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Dang N, Khalil D, Sun J, Naveed A, Soumare F, Hamidovic A. Waist Circumference and Its Association With Premenstrual Food Craving: The PHASE Longitudinal Study. Front Psychiatry 2022; 13:784316. [PMID: 35573360 PMCID: PMC9091555 DOI: 10.3389/fpsyt.2022.784316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 04/04/2022] [Indexed: 12/02/2022] Open
Abstract
Visceral adiposity is a significant marker of all-cause mortality. Reproductive age women are at a considerable risk for developing visceral adiposity; however, the associated factors are poorly understood. The proposed study evaluated whether food craving experienced during the premenstrual period is associated with waist circumference. Forty-six women (mean BMI = 24.36) prospectively provided daily ratings of food craving across two-three menstrual cycles (122 cycles total). Their premenstrual rating of food craving was contrasted against food craving in the follicular phase to derive a corrected summary score of the premenstrual food craving increase. Study groups were divided into normal (n = 26) and obese (n = 20) based on the 80 cm waist circumference cutoff signifying an increase in risk. Waist circumference category was significantly associated with premenstrual food cravings [F (1,44) = 5.12, p = 0.028]. Post hoc comparisons using the Tukey HSD test (95% family-wise confidence level) showed that the mean score for the food craving effect size was 0.35 higher for the abdominally obese vs. normal study groups (95% CI: 0.039 to 0.67). The result was statistically significant even following inclusion of BMI in the model, pointing to a particularly dangerous process of central fat accumulation. The present study establishes an association between temporal vulnerability to an increased food-related behavior and a marker of metabolic abnormality risk (i.e., waist circumference), thereby forming a basis for integrating the premenstruum as a viable intervention target for this at-risk sex and age group.
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Affiliation(s)
- Nhan Dang
- Department of Public Health, University of Illinois at Chicago, Chicago, IL, United States
| | - Dina Khalil
- Department of Public Health, Benedictine University, Lisle, IL, United States
| | - Jiehuan Sun
- Department of Public Health, University of Illinois at Chicago, Chicago, IL, United States
| | - Aamina Naveed
- Department of Pharmacy, University of Illinois, Chicago, IL, United States
| | - Fatimata Soumare
- Department of Pharmacy, University of Illinois, Chicago, IL, United States
| | - Ajna Hamidovic
- Department of Pharmacy, University of Illinois, Chicago, IL, United States
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Li J, Vungarala S, Somers VK, Di J, Lopez-Jimenez F, Covassin N. Rest-Activity Rhythm Is Associated With Obesity Phenotypes: A Cross-Sectional Analysis. Front Endocrinol (Lausanne) 2022; 13:907360. [PMID: 35837304 PMCID: PMC9273840 DOI: 10.3389/fendo.2022.907360] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 05/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The prevalence of obesity continues to increase in spite of substantial efforts towards its prevention, posing a major threat to health globally. Circadian disruption has been associated with a wide range of preclinical and clinical disorders, including obesity. However, whether rest-activity rhythm (RAR), an expression of the endogenous circadian rhythm, is associated with excess adiposity is poorly understood. Here we aimed to assess the association of RAR with general and abdominal obesity. METHODS Non-institutionalized adults aged ≥20 years participating in the US National Health and Nutrition Examination Survey (NHANES) 2011-2014 who wore accelerometers for at least four 24-hour periods were included (N=7,838). Amplitude, mesor, acrophase and pseudo-F statistic of RAR were estimated using extended cosinor model, and interdaily stability (IS) and intradaily variability (IV) were computed by nonparametric methods. We tested the association between rest-activity rhythm and general obesity defined by body mass index and abdominal obesity by waist circumference. Waist-to-height ratio, sagittal abdominal diameter, and total and trunk fat percentages measured by imaging methods were also analyzed. RESULTS In multivariable analysis, low amplitude (magnitude of the rhythm), mesor (rhythm-corrected average activity level), pseudo-F statistic (robustness of the rhythm), IS (day-to-day rhythm stability), or high IV (rhythm fragmentation) were independently associated with higher likelihood of general or abdominal obesity (all Ps<.05). Consistently, RAR metrics were similarly associated with all adiposity measures (all Ps<.01). Delayed phase of RAR (later acrophase) was only significantly related to general and abdominal obesity in women. CONCLUSIONS Aberrant RAR is independently associated with anthropometric and imaging measures of general and abdominal obesity. Longitudinal studies assessing whether RAR metrics can predict weight gain and incident obesity are warranted.
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Affiliation(s)
- Jingen Li
- Department of Cardiovascular Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States
| | - Soumya Vungarala
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States
| | - Virend K. Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States
| | - Junrui Di
- Department of Biostatistics, Johns Hopkins University, Baltimore, MA, United States
| | | | - Naima Covassin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, United States
- *Correspondence: Naima Covassin,
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204
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O’Keeffe LM, Bell JA, O’Neill KN, Lee MA, Woodward M, Peters SAE, Smith GD, Kearney PM. Sex-specific associations of adiposity with cardiometabolic traits in the UK: A multi-life stage cohort study with repeat metabolomics. PLoS Med 2022; 19:e1003636. [PMID: 34990449 PMCID: PMC8735621 DOI: 10.1371/journal.pmed.1003636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 11/05/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Sex differences in cardiometabolic disease risk are commonly observed across the life course but are poorly understood and may be due to different associations of adiposity with cardiometabolic risk in females and males. We examined whether adiposity is differently associated with cardiometabolic trait levels in females and males at 3 different life stages. METHODS AND FINDINGS Data were from 2 generations (offspring, Generation 1 [G1] born in 1991/1992 and their parents, Generation 0 [G0]) of a United Kingdom population-based birth cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). Follow-up continues on the cohort; data up to 25 y after recruitment to the study are included in this analysis. Body mass index (BMI) and total fat mass from dual-energy X-ray absorptiometry (DXA) were measured at mean age 9 y, 15 y, and 18 y in G1. Waist circumference was measured at 9 y and 15 y in G1. Concentrations of 148 cardiometabolic traits quantified using nuclear magnetic resonance spectroscopy were measured at 15 y, 18 y, and 25 y in G1. In G0, all 3 adiposity measures and the same 148 traits were available at 50 y. Using linear regression models, sex-specific associations of adiposity measures at each time point (9 y, 15 y, and 18 y) with cardiometabolic traits 3 to 6 y later were examined in G1. In G0, sex-specific associations of adiposity measures and cardiometabolic traits were examined cross-sectionally at 50 y. A total of 3,081 G1 and 4,887 G0 participants contributed to analyses. BMI was more strongly associated with key atherogenic traits in males compared with females at younger ages (15 y to 25 y), and associations were more similar between the sexes or stronger in females at 50 y, particularly for apolipoprotein B-containing lipoprotein particles and lipid concentrations. For example, a 1 standard deviation (SD) (3.8 kg/m2) higher BMI at 18 y was associated with 0.36 SD (95% confidence interval [CI] = 0.20, 0.52) higher concentrations of extremely large very-low-density lipoprotein (VLDL) particles at 25 y in males compared with 0.15 SD (95% CI = 0.09, 0.21) in females, P value for sex difference = 0.02. By contrast, at 50 y, a 1 SD (4.8 kg/m2) higher BMI was associated with 0.33 SD (95% CI = 0.25, 0.42) and 0.30 SD (95% CI = 0.26, 0.33) higher concentrations of extremely large VLDL particles in males and females, respectively, P value for sex difference = 0.42. Sex-specific associations of DXA-measured fat mass and waist circumference with cardiometabolic traits were similar to findings for BMI and cardiometabolic traits at each age. The main limitation of this work is its observational nature, and replication in independent cohorts using methods that can infer causality is required. CONCLUSIONS The results of this study suggest that associations of adiposity with adverse cardiometabolic risk begin earlier in the life course among males compared with females and are stronger until midlife, particularly for key atherogenic lipids. Adolescent and young adult males may therefore be high priority targets for obesity prevention efforts.
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Affiliation(s)
- Linda M. O’Keeffe
- School of Public Health, University College Cork, Cork, Ireland
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- * E-mail:
| | - Joshua A. Bell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Kate N. O’Neill
- School of Public Health, University College Cork, Cork, Ireland
| | - Matthew A. Lee
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Mark Woodward
- The George Institute for Global Health, School of Public Health, Imperial College, London, United Kingdom
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Sanne A. E. Peters
- The George Institute for Global Health, School of Public Health, Imperial College, London, United Kingdom
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - George Davey Smith
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Ferrantini G, Coratti G, Onesimo R, Lucibello S, Bompard S, Turrini I, Cicala G, Caprarelli M, Pera MC, Bravetti C, Berti B, Giorgio V, Bruno C, Brolatti N, Panicucci C, D’Amico A, Longo A, Leoni C, Sansone VA, Albamonte E, Messina S, Sframeli M, Bertini E, Pane M, Mercuri E, the Italian ISMAC study group. Body mass index in type 2 spinal muscular atrophy: a longitudinal study. Eur J Pediatr 2022; 181:1923-1932. [PMID: 35048179 PMCID: PMC9056453 DOI: 10.1007/s00431-021-04325-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 11/09/2021] [Accepted: 11/19/2021] [Indexed: 11/03/2022]
Abstract
UNLABELLED The aim of this retrospective study was to review body mass index (BMI) in a large cohort of Italian pediatric type 2 spinal muscular atrophy (SMA) patients, aged between 0 and 20 years and to establish possible differences in relation to a number of variables such as ventilation, motor function, and survival motor neuron 2 gene copies. Cross-sectional data were collected from 102 patients for a total of 344 visits. Standard growth charts for height and weight were used as reference, with age adjusted BMI calculated using the Center for Disease and Prevention Children's BMI Tool. In the 344 visits, weight ranged between 3.90 and 83 kg, and the BMI between 8.4 and 31.6 with a BMI/age z-scores < - 2SD present in 28% and BMI/age z-scores > + 2SD in 9% of the measurements. The BMI/age z-scores were relatively stable < 5 years of age with an increasing number of patients < - 2SD after the age of 5, and a wider range of BMI/age z-scores after the age of 13. A difference on the BMI/age z-scores was found among the different age subgroups (< 5, 5-12, ≥ 13 years). A multivariate analysis in 58 patients with longitudinal assessments showed that baseline BMI/age z-scores and gender were significantly contributing to the changes while other variables were not. CONCLUSION Our results confirm that careful surveillance of weight and BMI/age z-scores is needed in type 2 SMA. Further studies, including assessments of chewing and swallowing and of lean/fat body mass, will help to better understand the possible mechanisms underlying weight issues. WHAT IS KNOWN • Feeding difficulties have been reported in a few studies and were invariably found in patients with type 1 SMA. • Type 2 SMA patients often have low BMI with a relevant number of patients requiring tube feeding. WHAT IS NEW • Reduction in BMI/age z-score overtime appeared to depend on baseline BMI/age z-score and gender. • Patients with a low BMI/age z-score were at higher risk of developing further reduction.
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Affiliation(s)
- Gloria Ferrantini
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giorgia Coratti
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Roberta Onesimo
- grid.414603.4Pediatric Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Simona Lucibello
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Sarah Bompard
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ida Turrini
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Graziamaria Cicala
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Michela Caprarelli
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Maria Carmela Pera
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Chiara Bravetti
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Beatrice Berti
- grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Valentina Giorgio
- grid.414603.4Pediatric Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Claudio Bruno
- grid.419504.d0000 0004 1760 0109Center of Experimental and Translational Myology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Noemi Brolatti
- grid.419504.d0000 0004 1760 0109Center of Experimental and Translational Myology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Chiara Panicucci
- grid.419504.d0000 0004 1760 0109Center of Experimental and Translational Myology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Adele D’Amico
- grid.414125.70000 0001 0727 6809Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Antonella Longo
- grid.414125.70000 0001 0727 6809Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Chiara Leoni
- grid.414603.4Pediatric Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Valeria A. Sansone
- Neurorehabilitation Unit, University of Milan, Neuromuscular Omnicentre Clinical Center, Niguarda Hospital, Milan, Italy
| | - Emilio Albamonte
- Neurorehabilitation Unit, University of Milan, Neuromuscular Omnicentre Clinical Center, Niguarda Hospital, Milan, Italy
| | - Sonia Messina
- grid.10438.3e0000 0001 2178 8421Department of Clinical and Experimental Medicine and Centro Clinico Nemo Sud, University of Messina, Messina, Italy
| | - Maria Sframeli
- grid.10438.3e0000 0001 2178 8421Department of Clinical and Experimental Medicine and Centro Clinico Nemo Sud, University of Messina, Messina, Italy
| | - Enrico Bertini
- grid.414125.70000 0001 0727 6809Unit of Neuromuscular and Neurodegenerative Disorders, Department of Neurosciences, IRCCS Bambino Gesù Children’s Hospital, Rome, Italy
| | - Marika Pane
- grid.8142.f0000 0001 0941 3192Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.477103.6Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Eugenio Mercuri
- Pediatric Neurology, Università Cattolica del Sacro Cuore, Rome, Italy. .,Centro Clinico Nemo, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
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Abstract
Regular physical activity has an impact on all human organ systems and mediates multiple beneficial effects on overall health. Physical activity alone is a poor strategy for weight loss; however, physical activity is of crucial importance for weight loss maintenance. The role of exercise in maintaining a stable body weight is not clear but might be related to better appetite regulation and food preference. In relation to exercise, muscle secretes myokines and other factors that can influence the metabolism in other organs, not least fat and brain tissues. Thereby, physical activity reduces the risk of obesity-associated diseases, such as type 2 diabetes and cardiovascular diseases, independently of weight loss and BMI. Therefore, physical activity should always be included in weight loss strategies and as a tool to maintain a healthy weight, despite its modest effect on energy expenditure and overall body weight.
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Affiliation(s)
- Claus Brandt
- Centre of Inflammation and Metabolism/Centre for Physical Activity Research (CIM/CFAS), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bente Klarlund Pedersen
- Centre of Inflammation and Metabolism/Centre for Physical Activity Research (CIM/CFAS), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
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207
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Ke JF, Wang JW, Lu JX, Zhang ZH, Liu Y, Li LX. Waist-to-height ratio has a stronger association with cardiovascular risks than waist circumference, waist-hip ratio and body mass index in type 2 diabetes. Diabetes Res Clin Pract 2022; 183:109151. [PMID: 34863718 DOI: 10.1016/j.diabres.2021.109151] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/29/2021] [Accepted: 11/18/2021] [Indexed: 12/15/2022]
Abstract
AIMS To compare the associations between four anthropometric indices including waist-to-height ratio (WHtR), waist circumference (WC), waist-hip-ratio (WHR) and body mass index (BMI) and cardio-cerebrovascular events (CCBVEs) in Chinese T2DM patients. METHODS The associations of four anthropometric measures with CCBVEs and metabolic syndrome (MetS) were compared by multiple regression model in 3108 T2DM patients. CCBVEs was defined as a history of myocardial infarction, angina, angioplasty, coronary artery bypass surgery, transient ischemic attack, ischemic or hemorrhagic stroke. RESULTS After controlling for age, sex and diabetes duration, the prevalence of CCBVEs and MetS significantly increased across the WHtR, WC, WHR and BMI quartiles in T2DM patients, respectively. However, when controlling for these four anthropometric measurements together, although four anthropometric measures were closely associated with MetS prevalence, only WHtR quartile was significantly associated with CCBVEs prevalence (6.5%, 13.8%, 16.9% and 21.3%, p < 0.001 for trend). After adjusting for multiple confounders including four anthropometric parameters, a regression analysis revealed that only WHtR was independently and positively associated with the presence of CCBVEs (p = 0.029). CONCLUSIONS Compared with WC, WHR and BMI, WHtR have a stronger association with CCBVEs in T2DM subjects. WHtR maybe a better indicator than other anthropometric measurements for evaluating cardiovascular risks in T2DM.
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Affiliation(s)
- Jiang-Feng Ke
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, 200233 Shanghai, China.
| | - Jun-Wei Wang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, 200233 Shanghai, China.
| | - Jun-Xi Lu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, 200233 Shanghai, China.
| | - Zhi-Hui Zhang
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, 200233 Shanghai, China.
| | - Yun Liu
- Department of Information, the First Affiliated Hospital of Nanjing Medical University, Department of Medical Information, School of Biomedical Engineering and Informatics, Nanjing Medical University, Jiangsu, China.
| | - Lian-Xi Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, 600 Yishan Road, 200233 Shanghai, China.
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208
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Neri D, Martínez-Steele E, Khandpur N, Levy R. Associations between ultra-processed foods consumption and indicators of adiposity in US adolescents: cross-sectional analysis of the NHANES 2011–2016. J Acad Nutr Diet 2022; 122:1474-1487.e2. [DOI: 10.1016/j.jand.2022.01.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 10/19/2022]
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209
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Singh P, Covassin N, Marlatt K, Gadde KM, Heymsfield SB. Obesity, Body Composition, and Sex Hormones: Implications for Cardiovascular Risk. Compr Physiol 2021; 12:2949-2993. [PMID: 34964120 PMCID: PMC10068688 DOI: 10.1002/cphy.c210014] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Cardiovascular disease (CVD) continues to be the leading cause of death in adults, highlighting the need to develop novel strategies to mitigate cardiovascular risk. The advancing obesity epidemic is now threatening the gains in CVD risk reduction brought about by contemporary pharmaceutical and surgical interventions. There are sex differences in the development and outcomes of CVD; premenopausal women have significantly lower CVD risk than men of the same age, but women lose this advantage as they transition to menopause, an observation suggesting potential role of sex hormones in determining CVD risk. Clear differences in obesity and regional fat distribution among men and women also exist. While men have relatively high fat in the abdominal area, women tend to distribute a larger proportion of their fat in the lower body. Considering that regional body fat distribution is an important CVD risk factor, differences in how men and women store their body fat may partly contribute to sex-based alterations in CVD risk as well. This article presents findings related to the role of obesity and sex hormones in determining CVD risk. Evidence for the role of sex hormones in determining body composition in men and women is also presented. Lastly, the clinical potential for using sex hormones to alter body composition and reduce CVD risk is outlined. © 2022 American Physiological Society. Compr Physiol 12:1-45, 2022.
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Affiliation(s)
- Prachi Singh
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | | | - Kara Marlatt
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | - Kishore M Gadde
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, USA
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210
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Mehran L, Amouzegar A, Fanaei SM, Masoumi S, Azizi F. Anthropometric measures and risk of all-cause and cardiovascular mortality: An 18 years follow-up. Obes Res Clin Pract 2021; 16:63-71. [PMID: 34969646 DOI: 10.1016/j.orcp.2021.12.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 12/16/2021] [Accepted: 12/21/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND The contribution of anthropometric measures to predict mortality in normal-weight subjects is unclear. We aimed to study the association of central obesity measures, e.g., waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), with the risk of all-cause and CVD mortality. METHODS In a prospective population-based Tehran Lipid and Glucose Study, 8287 participants aged ≥30 y, followed for a median of 18 years. The association of WC, WHR and WHtR with the risk for mortality was estimated using multivariate Cox proportional hazard models in different BMI groups. RESULTS We documented 821 deaths, of which 251 were related to CVD mortality. Normal weight individuals with central obesity were significantly at increased risk of all-cause (HR: 1.5; 95% CI: 1.10, 2.1) and CVD mortality (HR: 1.6; 95% CI: 0.92, 2.9) compared with normal-weight individuals without central obesity; the risk remained significant only in women. Also, normal-weight women (not men) with high WHR were at increased risk of all-cause (HR: 1.7; 95% CI: 1.0, 2.8) and CVD mortality (HR: 5.9; 95% CI: 1.5, 23.2). High WHtR increased the risk of all-cause (HR: 1.5; 95% CI: 1.2, 1.8) and CVD mortality (HR: 1.8; 95% CI: 1.2, 2.7) which remained significant in normal-weight men and women. All central obesity indicators were significantly associated with all-cause and CVD mortality in subjects aged under 65. CONCLUSION Even in normal-weight individuals, WC and WHR in women and WHtR in both sexes are predictors of all-cause and CVD mortality. WHtR shows a stronger association, especially in the population aged under 65.
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Affiliation(s)
- Ladan Mehran
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Atieh Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Seyedeh Melika Fanaei
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Safdar Masoumi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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211
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Kang SY, Kim W, Kim JS, Jeong KH, Jeong MH, Hwang JY, Hwang HS. Renal Function Effect on the Association Between Body Mass Index and Mortality Risk After Acute Myocardial Infarction. Front Cardiovasc Med 2021; 8:765153. [PMID: 34938783 PMCID: PMC8687192 DOI: 10.3389/fcvm.2021.765153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 11/10/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Body mass index (BMI) is a critical determinant of mortality after acute myocardial infarction (AMI), and higher BMI is associated with survival benefit in patients with renal impairment. However, there are no studies investigating the interactive effects of BMI and renal function on mortality risk after AMI occurrence. Methods: We enrolled 12,647 AMI patients from Korea Acute Myocardial Infarction Registry between November 2011 and December 2015. Patients were categorized based on estimated Glomerular Filtration Rate (eGFR) and BMI. The primary endpoint was all-cause mortality after AMI treatment. Results: Within each renal function category, the absolute mortality rate was decreased in patients with higher BMI. However, the adjusted hazard ratio (HR) of all-cause mortality for higher BMI was decreased as renal function worsened [adjusted HR (95% confidence interval) at BMI ≥ 25 kg/m2: 0.63 (0.41-0.99), 0.76 (0.59-0.97), and 0.84 (0.65-1.08) for patients with eGFR ≥ 90, 90-45, and <45 mL/min/1.73 m2, respectively]. There was a significant interaction between BMI and renal function (P for interaction = 0.010). The protective effect of higher BMI was preserved against non-cardiac death and it was also decreased with lowering eGFR in competing risks models [adjusted HR at BMI ≥25 kg/m2: 0.38 (0.18-0.83), 0.76 (0.59-0.97), and 0.84 (0.65-1.08) for patients with eGFR ≥ 90, 90-45, and <45 mL/min/1.73 m2, respectively; P for interaction = 0.03]. However, renal function did not significantly affect the association between BMI and risk of cardiac death (P for interaction = 0.20). Conclusions: The effect of BMI on the mortality risk after AMI was dependent on renal function. The association between greater BMI and survival benefit was weakened as renal function was decreased. In addition, the negative effect of renal function on the BMI - mortality association was pronounced in the non-cardiac death.
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Affiliation(s)
- Shin Yeong Kang
- Department of Internal Medicine, Graduate School, Kyung Hee University, Seoul, South Korea
| | - Weon Kim
- Division of Cardiology, Department of Internal Medicine, Kyung Hee University, Seoul, South Korea
| | - Jin Sug Kim
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, South Korea
| | - Kyung Hwan Jeong
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, South Korea
| | - Myung Ho Jeong
- Department of Internal Medicine and Heart Center, Chonnam National University Hospital, Gwangju, South Korea
| | - Jin Yong Hwang
- Department of Internal Medicine, Gyeongsang National University Hospital, Jinju, South Korea
| | - Hyeon Seok Hwang
- Division of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, South Korea
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212
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Raffield LM, Howard AG, Graff M, Lin D, Cheng S, Demerath E, Ndumele C, Palta P, Rebholz CM, Seidelmann S, Yu B, Gordon‐Larsen P, North KE, Avery CL. Obesity Duration, Severity, and Distribution Trajectories and Cardiovascular Disease Risk in the Atherosclerosis Risk in Communities Study. J Am Heart Assoc 2021; 10:e019946. [PMID: 34889111 PMCID: PMC9075238 DOI: 10.1161/jaha.121.019946] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 10/22/2021] [Indexed: 12/14/2022]
Abstract
Background Research examining the role of obesity in cardiovascular disease (CVD) often fails to adequately consider heterogeneity in obesity severity, distribution, and duration. Methods and Results We here use multivariate latent class mixed models in the biracial Atherosclerosis Risk in Communities study (N=14 514; mean age=54 years; 55% female) to associate obesity subclasses (derived from body mass index, waist circumference, self-reported weight at age 25, tricep skinfold, and calf circumference across up to four triennial visits) with total mortality, incident CVD, and CVD risk factors. We identified four obesity subclasses, summarized by their body mass index and waist circumference slope as decline (4.1%), stable/slow decline (67.8%), moderate increase (24.6%), and rapid increase (3.6%) subclasses. Compared with participants in the stable/slow decline subclass, the decline subclass was associated with elevated mortality (hazard ratio [HR] 1.45, 95% CI 1.31, 1.60, P<0.0001) and with heart failure (HR 1.41, 95% CI 1.22, 1.63, P<0.0001), stroke (HR 1.53, 95% CI 1.22, 1.92, P=0.0002), and coronary heart disease (HR 1.36, 95% CI 1.14, 1.63, P=0.0008), adjusting for baseline body mass index and CVD risk factor profile. The moderate increase latent class was not associated with any significant differences in CVD risk as compared to the stable/slow decline latent class and was associated with a lower overall risk of mortality (HR 0.85, 95% CI 0.80, 0.90, P<0.0001), despite higher body mass index at baseline. The rapid increase latent class was associated with a higher risk of heart failure versus the stable/slow decline latent class (HR 1.34, 95% CI 1.10, 1.62, P=0.004). Conclusions Consideration of heterogeneity and longitudinal changes in obesity measures is needed in clinical care for a more precision-oriented view of CVD risk.
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Affiliation(s)
| | - Annie Green Howard
- Department of BiostatisticsGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
| | - Misa Graff
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
| | - Dan‐Yu Lin
- Department of BiostatisticsGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
| | - Susan Cheng
- Smidt Heart InstituteCedars‐Sinai Medical CenterLos AngelesCA
| | - Ellen Demerath
- Division of Epidemiology and Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMN
| | - Chiadi Ndumele
- Johns Hopkins Ciccarone Center for the Prevention of Heart DiseaseJohns Hopkins University School of MedicineBaltimoreMD
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
| | - Priya Palta
- Departments of Medicine and EpidemiologyColumbia University Medical CenterNew YorkNY
| | - Casey M. Rebholz
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMD
| | - Sara Seidelmann
- Cardiovascular DivisionBrigham and Women's Hospital and Harvard Medical SchoolBostonMA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental SciencesSchool of Public HealthUniversity of Texas Health Science Center at HoustonTX
| | - Penny Gordon‐Larsen
- Department of NutritionGillings School of Global Public Health and School of MedicineUniversity of North CarolinaChapel HillNC
| | - Kari E. North
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
- Carolina Center of Genome SciencesUniversity of North Carolina at Chapel HillChapel HillNC
| | - Christy L. Avery
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNC
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213
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Zia I, Johnson L, Memarian E, Borné Y, Engström G. Anthropometric measures and the risk of developing atrial fibrillation: a Swedish Cohort Study. BMC Cardiovasc Disord 2021; 21:602. [PMID: 34922449 PMCID: PMC8684176 DOI: 10.1186/s12872-021-02415-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 12/07/2021] [Indexed: 12/17/2022] Open
Abstract
Aims Obesity is a risk factor for several cardiovascular diseases (CVDs), including atrial fibrillation (AF). However, it is less clear whether overall fat or abdominal fat distribution are most important for risk of developing AF. This study investigates how different anthropometric measures correlate to the risk of developing clinical AF in the Malmö Diet and Cancer cohort (MDC-cohort). Methods The MDC-cohort (n = 25,961) was examined in 1991–1996. The endpoint was clinical AF diagnosed in a hospital setting, and retrieved via linkage with national registers. Hazard Ratios (HR) for incident AF was calculated in relation to quartiles of body mass index (BMI), waist circumference, waist hip ratio, waist height ratio, body fat percentage, weight and height, using Cox regression with adjustment for age, biological (e.g. blood pressure, diabetes, blood lipid levels), and socioeconomic risk factors. Results After adjustment for multiple risk factors, the risk of AF was significantly increased in the 4th versus 1st quartile of weight (HR for men/women = 2.02/1.93), BMI (HR = 1.62/1.52), waist circumference (HR = 1.67/1.63), waist to hip ratio (HR = 1.30/1.24), waist to height ratio (1.37/1.39) and body fat percentage (HR = 1.21/1.45) in men/women. Measures of overall weight (BMI, weight) were slightly more predictive than measures of abdominal obesity (waist hip ratio and waist height ratio) both in men and women. Conclusion All measures of obesity were associated with increased risk of developing AF. Both overall obesity and abdominal obesity were related to incidence of AF in this population-based study, although the relationship for overall obesity was stronger. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02415-6.
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Affiliation(s)
- Isac Zia
- Department of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden.
| | - Linda Johnson
- Department of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden
| | - Ensieh Memarian
- Department of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden
| | - Yan Borné
- Department of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences, IKVM, Lund's University, Jan Waldenströms gata 35, CRC, House 60, 13th Floor, 205 02, Malmö, Sweden.
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214
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Giessing J, Eichmann B, Kemmler W, Westcott WL, Winett R, Busuttil K, Steele J, Fisher JP. The effects of adding high-intensity of effort resistance training to routine care in persons with type II diabetes: An exploratory randomized parallel-group time-series study. Physiol Behav 2021; 245:113677. [PMID: 34921836 DOI: 10.1016/j.physbeh.2021.113677] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/10/2021] [Accepted: 12/13/2021] [Indexed: 12/25/2022]
Abstract
AIMS This study considered the effects of supervised, low volume, high intensity of effort resistance training compared to continued routine care in persons with type II diabetes. METHODS We utilized a randomized parallel-group time-series design. All participants completed baseline testing (T0) and then participated in an educational training intervention regarding the management of their diabetes and were followed up for six months, during which they received routine care before being retested (T1). Participants were then randomly allocated to either continue with routine care (CON) or receive the high intensity of effort resistance training intervention (HIT). Participants from both groups were retested again after six months (T2). All participants were followed up for a further 12 months before being finally tested (T3). Data were available from 57 participants who completed the whole duration of the study (HIT, n = 29; CON, n = 28) for measures of anthropometry (body mass, waist circumference, and BMI), body composition (body fat mass, body fat percentage, lean mass, and visceral fat mass), total body water, phase angle, HbA1c, fasted blood glucose, and subjective wellbeing (WHO-5). RESULTS During the initial 6-months of routine care significant improvements were noted for waist circumference, body fat mass, lean mass, body fat percentage, lean mass percentage, visceral fat mass, HbA1c, fasted blood glucose, and subjective wellbeing. During the successive 6-months (intervention) and 18-months (follow-up), data suggest that many of these positive changes during the initial 6-months were negated or reversed for CON. In contrast, participants engaging in HIT continued to show positive changes for waist circumference, body fat mass, lean mass, body fat percentage, lean mass percentage, and visceral fat. For blood markers and wellbeing, HbA1c continued to decrease, fasted blood glucose decreased, and subjective wellbeing continued to increase. These positive responses were still evidenced and significantly different compared to CON after the 12-month follow-up. CONCLUSION The results of this exploratory pragmatic trial suggest that the addition of high intensity of effort RT alongside routine care can have a positive impact on a range of outcomes in type 2 diabetics having undergone prior routine care.
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Affiliation(s)
- Jürgen Giessing
- Institute of Sport Science, University of Koblenz-Landau, Landau, Germany
| | - Björn Eichmann
- Institute of Sport Science, University of Koblenz-Landau, Landau, Germany
| | - Wolfgang Kemmler
- Institute of Medical Physics, Friedrich-Alexander University, Erlangen-N¨urnberg, Erlangen, Bavaria, Germany
| | | | - Richard Winett
- Virginia Tech University, Blacksburg, United States of America
| | - Kevin Busuttil
- Faculty of Sport, Health and Social Science, Solent University, East Park Terrace,22 Southampton, United Kingdom
| | - James Steele
- Faculty of Sport, Health and Social Science, Solent University, East Park Terrace,22 Southampton, United Kingdom
| | - James P Fisher
- Faculty of Sport, Health and Social Science, Solent University, East Park Terrace,22 Southampton, United Kingdom.
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215
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U-Shaped Association between Waist-to-Hip Ratio and All-Cause Mortality in Stage 3-5 Chronic Kidney Disease Patients with Body Mass Index Paradox. J Pers Med 2021; 11:jpm11121355. [PMID: 34945829 PMCID: PMC8703404 DOI: 10.3390/jpm11121355] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/07/2021] [Accepted: 12/10/2021] [Indexed: 12/20/2022] Open
Abstract
The obesity paradox, referring to the association of high body mass index (BMI) with low all-cause mortality risk, is found in patients with chronic kidney disease (CKD). Central obesity is associated with metabolic syndrome and may have better prognostic value than BMI for all-cause mortality. Whether central obesity is associated with all-cause mortality in cases of obesity paradox in CKD patients remains unknown. We included 3262 patients with stage 3–5 CKD, grouped into five quintiles (Q1–5) by waist-to-hip ratio (WHR). Low WHR and BMI were associated with malnutrition and inflammation. In Cox regression, high BMI was not associated with all-cause mortality, but BMI < 22.5 kg/m2 increased the mortality risk. A U-shaped association between central obesity and all-cause mortality was found: WHR Q1, Q4, and Q5 had higher risk for all-cause mortality. The hazard ratio (95% confidence interval) of WHR Q5 and Q1 for all-cause mortality was 1.39 (1.03–1.87) and 1.53 (1.13–2.05) in male and 1.42 (1.02–1.99) and 1.28 (0.88–1.85) in female, respectively. Waist-to-height ratio and conicity index showed similar results. Low WHR or low BMI and high WHR, but not high BMI, are associated with all-cause mortality in advanced CKD.
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216
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Bilal M, Nawaz A, Kado T, Aslam MR, Igarashi Y, Nishimura A, Watanabe Y, Kuwano T, Liu J, Miwa H, Era T, Ikuta K, Imura J, Yagi K, Nakagawa T, Fujisaka S, Tobe K. Fate of adipocyte progenitors during adipogenesis in mice fed a high-fat diet. Mol Metab 2021; 54:101328. [PMID: 34562641 PMCID: PMC8495176 DOI: 10.1016/j.molmet.2021.101328] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/09/2021] [Accepted: 08/20/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Expansion of adipose tissue during obesity through the recruitment of newly generated adipocytes (hyperplasia) is metabolically healthy, whereas that through the enlargement of pre-existing adipocytes (hypertrophy) leads to metabolic complications. Accumulating evidence from genetic fate mapping studies suggests that in animal models receiving a high-fat diet (HFD), only adipocyte progenitors (APs) in gonadal white adipose tissue (gWAT) have proliferative potential. However, the proliferative potential and differentiating capacity of APs in the inguinal WAT (iWAT) of male mice remains controversial. The objective of this study was to investigate the proliferative and adipogenic potential of APs in the iWAT of HFD-fed male mice. METHODS We generated PDGFRα-GFP-Cre-ERT2/tdTomato (KI/td) mice and traced PDGFRα-positive APs in male mice fed HFD for 8 weeks. We performed a comprehensive phenotypic analysis, including the histology, immunohistochemistry, flow cytometry, and gene expression analysis, of KI/td mice fed HFD. RESULTS Contrary to the findings of others, we found an increased number of newly generated tdTomato+ adipocytes in the iWAT of male mice, which was smaller than that observed in the gWAT. We found that in male mice, the iWAT has more proliferating tdTomato+ APs than the gWAT. We also found that tdTomato+ APs showed a higher expression of Dpp4 and Pi16 than tdTomato- APs, and the expression of these genes was significantly higher in the iWAT than in the gWAT of mice fed HFD for 8 weeks. Collectively, our results reveal that HFD feeding induces the proliferation of tdTomato+ APs in the iWAT of male mice. CONCLUSION In male mice, compared with gWAT, iWAT undergoes hyperplasia in response to 8 weeks of HFD feeding through the recruitment of newly generated adipocytes due to an abundance of APs with a high potential for proliferation and differentiation.
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Affiliation(s)
- Muhammad Bilal
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Allah Nawaz
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan; Department of Molecular and Medical Pharmacology, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
| | - Tomonobu Kado
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Muhammad Rahil Aslam
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Yoshiko Igarashi
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Ayumi Nishimura
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Yoshiyuki Watanabe
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Takahide Kuwano
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Jianhui Liu
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Hiroyuki Miwa
- Department of Cell Modulation, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan
| | - Takumi Era
- Department of Cell Modulation, Institute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, 860-0811, Japan
| | - Koichi Ikuta
- Department of Virus Research, Laboratory of Immune Regulation, Institute of Frontier Life and Medical Sciences, Kyoto University, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Johji Imura
- Department of Diagnostic Pathology, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Kunimasa Yagi
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Takashi Nakagawa
- Department of Molecular and Medical Pharmacology, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Shiho Fujisaka
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan
| | - Kazuyuki Tobe
- First Department of Internal Medicine, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, 930-0194, Japan.
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Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and cancer death in white and black adults: A prospective cohort study. Obesity (Silver Spring) 2021; 29:2119-2125. [PMID: 34693655 PMCID: PMC9256081 DOI: 10.1002/oby.23290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/29/2021] [Accepted: 08/02/2021] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This study aimed to determine whether race modifies the association between obesity and cancer death. METHODS The Pennington Center Longitudinal Study included 18,296 adults; 35.0% were male and 34.3% were Black. The primary end point was death from cancer. RESULTS During a follow-up of 14.3 years, 346 cancer deaths occurred. Among men, race modified the association of BMI and cancer death (pinteraction = 0.045); compared with a BMI of 22 kg/m2 , a BMI of 35 in White men was associated with a hazard ratio of 1.74 (95% CI: 1.38-2.21), and in Black men, the hazard ratio was 0.64 (95% CI: 0.45-0.90). Among women, race did not modify the association of BMI and cancer death (pinteraction =0.43); however, compared with a BMI of 22, a BMI of 35 in White women was associated with a hazard ratio of 1.42 (95% CI: 1.18-1.70) and in Black women, the hazard ratio was 0.99 (95% CI: 0.82-1.20). CONCLUSIONS In this diverse cohort of adults, having obesity was associated with an increased risk of cancer death in White men and women. In contrast, having obesity was associated with a reduced risk of cancer death in Black men and did not influence risk in Black women.
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Affiliation(s)
- Justin C. Brown
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Emily F. Mire
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Xiaocheng Wu
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
- Louisiana State University Health Science Center School of Public Health/Louisiana Tumor Registry, 2020 Gravier St, New Orleans, LA 70122, USA
| | - Lucio Miele
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Augusto Ochoa
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Jovanny Zabaleta
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Peter T. Katzmarzyk
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
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218
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The Role of Diet, Alcohol, BMI, and Physical Activity in Cancer Mortality: Summary Findings of the EPIC Study. Nutrients 2021; 13:nu13124293. [PMID: 34959845 PMCID: PMC8709081 DOI: 10.3390/nu13124293] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Revised: 11/22/2021] [Accepted: 11/24/2021] [Indexed: 02/07/2023] Open
Abstract
Evidence on the impact of diet, alcohol, body-mass index (BMI), and physical activity on mortality due to cancer and other cancer-related outcomes is still scarce. Herein, we reviewed the contribution of the European Prospective Investigation into Cancer and Nutrition (EPIC) study to the current state of the art on the role of these factors in cancer mortality. We identified 45 studies using a rapid systematic review methodology. Dietary factors associated with reduced cancer mortality included raw vegetable intake; dietary fiber intake; the Mediterranean diet; other dietary scores; other diet patterns including low meat eaters, vegetarians/vegans, or fish eaters; dietary intake (or biomarkers) of some vitamins (e.g., vitamin D, vitamin K2, or Vitamin C); and intake of lignans. Physical activity and following healthy lifestyle recommendations also reduced cancer mortality risk. In contrast, dietary factors associated with higher cancer mortality risk included poor diet quality, consumption of alcohol and soft drinks including juice, and, to a lesser extent, intake of some fatty acids. Excess weight and obesity also increased the risk of cancer mortality. The EPIC study holds valuable information on diet and lifestyle factors and offers a unique opportunity to identify key diet-related factors for cancer mortality prevention.
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219
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Bima A, Eldakhakhny B, Nuwaylati D, Alnami A, Ajabnoor M, Elsamanoudy A. The Interplay of Vitamin D Deficiency and Cellular Senescence in The Pathogenesis of Obesity-Related Co-Morbidities. Nutrients 2021; 13:nu13114127. [PMID: 34836382 PMCID: PMC8618094 DOI: 10.3390/nu13114127] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 11/09/2021] [Accepted: 11/15/2021] [Indexed: 01/10/2023] Open
Abstract
This scoping review aims to clarify the interplay between obesity, vitamin D deficiency, cellular senescence, and obesity-related metabolic consequences, mainly subclinical atherosclerosis, and non-alcoholic fatty liver disease (NAFLD). Obesity is a significant global health problem that involves cellular, environmental, behavioral, and genetic elements. The fundamental cause of obesity throughout all life stages is an energy imbalance, and its consequences are countless and, foremost, very common. Obesity has been comprehensively studied in the literature given its association with low serum vitamin D, with many proposed mechanisms linking the two conditions. Moreover, markers of exaggerated cellular senescence have been proven to accumulate in obese individuals. Subclinical atherosclerosis initiates an early stage that ends in serious cardiac events, and obesity, low vitamin D, and senescent cells largely contribute to its associated chronic low-grade inflammation. Furthermore, NAFLD signifies the hepatic manifestation of metabolic syndrome, and studies have highlighted the important role of obesity, vitamin D deficiency, and cellular senescence in its development. Therefore, we outlined the most important mechanisms tying these conditions to one another.
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Affiliation(s)
- Abdulhadi Bima
- Department of Clinical Biochemistry, Faculty of Medicine, King AbdulAziz University, Jeddah 21465, Saudi Arabia; (A.B.); (B.E.); (A.A.); (M.A.)
| | - Basmah Eldakhakhny
- Department of Clinical Biochemistry, Faculty of Medicine, King AbdulAziz University, Jeddah 21465, Saudi Arabia; (A.B.); (B.E.); (A.A.); (M.A.)
| | - Dina Nuwaylati
- Department of Clinical Biochemistry, Faculty of Medicine, University of Jeddah, Jeddah 21959, Saudi Arabia;
| | - Abrar Alnami
- Department of Clinical Biochemistry, Faculty of Medicine, King AbdulAziz University, Jeddah 21465, Saudi Arabia; (A.B.); (B.E.); (A.A.); (M.A.)
| | - Mohammed Ajabnoor
- Department of Clinical Biochemistry, Faculty of Medicine, King AbdulAziz University, Jeddah 21465, Saudi Arabia; (A.B.); (B.E.); (A.A.); (M.A.)
| | - Ayman Elsamanoudy
- Department of Clinical Biochemistry, Faculty of Medicine, King AbdulAziz University, Jeddah 21465, Saudi Arabia; (A.B.); (B.E.); (A.A.); (M.A.)
- Medical Biochemistry and Molecular Biology, Faculty of Medicine, Mansoura University, Mansoura 35516, Egypt
- Correspondence: ; Tel.: +966-59-506-2375
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Obesity is a chronic disease. Positioning statement of the Diabetes, Obesity and Nutrition Workgroup of the Spanish Society of Internal Medicine (SEMI) for an approach centred on individuals with obesity. Rev Clin Esp 2021; 221:509-516. [PMID: 34752262 DOI: 10.1016/j.rceng.2020.06.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 06/11/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Obesity is a chronic, complex and multifactorial metabolic disease involved in the development of chronic noncommunicable diseases such as type 2 diabetes mellitus, cardiovascular disease and cancer. The care of individuals with obesity is an essential part of the holistic approach provided by internal medicine to patients. MATERIAL AND METHODS Between September 2019 and January 2020, we distributed an online survey to the members of the Spanish Society of Internal Medicine. We prepared a Strengths, Weaknesses, Opportunities, and Threats analysis using the responses and, using the nominal group technique, developed the recommendations. RESULTS We obtained 599 responses. The respondents mean age was 44.4 ± 11 years, and 52.1% were women. Some 91.8% of the internists evaluate their patients to rule out the comorbidities associated with obesity, mainly type 2 diabetes mellitus (96.2%), cardiovascular disease (88.9%) and obesity-associated hypoventilation syndrome (73%), among others. Some 79.9% provided indications on lifestyle changes. Some 64.1% and 74.9% of the respondents knew the indications for the drugs and bariatric surgery, respectively. Some 93.8% and 83% of the respondents considered obesity and excess weight a chronic disease, and 88.7% considered it a disease of specific interest to internists, who should take an active and leading role in its treatment (85.3%). CONCLUSIONS The objective of the present document is to determine the degree of understanding and sensitivity of internists regarding the management of obesity and to develop a consensus of recommendations for the Spanish Society of Internal Medicine based on the scientific evidence and the opinion of its members.
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Calderón-García JF, Roncero-Martín R, Rico-Martín S, De Nicolás-Jiménez JM, López-Espuela F, Santano-Mogena E, Alfageme-García P, Sánchez Muñoz-Torrero JF. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:11607. [PMID: 34770120 PMCID: PMC8582804 DOI: 10.3390/ijerph182111607] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 01/18/2023]
Abstract
INTRODUCTION The body roundness index (BRI) and a body shape index (ABSI) are novel anthropometric indices established to determine both the amount visceral adipose tissue and body fat. OBJECTIVE to investigate whether BRI and ABSI are better predictors of hypertension than body mass index (BMI), waist circumference (WC) or waist-to-height ratio (WHtR). Methods: A systematic search was conducted in the Scopus, PubMed and Web of Science databases up until 31 December 2020. RESULTS The estimated pooled area under curve [AUC (95% CI)] for BRI [0.67 (0.65-0.70)] for the prediction of hypertension were superior to that of ABSI (0.58 (0.56-0.60)), similar to that of BMI [0.67 (0.64-0.69)], and lower than those WC [0.68 (0.66-0.70)] and WHtR [0.68 (0.66-0.71)]. Nevertheless, the difference of BRI compared to WC and WHtR in the context of predicting hypertension was non-significant. ABSI was significantly lower (p < 0.05) than BRI, BMI, WC and WHtR. Similar findings were observed with the summary receiver operating characteristic curve (AUC-SROC). There were no significant differences between subgroups according to type of population or diagnostic criteria of hypertension. The diagnostic odds ratio (dORs) proved that increased BRI and ABSI were related with an elevated hypertension risk. CONCLUSIONS BRI and ABSI have discriminatory power for hypertension in adult women and men from different populations. Although, WHtR and WC provided the best performance when assessing hypertension, no significant differences were found for BRI. Finally, BRI was significantly better predictor of hypertension than ABSI.
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Affiliation(s)
- Julián F. Calderón-García
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain; (J.F.C.-G.); (R.R.-M.); (F.L.-E.); (E.S.-M.)
| | - Raúl Roncero-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain; (J.F.C.-G.); (R.R.-M.); (F.L.-E.); (E.S.-M.)
| | - Sergio Rico-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain; (J.F.C.-G.); (R.R.-M.); (F.L.-E.); (E.S.-M.)
| | - Jorge M. De Nicolás-Jiménez
- Department of Public Health, Centro de Salud Zona Centro de Cáceres, Servicio Extremeño de Salud, 10001 Cáceres, Spain;
| | - Fidel López-Espuela
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain; (J.F.C.-G.); (R.R.-M.); (F.L.-E.); (E.S.-M.)
| | - Esperanza Santano-Mogena
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain; (J.F.C.-G.); (R.R.-M.); (F.L.-E.); (E.S.-M.)
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Palliyaguru DL, Shiroma EJ, Nam JK, Duregon E, Vieira Ligo Teixeira C, Price NL, Bernier M, Camandola S, Vaughan KL, Colman RJ, Deighan A, Korstanje R, Peters LL, Dickinson SL, Ejima K, Simonsick EM, Launer LJ, Chia CW, Egan J, Allison DB, Churchill GA, Anderson RM, Ferrucci L, Mattison JA, de Cabo R. Fasting blood glucose as a predictor of mortality: Lost in translation. Cell Metab 2021; 33:2189-2200.e3. [PMID: 34508697 PMCID: PMC9115768 DOI: 10.1016/j.cmet.2021.08.013] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/24/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022]
Abstract
Aging leads to profound changes in glucose homeostasis, weight, and adiposity, which are considered good predictors of health and survival in humans. Direct evidence that these age-associated metabolic alterations are recapitulated in animal models is lacking, impeding progress to develop and test interventions that delay the onset of metabolic dysfunction and promote healthy aging and longevity. We compared longitudinal trajectories, rates of change, and mortality risks of fasting blood glucose, body weight, and fat mass in mice, nonhuman primates, and humans throughout their lifespans and found similar trajectories of body weight and fat in the three species. In contrast, fasting blood glucose decreased late in life in mice but increased over the lifespan of nonhuman primates and humans. Higher glucose was associated with lower mortality in mice but higher mortality in nonhuman primates and humans, providing a cautionary tale for translating age-associated metabolic changes from mice to humans.
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Affiliation(s)
- Dushani L Palliyaguru
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Eric J Shiroma
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD 21224, USA
| | - John K Nam
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Eleonora Duregon
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | | | - Nathan L Price
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA; Vascular Biology and Therapeutics Program, Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine, Department of Pathology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Michel Bernier
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Simonetta Camandola
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Kelli L Vaughan
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Ricki J Colman
- Wisconsin National Primate Research Center, University of Wisconsin-Madison, Madison, WI 53715, USA
| | | | | | | | | | - Keisuke Ejima
- School of Public Health, Indiana University, Bloomington, IN 47405, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Baltimore, MD 21224, USA
| | - Chee W Chia
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD 21224, USA
| | - Josephine Egan
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD 21224, USA
| | - David B Allison
- School of Public Health, Indiana University, Bloomington, IN 47405, USA
| | | | - Rozalyn M Anderson
- Department of Medicine, University of Wisconsin-Madison and Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI 53705, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Julie A Mattison
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA
| | - Rafael de Cabo
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21224, USA.
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Sun JY, Hua Y, Zou HYY, Qu Q, Yuan Y, Sun GZ, Sun W, Kong XQ. Association Between Waist Circumference and the Prevalence of (Pre) Hypertension Among 27,894 US Adults. Front Cardiovasc Med 2021; 8:717257. [PMID: 34712705 PMCID: PMC8545886 DOI: 10.3389/fcvm.2021.717257] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 09/08/2021] [Indexed: 12/20/2022] Open
Abstract
Aims: This study aimed to investigate the association between waist circumference and the prevalence of (pre) hypertension. Methods: Cross-sectional data from the 2007–2018 National Health and Nutrition Examination Survey were analyzed. The historical trend of abdominal obesity was assessed by the Cochran–Armitage trend test. After preprocessed by the multiple imputation strategy, we used generalized additive models to assess the association of waist circumference with systolic/diastolic blood pressure and performed correlation analysis by the Spearman correlation coefficient. Moreover, we used multivariable logistic regression (non-adjusted, minimally adjusted, and fully adjusted models), restricted cubic spline, and sensitivity analysis to investigate the association between waist circumference and (pre) hypertension. Results: A total of 27,894 participants were included in this study. In the fully adjusted model, waist circumference was positively associated with (pre) hypertension with odds ratios (95% confidence intervals) of 1.28 (1.18–1.40) in the young group and 1.23 (1.15–1.33) in the old group. Restricted cubic spline showed a higher prevalence of (pre) hypertension with the increase of waist circumference. In the subgroup analysis, waist circumference showed a robust trend across all BMI categories with odds ratios (95% confidence intervals) of 3.33 (1.29–8.85), 1.35 (1.17–1.57), 1.27 (1.13–1.41), and 1.09 (1.01–1.17) in underweight, normal weight, overweight, and obese individuals, respectively. Conclusion: This study highlighted waist circumference as a significant biomarker to evaluate the risk of (pre) hypertension. Our results supported the measure of waist circumference regardless of BMI when evaluating the cardiometabolic risk related to fat distribution.
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Affiliation(s)
- Jin-Yu Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yang Hua
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hua-Yi-Yang Zou
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Qu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yue Yuan
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guo-Zhen Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiang-Qing Kong
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Gutiérrez-Cuevas J, Santos A, Armendariz-Borunda J. Pathophysiological Molecular Mechanisms of Obesity: A Link between MAFLD and NASH with Cardiovascular Diseases. Int J Mol Sci 2021; 22:11629. [PMID: 34769060 PMCID: PMC8583943 DOI: 10.3390/ijms222111629] [Citation(s) in RCA: 135] [Impact Index Per Article: 33.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 09/16/2021] [Indexed: 02/06/2023] Open
Abstract
Obesity is now a worldwide epidemic ensuing an increase in comorbidities' prevalence, such as insulin resistance, type 2 diabetes (T2D), metabolic dysfunction-associated fatty liver disease (MAFLD), nonalcoholic steatohepatitis (NASH), hypertension, cardiovascular disease (CVD), autoimmune diseases, and some cancers, CVD being one of the main causes of death in the world. Several studies provide evidence for an association between MAFLD and atherosclerosis and cardio-metabolic disorders, including CVDs such as coronary heart disease and stroke. Therefore, the combination of MAFLD/NASH is associated with vascular risk and CVD progression, but the underlying mechanisms linking MAFLD/NASH and CVD are still under investigation. Several underlying mechanisms may probably be involved, including hepatic/systemic insulin resistance, atherogenic dyslipidemia, hypertension, as well as pro-atherogenic, pro-coagulant, and pro-inflammatory mediators released from the steatotic/inflamed liver. MAFLD is strongly associated with insulin resistance, which is involved in its pathogenesis and progression to NASH. Insulin resistance is a major cardiovascular risk factor in subjects without diabetes. However, T2D has been considered the most common link between MAFLD/NASH and CVD. This review summarizes the evidence linking obesity with MAFLD, NASH, and CVD, considering the pathophysiological molecular mechanisms involved in these diseases. We also discuss the association of MAFLD and NASH with the development and progression of CVD, including structural and functional cardiac alterations, and pharmacological strategies to treat MAFLD/NASH and cardiovascular prevention.
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Affiliation(s)
- Jorge Gutiérrez-Cuevas
- Department of Molecular Biology and Genomics, Institute for Molecular Biology in Medicine and Gene Therapy, University of Guadalajara, CUCS, Guadalajara 44340, Jalisco, Mexico
| | - Arturo Santos
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Campus Guadalajara, Zapopan 45201, Jalisco, Mexico;
| | - Juan Armendariz-Borunda
- Department of Molecular Biology and Genomics, Institute for Molecular Biology in Medicine and Gene Therapy, University of Guadalajara, CUCS, Guadalajara 44340, Jalisco, Mexico
- Tecnologico de Monterrey, School of Medicine and Health Sciences, Campus Guadalajara, Zapopan 45201, Jalisco, Mexico;
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The Association Between Active Transportation and Serum Total 25-Hydroxyvitamin D Levels Among US Childbearing-Aged Women. J Phys Act Health 2021; 19:20-28. [PMID: 34702787 DOI: 10.1123/jpah.2021-0292] [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: 04/29/2021] [Revised: 09/03/2021] [Accepted: 09/08/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Serum total 25-hydroxyvitamin D (25[OH]D) and physical activity (PA) both play important roles in maternal-fetal health. However, a high prevalence of vitamin D and PA insufficiency has been observed in women of childbearing age. Active transportation may increase overall PA levels and potentially boost serum 25(OH)D levels. METHODS Data from the National Health and Nutrition Examination Survey between 2007 and 2014 were used. A total of 5601 women aged 18-49 years were included. Transportation PA (TPA) was quantified as metabolic equivalents of task and serum 25(OH)D levels was measured. Multivariable logistic regression models adjusted for potential confounders were conducted. RESULTS The corresponding adjusted odds ratios associated with vitamin D insufficiency (<50 nmol/L) were 1.09 (95% confidence interval, 0.87-1.37) for 1 to 499 MET minutes per week of TPA, 0.69 (0.52-0.91) for 500 to 1000 MET minutes per week of TPA, and 0.95 (0.72-1.26) for >1000 MET minutes per week of TPA, respectively, compared with no TPA. Using vitamin D deficiency (<30 nmol/L) as the outcome led to similar results. The association between TPA and serum 25(OH)D levels was more robust in high sedentary time. CONCLUSIONS A moderate level of TPA is related to lower odds of suboptimal vitamin D status among women of childbearing age.
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Abstract
Obesity is a major risk factor for the development of comorbidities such as type 2 diabetes, neurodegenerative disorders, osteoarthritis, cancer, cardiovascular and renal diseases. The onset of obesity is linked to an increase of senescent cells within adipose tissue and other organs. Cellular senescence is a stress response that has been shown to be causally linked to aging and development of various age-related diseases such as obesity. The senescence-associated-secretory phenotype of senescent cells creates a chronic inflammatory milieu that leads to local and systemic dysfunction. The elimination of senescent cells using pharmacological approaches (i.e., senolytics) has been shown to delay, prevent, or alleviate obesity-related organ dysfunction.
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Affiliation(s)
- Selim Chaib
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA
| | - Tamara Tchkonia
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA
| | - James L Kirkland
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA.
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Aberle J, Lautenbach A, Meyhöfer S, Meyhöfer SM, Selig L, Blüher M, Menzen M. Adipositas und Diabetes. DIABETOL STOFFWECHS 2021. [DOI: 10.1055/a-1515-8779] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Jens Aberle
- Endokrinologie und Diabetologie, Universitäres Adipositas Centrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Anne Lautenbach
- Endokrinologie und Diabetologie, Universitäres Adipositas Centrum, Universitätsklinikum Hamburg-Eppendorf, Hamburg
| | - Svenja Meyhöfer
- Institut für Endokrinologie & Diabetes, Universität zu Lübeck, Endokrinologie, Diabetologie und Stoffwechsel, Medizinische Klinik 1, UKSH – Campus Lübeck, Lübeck
| | - Sebastian M. Meyhöfer
- Institut für Endokrinologie & Diabetes, Universität zu Lübeck, Endokrinologie, Diabetologie und Stoffwechsel, Medizinische Klinik 1, UKSH – Campus Lübeck, Lübeck
| | - Lars Selig
- Ernährungsteam/Ernährungsambulanz, Universitätsklinikum Leipzig – AoR, Leipzig
| | - Matthias Blüher
- Klinik und Poliklinik für Endokrinologie und Nephrologie, Universitätsmedizin Leipzig, Leipzig
| | - Markus Menzen
- Abteilung für Innere Medizin, Diabetologie, Gemeinschaftskrankenhaus Bonn, Bonn
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Guha A, Wang X, Harris RA, Nelson AG, Stepp D, Klaassen Z, Raval P, Cortes J, Coughlin SS, Bogdanov VY, Moore JX, Desai N, Miller DD, Lu XY, Kim HW, Weintraub NL. Obesity and the Bidirectional Risk of Cancer and Cardiovascular Diseases in African Americans: Disparity vs. Ancestry. Front Cardiovasc Med 2021; 8:761488. [PMID: 34733899 PMCID: PMC8558482 DOI: 10.3389/fcvm.2021.761488] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/21/2021] [Indexed: 12/28/2022] Open
Abstract
Cardiovascular disease (CVD) and cancer often occur in the same individuals, in part due to the shared risk factors such as obesity. Obesity promotes adipose inflammation, which is pathogenically linked to both cardiovascular disease and cancer. Compared with Caucasians, the prevalence of obesity is significantly higher in African Americans (AA), who exhibit more pronounced inflammation and, in turn, suffer from a higher burden of CVD and cancer-related mortality. The mechanisms that underlie this association among obesity, inflammation, and the bidirectional risk of CVD and cancer, particularly in AA, remain to be determined. Socio-economic disparities such as lack of access to healthy and affordable food may promote obesity and exacerbate hypertension and other CVD risk factors in AA. In turn, the resulting pro-inflammatory milieu contributes to the higher burden of CVD and cancer in AA. Additionally, biological factors that regulate systemic inflammation may be contributory. Mutations in atypical chemokine receptor 1 (ACKR1), otherwise known as the Duffy antigen receptor for chemokines (DARC), confer protection against malaria. Many AAs carry a mutation in the gene encoding this receptor, resulting in loss of its expression. ACKR1 functions as a decoy chemokine receptor, thus dampening chemokine receptor activation and inflammation. Published and preliminary data in humans and mice genetically deficient in ACKR1 suggest that this common gene mutation may contribute to ethnic susceptibility to obesity-related disease, CVD, and cancer. In this narrative review, we present the evidence regarding obesity-related disparities in the bidirectional risk of CVD and cancer and also discuss the potential association of gene polymorphisms in AAs with emphasis on ACKR1.
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Affiliation(s)
- Avirup Guha
- Harrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, OH, United States
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Xiaoling Wang
- Georgia Prevention Institute, Augusta University, Augusta, GA, United States
| | - Ryan A. Harris
- Georgia Prevention Institute, Augusta University, Augusta, GA, United States
| | - Anna-Gay Nelson
- Department of Chemistry, Paine College, Augusta, GA, United States
| | - David Stepp
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Zachary Klaassen
- Section of Urology, Department of Surgery, Medical College of Georgia at Augusta University, Georgia Cancer Center, Augusta, GA, United States
| | - Priyanka Raval
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
| | - Jorge Cortes
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
| | - Steven S. Coughlin
- Department of Population Health Sciences, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | | | - Justin X. Moore
- Cancer Prevention, Control, and Population Health Program, Georgia Cancer Center, Medical College of Georgia, Augusta University, Augusta, GA, United States
| | - Nihar Desai
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
- Center for Outcomes Research and Evaluation, New Haven, CT, United States
| | - D. Douglas Miller
- Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Xin-Yun Lu
- Department of Neuroscience & Regenerative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Ha Won Kim
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Neal L. Weintraub
- Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA, United States
- Vascular Biology Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
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Yin R, Wang X, Li K, Yu K, Yang L. Lipidomic profiling reveals distinct differences in plasma lipid composition in overweight or obese adolescent students. BMC Endocr Disord 2021; 21:201. [PMID: 34641844 PMCID: PMC8513241 DOI: 10.1186/s12902-021-00859-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 08/31/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION The relationship between dyslipidemia and obesity has been widely reported, but the global lipid profiles associated with the development of obesity still need to be clarified. An investigation into the association between the lipidomic plasma profile and adolescent obesity may provide new insights into the development of obesity. METHODS Mass spectrometry coupled with liquid chromatography was applied to detect the global lipidome in the fasting plasma from 90 Chinese adolescents, including 34 obese adolescents, 26 overweight adolescents, and 30 adolescents with a normal body mass index (BMI). All participants underwent anthropometric measurements by using InBody. Clinical biochemical indicators were measured by Cobas Elecsys. RESULTS Both qualitative and quantitative analyses revealed a gradual change in plasma lipid features among obese students, exhibiting characteristics close to overweight students, but differing significantly from normal students. Compared with normal and overweight students, levels of triglyceride (TG), 18-hydroxycortisol, isohumulinone A, and 11-dihydro-12-norneoquassin were up-regulated in the obese group, while phosphatidylcholine (PC), phosphatidylethanolamine (PE), lysoPC (LPC), lysoPE (LPE), and phosphatidylinositol (PI) were significantly down-regulated in the obese group. Then, we conducted Venn diagrams and selected 8 significant metabolites from the 3 paired comparisons. Most of the selected features were significantly correlated with the anthropometric measurements. CONCLUSIONS This study demonstrated evidence for a relationship between the eight significant metabolites with obese adolescents. These lipid features may provide a basis for evaluating risk and monitoring the development of obesity.
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Affiliation(s)
- Ruili Yin
- Beijing Key Laboratory of Diabetes Prevention and Research, Center for Endocrine Metabolic and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China
| | - Xiaojing Wang
- Beijing Key Laboratory of Diabetes Prevention and Research, Center for Endocrine Metabolic and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China
| | - Kun Li
- Beijing Key Laboratory of Diabetes Prevention and Research, Center for Endocrine Metabolic and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China
| | - Ke Yu
- Beijing Key Laboratory of Diabetes Prevention and Research, Center for Endocrine Metabolic and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
| | - Longyan Yang
- Beijing Key Laboratory of Diabetes Prevention and Research, Center for Endocrine Metabolic and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, 101149, China.
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Chun KH. Mouse model of the adipose organ: the heterogeneous anatomical characteristics. Arch Pharm Res 2021; 44:857-875. [PMID: 34606058 DOI: 10.1007/s12272-021-01350-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 09/20/2021] [Indexed: 12/24/2022]
Abstract
Adipose tissue plays a pivotal role in energy storage, hormone secretion, and temperature control. Mammalian adipose tissue is largely divided into white adipose tissue and brown adipose tissue, although recent studies have discovered the existence of beige adipocytes. Adipose tissues are widespread over the whole body and each location shows distinctive metabolic features. Mice are used as a representative experimental model system in metabolic studies due to their numerous advantages. Importantly, the adipose tissues of experimental animals and humans are not perfectly matched, and each adipose tissue exhibits both similar and specific characteristics. Nevertheless, the diversity and characteristics of mouse adipose tissue have not yet been comprehensively summarized. This review summarizes diverse information about the different types of adipose tissue being studied in mouse models. The types and characteristics of adipocytes were described, and each adipose tissue was classified by type, and features such as its distribution, origin, differences from humans, and metabolic characteristics were described. In particular, the distribution of widely studied adipose tissues was illustrated so that researchers can comprehensively grasp its location. Also, the adipose tissues misused or confusingly used among researchers were described. This review will provide researchers with comprehensive information and cautions needed to study adipose tissues in mouse models.
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Affiliation(s)
- Kwang-Hoon Chun
- Gachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University, Inchon, 21936, Republic of Korea.
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231
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Kheirvari M, Anbara T. Changes in clinical depression following Sleeve Gastrectomy. Endocrinol Diabetes Metab 2021; 4:e00282. [PMID: 34505417 PMCID: PMC8502213 DOI: 10.1002/edm2.282] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 05/31/2021] [Accepted: 06/05/2021] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Bariatric surgery is safe and efficient surgical method for weight loss, but it is not free from complications. We aim to evaluate the prevalence of depression after Sleeve Gastrectomy (SG) in a narrow period of time on Iranian ethnicity. METHODS 307 cases that underwent SG in Erfan Niayesh hospital were included. The questionnaire was based on International Classification of Diseases, Ninth Revision (ICD-9) codes to define diagnoses. Screening follow-up period was 20 to 24 months. The level of statistical significance was set at p < .05. RESULTS Of 307 subjects, preoperative depression was 30.2% and post-operative depression was 37.7% (p = .025). Besides, BMI, dyslipidaemia, good feelings about body size and weight loss were statistically significant at p < .05.There was an increased risk of depression following the procedure mainly in divorced cases. CONCLUSION The prevalence of clinical depression after sleeve gastrectomy was statistically significant and dependent on other variables. We provided guidance for people considering SG and their clinicians in terms of evaluating potential risks and benefits of surgery.
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Affiliation(s)
- Milad Kheirvari
- Microbiology Research CenterPasteur Institute of IranTehranIran
| | - Taha Anbara
- Department of SurgeryErfan Niayesh HospitalTehranIran
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232
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van Hoorn F, de Wit L, van Rossem L, Jambroes M, Groenendaal F, Kwee A, Lamain - de Ruiter M, Franx A, van Rijn BB, Koster MPH, Bekker MN. A prospective population-based multicentre study on the impact of maternal body mass index on adverse pregnancy outcomes: Focus on normal weight. PLoS One 2021; 16:e0257722. [PMID: 34555090 PMCID: PMC8460045 DOI: 10.1371/journal.pone.0257722] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Accepted: 09/08/2021] [Indexed: 12/16/2022] Open
Abstract
Background Maternal body mass index (BMI) below or above the reference interval (18.5–24.9 kg/m2) is associated with adverse pregnancy outcomes. Whether BMI exerts an effect within the reference interval is unclear. Therefore, we assessed the association between adverse pregnancy outcomes and BMI, in particular within the reference interval, in a general unselected pregnant population. Methods Data was extracted from a prospective population-based multicentre cohort (Risk Estimation for PrEgnancy Complications to provide Tailored care (RESPECT) study) conducted between December 2012 to January 2014. BMI was studied in categories (I: <18.5, II: 18.5–19.9, III: 20.0–22.9, IV: 23.0–24.9, V: 25.0–27.4, VI: 27.5–29.9, VII: >30.0 kg/m2) and as a continuous variable within the reference interval. Adverse pregnancy outcomes were defined as composite endpoints for maternal, neonatal or any pregnancy complication, and for adverse pregnancy outcomes individually. Linear trends were assessed using linear-by-linear association analysis and (adjusted) relative risks by regression analysis. Results The median BMI of the 3671 included women was 23.2 kg/m2 (IQR 21.1–26.2). Adverse pregnancy outcomes were reported in 1256 (34.2%). Linear associations were observed between BMI categories and all three composite endpoints, and individually for pregnancy-induced hypertension (PIH), preeclampsia, gestational diabetes mellitus (GDM), large-for-gestational-age (LGA) neonates; but not for small-for-gestational-age neonates and preterm birth. Within the reference interval, BMI was associated with the composite maternal endpoint, PIH, GDM and LGA, with adjusted relative risks of 1.15 (95%CI 1.06–1.26), 1.12 (95%CI 1.00–1.26), 1.31 (95%CI 1.11–1.55) and 1.09 (95%CI 1.01–1.17). Conclusions Graded increase in maternal BMI appears to be an indicator of risk for adverse pregnancy outcomes even among women with a BMI within the reference interval. The extent to which BMI directly contributes to the increased risk in this group should be evaluated in order to determine strategies most valuable for promoting safety and long-term health for mothers and their offspring.
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Affiliation(s)
- Fieke van Hoorn
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- * E-mail:
| | - Leon de Wit
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Lenie van Rossem
- Department of Public Health, Healthcare Innovation, and Medical Humanities, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Marielle Jambroes
- Department of Public Health, Healthcare Innovation, and Medical Humanities, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Floris Groenendaal
- Department of Neonatology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Anneke Kwee
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marije Lamain - de Ruiter
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Arie Franx
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Bas B. van Rijn
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Maria P. H. Koster
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Mireille N. Bekker
- Department of Obstetrics and Gynaecology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
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Sulc J, Sonrel A, Mounier N, Auwerx C, Marouli E, Darrous L, Draganski B, Kilpeläinen TO, Joshi P, Loos RJF, Kutalik Z. Composite trait Mendelian randomization reveals distinct metabolic and lifestyle consequences of differences in body shape. Commun Biol 2021; 4:1064. [PMID: 34518635 PMCID: PMC8438050 DOI: 10.1038/s42003-021-02550-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/12/2021] [Indexed: 02/08/2023] Open
Abstract
Obesity is a major risk factor for a wide range of cardiometabolic diseases, however the impact of specific aspects of body morphology remains poorly understood. We combined the GWAS summary statistics of fourteen anthropometric traits from UK Biobank through principal component analysis to reveal four major independent axes: body size, adiposity, predisposition to abdominal fat deposition, and lean mass. Mendelian randomization analysis showed that although body size and adiposity both contribute to the consequences of BMI, many of their effects are distinct, such as body size increasing the risk of cardiac arrhythmia (b = 0.06, p = 4.2 ∗ 10-17) while adiposity instead increased that of ischemic heart disease (b = 0.079, p = 8.2 ∗ 10-21). The body mass-neutral component predisposing to abdominal fat deposition, likely reflecting a shift from subcutaneous to visceral fat, exhibited health effects that were weaker but specifically linked to lipotoxicity, such as ischemic heart disease (b = 0.067, p = 9.4 ∗ 10-14) and diabetes (b = 0.082, p = 5.9 ∗ 10-19). Combining their independent predicted effects significantly improved the prediction of obesity-related diseases (p < 10-10). The presented decomposition approach sheds light on the biological mechanisms underlying the heterogeneity of body morphology and its consequences on health and lifestyle.
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Affiliation(s)
- Jonathan Sulc
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Anthony Sonrel
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Department of Molecular Life Sciences, University of Zürich, Zürich, Switzerland
| | - Ninon Mounier
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Chiara Auwerx
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Eirini Marouli
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, London, UK
- Centre for Genomic Health, Life Sciences, London, UK
| | - Liza Darrous
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Bogdan Draganski
- Laboratory for Research in Neuroimaging, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Neurology Department, Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zoltán Kutalik
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, Switzerland.
- Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK.
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Bettini S, Quinto G, Neunhaeuserer D, Battista F, Belligoli A, Milan G, Gasperetti A, Vettor R, Ermolao A, Busetto L. Edmonton Obesity Staging System: an improvement by cardiopulmonary exercise testing. Int J Obes (Lond) 2021; 45:1949-1957. [PMID: 33990701 DOI: 10.1038/s41366-021-00856-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 04/26/2021] [Accepted: 04/30/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND/OBJECTIVES Different approaches are used to classify obesity severity. Beyond classical anthropometric measurements, the Edmonton Obesity Staging System (EOSS) considers medical, physical and psychological parameters. However, this method has some limitations, principally due to the absence of an objective measure for physical impairment. The aim of our study is thus to overcome this limitation suggesting a new functional parameter obtained by cardiopulmonary exercise testing (CPET), i.e., cardiorespiratory fitness (CRF), expressed as weight-adjusted peak oxygen consumption (VO2peak/kg). SUBJECTS/METHODS This observational cross-sectional study conducted on a population of 843 patients affected by obesity finally enrolled 500 subjects. Every patient underwent clinical, anthropometric, biochemical assessment and CPET. First, participants have been classified according to standard EOSS in five stages. Second, patients were reclassified according to the new modified EOSS (EOSS-CRF) based on their age- and gender-appropriate VO2peak/kg percentiles as reported in the healthy normal-weight population of the FRIEND registry. RESULTS VO2peak/kg was significantly different between standard EOSS classes 1 and 2 and classes 1 and 3 (ANCOVA p model = 0.004), whereas patients in classes 2 and 3 showed similar CRF. The EOSS-CRF classification varied in number of patients in each class compared to EOSS, particularly with a shift from class 2 to class 3. Moreover, CRF showed that physical impairment is less addressed by EOSS when compared to EOSS-CRF. CONCLUSIONS The integration of EOSS with CRF allowed us to assign to each patient a severity index that considers not only clinical parameters, but also their functional impairment through a quantitative and prognostically important parameter (VO2peak/kg). This improvement of the staging system may also provide a better approach to identify individuals at increased risk of mortality leading to targeted therapeutic management and prognostic risk stratification for patients with obesity.
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Affiliation(s)
- Silvia Bettini
- Center for the Study and Integrated Treatment of Obesity (CeSTIO), Internal Medicine 3, Department of Medicine, University of Padova, Padova, Italy
| | - Giulia Quinto
- Sport and Exercise Medicine Division, Regional Center for the Therapeutic Prescription of Exercise in Chronic Disease, Department of Medicine, University of Padova, Padova, Italy.
| | - Daniel Neunhaeuserer
- Sport and Exercise Medicine Division, Regional Center for the Therapeutic Prescription of Exercise in Chronic Disease, Department of Medicine, University of Padova, Padova, Italy
| | - Francesca Battista
- Sport and Exercise Medicine Division, Regional Center for the Therapeutic Prescription of Exercise in Chronic Disease, Department of Medicine, University of Padova, Padova, Italy
| | - Anna Belligoli
- Center for the Study and Integrated Treatment of Obesity (CeSTIO), Internal Medicine 3, Department of Medicine, University of Padova, Padova, Italy
| | - Gabriella Milan
- Center for the Study and Integrated Treatment of Obesity (CeSTIO), Internal Medicine 3, Department of Medicine, University of Padova, Padova, Italy
| | - Andrea Gasperetti
- Sport and Exercise Medicine Division, Regional Center for the Therapeutic Prescription of Exercise in Chronic Disease, Department of Medicine, University of Padova, Padova, Italy
| | - Roberto Vettor
- Center for the Study and Integrated Treatment of Obesity (CeSTIO), Internal Medicine 3, Department of Medicine, University of Padova, Padova, Italy
| | - Andrea Ermolao
- Sport and Exercise Medicine Division, Regional Center for the Therapeutic Prescription of Exercise in Chronic Disease, Department of Medicine, University of Padova, Padova, Italy
| | - Luca Busetto
- Center for the Study and Integrated Treatment of Obesity (CeSTIO), Internal Medicine 3, Department of Medicine, University of Padova, Padova, Italy
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Ried-Larsen M, Rasmussen MG, Blond K, Overvad TF, Overvad K, Steindorf K, Katzke V, Andersen JLM, Petersen KEN, Aune D, Tsilidis KK, Heath AK, Papier K, Panico S, Masala G, Pala V, Weiderpass E, Freisling H, Bergmann MM, Verschuren WMM, Zamora-Ros R, Colorado-Yohar SM, Spijkerman AMW, Schulze MB, Ardanaz EMA, Andersen LB, Wareham N, Brage S, Grøntved A. Association of Cycling With All-Cause and Cardiovascular Disease Mortality Among Persons With Diabetes: The European Prospective Investigation Into Cancer and Nutrition (EPIC) Study. JAMA Intern Med 2021; 181:1196-1205. [PMID: 34279548 PMCID: PMC8290339 DOI: 10.1001/jamainternmed.2021.3836] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 05/15/2021] [Indexed: 12/23/2022]
Abstract
Importance Premature death from all causes and cardiovascular disease (CVD) causes is higher among persons with diabetes. Objective To investigate the association between time spent cycling and all-cause and CVD mortality among persons with diabetes, as well as to evaluate the association between change in time spent cycling and risk of all-cause and CVD mortality. Design, Setting, and Participants This prospective cohort study included 7459 adults with diabetes from the European Prospective Investigation into Cancer and Nutrition study. Questionnaires regarding medical history, sociodemographic, and lifestyle information were administered in 10 Western European countries from 1992 through 2000 (baseline examination) and at a second examination 5 years after baseline. A total of 5423 participants with diabetes completed both examinations. The final updated primary analysis was conducted on November 13, 2020. Exposures The primary exposure was self-reported time spent cycling per week at the baseline examination. The secondary exposure was change in cycling status from baseline to the second examination. Main Outcomes and Measures The primary and secondary outcomes were all-cause and CVD mortality, respectively, adjusted for other physical activity modalities, diabetes duration, and sociodemographic and lifestyle factors. Results Of the 7459 adults with diabetes included in the analysis, the mean (SD) age was 55.9 (7.7) years, and 3924 (52.6%) were female. During 110 944 person-years of follow-up, 1673 deaths from all causes were registered. Compared with the reference group of people who reported no cycling at baseline (0 min/wk), the multivariable-adjusted hazard ratios for all-cause mortality were 0.78 (95% CI, 0.61-0.99), 0.76 (95% CI, 0.65-0.88), 0.68 (95% CI, 0.57-0.82), and 0.76 (95% CI, 0.63-0.91) for cycling 1 to 59, 60 to 149, 150 to 299, and 300 or more min/wk, respectively. In an analysis of change in time spent cycling with 57 802 person-years of follow-up, a total of 975 deaths from all causes were recorded. Compared with people who reported no cycling at both examinations, the multivariable-adjusted hazard ratios for all-cause mortality were 0.90 (95% CI, 0.71-1.14) in those who cycled and then stopped, 0.65 (95% CI, 0.46-0.92) in initial noncyclists who started cycling, and 0.65 (95% CI, 0.53-0.80) for people who reported cycling at both examinations. Similar results were observed for CVD mortality. Conclusion and Relevance In this cohort study, cycling was associated with lower all-cause and CVD mortality risk among people with diabetes independent of practicing other types of physical activity. Participants who took up cycling between the baseline and second examination had a considerably lower risk of both all-cause and CVD mortality compared with consistent noncyclists.
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Affiliation(s)
- Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- University of Southern Denmark, Odense, Denmark
| | | | - Kim Blond
- Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Thure F. Overvad
- Aalborg Thrombosis Research Unit, Aalborg University, Aalborg, Denmark
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Kim Overvad
- Aalborg Thrombosis Research Unit, Aalborg University, Aalborg, Denmark
- Aarhus University, Aarhus, Denmark
| | | | - Verena Katzke
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Dagfinn Aune
- Imperial College London, London, England, United Kingdom
| | - Kostas K. Tsilidis
- Imperial College London, London, England, United Kingdom
- University of Ioannina School of Medicine, Ioannina, Greece
| | | | - Keren Papier
- University of Oxford, Oxford, England, United Kingdom
| | | | | | - Valeria Pala
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | | | | | | | - W. M. Monique Verschuren
- National Institute for Public Health and the Environment, Utrecht, the Netherlands
- Utrecht University, Utrecht, the Netherlands
| | - Raul Zamora-Ros
- Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - Sandra M. Colorado-Yohar
- Biomedical Research Institute of Murcia(IMIB-Arrixaca), Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- University of Antioquia, Medellín, Colombia
| | | | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Eva M. A. Ardanaz
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Public Health Institute of Navarra, Navarra, Spain
- Navarra Institute for Health Research, Navarra, Spain
| | | | - Nick Wareham
- University of Cambridge, Cambridge, England, United Kingdom
| | - Søren Brage
- University of Cambridge, Cambridge, England, United Kingdom
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Padmapriya N, Tint MT, Sadananthan SA, Michael N, Chen B, Cai S, Toh JY, Lanca C, Tan KH, Saw SM, Shek LPC, Chong YS, Gluckman PD, Lee YS, Yap F, Fortier MV, Chong MFF, Godfrey KM, Eriksson JG, Velan SS, Kramer MS, Bernard JY, Müller-Riemenschneider F. The longitudinal association between early-life screen viewing and abdominal adiposity-findings from a multiethnic birth cohort study. Int J Obes (Lond) 2021; 45:1995-2005. [PMID: 34108642 PMCID: PMC7611569 DOI: 10.1038/s41366-021-00864-9] [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: 05/21/2020] [Revised: 05/02/2021] [Accepted: 05/18/2021] [Indexed: 02/05/2023]
Abstract
IMPORTANCE Screen viewing in adults has been associated with greater abdominal adiposity, with the magnitude of associations varying by sex and ethnicity, but the evidence is lacking at younger ages. We aimed to investigate sex- and ethnic-specific associations of screen-viewing time at ages 2 and 3 years with abdominal adiposity measured by magnetic resonance imaging at age 4.5 years. METHODS The Growing Up in Singapore Towards healthy Outcomes is an ongoing prospective mother-offspring cohort study. Parents/caregivers reported the time their child spent viewing television, handheld devices, and computer screens at ages 2 and 3 years. Superficial and deep subcutaneous and visceral abdominal adipose tissue volumes were quantified from magnetic resonance images acquired at age 4.5 years. Associations between screen-viewing time and abdominal adipose tissue volumes were examined by multivariable linear regression adjusting for confounding factors. RESULTS In the overall sample (n = 307), greater total screen-viewing time and handheld device times were associated with higher superficial and deep subcutaneous adipose tissue volumes, but not with visceral adipose tissue volumes. Interactions with child sex were found, with significant associations with superficial and deep subcutaneous and visceral adipose tissue volumes in boys, but not in girls. Among boys, the increases in mean (95% CI) superficial and deep subcutaneous and visceral adipose tissue volumes were 24.3 (9.9, 38.7), 17.6 (7.4, 27.8), and 7.8 (2.1, 13.6) mL per hour increase in daily total screen-viewing time, respectively. Ethnicity-specific analyses showed associations of total screen-viewing time with abdominal adiposity only in Malay children. Television viewing time was not associated with abdominal adiposity. CONCLUSION Greater total screen-viewing time (and in particular, handheld device viewing time) was associated with higher abdominal adiposity in boys and Malay children. Additional studies are necessary to confirm these associations and to examine screen-viewing interventions for preventing excessive abdominal adiposity and its adverse cardiometabolic consequences.
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Affiliation(s)
- Natarajan Padmapriya
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
| | - Mya-Thway Tint
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Suresh Anand Sadananthan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Navin Michael
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Bozhi Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Shirong Cai
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Carla Lanca
- Singapore Eye Research Institute, Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Seang Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | | | - Mary Foong-Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - S Sendhil Velan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Institute for Bioengineering and Bioimaging, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Michael S Kramer
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Pediatrics, McGill University Faculty of Medicine, Montreal, QC, Canada
- Department of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, QC, Canada
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Centre for Research in Epidemiology and Statistics (CRESS), Université de Paris, Inserm, INRAE, Paris, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Berlin Institute of Health, Charite University Medical Centre, Berlin, Germany
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Lucini D, Pagani E, Capria F, Galliano M, Marchese M, Cribellati S. Evidence of Better Psychological Profile in Working Population Meeting Current Physical Activity Recommendations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18178991. [PMID: 34501580 PMCID: PMC8430491 DOI: 10.3390/ijerph18178991] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/03/2021] [Accepted: 08/06/2021] [Indexed: 11/16/2022]
Abstract
Workplace Health Promotion (WHP) may improve health, productivity and safety and reduce absenteeism. However, although desirable, it is difficult to design tailored (and thus effective) WHP programs, particularly in small-medium companies, which rarely have access to sufficient economic and organizational resources. In this study, 1305 employees filled out an online anonymous lifestyle questionnaire hosted on the website of a non-profit organization, which aims to promote a healthy lifestyle among workers. The data show gender differences regarding stress perception and, in the working population meeting current physical activity recommendations (threshold = 600 MET·min/week), they point out the evidence of a better psychological and nutrition profile, a perception of better job performance, and improved sleep and health quality. Moreover, a unitary index (ranging from 0-100 (with higher scores being healthier)), combining self-reported metrics for diet, exercise and stress, was significantly higher in active employees (67.51 ± 12.46 vs. 39.84 ± 18.34, p < 0.001). The possibility of assessing individual lifestyle in an easy, timely and cost-effective manner, offers the opportunity to collect grouped data useful to drive tailored WHP policies and to have metric to quantify results of interventions. This potentiality may help in creating effective programs and in improving employees' and companies' motivation and attitude towards a feasible WHP.
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Affiliation(s)
- Daniela Lucini
- BIOMETRA Department, University of Milan, 20129 Milan, Italy
- Exercise Medicine Unit, Istituto Auxologico Italiano IRCCS, 20135 Milan, Italy
- Correspondence: or ; Tel.: +39-02-619-112-808
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Costa A, Konieczna J, Reynés B, Martín M, Fiol M, Palou A, Romaguera D, Oliver P. CUN-BAE Index as a Screening Tool to Identify Increased Metabolic Risk in Apparently Healthy Normal-Weight Adults and Those with Obesity. J Nutr 2021; 151:2215-2225. [PMID: 33978191 DOI: 10.1093/jn/nxab117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 02/02/2021] [Accepted: 03/31/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Imbalanced dietary intake is related to increased adiposity, which is linked to increased metabolic risk even in the absence of obesity. BMI is traditionally used to classify body fatness and weight range, but it only considers body weight and height. The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) equation has appeared as an additional tool to estimate adiposity considering also other relevant parameters, i.e., sex and age. OBJECTIVES We aimed to determine whether the CUN-BAE index could estimate adiposity-related metabolic risk in apparently healthy, normoglycemic adults. METHODS In this case-control study, men and women (18-45 y old) were classified as normal-weight (NW) [n = 20; BMI (in kg/m2) <25] or overweight-obese (OW-OB) (n = 34; BMI ≥25). The primary outcome was body fat content and clinical circulating parameters to assess by correlation analysis CUN-BAE's usefulness as a predictor of metabolic risk. In addition, transcriptomic biomarkers of lipid metabolism were analyzed in peripheral blood mononuclear cells (PBMCs) as secondary outcome indicators of metabolic impairment. Data were analyzed by correlation analysis and comparison of means. RESULTS CUN-BAE values correlated directly with body fatness obtained by DXA (r = 0.89, P < 0.01), with classical molecular biomarkers of metabolic risk, and with PBMC gene expression of carnitine palmitoyltransferase 1A (CPT1A), sterol regulatory element binding transcription factor 1c (SREBP-1c), and fatty acid synthase (FASN), early markers of metabolic impairment (P < 0.05). Moreover, CUN-BAE allowed identification of NW individuals with excessive body fatness, who were not yet presenting obesity-related molecular alterations. In these subjects, visceral fat correlated directly with circulating glucose, triglycerides, and total and LDL cholesterol, and with triglyceride-glucose and fatty liver indexes (P < 0.05). This is indicative of a metabolically obese NW phenotype. CONCLUSIONS Data obtained in our cohort of young normoglycemic volunteers support the use of the CUN-BAE index as a tool to estimate accurately body fat mass, but also as a first easy/effective screening tool to identify lean people with increased fat mass and increased metabolic risk.This trial was registered at clinicaltrials.gov as NCT04402697.
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Affiliation(s)
- Andrea Costa
- Nutrigenomics and Obesity Group, University of the Balearic Islands, Palma, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - Jadwiga Konieczna
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), University Hospital Son Espases (HUSE), Palma, Spain
| | - Bàrbara Reynés
- Nutrigenomics and Obesity Group, University of the Balearic Islands, Palma, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - Marian Martín
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), University Hospital Son Espases (HUSE), Palma, Spain
| | - Miquel Fiol
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), University Hospital Son Espases (HUSE), Palma, Spain
| | - Andreu Palou
- Nutrigenomics and Obesity Group, University of the Balearic Islands, Palma, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - Dora Romaguera
- Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), University Hospital Son Espases (HUSE), Palma, Spain
| | - Paula Oliver
- Nutrigenomics and Obesity Group, University of the Balearic Islands, Palma, Spain.,Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain.,CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
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239
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De Matteis C, Cariello M, Graziano G, Battaglia S, Suppressa P, Piazzolla G, Sabbà C, Moschetta A. AST to Platelet Ratio Index (APRI) is an easy-to-use predictor score for cardiovascular risk in metabolic subjects. Sci Rep 2021; 11:14834. [PMID: 34290320 PMCID: PMC8295377 DOI: 10.1038/s41598-021-94277-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/05/2021] [Indexed: 02/06/2023] Open
Abstract
Visceral obesity is characterized by a low-grade inflammatory systemic state that contributes to the genesis of non-alcoholic fatty liver disease (NAFLD), frequently associated with liver fibrosis. Non-invasive serum markers have recently emerged as reliable, easy-to-use scores to predict liver fibrosis. NAFLD is often linked to metabolic and cardiovascular risk. Thus, in this cross-sectional study, we investigated in a population of 1225 subjects if AST to Platelet Ratio Index (APRI), one of the non-invasive liver fibrosis serum markers, can predict cardiovascular risk (CVR). APRI has been previously validated as an efficient score to predict liver fibrosis in viral hepatitis patients with a cut-off of 0.5 for fibrosis and 1.5 for cirrhosis. Our study showed that APRI significantly correlates with CVR and determines, when elevated, a significant increase in CVR for both genders, especially females. This spike in CVR, observed when APRI is elevated, is relatively high in patients in the age of 51–65 years, but it is significantly higher in younger and premenopausal women, approaching risk values usually typical of men at the same age. Taken together, our data highlighted the role of APRI as a reliable predictor easy-to-use score for CVR in metabolic patients.
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Affiliation(s)
- Carlo De Matteis
- INBB, National Institute for Biostructures and Biosystems, Viale delle Medaglie d'Oro 305, 00136, Rome, Italy
| | - Marica Cariello
- INBB, National Institute for Biostructures and Biosystems, Viale delle Medaglie d'Oro 305, 00136, Rome, Italy
| | - Giusi Graziano
- INBB, National Institute for Biostructures and Biosystems, Viale delle Medaglie d'Oro 305, 00136, Rome, Italy
| | - Stefano Battaglia
- Clinica Medica "Cesare Frugoni", Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.,Depatment of Tissues and Organs Transplantation and Cellular Therapies, "Aldo Moro" University of Bari, Bari, Italy
| | - Patrizia Suppressa
- Clinica Medica "Cesare Frugoni", Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Giuseppina Piazzolla
- Clinica Medica "Cesare Frugoni", Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Carlo Sabbà
- Clinica Medica "Cesare Frugoni", Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy
| | - Antonio Moschetta
- INBB, National Institute for Biostructures and Biosystems, Viale delle Medaglie d'Oro 305, 00136, Rome, Italy. .,Clinica Medica "Cesare Frugoni", Department of Interdisciplinary Medicine, Aldo Moro University of Bari, Piazza Giulio Cesare 11, 70124, Bari, Italy.
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Impact of Body Composition Indices on Ten-year Mortality After Revascularization of Complex Coronary Artery Disease (From the Syntax Extended Survival Trial). Am J Cardiol 2021; 151:30-38. [PMID: 34049676 DOI: 10.1016/j.amjcard.2021.04.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/02/2021] [Accepted: 04/06/2021] [Indexed: 12/22/2022]
Abstract
Numerous studies have demonstrated a paradoxical association between higher baseline body mass index (BMI) and lower long-term mortality risk after coronary revascularization, known as the "obesity paradox", possibly relying on the single use of BMI. The current study is a post-hoc analysis of the SYNTAX Extended Survival (SYNTAXES) trial, which is the extended follow-up of the SYNTAX trial comparing percutaneous coronary intervention (PCI) versus coronary artery bypass graft (CABG) in patients with left-main coronary artery disease (LMCAD) or three-vessel disease (3VD). Patients were stratified according to baseline BMI and/or waist circumference (WC). Out of 1,800 patients, 1,799 (99.9%) and 1,587 (88.2%) had available baseline BMI and WC data, respectively. Of those, 1,327 (73.8%) patients had High BMI (≥25 kg/m2), whereas 705 (44.4%) patients had High WC (>102 cm for men or >88 cm for women). When stratified by both BMI and WC, 10-year mortality risk was significantly higher in patients with Low BMI/Low WC (adjusted hazard ratio [HR]: 1.65; 95% confidence interval [CI]: 1.09 to 2.51), Low BMI/ High WC (adjusted HR: 2.74; 95% CI: 1.12 to 6.69), or High BMI/High WC (adjusted HR: 1.59; 95% CI: 1.11 to 2.27) compared to those with High BMI/Low WC. In conclusion, the "obesity paradox" following coronary revascularization would be driven by low long-term mortality risk of the High BMI/Low WC group. Body composition should be assessed by the combination of BMI and WC in the appropriate evaluation of the long-term risk of obesity in patients with LMCAD or 3VD.
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241
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Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT. Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Front Psychol 2021; 12:631179. [PMID: 34305707 PMCID: PMC8299753 DOI: 10.3389/fpsyg.2021.631179] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 06/07/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.
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Affiliation(s)
- Paola Piqueras
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Alfredo Ballester
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Juan V. Durá-Gil
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Sergio Martinez-Hervas
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Josep Redón
- Department of Internal Medicine, Hospital Clínico de Valencia, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Renal Risk Research Group, Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), University of Valencia, Valencia, Spain
| | - José T. Real
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
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242
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Cisse K, Samadoulougou S, Ouedraogo M, Kouanda S, Kirakoya-Samadoulougou F. Prevalence of abdominal obesity and its association with cardiovascular risk among the adult population in Burkina Faso: findings from a nationwide cross-sectional study. BMJ Open 2021; 11:e049496. [PMID: 34230021 PMCID: PMC8261883 DOI: 10.1136/bmjopen-2021-049496] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE The objective of this study is to determine the prevalence of abdominal obesity, its predictors and its association with cardiovascular risk among adults in Burkina Faso. DESIGN We performed a secondary analysis of data from a national cross-sectional study, using WHO STEPwise approach. SETTING The study was conducted in Burkina Faso, in all the 13 regions of the country. PARTICIPANTS Our study involved 4308 adults of both sexes, aged between 25 and 64 years. PRIMARY AND SECONDARY OUTCOMES Our primary outcome was abdominal obesity, which was defined using a cut-off point of waist circumference (WC) of ≥94 cm for men and ≥80 cm for women. The secondary outcome was very high WC (≥102 cm for men and ≥88 cm for women) (for whom weight management is required). RESULTS The mean age of participants was 38.5±11.1 years. The age-standardised prevalence of abdominal obesity was 22.5% (95% CI 21.3% to 23.7%). This prevalence was 35.9% (95% CI 33.9% to 37.9%) among women and 5.2% (95% CI 4.3% to 6.2%) among men. In urban areas, the age-standardised prevalence of abdominal obesity was 42.8% (95% CI 39.9% to 45.7%) and 17.0% (95% CI 15.7% to 18.2%) in rural areas. The age-standardised prevalence of very high WC was 10.2% (95% CI 9.3% to 11.1%). The main predictors of abdominal obesity were being female, increased age, married status, high level of education and living in urban areas. Abdominal obesity was also significantly associated with high blood pressure (adjusted prevalence ratio (aPR): 1.30; 95% CI 1.14 to 1.47) and hypercholesterolaemia (aPR: 1.52; 95% CI 1.18 to 1.94). According to the combination matrix between body mass index and WC, 14.6% of the adult population in Burkina Faso had an increased cardiometabolic risk. CONCLUSION Our study showed a high prevalence of abdominal obesity and a high proportion of adults who require weight management strategies to prevent cardiometabolic complications. Strategies to reduce the burden of abdominal obesity and very high WC should be considered by Burkina Faso's policy-makers.
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Affiliation(s)
- Kadari Cisse
- Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Bruxelles, Belgium
- Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Kadiogo, Burkina Faso
| | - Sékou Samadoulougou
- Evaluation Platform on Obesity Prevention, Heart and Lung Institute Research Centre, Quebec, Québec, Canada
| | - Mady Ouedraogo
- Institut National de la Statistique et de la Démographie, Ouagadougou, Kadiogo, Burkina Faso
| | - Seni Kouanda
- Departement Biomédical et Santé Publique, Institut de Recherche en Sciences de la Santé, Ouagadougou, Kadiogo, Burkina Faso
- Institut Africain de Santé Publique, Ouagadougou, Kadiogo, Burkina Faso
| | - Fati Kirakoya-Samadoulougou
- Centre de Recherche en Epidémiologie, Biostatistiques et Recherche Clinique, Ecole de Santé Publique, Université Libre de Bruxelles, Bruxelles, Belgium
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243
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Nono Nankam PA, Blüher M. Retinol-binding protein 4 in obesity and metabolic dysfunctions. Mol Cell Endocrinol 2021; 531:111312. [PMID: 33957191 DOI: 10.1016/j.mce.2021.111312] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/28/2021] [Accepted: 04/29/2021] [Indexed: 12/11/2022]
Abstract
Excessive increased adipose tissue mass in obesity is associated with numerous co-morbid disorders including increased risk of type 2 diabetes, fatty liver disease, hypertension, dyslipidemia, cardiovascular diseases, dementia, airway disease and some cancers. The causal mechanisms explaining these associations are not fully understood. Adipose tissue is an active endocrine organ that secretes many adipokines, cytokines and releases metabolites. These biomolecules referred to as adipocytokines play a significant role in the regulation of whole-body energy homeostasis and metabolism by influencing and altering target tissues function. Understanding the mechanisms of adipocytokine actions represents a hot topic in obesity research. Among several secreted bioactive signalling molecules from adipose tissue and liver, retinol-binding protein 4 (RBP4) has been associated with systemic insulin resistance, dyslipidemia, type 2 diabetes and other metabolic diseases. Here, we aim to review and discuss the current knowledge on RBP4 with a focus on its role in the pathogenesis of obesity comorbid diseases.
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Affiliation(s)
- Pamela A Nono Nankam
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Germany.
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Germany; Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Germany
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244
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Crudele L, Piccinin E, Moschetta A. Visceral Adiposity and Cancer: Role in Pathogenesis and Prognosis. Nutrients 2021; 13:2101. [PMID: 34205356 PMCID: PMC8234141 DOI: 10.3390/nu13062101] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 12/11/2022] Open
Abstract
The prevalence of being overweight and obese has been expanded dramatically in recent years worldwide. Obesity usually occurs when the energetic introit overtakes energy expenditure from metabolic and physical activity, leading to fat accumulation mainly in the visceral depots. Excessive fat accumulation represents a risk factor for many chronic diseases, including cancer. Adiposity, chronic low-grade inflammation, and hyperinsulinemia are essential factors of obesity that also play a crucial role in tumor onset. In recent years, several strategies have been pointed toward boundary fat accumulation, thus limiting the burden of cancer attributable to obesity. While remodeling fat via adipocytes browning seems a tempting prospect, lifestyle interventions still represent the main pathway to prevent cancer and enhance the efficacy of treatments. Specifically, the Mediterranean Diet stands out as one of the best dietary approaches to curtail visceral adiposity and, therefore, cancer risk. In this Review, the close relationship between obesity and cancer has been investigated, highlighting the biological mechanisms at the basis of this link. Finally, strategies to remodel fat, including browning and lifestyle interventions, have been taken into consideration as a major perspective to limit excess body weight and tumor onset.
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Affiliation(s)
- Lucilla Crudele
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (L.C.); (E.P.)
- Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Elena Piccinin
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (L.C.); (E.P.)
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Antonio Moschetta
- Department of Interdisciplinary Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (L.C.); (E.P.)
- INBB, National Institute for Biostructures and Biosystems, 00136 Rome, Italy
- National Cancer Center, IRCCS Istituto Tumori Giovanni Paolo II, 70124 Bari, Italy
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245
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Zeng Q, Li N, Pan XF, Chen L, Pan A. Clinical management and treatment of obesity in China. Lancet Diabetes Endocrinol 2021; 9:393-405. [PMID: 34022157 DOI: 10.1016/s2213-8587(21)00047-4] [Citation(s) in RCA: 124] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 02/03/2021] [Accepted: 02/12/2021] [Indexed: 02/08/2023]
Abstract
China has one of the largest populations with obesity in the world, and obesity has become a major challenge for the country's health-care system. Current guidelines for obesity management are not adequately supported by evidence from clinical studies in Chinese populations. Effective lifestyle interventions suitable for Chinese populations are scarce, insufficient weight-loss medications have been approved by regulatory bodies, and there is low acceptance of non-lifestyle interventions (ie, medications and surgery) among both health-care providers and the general public. Large, well designed, and well implemented clinical trials are needed to strengthen the evidence base for the clinical management of obesity in China. Obesity management can be improved through use of a tiered system involving health management centres, integrated lifestyle interventions and medical treatments, strengthened obesity education and training, and use of advanced electronic health technologies. Resource mobilisation, support from major stakeholders for people with overweight or obesity, and education and changes to social norms among the wider public are also needed. National health policies should prioritise both obesity prevention and improvement of the treatment and management of obesity.
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Affiliation(s)
- Qiang Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Naishi Li
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiong-Fei Pan
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lulu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China.
| | - An Pan
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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246
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Xu Q, Zhang SS, Wang RR, Weng YJ, Cui X, Wei XT, Ni JJ, Ren HG, Zhang L, Pei YF. Mendelian Randomization Analysis Reveals Causal Effects of the Human Gut Microbiota on Abdominal Obesity. J Nutr 2021; 151:1401-1406. [PMID: 33768223 DOI: 10.1093/jn/nxab025] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 10/20/2020] [Accepted: 01/26/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Although recent studies have revealed an association between the composition of the gut microbiota and obesity, whether specific gut microbiota cause obesity has not been determined. OBJECTIVES The aim of this study is to determine the causal relationship between specific gut microbiota and abdominal obesity. Based on genome-wide association study (GWAS) summary statistics, we performed a 2-sample Mendelian randomization (MR) analysis to evaluate whether the gut microbiota affects abdominal obesity. METHODS Gut microbiota GWAS in 1126 twin pairs (age range, 18-89 years; 89% were females) from the TwinsUK study were used as exposure data. The primary outcome tested was trunk fat mass (TFM) GWAS in 492,805 participants (age range, 40-69 years; 54% were females) from the UK Biobank. The gut microbiota were classified at family, genus, and species levels. A feature was defined as a distinct family, genus, or species. MR analysis was mainly performed by an inverse variance-weighted test or Wald ratio test, depending on the number of instrumental variables (IVs) involved. A sensitivity analysis was performed on significant results by a weighted median test and a weighted genetic risk score (GRS) analysis. RESULTS Results of MR analyses provided evidence of a causal association between 3 microbiota features and TFM, including 1 family [Lachnosiraceae; P = 0.02; β = 0.001 (SEE, 4.28 × 10-4)], 1 genus [Bifidobacterium; P = 5.0 × 10-9; β = -0.08 (SEE, 0.14)], and 1 species [Prausnitzii; P = 0.03; β = -0.007 (SEE, 0.003)]. Both the weighted median test and GRS analysis successfully validated the association of the genetically predicted family, Lachnosiraceae (Pweighted median = 0.03; PGRS = 0.004). CONCLUSIONS Our findings provided evidence of a causal association between gut microbiota and TFM in UK adults and identified specific bacteria taxa that may regulate the fat metabolism, thus offering new direction for the treatment of obesity.
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Affiliation(s)
- Qian Xu
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China
| | - Shan-Shan Zhang
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China
| | - Rui-Rui Wang
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China
| | - Yu-Jing Weng
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China
| | - Xun Cui
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China
| | - Xin-Tong Wei
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China
| | - Jing-Jing Ni
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.,Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China
| | - Hai-Gang Ren
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.,Laboratory of Molecular Neuropathology, Department of Pharmacology, School of Pharmaceutical Sciences, Medical College, Soochow University, 215123, SuZhou, PR China
| | - Lei Zhang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China.,Center for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China
| | - Yu-Fang Pei
- Center of Translational Medicine, Taicang Affiliated Hospital of Soochow University, The First People's Hospital of Taicang, Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 215400, SuZhou, Jiangsu, PR China.,Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, 215123, SuZhou, Jiangsu, PR China
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247
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Brown JC, Yang S, Mire EF, Wu X, Miele L, Ochoa A, Zabaleta J, Katzmarzyk PT. Obesity and Cancer Risk in White and Black Adults: A Prospective Cohort Study. Obesity (Silver Spring) 2021; 29:960-965. [PMID: 34029447 PMCID: PMC8422242 DOI: 10.1002/oby.23163] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/27/2021] [Accepted: 02/22/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Anthropometric measures of obesity, including BMI and waist circumference (WC), do not quantify excess adiposity and metabolic abnormalities consistently across racial populations. This study tested the hypothesis that participant race modifies the association of anthropometric measures of obesity and cancer risk. METHODS This prospective cohort (The Pennington Center Longitudinal Study) included 18,296 adults, 6,405 (35.0%) male sex and 6,273 (34.3%) Black race. The primary exposures were BMI (weight in kilograms/height in meters squared) and WC (centimeters). The primary end point was the time from study enrollment to diagnosis of histologically confirmed invasive cancer. RESULTS During a median follow-up of 14.0 years (interquartile range: 9.8-19.0 years), invasive cancer occurred in 1,350 participants. Among men, race modified the association of BMI (Pinteraction = 0.02) and WC (Pinteraction = 0.01) with cancer incidence; compared with a BMI of 22 kg/m2 , a BMI of 35 kg/m2 in White men was associated with a hazard ratio of 1.83 (95% CI: 1.58-2.12), whereas in Black men, the hazard ratio was 0.89 (95% CI: 0.72-1.11). Among women, race did not modify the association of BMI (Pinteraction = 0.41) or WC (Pinteraction = 0.36) with cancer incidence. CONCLUSIONS In this diverse cohort of adults, participant race and sex modified the prognostic associations of anthropometric measures of obesity and cancer risk.
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Affiliation(s)
- Justin C. Brown
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Emily F. Mire
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
| | - Xiaocheng Wu
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
- Louisiana State University Health Science Center School of Public Health/Louisiana Tumor Registry, 2020 Gravier St, New Orleans, LA 70122, USA
| | - Lucio Miele
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Augusto Ochoa
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Jovanny Zabaleta
- LSU Health Sciences Center New Orleans School of Medicine, 1901 Perdido St, New Orleans, LA 70112
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, 533 Bolivar St, New Orleans, LA 70112, USA
| | - Peter T. Katzmarzyk
- Pennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA 70808, USA
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248
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Armas Rojas NB, Lacey B, Soni M, Charles S, Carter J, Varona-Pérez P, Burrett JA, Martínez MC, Lorenzo-Vázquez E, Constantén SB, Taylor H, Sherliker P, Rigau JMM, Ross S, Massa MS, López OJH, Islam N, Morales MÁM, Alomá IA, Estupiñan FA, González MD, Muñoz NR, Asencio MC, Díaz-Diaz O, Iglesias-Marichal I, Emberson J, Peto R, Lewington S. Body-mass index, blood pressure, diabetes and cardiovascular mortality in Cuba: prospective study of 146,556 participants. BMC Public Health 2021; 21:963. [PMID: 34039286 PMCID: PMC8157418 DOI: 10.1186/s12889-021-10911-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 04/26/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Cardiovascular disease accounts for about one-third of all premature deaths (ie, age < 70) in Cuba. Yet, the relevance of major risk factors, including systolic blood pressure (SBP), diabetes, and body-mass index (BMI), to cardiovascular mortality in this population remains unclear. METHODS In 1996-2002, 146,556 adults were recruited from the general population in five areas of Cuba. Participants were interviewed, measured (height, weight and blood pressure) and followed up by electronic linkage to national death registries until Jan 1, 2017; in 2006-08, 24,345 participants were resurveyed. After excluding all with missing data, cardiovascular disease at recruitment, and those who died in the first 5 years, Cox regression (adjusted for age, sex, education, smoking, alcohol and, where appropriate, BMI) was used to relate cardiovascular mortality rate ratios (RRs) at ages 35-79 years to SBP, diabetes and BMI; RR were corrected for regression dilution to give associations with long-term average (ie, 'usual') levels of SBP and BMI. RESULTS After exclusions, there were 125,939 participants (mean age 53 [SD12]; 55% women). Mean SBP was 124 mmHg (SD15), 5% had diabetes, and mean BMI was 24.2 kg/m2 (SD3.6); mean SBP and diabetes prevalence at recruitment were both strongly related to BMI. During follow-up, there were 4112 cardiovascular deaths (2032 ischaemic heart disease, 832 stroke, and 1248 other). Cardiovascular mortality was positively associated with SBP (>=120 mmHg), diabetes, and BMI (>=22.5 kg/m2): 20 mmHg higher usual SBP about doubled cardiovascular mortality (RR 2.02, 95%CI 1.88-2.18]), as did diabetes (2.15, 1.95-2.37), and 10 kg/m2 higher usual BMI (1.92, 1.64-2.25). RR were similar in men and in women. The association with BMI and cardiovascular mortality was almost completely attenuated following adjustment for the mediating effect of SBP. Elevated SBP (>=120 mmHg), diabetes and raised BMI (>=22.5 kg/m2) accounted for 27%, 14%, and 16% of cardiovascular deaths, respectively. CONCLUSIONS This large prospective study provides direct evidence for the effects of these major risk factors on cardiovascular mortality in Cuba. Despite comparatively low levels of these risk factors by international standards, the strength of their association with cardiovascular death means they nevertheless exert a substantial impact on premature mortality in Cuba.
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Affiliation(s)
| | - Ben Lacey
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Monica Soni
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- Georgetown University School of Medicine, Washington, D.C, USA
| | - Shaquille Charles
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jennifer Carter
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Patricia Varona-Pérez
- Institute of Hygiene, Epidemiology and Microbiology, Ministry of Public Health, Havana, Cuba
| | - Julie Ann Burrett
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Marcy Calderón Martínez
- Institute of Hygiene, Epidemiology and Microbiology, Ministry of Public Health, Havana, Cuba
| | | | - Sonia Bess Constantén
- Directorate of Medical Records and Health Statistics, Ministry of Public Health, Havana, Cuba
| | - Hannah Taylor
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Paul Sherliker
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- MRC Population Health Research Unit, NDPH, University of Oxford, Oxford, UK
| | | | - Stephanie Ross
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - M Sofia Massa
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | | | - Nazrul Islam
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | | | - Ismell Alonso Alomá
- Directorate of Medical Records and Health Statistics, Ministry of Public Health, Havana, Cuba
| | | | - Mayda Díaz González
- Municipal Center of Hygiene, Epidemiology and Microbiology, Colón, Matanzas, Cuba
| | | | | | | | | | - Jonathan Emberson
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- MRC Population Health Research Unit, NDPH, University of Oxford, Oxford, UK
| | - Richard Peto
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Sarah Lewington
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK.
- MRC Population Health Research Unit, NDPH, University of Oxford, Oxford, UK.
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
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249
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Body Weight, BMI, Percent Fat and Associations with Mortality and Incident Mobility Limitation in Older Men. Geriatrics (Basel) 2021; 6:geriatrics6020053. [PMID: 34070000 PMCID: PMC8162350 DOI: 10.3390/geriatrics6020053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/07/2021] [Accepted: 05/13/2021] [Indexed: 11/25/2022] Open
Abstract
How different measures of adiposity are similarly or differentially related to mobility limitation and mortality is not clear. In total, 5849 community-dwelling men aged ≥65 years (mean age: 72 years) were followed mortality over 10 years and self-reported mobility limitations (any difficulty walking 2–3 blocks or with climbing 10 steps) at six contacts over 14 years. Baseline measures of adiposity included weight, BMI and percent fat by DXA. Appendicular lean mass (ALM, by DXA) was analyzed as ALM/ht2. Proportional hazards models estimated the risk of mortality, and repeated measures generalized estimating equations estimated the likelihood of mobility limitation. Over 10 years, 27.9% of men died; over 14 years, 48.0% of men reported at least one mobility limitation. We observed U-shaped relationships between weight, BMI, percent fat and ALM/ht2 with mortality. There was a clear log-linear relationship between weight, BMI and percent fat with incident mobility limitation, with higher values associated with a greater likelihood of mobility limitation. In contrast, there was a U-shaped relationship between ALM/ht2 and incident mobility limitation. These observational data suggest that no single measure of adiposity or body composition reflects both the lowest risk of mortality and the lowest likelihood for developing mobility limitation in older men.
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250
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Livne-Margolin M, Tokatly Latzer I, Pinhas-Hamiel O, Harari G, Achiron A. Bodyweight Measures and Lifestyle Habits in Individuals with Multiple Sclerosis and Moderate to Severe Disability. J Clin Med 2021; 10:2083. [PMID: 34066209 PMCID: PMC8151674 DOI: 10.3390/jcm10102083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 04/08/2021] [Accepted: 05/08/2021] [Indexed: 02/05/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic disease marked by progressive disability and decreased mobility over time. We studied whether individuals with MS of higher disability levels will be more overweight/obese as a result of their immobility and/or recurrent steroid treatments. In a prospective study, 130 individuals with MS and significant disability were classified according to the Expanded Disability Status Scale (EDSS) score as belonging to four groups: EDSS 3.0-4.0 (n = 31, 24%), EDSS 4.5-5.5 (n = 24, 18%), EDSS = 6.0 (n = 44, 34%) and EDSS ≥ 6.5 (n = 31, 24%). Medical history, body mass index (BMI), waist circumference and the level of engagement in physical activity were obtained. The mean ± standard error age was 55.8 ± 0.5 years, disease duration 18.2 ± 1.0 years and EDSS score 5.5 ± 0.1. Disease duration, the number of steroid courses per disease duration, weight, BMI and physical activity did not differ according to the four disability groups. The mean waist circumference increased significantly with increased severity of EDSS, p = 0.03. Increased disability in individuals with MS was not correlated with disease duration, lifestyle habits or overweight/obesity. However, increased disability was associated with central obesity.
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Affiliation(s)
- Moran Livne-Margolin
- Sackler School of Medicine, Tel-Aviv University, Ramat Aviv 69978, Israel; (M.L.-M.); (O.P.-H.); (A.A.)
- Gastroenterology Department, Sheba Medical Center, Tel Hashomer, Ramat Gan 52621, Israel
| | - Itay Tokatly Latzer
- Sackler School of Medicine, Tel-Aviv University, Ramat Aviv 69978, Israel; (M.L.-M.); (O.P.-H.); (A.A.)
- Pediatric Neurology Institute, Dana-Dwek Children’s Hospital, Tel Aviv Medical Center, Tel Aviv 60198, Israel
| | - Orit Pinhas-Hamiel
- Sackler School of Medicine, Tel-Aviv University, Ramat Aviv 69978, Israel; (M.L.-M.); (O.P.-H.); (A.A.)
- Pediatric Endocrinology and Diabetes Unit, Edmond and Lily Safra Children’s Hospital, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel
| | - Gil Harari
- School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa 3498838, Israel;
| | - Anat Achiron
- Sackler School of Medicine, Tel-Aviv University, Ramat Aviv 69978, Israel; (M.L.-M.); (O.P.-H.); (A.A.)
- Multiple Sclerosis Center, Sheba Medical Center, Tel-Hashomer, Ramat Gan 52621, Israel
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