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Miller PE, Gajjar P, Mitchell GF, Khan SS, Vasan RS, Larson MG, Lewis GD, Shah RV, Nayor M. Clusters of multidimensional exercise response patterns and estimated heart failure risk in the Framingham Heart Study. ESC Heart Fail 2024. [PMID: 38943268 DOI: 10.1002/ehf2.14797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 02/28/2024] [Accepted: 03/21/2024] [Indexed: 07/01/2024] Open
Abstract
AIMS New tools are needed to identify heart failure (HF) risk earlier in its course. We evaluated the association of multidimensional cardiopulmonary exercise testing (CPET) phenotypes with subclinical risk markers and predicted long-term HF risk in a large community-based cohort. METHODS AND RESULTS We studied 2532 Framingham Heart Study participants [age 53 ± 9 years, 52% women, body mass index (BMI) 28.0 ± 5.3 kg/m2, peak oxygen uptake (VO2) 21.1 ± 5.9 kg/m2 in women, 26.4 ± 6.7 kg/m2 in men] who underwent maximum effort CPET and were not taking atrioventricular nodal blocking agents. Higher peak VO2 was associated with a lower estimated HF risk score (Spearman correlation r: -0.60 in men and -0.55 in women, P < 0.0001), with an observed overlap of estimated risk across peak VO2 categories. Hierarchical clustering of 26 separate CPET phenotypes (values residualized on age, sex, and BMI to provide uniformity across these variables) identified three clusters with distinct exercise physiologies: Cluster 1-impaired oxygen kinetics; Cluster 2-impaired vascular; and Cluster 3-favourable exercise response. These clusters were similar in age, sex distribution, and BMI but displayed distinct associations with relevant subclinical phenotypes [Cluster 1-higher subcutaneous and visceral fat and lower pulmonary function; Cluster 2-higher carotid-femoral pulse wave velocity (CFPWV); and Cluster 3-lower CFPWV, C-reactive protein, fat volumes, and higher lung function; all false discovery rate < 5%]. Cluster membership provided incremental variance explained (adjusted R2 increment of 0.10 in women and men, P < 0.0001 for both) when compared with peak VO2 alone in association with predicted HF risk. CONCLUSIONS Integrated CPET response patterns identify physiologically relevant profiles with distinct associations to subclinical phenotypes that are largely independent of standard risk factor-based assessment, which may suggest alternate pathways for prevention.
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Affiliation(s)
- Patricia E Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Priya Gajjar
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Sadiya S Khan
- Division of Cardiology, Department of Medicine and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ramachandran S Vasan
- Boston University's and NHLBI's Framingham Heart Study, Framingham, MA, USA
- University of Texas School of Public Health San Antonio, San Antonio, TX, USA
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
- Department of Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University's and NHLBI's Framingham Heart Study, Framingham, MA, USA
| | - Gregory D Lewis
- Division of Cardiology, Cardiovascular Research Center, and Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ravi V Shah
- Division of Cardiology, Vanderbilt Translational and Clinical Research Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University's and NHLBI's Framingham Heart Study, Framingham, MA, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Suite L-516, Boston, MA, 02118, USA
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Mohammedsaeed W, El Shikieri AB. Cardiometabolic Risk Factors among Women with Eating Disorders in Saudi Arabia. J Nutr Metab 2024; 2024:5953893. [PMID: 38867850 PMCID: PMC11168801 DOI: 10.1155/2024/5953893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 06/14/2024] Open
Abstract
Objective To assess selected cardiometabolic risk factors among Saudi women with eating disorders. Methods An epidemiological, cross-sectional study included women aged between 18 and 50 years with eating disorders (EDs). Women with chronic diseases, pregnant, or lactating were excluded. The weight and height were measured for the calculation of the body mass index (BMI). Fasting blood samples were drawn for the analysis of blood sugar, glycated haemoglobin, lipid profile, albumin, haemoglobin, and C-reactive levels. The atherogenic dyslipidemia index (AIP) was also calculated. Results Patients (n = 100) were enrolled. Fasting blood glucose levels were critically low among women with anorexia nervosa (AN) and bulimia nervosa (BN) but normal among those with binge eating disorders (BEDs). All women with ED suffered from anaemia based on their haemoglobin levels as well as dyslipidemia, hypoalbuminaemia, and high C-reactive protein levels. Women with AN had low cardiovascular (CV) risks based on their normal AIP values. However, women with BN and BED had intermediate CV risks. On average, women with AN suffered from severe thinness and those with BN had normal BMIs, whereas those with BED were overweight. Women (90%) with BN and BED were overweight and/or obese. Conclusion Women with ED had a high risk of cardiovascular diseases defined by their hypoalbuminaemia, dyslipidemia, anaemia, and high AIP levels. Dietitians and psychiatrists are advised to collaborate in assessing the potential risk of having eating disorders to provide counselling sessions to women on healthy balanced diets and their effect on health.
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Affiliation(s)
- Walaa Mohammedsaeed
- Department of Clinical Laboratory Sciences, Faculty of Applied Medical Science at Taibah University, Madinah, Saudi Arabia
| | - Ahlam B. El Shikieri
- Department of Clinical Nutrition, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia
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Ravichandran S, Gajjar P, Walker ME, Prescott B, Tsao CW, Jha M, Rao P, Miller P, Larson MG, Vasan RS, Shah RV, Xanthakis V, Lewis GD, Nayor M. Life's Essential 8 Cardiovascular Health Score and Cardiorespiratory Fitness in the Community. J Am Heart Assoc 2024; 13:e032944. [PMID: 38700001 PMCID: PMC11179926 DOI: 10.1161/jaha.123.032944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 02/14/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND The relation of cardiorespiratory fitness (CRF) to lifestyle behaviors and factors linked with cardiovascular health remains unclear. We aimed to understand how the American Heart Association's Life's Essential 8 (LE8) score (and its changes over time) relate to CRF and complementary exercise measures in community-dwelling adults. METHODS AND RESULTS Framingham Heart Study (FHS) participants underwent maximum effort cardiopulmonary exercise testing for direct quantification of peak oxygen uptake (V̇O2). A 100-point LE8 score was constructed as the average across 8 factors: diet, physical activity, nicotine exposure, sleep, body mass index, lipids, blood glucose, and blood pressure. We related total LE8 score, score components, and change in LE8 score over 8 years with peak V̇O2 (log-transformed) and complementary CRF measures. In age- and sex-adjusted linear models (N=1838, age 54±9 years, 54% women, LE8 score 76±12), a higher LE8 score was associated favorably with peak V̇O2, ventilatory efficiency, resting heart rate, and blood pressure response to exercise (all P<0.0001). A clinically meaningful 5-point higher LE8 score was associated with a 6.0% greater peak V̇O2 (≈1.4 mL/kg per minute at sample mean). All LE8 components were significantly associated with peak V̇O2 in models adjusted for age and sex, but blood lipids, diet, and sleep health were no longer statistically significant after adjustment for all LE8 components. Over an ≈8-year interval, a 5-unit increase in LE8 score was associated with a 3.7% higher peak V̇O2 (P<0.0001). CONCLUSIONS Higher LE8 score and improvement in LE8 over time was associated with greater CRF, highlighting the importance of the LE8 factors in maintaining CRF.
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Affiliation(s)
| | - Priya Gajjar
- Section of Cardiovascular Medicine, Department of MedicineBoston University School of MedicineMAUSA
| | - Maura E. Walker
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Department of Health Sciences, Sargent College of Health and Rehabilitation SciencesBoston UniversityBostonMAUSA
| | - Brenton Prescott
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
| | - Connie W. Tsao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Mawra Jha
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Prashant Rao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA
| | - Patricia Miller
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Martin G. Larson
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Ramachandran S. Vasan
- Framingham Heart StudyFraminghamMAUSA
- University of Texas School of Public HealthSan AntonioTXUSA
- Departments of Medicine and Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTNUSA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
| | - Gregory D. Lewis
- Cardiology Division, Cardiovascular Research Center and Pulmonary Critical Care Unit, Department of MedicineMassachusetts General HospitalBostonMAUSA
| | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of MedicineBoston University School of MedicineMAUSA
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMAUSA
- Framingham Heart StudyFraminghamMAUSA
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Eichen DM, Strong DR, Twamley EW, Boutelle KN. Adding executive function training to cognitive behavioral therapy for binge eating disorder: A pilot randomized controlled trial. Eat Behav 2023; 51:101806. [PMID: 37660487 PMCID: PMC10840715 DOI: 10.1016/j.eatbeh.2023.101806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 08/04/2023] [Accepted: 08/28/2023] [Indexed: 09/05/2023]
Abstract
Evidence-based treatments for binge eating disorder (BED), such as cognitive behavioral therapy (CBT) lead to successful outcomes only about half the time. Individuals with BED often have measurable deficits in executive function (EF) that may challenge adherence to or impact of cognitive behavioral intervention components. The aim of this study was to evaluate the impact of adding EF training to CBT by combining CBT with a compensatory cognitive training approach (EF-CBT). Participants were 32 adults with BED, overweight/obesity, and comorbid anxiety or depression who were randomly assigned to four months of group treatment in either standard CBT or EF-CBT. Outcomes were assessed at baseline, post-treatment, and at 2-month follow-up. Results showed that EF-CBT was feasible and acceptable, comparable to CBT. Both groups significantly decreased loss of control (LOC) days, clinical impairment, and depression at post-treatment and 2-month follow-up; though there were no differences between groups. Neither group significantly reduced anxiety or weight. Exploratory analyses found that participants with lower EF treated with EF-CBT were less likely to have LOC at post-treatment than those with lower EF treated with CBT. Higher self-monitoring rates during treatment were associated with lower LOC at post-treatment and participants with lower EF were more likely to self-monitor in the EF-CBT arm relative to the CBT arm. These findings suggest that EF-CBT is feasible, acceptable and efficacious, although larger scale research is needed. EF-CBT may be particularly suited for individuals with BED who have lower EF.
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Affiliation(s)
- Dawn M Eichen
- University of California San Diego, Department of Pediatrics, 9500 Gilman Drive, La Jolla, CA 92093, USA.
| | - David R Strong
- University of California San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Elizabeth W Twamley
- University of California San Diego, Department of Psychiatry, 9500 Gilman Drive, La Jolla, CA 92093, USA; Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA 92161, USA
| | - Kerri N Boutelle
- University of California San Diego, Department of Pediatrics, 9500 Gilman Drive, La Jolla, CA 92093, USA; University of California San Diego, Herbert Wertheim School of Public Health and Human Longevity Science, 9500 Gilman Drive, La Jolla, CA 92093, USA; University of California San Diego, Department of Psychiatry, 9500 Gilman Drive, La Jolla, CA 92093, USA
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Nayor M, Gajjar P, Miller P, Murthy VL, Shah RV, Houstis NE, Velagaleti RS, Larson MG, Vasan RS, Lewis GD, Mitchell GF. Arterial Stiffness and Cardiorespiratory Fitness Impairment in the Community. J Am Heart Assoc 2023; 12:e029619. [PMID: 37850464 PMCID: PMC10727403 DOI: 10.1161/jaha.123.029619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/13/2023] [Indexed: 10/19/2023]
Abstract
Background During exercise, a healthy arterial system facilitates increased blood flow and distributes it effectively to essential organs. Accordingly, we sought to understand how arterial stiffening might impair cardiorespiratory fitness in community-dwelling individuals. Methods and Results Arterial tonometry and maximum effort cardiopulmonary exercise testing were performed on Framingham Heart Study participants (N=2898, age 54±9 years, 53% women, body mass index 28.1±5.3 kg/m2). We related 5 arterial stiffness measures (carotid-femoral pulse wave velocity [CFPWV]: a measure of aortic wall stiffness; central pulse pressure, forward wave amplitude, characteristic impedance: measures of pressure pulsatility; and augmentation index: a measure of relative wave reflection) to multidimensional exercise responses using linear models adjusted for age, sex, resting heart rate, habitual physical activity, and clinical risk factors. Greater CFPWV, augmentation index, and characteristic impedance were associated with lower peak oxygen uptake (VO2; all P<0.0001). We observed consistency of associations of CFPWV with peak oxygen uptake across age, sex, and cardiovascular risk profile (interaction P>0.05). However, the CFPWV-peak oxygen uptake relation was attenuated in individuals with obesity (P=0.002 for obesity*CFPWV interaction). Higher CPFWV, augmentation index, and characteristic impedance were also related to cardiopulmonary exercise testing measures reflecting adverse O2 kinetics and lower stroke volume and peripheral O2 extraction but not to ventilatory efficiency, a prognostic measure of right ventricular-pulmonary vascular performance. Conclusions Our findings delineate relations of arterial stiffness and cardiorespiratory fitness in community-dwelling individuals. Future studies are warranted to evaluate whether the physiological measures implicated here may represent potential targets for improving cardiorespiratory fitness in the general population.
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Affiliation(s)
- Matthew Nayor
- Cardiovascular Medicine Section, Department of MedicineBoston University School of MedicineBostonMAUSA
- Preventive Medicine and Epidemiology Section, Department of MedicineBoston University School of MedicineBostonMAUSA
- Boston University’s and NHLBI’s Framingham Heart StudyFraminghamMAUSA
| | - Priya Gajjar
- Cardiovascular Medicine Section, Department of MedicineBoston University School of MedicineBostonMAUSA
| | - Patricia Miller
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Venkatesh L. Murthy
- Division of Cardiovascular Medicine and Frankel Cardiovascular Center, Department of MedicineUniversity of MichiganAnn ArborMIUSA
| | - Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology DivisionVanderbilt University Medical CenterNashvilleTNUSA
| | - Nicholas E. Houstis
- Cardiology Division, Department of MedicineMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
| | - Raghava S. Velagaleti
- Boston University’s and NHLBI’s Framingham Heart StudyFraminghamMAUSA
- Cardiology Section, Department of MedicineBoston VA Healthcare SystemWest RoxburyMAUSA
| | - Martin G. Larson
- Boston University’s and NHLBI’s Framingham Heart StudyFraminghamMAUSA
- Department of BiostatisticsBoston University School of Public HealthBostonMAUSA
| | - Ramachandran S. Vasan
- Boston University’s and NHLBI’s Framingham Heart StudyFraminghamMAUSA
- University of Texas School of Public Health San AntonioUniversity of Texas Health Science CenterSan AntonioTXUSA
- Departments of Medicine and Population Health SciencesUniversity of Texas Health Science CenterSan AntonioTXUSA
| | - Gregory D. Lewis
- Cardiology Division, Department of MedicineMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
- Pulmonary Critical Care Unit, Department of MedicineMassachusetts General Hospital, Harvard Medical SchoolBostonMAUSA
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Mi MY, Gajjar P, Walker ME, Miller P, Xanthakis V, Murthy VL, Larson MG, Vasan RS, Shah RV, Lewis GD, Nayor M. Association of healthy dietary patterns and cardiorespiratory fitness in the community. Eur J Prev Cardiol 2023; 30:1450-1461. [PMID: 37164358 PMCID: PMC10562138 DOI: 10.1093/eurjpc/zwad113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/12/2023]
Abstract
AIMS To evaluate the associations of dietary indices and quantitative cardiorespiratory fitness (CRF) measures in a large, community-based sample harnessing metabolomic profiling to interrogate shared biology. METHODS AND RESULTS Framingham Heart Study (FHS) participants underwent maximum effort cardiopulmonary exercise tests for CRF quantification (via peak VO2) and completed semi-quantitative food frequency questionnaires. Dietary quality was assessed by the Alternative Healthy Eating Index (AHEI) and Mediterranean-style Diet Score (MDS), and fasting blood concentrations of 201 metabolites were quantified. In 2380 FHS participants (54 ± 9 years, 54% female, body mass index 28 ± 5 kg/m2), 1 SD higher AHEI and MDS were associated with 5.2% (1.2 mL/kg/min, 95% CI 4.3-6.0%, P < 0.0001) and 4.5% (1.0 mL/kg/min, 95% CI 3.6-5.3%, P < 0.0001) greater peak VO2 in linear models adjusted for age, sex, total daily energy intake, cardiovascular risk factors, and physical activity. In participants with metabolite profiling (N = 1154), 24 metabolites were concordantly associated with both dietary indices and peak VO2 in multivariable-adjusted linear models (FDR < 5%). Metabolites that were associated with lower CRF and poorer dietary quality included C6 and C7 carnitines, C16:0 ceramide, and dimethylguanidino valeric acid, and metabolites that were positively associated with higher CRF and favourable dietary quality included C38:7 phosphatidylcholine plasmalogen and C38:7 and C40:7 phosphatidylethanolamine plasmalogens. CONCLUSION Higher diet quality is associated with greater CRF cross-sectionally in a middle-aged community-dwelling sample, and metabolites highlight potential shared favourable effects on cardiometabolic health.
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Affiliation(s)
- Michael Y Mi
- Division of Cardiovascular Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Priya Gajjar
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
| | - Maura E Walker
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Department of Health Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA
| | - Patricia Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, 73 Mt. Wayte Avenue, Framingham, MA 01702, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Medicine, and Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, 73 Mt. Wayte Avenue, Framingham, MA 01702, USA
| | - Ramachandran S Vasan
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, 73 Mt. Wayte Avenue, Framingham, MA 01702, USA
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science Center, San Antonio, TX, USA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology Division, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gregory D Lewis
- Cardiology Division and Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Suite L-516, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, 73 Mt. Wayte Avenue, Framingham, MA 01702, USA
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Rania M, Caroleo M, Carbone EA, Ricchio M, Pelle MC, Zaffina I, Condoleo F, de Filippis R, Aloi M, De Fazio P, Arturi F, Segura-Garcia C. Reactive hypoglycemia in binge eating disorder, food addiction, and the comorbid phenotype: unravelling the metabolic drive to disordered eating behaviours. J Eat Disord 2023; 11:162. [PMID: 37726785 PMCID: PMC10507855 DOI: 10.1186/s40337-023-00891-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 09/12/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Impaired metabolic response such as blood glucose fast fluctuations may be hypothesized in binge eating disorder (BED) and food addiction (FA) by virtue of the repetitive consumption of highly processed food. Conversely, rapid changes in plasma glucose (i.e., hypoglycemia) may trigger craving for the same food products. The investigation of early glycemic disturbances in BED and FA could enhance the understanding of the metabolic mechanisms involved in the maintenance of the disorders. Present study investigated hypoglycemia events during a 5-h-long oral glucose tolerance test (OGTT) in people with BED, FA, and the comorbid phenotype. Further, the association between the severity of eating psychopathology and the variability in hypoglycaemia events was explored. METHODS Two-hundred participants with high weight and no diabetes completed the extended OGTT and were screened for BED, FA, BED-FA, or no-BED/FA. The four groups were compared in hypoglycemia events, OGTT-derived measures, and eating psychopathology. The association between predictors (eating psychopathology), confounders (demographics, metabolic features), and the outcomes (hypoglycemia, early/late hypoglycemia, severe hypoglycemia, reactive hypoglycemia) was examined through logistic regression. RESULTS Hypoglycemia in general, and reactive hypoglycemia were highly frequent (79% and 28% of the sample, respectively). Hypoglycemia events (< 70 mg/dL) were equally experienced among groups, whilst severe hypoglycemia (< 54 mg/dL) was more frequent in BED at the late stage of OGTT (5 h; χ2 = 1.120, p = .011). The FA and BED groups exhibited significantly higher number of reactive hypoglycemia (χ2 = 13.898, p = .003), in different times by diagnosis (FA: 210'-240'; BED: at the 270'). FA severity was the only predictor of early and reactive hypoglycemia. CONCLUSIONS People with BED or FA are prone to experiencing reactive hypoglycemia; FA severity may predict early and symptomatic hypoglycemia events. This can further reinforce disordered eating behaviours by promoting addictive responses, both biologically and behaviourally. These results inform professionals dealing with eating disorders about the need to refer patients for metabolic evaluation. On the other hand, clinicians dealing with obesity should screen for and address BED and FA in patients seeking care for weight loss.
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Affiliation(s)
- Marianna Rania
- Psychiatry Unit, Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy.
| | | | - Elvira Anna Carbone
- Psychiatry Unit, Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Marco Ricchio
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Internal Medicine Unit, Outpatient Unit for the Treatment of Obesity, University Hospital "Renato Dulbecco", Catanzaro, Italy
| | - Maria Chiara Pelle
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Internal Medicine Unit, Outpatient Unit for the Treatment of Obesity, University Hospital "Renato Dulbecco", Catanzaro, Italy
| | - Isabella Zaffina
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Internal Medicine Unit, Outpatient Unit for the Treatment of Obesity, University Hospital "Renato Dulbecco", Catanzaro, Italy
| | - Francesca Condoleo
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Internal Medicine Unit, Outpatient Unit for the Treatment of Obesity, University Hospital "Renato Dulbecco", Catanzaro, Italy
| | - Renato de Filippis
- Psychiatry Unit, Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy
- Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Matteo Aloi
- Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Pasquale De Fazio
- Psychiatry Unit, Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy
- Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Franco Arturi
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
- Internal Medicine Unit, Outpatient Unit for the Treatment of Obesity, University Hospital "Renato Dulbecco", Catanzaro, Italy
| | - Cristina Segura-Garcia
- Psychiatry Unit, Outpatient Unit for Clinical Research and Treatment of Eating Disorders, University Hospital Renato Dulbecco, Catanzaro, Italy
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
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8
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Bauman V, Sanchez N, Repke HE, Spinner H, Thorstad I, Gulley LD, Mains AM, Lavender JM, Thompson KA, Emerick JE, Thomas V, Arnold TB, Heroy A, Gutierrez-Colina AM, Haigney MC, Shomaker LB, Tanofsky-Kraff M. Loss of control eating in relation to blood pressure among adolescent girls with elevated anxiety at-risk for excess weight gain. Eat Behav 2023; 50:101773. [PMID: 37343482 DOI: 10.1016/j.eatbeh.2023.101773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/10/2023] [Accepted: 06/12/2023] [Indexed: 06/23/2023]
Abstract
Loss of control (LOC)-eating, excess weight, and anxiety are robustly linked, and are independently associated with markers of poorer cardiometabolic health, including hypertension. However, no study has examined whether frequency of LOC-eating episodes among youth with anxiety symptoms and elevated weight status may confer increased risk for hypertension. We examined the relationship between LOC-eating frequency and blood pressure among 39 adolescent girls (14.9 ± 1.8 years; body mass index [BMI] = 29.9 ± 5.6; 61.5 % White; 20.5 % African American/Black; 5 % Multiple Races; 2.5 % Asian; 12.8 % Hispanic/Latino; 30.8 % with reported LOC-eating) with elevated anxiety and above average BMI who enrolled in a clinical trial aimed at preventing excess weight gain. LOC-eating over the past three months was assessed via clinical interview, and blood pressure (systolic and diastolic) was measured with an automatic blood pressure monitor. Adjusting for age, fat mass, and height, LOC-eating episode frequency was significantly, positively associated with diastolic blood pressure (β = 0.38, p = 0.02), but not with systolic blood pressure (β = 0.13, p = 0.41). Replication studies, with larger sample sizes, participants of varying weight-strata, and prospective data are required to elucidate the relationship between LOC-eating and cardiovascular functioning in youth with elevated anxiety.
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Affiliation(s)
- Viviana Bauman
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Natalia Sanchez
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523, USA
| | - Hannah E Repke
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Holly Spinner
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Isabel Thorstad
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Lauren D Gulley
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523, USA; Department of Pediatrics, Section of Endocrinology, University of Colorado Anschutz and Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Autumn M Mains
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Jason M Lavender
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Katherine A Thompson
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Jill E Emerick
- Department of Pediatrics, Uniformed Services University, Bethesda, MD 20814, USA
| | - Victoria Thomas
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Thomas B Arnold
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Andrew Heroy
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; The Metis Foundation, San Antonio, TX 78216, USA
| | - Ana M Gutierrez-Colina
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523, USA; Department of Pediatrics, Section of Endocrinology, University of Colorado Anschutz and Children's Hospital Colorado, Aurora, CO 80045, USA
| | - Mark C Haigney
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA
| | - Lauren B Shomaker
- Department of Human Development and Family Studies, Colorado State University, Fort Collins, CO 80523, USA; Department of Pediatrics, Section of Endocrinology, University of Colorado Anschutz and Children's Hospital Colorado, Aurora, CO 80045, USA; Colorado School of Public Health, Aurora, CO 80045, USA
| | - Marian Tanofsky-Kraff
- Military Cardiovascular Outcomes Research (MiCOR) Program, Department of Medicine, Uniformed Services University, Bethesda, MD 20814, USA; Department of Medical and Clinical Psychology, Uniformed Services University, Bethesda, MD 20814, USA.
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9
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Mi MY, Gajjar P, Walker ME, Miller P, Xanthakis V, Murthy VL, Larson MG, Vasan RS, Shah RV, Lewis GD, Nayor M. Association of Healthy Dietary Patterns and Cardiorespiratory Fitness in the Community. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.09.23285714. [PMID: 36798343 PMCID: PMC9934801 DOI: 10.1101/2023.02.09.23285714] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Aims To evaluate the associations of dietary indices and quantitative CRF measures in a large, community-based sample harnessing metabolomic profiling to interrogate shared biology. Methods Framingham Heart Study (FHS) participants underwent maximum effort cardiopulmonary exercise tests for CRF quantification (via peak VO 2 ) and completed semi-quantitative FFQs. Dietary quality was assessed by the Alternative Healthy Eating Index (AHEI) and Mediterranean-style Diet Score (MDS), and fasting blood concentrations of 201 metabolites were quantified. Results In 2380 FHS participants (54±9 years, 54% female, BMI 28±5 kg/m 2 ), 1-SD higher AHEI and MDS were associated with 5.1% (1.2 ml/kg/min, p<0.0001) and 4.4% (1.0 ml/kg/min, p<0.0001) greater peak VO 2 in linear models adjusted for age, sex, total energy intake, cardiovascular risk factors, and physical activity. In participants with metabolite profiling (N=1154), 24 metabolites were concordantly associated with both dietary indices and peak VO 2 in multivariable-adjusted linear models (FDR<5%). These metabolites included C6 and C7 carnitines, C16:0 ceramide, and dimethylguanidino valeric acid, which were higher with lower CRF and poorer dietary quality and are known markers of insulin resistance and cardiovascular risk. Conversely, C38:7 phosphatidylcholine plasmalogen and C38:7 and C40:7 phosphatidylethanolamine plasmalogens were associated with higher CRF and favorable dietary quality and may link to lower cardiometabolic risk. Conclusion Higher diet quality is associated with greater CRF cross-sectionally in a middle-aged community-dwelling sample, and metabolites highlight potential shared favorable effects on health.
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10
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Zheng Y, Zhou Z, Wu T, Zhong K, Hu H, Zhang H, Sun R, Liu W. Association between composite lifestyle factors and cardiometabolic multimorbidity in Chongqing, China: A cross-sectional exploratory study in people over 45 years and older. Front Public Health 2023; 11:1118628. [PMID: 36817881 PMCID: PMC9929179 DOI: 10.3389/fpubh.2023.1118628] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/10/2023] [Indexed: 02/04/2023] Open
Abstract
Introduction Modifiable lifestyle factors are considered key to the control of cardiometabolic diseases. This study aimed to explore the association between multiple lifestyle factors and cardiometabolic multimorbidity. Methods A total of 14,968 participants were included in this cross-sectional exploratory study (mean age 54.33 years, range 45-91; 49.6% male). Pearson's Chi-square test, logistic regression, and latent class analysis were employed. Results We found that men with 4-5 high-risk lifestyle factors had a 2.54-fold higher risk (95% CI: 1.60-4.04) of developing multimorbidity compared to males with zero high-risk lifestyle factors. In an analysis of dietary behavior, we found that in women compared to men, over-eating (OR = 1.94, P < 0.001) and intra-meal water drinking (OR = 2.15, P < 0.001) were more likely to contribute to the development of cardiometabolic multimorbidity. In an analysis of taste preferences, men may be more sensitive to the effect of taste preferences and cardiometabolic multimorbidity risk, particularly for smoky (OR = 1.71, P < 0.001), hot (OR = 1.62, P < 0.001), and spicy (OR = 1.38, P < 0.001) tastes. Furthermore, "smoking and physical activity" and "physical activity and alcohol consumption" were men's most common high-risk lifestyle patterns. "Physical activity and dietary intake" were women's most common high-risk lifestyle patterns. A total of four common high-risk dietary behavior patterns were found in both males and females. Conclusions This research reveals that the likelihood of cardiometabolic multimorbidity increases as high-risk lifestyle factors accumulate. Taste preferences and unhealthy dietary behaviors were found to be associated with an increased risk of developing cardiometabolic multimorbidity and this association differed between genders. Several common lifestyle and dietary behavior patterns suggest that patients with cardiometabolic multimorbidity may achieve better health outcomes if those with certain high-risk lifestyle patterns are identified and managed.
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Affiliation(s)
- Yuanjie Zheng
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China
| | - Zhongqing Zhou
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China
| | - Tingting Wu
- Department of Food and Nutrition, College of Medical and Life Sciences, Silla University, Busan, South Korea,Chongqing College of Traditional Chinese Medicine, Chongqing, China
| | - Kailuo Zhong
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China
| | - Hailing Hu
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China
| | - Hengrui Zhang
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China
| | - Rong Sun
- Department of Physical Examination, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Weiwei Liu
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, China,Research Center for Public Health Security, Chongqing Medical University, Chongqing, China,Public Health Department, Chongqing Medical University, Chongqing, China,Chongqing College of Traditional Chinese Medicine, Chongqing, China,*Correspondence: Weiwei Liu ✉
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11
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Huisman SD, Hendrieckx C, Bot M, Pouwer F, Nefs G. Prevalence, associations and health outcomes of binge eating in adults with type 1 or type 2 diabetes: Results from Diabetes MILES - The Netherlands. Diabet Med 2023; 40:e14953. [PMID: 36084309 PMCID: PMC10087813 DOI: 10.1111/dme.14953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 08/24/2022] [Accepted: 08/29/2022] [Indexed: 11/27/2022]
Abstract
AIMS To examine the prevalence and health risks of binge eating in people with diabetes. METHODS Self-report data were analysed from a subsample (n = 582 type 1 diabetes/735 type 2 diabetes) of Diabetes MILES - the Netherlands, an online survey. Prevalence of binge eating was compared across diabetes type and treatment and between participants with and without binges for eating styles, diabetes treatment and outcomes, weight, BMI and psychological comorbidity. Associations between binge eating, HbA1c , BMI, diabetes distress were assessed using hierarchical linear regression analyses. RESULTS 23% (n = 308) of participants reported eating binges, with 16% at least monthly, and 6% at least weekly. Prevalence and frequency of binges did not differ across diabetes type or treatment. People reporting binges scored higher on dietary restraint, emotional and external eating and reported higher weight and BMI than those without binges. Only people with type 1 diabetes and eating binges had a higher HbA1c . Hierarchical regression analyses demonstrated that binge eating was independently associated with higher HbA1c (β = 0.12, p=0.001), BMI (β = 0.13, p < 0.001) but not with diabetes distress. CONCLUSIONS This study found binge eating to be associated with eating styles, BMI and HbA1c . However, our cross-sectional data do not allow for conclusions on causality. Future studies could further examine the directions of these associations and their clinical implications.
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Affiliation(s)
- Sasja D Huisman
- Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia
| | - Mariska Bot
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - François Pouwer
- School of Psychology, Deakin University, Geelong, Australia
- Department of Psychology, University of Southern Denmark, Odense, Denmark
- Steno Diabetes Center Odense, Odense, Denmark
| | - Giesje Nefs
- Department of Medical Psychology, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
- Department of Medical and Clinical Psychology, Tilburg University, Center of Research on Psychological and Somatic disorders (CoRPS), Tilburg, The Netherlands
- Diabeter, National Treatment and Research Center for Children, Adolescents and Adults with Type 1 Diabetes, Rotterdam, The Netherlands
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12
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Nayor M, Gajjar P, Murthy VL, Miller P, Velagaleti RS, Larson MG, Vasan RS, Lewis GD, Mitchell GF, Shah RV. Blood Pressure Responses During Exercise: Physiological Correlates and Clinical Implications. Arterioscler Thromb Vasc Biol 2023; 43:163-173. [PMID: 36384270 PMCID: PMC9780190 DOI: 10.1161/atvbaha.122.318512] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/08/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Abnormal blood pressure (BP) responses to exercise can predict adverse cardiovascular outcomes, but their optimal measurement and definitions are poorly understood. We combined frequently sampled BP during cardiopulmonary exercise testing with vascular stiffness assessment to parse cardiac and vascular components of exercise BP. METHODS Cardiopulmonary exercise testing with BP measured every two minutes and resting vascular tonometry were performed in 2858 Framingham Heart Study participants. Linear regression was used to analyze sex-specific exercise BP patterns as a function of arterial stiffness (carotid-femoral pulse wave velocity) and cardiac-peripheral performance (defined by peak O2 pulse). RESULTS Our sample was balanced by sex (52% women) with mean age 54±9 years and 47% with hypertension. We observed variability in carotid-femoral pulse wave velocity and peak O2 pulse across individuals with clinically defined exercise hypertension (peak systolic BP [SBP] in men ≥210 mm Hg; in women ≥190 mm Hg). Despite similar resting SBP and cardiometabolic profiles, individuals with higher peak O2 pulse displayed higher peak SBP (P≤0.017) alongside higher fitness levels (P<0.001), suggesting that high peak exercise SBP in the context of high peak O2 pulse may in fact be favorable. Although both higher (favorable) O2 pulse and higher (adverse) arterial stiffness were associated with greater peak SBP (P<0.0001 for both), the magnitude of association of carotid-femoral pulse wave velocity with peak SBP was higher in women (sex-carotid-femoral pulse wave velocity interaction P<0.0001). In sex-specific models, exercise SBP measures accounting for workload (eg, SBP during unloaded exercise, SBP at 75 watts, and SBP/workload slope) were directly associated with the adverse features of greater arterial stiffness and lower peak O2 pulse. CONCLUSIONS Higher peak exercise SBP reflects a complex trade-off between arterial stiffness and cardiac-peripheral performance that differs by sex. Studies of BP responses to exercise accounting for vascular and cardiac physiology may illuminate mechanisms of hypertension and clarify clinical interpretation of exercise BP.
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Affiliation(s)
- Matthew Nayor
- Cardiovascular Medicine Section, Department of Medicine, Boston University School of Medicine, Boston, MA
- Preventive Medicine and Epidemiology Section, Department of Medicine, Boston University School of Medicine, Boston, MA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
| | - Priya Gajjar
- Cardiovascular Medicine Section, Department of Medicine, Boston University School of Medicine, Boston, MA
| | - Venkatesh L. Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor
- Frankel Cardiovascular Center, University of Michigan, Ann Arbor
| | - Patricia Miller
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Raghava S. Velagaleti
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, Massachusetts
| | - Martin G. Larson
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Ramachandran S. Vasan
- Cardiovascular Medicine Section, Department of Medicine, Boston University School of Medicine, Boston, MA
- Preventive Medicine and Epidemiology Section, Department of Medicine, Boston University School of Medicine, Boston, MA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA
- University of Texas School of Public Health San Antonio, and Departments of Medicine and Population Health Sciences, University of Texas Health Science Center, San Antonio, TX
- Department of Epidemiology, Boston University School of Public Health, and the Center for Computing and Data Sciences, Boston University, Boston, MA
| | - Gregory D. Lewis
- Cardiology Division and Pulmonary Critical Care Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | | | - Ravi V. Shah
- Vanderbilt Translational and Clinical Research Center, Cardiology Division, Vanderbilt University Medical Center, Nashville, TN
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13
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Salvia MG, Ritholz MD, Craigen KLE, Quatromoni PA. Managing type 2 diabetes or prediabetes and binge eating disorder: a qualitative study of patients' perceptions and lived experiences. J Eat Disord 2022; 10:148. [PMID: 36221145 PMCID: PMC9554983 DOI: 10.1186/s40337-022-00666-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/13/2022] [Accepted: 09/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND The overlap in prevalence between type 2 diabetes and binge eating disorder is substantial, with adverse physical and mental health consequences. Little is known about patients' efforts at managing these two conditions simultaneously. The research objective was to explore patients' experiences managing co-existing type 2 diabetes or prediabetes and binge eating disorder. METHODS This is a qualitative descriptive study using semi-structured interviews. Participants included 21 women with type 2 diabetes or prediabetes (90% non-Hispanic White; mean age 49 ± 14.8 years, mean BMI 43.8 ± 8.4; 48% with type 2 diabetes and mean HbA1c was 8.4%). Interviews were analyzed using thematic analysis and NVivo software. RESULTS Qualitative analysis revealed that participants reported binge episodes frequently started in childhood or adolescence and went undiagnosed for decades; notably, they recalled that diabetes diagnosis preceded the binge eating disorder diagnosis. They also described trying to lose weight throughout their lives and how feelings of deprivation, shame, and failure exacerbated binge eating. Participants further reported how binge eating made diabetes self-care and outcomes worse. Finally, participants observed that when binge eating disorder treatment and diabetes management were synergistically integrated, they experienced improvements in both binge eating and glycemic outcomes. This integration included reframing negative thoughts surrounding binge eating disorder and diabetes self-management and increasing their understanding of how the two disorders were inter-related. CONCLUSION Findings highlight the importance of increasing healthcare providers' awareness of and screening for binge eating disorder in the treatment of diabetes and inform specific integrated interventions that address both diagnoses. From this study where we interviewed 21 women with binge eating disorder (BED) and type 2 diabetes/prediabetes, we learned how binge eating impacted diabetes management and how diabetes impacted BED. Most participants reported receiving the diabetes diagnosis before being diagnosed with BED despite the earlier onset of binge eating, pointing to the need for BED screening. Participants described trying to lose weight throughout their lives and reported feelings of failure and shame, which made binge eating worse. Binge eating made diabetes management harder, but when diabetes and BED treatment were aligned, participants experienced improvements in binge symptoms and diabetes outcomes.
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Affiliation(s)
- Meg G Salvia
- Department of Health Sciences, Boston University, 635 Commonwealth Avenue, 02215, Boston, MA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, 02115, Boston, MA, USA
| | - Marilyn D Ritholz
- Joslin Diabetes Center, 1 Joslin Place, 02215, Boston, MA, USA.,Department of Psychiatry, Harvard Medical School, 401 Park Drive, 02215, Boston, MA, USA
| | | | - Paula A Quatromoni
- Department of Health Sciences, Boston University, 635 Commonwealth Avenue, 02215, Boston, MA, USA. .,Walden Behavioral Care, 51 Sawyer Road, 02453, Waltham, MA, USA.
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14
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Shah RV, Miller P, Colangelo LA, Chernofsky A, Houstis NE, Malhotra R, Velagaleti RS, Jacobs DR, Gabriel KP, Reis JP, Lloyd‐Jones DM, Clish CB, Larson MG, Vasan RS, Murthy VL, Lewis GD, Nayor M. Blood-Based Fingerprint of Cardiorespiratory Fitness and Long-Term Health Outcomes in Young Adulthood. J Am Heart Assoc 2022; 11:e026670. [PMID: 36073631 PMCID: PMC9683648 DOI: 10.1161/jaha.122.026670] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 07/25/2022] [Indexed: 11/16/2022]
Abstract
Background Cardiorespiratory fitness is a powerful predictor of health outcomes that is currently underused in primary prevention, especially in young adults. We sought to develop a blood-based biomarker of cardiorespiratory fitness that is easily translatable across populations. Methods and Results Maximal effort cardiopulmonary exercise testing for quantification of cardiorespiratory fitness (by peak oxygen uptake) and profiling of >200 metabolites at rest were performed in the FHS (Framingham Heart Study; 2016-2019). A metabolomic fitness score was derived/validated in the FHS and was associated with long-term outcomes in the younger CARDIA (Coronary Artery Risk Development in Young Adults) study. In the FHS (derivation, N=451; validation, N=914; age 54±8 years, 53% women, body mass index 27.7±5.3 kg/m2), we used LASSO (least absolute shrinkage and selection operator) regression to develop a multimetabolite score to predict peak oxygen uptake (correlation with peak oxygen uptake r=0.77 in derivation, 0.61 in validation; both P<0.0001). In a linear model including clinical risk factors, a ≈1-SD higher metabolomic fitness score had equivalent magnitude of association with peak oxygen uptake as a 9.2-year age increment. In the CARDIA study (N=2300, median follow-up 26.9 years, age 32±4 years, 44% women, 44% Black individuals), a 1-SD higher metabolomic fitness score was associated with a 44% lower risk for mortality (hazard ratio [HR], 0.56 [95% CI, 0.47-0.68]; P<0.0001) and 32% lower risk for cardiovascular disease (HR, 0.68 [95% CI, 0.55-0.84]; P=0.0003) in models adjusted for age, sex, and race, which remained robust with adjustment for clinical risk factors. Conclusions A blood-based biomarker of cardiorespiratory fitness largely independent of traditional risk factors is associated with long-term risk of cardiovascular disease and mortality in young adults.
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Affiliation(s)
- Ravi V. Shah
- Vanderbilt Translational and Clinical Research CenterCardiology DivisionVanderbilt University Medical CenterNashvilleTN
| | - Patricia Miller
- Department of BiostatisticsBoston University School of Public HealthBostonMA
| | - Laura A. Colangelo
- Department of Preventive MedicineFeinberg School of MedicineNorthwestern UniversityChicagoIL
| | - Ariel Chernofsky
- Department of BiostatisticsBoston University School of Public HealthBostonMA
| | - Nicholas E. Houstis
- Cardiology DivisionDepartment of MedicineMassachusetts General HospitalHarvard Medical SchoolBostonMA
| | - Rajeev Malhotra
- Cardiology DivisionDepartment of MedicineMassachusetts General HospitalHarvard Medical SchoolBostonMA
| | | | - David R. Jacobs
- Division of Epidemiology and Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMN
| | | | - Jared P. Reis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood InstituteBethesdaMD
| | - Donald M. Lloyd‐Jones
- Department of Preventive MedicineFeinberg School of MedicineNorthwestern UniversityChicagoIL
- Division of CardiologyDepartment of MedicineNorthwestern University Feinberg School of MedicineChicagoIL
| | | | - Martin G. Larson
- Department of BiostatisticsBoston University School of Public HealthBostonMA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
| | - Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
- Sections of Cardiovascular Medicine and Preventive Medicine and EpidemiologyDepartment of MedicineBoston University School of MedicineBostonMA
- Department of EpidemiologyBoston University School of Public Health, and the Center for Computing and Data SciencesBoston UniversityBostonMA
| | - Venkatesh L. Murthy
- Department of EpidemiologyBoston University School of Public Health, and the Center for Computing and Data SciencesBoston UniversityBostonMA
- Division of Cardiovascular MedicineDepartment of Medicine, and Frankel Cardiovascular Center University of MichiganAnn ArborMI
| | - Gregory D. Lewis
- Cardiology DivisionDepartment of MedicineMassachusetts General HospitalHarvard Medical SchoolBostonMA
- Pulmonary Critical Care UnitMassachusetts General HospitalBostonMA
| | - Matthew Nayor
- Sections of Cardiovascular Medicine and Preventive Medicine and EpidemiologyDepartment of MedicineBoston University School of MedicineBostonMA
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15
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Zhou JC, Rifas-Shiman SL, Haines J, Jones K, Oken E. Adolescent overeating and binge eating behavior in relation to subsequent cardiometabolic risk outcomes: a prospective cohort study. J Eat Disord 2022; 10:140. [PMID: 36100924 PMCID: PMC9472357 DOI: 10.1186/s40337-022-00660-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/30/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Binge eating disorder is bidirectionally associated with obesity and with metabolic syndrome. It is less clear whether overeating and binge eating, or overeating with loss of control, also predicts metabolic risk, and if so, whether these associations are solely attributable to greater weight. The goal of this study was to examine longitudinal associations of overeating and binge eating behavior with cardiometabolic risk markers in adolescence. METHODS Adolescents (n = 619) in the Project Viva research study self-reported overeating and binge eating behavior in early adolescence (median 12.9 years, "baseline"). In late adolescence (median 17.4 years, "follow-up"), we assessed outcomes of adiposity and blood pressure, and in a subset of participants (n = 270-424), biomarkers of dyslipidemia, insulin resistance, liver dysfunction, inflammation, and adipokine homeostasis. We conducted multivariable linear regression analyses adjusted for socio-demographics and prenatal obesogenic exposures, and additionally for baseline body mass index (BMI) z-score. RESULTS At baseline, 58 (9%) participants reported overeating behavior, and of those, 24 (41%) had binge eating behavior (e.g., overeating accompanied by loss of control). In adjusted models, adolescents with overeating had higher adiposity at follow-up ~ 5 years later (e.g., % body fat 4.03; 95% confidence interval (CI) 1.76, 6.31) than those not reporting overeating behavior; additional adjustment for baseline BMI z-score attenuated associations generally except for % body fat (2.95; 95% CI 1.03, 4.87). Overeating behavior was also associated with higher inflammation and greater adipokine dysfunction, remaining positively associated with interleukin-6 (IL-6) (log-transformed β = 0.42 pg/mL; 95% CI 0.12, 0.73) and negatively with adiponectin (log-transformed β = -0.28 ug/mL; 95% CI - 0.47, - 0.08) even after adjusting for baseline BMI z-score. Overeating behavior was not consistently associated with other outcomes. Adolescents reporting binge eating behavior generally had the greatest adiposity, (e.g., % body fat 5.00; 95% CI 1.74, 8.25) as compared to those without overeating. CONCLUSIONS Adolescents reporting overeating and binge eating behavior had higher adiposity and poorer inflammatory and adipokine profiles, but no difference in other outcomes, than adolescents who did not endorse these behaviors. These associations were only partially accounted for by higher baseline BMI z-score. These differences may signal increased risk for future cardiovascular disease.
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Affiliation(s)
- Joyce C Zhou
- Harvard Medical School, 25 Shattuck St, Boston, MA, 02115, USA.,Department of Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA
| | - Jess Haines
- Department of Family Relations and Applied Nutrition, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
| | - Kathryn Jones
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 401 Park Drive, Suite 401 East, Boston, MA, 02215, USA. .,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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16
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McNeill J, Chernofsky A, Nayor M, Rahaghi FN, San Jose Estepar R, Washko G, Synn A, Vasan RS, O'Connor G, Larson MG, Ho JE, Lewis GD. The association of lung function and pulmonary vasculature volume with cardiorespiratory fitness in the community. Eur Respir J 2022; 60:2101821. [PMID: 34996832 PMCID: PMC9259762 DOI: 10.1183/13993003.01821-2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 12/06/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Cardiorespiratory fitness is not limited by pulmonary mechanical reasons in the majority of adults. However, the degree to which lung function contributes to exercise response patterns among ostensibly healthy individuals remains unclear. METHODS We examined 2314 Framingham Heart Study participants who underwent cardiopulmonary exercise testing (CPET) and pulmonary function testing. We investigated the association of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), FEV1/FVC and diffusing capacity of the lung for carbon monoxide (D LCO) with the primary outcome of peak oxygen uptake (V'O2 ) along with other CPET parameters using multivariable linear regression. Finally, we investigated the association of total and peripheral pulmonary blood vessel volume with peak V'O2 . RESULTS We found lower FEV1, FVC and D LCO were associated with lower peak V'O2 . For example, a 1 L lower FEV1 and FVC was associated with a 7.1% (95% CI 5.1-9.1%) and 6.0% (95% CI 4.3-7.7%) lower peak V'O2 , respectively. By contrast, FEV1/FVC was not associated with peak V'O2 . Lower lung function was associated with lower oxygen uptake efficiency slope, oxygen pulse slope, V'O2 at anaerobic threshold (AT), minute ventilation (V'E) at AT and breathing reserve. In addition, lower total and peripheral pulmonary blood vessel volume were associated with lower peak V'O2 . CONCLUSIONS In a large, community-based cohort of adults, we found lower FEV1, FVC and D LCO were associated with lower exercise capacity, as well as oxygen uptake efficiency slope and ventilatory efficiency. In addition, lower total and peripheral pulmonary blood vessel volume were associated with lower peak V'O2 . These findings underscore the importance of lung function and blood vessel volume as contributors to overall exercise capacity.
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Affiliation(s)
- Jenna McNeill
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- These four authors are co-authors
| | - Ariel Chernofsky
- Boston University and National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Biostatistics Dept, Boston University School of Public Health, Boston, MA, USA
- These four authors are co-authors
| | - Matthew Nayor
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Farbod N Rahaghi
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Raul San Jose Estepar
- Division of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - George Washko
- Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew Synn
- Division of Pulmonary and Critical Care Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ramachandran S Vasan
- Framingham Heart Study and Sections of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Boston University School of Medicine, and Dept of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - George O'Connor
- Framingham Heart Study and Sections of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Boston University School of Medicine, and Dept of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Martin G Larson
- Boston University and National Heart, Lung, and Blood Institute Framingham Heart Study, Framingham, MA, USA
- Biostatistics Dept, Boston University School of Public Health, Boston, MA, USA
| | - Jennifer E Ho
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- These four authors are co-authors
| | - Gregory D Lewis
- Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- These four authors are co-authors
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17
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Nayor M, Chernofsky A, Spartano NL, Tanguay M, Blodgett JB, Murthy VL, Malhotra R, Houstis NE, Velagaleti RS, Murabito JM, Larson MG, Vasan RS, Shah RV, Lewis GD. Physical activity and fitness in the community: the Framingham Heart Study. Eur Heart J 2021; 42:4565-4575. [PMID: 34436560 PMCID: PMC8633734 DOI: 10.1093/eurheartj/ehab580] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/14/2021] [Accepted: 08/10/2021] [Indexed: 12/21/2022] Open
Abstract
AIMS While greater physical activity (PA) is associated with improved health outcomes, the direct links between distinct components of PA, their changes over time, and cardiorespiratory fitness are incompletely understood. METHODS AND RESULTS Maximum effort cardiopulmonary exercise testing (CPET) and objective PA measures [sedentary time (SED), steps/day, and moderate-vigorous PA (MVPA)] via accelerometers worn for 1 week concurrent with CPET and 7.8 years prior were obtained in 2070 Framingham Heart Study participants [age 54 ± 9 years, 51% women, SED 810 ± 83 min/day, steps/day 7737 ± 3520, MVPA 22.3 ± 20.3 min/day, peak oxygen uptake (VO2) 23.6 ± 6.9 mL/kg/min]. Adjusted for clinical risk factors, increases in steps/day and MVPA and reduced SED between the two assessments were associated with distinct aspects of cardiorespiratory fitness (measured by VO2) during initiation, early-moderate level, peak exercise, and recovery, with the highest effect estimates for MVPA (false discovery rate <5% for all). Findings were largely consistent across categories of age, sex, obesity, and cardiovascular risk. Increases of 17 min of MVPA/day [95% confidence interval (CI) 14-21] or 4312 steps/day (95% CI 3439-5781; ≈54 min at 80 steps/min), or reductions of 249 min of SED per day (95% CI 149-777) between the two exam cycles corresponded to a 5% (1.2 mL/kg/min) higher peak VO2. Individuals with high (above-mean) steps or MVPA demonstrated above average peak VO2 values regardless of whether they had high or low SED. CONCLUSIONS Our findings provide a detailed assessment of relations of different types of PA with multidimensional cardiorespiratory fitness measures and suggest favourable longitudinal changes in PA (and MVPA in particular) are associated with greater objective fitness.
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Affiliation(s)
- Matthew Nayor
- Sections of Cardiology and Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord St, Suite L-514, Boston, MA 02118, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ariel Chernofsky
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Nicole L Spartano
- Department of Medicine, Section of Endocrinology, Diabetes, Nutrition and Weight Management, Boston University School of Medicine, Boston, MA, USA
| | - Melissa Tanguay
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jasmine B Blodgett
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA
- Frankel Cardiovascular Center, University of Michigan, Ann Arbor, MI, USA
| | - Rajeev Malhotra
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas E Houstis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Raghava S Velagaleti
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, MA, USA
| | - Joanne M Murabito
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
| | - Ramachandran S Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
- Sections of Preventive Medicine and Epidemiology, and Cardiology, Department of Medicine, Department of Epidemiology, Boston University Schools of Medicine and Public Health, Center for Computing and Data Sciences, Boston University, Boston, MA, USA
| | - Ravi V Shah
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Vanderbilt Clinical and Translational Research Center, Cardiology Division, Vanderbilt University Medical Center, Nashville, TN
| | - Gregory D Lewis
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston, MA USA
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18
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Solmi F, Moreno AB, Lewis G, Nunes MA, de Jesus Mendes da Fonseca M, Griep RH. Longitudinal association between binge eating and metabolic syndrome in adults: Findings from the ELSA-Brasil cohort. Acta Psychiatr Scand 2021; 144:464-474. [PMID: 34333757 PMCID: PMC7613243 DOI: 10.1111/acps.13356] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/05/2021] [Accepted: 07/12/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Individuals with bulimia nervosa and binge eating disorder have greater cardiovascular morbidity than the general population. Longitudinal research on the association between binge eating and metabolic syndrome is limited. We tested the longitudinal association between binge eating and metabolic syndrome and its components in a large population sample of Brazilian adults. METHODS We used data from Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, N = 15,105). To test for the association between binge eating at baseline (2008-2010) and metabolic syndrome at follow-up (2012-2014), we used univariable and multivariable logistic regression models progressively adjusting for potential socio-demographic confounders, number of metabolic syndrome components, and body mass index (BMI) at baseline. RESULTS In total, 13,388 participants (54.8% female; 52.2% white) had complete data on all variables of interest. Binge eating was associated with increased odds of metabolic syndrome at follow-up (odds ratio (OR):1.66, 95% confidence intervals (CI): 1.44, 1.75). However, the size of this association was attenuated after including number of metabolic syndrome components at baseline (OR:1.19, 95% CI: 1.05, 1.35) and was no longer present after adjusting for baseline BMI (OR:1.09, 95% CI: 0.96, 1.25). Binge eating was also associated with higher odds of hypertension (OR:1.14, 95% CI: 0.99, 1.37) and hypertriglyceridemia (OR:1.21, 95% CI: 1.06, 1.37) at the follow-up assessment after adjustment for all confounders. CONCLUSIONS Individuals who binge eat are at increased risk of metabolic syndrome via increased BMI, and of hypertriglyceridemia and hypertension independently of BMI. If these are causal associations, effective interventions for binge eating could also have beneficial effects on metabolic health outcomes.
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Affiliation(s)
- Francesca Solmi
- Division of Psychiatry, University College London, London, UK
| | - Arlinda B. Moreno
- Department of Epidemiology and Quantitative Methods in Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
| | - Maria Angélica Nunes
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Maria de Jesus Mendes da Fonseca
- Department of Epidemiology and Quantitative Methods in Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
| | - Rosane Harter Griep
- Laboratory of Health and Environment Education, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil
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19
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Nayor M, Shah RV, Tanguay M, Blodgett JB, Chernofsky A, Miller PE, Xanthakis V, Malhotra R, Houstis NE, Velagaleti RS, Larson MG, Vasan RS, Lewis GD. Feasibility, Methodology, and Interpretation of Broad-Scale Assessment of Cardiorespiratory Fitness in a Large Community-Based Sample. Am J Cardiol 2021; 157:56-63. [PMID: 34391575 DOI: 10.1016/j.amjcard.2021.07.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/01/2021] [Accepted: 07/01/2021] [Indexed: 11/26/2022]
Abstract
Cardiorespiratory fitness (CRF) is intricately related to health status. The optimal approach for CRF quantification is through assessment of peak oxygen uptake (VO2), but such measurements have been largely confined to small referral populations. Here we describe protocols and methodological considerations for peak VO2 assessment and determination of volitional effort in a large community-based sample. Maximum incremental ramp cycle ergometry cardiopulmonary exercise testing (CPET) was performed by Framingham Heart Study participants at a routine study visit (2016 to 2019). Of 3,486 individuals presenting for a multicomponent study visit, 3,116 (89%) completed CPET. The sample was middle-aged (54 ± 9 years), with 53% women, body mass index 28.3 ± 5.6 kg/m2, 48% with hypertension, 6% smokers, and 8% with diabetes. Exercise duration was 12.0 ± 2.1 minutes (limits 3.7to20.5). No major cardiovascular events occurred. A total of 98%, 96%, 90%, 76%, and 57% of the sample reached peak respiratory exchange ratio (RER) values of ≥1.0, ≥1.05, ≥1.10, ≥1.15, and ≥1.20, respectively (mean peak RER = 1.21 ± 0.10). With rising peak RER values up to ≈1.10, steep changes were observed for percent predicted peak VO2, VO2 at the ventilatory threshold/peak VO2, heart rate response, and Borg (subjective dyspnea) scores. More shallow changes for effort dependent CPET variables were observed with higher achieved RER values. In conclusion, measurement of peak VO2 is feasible and safe in a large sample of middle-aged, community-dwelling individuals with heterogeneous cardiovascular risk profiles. Peak RER ≥1.10 was achievable by the majority of middle-aged adults and RER values beyond this threshold did not necessarily correspond to higher peak VO2 values.
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20
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Iceta S, Dadar M, Daoust J, Scovronec A, Leblanc V, Pelletier M, Biertho L, Tchernof A, Bégin C, Michaud A. Association between Visceral Adiposity Index, Binge Eating Behavior, and Grey Matter Density in Caudal Anterior Cingulate Cortex in Severe Obesity. Brain Sci 2021; 11:brainsci11091158. [PMID: 34573180 PMCID: PMC8468041 DOI: 10.3390/brainsci11091158] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 01/01/2023] Open
Abstract
Visceral adipose tissue accumulation is an important determinant of metabolic risk and can be estimated by the visceral adiposity index (VAI). Visceral adiposity may impact brain regions involved in eating behavior. We aimed to examine the association between adiposity measurements, binge eating behavior, and grey matter density. In 20 men and 59 women with severe obesity, Grey matter density was measured by voxel-based morphometry for six regions of interest associated with reward, emotion, or self-regulation: insula, orbitofrontal cortex, caudal and rostral anterior cingulate cortex (ACC), ventromedial prefrontal cortex (vmPFC), and dorsolateral prefrontal cortex (DLPFC). Binge eating behavior, depression and impulsivity was assessed by the Binge Eating Scale, Beck Depression Inventory and UPPS Impulsive Behavior Scale, respectively. Men and women were distinctively divided into two subgroups (low-VAI and high-VAI) based on the mean VAI score. Women with high-VAI were characterized by metabolic alterations, higher binge eating score and lower grey matter density in the caudal ACC compared to women with low-VAI. Men with high-VAI were characterized by a higher score for the sensation-seeking subscale of the UPPS–Impulsive Behavior Scale compared to men with low-VAI. Using a moderation–mediation analysis, we found that grey matter density in the caudal ACC mediates the association between VAI and binge eating score. In conclusion, visceral adiposity is associated with higher binge eating severity in women. Decreased grey matter density in the caudal ACC, a region involved in cognition and emotion regulation, may influence this relationship.
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Affiliation(s)
- Sylvain Iceta
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- School of Nutrition, Université Laval, Quebec City, QC G1V 0A6, Canada
- Correspondence: (S.I.); (A.M.)
| | - Mahsa Dadar
- CERVO Brain Research Center, Centre Intégré Universitaire Santé et Services Sociaux de la Capitale Nationale, Université Laval, Quebec City, QC G1E 1T2, Canada;
| | - Justine Daoust
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- School of Nutrition, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Anais Scovronec
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- School of Nutrition, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Vicky Leblanc
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Quebec City, QC G1V 0A6, Canada;
| | - Melissa Pelletier
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
| | - Laurent Biertho
- Département de Chirurgie Générale, Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada;
| | - André Tchernof
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- School of Nutrition, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Catherine Bégin
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Quebec City, QC G1V 0A6, Canada;
- School of Psychology, Université Laval, Quebec City, QC G1V 0A6, Canada
| | - Andreanne Michaud
- Research Center of the Quebec Heart and Lung Institute, Université Laval, Quebec City, QC G1V 4G5, Canada; (J.D.); (A.S.); (M.P.); (A.T.); (C.B.)
- School of Nutrition, Université Laval, Quebec City, QC G1V 0A6, Canada
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Quebec City, QC G1V 0A6, Canada;
- Correspondence: (S.I.); (A.M.)
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21
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Abstract
A number of studies have examined the association of the three major eating disorders - anorexia nervosa, bulimia nervosa, and binge-eating disorder - with metabolic syndrome, or with individual components of metabolic syndrome, such as obesity, type 2 diabetes, hypertension, and dyslipidemia. Present evidence suggests that anorexia nervosa confers no excess risk of metabolic syndrome and may be associated with lower risk of certain metabolic syndrome components, including obesity and type 2 diabetes. Bulimia nervosa shows associations with increased risk for metabolic syndrome components in some studies, but not in others. Binge-eating disorder, however, is strongly associated with increased risk for both metabolic syndrome and its components - and these associations appear to be mediated not only through elevated body weight, but also possible body-weight-independent factors. Given that binge-eating disorder is the most common eating disorder, treatment and prevention of metabolic syndrome in this group represents a significant clinical and public health challenge.
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Affiliation(s)
- James I Hudson
- Biological Psychiatry Laboratory and Psychiatric Epidemiology Research Program, McLean Hospital, Belmont, MA.,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Kristin N Javaras
- Division of Women's Mental Health, McLean Hospital, Belmont, MA.,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Harrison G Pope
- Biological Psychiatry Laboratory and Psychiatric Epidemiology Research Program, McLean Hospital, Belmont, MA.,Department of Psychiatry, Harvard Medical School, Boston, MA
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22
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Shah RV, Schoenike MW, Armengol de la Hoz MÁ, Cunningham TF, Blodgett JB, Tanguay M, Sbarbaro JA, Nayor M, Rouvina J, Kowal A, Houstis N, Baggish AL, Ho JE, Hardin C, Malhotra R, Larson MG, Vasan RS, Lewis GD. Metabolic Cost of Exercise Initiation in Patients With Heart Failure With Preserved Ejection Fraction vs Community-Dwelling Adults. JAMA Cardiol 2021; 6:653-660. [PMID: 33729454 DOI: 10.1001/jamacardio.2021.0292] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Importance Heart failure with preserved ejection fraction (HFpEF) is a joint metabolic and cardiovascular disorder with significant noncardiac contributions. Objective To define and quantify the metabolic cost of initiating exercise in individuals with and without HFpEF and its functional consequences. Design, Setting, and Participants This prospective cohort study included individuals with hemodynamically confirmed HFpEF from the Massachusetts General Hospital Exercise Study (MGH-ExS) and community-dwelling participants from the Framingham Heart Study (FHS). Analysis began April 2016 and ended November 2020. Exposures Internal work (IW), a measure of work equivalents required to initiate movement. Main Outcomes and Measures Using breath-by-breath oxygen uptake (V̇o2) measurements and V̇o2-work rate associations, cost of initiating exercise (IW) in patients with HFpEF (MGH-ExS) and in community-dwelling individuals (FHS) was quantified. Linear regression was used to estimate associations between IW and clinical/hemodynamic measures. Results Of 3231 patients, 184 (5.7%) had HFpEF and were from MGH-ExS, and 3047 (94.3%) were community-dwelling individuals from FHS. In the MGH-ExS cohort, 86 (47%) were women, the median (interquartile range) age was 63 (53-72) years, and the median (interquartile range) peak V̇o2 level was 13.33 (11.77-15.62) mL/kg/min. In the FHS cohort, 1620 (53%) were women, the median (interquartile range) age was 54 (48-60) years, and the median (interquartile range) peak V̇o2 level was 22.2 (17.85-27.35) mL/kg/min. IW was higher in patients with HFpEF and accounted for 27% (interquartile range, 21%-39%) of the total work (IW + measured external workload on the cycle), compared with 15% (interquartile range, 12%-20%) of that in FHS participants. Body mass index accounted for greatest explained variance in patients with HFpEF from MGH-ExS and FHS participants (22% and 18%, respectively), while resting cardiac output and biventricular filling pressures were not significantly associated with variance in IW in patients with HFpEF. A higher IW in patients with HFpEF was associated with a greater increase in left- and right-sided cardiac filing pressure during unloaded exercise, despite similar resting hemodynamic measures across IW. Conclusions and Relevance This study found that internal work, a new body mass index-related measure reflecting the metabolic cost of initiating movement, is higher in individuals with HFpEF compared with middle-aged adults in the community and is associated with steep, early increases in cardiac filling pressures. These findings highlight the importance of quantifying heterogeneous responses to exercise initiation when evaluating functional intolerance in individuals at risk for or with HFpEF.
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Affiliation(s)
- Ravi V Shah
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Mark W Schoenike
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Miguel Á Armengol de la Hoz
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.,MIT Critical Data, Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge.,Biomedical Engineering and Telemedicine Group, Biomedical Technology Centre CTB, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain
| | - Thomas F Cunningham
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jasmine B Blodgett
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Melissa Tanguay
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - John A Sbarbaro
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Matthew Nayor
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jennifer Rouvina
- Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston
| | - Alyssa Kowal
- Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston
| | - Nicholas Houstis
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Aaron L Baggish
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jennifer E Ho
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Corey Hardin
- Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston
| | - Rajeev Malhotra
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Martin G Larson
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Division of Cardiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Gregory D Lewis
- Simches Cardiovascular Research Center, Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston.,Pulmonary Critical Care Unit, Massachusetts General Hospital, Boston
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23
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Harris SR, Carrillo M, Fujioka K. Binge-Eating Disorder and Type 2 Diabetes: A Review. Endocr Pract 2021; 27:158-164. [PMID: 33554873 DOI: 10.1016/j.eprac.2020.10.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Revised: 09/01/2020] [Accepted: 10/27/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To familiarize health care providers with diagnosis and treatment of binge-eating disorder (BED), a common comorbidity of type 2 diabetes (T2DM). METHODS Literature review of binge eating and T2DM. Key words used in search include BED, T2DM, obesity, and treatment. RESULTS The prevalence of BED in patients with T2DM appears to be much higher than the 2% to 3.5% prevalence seen in the general population. Studies suggest that up to 20% of patients with T2DM have an underlying eating disorder, the most common of which is binge eating. BED is probably underdiagnosed, even though there are multiple simple tools that providers can use to improve screening for the disorder. Though the relationship between BED and hemoglobin A1c control can vary, it appears that binge-eating behaviors can worsen metabolic markers, including glycemic control. Various medications used by patients with diabetes have been associated with new-onset BED, and treatment may be as simple as removing or replacing such agents. Several medications have been found to significantly reduce binge-eating frequency, and potentially, weight. Patients with BED generally benefit from psychotherapy, including cognitive behavioral therapy. CONCLUSION BED, only recently added to the International Classification of Disease-10 diagnostic list, is very common in patients with obesity and T2DM. The diagnosis is important to establish, as treatment or referral for treatment, could potentially improve many of the comorbidities and metrics of T2DM.
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Affiliation(s)
- Samantha R Harris
- Scripps Clinic Medical Group, Division of Diabetes and Endocrinology, La Jolla, California
| | - Maritza Carrillo
- Scripps Clinic Medical Group, Division of Diabetes and Endocrinology, La Jolla, California.
| | - Ken Fujioka
- Scripps Clinic Medical Group, Division of Diabetes and Endocrinology, La Jolla, California
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Understanding eating and drinking behaviours in Pakistani university students: A conceptual model through qualitative enquiry. Appetite 2021; 161:105133. [PMID: 33493609 DOI: 10.1016/j.appet.2021.105133] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 12/24/2020] [Accepted: 01/16/2021] [Indexed: 12/24/2022]
Abstract
Excess weight in Pakistan's university students is on the rise and is driven by their maladaptive eating behaviours. Practitioners in Pakistan have adopted Western conceptual models to understand obesogenic eating behaviours. However, these models provide incomplete explanations as they miss important culturally specific determinants for such eating behaviours. The goals of this study were two-fold: first, to explore Pakistani university students' perception of their obesity-related eating behaviours and attitudes; second, to develop a culturally sensitive model of obesogenic eating behaviours in university students from Pakistan. Semi-structured interviews were used with twenty-four Pakistani university students who were categorised as obese using the Body Mass Index according to Asia-Specific cut-offs. Interviews were transcribed, translated, and then analysed through a Grounded Theory methodology. Six major categories emerged from interviews: (1) Obesogenic Eating Habits (Social Eating, Emotional Eating, and Eating Whatever and Whenever You Want); (2) Beliefs about Food in the Culture; (3) Neither Too Fat nor Too Thin body belief (4) Student Life Attitudes; (5) Student Stressors; (6) Inconsistent Weight-Control Strategies. A model was developed with cultural beliefs about food, attitudes towards student-life, and stressors as important determinants of students' obesogenic eating habits, while inconsistent weight-control strategies contributed to further weight gain. The findings highlight the importance of identifying culturally specific determinants of eating behaviours among university students in Pakistan. This emerging model can be used to guide the development of future quantitative and also longitudinal studies aimed at identifying targets for therapeutic interventions to manage obesogenic eating behaviours in Pakistani university students.
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25
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Nayor M, Xanthakis V, Tanguay M, Blodgett JB, Shah RV, Schoenike M, Sbarbaro J, Farrell R, Malhotra R, Houstis NE, Velagaleti RS, Moore SA, Baggish AL, O'Connor GT, Ho JE, Larson MG, Vasan RS, Lewis GD. Clinical and Hemodynamic Associations and Prognostic Implications of Ventilatory Efficiency in Patients With Preserved Left Ventricular Systolic Function. Circ Heart Fail 2020; 13:e006729. [PMID: 32362167 DOI: 10.1161/circheartfailure.119.006729] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Ventilatory efficiency (minute ventilation required to eliminate carbon dioxide, VE/VCO2) during exercise potently predicts outcomes in advanced heart failure with reduced ejection fraction, but its prognostic significance for at-risk individuals with preserved left ventricular systolic function is unclear. We aimed to characterize mechanistic determinants and prognostic implications of VE/VCO2 in a single-center dyspneic referral cohort (MGH-ExS [Massachusetts General Hospital Exercise Study]) and in a large sample of community-dwelling participants in the FHS (Framingham Heart Study). METHODS Maximum incremental cardiopulmonary exercise tests were performed. VE/VCO2 was assessed as the slope pre- and post-ventilatory anaerobic threshold (VE/VCO2pre-VATslope, VE/VCO2post-VATslope), the slope throughout exercise (VE/VCO2overall-slope), and as the lowest 30-second value (VE/VCO2nadir). RESULTS In the MGH-ExS (N=493, age 56±15 years, 61% women, left ventricular ejection fraction 64±8%), higher VE/VCO2nadir was associated with lower peak exercise cardiac output and steeper increases in exercise pulmonary capillary wedge pressure (both P<0.0001). VE/VCO2nadir (hazard ratio, 1.34 per 1-SD unit [95% CI, 1.10-1.62] P=0.003) was associated with future cardiovascular hospitalization/death and outperformed classical VE/VCO2 measures used in heart failure with reduced ejection fraction (VE/VCO2overall-slope). In FHS (N=1936, age 54±9 years, 53% women), VE/VCO2 measures taken in low-to-moderate intensity exercise (including VE/VCO2pre-VATslope, VE/VCO2nadir) were directly associated with cardiovascular risk factor burden (smoking, Framingham cardiovascular disease risk score, and lower fitness; all P<0.001). CONCLUSIONS Impaired ventilatory efficiency is associated with cardiovascular risk in the community and with adverse hemodynamic profiles and future hospitalizations/death in a referral population, highlighting the prognostic importance of easily acquired submaximum exercise ventilatory gas exchange measurements in broad populations with preserved left ventricular systolic function.
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Affiliation(s)
- Matthew Nayor
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Vanessa Xanthakis
- Department of Biostatistics, Boston University School of Public Health, MA (V.X.).,Section of Preventive Medicine and Epidemiology (V.X., R.S. Vasan), Department of Medicine, Boston University School of Medicine, MA
| | - Melissa Tanguay
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jasmine B Blodgett
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ravi V Shah
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Mark Schoenike
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - John Sbarbaro
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Robyn Farrell
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Rajeev Malhotra
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston.,Cardiovascular Research Center (R.M., J.E.H.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Nicholas E Houstis
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Raghava S Velagaleti
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, MA (R.S. Velagaleti, S.A.M.)
| | - Stephanie A Moore
- Cardiology Section, Department of Medicine, Boston VA Healthcare System, West Roxbury, MA (R.S. Velagaleti, S.A.M.)
| | - Aaron L Baggish
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - George T O'Connor
- Division of Pulmonary, Allergy, Sleep, and Critical Care Medicine (G.T.O.), Department of Medicine, Boston University School of Medicine, MA
| | - Jennifer E Ho
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston.,Cardiovascular Research Center (R.M., J.E.H.), Massachusetts General Hospital, Harvard Medical School, Boston
| | | | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology (V.X., R.S. Vasan), Department of Medicine, Boston University School of Medicine, MA.,Division of Cardiology (R.S. Vasan), Department of Medicine, Boston University School of Medicine, MA
| | - Gregory D Lewis
- Cardiology Division, Department of Medicine (M.N., M.T., J.B.B., R.V.S., M.S., J.S., R.F., R.M., N.E.H., A.L.B., J.E.H., G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston.,Pulmonary Critical Care Unit (G.D.L.), Massachusetts General Hospital, Harvard Medical School, Boston
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26
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Chevinsky JD, Wadden TA, Chao AM. Binge Eating Disorder in Patients with Type 2 Diabetes: Diagnostic and Management Challenges. Diabetes Metab Syndr Obes 2020; 13:1117-1131. [PMID: 32341661 PMCID: PMC7166070 DOI: 10.2147/dmso.s213379] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/26/2020] [Indexed: 12/21/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is associated with an increased risk of disordered eating behaviors including binge eating disorder (BED). Comorbid BED in patients with T2DM has been associated with adverse clinical outcomes such as higher body mass index (BMI) and depressive symptoms. Identifying and addressing this disorder in patients with T2DM is a significant challenge for health-care providers. The purpose of this narrative review is to discuss current perspectives on BED in the context of T2DM with implications for screening and management of these highly comorbid conditions. BED continues to be underrecognized and underdiagnosed. However, there are established tools that providers can use to screen for BED such as the SCOFF Questionnaire and Questionnaire on Eating and Weight Patterns-5. There are several effective treatments for BED including cognitive behavioral therapy, interpersonal therapy, and lisdexamfetamine dimesylate. However, few studies have examined the effects of these treatments in patients with co-morbid T2DM and BED.
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Affiliation(s)
| | - Thomas A Wadden
- Perelman School of Medicine at the University of Pennsylvania, Department of Psychiatry, Philadelphia, PA, USA
| | - Ariana M Chao
- Perelman School of Medicine at the University of Pennsylvania, Department of Psychiatry, Philadelphia, PA, USA
- University of Pennsylvania School of Nursing, Department of Biobehavioral Health Sciences, Philadelphia, PA, USA
- Correspondence: Ariana M Chao University of Pennsylvania School of Nursing, 418 Curie Blvd, Philadelphia, PA19104, USATel +1215-746-7183Fax +1215-898-2878 Email
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Radin RM, Epel ES, Daubenmier J, Moran P, Schleicher S, Kristeller J, Hecht FM, Mason AE. Do stress eating or compulsive eating influence metabolic health in a mindfulness-based weight loss intervention? Health Psychol 2019; 39:147-158. [PMID: 31724424 DOI: 10.1037/hea0000807] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVE We aimed to understand the associations of compulsive eating (CE) and stress eating (SE) with metabolic health among adults with obesity and whether mindfulness-based weight loss training may buffer these associations. METHOD We used data from a trial in which we randomized 194 participants with obesity to a diet-exercise weight loss intervention with either mindful eating training plus mindfulness-based eating awareness and stress management training (n = 100) or active control components (n = 94). We measured CE, SE, weight, and fasting blood glucose (FBG) at baseline, and 6, 12 months, and 18 months. We tested CE and SE as both moderators and mediators of intervention effects on changes in metabolic health. RESULTS Participants higher (+ 1 SD) in CE at baseline randomized to the mindfulness (vs. control) intervention had greater improvements in FBG at 18 months (p = .05). Twelve-month reductions in CE mediated the effect of the intervention on changes in FBG and weight at 12 and 18 months postbaseline (p ≤ .05). Furthermore, those higher (+ 1 SD) in SE at baseline were nearly 2 BMI points higher than those lower (-1 SD) in SE (p < .01). Decreases in SE (B = 3.42; p < .001; 95% CI [2.55, 4.30]) and CE (B = 0.45; p < .001; 95% CI [0.36, 0.54]) in all participants at 6 months were associated with greater weight loss at 18 months. CONCLUSIONS Those with greater compulsive eating may reduce risk for metabolic decline by participating in a mindfulness-based weight loss program. Future obesity interventions should consider tailoring treatment toward trait-level characteristics, such as compulsive eating. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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28
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Ilyas A, Hübel C, Stahl D, Stadler M, Ismail K, Breen G, Treasure J, Kan C. The metabolic underpinning of eating disorders: A systematic review and meta-analysis of insulin sensitivity. Mol Cell Endocrinol 2019; 497:110307. [PMID: 30393006 DOI: 10.1016/j.mce.2018.10.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 09/25/2018] [Accepted: 10/04/2018] [Indexed: 01/17/2023]
Abstract
BACKGROUND A recent study reported a positive genetic correlation between anorexia nervosa and insulin sensitivity using data from genome-wide association studies. Epidemiological studies have, on the other hand, suggested that bulimia nervosa and binge-eating disorder are associated with decreased insulin sensitivity. The aim of this study was to conduct a systematic review and meta-analysis of insulin sensitivity across the spectrum of eating disorders. METHODS EMBASE, Medline, and PsycINFO were searched for all relevant studies published until January 2017, and retrieved studies were assessed for eligibility by two independent reviewers as per predefined inclusion criteria. The associations between eating disorder subtypes and insulin sensitivity were analysed separately. Individual effect sizes were standardized, and a meta-analysis was performed to calculate a pooled effect size using random effects. RESULTS Of 296 citations retrieved, 22 studies met the inclusion criteria, and 12 studies had appropriate data for meta-analysis. Using the random effects model, the pooled effect size (95% confidence interval) was 1.66 (0.79, 2.54) in people with anorexia nervosa (n = 340) and -0.57 (-0.80, -0.34) in people with bulimia nervosa (n = 120) and binge-eating disorders (n = 3241). INTERPRETATION Anorexia nervosa is associated with increased insulin sensitivity whilst bulimia nervosa and binge-eating disorders are associated with decreased insulin sensitivity. The possible mechanism underpinning these findings needs to be determined.
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Affiliation(s)
- Athif Ilyas
- Imperial College London, UK; Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Christopher Hübel
- Social, Genetic, Developmental and Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley Hospital, London, UK; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Stahl
- Department of Biostatistics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Marietta Stadler
- Diabetes Research Group, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Khalida Ismail
- Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Gerome Breen
- Social, Genetic, Developmental and Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley Hospital, London, UK
| | - Janet Treasure
- Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Carol Kan
- Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
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Santos Ferreira DL, Hübel C, Herle M, Abdulkadir M, Loos RJF, Bryant-Waugh R, Bulik CM, De Stavola BL, Lawlor DA, Micali N. Associations between Blood Metabolic Profile at 7 Years Old and Eating Disorders in Adolescence: Findings from the Avon Longitudinal Study of Parents and Children. Metabolites 2019; 9:metabo9090191. [PMID: 31546923 PMCID: PMC6780115 DOI: 10.3390/metabo9090191] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 09/13/2019] [Accepted: 09/16/2019] [Indexed: 11/29/2022] Open
Abstract
Eating disorders are severe illnesses characterized by both psychiatric and metabolic factors. We explored the prospective role of metabolic risk in eating disorders in a UK cohort (n = 2929 participants), measuring 158 metabolic traits in non-fasting EDTA-plasma by nuclear magnetic resonance. We associated metabolic markers at 7 years (exposure) with risk for anorexia nervosa and binge-eating disorder (outcomes) at 14, 16, and 18 years using logistic regression adjusted for maternal education, child’s sex, age, body mass index, and calorie intake at 7 years. Elevated very low-density lipoproteins, triglycerides, apolipoprotein-B/A, and monounsaturated fatty acids ratio were associated with lower odds of anorexia nervosa at age 18, while elevated high-density lipoproteins, docosahexaenoic acid and polyunsaturated fatty acids ratio, and fatty acid unsaturation were associated with higher risk for anorexia nervosa at 18 years. Elevated linoleic acid and n-6 fatty acid ratios were associated with lower odds of binge-eating disorder at 16 years, while elevated saturated fatty acid ratio was associated with higher odds of binge-eating disorder. Most associations had large confidence intervals and showed, for anorexia nervosa, different directions across time points. Overall, our results show some evidence for a role of metabolic factors in eating disorders development in adolescence.
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Affiliation(s)
- Diana L Santos Ferreira
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK.
| | - Christopher Hübel
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK.
- UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley Hospital, London SE5 8AF, UK.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
| | - Moritz Herle
- University College London, Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
| | - Mohamed Abdulkadir
- Department of Psychiatry, Faculty of Medicine, University of Geneva, CH-1205 Geneva, Switzerland.
| | - Ruth J F Loos
- Icahn Mount Sinai School of Medicine, New York, NY 10029, USA.
| | - Rachel Bryant-Waugh
- University College London, Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
| | - Cynthia M Bulik
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden.
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
| | - Bianca L De Stavola
- University College London, Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
| | - Deborah A Lawlor
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK.
- Bristol National Institute of Health Research Biomedical Research Centre, Bristol BS1 3NU, UK.
| | - Nadia Micali
- University College London, Great Ormond Street Institute of Child Health, London WC1N 1EH, UK.
- Department of Psychiatry, Faculty of Medicine, University of Geneva, CH-1205 Geneva, Switzerland.
- Child and Adolescent Psychiatry Division, Department of Child and Adolescent Health, Geneva University Hospital, CH-1205 Geneva, Switzerland.
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Abstract
Binge eating disorder (BED) is the most common eating disorder and is accompanied by multiple medical comorbidities, many of which are associated with obesity-related diseases. However, the BED itself is likely to confer additional risk factors. BED presents with medical symptoms in virtually every body system and can have devastating consequences on both quality and length of life. This review covers the major comorbidities of BED and highlights areas of ongoing research in this disorder.
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Affiliation(s)
| | - Julie Friedman
- Binge Eating Treatment and Recovery, Eating Recovery Center, Northwestern University Medical School, Department of Psychiatry, Eating Recovery Center Insight, 333 North Michigan Avenue, 19th Floor, Chicago, IL 60601, USA
| | - Philip S Mehler
- Eating Recovery Center, ACUTE @ Denver Health, Glassman Professor of Medicine, University of Colorado School of Medicine, 7351 East Lowry Boulevard, Suite 200, Denver, CO 80230, USA
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Franco CR, Costa MB, De Paula RB, Chaoubah AC, Colugnati FAB, Ezequiel DGA. Compulsão alimentar periódica: aspecto negligenciado na abordagem de pacientes com síndrome metabólica. HU REVISTA 2019. [DOI: 10.34019/1982-8047.2018.v44.13947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
A obesidade, um dos principais componentes da síndrome metabólica frequentemente associa-se à compulsão alimentar periódica (CAP). O objetivo do presente estudo foi avaliar a presença da CAP em mulheres com SM e a possível associação com parâmetros sociodemográficos, clínicos e comportamentais. Em estudo transversal foram selecionados 124 indivíduos com SM, distribuídos em dois grupos: Grupo 1 (ausência de CAP) e Grupo 2 (presença de CAP). A avaliação clínica incluiu medidas de peso e altura, circunferência da cintura e pressão arterial de consultório. Foram também avaliados parâmetros comportamentais, como presença de compulsão alimentar periódica, nível de atividade física, consumo de álcool, imagem corporal, sintomas depressivos e qualidade de vida. A avaliação laboratorial incluiu as dosagens de glicose e insulina, hormônio tiroestimulante, perfil lipídico e taxa de filtração glomerular estimada. Aplicou-se análise estatística através dos testes Qui Quadrado e t de Student. A média de idade das participantes foi 41±10,9 anos e a totalidade da amostra apresentava obesidade abdominal, com média da circunferência da cintura de 110±11,0 cm, 70% eram hipertensas, com média de Pressão Arterial Sistólica de 133±13,0 mmHg e Pressão Arterial Diastólica de 89±11,0 mmHg. Além disso, 95% eram sedentárias, 7% eram fumantes, 12% faziam uso nocivo do álcool, 98% declararam insatisfação com a imagem corporal e 62% apresentavam depressão. Observou-se presença de CAP em 57% das mulheres avaliadas. Houve associação entre CAP e idade, com predomínio na faixa etária entre 20 a 39 anos (p=0,010) e entre CAP e qualidade de vida (p=0,039). Quanto aos parâmetros laboratoriais, não foi observada diferença significativa entre os grupos. Em conclusão, a presença de CAP foi achado frequente em indivíduos com SM, sendo observada associação da CAP com faixa etária mais jovem e com pior qualidade de vida.Palavras-chave: Obesidade; Síndrome metabólica; Transtorno da compulsão alimentar.
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Yoon C, Jacobs DR, Duprez DA, Neumark-Sztainer D, Steffen LM, Mason SM. Problematic eating behaviors and attitudes predict long-term incident metabolic syndrome and diabetes: The Coronary Artery Risk Development in Young Adults Study. Int J Eat Disord 2019; 52:304-308. [PMID: 30636022 PMCID: PMC6408221 DOI: 10.1002/eat.23020] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 12/22/2018] [Accepted: 12/27/2018] [Indexed: 11/06/2022]
Abstract
BACKGROUND Problematic relationship to eating and food (PREF) captures a broad range of unhealthy eating behaviors. We previously reported that higher BMI is associated with PREF and graded by the number of PREF endorsed. In this study, we prospectively examined the association between PREF and metabolic syndrome and diabetes. METHOD Eight PREF behaviors were assessed and summed to form the PREF score in 3800 black and white adults (age 27-41 years) in the Coronary Artery Risk Development in Young Adults Study. Diagnoses of incident metabolic syndrome and diabetes were made through 15 years of follow-up. Logistic regression estimated the association with metabolic syndrome. Proportional hazards regression estimated the association with diabetes. RESULTS The odds ratio of metabolic syndrome was 1.25 per PREF point through 5 years of follow-up (95% CI: 1.17-1.34) and 1.17 per point from 5 to 10 years of follow-up (95% CI: 1.08-1.27). Hazard of diabetes was 1.20 per PREF point through 15 years of follow-up (95% CI: 1.12-1.28). Both associations attenuated after adjustment for BMI. DISCUSSION Among participants with PREF, higher scores associate with metabolic syndrome and diabetes, with partial attenuation after adjustment for BMI. Early identification of PREF in middle-aged adults may reduce the burden of metabolic health outcomes.
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Affiliation(s)
- Cynthia Yoon
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Daniel A Duprez
- Division of Cardiology, Department of Medicine, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Susan M Mason
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
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Bachner-Melman R, Lev-Ari L, Zohar AH, Lev SL. Can Recovery From an Eating Disorder Be Measured? Toward a Standardized Questionnaire. Front Psychol 2018; 9:2456. [PMID: 30618916 PMCID: PMC6297874 DOI: 10.3389/fpsyg.2018.02456] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 11/20/2018] [Indexed: 01/12/2023] Open
Abstract
Background: There is a clear need for a standardized definition of recovery from eating disorders (EDs) and for self-report instruments to assess where individuals with an ED are situated at a given point of time along their process of illness and recovery. It has been acknowledged that psychological and cognitive symptoms are important to recovery in addition to physical and behavioral indices. This study proposes a 28-item multidimensional questionnaire encompassing the main features of recovery from ED, derived from the endorsement of different criteria by people with a lifetime ED diagnosis, family members and ED clinicians. Methods: Participants were 213 volunteers over the age of 18 (118 people with a lifetime ED diagnosis, 58 healthy family members of people with EDs and 37 ED clinicians), who completed the ED-15 and indicated online how important they thought each of 56 criteria were for recovery from an ED. Results: Four factors were identified in an exploratory factor analysis: Lack of Symptomatic Behavior (LSB), Acceptance of Self and Body (ASB), Social and Emotional Connection (SEC), and Physical Health (PH). Confirmatory factor analysis using the seven highest loading items from each subscale confirmed the structure validity of a shortened version of this questionnaire, the Eating Disorders Recovery Endorsement Questionnaire (EDREQ), which had excellent goodness-of-fit indices. Despite a few between-group differences, there was general agreement that LSB was most salient to recovery, followed by ASB, SEC, and PH in that order. Conclusion: Despite the absence of a standardized definition of recovery from ED, there is a general consensus about its components. The EDREQ is a psychometrically sound questionnaire containing items that people with an ED history, their family members and therapists all define as important components of recovery. The inclusion of emotional and psychosocial aspects of recovery in addition to symptomatic and medical aspects is important to expand treatment goals and the concept of recovery from EDs beyond symptom relief and the absence of disease markers. As a clinical tool, the EDREQ stands to assist in setting and refining therapeutic goals throughout therapy, and in establishing standardized, comparable norms for recovery levels in research.
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Affiliation(s)
- Rachel Bachner-Melman
- Clinical Psychology Graduate Program, Ruppin Academic Center, Hadera, Israel
- The Paul Baerwald School of Social Work and Social Welfare, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Lilac Lev-Ari
- Clinical Psychology Graduate Program, Ruppin Academic Center, Hadera, Israel
| | - Ada H. Zohar
- Clinical Psychology Graduate Program, Ruppin Academic Center, Hadera, Israel
| | - Shay Lee Lev
- Clinical Psychology Graduate Program, Ruppin Academic Center, Hadera, Israel
- Student Counselling Service, University of Haifa, Haifa, Israel
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Garcia GD, Pompeo DA, Eid LP, Cesarino CB, Pinto MH, Gonçalves LWP. Relationship between anxiety, depressive symptoms and compulsive overeating disorder in patients with cardiovascular diseases. Rev Lat Am Enfermagem 2018; 26:e3040. [PMID: 30183873 PMCID: PMC6136526 DOI: 10.1590/1518-8345.2567.3040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 05/27/2018] [Indexed: 01/22/2023] Open
Abstract
Objectives: to identify the presence of compulsive overeating disorder in patients with
cardiovascular diseases and to verify its relation with sociodemographic,
clinical variables and the presence of anxiety and depressive symptoms. Method: cross-sectional, correlational study with a sample of 111 patients with
cardiovascular diseases. The presence of anxiety and depressive symptoms was
assessed by the Hospital Anxiety and Depression Scale
instrument and compulsive overeating disorder was assessed through a likert
instrument called the Periodic Eating Disorder Scale (Binge Eating Scale).
Results: there was a predominance of patients without compulsive overeating disorder
(n=91, 82%), followed by moderated compulsive overeating (n=15, 13.5%) and
severe (n=5, 4.5%) associating to high levels of body mass index (p=0.010)
and the presence of anxiety (p=0.017). Conclusion: Compulsive overeating disorder was present in 18% of the patients, being
associated with body mass index and anxiety, suggesting that health
professionals should pay attention to the comprehensive evaluation of
patients with cardiovascular diseases. Important results emerged from this
study, emphasizing the need to implement programs to improve the patients’
mental and physical health in both primary and specialized care
services.
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Affiliation(s)
- Géssica Damares Garcia
- Child and Adolescent Health Multidisciplinary Residency Student, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil
| | - Daniele Alcalá Pompeo
- PhD, Adjunct Professor, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil
| | - Letícia Palota Eid
- PhD, Adjunct Professor, Unidade Acadêmica Ciências da Saúde, Universidade Federal de Goiás, Jataí, GO, Brazil
| | - Cláudia Bernardi Cesarino
- PhD, Adjunct Professor, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil
| | - Maria Helena Pinto
- PhD, Adjunct Professor, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil
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Solmi F, Melamed D, Lewis G, Kirkbride JB. Longitudinal associations between psychotic experiences and disordered eating behaviours in adolescence: a UK population-based study. THE LANCET. CHILD & ADOLESCENT HEALTH 2018; 2:591-599. [PMID: 30119718 PMCID: PMC6054050 DOI: 10.1016/s2352-4642(18)30180-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 05/21/2018] [Accepted: 05/22/2018] [Indexed: 01/12/2023]
Abstract
BACKGROUND Psychotic experiences might represent non-specific markers of poor mental health in adolescence. However, only a few predominantly cross-sectional studies have tested their association with disordered eating behaviours in adolescent and adult populations. The aim of this study was to explore the association between psychotic experiences at age 13 years, and disordered eating behaviours and body-mass index (BMI) at age 18 years. METHODS We used data from the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in Avon (England, UK) including mothers with an expected delivery date between April 1, 1991, and Dec 31, 1992, and their children. Psychotic experiences (such as delusions and hallucinations) and BMI were measured at clinical assessments when children were nearly aged 13 years, and data on disordered eating behaviours (ie, presence of binge eating, purging, fasting, or excessive exercise for weight loss; any of these behaviours [included to increase statistical power]; and number of behaviours [included to investigate severity]) were obtained via a postal questionnaire that used adapted questions from the Youth Risk Behaviour Surveillance System questionnaire at approximately age 18 years. For each outcome, we ran a univariable model and four multivariable models (logistic, linear [for BMI], or negative binomial [for the number of behaviours] regression), progressively adjusting for child and maternal sociodemographic, physical, and mental health characteristics (including child's sex, and maternal age, marital status, and highest academic qualification); autistic traits at age 7 years (measured with the Social and Communication Disorder Checklist); baseline BMI at age 13 years, and depressive symptoms at baseline (ie, at age 13 years when psychotic experiences were measured: childs' symptoms measured with the Moods and feelings Questionnaire, and maternal symptoms measured at 32 weeks' gestation with the Edinburgh Postnatal Depression Scale). We imputed missing outcome and covariate data. FINDINGS Our sample included 6361 children, of whom 734 (12%) reported psychotic experiences at age 13 years. In univariable models, psychotic experiences were associated with greater odds of reporting any disordered eating behaviours (odds ratio [OR] 1·92, 95% CI 1·46-2·52; p<0·0001), and more severe symptoms (as measured by the number of disordered eating behaviours: 0·58, 0·32-0·84; p<0·0001) at age 18 years. These associations were slightly attenuated by adjustment for maternal and child characteristics (any disordered eating behaviours OR 1·82, 95% CI 1·35-2·44, p<0·0001; number of disordered eating behaviours 0·49, 95% CI 0·23-0·75, p<0·00001), autistic traits at age 7 years (any disordered eating behaviours OR 1·80, 95% CI 1·34-2·41, p<0·0001; number of disordered eating behaviours 0·48, 95% CI 0·22-0·74, p<0·00001), and BMI (any disordered-eating behaviours OR 1·83, 95% CI 1·36-2·46, p<0·0001; number of disordered-eating behaviours 0·32, 95% CI 0·06-0·57, p<0·00001) Adjusting for baseline depressive symptoms attenuated, but not removed, these associations (any disordered eating OR 1·50, 95% CI 1·10-2·03, p=0·010; more severe symptoms 0·32, 0·06-0·57, p=0·017). Psychotic experiences were also associated with greater binge eating, purging, and fasting behaviours, although some associations weakened after controlling for depressive symptoms. We noted no associations between psychotic experiences and excessive exercise or BMI in any of the models. INTERPRETATION Our findings suggested that psychotic experiences are markers of increased risk for several disordered eating behaviours in late adolescence, possibly by indicating more severe psychopathology in early adolescence. More research investigating shared risk factors for psychotic experiences and eating disorders is warranted to elucidate shared and specific causal pathways. FUNDING Wellcome Trust, the Royal Society, University College London Hospitals National Institute for Health Research Biomedical Research Centre, UK Medical Research Council, and the University of Bristol.
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Affiliation(s)
- Francesca Solmi
- Division of Psychiatry, University College London, London, UK.
| | - Daniela Melamed
- Division of Psychiatry, University College London, London, UK
| | - Glyn Lewis
- Division of Psychiatry, University College London, London, UK
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36
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Shank LM, Tanofsky-Kraff M, Radin RM, Shomaker LB, Wilfley DE, Young JF, Brady S, Olsen CH, Reynolds JC, Yanovski JA. Remission of loss of control eating and changes in components of the metabolic syndrome. Int J Eat Disord 2018; 51:565-573. [PMID: 29607525 PMCID: PMC6002918 DOI: 10.1002/eat.22866] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 03/14/2018] [Accepted: 03/15/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Pediatric loss of control (LOC) eating prospectively predicts the worsening of metabolic syndrome components. However, it is unknown if remission of LOC eating is associated with improvements in metabolic health. Therefore, we conducted a secondary analysis of a trial that enrolled adolescent girls with LOC eating, examining whether LOC remission (vs. persistence) at end-of-treatment was associated with changes in metabolic syndrome components at 6-month follow-up. METHOD One hundred three adolescent girls (age 14.5 ± 1.7 years; BMI-z 1.5 ± 0.3; 56.3% non-Hispanic White, 24.3% non-Hispanic Black) with elevated weight (75th-97th BMI %ile) and reported LOC eating were assessed for metabolic syndrome components at baseline and again six months following the interventions. The main effects of LOC status at end-of-treatment (persistence vs. remission) on metabolic syndrome components (waist circumference, lipids, glucose, and blood pressure) at 6-month follow-up were examined, adjusting for baseline age, depressive symptoms, LOC frequency, fat mass, and height, as well as race, change in height, change in fat mass, and the baseline value of each respective component. RESULTS Youth with LOC remission at end-of-treatment had lower glucose (83.9 ± 6.4 vs. 86.5 ± 5.8 mg/dL; p = .02), higher high-density lipoprotein cholesterol (50.3 ± 11.8 vs. 44.8 ± 11.9 mg/dL; p = .01), and lower triglycerides (84.4 ± 46.2 vs. 96.9 ± 53.7 mg/dL; p = .02) at 6-month follow-up when compared with youth with persistent LOC, despite no baseline differences in these components. No other component significantly differed by LOC eating status (ps > .05). DISCUSSION Reducing LOC eating in adolescent girls may have a beneficial impact on some components of the metabolic syndrome.
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Affiliation(s)
- Lisa M Shank
- Medical and Clinical Psychology Department, Uniformed Services University of the Health Sciences (USUHS), Bethesda, Maryland.,Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland.,Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF), Bethesda, Maryland
| | - Marian Tanofsky-Kraff
- Medical and Clinical Psychology Department, Uniformed Services University of the Health Sciences (USUHS), Bethesda, Maryland.,Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland
| | - Rachel M Radin
- Medical and Clinical Psychology Department, Uniformed Services University of the Health Sciences (USUHS), Bethesda, Maryland.,Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland
| | - Lauren B Shomaker
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland.,Department of Human Development and Family Studies, Colorado State University, Fort Collins, Colorado
| | - Denise E Wilfley
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Jami F Young
- Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, Penninsylvania
| | - Sheila Brady
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland
| | - Cara H Olsen
- Preventive Medicine and Biostatistics Department, USUHS, Bethesda, Maryland
| | - James C Reynolds
- Radiology and Imaging Sciences Department, Clinical Center, NIH, Bethesda, Maryland
| | - Jack A Yanovski
- Section on Growth and Obesity, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, Maryland
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37
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Leone A, Vignati L, Battezzati A, De Amicis R, Ponissi V, Beggio V, Bedogni G, Vanzulli A, Bertoli S. Association of Binge Eating Behavior with Total and Abdominal Adipose Tissue in a Large Sample of Participants Starting a Weight Loss or Maintenance Program. J Am Coll Nutr 2018; 37:701-707. [PMID: 29702028 DOI: 10.1080/07315724.2018.1463184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Objective: It is not clear whether binge eating (BE) behavior is associated with body composition independently of body mass index (BMI). Our aim has been to evaluate the BMI-independent contribution of BE severity and BE status on the total amount of fat mass and abdominal fat distribution in a large sample of participants.Method: We performed a cross-sectional study among 8524 participants followed at a nutritional center. BMI and waist circumference (WC) were measured, body fat (BF) was estimated by skinfold measurement, and abdominal visceral (VAT) and subcutaneous (SAT) adipose tissues were measured by ultrasonography. BE was assessed using the Binge Eating Scale (BES). The association between the continuous BES score (BE severity) and adiposity was assessed in the whole sample after adjustment for BMI and other confounders. The effect of BE status on adiposity was also assessed by matching binge eaters (BES ≥ 18), for sex, age, and BMI, with non-binge eaters (BES < 18).Results: We found that 17.7% of the participants were binge eaters. Continuous BES score was associated with increasing WC (0.03 cm, 95% confidence interval [CI], 0.02 to 0.05 every 1 BES unit, p < 0.001) and decreasing BF (0.01%, 95% CI, -0.02 to -0.00 every 1 BES unit, p = 0.003). No association was found between BE severity and VAT and SAT. After matching, the BF of binge eaters was 0.29% (95% CI, -0.50 to -0.07, p = 0.01) lower than that of non-binge eaters.Conclusions: Given the very small effect size, BE severity and status are not associated in a biologically meaningful manner with BF content and distribution.
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Affiliation(s)
- Alessandro Leone
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Laila Vignati
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Alberto Battezzati
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Ramona De Amicis
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Veronica Ponissi
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Valentina Beggio
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Giorgio Bedogni
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
| | - Angelo Vanzulli
- Niguarda Cancer Center, Niguarda Cà Granda Hospital, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Simona Bertoli
- International Center for the Assessment of Nutritional Status, Department of Food, Environmental, and Nutritional Sciences, University of Milan, Milan, Italy
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Barber JA, Ivezaj V, Barnes RD. Comparing physical activity in individuals with overweight/obesity with and without binge eating disorder. Obes Sci Pract 2018; 4:134-140. [PMID: 29670751 PMCID: PMC5893463 DOI: 10.1002/osp4.154] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/14/2023] Open
Abstract
Objective Differential participation in physical activity (PA) may partially explain the health discrepancies between individuals with or without binge-eating disorder (BED). Yet, little is known about the PA habits of individuals with overweight/obesity and how those patterns may differ based on BED status. PA patterns and exercise self-efficacy were examined in individuals with overweight/obesity, with and without BED. Design Ninety-seven participants with overweight/obesity self-reported their PA via the Godin Leisure-Time Questionnaire and the Paffenbarger PA Questionnaire. Exercise self-efficacy was assessed with the Marcus 5-item Exercise Self-Efficacy scale. Based on the Eating Disorder Examination, 27.8% (n = 27) of the participants met BED criteria. Participants were primarily female (n = 75, 77.3%), on average 47.5 years old (standard deviation = 10.4), and predominantly White/Not Hispanic (n = 67, 69.1%) or African-American/Not Hispanic (n = 18, 18.6%). Results Hierarchical regressions, accounting for significant differences in body mass index between those with and without BED, showed that the Marcus 5-item Exercise Self-Efficacy Scale (but not BED status) was significantly related to PA. BED status also was unrelated to likelihood of reaching Centres for Disease Control PA guidelines, and 44.3% of all participants reported no participation in weekly sports/recreation activities. Conclusions Both groups participated in relatively little purposeful and moderate/strenuous PA. Exercise self-efficacy may be important to assess and address among treatment seeking individuals with and without BED who struggle with excess weight.
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Affiliation(s)
- J. A. Barber
- Psychology 116BVA Connecticut Healthcare SystemWest HavenCTUSA
- Department of PsychiatryYale University School of MedicineNew HavenCTUSA
| | - V. Ivezaj
- Department of PsychiatryYale University School of MedicineNew HavenCTUSA
| | - R. D. Barnes
- Department of PsychiatryYale University School of MedicineNew HavenCTUSA
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Preliminary examination of metabolic syndrome response to motivational interviewing for weight loss as compared to an attentional control and usual care in primary care for individuals with and without binge-eating disorder. Eat Behav 2017; 26:108-113. [PMID: 28226308 PMCID: PMC5545172 DOI: 10.1016/j.eatbeh.2017.02.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 02/09/2017] [Accepted: 02/13/2017] [Indexed: 12/18/2022]
Abstract
Motivational interviewing (MI) treatment for weight loss is being studied in primary care. The effect of such interventions on metabolic syndrome or binge eating disorder (BED), both highly related to excess weight, has not been examined in primary care. This study conducted secondary analyses from a randomized controlled trial to test the impact of MI for weight loss in primary care on metabolic syndrome. 74 adult participants with overweight/obesity recruited through primary care were randomized to 12weeks of either MI, an attentional control, or usual care. Participants completed measurements for metabolic syndrome at pre- and post-treatment. There were no statistically significant differences in metabolic syndrome rates at pre-, X2(2)=0.16, p=0.921, or post-, X2(2)=0.852, p=0.653 treatment. The rates in metabolic syndrome, however, decreased for MI (10.2%) and attentional control (13.8%) participants, but not for usual care. At baseline, metabolic syndrome rates did not differ significantly between participants with BED or without BED across treatments. At post-treatment, participants with BED were significantly more likely to meet criteria for metabolic syndrome than participants without BED, X2(1)=5.145, p=0.023, phi=0.273. Across treatments, metabolic syndrome remitted for almost a quarter of participants without BED (23.1%) but for 0% of those with BED. These preliminary results are based on a small sample and should be interpreted with caution, but they are the first to suggest that relatively low intensity MI weight loss interventions in primary care may decrease metabolic syndrome rates but not for individuals with BED.
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40
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Parry SA, Woods RM, Hodson L, Hulston CJ. A Single Day of Excessive Dietary Fat Intake Reduces Whole-Body Insulin Sensitivity: The Metabolic Consequence of Binge Eating. Nutrients 2017; 9:nu9080818. [PMID: 28758920 PMCID: PMC5579612 DOI: 10.3390/nu9080818] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 07/14/2017] [Accepted: 07/26/2017] [Indexed: 01/08/2023] Open
Abstract
Consuming excessive amounts of energy as dietary fat for several days or weeks can impair glycemic control and reduce insulin sensitivity in healthy adults. However, individuals who demonstrate binge eating behavior overconsume for much shorter periods of time; the metabolic consequences of such behavior remain unknown. The aim of this study was to determine the effect of a single day of high-fat overfeeding on whole-body insulin sensitivity. Fifteen young, healthy adults underwent an oral glucose tolerance test before and after consuming a high-fat (68% of total energy), high-energy (78% greater than daily requirements) diet for one day. Fasting and postprandial plasma concentrations of glucose, insulin, non-esterified fatty acids, and triglyceride were measured and the Matsuda insulin sensitivity index was calculated. One day of high-fat overfeeding increased postprandial glucose area under the curve (AUC) by 17.1% (p < 0.0001) and insulin AUC by 16.4% (p = 0.007). Whole-body insulin sensitivity decreased by 28% (p = 0.001). In conclusion, a single day of high-fat, overfeeding impaired whole-body insulin sensitivity in young, healthy adults. This highlights the rapidity with which excessive consumption of calories through high-fat food can impair glucose metabolism, and suggests that acute binge eating may have immediate metabolic health consequences for the individual.
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Affiliation(s)
- Siôn A Parry
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK.
| | - Rachel M Woods
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK.
| | - Leanne Hodson
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LE, UK.
| | - Carl J Hulston
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK.
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41
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Shank LM, Tanofsky-Kraff M, Kelly NR, Schvey NA, Marwitz SE, Mehari RD, Brady SM, Demidowich AP, Broadney MM, Galescu OA, Pickworth CK, Yanovski SZ, Yanovski JA. Pediatric Loss of Control Eating and High-Sensitivity C-Reactive Protein Concentrations. Child Obes 2017; 13:1-8. [PMID: 27732055 PMCID: PMC5278829 DOI: 10.1089/chi.2016.0199] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Loss of control (LOC) eating in youth is associated with excess body weight and adiposity. After adjusting for fat mass, youth with LOC eating have higher blood pressure and higher low-density lipoprotein cholesterol compared to youth without LOC eating. Increased inflammation may account for this relationship, although few data have examined this hypothesis. Therefore, this study explored the association between LOC eating and high-sensitivity C-reactive protein (hsCRP), a marker of inflammation. METHODS We investigated hsCRP concentrations in relation to LOC eating in a convenience sample of 194 youth (age 14.3 ± 2.1 years; 63.9% female; BMI-z 1.64 ± 1.06). The presence of LOC eating in the past month was assessed by the Eating Disorder Examination interview. Serum hsCRP was measured by enzyme-linked immunosorbent assay. Adiposity was measured by air displacement plethysmography or dual-energy x-ray absorptiometry. We compared hsCRP in those with and without LOC eating in analyses accounting for sex, adiposity, height, depressive symptoms, and eating psychopathology. RESULTS Youth with LOC eating had significantly greater hsCRP than youth without LOC eating (p = 0.02), after accounting for all covariates. The number of LOC eating episodes in the past month was positively associated with hsCRP (p = 0.01). The relationship between LOC eating and hsCRP was not mediated by depressive symptoms or eating psychopathology (ps > 0.05). CONCLUSIONS Youth with disinhibited eating may manifest increased chronic inflammation. Those with LOC eating may be an important subgroup at risk for adverse health outcomes associated with both chronic inflammation and obesity. Future research should examine whether hsCRP concentrations mediate the relationship between LOC eating and its association with cardiometabolic risk.
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Affiliation(s)
- Lisa M. Shank
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD.,Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USUHS), DoD, Bethesda, MD
| | - Marian Tanofsky-Kraff
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD.,Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USUHS), DoD, Bethesda, MD
| | - Nichole R. Kelly
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD.,Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USUHS), DoD, Bethesda, MD
| | - Natasha A. Schvey
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD.,Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences (USUHS), DoD, Bethesda, MD
| | - Shannon E. Marwitz
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Rim D. Mehari
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Sheila M. Brady
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Andrew P. Demidowich
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Miranda M. Broadney
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Ovidiu A. Galescu
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Courtney K. Pickworth
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Susan Z. Yanovski
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD.,Office of Obesity Research, Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institutes of Health (NIH), DHHS, Bethesda, MD
| | - Jack A. Yanovski
- Section on Growth and Obesity, Division of Translational Medicine, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), DHHS, Bethesda, MD
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Contribution of binge eating behaviour to cardiometabolic risk factors in subjects starting a weight loss or maintenance programme. Br J Nutr 2016; 116:1984-1992. [PMID: 27974060 DOI: 10.1017/s0007114516004141] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
The contribution of binge eating (BE) behaviour to cardiometabolic risk factors has been scarcely investigated so far. Previous studies have not considered the nutritional status and lifestyle of subjects suffering from BE. The aim of this study was to evaluate the contribution of BE to the metabolic syndrome (MS), its components, high total cholesterol and high LDL in a large sample of subjects, taking into account nutritional status, dietary habits, smoking status and physical activity. For this purpose, 5175 adults seeking a weight loss or maintenance programme were recruited. Anthropometrical measurements and blood parameters were measured. BE was evaluated using the Binge Eating Scale (BES). A fourteen-item questionnaire was used to evaluate the adherence to the Mediterranean diet. Smoking status and physical activity were investigated by interview. BE prevalence was 0·16 (95 % CI 0·15, 0·17). A sex- and age-adjusted Poisson regression model showed a higher prevalence of MS in binge eaters (0·33; 95 % CI 0·28, 0·37) compared with non-binge eaters (0·27; 95 % CI 0·25, 0·28, P=0·011). However, the statistical difference was lost after inclusion of BMI and lifestyle parameters in the multiple-adjusted model. We also evaluated the association between the continuous outcomes of interest and the BES score using a multivariable median regression model. We observed a positive, but clinically irrelevant, association between BES score and HDL levels (P<0·001). In conclusion, BE does not seem to be independently related to cardiometabolic risk factors. However, the screening and treatment of BE are of clinical relevance in order to reduce the risk of developing obesity.
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Szulc P, Amri EZ, Varennes A, Panaia-Ferrari P, Fontas E, Goudable J, Chapurlat R, Breuil V. High serum oxytocin is associated with metabolic syndrome in older men - The MINOS study. Diabetes Res Clin Pract 2016; 122:17-27. [PMID: 27764720 DOI: 10.1016/j.diabres.2016.09.022] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 09/05/2016] [Accepted: 09/22/2016] [Indexed: 02/06/2023]
Abstract
AIM Oxytocin regulates food intake, carbohydrate and lipid metabolism, and urinary sodium excretion. We assessed the association between serum oxytocin levels and presence of metabolic syndrome (MetS) in older men. METHODS Cross-sectional study was performed in 540 volunteer men aged 50-85yrs from the MINOS cohort. Oxytocin was measured in fasting serum by radioimmunoassay (Oxytocin RIA, Phoenix Pharmaceuticals). MetS was diagnosed using the harmonized definition. RESULTS Serum oxytocin was higher in 166 men with MetS vs. controls (p<0.005). After adjustment for confounders including leptin, higher oxytocin was associated with higher odds of MetS (OR=1.38 per SD, 95%CI: 1.10-1.71, p<0.005). Men with serum oxytocin >0.74pg/mL (median) had higher odds of MetS vs. men with oxytocin ⩽0.74pg/mL (OR=2.06, 95%CI: 1.33-3.18, p<0.005). Higher oxytocin levels and low testosterone levels (total or free) were significantly associated with higher odds of MetS jointly and independently of each other. Men having oxytocin >0.74pg/mL and total testosterone <300ng/dL (<10.4nmol/L) had higher odds of MetS vs. men without these characteristics (OR=3.95, 95%CI: 1.65-9.46, p<0.005). Men having 25-hydroxycholecalciferol levels <30ng/mL and oxytocin >0.74pg/mL had higher odds of MetS vs. men without these characteristics (OR=2.86, 95%CI: 1.47-5.58, p<0.01). Men having oxytocin >0.74pg/mL and osteocalcin levels <14.6ng/mL (lowest quartile) had higher odds of MetS vs. men without these characteristics (OR=4.12, 95%CI: 2.07-8.20, p<0.001). CONCLUSION In older men, higher serum oxytocin levels are associated with higher odds of MetS regardless of potential confounders.
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Affiliation(s)
- Pawel Szulc
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France.
| | - Ez Zoubir Amri
- CNRS, iBV UMR 7277, Université Nice Sophia Antipolis, Parc Valrose Nice, France; INSERM, iBV, U1091, Nice, France
| | - Annie Varennes
- Department of Biochemistry and Molecular Biology, Laboratory of Medical Biology, Hospices Civils de Lyon, Lyon, France
| | | | - Eric Fontas
- Nice University Hospital, Cimiez Hospital, Department of Clinical Research, Nice, France
| | - Joëlle Goudable
- Dept. of Public Health, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Roland Chapurlat
- INSERM UMR 1033, University of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Véronique Breuil
- Nice University Hospital, Pasteur Hospital, Department of Rheumatology, Nice, France; UMR E-4320 MATOs CEA/iBEB/SBTN, Université Nice Sophia Antipolis, Faculté de Médecine, Nice, France
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Mustelin L, Bulik CM, Kaprio J, Keski-Rahkonen A. Prevalence and correlates of binge eating disorder related features in the community. Appetite 2016; 109:165-171. [PMID: 27899295 DOI: 10.1016/j.appet.2016.11.032] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 11/19/2016] [Accepted: 11/23/2016] [Indexed: 10/20/2022]
Abstract
Binge eating disorder (BED) is associated with high levels of obesity and psychological suffering, but little is known about 1) the distribution of features of BED in the general population and 2) their consequences for weight development and psychological distress in young adulthood. We investigated the prevalence of features of BED and their association with body mass index (BMI) and psychological distress among men (n = 2423) and women (n = 2825) from the longitudinal community-based FinnTwin16 cohort (born 1975-1979). Seven eating-related cognitions and behaviors similar to the defining features of BED were extracted from the Eating Disorder Inventory-2 and were assessed at a mean age of 24. BMI and psychological distress, measured with the General Health Questionnaire, were assessed at ages 24 and 34. We assessed prevalence of the features and their association with BMI and psychological distress cross-sectionally and prospectively. More than half of our participants reported at least one feature of BED; clustering of several features in one individual was less common, particularly among men. The most frequently reported feature was 'stuffing oneself with food', whereas the least common was 'eating or drinking in secrecy'. All individual features of BED and their clustering particularly were associated with higher BMI and more psychological distress cross-sectionally. Prospectively, the clustering of features of BED predicted increase in psychological distress but not additional weight gain when baseline BMI was accounted for. In summary, although some features of BED were common, the clustering of several features in one individual was not. The features were cumulatively associated with BMI and psychological distress and predicted further increase in psychological distress over ten years of follow-up.
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Affiliation(s)
- Linda Mustelin
- Department of Public Health, University of Helsinki, Finland; Departments of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
| | - Cynthia M Bulik
- Departments of Psychiatry and Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Finland; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
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Chao A, Grey M, Whittemore R, Reuning-Scherer J, Grilo CM, Sinha R. Examining the mediating roles of binge eating and emotional eating in the relationships between stress and metabolic abnormalities. J Behav Med 2015; 39:320-32. [PMID: 26686376 DOI: 10.1007/s10865-015-9699-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Accepted: 11/24/2015] [Indexed: 12/31/2022]
Abstract
To test whether binge eating and emotional eating mediate the relationships between self-reported stress, morning cortisol and the homeostatic model of insulin resistance and waist circumference. We also explored the moderators of gender and age. Data were from 249 adults (mean BMI = 26.9 ± 5.1 kg/m(2); mean age = 28.3 ± 8.3 years; 54.2% male; 69.5% white) recruited from the community who were enrolled in a cross-sectional study. Participants completed a comprehensive assessment panel of psychological and physiological assessments including a morning blood draw for plasma cortisol. We found negative relationships between stress and morning cortisol (r = -0.15 to -0.21; p < 0.05), and cortisol and the homeostatic model of insulin resistance and waist circumference (r = -0.16, -0.25, respectively; p < 0.05). There was not statistical support for binge eating or emotional eating as mediators and no support for moderated mediation for either gender or age; however, gender moderated several paths in the model. These include the paths between perceived stress and emotional eating (B = 0.009, p < 0.001), perceived stress and binge eating (B = 0.01, p = 0.003), and binge eating and increased HOMA-IR (B = 0.149, p = 0.018), which were higher among females. Among women, perceived stress may be an important target to decrease binge and emotional eating. It remains to be determined what physiological and psychological mechanisms underlie the relationships between stress and metabolic abnormalities.
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Affiliation(s)
- Ariana Chao
- Yale University School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA.
| | - Margaret Grey
- Yale University School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA
| | - Robin Whittemore
- Yale University School of Nursing, 400 West Campus Drive, Orange, CT, 06477, USA
| | | | - Carlos M Grilo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Department of Psychology, Yale University, New Haven, CT, USA.,CASAColumbia, Yale University School of Medicine, New Haven, CT, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.,Yale Stress Center, New Haven, CT, USA
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46
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Succurro E, Segura-Garcia C, Ruffo M, Caroleo M, Rania M, Aloi M, De Fazio P, Sesti G, Arturi F. Obese Patients With a Binge Eating Disorder Have an Unfavorable Metabolic and Inflammatory Profile. Medicine (Baltimore) 2015; 94:e2098. [PMID: 26717356 PMCID: PMC5291597 DOI: 10.1097/md.0000000000002098] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
To evaluate whether obese patients with a binge eating disorder (BED) have an altered metabolic and inflammatory profile related to their eating behaviors compared with non-BED obese.A total of 115 White obese patients consecutively recruited underwent biochemical, anthropometrical evaluation, and a 75-g oral glucose tolerance test. Patients answered the Binge Eating Scale and were interviewed by a psychiatrist. The patients were subsequently divided into 2 groups according to diagnosis: non-BED obese (n = 85) and BED obese (n = 30). Structural equation modeling analysis was performed to elucidate the relation between eating behaviors and metabolic and inflammatory profile.BED obese exhibited significantly higher percentages of altered eating behaviors, body mass index (P < 0.001), waist circumference (P < 0.01), fat mass (P < 0.001), and a lower lean mass (P < 0.001) when compared with non-BED obese. Binge eating disorder obese also had a worse metabolic and inflammatory profile, exhibiting significantly lower high-density lipoprotein cholesterol levels (P < 0.05), and higher levels of glycated hemoglobin (P < 0.01), uric acid (P < 0.05), erythrocyte sedimentation rate (P < 0.001), high-sensitive C-reactive protein (P < 0.01), and white blood cell counts (P < 0.01). Higher fasting insulin (P < 0.01) and higher insulin resistance (P < 0.01), assessed by homeostasis model assessment index and visceral adiposity index (P < 0.001), were observed among BED obese. All differences remained significant after adjusting for body mass index. No significant differences in fasting plasma glucose or 2-hour postchallenge plasma glucose were found. Structural equation modeling analysis confirmed the relation between the altered eating behaviors of BED and the metabolic and inflammatory profile.Binge eating disorder obese exhibited an unfavorable metabolic and inflammatory profile, which is related to their characteristic eating habits.
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Affiliation(s)
- Elena Succurro
- From the Department of Medical and Surgical Sciences (ES, MR, GS, FA) and the Department of Health Sciences (CS-G, MC, MR, MA, PDF), University "Magna Graecia" of Catanzaro, Catanzaro, Italy
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Mustelin L, Raevuori A, Hoek HW, Kaprio J, Keski-Rahkonen A. Incidence and weight trajectories of binge eating disorder among young women in the community. Int J Eat Disord 2015; 48:1106-12. [PMID: 25846672 DOI: 10.1002/eat.22409] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/15/2015] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To assess the population prevalence and incidence of binge eating disorder (BED) among young women. METHOD In a nationwide longitudinal study of Finnish twins born 1975-1979, the women participated in five surveys from age 16 until their mid-thirties. At Wave 4 (mean age 24 years), the women (N = 2,825) underwent a 2-stage screening for eating disorders. We assessed the lifetime prevalence, incidence, and clinical characteristics of DSM-5 BED. RESULTS We detected 16 women who met DSM-5 criteria for BED, yielding a lifetime prevalence of 0.7% (95% confidence interval [CI] 0.4-1.2%). The incidence of BED among women between 10 and 24 years of age was 35 (95% CI 20-60) per 100,000 person-years. The mean age of onset of BED was 19 years (range 13-27 years). Of the cases, 13/16 (81%) were currently ill. Duration of illness at the time of assessment ranged from less than a year to 13 years (median 6 years). Of women with BED, only two had a history of other eating disorders, but six had lifetime major depressive disorder. Two-thirds of the women with BED belonged to the highest weight quartile at age 16, and their mean BMI at age 22-27 year was 26.2 kg/m(2) (range 22.1-32.5 kg/m(2)). DISCUSSION Incident BED as defined by DSM-5 was relatively rare among younger women and was often preceded by relative overweight. BED often occurred without a history of other eating disorders, but comorbidity with major depressive disorder was common.
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Affiliation(s)
- Linda Mustelin
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Anu Raevuori
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Adolescent Psychiatry, Helsinki University Central Hospital, Helsinki, Finland.,Institute of Clinical Medicine, Child Psychiatry, University of Turku, Turku, Finland.,Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland
| | - Hans Wijbrand Hoek
- Parnassia Psychiatric Institute, Hague, The Netherlands.,Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands.,Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland.,Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland.,Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
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48
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Abstract
Binge eating is seen across the spectrum of eating disorder diagnoses as well as among individuals who do not meet diagnostic criteria. Analyses of the specific types of foods that are frequently binged upon reveal that sugar-rich items feature prominently in binge-type meals, making the effects of binge consumption of sugar an important focus of study. One avenue to do this involves the use of animal models. Foundational and recent studies of animal models of sugar bingeing, both outlined here, lend insight into the various neurotransmitters and neuropeptides that may participate in or be altered by this behavior. Further, several preclinical studies incorporating sugar bingeing paradigms have explored the utility of pharmacological agents that target such neural systems for reducing sugar bingeing in an effort to enhance clinical treatment. Indeed, the translational implications of findings generated using animal models of sugar bingeing are considered here, along with potential avenues for further study.
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49
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Barber JA, Schumann KP, Foran-Tuller KA, Islam LZ, Barnes RD. Medication Use and Metabolic Syndrome Among Overweight/Obese Patients With and Without Binge-Eating Disorder in a Primary Care Sample. Prim Care Companion CNS Disord 2015; 17:15m01816. [PMID: 26835176 PMCID: PMC4732320 DOI: 10.4088/pcc.15m01816] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Accepted: 06/15/2015] [Indexed: 10/22/2022] Open
Abstract
OBJECTIVE To examine metabolic factors among overweight/obese individuals with binge-eating disorder (BED) and non-binge-eating overweight/obese (NBO) patients recruited from primary care and to examine and compare medication use by these groups. METHOD Participants were 102 adults recruited for a weight loss study within primary care centers who were assessed for BED (28 [38%] met DSM-5 BED criteria). Participants completed a medication log, had physiologic measurements taken, and were evaluated for the presence of metabolic syndrome using 2 methods. Data were collected between February 2012 and October 2012. RESULTS The BED group had a higher mean body mass index (BMI), a higher pulse, and a larger waist circumference than the NBO group. Of the sample, 65% reported current medication use (prescription and/or over-the-counter medications): 19.6% took 3 to 4 medications and 15.7% took ≥ 5 medications. Aside from vitamin and over-the-counter allergy pill use, there were no differences in medication use between BED and NBO patients. Full metabolic syndrome (≥ 3 criteria met) was present in 31.5% of the sample when using objective measurement alone, and 39.1% of the sample when defined by objective measurement and pharmacologic management. No significant differences were observed regardless of definition. CONCLUSIONS Despite higher BMI, pulse, and waist circumference, the current sample of BED patients in primary care did not present with poorer metabolic health than NBO patients.
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Affiliation(s)
- Jessica A. Barber
- Department of Psychology, VA Connecticut Healthcare System, West Haven
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Kristina P. Schumann
- Department of Psychology, VA Connecticut Healthcare System, West Haven
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Kelly A. Foran-Tuller
- Department of Psychology, VA Connecticut Healthcare System, West Haven
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Leila Z. Islam
- Department of Psychology, VA Connecticut Healthcare System, West Haven
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland
| | - Rachel D. Barnes
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
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50
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Micali N, Field AE, Treasure JL, Evans DM. Are obesity risk genes associated with binge eating in adolescence? Obesity (Silver Spring) 2015; 23:1729-36. [PMID: 26193063 PMCID: PMC4660437 DOI: 10.1002/oby.21147] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2015] [Revised: 04/02/2015] [Accepted: 04/08/2015] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Cognitions and behaviors characteristic of binge eating are associated with a polymorphism in the FTO gene, robustly related to body mass index (BMI) and obesity risk. We investigated the association between binge eating and the individual and combined effect of 32 SNPs robustly associated with BMI in a population-based sample. We hypothesized that higher BMI and binge eating might share a common genetic etiology. METHODS Binge eating was assessed in adolescents from the Avon Longitudinal Study of Parents and Children at age 14 (n = 5,958) and 16 years (n = 4,948). We tested associations between 32 BMI-related SNPs and binge eating in crude and BMI-, age-, and gender-adjusted regression models. RESULTS Crude analyses showed an association between binge eating and rs1558902 (FTO) that persisted after adjustment for BMI (OR = 1.20, P = 8 × 10(-3) ). A weighted allelic score consisting of all 32 BMI-related SNPs was associated with binge eating (P = 8 × 10(-4) ); this association attenuated (P = 0.08) when rs1558902 was removed from the weighted allelic score. CONCLUSIONS BMI-related genes are associated with adolescent binge eating, in particular an FTO polymorphism. Although replication is needed, our findings have biological plausibility and are consistent with a postulated effect of FTO on appetite and food intake. Future studies should aim to understand the mechanisms underlying the relationship between FTO, binge eating, and obesity.
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Affiliation(s)
- Nadia Micali
- Population, Policy and Practice Research Programme, Child and Adolescent Mental Health Palliative Care and Pediatrics Section, Institute of Child Health, University College LondonLondon, UK
| | - Alison E Field
- Division of Adolescent Medicine, Department of Medicine, Boston Children's Hospital and Harvard Medical SchoolBoston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical SchoolBoston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public HealthBoston, Massachusetts, USA
| | - Janet L Treasure
- Section of Eating Disorders, Psychological Medicine, King's College London, Institute of PsychiatryLondon, UK
| | - David M Evans
- MRC Integrative Epidemiology Unit, University of BristolUK
- School of Social & Community Medicine, University of BristolBristol, UK
- University of Queensland Diamantina Institute, Translational Research InstituteBrisbane, Queensland, Australia
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