between individual predispositions and an obesogenic environment. Recent advances in understanding the mechanisms of energetic homoeostasis paved the way to more effective therapeutic approaches compared with traditional treatments. Since obesity is a complex disease, it necessitates a multi-disciplinary approach whose implementation remains challenging. Nonetheless, emerging pharmacological interventions appear promising. Currently, therapeutic success is discreet in the short term but often fails to maintain long-term weight loss due to a high likelihood of weight regain. Cardiologists play a key role in managing patients with obesity, yet often lack familiarity with its comprehensive management. The aim of this document is to summarize knowledge to consolidate essential knowledge for clinicians to effectively treat patients living with obesity. The paper emphasizes the pivotal role of a strong patient-clinician relationship in navigating successful treatment. We analyse the criteria commonly used to diagnose obesity and point out the strengths and limitations of different criteria. Furthermore, we discuss the role of obesiologists and the contributions of cardiologists. In addition, we detail key components of effective therapeutic strategies, including educational aspects and pharmacological options.
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Affiliation(s)
- Stefania Angela Di Fusco
- U.O.C. Cardiologia Clinica e Riabilitativa, Dipartimento di Emergenza e Accettazione, Presidio Ospedaliero San Filippo Neri—ASL Roma 1, via Martinotti 20, 00135 Roma, Italy
| | - Edoardo Mocini
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Mauro Gori
- Dipartimento Cardiovascolare, SSD Chirurgia dei Trapianti e del Trattamento Chirurgico dello Scompenso, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Massimo Iacoviello
- S.C. Di Cardiologia Universitaria-Utic Policlinico Riuniti, Foggia, Italy
| | - Claudio Bilato
- U.O.C. Cardiologia, Dipartimento di Medicina Cardiovascolare, Ospedali dell’Ovest Vicentino, Azienda ULSS 8 Berica, Vicenza, Italy
| | - Marco Corda
- S.C. Cardiologia e UTIC, Dipartimento Cardiovascolare, Azienda Ospedaliera G. Brotzu, Cagliari, Italy
| | - Leonardo De Luca
- Division of Cardiology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Giovanna Geraci
- U.O. Cardiologia, P.O. Sant’Antonio Abate, ASP Trapani, Erice, TP, Italy
| | - Attilio Iacovoni
- Dipartimento Cardiovascolare, SSD Chirurgia dei Trapianti e del Trattamento Chirurgico dello Scompenso, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Massimo Milli
- Cardiologia Firenze 1 (Ospedali S. Maria Nuova e Nuovo San Giovanni di Dio), Azienda USL Toscana Centro, Firenze, Italy
| | - Alessandro Navazio
- S.O.C. Cardiologia Ospedaliera, Presidio Ospedaliero Arcispedale Santa Maria Nuova, Azienda USL di Reggio Emilia—IRCCS, Reggio Emilia, Italy
| | - Vittorio Pascale
- SOC di Cardiologia-UTIC-Emodinamica e Cardiologia Interventistica, Presidio Ospedaliero ‘Pugliese’, Azienda Ospedaliero-Universitaria ‘Renato Dulbecco’, Catanzaro, Italy
| | - Carmine Riccio
- Dipartimento Cardio-Vascolare, U.O.S.D. Follow-up del Paziente Post-Acuto, AORN Sant’Anna e San Sebastiano, Caserta, Italy
| | | | - Emanuele Tizzani
- Dipartimento di Cardiologia, Ospedale degli Infermi, Rivoli, TO, Italy
| | - Domenico Gabrielli
- Fondazione per il Tuo cuore—Heart Care Foundation, Firenze, Italy
- Dipartimento Cardio-Toraco-Vascolare, U.O.C. Cardiologia, Azienda Ospedaliera San Camillo Forlanini, Roma, Italy
| | - Massimo Grimaldi
- U.O.C. Cardiologia-UTIC, Ospedale Miulli, Acquaviva delle Fonti, BA, Italy
| | - Furio Colivicchi
- U.O.C. Cardiologia Clinica e Riabilitativa, Dipartimento di Emergenza e Accettazione, Presidio Ospedaliero San Filippo Neri—ASL Roma 1, via Martinotti 20, 00135 Roma, Italy
| | - Fabrizio Oliva
- Cardiologia 1-Emodinamica, Dipartimento Cardiotoracovascolare ‘A. De Gasperis’, ASST Grande Ospedale Metropolitano Niguarda, Milano, Italy
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Wang Z, Shao X, Xu W, Xue B, Zhong S, Yang Q. The relationship between weight-adjusted-waist index and diabetic kidney disease in patients with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2024; 15:1345411. [PMID: 38559695 PMCID: PMC10978751 DOI: 10.3389/fendo.2024.1345411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose Obesity, particularly abdominal obesity, is seen as a risk factor for diabetic complications. The weight-adjusted-waist index (WWI) is a recently developed index for measuring adiposity. Our goal was to uncover the potential correlation between the WWI index and diabetic kidney disease (DKD) risk. Methods This cross-sectional study included adults with type 2 diabetes mellitus (T2DM) who participated in the NHANES database (2007-2018). The WWI index was calculated as waist circumference (WC, cm) divided by the square root of weight (kg). DKD was diagnosed based on impaired estimated glomerular filtration rate (eGFR<60 mL/min/1.73m2), albuminuria (urinary albumin to urinary creatinine ratio>30 mg/g), or both in T2DM patients. The independent relationship between WWI index and DKD risk was evaluated. Results A total of 5,028 participants with T2DM were included, with an average WWI index of 11.61 ± 0.02. As the quartile range of the WWI index increased, the prevalence of DKD gradually increased (26.76% vs. 32.63% vs. 39.06% vs. 42.96%, P<0.001). After adjusting for various confounding factors, the WWI index was independently associated with DKD risk (OR=1.32, 95%CI:1.12-1.56, P<0.001). The area under the ROC curve (AUC) of the WWI index was higher than that of body mass index (BMI, kg/m2) and WC. Subgroup analysis suggested that the relationship between the WWI index and DKD risk was of greater concern in patients over 60 years old and those with cardiovascular disease. Conclusions Our findings suggest that higher WWI levels are linked to DKD in T2DM patients. The WWI index could be a cost-effective and simple way to detect DKD, but further prospective studies are needed to confirm this.
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Affiliation(s)
- Zhaoxiang Wang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China
| | - Xuejing Shao
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
| | - Wei Xu
- Department of Nephrology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
| | - Bingshuang Xue
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
| | - Shao Zhong
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China
| | - Qichao Yang
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, China
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Suthahar N, Zwartkruis V, Geelhoed B, Withaar C, Meems LMG, Bakker SJL, Gansevoort RT, van Veldhuisen DJ, Rienstra M, de Boer RA. Associations of relative fat mass and BMI with all-cause mortality: Confounding effect of muscle mass. Obesity (Silver Spring) 2024; 32:603-611. [PMID: 38200704 DOI: 10.1002/oby.23953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 10/09/2023] [Accepted: 10/19/2023] [Indexed: 01/12/2024]
Abstract
OBJECTIVE The study objective was to examine associations of relative fat mass (RFM) and BMI with all-cause mortality in the Dutch general population and to investigate whether additional adjustment for muscle mass strengthened these associations. METHODS A total of 8433 community-dwelling adults from the PREVEND general population cohort (1997-1998) were included. Linear regression models were used to examine associations of RFM and BMI with 24-h urinary creatinine excretion, a marker of total muscle mass. Cox regression models were used to examine associations of RFM and BMI with all-cause mortality. RESULTS The mean age of the cohort was 49.8 years (range: 28.8-75.7 years), and 49.9% (n = 4209) were women. In age- and sex-adjusted models, both RFM and BMI were associated with total muscle mass (24-h urinary creatinine excretion), and these associations were stronger with BMI (standardized beta [Sβ]RFM : 0.29; 95% CI: 0.27-0.31 vs. SβBMI : 0.38; 95% CI: 0.36-0.40; pdifference < 0.001). During a median follow-up period of 18.4 years, 1640 deaths (19.4%) occurred. In age- and sex-adjusted models, RFM was significantly associated with all-cause mortality (hazard ratio per 1-SD [HRRFM ]: 1.16; 95% CI: 1.09-1.24), whereas BMI was not (HRBMI : 1.04; 95% CI: 0.99-1.10). After additional adjustment for muscle mass, associations of both RFM and BMI with all-cause mortality increased in magnitude (HRRFM : 1.24; 95% CI: 1.16-1.32 and HRBMI : 1.12; 95% CI: 1.06-1.19). Results were broadly similar in multivariable adjusted models. CONCLUSIONS In the general population, a higher RFM was significantly associated with mortality risk, whereas a higher BMI was not. Adjusting for total muscle mass increased the strength of associations of both RFM and BMI with all-cause mortality.
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Affiliation(s)
- Navin Suthahar
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Victor Zwartkruis
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bastiaan Geelhoed
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Coenraad Withaar
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Laura M G Meems
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Internal Medicine, Nephrology Division, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, Nephrology Division, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Dirk Jan van Veldhuisen
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Michiel Rienstra
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Saei Ghare Naz M, Mousavi M, Noroozzadeh M, Farahmand M, Azizi F, Ramezani Tehrani F. To what extent the weight changes impact the risk of hypertension among menopausal women: insights from Tehran lipid and glucose study. BMC Womens Health 2024; 24:128. [PMID: 38373927 PMCID: PMC10877883 DOI: 10.1186/s12905-024-02974-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/14/2024] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND & AIM The association between weight change and incident hypertension (HTN) in menopausal women has not been well characterized. This study aimed to determine whether weight changes after menopausal years make a difference in incidents of hypertension. MATERIALS & METHODS This population-based study was performed using data collected from Tehran Lipid and Glucose Study cohort (1999-2018). Women who had natural and early menopause were followed up every 3 years. Data gathering was performed through the standard protocol of the study. Statistical analysis was performed using multivariable Cox hazard regression analysis. We used the 'survival' package in the R software version 3.6.0 to fit survival models. RESULTS A total of 487 menopausal women met the inclusion criteria; 62.6% had natural menopause and remained had early menopause. Among the participants, 65.5% experienced HTN. The highest proportion of participants had > 5% weight gain, while the lowest had 3-5% weight gain. Either losing body weight (lost > 5%: HR: 0.44; CI 95%, 0.32, 0.62; p < 0.001), (lost 3-5%; HR: 0.47; CI 95%, 0.26, 0.84; p = 0.01), and weight gain > 5% (HR: 0.69; CI 95%, 0.51, 0.91; p = 0.01), were associated with decreased risk of HTN after adjustment for confounders. In this study, weight loss and gain have a protective impact on the development of HTN in subjects. For incident HTN, age (HR: 1.04 (1.01, 1.08), p = 0.004), fasting blood glucose (HR: 1.01, CI 95%:1.00, 1.01; p < 0.001), body mass index (1.02 (1.00, 1.05), p = 0.03) and smoking (1.70 (1.11, 2.58), p = 0.01) were positively associated with HTN. CONCLUSIONS Our study indicates the significant association of weight change with hypertension risk in later life among menopausal women.
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Affiliation(s)
- Marzieh Saei Ghare Naz
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Mousavi
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mahsa Noroozzadeh
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Farahmand
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fahimeh Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- The Foundation for Research & Education Excellence, AL, USA.
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Li M, Yu X, Zhang W, Yin J, Zhang L, Luo G, Liu Y, Yang J. The association between weight-adjusted-waist index and depression: Results from NHANES 2005-2018. J Affect Disord 2024; 347:299-305. [PMID: 38000467 DOI: 10.1016/j.jad.2023.11.073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/31/2023] [Accepted: 11/18/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVE The weight-adjusted-waist index (WWI) serves as an innovative obesity measure, seemingly surpassing body mass index (BMI) and waist circumference (WC) in evaluating lean and fat mass. This study aimed to explore the relationship between WWI and depression in United States (US) adults. METHODS This population-based study investigated adults with comprehensive WWI and PHQ-9 (9-item Patient Health Questionnaire) data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. WWI was computed by dividing WC by the square root of body weight. Weighted multivariate logistic regression and smoothed curve fitting were employed to examine linear and non-linear associations. Additionally, subgroup analyses and interaction tests were conducted. RESULTS A total of 34,528 participants were enrolled with a prevalence of depression of 7.61 %. WWI was positively related to depression with the full adjustment [odds ratio (OR) = 1.21, 95 % confidence interval (95 % CI): 1.13-1.29]. After converting WWI to a categorical variable by quartiles (Q1-Q4), compared to Q1 the highest WWI quartile was linked to an obviously increased likelihood of depression (OR = 1.51, 95 % CI: 1.29-1.76). Subgroup analysis revealed the stability of the independent positive relationship between WWI and depression (all P for trend >0.05). CONCLUSION WWI levels were positively related to an increased likelihood of depression in US adults. Our findings indicated that WWI may serve as a simple anthropometric index to predict depression.
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Affiliation(s)
- Meng Li
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Xue Yu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Wenhui Zhang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Lu Zhang
- The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250000, China
| | - Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Yuanxiang Liu
- Department of Neurology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
| | - Jiguo Yang
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250000, China.
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Li P, Huang Y, Wong A. Behavioural strategies to reduce obesity among lower socio-economic adults living in high-income countries: a Grades of Recommendation, Assessment, Development and Evaluation-assessed systematic review and meta-analysis of randomised controlled trials. Br J Nutr 2024; 131:544-552. [PMID: 37622175 DOI: 10.1017/s0007114523001940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
Adult obesity disproportionately affects lower socio-economic groups in high-income countries and perpetuates health inequalities, imposing health and socio-economic burden. This review evaluates the effectiveness of behavioural strategies in reducing weight and cardiovascular disease (CVD) risks among low-income groups based in high-income countries. We searched major databases for randomised controlled trials published between 1 November 2011 and 1 May 2023. Meta-analyses and subgroup analyses were undertaken to analyse the pooled and individual effects of behavioural strategies. Cochrane Risk of bias (RoB 2·0) tool and Grades of Recommendation, Assessment, Development and Evaluation (GRADE) criteria were used to assess the quality and certainty of evidence. Fourteen trials (3618 adults, aged 40·2 ± 9·7 years with BMI 33·6 ± 2·8 kg/m2) and nine unique interventions were identified. Three trials with high RoB were omitted. Meta-analysis favoured interventions, demonstrating significant reductions in body weight (MD: -1·56 kg, (95 % CI -2·09, -1·03)) and HbA1c (MD: -0·05 %, (95 % CI - 0·10, -0·001)) at intervention end. Sub-group analysis showed no differences in waist circumference, blood pressure or serum lipids. Financial incentives and interactive feedback produced greatest amounts of weight losses ≥ 2 kg (GRADE: moderate). Behavioural strategies are effective weight loss interventions among lower socio-economic groups living in high-income nations. However, the impact on CVD risk remains unclear.
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Affiliation(s)
- Priscilla Li
- Department of Dietetics, Changi General Hospital, 529889Singapore, Singapore
- King's College London, Department of Population Health Sciences, London, UK
| | - Yingxiao Huang
- Department of Dietetics, Changi General Hospital, 529889Singapore, Singapore
| | - Alvin Wong
- Department of Dietetics, Changi General Hospital, 529889Singapore, Singapore
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Wu Y, Zhang H, Jiang D, Yin F, Guo P, Zhang X, Zhang J, Han Y. Body mass index and the risk of abdominal aortic aneurysm presence and post-operative mortality: a systematic review and dose-response meta-analysis. Int J Surg 2024; 110:01279778-990000000-01023. [PMID: 38320094 PMCID: PMC11020033 DOI: 10.1097/js9.0000000000001125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/09/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND The clinical data regarding the relationships between body mass index (BMI) and abdominal aortic aneurysm (AAA) are inconsistent, especially for the obese and overweight patients. The aims of this study were to determine whether obesity is associated with the presence of AAA and to investigate the quantitative relationship between BMI and the risk of AAA presence and post-operative mortality. MATERIALS AND METHODS PubMed, Web of Science and Embase databases were used to search for pertinent studies updated to December 2023. The pooled relative risk (RR) with 95% confidence interval (CI) was estimated by conventional meta-analysis based on random effects model. Dose-response meta-analyses using robust-error meta-regression (REMR) model were conducted to quantify the associations between BMI and AAA outcome variables. Subgroup analysis, sensitivity analysis and publication bias analysis were performed according to the characteristics of participants. RESULTS 18 studies were included in our study. The meta-analysis showed a higher prevalence of AAA with a RR of 1.07 in patients with obesity. The dose-response meta-analysis revealed a non-linear relationship between BMI and the risk of AAA presence. A "U" shape curve reflecting the correlation between BMI and the risk of post-operative mortality in AAA patients was also uncovered, suggesting the "safest" BMI interval [28.55, 31.05] with the minimal RR. CONCLUSIONS Obesity is positively but nonlinearly correlated with the increased risk of AAA presence. BMI is related to AAA post-operative mortality in a "U" shaped curve, with the lowest RR observed among patients suffering from overweight and obesity. These findings offer a preventive strategy for AAA morbidity and provide guidance for improving the prognosis in patients undergone AAA surgical repair.
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Affiliation(s)
- Yihao Wu
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
| | - Hao Zhang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
| | - Deying Jiang
- Department of Vascular Surgery, Central Hospital of Dalian University of Technology Dalian
| | - Fanxing Yin
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
| | - Panpan Guo
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
| | - Xiaoxu Zhang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
| | - Jian Zhang
- Department of Vascular Surgery, The First Hospital of China Medical University, Shenyang, People’s Republic of China
| | - Yanshuo Han
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin
- Department of Vascular Surgery, Central Hospital of Dalian University of Technology Dalian
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Ahn YH, Yoon SM, Lee J, Lee SM, Oh DK, Lee SY, Park MH, Lim CM, Lee HY. Early Sepsis-Associated Acute Kidney Injury and Obesity. JAMA Netw Open 2024; 7:e2354923. [PMID: 38319660 PMCID: PMC10848068 DOI: 10.1001/jamanetworkopen.2023.54923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/14/2023] [Indexed: 02/07/2024] Open
Abstract
Importance The prevalence of obesity is increasing in the intensive care unit (ICU). Although obesity is a known risk factor for chronic kidney disease, its association with early sepsis-associated acute kidney injury (SA-AKI) and their combined association with patient outcomes warrant further investigation. Objective To explore the association between obesity, early SA-AKI incidence, and clinical outcomes in patients with sepsis. Design, Setting, and Participants This nationwide, prospective cohort study analyzed patients aged 19 years or older who had sepsis and were admitted to 20 tertiary hospital ICUs in Korea between September 1, 2019, and December 31, 2021. Patients with preexisting stage 3A to 5 chronic kidney disease and those with missing body mass index (BMI) values were excluded. Exposures Sepsis and hospitalization in the ICU. Main Outcomes and Measures The primary outcome was SA-AKI incidence within 48 hours of ICU admission, and secondary outcomes were mortality and clinical recovery (survival to discharge within 30 days). Patients were categorized by BMI (calculated as weight in kilograms divided by height in meters squared), and data were analyzed by logistic regression adjusted for key characteristics and clinical factors. Multivariable fractional polynomial regression models and restricted cubic spline models were used to analyze the clinical outcomes with BMI as a continuous variable. Results Of the 4041 patients (median age, 73 years [IQR, 63-81 years]; 2349 [58.1%] male) included in the study, 1367 (33.8%) developed early SA-AKI. Obesity was associated with a higher incidence of SA-AKI compared with normal weight (adjusted odds ratio [AOR], 1.40; 95% CI, 1.15-1.70), as was every increase in BMI of 10 (OR, 1.75; 95% CI, 1.47-2.08). While obesity was associated with lower in-hospital mortality in patients without SA-AKI compared with their counterparts without obesity (ie, underweight, normal weight, overweight) (AOR, 0.72; 95% CI, 0.54-0.94), no difference in mortality was observed in those with SA-AKI (AOR, 0.85; 95% CI, 0.65-1.12). Although patients with obesity without SA-AKI had a greater likelihood of clinical recovery than their counterparts without obesity, clinical recovery was less likely among those with both obesity and SA-AKI. Conclusions and Relevance In this cohort study of patients with sepsis, obesity was associated with a higher risk of early SA-AKI and the presence of SA-AKI modified the association of obesity with clinical outcomes.
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Affiliation(s)
- Yoon Hae Ahn
- Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea
| | - Si Mong Yoon
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jinwoo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Sang-Min Lee
- Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Dong Kyu Oh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Korea
| | - Su Yeon Lee
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Korea
| | - Mi Hyeon Park
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Korea
| | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, Seoul, Korea
| | - Hong Yeul Lee
- Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea
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Ge YZ, Liu T, Deng L, Zhang Q, Liu CA, Ruan GT, Xie HL, Song MM, Lin SQ, Yao QH, Shen X, Shi HP. The age-related obesity paradigm: results from two large prospective cohort studies. J Cachexia Sarcopenia Muscle 2024; 15:442-452. [PMID: 38146198 PMCID: PMC10834317 DOI: 10.1002/jcsm.13415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 10/12/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND The obesity paradigm has been a health concern globally for many years, its meaning is controversial. In this study, we assess the characteristics and causes of obesity paradigm and detail the mediation of obesity and inflammation on survival. METHODS The original cohort included participants from the US National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, a prospective cohort of a nationally representative sample of adult participants; the oncology validation cohort included patients from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) from 2013 to 2021, a prospective cohort of Chinese patients with cancer. Survival analysis was performed using weighted (NHANES) or unweighted (INSCOC) Cox survival analyses. The normal BMI group was used as a reference for all comparisons. Systemic inflammation was defined as neutrophil-to-lymphocyte ratio (NLR) > 3. Model-based causal mediation analysis was used to identify the mediators. RESULTS A total of 52 270 (weighted population: 528506229) participants of the NHANES [mean follow-up times: 10.2 years; mean age (SD): 47 (19.16) years] were included in the original cohort; and a total of 17 418 patients with cancer of INSCOC [mean follow-up times: 2.9 years; mean age (SD): 57.37 (11.66) years] were included in the validation cohort. In the subgroups of all the participants, the obesity paradigm was more apparent in older participants and participants with disease [HR (95% CI): age ≥ 65 years, 0.84 (0.76, 0.93); with cancer, 0.84 (0.71, 0.99); with CVD, 0.74 (0.65, 0.85)]. As aged, the protective effect of a high BMI on survival gradually increased and a high BMI showed the effect of a protective factor on older participants [for obese II, HR (95% CI): young adults, 1.91 (1.40, 2.62); middle age, 1.56 (1.28, 1.91); old adults, 0.85 (0.76, 0.96]). The aged-related obesity paradigm in patients with cancer from the NHANES was verified in the INSCOC cohorts [for obese, HR (95%CI): 0.65 (0.52, 0.81)]. The NLR is an important mediator of the effect of BMI on survival (proportion of mediation = 15.4%). CONCLUSIONS The obesity paradigm has a strong correlation with age. Relative to normal weight, obese in young people was association with higher all-cause mortality, and obese in elderly people was not association with higher mortality. The protection of obesity is association with systemic inflammation.
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qin-Hua Yao
- Department of Integrated Chinese and Western Medicine, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- Integrated Traditional Chinese and Western Medicine Oncology Laboratory, Key Laboratory of Traditional Chinese Medicine of Zhejiang Province, Hangzhou, China
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, China
| | - Xian Shen
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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Tan You Mei C, Seah Si Ying S, Yanshan DL, Koh SV, Karthikeyan G, Xia Jiawen O, Low XL, Quek HY, Ong Shuyi A, Low LL, Aw J. Prevalence and factors associated with sarcopenia among older adults in a post-acute hospital in Singapore. PLoS One 2024; 19:e0291702. [PMID: 38285652 PMCID: PMC10824417 DOI: 10.1371/journal.pone.0291702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 01/09/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Sarcopenia is common in older adults worldwide, but its prevalence varies widely owing to differences in diagnostic criteria, population sampled, and care setting. We aimed to determine the prevalence and factors associated with sarcopenia in patients aged 65 and above admitted to a post-acute hospital in Singapore. METHODS This was a cross-sectional study of 400 patients recruited from a community hospital in Singapore. Data including socio-demographics, physical activity, nutritional status, cognition, clinical and functional status, as well as anthropometric measurements were collected. Sarcopenia was defined using the Asian Working Group for Sarcopenia 2019 criteria [AWGS2019]. RESULTS Of the 383 patients with complete datasets, overall prevalence of sarcopenia was 54% while prevalence of severe sarcopenia was 38.9%. Participants with increased age, male gender and a low physical activity level were more likely to be sarcopenic, while those with higher hip circumference and higher BMI of ≥27.5m/kg2 were less likely to be sarcopenic. Other than the above-mentioned variables, cognitive impairment was also associated with severe sarcopenia. CONCLUSIONS More than 1 in 2 older adults admitted to a post-acute hospital in Singapore are sarcopenic. There is an urgent need to address this important clinical syndrome burden and to identify patients at risk of sarcopenia in post-acute settings in Singapore for early intervention.
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Affiliation(s)
- Charmaine Tan You Mei
- Post-Acute and Continuing Care Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
- SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore
| | - Sharna Seah Si Ying
- Research and Translational Innovation Office, SingHealth Community Hospitals, Singapore, Singapore
| | - Doris Lim Yanshan
- Rehabilitation Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
| | - Siew Van Koh
- Rehabilitation Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
| | - Ganeshan Karthikeyan
- Rehabilitation Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
| | - Olivia Xia Jiawen
- Research and Translational Innovation Office, SingHealth Community Hospitals, Singapore, Singapore
| | - Xuan Lin Low
- Department of Health and Social Science, Singapore Institute of Technology, Singapore, Singapore
| | - Hui Yi Quek
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Andrea Ong Shuyi
- Post-Acute and Continuing Care Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
| | - Lian Leng Low
- Post-Acute and Continuing Care Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
- SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore
| | - Junjie Aw
- Post-Acute and Continuing Care Department, Outram Community Hospital, SingHealth Community Hospitals, Singapore, Singapore
- SingHealth Duke-NUS Family Medicine Academic Clinical Program, Singapore, Singapore
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Becerril-Gaitan A, Ding D, Ironside N, Southerland AM, Worrall BB, Testai FD, Flaherty ML, Elkind MS, Koch S, Sung G, Kittner SJ, Mayson DJ, Gonzales N, McCauley JL, Malkoff M, Hall CE, Frankel MR, James ML, Anderson CD, Aronowski J, Savitz SI, Woo D, Chen CJ. Association Between Body Mass Index and Functional Outcomes in Patients With Intracerebral Hemorrhage. Neurology 2024; 102:e208014. [PMID: 38165334 PMCID: PMC10870743 DOI: 10.1212/wnl.0000000000208014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/13/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Evidence of the so-called "obesity paradox," which refers to the protective effect and survival benefit of obesity in patients with spontaneous intracerebral hemorrhage (ICH), remains controversial. This study aims to determine the association between body mass index (BMI) and functional outcomes in patients with ICH and whether it is modified by race/ethnicity. METHODS Included individuals were derived from the Ethnic/Racial Variations of Intracerebral Hemorrhage study, which prospectively recruited 1,000 non-Hispanic White, 1,000 non-Hispanic Black, and 1,000 Hispanic patients with spontaneous ICH. Only patients with available BMI were included. The primary outcome was 90-day mortality. Secondary outcomes were mortality at discharge, modified Rankin Scale (mRS), Barthel Index, and self-reported health status measures at 90 days. Associations between BMI and ICH outcomes were assessed using univariable and multivariable logistic, ordinal, and linear regression models, as appropriate. Sensitivity analyses after excluding frail patients and by patient race/ethnicity were performed. RESULTS A total of 2,841 patients with ICH were included. The median age was 60 years (interquartile range 51-73). Most patients were overweight (n = 943; 33.2%) or obese (n = 1,032; 36.3%). After adjusting for covariates, 90-day mortality was significantly lower among overweight and obese patients than their normal weight counterparts (adjusted odds ratio [aOR] = 0.71 [0.52-0.98] and aOR = 0.70 [0.50-0.97], respectively). Compared with patients with BMI <25 kg/m2, those with BMI ≥25 kg/m2 had better 90-day mRS (aOR = 0.80 [CI 0.67-0.95]), EuroQoL Group 5-Dimension (EQ-5D) (aβ = 0.05 [0.01-0.08]), and EQ-5D VAS (aβ = 3.80 [0.80-6.98]) scores. These differences persisted after excluding withdrawal of care patients. There was an inverse relationship between BMI and 90-day mortality (aOR = 0.97 [0.96-0.99]). Although non-Hispanic White patients had significantly higher 90-day mortality than non-Hispanic Black and Hispanic (26.6% vs 19.5% vs 18.0%, respectively; p < 0.001), no significant interactions were found between BMI and race/ethnicity. No significant interactions between BMI and age or sex for 90-day mortality were found, whereas for 90-day mRS, there was a significant interaction with age (pinteraction = 0.004). CONCLUSION We demonstrated that a higher BMI is associated with decreased mortality, improved functional outcomes, and better self-reported health status at 90 days, thus supporting the paradoxical role of obesity in patients with ICH. The beneficial effect of high BMI does not seem to be modified by race/ethnicity or sex, whereas age may play a significant role in patient functional outcomes.
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Affiliation(s)
- Andrea Becerril-Gaitan
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Dale Ding
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Natasha Ironside
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Andrew M Southerland
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Bradford B Worrall
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Fernando D Testai
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Matthew L Flaherty
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Mitchell S Elkind
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Sebastian Koch
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Gene Sung
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Steven J Kittner
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Douglas J Mayson
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Nicole Gonzales
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Jacob L McCauley
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Marc Malkoff
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Christiana E Hall
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Michael R Frankel
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Michael L James
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Christopher D Anderson
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Jaroslaw Aronowski
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Sean I Savitz
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Daniel Woo
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
| | - Ching-Jen Chen
- From the Departments of Neurosurgery (A.B.-G., C.-J.C.) and Neurology (J.A., S.I.S.), The University of Texas Health Science Center at Houston; Department of Neurosurgery (D.D.), University of Louisville, KY; Department of Neurosurgery (N.I.); Departments of Neurology and Public Health Sciences (A.M.S., B.B.W.), University of Virginia Health System, Charlottesville; Department of Neurology and Rehabilitation (F.D.T.), University of Illinois College of Medicine, Chicago; Department of Neurology (M.L.F., D.W.), University of Cincinnati, OH; Department of Neurology (M.S.E.), Vagelos College of Physicians and Surgeons and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York; Department of Neurology (S.K.) and John P. Hussman Institute for Human Genomics (J.L.M.), University of Miami Miller School of Medicine, FL; Department of Neurology and Neurocritical Care and Stroke (G.S.), Keck School of Medicine, University of Southern California, Los Angeles; Department of Neurology (S.J.K.), University of Maryland School of Medicine, Baltimore; Department of Neurology (D.J.M.), MedStar Georgetown University Hospital, Washington, DC; Department of Neurology (N.G.), University of Colorado School of Medicine, Aurora; Departments of Neurology and Neurosurgery (M.M.), University of Tennessee Health Sciences, Memphis; Department of Neurology (C.E.H.), University of Texas Southwestern, Dallas; Department of Neurology (M.R.F.), Emory University, Grady Memorial Hospital, Atlanta, GA; Departments of Anesthesiology and Neurology (M.L.J.), Duke Clinical Research Institute, Duke University, Durham, NC; and Henry and Allison McCane Center for Brain Health and Center for Genomic Medicine (C.D.A.), Massachusetts General Hospital, Massachusetts, Boston
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Sun H, Huang J, Tang H, Wei B. Association between weight-adjusted-waist index and urge urinary incontinence: a cross-sectional study from NHANES 2013 to 2018. Sci Rep 2024; 14:478. [PMID: 38177657 PMCID: PMC10767076 DOI: 10.1038/s41598-024-51216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 01/02/2024] [Indexed: 01/06/2024] Open
Abstract
This study aimed to investigate the association between urge urinary incontinence (UUI) and weight-adjusted waist circumference index (WWI), a newly developed measure of obesity. Data from the 2013-2018 National Health and Nutrition Examination Survey (NHANES) were included in the present cross-sectional study. Urge urinary incontinence was identified by self-reported urine leakage before reaching the toilet. Weighted multivariate logistic regression and generalized additive models were used to investigate the connection between WWI and UUI and its nonlinearity. The nonlinear relationship was explored using smoothed curve fitting. Additionally, further analyses were performed on subgroups and interaction tests were conducted. In the study, a total of 14,118 individuals were enrolled, with a UUI prevalence rate of 21.18%. Overall UUI was more prevalent with elevated WWI (OR 1.20, 95% CI 1.13-12.8, P < 0.0001), which similar results were observed in weekly (OR 1.32, 95% CI 1.18-1.48, P < 0.0001) and daily (OR 1.27, 95% CI 1.06-1.53, P = 0.0091) UUI. And this connection remained steady among all subgroups (P > 0.05 for all interactions). Smoothed curve fitting showed no nonlinear relationship between WWI and UUI. In addition, a stronger correlation was found between WWI and UUI risk than other obesity indicators such as waist circumference (WC) and body mass index (BMI). Among US adults, weight-adjusted waist circumference index values are positively associated with elevated odds of UUI and show stronger associations than WC and BMI. Further studies are required to elucidate the causal relationship between WWI and UUI.
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Affiliation(s)
- Haohao Sun
- Department of Urology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Jingxi Huang
- Department of Urology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Hao Tang
- Department of Urology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China
| | - Bingbing Wei
- Department of Urology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, 214023, China.
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Di Fusco SA, Mocini E, Gulizia MM, Gabrielli D, Grimaldi M, Oliva F, Colivicchi F. ANMCO (Italian Association of Hospital Cardiologists) scientific statement: obesity in adults-an approach for cardiologists. Eat Weight Disord 2024; 29:1. [PMID: 38168872 PMCID: PMC10761446 DOI: 10.1007/s40519-023-01630-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 11/27/2023] [Indexed: 01/05/2024] Open
Abstract
Obesity is a complex, chronic disease requiring a multidisciplinary approach to its management. In clinical practice, body mass index and waist-related measurements can be used for obesity screening. The estimated prevalence of obesity among adults worldwide is 12%. With the expected further increase in overall obesity prevalence, clinicians will increasingly be managing patients with obesity. Energy balance is regulated by a complex neurohumoral system that involves the central nervous system and circulating mediators, among which leptin is the most studied. The functioning of these systems is influenced by both genetic and environmental factors. Obesity generally occurs when a genetically predisposed individual lives in an obesogenic environment for a long period. Cardiologists are deeply involved in evaluating patients with obesity. Cardiovascular risk profile is one of the most important items to be quantified to understand the health risk due to obesity and the clinical benefit that a single patient can obtain with weight loss. At the individual level, appropriate patient involvement, the detection of potential obesity causes, and a multidisciplinary approach are tools that can improve clinical outcomes. In the near future, we will probably have new pharmacological tools at our disposal that will facilitate achieving and maintaining weight loss. However, pharmacological treatment alone cannot cure such a complex disease. The aim of this paper is to summarize some key points of this field, such as obesity definition and measurement tools, its epidemiology, the main mechanisms underlying energy homeostasis, health consequences of obesity with a focus on cardiovascular diseases and the obesity paradox.Level of evidence V: report of expert committees.
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Affiliation(s)
- Stefania Angela Di Fusco
- Emergency Department, Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, ASL Roma 1, Rome, Italy
| | - Edoardo Mocini
- Department of Experimental Medicine, Sapienza University, 00161, Rome, Italy.
| | | | - Domenico Gabrielli
- Cardio-Thoracic-Vascular Department, San Camillo-Forlanini Hospital, Rome, Italy
- Heart Care Foundation, Florence, Italy
| | - Massimo Grimaldi
- Department of Cardiology, General Regional Hospital "F. Miulli", Acquaviva delle Fonti, 70021, Bari, Italy
| | - Fabrizio Oliva
- De Gasperis Cardio Center, Niguarda Hospital, 20162, Milan, Italy
| | - Furio Colivicchi
- Emergency Department, Clinical and Rehabilitation Cardiology Unit, San Filippo Neri Hospital, ASL Roma 1, Rome, Italy
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Ripoll JG, ElSaban M, Nabzdyk CS, Balakrishna A, Villavicencio MA, Calderon-Rojas RD, Ortoleva J, Chang MG, Bittner EA, Ramakrishna H. Obesity and Extracorporeal Membrane Oxygenation (ECMO): Analysis of Outcomes. J Cardiothorac Vasc Anesth 2024; 38:285-298. [PMID: 37953169 DOI: 10.1053/j.jvca.2023.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 10/16/2023] [Indexed: 11/14/2023]
Abstract
Traditionally, patients with obesity have been deemed ineligible for extracorporeal life support (ELS) therapies such as extracorporeal membrane oxygenation (ECMO), given the association of obesity with chronic health conditions that contribute to increased morbidity and mortality. Nevertheless, a growing body of literature suggests the feasibility, efficacy, and safety of ECMO in the obese population. This review provides an in-depth analysis of the current literature assessing the effects of obesity on outcomes among patients supported with ECMO (venovenous [VV] ECMO in noncoronavirus disease 2019 and coronavirus disease 2019 acute respiratory distress syndrome, venoarterial [VA] ECMO, and combined VV and VA ECMO), offer a possible explanation of the current findings on the basis of the obesity paradox phenomenon, provides a framework for future studies addressing the use of ELS therapies in the obese patient population, and provides guidance from the literature for many of the challenges related to initiating, maintaining, and weaning ELS therapy in patients with obesity.
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Affiliation(s)
- Juan G Ripoll
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Mariam ElSaban
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN
| | - Christoph S Nabzdyk
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA
| | - Aditi Balakrishna
- Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Jamel Ortoleva
- Department of Anesthesiology, Boston Medical Center, Boston, MA
| | - Marvin G Chang
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Edward A Bittner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Harish Ramakrishna
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
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Eitmann S, Matrai P, Hegyi P, Balasko M, Eross B, Dorogi K, Petervari E. Obesity paradox in older sarcopenic adults - a delay in aging: A systematic review and meta-analysis. Ageing Res Rev 2024; 93:102164. [PMID: 38103840 DOI: 10.1016/j.arr.2023.102164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 11/23/2023] [Accepted: 12/07/2023] [Indexed: 12/19/2023]
Abstract
The prognostic significance of obesity in sarcopenic adults is controversial. This systematic review and meta-analysis aimed to investigate the effect of additional obesity on health outcomes in sarcopenia. MEDLINE, EMBASE, Scopus and CENTRAL were systematically searched for studies to compare health outcomes of adults with sarcopenic obesity (SO) to those of sarcopenic non-obese (SNO) adults. We also considered the methods of assessing obesity. Of 15060 records screened, 65 papers were included (100612 participants). Older community-dwelling SO adults had 15% lower mortality risk than the SNO group (hazard ratio, HR: 0.85, 95% confidence interval 0.76, 0.94) even when obesity was assessed by measurement of body composition. Additionally, meta-regression analysis revealed a significant negative linear correlation between the age and the HR of all-cause mortality in SO vs. SNO community-dwelling adults, but not in severely ill patients. Compared with SNO, SO patients presented lower physical performance, higher risk for metabolic syndrome, but similar cognitive function, risk of falls and cardiovascular diseases. Age-related obesity, SO and later fat loss leading to SNO represent consecutive phases of biological aging. Additional obesity could worsen the health state in sarcopenia, but above 65 years SO represents a biologically earlier phase with longer life expectancy than SNO.
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Affiliation(s)
- Szimonetta Eitmann
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary
| | - Peter Matrai
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary
| | - Peter Hegyi
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary; Centre for Translational Medicine, Semmelweis University, 26 Ulloi street, H-1085 Budapest, Hungary; Division of Pancreatic Diseases, Semmelweis University, 23-26 Baross street, H-1085 Budapest, Hungary
| | - Marta Balasko
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary
| | - Balint Eross
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary; Centre for Translational Medicine, Semmelweis University, 26 Ulloi street, H-1085 Budapest, Hungary; Division of Pancreatic Diseases, Semmelweis University, 23-26 Baross street, H-1085 Budapest, Hungary
| | - Kira Dorogi
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary
| | - Erika Petervari
- Institute for Translational Medicine, Medical School, University of Pecs, 12 Szigeti street, H-7624 Pecs, Hungary.
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41
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Nguyen B, Tselovalnikova T, Drees BM. Gestational Diabetes Mellitus and Metabolic Syndrome: A Review of the Associations and Recommendations. Endocr Pract 2024; 30:78-82. [PMID: 37918624 DOI: 10.1016/j.eprac.2023.10.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/16/2023] [Accepted: 10/27/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) and metabolic syndrome (MetS) share common characteristics and risk factors. Both conditions increase the risk of chronic diseases and, thus, may share a common pathogenesis. This review begins with a clinical vignette, followed by evidence supporting the risk of MetS after GDM among women and their offspring and the risk of having GDM among pregnant women who have MetS before pregnancy. METHODS Research studies published between 2010 and 2023 were identified via several databases, including PubMed, the Web of Science, MEDLINE, Science Direct, ERIC, and EBSCOhost. Search terms included gestational diabetes and metabolic syndrome. Reviews, books/e-books, patents, news, trade publications, reports, dissertations/theses, conference materials, and articles in non-English languages were all excluded. RESULTS MetS increases not only the incidence of GDM during pregnancy but also the risk of diabetes in women with a history of GDM. On the other hand, women with a history of GDM had an almost 4 times increased risk of developing MetS at minimum of 1 year after delivery, and the risk increases with longer time lapse since the index pregnancy. Prepregnancy body mass index appears to be the strongest factor predicting MetS. Children exposed to GDM in utero have at least a 2 times increased risk of MetS in later life. CONCLUSION Timely assessment and continuing surveillance of MetS before and after pregnancy followed by GDM are recommended. Weight management and nutrition counseling are of importance to reduce the risk of GDM and MetS among pregnant women.
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Affiliation(s)
- Bong Nguyen
- Department of Internal Medicine and Department of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
| | - Tatiana Tselovalnikova
- Department of Internal Medicine, School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri
| | - Betty M Drees
- Department of Internal Medicine and Department of Biomedical and Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Graduate School of the Stowers Institute for Medical Research, Kansas City, Missouri
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Lee DU, Bahadur A, Ponder R, Lee KJ, Fan GH, Chou H, Lominadze Z. The causes of death in patients with nonalcoholic steatohepatitis following liver transplantation stratified using pre-liver transplant BMI. Hepatol Int 2023; 17:1393-1415. [PMID: 37160862 PMCID: PMC10767727 DOI: 10.1007/s12072-023-10529-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/18/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND & AIMS Determining the effects of pre-liver transplant (LT) BMI independent of underlying ascites on the post-LT outcomes of patients with nonalcoholic steatohepatitis (NASH) is needed to clarify the paradoxical and protective effects of obesity on post-LT endpoints. In order to accomplish this, we used graded severities of ascites to stratify the NASH-LT population and to perform an ascites-specific strata analysis with differing pre-LT BMI levels. METHODS 2005-2019 United Network for Organ Sharing (UNOS) Standard Transplant Analysis and Research (STAR) database was queried to select patients with NASH, who were categorized into specific sets of ascites severity: no ascites (n = 1188), mild ascites (n = 4463), and moderate ascites (n = 3525). Then, BMI classification (underweight: < 18.5, normal: 18.5-25, overweight: 25-30, obese: ≥ 30 kg/m2) was used to stratify each ascites-specific group and to compare to the post-LT mortality endpoints. Those under 18 years old and those who received living/multi-organ transplants were excluded. RESULTS Among each ascites category, there were the following numbers of normal, underweight, overweight, and obese BMI patients respectively; no ascites: 161, 4, 359, 664; mild ascites: 643, 28, 1311, 2481; and moderate ascites: 529, 25, 1030, 1941. The obese BMI cohort was at a lower risk of all-cause mortality compared to recipients with normal BMI with mild ascites (aHR: 0.79, 95% Confidence Interval (CI) 0.65-0.94, p-value = 0.010; case-incidence 47.10 vs 56.81 deaths per 1000 person-years) and moderate ascites (aHR: 0.77, 95% CI 0.63-0.94, p-value = 0.009; case-incidence 53.71 vs 66.17 deaths per 1000 person-years). In addition, the overweight BMI cohort with mild ascites demonstrated a lower hazard of all-cause mortality (aHR: 0.80, 95% CI 0.66-0.97, p-value = 0.03; case-incidence 49.09 vs 56.81 deaths per 1000 person-years). There was no difference in graft failure for the three BMI groups (underweight, overweight, and obese) in comparison to normal BMI. Furthermore, the overweight BMI group with mild ascites cohort demonstrated a lower hazard of death due to general infectious causes (aHR: 0.51, 95% CI 0.32-0.83, p = 0.006; case-incidence 6.12 vs 11.91 deaths per 1000 person-years) and sepsis (aHR: 0.49, 95% CI 0.27-0.86, p = 0.01; case-incidence 4.31 vs 8.50 deaths per 1000 person-years). CONCLUSION The paradoxical effects of obesity in reducing the risks of all-cause death appears to be in part modulated by ascites. The current study emphasizes the need to evaluate BMI with concomitant ascites severity pre-LT to accurately prognosticate post-LT outcomes when evaluating NASH patients with advanced liver disease.
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Affiliation(s)
- David Uihwan Lee
- Division of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD, 21201, USA.
- Liver Center, Division of Gastroenterology and Hepatology, University of Maryland Medical Center, 22 S Greene St, Baltimore, MD, 21201, USA.
| | - Aneesh Bahadur
- Department of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA
| | - Reid Ponder
- Department of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA
| | - Ki Jung Lee
- Department of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA
| | - Gregory Hongyuan Fan
- Department of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA
| | - Harrison Chou
- Department of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA
| | - Zurabi Lominadze
- Division of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD, 21201, USA
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Huang X, Zeng Y, Ma M, Xiang L, Liu Q, Xiao L, Feng R, Li W, Zhang X, Lin M, Hu Z, Zhao H, Du S, Ye W. Associations between body composition profile and hypertension in different fatty liver phenotypes. Front Endocrinol (Lausanne) 2023; 14:1247110. [PMID: 38089604 PMCID: PMC10714003 DOI: 10.3389/fendo.2023.1247110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
Background It is currently unclear whether and how the association between body composition and hypertension varies based on the presence and severity of fatty liver disease (FLD). Methods FLD was diagnosed using ultrasonography among 6,358 participants. The association between body composition and hypertension was analyzed separately in the whole population, as well as in subgroups of non-FLD, mild FLD, and moderate/severe FLD populations, respectively. The mediation effect of FLD in their association was explored. Results Fat-related anthropometric measurements and lipid metabolism indicators were positively associated with hypertension in both the whole population and the non-FLD subgroup. The strength of this association was slightly reduced in the mild FLD subgroup. Notably, only waist-to-hip ratio and waist-to-height ratio showed significant associations with hypertension in the moderate/severe FLD subgroup. Furthermore, FLD accounted for 17.26% to 38.90% of the association between multiple body composition indicators and the risk of hypertension. Conclusions The association between body composition and hypertension becomes gradually weaker as FLD becomes more severe. FLD plays a significant mediating role in their association.
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Affiliation(s)
- Xiaoyin Huang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yuchen Zeng
- Department of Ultrasonography, The Affiliated Fuqing Hospital of Fujian Medical University, Fuqing, China
| | - Mingyang Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Liangguang Xiang
- Department of General Surgery, The Affiliated Fuqing Hospital of Fujian Medical University, Fuqing, China
| | - Qingdan Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Ling Xiao
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Ruimei Feng
- Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Wanxin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiaoling Zhang
- Department of Ultrasonography, The Affiliated Fuqing Hospital of Fujian Medical University, Fuqing, China
| | - Moufeng Lin
- Department of Public Health, The Fifth Hospital of Fuqing City, Fuqing, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Hongwei Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX, United States
| | - Shanshan Du
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Weimin Ye
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Putra IGNE, Daly M, Sutin A, Steptoe A, Robinson E. The psychological legacy of past obesity and early mortality: evidence from two longitudinal studies. BMC Med 2023; 21:448. [PMID: 37974151 PMCID: PMC10655273 DOI: 10.1186/s12916-023-03148-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND We test a novel 'weight scarring' hypothesis which suggests that past obesity is associated with impairments in current psychological well-being and this increases risk of negative physical health outcomes associated with obesity. Across two nationally representative studies, we tested whether past obesity is associated with current psychological outcomes and whether these psychological outcomes explain the association between past obesity and subsequent early mortality. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) (n = 29,047) and the Health and Retirement Study (HRS) (n = 11,998). Past obesity was defined based on maximum lifetime weight in NHANES and the highest weight from past study waves in the HRS. Across both studies, current depressive symptoms were analysed. A set of 10 additional well-being measures were combined to produce an 'index of impaired well-being' in HRS. Subsequent all-cause mortality was examined using National Deaths Index records in NHANES and household interviews in HRS. Linear or logistic regression, Cox proportional hazard regression, and causal mediation models were used. RESULTS We found that past obesity was associated with greater current depressive symptoms after controlling for current weight status and in analyses limited to those who were no longer classified as having obesity in NHANES (β = 0.17; 95% CI: 0.13, 0.22) and HRS (β = 0.20; 95% CI: 0.08, 0.31). In HRS, past obesity was also associated with a range of current negative psychological outcomes, including an index of impaired psychological well-being (β = 0.16; 95% CI: 0.05, 0.27). Past obesity was associated with a higher risk of early mortality in both NHANES and HRS (HR = 1.31; 95% CI: 1.16, 1.48 and HR = 1.34; 95% CI: 1.20, 1.50, respectively). Depressive symptoms explained 6% (95% CI: 0.01, 0.10) and 5% (95% CI: 0.01, 0.09) of the association between past obesity and premature mortality in NHANES and HRS, respectively. Impaired psychological well-being partly mediated the association between past obesity and premature mortality by 10% (95% CI: 0.04, 0.16) in HRS. CONCLUSIONS Our findings suggest that there may be a psychological legacy of past obesity that is associated with raised mortality risk. Ensuring people with obesity receive psychological support even after experiencing weight loss may be important.
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Affiliation(s)
- I Gusti Ngurah Edi Putra
- Department of Psychology, Institute of Population Health, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA, UK.
| | - Michael Daly
- Department of Psychology, Maynooth University, Maynooth, Ireland
| | - Angelina Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, USA
| | - Andrew Steptoe
- Department of Behavioural Science and Health, Institute of Epidemiology and Health Care, Faculty of Population Health Sciences, University College London, London, UK
| | - Eric Robinson
- Department of Psychology, Institute of Population Health, University of Liverpool, Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA, UK
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Chaudhry H, Bodair R, Mahfoud Z, Dargham S, Al Suwaidi J, Jneid H, Abi Khalil C. Overweight and obesity are associated with better survival in STEMI patients with diabetes. Obesity (Silver Spring) 2023; 31:2834-2844. [PMID: 37691173 DOI: 10.1002/oby.23863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/28/2023] [Accepted: 06/12/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVE The relationship between obesity and in-hospital outcomes in individuals with type 2 diabetes mellitus (T2DM) who develop an ST-elevation myocardial infarction (STEMI) was assessed. METHODS Data from the National Inpatient Sample (NIS) from 2008 to 2017 were analyzed. Patients with STEMI and T2DM were classified as being underweight or having normal weight, overweight, obesity, and severe obesity. The temporal trend of those BMI ranges and in-hospital outcomes among different obesity groups were assessed. RESULTS A total of 74,099 patients with T2DM and STEMI were included in this analysis. In 2008, 35.8% of patients had obesity, and 37.3% had severe obesity. However, patients with obesity accounted for most of the study population in 2017 (57.8%). During the observation period, mortality decreased in underweight patients from 18.1% to 13.2% (p < 0.001). Still, it gradually increased in all other BMI ranges, along with cardiogenic shock, atrial fibrillation, and ventricular fibrillation (p < 0.001 for all). After the combination of all patients during the observation period, mortality was lower in patients with overweight and obesity (adjusted odds ratio = 0.625 [95% CI 0.499-0.784]; 0.606 [95% CI 0.502-0.733], respectively). CONCLUSIONS A U-shaped association governs the relationship between BMI and mortality in STEMI patients with diabetes, with those having overweight and obesity experiencing better survival.
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Affiliation(s)
- Hamza Chaudhry
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Ramez Bodair
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Department of Medicine, Virginia Commonwealth University Health, Richmond, Virginia, USA
| | - Ziyad Mahfoud
- Biostatistics Core, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Soha Dargham
- Biostatistics Core, Weill Cornell Medicine-Qatar, Doha, Qatar
| | | | - Hani Jneid
- Department of Cardiology, University of Texas Medical Branch, Galveston, Texas, USA
| | - Charbel Abi Khalil
- Department of Medicine, Weill Cornell Medicine-Qatar, Doha, Qatar
- Heart Hospital. Hamad Medical Corporation, Doha, Qatar
- Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, New York, USA
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Ruan H, Zhang Q, Ran X. Unraveling the Obesity Paradox in Sepsis Patients: Insights Into the Role of Body Composition and Adipose Distribution. Crit Care Med 2023; 51:e249-e250. [PMID: 37902358 DOI: 10.1097/ccm.0000000000005995] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Affiliation(s)
- Hang Ruan
- Department of Critical-Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Zhang
- Department of Anesthesiology, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Ran
- Department of Critical-Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Emergency Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Elkan M, Kofman N, Minha S, Rappoport N, Zaidenstein R, Koren R. Does the "Obesity Paradox" Have an Expiration Date? A Retrospective Cohort Study. J Clin Med 2023; 12:6765. [PMID: 37959230 PMCID: PMC10647762 DOI: 10.3390/jcm12216765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/17/2023] [Accepted: 10/20/2023] [Indexed: 11/15/2023] Open
Abstract
(1) Background: The "obesity paradox" refers to a protective effect of higher body mass index (BMI) on mortality in acute infectious disease patients. However, the long-term impact of this paradox remains uncertain. (2) Methods: A retrospective study of patients diagnosed with community-acquired acute infectious diseases at Shamir Medical Center, Israel (2010-2020) was conducted. Patients were grouped by BMI: underweight, normal weight, overweight, and obesity classes I-III. Short- and long-term mortality rates were compared across these groups. (3) Results: Of the 25,226 patients, diverse demographics and comorbidities were observed across BMI categories. Short-term (90-day) and long-term (one-year) mortality rates were notably higher in underweight and normal-weight groups compared to others. Specifically, 90-day mortality was 22% and 13.2% for underweight and normal weight respectively, versus 7-9% for others (p < 0.001). Multivariate time series analysis revealed underweight individuals had a significantly higher 5-year mortality risk (HR 1.41 (95% CI 1.27-1.58, p < 0.001)), while overweight and obese categories had a reduced risk (overweight-HR 0.76 (95% CI 0.72-0.80, p < 0.001), obesity class I-HR 0.71 (95% CI 0.66-0.76, p < 0.001), obesity class II-HR 0.77 (95% CI 0.70-0.85, p < 0.001), and obesity class III-HR 0.79 (95% CI 0.67-0.92, p = 0.003)). (4) Conclusions: In this comprehensive study, obesity was independently associated with decreased short- and long-term mortality. These unexpected results prompt further exploration of this counterintuitive phenomenon.
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Affiliation(s)
- Matan Elkan
- Department of Internal Medicine A, Shamir Medical Center (Assaf Harofeh), Zerifin 7030000, Israel (R.K.)
| | - Natalia Kofman
- Department of Cardiology, Shamir Medical Center (Assaf Harofeh), Zerifin 7030000, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Sa’ar Minha
- Department of Cardiology, Shamir Medical Center (Assaf Harofeh), Zerifin 7030000, Israel
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Nadav Rappoport
- Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
- Division of Government Medical Centers, Israeli Ministry of Health, Jerusalem 9101002, Israel
| | - Ronit Zaidenstein
- Department of Internal Medicine A, Shamir Medical Center (Assaf Harofeh), Zerifin 7030000, Israel (R.K.)
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Ronit Koren
- Department of Internal Medicine A, Shamir Medical Center (Assaf Harofeh), Zerifin 7030000, Israel (R.K.)
- Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
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Silveira VNDC, França AKTDC, Campelo CL, Machado PMA, dos Santos AM. Proposition of an Energy Intake Estimating Scale through Item Response Theory. Nutrients 2023; 15:4511. [PMID: 37960164 PMCID: PMC10650126 DOI: 10.3390/nu15214511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/10/2023] [Accepted: 10/14/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Traditional methods for assessing individual energy consumption often involve lengthy and intricate procedures. This study aims to introduce an Energy Consumption Estimation Scale, utilizing Item Response Theory (IRT) for adolescents aged 18-19 years. METHODS This psychometric investigation applies IRT to 93 items extracted from a validated food frequency questionnaire. The study encompasses a representative sample of 2515 adolescents from the São Luís birth cohort in Brazil. The latent trait, energy intake, is derived using IRT and subsequently validated through hierarchical multiple linear regression modeling. Significance was established at p < 0.05. RESULTS A Samejima's model was successfully fitted (CFI and TLI > 0.9 and RMSEA < 0.08), effectively capturing variations across all energy consumption levels. Factors associated with the latent trait demonstrate consistent behavioral patterns. Adolescents with higher energy intake exhibited increased consumption of dairy products, artificially sweetened beverages, and seasonal fruits and vegetables. CONCLUSIONS The proposed Energy Consumption Estimation Scale demonstrates a reliable measurement of energy intake and serves as a practical and concise alternative for assessing energy consumption among adolescents. These findings suggest the potential for adapting similar models for different age groups and incorporating diverse food items based on the obtained results.
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Affiliation(s)
- Victor Nogueira da Cruz Silveira
- Postgraduate Programme in Collective Health, Federal University of Maranhão, São Luís 65020-070, Brazil; (A.K.T.d.C.F.); (A.M.d.S.)
| | | | - Cleber Lopes Campelo
- Higher School of Health Sciences—Bachelor of Nursing, State University of Amazonas, Nurse at Brazilian Hospital Services Company (EBSERH), Manaus 69850-000, Brazil;
| | | | - Alcione Miranda dos Santos
- Postgraduate Programme in Collective Health, Federal University of Maranhão, São Luís 65020-070, Brazil; (A.K.T.d.C.F.); (A.M.d.S.)
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Chen X, Jiang S, Yao Y. Association between obesity and urinary incontinence in older adults from multiple nationwide longitudinal cohorts. COMMUNICATIONS MEDICINE 2023; 3:142. [PMID: 37821658 PMCID: PMC10567749 DOI: 10.1038/s43856-023-00367-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 09/06/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Obesity and urinary incontinence (UI) among older adults, particularly older men, are yet to be fully explored. Utilizing multiple nationwide prospective longitudinal cohorts representative of the US, UK, and European samples, we examined the association of body mass index (BMI) and waist circumference (WC) with UI among both older women and men. METHODS We derived the data from multiple longitudinal cohorts that surveyed UI. Participants were asked if they had experienced urine leakage within the past 12 months or within the past six months. The measure of obesity was based on BMI and WC. We employed a random-effect logistic model to associate BMI and WC with UI, adjusting for covariates including age, race, education, residence area, marital status, number of children, smoking, drinking, hypertension, diabetes, cancer, stroke, functional ability, and cognitive impairment. We visualized the associations by using restricted cubic spline curves. RESULTS A total of 200,717 participants with 718,822 observations are included in the baseline analysis. Compared to those without UI, both female and male participants with UI demonstrate a higher BMI and WC. Among females, the fully adjusted models show linear associations between BMI, WC, and UI (Ps < 0.001). However, we observe U-shaped associations of BMI, WC with UI among males. The lowest likelihood of having UI is found among male participants with a BMI between 24 and 35 kg/m2. CONCLUSIONS Interventions aimed at preventing UI among older adults must take sex into account. Weight loss intervention could be an effective treatment among older females who are overweight and with obesity as well as older males with obesity rather than all older males.
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Affiliation(s)
- Xiyin Chen
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Shaoxiang Jiang
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Yao Yao
- China Center for Health Development Studies, Peking University, Beijing, China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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Malki A, Shaik RA, Sami W. Association between metabolically healthy obesity and metastasis in lung cancer patients - a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1238459. [PMID: 37842311 PMCID: PMC10571134 DOI: 10.3389/fendo.2023.1238459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 09/15/2023] [Indexed: 10/17/2023] Open
Abstract
Background Many clinical trials have looked at the relationship between obesity and lung cancer (LC), however, there is scarcity of literature specifically addressing the association between metabolically healthy obesity and metastasis in LC patients. To address this gap in the body of evidence, the study was conducted to observe the association between metabolically healthy obesity and metastasis in LC patients. Methods We conducted a pre-registered systematic review by searching six major online databases to identify studies relevant related to our investigation, in adherence with the PRISMA guidelines. A proper data extraction protocol was further established to synthesize the findings from the selected papers through a meta-analysis. Results Eleven (11) studies met the requisite selection criterion and were included in the study. A random-effect model was used. Obesity was found to have a significant impact on readmission in LC patients. The combined analysis showed a significant effect size of 0.08 (95% CI 0.07 to 0.08), indicating a noticeable impact of obesity. It was also assessed that obese individuals had a 34% reduced risk of LC compared to normal weight individuals. Obesity was associated with a lower risk of surgical complications with a pooled risk ratio of 0.13 (95% CI 0.12 to 0.14). A statistically significant decreased risk of LC (pooled RR = 0.72, 95% CI: 0.68 to 0.77) was also observed in the obese individuals. Conclusion The analysis reveals that obesity is associated with a noticeable increase in readmissions, although the impact on LC risk itself is negligible. Moreover, obesity appears to have a beneficial effect by reducing the risk of surgical complications. These results highlight the complex relationship between the two aforementioned factors, emphasizing the importance of considering obesity as a significant factor in patient management and healthcare decision-making. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023427612.
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Affiliation(s)
- Ahmed Malki
- Biomedical Science Department, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Riyaz Ahamed Shaik
- Department of Family and Community Medicine, College of Medicine, Majmaah University, Majmaah, Saudi Arabia
| | - Waqas Sami
- Department of Pre-clinical Affairs, College of Nursing, QU-Health, Qatar University, Doha, Qatar
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