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Sweatt K, Garvey WT, Martins C. Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward? Curr Obes Rep 2024; 13:584-595. [PMID: 38958869 PMCID: PMC11306271 DOI: 10.1007/s13679-024-00580-1] [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] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE OF REVIEW This review aims to discuss strengths and limitations of body mass index (BMI) in diagnosing obesity, the use of alternative anthropometric measurements, and potential new technology that may change the future of obesity diagnosis and management. RECENT FINDINGS The diagnosis of obesity requires the anthropometric assessment of adiposity. In clinical settings, this should include BMI with confirmation that elevated BMI represents excess adiposity and a measure of fat distribution (i.e., waist circumference (WC), waist to height ratio (WHtR), or WC divided by height0.5 (WHR.5R). Digital anthropometry and bioelectric impedance (BIA) can estimate fat distribution and be feasibly employed in the clinic. In addition, the diagnosis should include a clinical component assessing the presence and severity of weight-related complications. As anthropometric measures used in the diagnosis of obesity, BMI is generally sufficient if confirmed to represent excess adiposity, and there are advantages to the use of WHtR over WC to assess fat distribution. BIA and digital anthropometry have the potential to provide accurate measures of fat mass and distribution in clinical settings. There should also be a clinical evaluation for the presence and severity of obesity complications that can be used to stage the disease.
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Affiliation(s)
- Katherine Sweatt
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - Catia Martins
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA.
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2
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Lai CCW, Brooks KR, Boag S. A reply to the commentary on 'The association between gut-health promoting diet and depression: A mediation analysis'. J Affect Disord 2024; 359:403-404. [PMID: 38810778 DOI: 10.1016/j.jad.2024.05.127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 05/24/2024] [Indexed: 05/31/2024]
Affiliation(s)
| | - Kevin R Brooks
- School of Psychological Sciences, Macquarie University, Australia
| | - Simon Boag
- School of Psychological Sciences, Macquarie University, Australia
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3
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Conderino S, Dodson J, Meng Y, Weiner MG, Rabin C, Jacobs W, Bakshi P, Lee M, Uguru J, Thorpe LE. Descriptive Epidemiology of New York City Older Adult Patients With Multiple Chronic Conditions. Prev Chronic Dis 2024; 21:E56. [PMID: 39089737 PMCID: PMC11318948 DOI: 10.5888/pcd21.230444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/04/2024] Open
Abstract
We characterized comorbidity profiles and cardiometabolic risk factors among older adults with multiple chronic conditions (MCCs) in New York City using an intersectionality approach. Electronic health record data were obtained from the INSIGHT Clinical Research Network on 367,901 New York City residents aged 50 years or older with MCCs. Comorbidity profiles were heterogeneous. The most common profile across sex and racial and ethnic groups was co-occurring hypertension and hyperlipidemia; prevalence of these 2 conditions differed across groups (4.7%-7.3% co-occurrence alone, 65.1%-88.0% with other conditions). Significant sex and racial and ethnic differences were observed, which may reflect accumulated disparities in risk factors and health care access across the life course.
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Affiliation(s)
- Sarah Conderino
- Department of Population Health, New York University Grossman School of Medicine, 180 Madison Ave, New York, NY 10016
| | - John Dodson
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Yuchen Meng
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
| | - Mark G Weiner
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Catherine Rabin
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Wilson Jacobs
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | | | - Melissa Lee
- New York City Health and Hospitals, New York, New York
| | - Jenny Uguru
- New York City Health and Hospitals, New York, New York
| | - Lorna E Thorpe
- Department of Population Health, New York University Grossman School of Medicine, New York, New York
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4
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Tan BY, Yang SY, Pereira MJ, Tan CY, Lim CJ, Ng JP, Lee KT, Pua YH, Briggs AM, Hunter DJ, Skou ST, Thumboo J, Car J. Collaborative model of care between orthopaedics and allied healthcare professionals (CONNACT) in knee osteoarthritis: Effectiveness-implementation hybrid randomized controlled trial of a community-based, multidisciplinary, stratified intervention. Osteoarthritis Cartilage 2024; 32:972-981. [PMID: 38710437 DOI: 10.1016/j.joca.2024.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 03/25/2024] [Accepted: 04/09/2024] [Indexed: 05/08/2024]
Abstract
OBJECTIVE To compare the clinical and cost effectiveness of the Collaborative Model of Care between Orthopaedics and Allied Healthcare Professionals (CONNACT), a community-based, stratified, multidisciplinary intervention consisting of exercise, education, psychological and nutrition delivered through a chronic care model to usual hospital care in adults with knee osteoarthritis (OA). METHODS Pragmatic, parallel-arm, single-blinded superiority RCT trial. Community-dwelling, ambulant adults with knee OA (Kellgren-Lawrence grade > 1; Knee Injury and OA Outcome Score (KOOS4) ≤75) were enrolled. Primary outcome was KOOS4 at 12-months; secondary outcomes included: quality of life, physical performance measures, symptom satisfaction, psychological outcomes, dietary habits, and global perceived effect. Intention-to-treat analysis using generalized linear model (GLM) and regression modeling were conducted. Economic evaluation through a societal approach was embedded. RESULTS 110 participants (55 control, 55 intervention) were randomized. No between-group difference found for the primary outcome (MD [95%CI]: -1.86 [-9.11. 5.38]), although both groups demonstrated within-group improvement over 12-months. Among the secondary outcomes, the CONNACT group demonstrated superior dietary change (12 months) and physical performance measures (3 months), and global perceived effect (6 months). While there was no between-group difference in total cost, significant productivity gains (reduced indirect cost) were seen in the CONNACT group. CONCLUSION CONNACT was not superior to usual care at 1 year. Further efforts are needed to understand the underlying contextual and implementation factors in order to further improve and refine such community-based, stratified care models moving forward. TRIAL REGISTRATION Clinicaltrials.gov Identifier: NCT03809975. Registered January 18, 2019. https://clinicaltrials.gov/ct2/show/NCT03809975.
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Affiliation(s)
- Bryan Y Tan
- Department of Orthopaedic Surgery, Woodlands Health, Singapore; Sydney Musculoskeletal Health, Kolling Institute, University of Sydney and Rheumatology Department, Royal North Shore Hospital, Sydney, Australia.
| | - Su-Yin Yang
- Psychology Service, Woodlands Health, Singapore
| | | | - Chun Yue Tan
- Department of Orthopaedic Surgery, Woodlands Health, Singapore
| | - Chien Joo Lim
- Department of Orthopaedic Surgery, Woodlands Health, Singapore
| | - Julia P Ng
- Department of Orthopaedic Surgery, Tan Tock Seng Hospital, Singapore
| | - Keng Thiam Lee
- Department of Orthopaedic Surgery, Tan Tock Seng Hospital, Singapore
| | - Yong Hao Pua
- Department of Physiotherapy, Singapore General Hospital, Singapore
| | - Andrew M Briggs
- Curtin School of Allied Health and Curtin enAble Institute, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - David J Hunter
- Sydney Musculoskeletal Health, Kolling Institute, University of Sydney and Rheumatology Department, Royal North Shore Hospital, Sydney, Australia
| | - Soren T Skou
- Research Unit for Musculoskeletal Function and Physiotherapy, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense M, Denmark; The Research Unit PROgrez, Department of Physiotherapy and Occupational Therapy, Næstved-Slagelse-Ringsted Hospitals, Slagelse, Denmark
| | - Julian Thumboo
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Josip Car
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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5
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Chin GC, Potter AW, Friedl KE. Body mass index is a barrier to obesity treatment. Front Endocrinol (Lausanne) 2024; 15:1444568. [PMID: 39149118 PMCID: PMC11324493 DOI: 10.3389/fendo.2024.1444568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 07/19/2024] [Indexed: 08/17/2024] Open
Abstract
The Food and Drug Administration's (FDA) obesity drug guidance is set on the basis of body mass index (BMI), with thresholds of either BMI ≥30 or BMI ≥27 kg/m2 with weight-related comorbidities. While BMI is associated with obesity-related health outcomes, there are known limitations to use as a direct measure of body fat or metabolic health, and the American Medical Association has highlighted limitations of BMI in assessing individual obesity risks. BMI thresholds impose a barrier to treatment. In a sample from the NHANES dataset (n=6,646 men and women), 36% of individuals with metabolic syndrome (MetS) may not be eligible for obesity pharmacotherapy. This analysis provides quantifiable justification for refinement of the BMI treatment criteria with a more holistic assessment of individual obesity-related disease risk.
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Affiliation(s)
- Geoffrey C Chin
- Thermal and Mountain Medicine Division, United States (U.S.) Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Adam W Potter
- Thermal and Mountain Medicine Division, United States (U.S.) Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Karl E Friedl
- Office of the Senior Scientist, United States (U.S.) Army Research Institute of Environmental Medicine, Natick, MA, United States
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Bajaj SS, Zhong A, Zhang AL, Stanford FC. Body Mass Index Thresholds for Asians: A Race Correction in Need of Correction? Ann Intern Med 2024. [PMID: 39038288 DOI: 10.7326/m24-0161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/24/2024] Open
Affiliation(s)
- Simar S Bajaj
- Harvard University, Cambridge, Massachusetts (S.S.B.)
| | - Anthony Zhong
- Harvard Medical School, Boston, Massachusetts (A.Z., A.L.Z.)
| | - Angela L Zhang
- Harvard Medical School, Boston, Massachusetts (A.Z., A.L.Z.)
| | - Fatima Cody Stanford
- Massachusetts General Hospital, MGH Weight Center, Department of Medicine-Division of Endocrinology-Neuroendocrine, Department of Pediatrics-Division of Endocrinology, Nutrition Obesity Research Center at Harvard (NORCH), Harvard Medical School, Boston, Massachusetts (F.C.S.)
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Bouchi R, Kondo T, Ohta Y, Goto A, Tanaka D, Satoh H, Yabe D, Nishimura R, Harada N, Kamiya H, Suzuki R, Yamauchi T. A consensus statement from the Japan Diabetes Society: A proposed algorithm for pharmacotherapy in people with type 2 diabetes - 2nd edition (English version). J Diabetes Investig 2024. [PMID: 38988282 DOI: 10.1111/jdi.14202] [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: 03/12/2024] [Revised: 03/12/2024] [Accepted: 03/13/2024] [Indexed: 07/12/2024] Open
Abstract
This algorithm was issued for the appropriate use of drugs for the treatment of type 2 diabetes mellitus in Japan. The revisions include safety considerations, fatty liver disease as a comorbidity to be taken into account and the position of tirzepatide.
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Affiliation(s)
- Ryotaro Bouchi
- Diabetes and Metabolism Information Center, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and Endocrinology, Kumamoto University Hospital, Kumamoto, Japan
| | - Yasuharu Ohta
- Division of Endocrinology, Metabolism, Hematological Sciences and Therapeutics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Daisuke Tanaka
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroaki Satoh
- Department of Diabetes and Endocrinology, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Rimei Nishimura
- Division of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan
| | - Norio Harada
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideki Kamiya
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University, Nagakute, Japan
| | - Ryo Suzuki
- Department of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan
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Bouchi R, Kondo T, Ohta Y, Goto A, Tanaka D, Satoh H, Yabe D, Nishimura R, Harada N, Kamiya H, Suzuki R, Yamauchi T. A consensus statement from the Japan Diabetes Society (JDS): a proposed algorithm for pharmacotherapy in people with type 2 diabetes-2nd Edition (English version). Diabetol Int 2024; 15:327-345. [PMID: 39101173 PMCID: PMC11291844 DOI: 10.1007/s13340-024-00723-8] [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: 01/25/2024] [Accepted: 02/08/2024] [Indexed: 08/06/2024]
Abstract
The Japan Diabetes Society (JDS) adopted a sweeping decision to release consensus statements on relevant issues in diabetes management that require updating from time to time and launched a "JDS Committee on Consensus Statement Development." In March 2020, the committee's first consensus statement on "Medical Nutrition Therapy and Dietary Counseling for People with Diabetes" was published. In September 2022, a second consensus "algorithm for pharmacotherapy in people with type 2 diabetes" was proposed. In developing an algorithm for diabetes pharmacotherapy in people with type 2 diabetes, the working concept was that priority should be given to selecting such medications as would appropriately address the diabetes pathology in each patient while simultaneously weighing the available evidence for these medications and the prescribing patterns in clinical practice in Japan. These consensus statements are intended to present the committee's take on diabetes management in Japan, based on the evidence currently available for each of the issues addressed. It is thus hoped that practicing diabetologists will not fail to consult these statements to provide the best available practice in their respective clinical settings. Given that the persistent dual GIP/GLP-1 receptor agonist tirzepatide was approved in April 2023, these consensus statements have been revised1). In this revision, specifically, tirzepatide was added to the end of [likely involving insulin resistance] of "Obese patients" in Step 1: "Select medications to address the diabetes pathology involved" in Fig. 2. While the sentence, "Insulin insufficiency and resistance can be assessed by referring to the various indices listed in the JDS 'Guide to Diabetes Management.' was mentioned in the previous edition as well, "While insulin resistance is analogized based on BMI, abdominal obesity, and visceral fat accumulation, an assessment of indicators (e.g., HOMA-IR) is desirable" was added as information in order to more accurately recognize the pathology. Regarding Step 2: "Give due consideration to safety," "For renal excretion" was added to the "Rule of thumb 2: Avoid glinides in patients with renal impairment." The order of the medications in "rule of thumb 3: Avoid thiazolidinediones and biguanides in patients with heart failure (in whom they are contraindicated)." to thiazolidinediones then biguanides. In the description of the lowest part of Fig. 2, for each patient failing to achieve his/her HbA1c control goal, "while reverting to step 1" was changed to "while reverting to the opening" and "including reassessment if the patient is indicated for insulin therapy" was added. In the separate table, the column for tirzepatides was added, while the two items, "Characteristic side effects" and "Persistence of effect" were added to the area of interest. The revision also carried additional descriptions of the figure and table such as tirzepatides and "Characteristic side effects" in the statement, and while not mentioned in the proposed algorithm figure, nonalcoholic fatty liver disease (NAFLD) is covered from this revision for patients with comorbidities calling for medical attention. Moreover, detailed information was added to the relative/absolute indication for insulin therapy, the Kumamoto Declaration 2013 for glycemic targets, and glycemic targets for older people with diabetes. Again, in this revision, it is hoped that the algorithm presented here will not only contribute to improved diabetes management in Japan, but will continue to evolve into a better algorithm over time, reflecting new evidence as it becomes available.
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Affiliation(s)
- Ryotaro Bouchi
- Diabetes and Metabolism Information Center, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tatsuya Kondo
- Department of Diabetes, Metabolism and Endocrinology, Kumamoto University Hospital, Kumamoto, Japan
| | - Yasuharu Ohta
- Division of Endocrinology, Metabolism, Hematological Sciences and Therapeutics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan
| | - Daisuke Tanaka
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroaki Satoh
- Department of Diabetes and Endocrinology, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Daisuke Yabe
- Department of Diabetes, Endocrinology and Metabolism and Department of Rheumatology and Clinical Immunology, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Rimei Nishimura
- Division of Diabetes, Metabolism and Endocrinology, Jikei University School of Medicine, Tokyo, Japan
| | - Norio Harada
- Department of Diabetes, Endocrinology and Nutrition, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideki Kamiya
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University, Aichi, Japan
| | - Ryo Suzuki
- Department of Diabetes, Metabolism and Endocrinology, Tokyo Medical University, Tokyo, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, University of Tokyo Graduate School of Medicine, Tokyo, Japan
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Samuels JM, Patel MB, Niswender KD. Time to Rethink the Approach to Treating Obesity. JAMA Surg 2024:2820074. [PMID: 38865110 DOI: 10.1001/jamasurg.2024.1502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
This Viewpoint describes potential benefits and hurdles to implementing a more personalized approach to obesity treatment through a comprehensive multidisciplinary evaluation that considers surgical, medical, and combined therapies.
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Affiliation(s)
- Jason M Samuels
- Division of General Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Mayur B Patel
- Division of General Surgery, Department of Surgery, Section of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Kevin D Niswender
- Department of Medicine, Vanderbilt University Medical Center, School of Medicine, Veterans Affairs Tennessee Valley Healthcare System, Nashville, Tennessee
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Yu D, Martin CB, Fryar CD, Hales CM, Eberhardt MS, Carroll MD, Zhao L, Ogden CL. Prevalence of Diabetes by BMI: China Nutrition and Health Surveillance (2015-2017) and U.S. National Health and Nutrition Examination Survey (2015-2018). AJPM FOCUS 2024; 3:100215. [PMID: 38638940 PMCID: PMC11024921 DOI: 10.1016/j.focus.2024.100215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Introduction The risk of diabetes begins at a lower BMI among Asian adults. This study compares the prevalence of diabetes between the U.S. and China by BMI. Methods Data from the 2015-2017 China Nutrition and Health Surveillance (n=176,223) and the 2015-2018 U.S. National Health and Nutrition Examination Survey (n=4,464) were used. Diagnosed diabetes was self-reported. Undiagnosed diabetes was no report of diagnosed diabetes and fasting plasma glucose ≥126 mg/dL or HbA1c ≥6.5%. Predicted age-adjusted prevalence estimates by BMI were produced using sex- and country-specific logistic regression models. Results In China, the age-adjusted prevalence of total diabetes was 7.8% (95% CI=7.4%, 8.3%), lower than the 14.6% (95% CI=13.1%, 16.3%) in the U.S. The prevalence of diagnosed diabetes was also lower in China than in the U.S. There were no statistically significant differences in the prevalence of undiagnosed diabetes between China and the U.S. The distribution of BMI in China was lower than in the U.S., and the predicted prevalence of total diabetes was similar between China and the U.S. when comparing adults with the same BMI. The predicted prevalence of undiagnosed diabetes was higher in China than in the U.S. for both men and women, and this disparity increased with BMI. When comparing adults at the same BMI, there was little difference in the prevalence of total diabetes, but diagnosed diabetes was lower in China than in the U.S., and undiagnosed was higher. Conclusions Although differences in BMI appear to explain nearly all of the differences in total diabetes prevalence in the 2 countries, not all factors that are associated with diabetes risk have been investigated.
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Affiliation(s)
- Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Crescent B. Martin
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Cheryl D. Fryar
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Craig M. Hales
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Mark S. Eberhardt
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Margaret D. Carroll
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Cynthia L. Ogden
- National Center for Health Statistics, U.S. Centers for Disease Control and Prevention, Hyattsville, Maryland
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11
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Qian F, Hu FB. Efficacy of Tirzepatide for Weight Loss in China: Implications for the Global Obesity Epidemic. JAMA 2024:2819437. [PMID: 38819975 DOI: 10.1001/jama.2024.7928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Affiliation(s)
- Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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LeBlanc KE, Baer-Sinnott S, Lancaster KJ, Campos H, Lau KHK, Tucker KL, Kushi LH, Willett WC. Perspective: Beyond the Mediterranean Diet-Exploring Latin American, Asian, and African Heritage Diets as Cultural Models of Healthy Eating. Adv Nutr 2024; 15:100221. [PMID: 38604411 PMCID: PMC11087705 DOI: 10.1016/j.advnut.2024.100221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/13/2024] Open
Abstract
The Mediterranean diet is a well-studied cultural model of healthy eating, yet research on healthy models from other cultures and cuisines has been limited. This perspective article summarizes the components of traditional Latin American, Asian, and African heritage diets, their association with diet quality and markers of health, and implications for nutrition programs and policy. Though these diets differ in specific foods and flavors, we present a common thread that emphasizes healthful plant foods and that is consistent with high dietary quality and low rates of major causes of disability and deaths. In this perspective, we propose that nutrition interventions that incorporate these cultural models of healthy eating show promise, though further research is needed to determine health outcomes and best practices for implementation.
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Affiliation(s)
| | | | - Kristie J Lancaster
- Department of Nutrition and Food Studies, New York University, New York, NY, United States
| | - Hannia Campos
- Department of Nutrition, Harvard University T.H. Chan School of Public Health, Boston, MA, United States
| | | | - Katherine L Tucker
- Department of Biomedical & Nutritional Sciences and Center for Population Health, University of Massachusetts Lowell, Lowell, MA, United States
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Walter C Willett
- Department of Nutrition, Harvard University T.H. Chan School of Public Health, Boston, MA, United States
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Hu L, Wyatt LC, Mohsin F, Lim S, Zanowiak J, Mammen S, Hussain S, Ali SH, Onakomaiya D, Belli HM, Aifah A, Islam NS. Characterizing Technology Use and Preferences for Health Communication in South Asian Immigrants With Prediabetes or Diabetes: Cross-Sectional Descriptive Study. JMIR Form Res 2024; 8:e52687. [PMID: 38669062 PMCID: PMC11087851 DOI: 10.2196/52687] [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: 09/12/2023] [Revised: 03/12/2024] [Accepted: 03/14/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND Type 2 diabetes disproportionately affects South Asian subgroups. Lifestyle prevention programs help prevent and manage diabetes; however, there is a need to tailor these programs for mobile health (mHealth). OBJECTIVE This study examined technology access, current use, and preferences for health communication among South Asian immigrants diagnosed with or at risk for diabetes, overall and by sex. We examined factors associated with interest in receiving diabetes information by (1) text message, (2) online (videos, voice notes, online forums), and (3) none or skipped, adjusting for sociodemographic characteristics and technology access. METHODS We used baseline data collected in 2019-2021 from two clinical trials among South Asian immigrants in New York City (NYC), with one trial focused on diabetes prevention and the other focused on diabetes management. Descriptive statistics were used to examine overall and sex-stratified impacts of sociodemographics on technology use. Overall logistic regression was used to examine the preference for diabetes information by text message, online (videos, voice notes, or forums), and no interest/skipped response. RESULTS The overall sample (N=816) had a mean age of 51.8 years (SD 11.0), and was mostly female (462/816, 56.6%), married (756/816, 92.6%), with below high school education (476/816, 58.3%) and limited English proficiency (731/816, 89.6%). Most participants had a smartphone (611/816, 74.9%) and reported interest in receiving diabetes information via text message (609/816, 74.6%). Compared to male participants, female participants were significantly less likely to own smartphones (317/462, 68.6% vs 294/354, 83.1%) or use social media apps (Viber: 102/462, 22.1% vs 111/354, 31.4%; WhatsApp: 279/462, 60.4% vs 255/354, 72.0%; Facebook: Messenger 72/462, 15.6% vs 150/354, 42.4%). A preference for receiving diabetes information via text messaging was associated with male sex (adjusted odds ratio [AOR] 1.63, 95% CI 1.01-2.55; P=.04), current unemployment (AOR 1.62, 95% CI 1.03-2.53; P=.04), above high school education (AOR 2.17, 95% CI 1.41-3.32; P<.001), and owning a smart device (AOR 3.35, 95% CI 2.17-5.18; P<.001). A preference for videos, voice notes, or online forums was associated with male sex (AOR 2.38, 95% CI 1.59-3.57; P<.001) and ownership of a smart device (AOR 5.19, 95% CI 2.83-9.51; P<.001). No interest/skipping the question was associated with female sex (AOR 2.66, 95% CI 1.55-4.56; P<.001), high school education or below (AOR 2.02, 95% CI 1.22-3.36; P=.01), not being married (AOR 2.26, 95% CI 1.13-4.52; P=.02), current employment (AOR 1.96, 95% CI 1.18-3.29; P=.01), and not owning a smart device (AOR 2.06, 95% CI 2.06-5.44; P<.001). CONCLUSIONS Technology access and social media usage were moderately high in primarily low-income South Asian immigrants in NYC with prediabetes or diabetes. Sex, education, marital status, and employment were associated with interest in mHealth interventions. Additional support to South Asian women may be required when designing and developing mHealth interventions. TRIAL REGISTRATION ClinicalTrials.gov NCT03333044; https://classic.clinicaltrials.gov/ct2/show/NCT03333044, ClinicalTrials.gov NCT03188094; https://classic.clinicaltrials.gov/ct2/show/NCT03188094. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.1186/s13063-019-3711-y.
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Affiliation(s)
- Lu Hu
- Department of Population Health, Center for Healthful Behavior Change, Institute for Excellence in Health Equity, New York University Grossman School of Medicine, New York, NY, United States
| | - Laura C Wyatt
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Farhan Mohsin
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Sahnah Lim
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Jennifer Zanowiak
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Shinu Mammen
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Sarah Hussain
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Shahmir H Ali
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, United States
| | - Deborah Onakomaiya
- Vilcek Institute of Graduate Biomedical Sciences, New York University Grossman School of Medicine, New York, NY, United States
| | - Hayley M Belli
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Angela Aifah
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
| | - Nadia S Islam
- Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States
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14
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Zhu AL, Le AD, Li Y, Palaniappan LP, Srinivasan M, Shah NS, Wong SS, Valero‐Elizondo J, Elfassy T, Yang E. Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups. J Am Heart Assoc 2024; 13:e032509. [PMID: 38567660 PMCID: PMC11262505 DOI: 10.1161/jaha.123.032509] [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: 09/03/2023] [Accepted: 01/30/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND Social determinants of health (SDOH) play a significant role in the development of cardiovascular risk factors. We investigated SDOH associations with cardiovascular risk factors among Asian American subgroups. METHODS AND RESULTS We utilized the National Health Interview Survey, a nationally representative survey of US adults, years 2013 to 2018. SDOH variables were categorized into economic stability, neighborhood and social cohesion, food security, education, and health care utilization. SDOH score was created by categorizing 27 SDOH variables as 0 (favorable) or 1 (unfavorable). Self-reported cardiovascular risk factors included diabetes, high cholesterol, high blood pressure, obesity, insufficient physical activity, suboptimal sleep, and nicotine exposure. Among 6395 Asian adults aged ≥18 years, 22.1% self-identified as Filipino, 21.6% as Asian Indian, 21.0% as Chinese, and 35.3% as other Asian. From multivariable-adjusted logistic regression models, each SD increment of SDOH score was associated with higher odds of diabetes among Chinese (odds ratio [OR], 1.45; 95% CI, 1.04-2.03) and Filipino (OR, 1.24; 95% CI, 1.02-1.51) adults; high blood pressure among Filipino adults (OR, 1.28; 95% CI, 1.03-1.60); insufficient physical activity among Asian Indian (OR, 1.42; 95% CI, 1.22-1.65), Chinese (OR, 1.58; 95% CI, 1.33-1.88), and Filipino (OR, 1.24; 95% CI, 1.06-1.46) adults; suboptimal sleep among Asian Indian adults (OR, 1.20; 95% CI, 1.01-1.42); and nicotine exposure among Chinese (OR, 1.56; 95% CI, 1.15-2.11) and Filipino (OR, 1.50; 95% CI, 1.14-1.97) adults. CONCLUSIONS Unfavorable SDOH are associated with higher odds of cardiovascular risk factors in Asian American subgroups. Culturally specific interventions addressing SDOH may help improve cardiovascular health among Asian Americans.
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Affiliation(s)
- Alicia L. Zhu
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- College of Arts and Sciences, School of Global Public HealthNew York UniversityNew YorkNY
| | - Austin D. Le
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Environmental Health Sciences DivisionUniversity of California, Berkeley, School of Public HealthBerkeleyCA
| | - Yuemeng Li
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Nell Hodgson Woodruff School of NursingEmory UniversityAtlantaGA
| | - Latha P. Palaniappan
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Division of Primary Care and Population HealthStanford University School of MedicineStanfordCA
| | - Malathi Srinivasan
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Division of Primary Care and Population HealthStanford University School of MedicineStanfordCA
| | - Nilay S. Shah
- Departments of Medicine (Cardiology) and Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIL
| | - Sally S. Wong
- American Heart Association, Office of Science, Medicine, and HealthDallasTX
| | - Javier Valero‐Elizondo
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart and Vascular CenterHoustonTX
| | - Tali Elfassy
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Department of Medicine, Division of Nephrology and HypertensionUniversity of Miami Miller School of MedicineMiamiFL
| | - Eugene Yang
- Stanford University Center for Asian Healthcare Research and EducationStanfordCA
- Division of CardiologyUniversity of Washington School of MedicineSeattleWA
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15
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Smith K, Deutsch AJ, McGrail C, Kim H, Hsu S, Huerta-Chagoya A, Mandla R, Schroeder PH, Westerman KE, Szczerbinski L, Majarian TD, Kaur V, Williamson A, Zaitlen N, Claussnitzer M, Florez JC, Manning AK, Mercader JM, Gaulton KJ, Udler MS. Multi-ancestry polygenic mechanisms of type 2 diabetes. Nat Med 2024; 30:1065-1074. [PMID: 38443691 PMCID: PMC11175990 DOI: 10.1038/s41591-024-02865-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/06/2024] [Indexed: 03/07/2024]
Abstract
Type 2 diabetes (T2D) is a multifactorial disease with substantial genetic risk, for which the underlying biological mechanisms are not fully understood. In this study, we identified multi-ancestry T2D genetic clusters by analyzing genetic data from diverse populations in 37 published T2D genome-wide association studies representing more than 1.4 million individuals. We implemented soft clustering with 650 T2D-associated genetic variants and 110 T2D-related traits, capturing known and novel T2D clusters with distinct cardiometabolic trait associations across two independent biobanks representing diverse genetic ancestral populations (African, n = 21,906; Admixed American, n = 14,410; East Asian, n =2,422; European, n = 90,093; and South Asian, n = 1,262). The 12 genetic clusters were enriched for specific single-cell regulatory regions. Several of the polygenic scores derived from the clusters differed in distribution among ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a body mass index (BMI) of 30 kg m-2 in the European subpopulation and 24.2 (22.9-25.5) kg m-2 in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1-30.0) kg m-2 in the East Asian group. Thus, these multi-ancestry T2D genetic clusters encompass a broader range of biological mechanisms and provide preliminary insights to explain ancestry-associated differences in T2D risk profiles.
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Affiliation(s)
- Kirk Smith
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aaron J Deutsch
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carolyn McGrail
- Biomedical Sciences Graduate Program, University of California, San Diego, La Jolla, CA, USA
| | - Hyunkyung Kim
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah Hsu
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Alicia Huerta-Chagoya
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ravi Mandla
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Philip H Schroeder
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth E Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Lukasz Szczerbinski
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Timothy D Majarian
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
- Vertex Pharmaceuticals, Boston, MA, USA
| | - Varinderpal Kaur
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alice Williamson
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Noah Zaitlen
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Computational Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Melina Claussnitzer
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Alisa K Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M Mercader
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kyle J Gaulton
- Department of Pediatrics, University of California, San Diego, San Diego, CA, USA
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
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16
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Elfassy T, Juul F, Mesa RA, Palaniappan L, Srinivasan M, Yi SS. Associations Between Ultra-processed Food Consumption and Cardiometabolic Health Among Older US Adults: Comparing Older Asian Americans to Older Adults From Other Major Race-Ethnic Groups. Res Aging 2024; 46:228-240. [PMID: 38128550 DOI: 10.1177/01640275231222928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Using data from the National Health and Nutrition Examination Survey (2001-2018; N = 19,602), this study examined whether ultra-processed food (UPF) consumption is associated with cardiometabolic health (obesity, hypertension, high cholesterol, and diabetes), among White, Black, Hispanic, and Asian Americans (AA) US adults 50 or older. Diet was assessed using 24 hour dietary recall. NOVA dietary classification system was used to calculate the percentage of caloric intake derived from UPFs. Cardiometabolic information was assessed through physical examination, blood tests, and self-reported medication information. A median of 54% (IQR: 40%, 68%) of caloric intake was attributed to UPFs and was lowest for AAs (34%, IQR: 20%, 49%) and highest for White adults (56%; IQR: 42, 69%). In multivariable adjusted models, UPF consumption was associated with greater odds of obesity, high cholesterol, and diabetes. UPF consumption is associated with poor cardiometabolic health among all US older adults. For AAs, UPFs may be particularly obesogenic.
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Affiliation(s)
- Tali Elfassy
- Katz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Filippa Juul
- Department of Public Health Policy and Management, New York University School of Global Public Health, New York, NY, USA
| | - Robert A Mesa
- Division of Epidemiology, Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Latha Palaniappan
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
- Center for Asian Health Research and Education (CARE), Stanford University School of Medicine, Palo Alto, CA, USA
| | - Malathi Srinivasan
- Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
- Center for Asian Health Research and Education (CARE), Stanford University School of Medicine, Palo Alto, CA, USA
| | - Stella S Yi
- Center for the Study of Asian American Health, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA
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Kuang W, Raven LM, Muir CA. Early post-transplant hyperglycemia and post-transplant diabetes mellitus following heart transplantation. Expert Rev Endocrinol Metab 2024; 19:129-140. [PMID: 38251642 DOI: 10.1080/17446651.2024.2307011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/15/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION Heart transplantation is an important treatment for end-stage heart failure. Early post-transplant hyperglycemia (EPTH) and post-transplant diabetes mellitus (PTDM) are common following heart transplantation and are associated with increased morbidity and mortality. AREAS COVERED This review summarizes the clinical characteristics, diagnosis, and treatment of EPTH and PTDM in cardiac transplant patients, incorporating findings from non-cardiac solid organ transplant studies where relevant due to limited heart-specific research. EXPERT OPINION EPTH following heart transplantation is common yet understudied and is associated with the later development of PTDM. PTDM is associated with adverse outcomes including infection, renal dysfunction, microvascular disease, and an increased risk of re-transplantation and mortality. Risk factors for EPTH include the post-operative immunosuppression regimen, recipient and donor age, body mass index, infections, and chronic inflammation. Early insulin treatment is recommended for EPTH, whereas PTDM management is varied and includes lifestyle modification, anti-glycemic agents, and insulin. Given the emerging evidence on the transplant benefits associated with effective glucose control, and the cardioprotective potential of newer anti-glycemic agents, further focus on the management of EPTH and PTDM within heart transplant recipients is imperative.
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Affiliation(s)
- William Kuang
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
| | - Lisa M Raven
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Christopher A Muir
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
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18
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Chiu HH, Villanueva E, Larrazabal R, Arcellana AE, Jimeno C. Characteristics and Prevalence of Metabolic Syndrome Among Adult Filipinos with Hypothyroidism: A Cross-sectional Study. J ASEAN Fed Endocr Soc 2024; 39:53-60. [PMID: 38863914 PMCID: PMC11163316 DOI: 10.15605/jafes.039.01.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/30/2023] [Indexed: 06/13/2024] Open
Abstract
Objectives We determined the clinical characteristics and prevalence of metabolic syndrome among adult Filipinos with overt hypothyroidism. Methodology This is a cross-sectional study of 151 adults. Patients were recruited by sequential enrollment. Anthropometric and blood pressure measurements were performed followed by blood extraction for metabolic parameters and thyroid function tests. Clinical and laboratory characteristics were compared between patients with and without metabolic syndrome. Results The prevalence of metabolic syndrome is 40.4% (95%CI: 32.5%, 48.7%). Patients with metabolic syndrome have a waist circumference of 88.4 ± 7.7 cm in females and 93.3 ± 9.0 cm in males. The median fasting blood glucose was 111.4 (52.2) mg/dL, median systolic blood pressure of 120 (30) mm Hg and diastolic blood pressure of 80 (20) mmHg, median serum triglycerides of 174.3 (114.2) mg/dL, median HDL-C of 42.3 (19.2) mg/dL and a proportion of patients with diabetes (23.0%) and hypertension (44.3%), respectively. The presence of increased waist circumference is the most prevalent component seen among hypothyroid patients. There were no differences in terms of age, sex, etiology of hypothyroidism and anti-TPO levels in those with and without metabolic syndrome. Conclusion The prevalence of metabolic syndrome in adult Filipinos with hypothyroidism is high. Emphasis must be placed on early screening using waist circumference and metabolic parameters among hypothyroid patients who are at high risk of developing metabolic syndrome.
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Affiliation(s)
- Harold Henrison Chiu
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Philippine General Hospital, University of the Philippines Manila
- Department of Biochemistry and Molecular Biology, UP College of Medicine, University of the Philippines Manila
- Section of Endocrinology, Department of Internal Medicine, Cardinal Santos Medical Center
| | - Emilio Villanueva
- Department of Pathology, College of Medicine, University of the Philippines Manila
| | - Ramon Larrazabal
- Department of Medicine, Philippine General Hospital, University of the Philippines Manila
| | - Anna Elvira Arcellana
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Philippine General Hospital, University of the Philippines Manila
| | - Cecilia Jimeno
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Philippine General Hospital, University of the Philippines Manila
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Kerlikowske K, Chen S, Bissell MCS, Lee CI, Tice JA, Sprague BL, Miglioretti DL. Population Attributable Risk of Advanced-Stage Breast Cancer by Race and Ethnicity. JAMA Oncol 2024; 10:167-175. [PMID: 38060241 PMCID: PMC10704341 DOI: 10.1001/jamaoncol.2023.5242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/31/2023] [Indexed: 12/08/2023]
Abstract
Importance Advanced-stage breast cancer rates vary by race and ethnicity, with Black women having a 2-fold higher rate than White women among regular screeners. Clinical risk factors that explain a large proportion of advanced breast cancers by race and ethnicity are unknown. Objective To evaluate the population attributable risk proportions (PARPs) for advanced-stage breast cancer (prognostic pathologic stage IIA or higher) associated with clinical risk factors among routinely screened premenopausal and postmenopausal women by race and ethnicity. Design, Setting, and Participants This cohort study used data collected prospectively from Breast Cancer Surveillance Consortium community-based breast imaging facilities from January 2005 to June 2018. Participants were women aged 40 to 74 years undergoing 3 331 740 annual (prior screening within 11-18 months) or biennial (prior screening within 19-30 months) screening mammograms associated with 1815 advanced breast cancers diagnosed within 2 years of screening examinations. Data analysis was performed from September 2022 to August 2023. Exposures Heterogeneously or extremely dense breasts, first-degree family history of breast cancer, overweight/obesity (body mass index >25.0), history of benign breast biopsy, and screening interval (biennial vs annual) stratified by menopausal status and race and ethnicity (Asian or Pacific Islander, Black, Hispanic/Latinx, White, other/multiracial). Main Outcomes and Measures PARPs for advanced breast cancer. Results Among 904 615 women, median (IQR) age was 57 (50-64) years. Of the 3 331 740 annual or biennial screening mammograms, 10.8% were for Asian or Pacific Islander women; 9.5% were for Black women; 5.3% were for Hispanic/Latinx women; 72.0% were for White women; and 2.0% were for women of other races and ethnicities, including those who were Alaska Native, American Indian, 2 or more reported races, or other. Body mass index PARPs were larger for postmenopausal vs premenopausal women (30% vs 22%) and highest for postmenopausal Black (38.6%; 95% CI, 32.0%-44.8%) and Hispanic/Latinx women (31.8%; 95% CI, 25.3%-38.0%) and premenopausal Black women (30.3%; 95% CI, 17.7%-42.0%), with overall prevalence of having overweight/obesity highest in premenopausal Black (84.4%) and postmenopausal Black (85.1%) and Hispanic/Latinx women (72.4%). Breast density PARPs were larger for premenopausal vs postmenopausal women (37% vs 24%, respectively) and highest among premenopausal Asian or Pacific Islander (46.6%; 95% CI, 37.9%-54.4%) and White women (39.8%; 95% CI, 31.7%-47.3%) whose prevalence of dense breasts was high (62%-79%). For premenopausal and postmenopausal women, PARPs were small for family history of breast cancer (5%-8%), history of breast biopsy (7%-12%), and screening interval (2.1%-2.3%). Conclusions and Relevance In this cohort study among routinely screened women, the proportion of advanced breast cancers attributed to biennial vs annual screening was small. To reduce the number of advanced breast cancer diagnoses, primary prevention should focus on interventions that shift patients with overweight and obesity to normal weight.
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Affiliation(s)
- Karla Kerlikowske
- Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco
- General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco
| | - Shuai Chen
- Department of Public Health Sciences, University of California, Davis
| | - Michael C. S. Bissell
- Department of Public Health Sciences, University of California, Davis
- PicnicHealth, San Francisco, California
| | - Christoph I. Lee
- Department of Radiology, University of Washington, Fred Hutchinson Cancer Center, Seattle
| | - Jeffrey A. Tice
- Departments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco
| | - Brian L. Sprague
- Departments of Surgery and Radiology, University of Vermont, Burlington
| | - Diana L. Miglioretti
- Department of Public Health Sciences, University of California, Davis
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle
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Yamamoto N, Ejima K, Mestre LM, Owora AH, Inoue M, Tsugane S, Sawada N. Body mass index trajectories and mortality risk in Japan using a population-based prospective cohort study: the Japan Public Health Center-based Prospective Study. Int J Epidemiol 2024; 53:dyad145. [PMID: 37878816 PMCID: PMC10859135 DOI: 10.1093/ije/dyad145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Recent studies have found that long-term changes in weight during adulthood are associated with a high risk of mortality. The objective of this study was to characterize body mass index (BMI) trajectories during adulthood and to examine the association between BMI trajectories and risk of death in the Japanese population. METHODS The data were extracted from Japan Public Health Center-based Prospective Study-a population-based prospective cohort study in Japan with participants aged 40-69 years followed over 20 years. The participants were categorized into multiple BMI trajectory groups using the latent class growth model. The Cox proportional-hazards model was conducted using all-cause mortality and cause-specific mortality as outcomes and the identified BMI trajectory groups as a predictor. In total, 65 520 participants were included in the analysis. RESULTS Six BMI trajectory groups were identified: underweight stable (Group 1), low-to-high normal (Group 2), high-to-low normal (Group 3), normal to overweight (Group 4), overweight to normal (Group 5) and normal to obese (Group 6). Our Cox models showed a higher hazard (risk) of all-cause mortality among participants in the BMI-declining groups [Group 3, adjusted hazard ratio (aHR): 1.10, 95% CI: 1.05-1.16; Group 5, aHR: 1.16, 95% CI: 1.08-1.26], underweight stable group (Group 1, aHR: 1.27, 95% CI: 1.21-1.33) and normal to obese group (Group 6, aHR: 1.22, 95% CI: 1.13-1.33) than Group 2 (low-to-high normal BMI trajectory). CONCLUSIONS Stable underweight and weight loss were associated with a high risk of mortality, both of which were uniquely observed in a Japanese population.
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Affiliation(s)
- Nao Yamamoto
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA
| | - Keisuke Ejima
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Luis M Mestre
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Arthur H Owora
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA
- Department of Pediatrics, Indiana University School of Medicine-Indianapolis, Indianapolis, IN, USA
| | - Manami Inoue
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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21
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Kanaya AM. Diabetes in South Asians: Uncovering Novel Risk Factors With Longitudinal Epidemiologic Data: Kelly West Award Lecture 2023. Diabetes Care 2024; 47:7-16. [PMID: 38117990 PMCID: PMC10733655 DOI: 10.2337/dci23-0068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 10/03/2023] [Indexed: 12/22/2023]
Abstract
South Asian populations have a higher prevalence and earlier age of onset of type 2 diabetes and atherosclerotic cardiovascular diseases than other race and ethnic groups. To better understand the pathophysiology and multilevel risk factors for diabetes and cardiovascular disease, we established the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study in 2010. The original MASALA study cohort (n = 1,164) included 83% Asian Indian immigrants, with an ongoing expansion of the study to include individuals of Bangladeshi and Pakistani origin. We have found that South Asian Americans in the MASALA study had higher type 2 diabetes prevalence, lower insulin secretion, more insulin resistance, and an adverse body composition with higher liver and intermuscular fat and lower lean muscle mass compared with four other U.S. race and ethnic groups. MASALA study participants with diabetes were more likely to have the severe hyperglycemia subtype, characterized by β-cell dysfunction and lower body weight, and this subtype was associated with a higher incidence of subclinical atherosclerosis. We have found several modifiable factors for cardiometabolic disease among South Asians including diet and physical activity that can be influenced using specific social network members and with cultural adaptations to the U.S. context. Longitudinal data with repeat cardiometabolic measures that are supplemented with qualitative and mixed-method approaches enable a deeper understanding of disease risk and resilience factors. Studying and contrasting Asian American subgroups can uncover the causes for cardiometabolic disease heterogeneity and reveal novel methods for prevention and treatment.
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Affiliation(s)
- Alka M. Kanaya
- Division of General Internal Medicine, Departments of Medicine, Epidemiology, and Biostatistics, University of California, San Francisco, San Francisco, CA
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22
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Zhao L, Zhou X, Chen Y, Dong Q, Zheng Q, Wang Y, Li L, Zhao D, Ji B, Xu F, Shi J, Peng Y, Zhang Y, Dai Y, Ke T, Wang W. Association of visceral fat area or BMI with arterial stiffness in ideal cardiovascular health metrics among T2DM patients. J Diabetes 2024; 16:e13463. [PMID: 37680102 PMCID: PMC10809303 DOI: 10.1111/1753-0407.13463] [Citation(s) in RCA: 2] [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: 09/24/2022] [Revised: 07/09/2023] [Accepted: 08/04/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND "Obesity paradox" occurs in type 2 diabetes mellitus (T2DM) patients when body mass index (BMI) is applied to define obesity. We examined the association of visceral fat area (VFA) as an obesity measurement with arterial stiffness in seven ideal cardiovascular health metrics (ICVHMs). METHODS A total of 29 048 patients were included in the analysis from June 2017 to April 2021 in 10 sites of National Metabolic Management Centers. ICVHMs were modified from the recommendations of the American Heart Association. Brachial-ankle pulse wave velocity (BaPWV) ≥ 1400 cm/s was employed to evaluate increased arterial stiffness. Multivariate regression models were used to compare the different effects of BMI and VFA on arterial stiffness. RESULTS Lower VFA was more strongly associated with low BaPWV than lower BMI when other ICVHMs were included (adjusted odds ratio [OR], 0.85 [95% confidence interval [CI], 0.80-0.90] vs OR 1.08 [95% CI, 1.00-1.17]). Multivariable-adjusted ORs for arterial stiffness were highest in patients with the VAT area VFA in the range of 150-200 cm2 (adjusted OR, 1.26 [95% CI 1.12-1.41]). Compared with participants with VAT VFA < 100 cm2 , among participants with higher VAT VFA, the OR for arterial stiffness decreased gradually from 1.89 (95% CI, 1.73-2.07) in patients who had ≤1 ICVHM to 0.39 (95% CI, 0.25-0.62) in patients who had ≥5 ICVHMs. CONCLUSION In patients with T2DM, using VAT for anthropometric measures of obesity, VFA was more relevant to cardiovascular risk than BMI in the seven ICVHMs. For anthropometric measures of obesity in the ICVHMs to describe cardiovascular risk VFA would be more optimal than BMI.
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Affiliation(s)
- Ling Zhao
- Department of EndocrinologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Xiangming Zhou
- Department of EndocrinologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Yufei Chen
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic DiseasesKey Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor,State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qijuan Dong
- Department of EndocrinologyPeople's Hospital of Zhengzhou Affiliated Henan University of Chinese MedicinezhengzhouChina
| | - Qidong Zheng
- Department of Internal MedicineThe Second People's Hospital of YuhuanYuhuanChina
| | - Yufan Wang
- Department of Endocrinology and MetabolismShanghai General Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Li Li
- Department of EndocrinologyNingbo First HospitalNingboChina
| | - Dong Zhao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe HospitalCapital Medical UniversityBeijingChina
| | - Bangqun Ji
- Department of EndocrinologyXingyi People's HospitalXingyiChina
| | - Fengmei Xu
- Department of Endocrinology and MetabolismHebi Coal (group). LTD. General HospitalHebiChina
| | - Juan Shi
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic DiseasesKey Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor,State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ying Peng
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic DiseasesKey Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor,State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yifei Zhang
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic DiseasesKey Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor,State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuancheng Dai
- Department of Internal Medicine of Traditional Chinese MedicineSheyang Diabetes HospitalYanchengChina
| | - Tingyu Ke
- Department of EndocrinologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic DiseasesKey Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor,State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
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23
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O'Brien MJ, Bailey SC, Gregory DL, Owen AL, Khan SS, Ackermann RT, Hassan A, Mohanty N, Bowen ME. Screening for Prediabetes and Diabetes in a National Network of Federally Qualified Health Centers: An Observational Study. J Gen Intern Med 2023; 38:3541-3548. [PMID: 37731136 PMCID: PMC10713898 DOI: 10.1007/s11606-023-08402-1] [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: 03/03/2023] [Accepted: 08/28/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended screening for prediabetes and diabetes among adults aged 35-70 years with overweight or obesity. Studying dysglycemia screening in federally qualified health centers (FQHCs) that serve vulnerable patient populations is needed to understand health equity implications of this recommendation. OBJECTIVE To investigate screening practices among FQHC patients who would be eligible according to the 2021 USPSTF recommendation. DESIGN Retrospective cohort study analyzing electronic health records from a national network of 282 FQHC sites. PARTICIPANTS We included 183,329 patients without prior evidence of prediabetes or diabetes, who had ≥ 1 office visit from 2018-2020. MAIN MEASURES Screening eligibility was based on age and measured body mass index (BMI). The primary outcome, screening completion, was ascertained using hemoglobin A1c or fasting plasma glucose results from 2018-2020. KEY RESULTS Among 89,543 patients who would be eligible according to the 2021 USPSTF recommendation, 53,263 (59.5%) were screened. Those who completed screening had higher BMI values than patients who did not (33.0 ± 6.7 kg/m2 vs. 31.9 ± 6.2 kg/m2, p < 0.001). Adults aged 50-64 years had greater odds of screening completion relative to younger patients (OR 1.13, 95% CI: 1.10-1.17). Patients from racial and ethnic minority groups, as well as those without health insurance, were more likely to complete screening than White patients and insured patients, respectively. Clinical risk factors for diabetes were also associated with dysglycemia screening. Among patients who completed screening, 23,588 (44.3%) had values consistent with prediabetes or diabetes. CONCLUSIONS Over half of FQHC patients who would be eligible according to the 2021 USPSTF recommendation were screened. Screening completion was higher among middle-aged patients, those with greater BMI values, as well as vulnerable groups with a high risk of developing diabetes. Future research should examine adoption of the 2021 USPSTF screening recommendation and its impact on health equity.
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Affiliation(s)
- Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, Suite 680, Chicago, IL, 60611, USA.
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Stacy C Bailey
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, Suite 680, Chicago, IL, 60611, USA
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Dyanna L Gregory
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, Suite 680, Chicago, IL, 60611, USA
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andrew L Owen
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ronald T Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, Suite 680, Chicago, IL, 60611, USA
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Nivedita Mohanty
- AllianceChicago, Chicago, IL, USA
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Michael E Bowen
- Division of General Internal Medicine, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
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24
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Ohno R, Kaneko H, Ueno K, Aoki H, Okada A, Kamiya K, Suzuki Y, Matsuoka S, Fujiu K, Takeda N, Jo T, Ako J, Morita H, Node K, Yasunaga H, Komuro I. Association of Body Mass Index and Its Change With Incident Diabetes Mellitus. J Clin Endocrinol Metab 2023; 108:3145-3153. [PMID: 37350488 DOI: 10.1210/clinem/dgad374] [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: 04/15/2023] [Revised: 06/01/2023] [Accepted: 06/20/2023] [Indexed: 06/24/2023]
Abstract
CONTEXT There have been insufficient data on the threshold of body mass index (BMI) for developing diabetes mellitus (DM) and the relationship between change in BMI and the subsequent risk of DM. OBJECTIVE We sought to clarify the association of BMI and its change with incident DM. METHODS We conducted a retrospective observational cohort study using the JMDC Claims Database between 2005 and 2021. We included 3 400 303 individuals without a prior history of DM or usage of glucose-lowering medications. The median age was 44 years, and 57.5% were men. We categorized the study participants into 4 groups: underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5-24.9 kg/m2), overweight (BMI 25.0-29.9 kg/m2), and obese (BMI ≥ 30 kg/m2). According to the change in BMI from the initial health check-up to the health check-up 1 year after that, we divided the study participants into 3 groups: ≤-5.0%, -5.0% to +5.0%, and ≥+5.0%. RESULTS The risk of developing DM increased steeply after BMI exceeded approximately 20 to 21 kg/m2. Compared with participants with stable BMI (-5.0% to +5.0%), the relative risk for DM among those whose BMI had increased by 5.0% or more was 1.33 (95% CI 1.31-1.36). In contrast, the relative risk for DM among those whose BMI decreased by 5.0% or more was 0.82 (95% CI 0.80-0.84). Moreover, people classified as normal weight, overweight, and obese reduced the risk of developing DM when they reduced their BMI, whereas the risk of developing DM for people classified as underweight increased when they reduced their BMI. CONCLUSION Our findings offer novel insights into improving an optimal bodyweight management strategy to prevent the development of DM.
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Affiliation(s)
- Ryusei Ohno
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidehiro Kaneko
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- The Department of Advanced Cardiology, The University of Tokyo, Toyo, Japan
| | - Kensuke Ueno
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- Department of Rehabilitation Sciences, Graduate School of Medical Sciences, Kitasato University, Kanagawa, Japan
| | - Hiroyuki Aoki
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kentaro Kamiya
- Department of Rehabilitation, School of Allied Health Sciences, Kitasato University, Kanagawa, Japan
| | - Yuta Suzuki
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Satoshi Matsuoka
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- Department of Cardiology, New Tokyo Hospital, Matsudo, Japan
| | - Katsuhito Fujiu
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- The Department of Advanced Cardiology, The University of Tokyo, Toyo, Japan
| | - Norifumi Takeda
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Taisuke Jo
- The Department of Health Services Research, The University of Tokyo, Tokyo, Japan
| | - Junya Ako
- Department of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan
| | - Hiroyuki Morita
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Saga, Japan
| | - Hideo Yasunaga
- The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Issei Komuro
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
- International University of Health and Welfare, Tokyo, Japan
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25
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Davidson JC, Kent BV, Cozier YC, Kanaya AM, Warner ET, Eliassen AH, Williams DR, Shields AE. "Does Religious Service Attendance Modify the Relationship between Everyday Discrimination and Risk of Obesity? Results from the Study on Stress, Spirituality and Health". J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01765-5. [PMID: 37921946 PMCID: PMC11065965 DOI: 10.1007/s40615-023-01765-5] [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: 10/28/2022] [Revised: 07/18/2023] [Accepted: 08/15/2023] [Indexed: 11/05/2023]
Abstract
This study examined the association of everyday discrimination with risk of obesity and the potential modifying effect of religious service attendance. Participants included Black, South Asian, and white women in three cohort studies that belong to the Study on Stress, Spirituality and Health. Logistic regression models estimated odds of obesity classification (BMI ≥ 30) relative to experiences of everyday discrimination. In initial pooled analyses, high levels of discrimination were related to increased odds of obesity. Race-specific analyses revealed marginal associations for white and South Asian women. Among Black women, high levels of discrimination and religious service attendance were both associated with higher odds of obesity. However, among women who attended religious services frequently, higher levels of everyday discrimination were associated with slightly lower odds of obesity. These findings underline the complex association between obesity and religion/spirituality, suggesting that higher levels of discrimination may uniquely activate religious resources or coping strategies. Findings highlight the need for additional studies to examine the impact of everyday discrimination on risk of obesity across racial/ethnic communities and how religious practices or coping strategies might affect these dynamics.
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Affiliation(s)
- James Clark Davidson
- Massachussetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Westmont College, Santa Barbara, CA, USA.
| | - Blake Victor Kent
- Massachussetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Westmont College, Santa Barbara, CA, USA
| | - Yvette C Cozier
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Boston University School of Public Health, Boston, MA, USA
| | - Alka M Kanaya
- University of California San Francisco, San Francisco, CA, USA
| | - Erica T Warner
- Massachussetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - A Heather Eliassen
- Harvard Medical School, Boston, MA, USA
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Alexandra E Shields
- Massachussetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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26
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O’Brien MJ, Zhang Y, Bailey SC, Khan SS, Ackermann RT, Ali MK, Bowen ME, Benoit SR, Imperatore G, Holliday CS, McKeever Bullard K. Clinical performance and health equity implications of the American Diabetes Association's 2023 screening recommendation for prediabetes and diabetes. Front Endocrinol (Lausanne) 2023; 14:1279348. [PMID: 37900145 PMCID: PMC10611495 DOI: 10.3389/fendo.2023.1279348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 09/21/2023] [Indexed: 10/31/2023] Open
Abstract
Introduction The American Diabetes Association (ADA) recommends screening for prediabetes and diabetes (dysglycemia) starting at age 35, or younger than 35 years among adults with overweight or obesity and other risk factors. Diabetes risk differs by sex, race, and ethnicity, but performance of the recommendation in these sociodemographic subgroups is unknown. Methods Nationally representative data from the National Health and Nutrition Examination Surveys (2015-March 2020) were analyzed from 5,287 nonpregnant US adults without diagnosed diabetes. Screening eligibility was based on age, measured body mass index, and the presence of diabetes risk factors. Dysglycemia was defined by fasting plasma glucose ≥100mg/dL (≥5.6 mmol/L) or haemoglobin A1c ≥5.7% (≥39mmol/mol). The sensitivity, specificity, and predictive values of the ADA screening criteria were examined by sex, race, and ethnicity. Results An estimated 83.1% (95% CI=81.2-84.7) of US adults were eligible for screening according to the 2023 ADA recommendation. Overall, ADA's screening criteria exhibited high sensitivity [95.0% (95% CI=92.7-96.6)] and low specificity [27.1% (95% CI=24.5-29.9)], which did not differ by race or ethnicity. Sensitivity was higher among women [97.8% (95% CI=96.6-98.6)] than men [92.4% (95% CI=88.3-95.1)]. Racial and ethnic differences in sensitivity and specificity among men were statistically significant (P=0.04 and P=0.02, respectively). Among women, guideline performance did not differ by race and ethnicity. Discussion The ADA screening criteria exhibited high sensitivity for all groups and was marginally higher in women than men. Racial and ethnic differences in guideline performance among men were small and unlikely to have a significant impact on health equity. Future research could examine adoption of this recommendation in practice and examine its effects on treatment and clinical outcomes by sex, race, and ethnicity.
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Affiliation(s)
- Matthew J. O’Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, IL, United States
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Yan Zhang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Stacy C. Bailey
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sadiya S. Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Ronald T. Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
- Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, IL, United States
| | - Mohammed K. Ali
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, United States
| | - Michael E. Bowen
- Division of General Internal Medicine, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
- Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Stephen R. Benoit
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Christopher S. Holliday
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Kai McKeever Bullard
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, United States
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Smith K, Deutsch AJ, McGrail C, Kim H, Hsu S, Mandla R, Schroeder PH, Westerman KE, Szczerbinski L, Majarian TD, Kaur V, Williamson A, Claussnitzer M, Florez JC, Manning AK, Mercader JM, Gaulton KJ, Udler MS. Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity. RESEARCH SQUARE 2023:rs.3.rs-3399145. [PMID: 37886436 PMCID: PMC10602111 DOI: 10.21203/rs.3.rs-3399145/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
We identified genetic subtypes of type 2 diabetes (T2D) by analyzing genetic data from diverse groups, including non-European populations. We implemented soft clustering with 650 T2D-associated genetic variants, capturing known and novel T2D subtypes with distinct cardiometabolic trait associations. The twelve genetic clusters were distinctively enriched for single-cell regulatory regions. Polygenic scores derived from the clusters differed in distribution between ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a BMI of 30 kg/m2 in the European subpopulation and 24.2 (22.9-25.5) kg/m2 in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1-30.0) kg/m2 in the East Asian group, explaining about 75% of the difference in BMI thresholds. Thus, these multi-ancestry T2D genetic subtypes encompass a broader range of biological mechanisms and help explain ancestry-associated differences in T2D risk profiles.
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Affiliation(s)
- Kirk Smith
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aaron J. Deutsch
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carolyn McGrail
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Hyunkyung Kim
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah Hsu
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ravi Mandla
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Philip H. Schroeder
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth E. Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Lukasz Szczerbinski
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Timothy D. Majarian
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Varinderpal Kaur
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alice Williamson
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Melina Claussnitzer
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C. Florez
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Alisa K. Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M. Mercader
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kyle J. Gaulton
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Miriam S. Udler
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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28
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Lee SW, Park J, Kim H, Jang J, Choi KM, Baek YS, Kim MG, Kim K. Risk of type 2 diabetes mellitus in adult patients with atopic dermatitis. Diabetes Res Clin Pract 2023; 204:110883. [PMID: 37595846 DOI: 10.1016/j.diabres.2023.110883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 08/20/2023]
Abstract
AIMS This study aimed to investigate the subsequent risk of type 2 diabetes mellitus (T2D) in adults newly diagnosed with atopic dermatitis (AD). METHODS This propensity score-matching cohort study used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC) 2.0 database in South Korea from 2002 to 2015. The adjusted hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated using a Cox proportional hazards model, for the new onset of T2D (ICD-10 code, E11) in AD patients compared to the matched controls. Subgroup and sensitivity analyses were also conducted. RESULTS Each of the 36,692 individuals in the AD group and matched control group was included in the analysis. The risk of T2D in the AD group was significantly higher than that of the matched controls in the adjusted model (adjusted HR 1.44; 95% CI 1.27-1.63, P <.001). The results of subgroup analysis by sex, age, and body mass index were consistent with the results of the primary analysis. Sensitivity analyses using different T2D and/or AD definitions also showed consistent results. CONCLUSIONS The significant risk of subsequent T2D in adult AD patients suggested the necessity for efforts to prevent T2D in AD patients.
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Affiliation(s)
- Seung Won Lee
- Institute of Pharmaceutical Science, Korea University, Sejong, Republic of Korea
| | - Jiwon Park
- College of Pharmacy, Korea University, Sejong, Republic of Korea
| | - Hayeon Kim
- College of Pharmacy, Korea University, Sejong, Republic of Korea
| | - Jaebong Jang
- Institute of Pharmaceutical Science, Korea University, Sejong, Republic of Korea; College of Pharmacy, Korea University, Sejong, Republic of Korea
| | - Kyung Mook Choi
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yoo Sang Baek
- Department of Dermatology, Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Myeong Gyu Kim
- College of Pharmacy, Ewha Womans University, Seoul, Republic of Korea
| | - Kyungim Kim
- Institute of Pharmaceutical Science, Korea University, Sejong, Republic of Korea; College of Pharmacy, Korea University, Sejong, Republic of Korea.
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29
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Smith K, Deutsch AJ, McGrail C, Kim H, Hsu S, Mandla R, Schroeder PH, Westerman KE, Szczerbinski L, Majarian TD, Kaur V, Williamson A, Claussnitzer M, Florez JC, Manning AK, Mercader JM, Gaulton KJ, Udler MS. Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical Heterogeneity. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.09.28.23296294. [PMID: 37808749 PMCID: PMC10557820 DOI: 10.1101/2023.09.28.23296294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
We identified genetic subtypes of type 2 diabetes (T2D) by analyzing genetic data from diverse groups, including non-European populations. We implemented soft clustering with 650 T2D-associated genetic variants, capturing known and novel T2D subtypes with distinct cardiometabolic trait associations. The twelve genetic clusters were distinctively enriched for single-cell regulatory regions. Polygenic scores derived from the clusters differed in distribution between ancestry groups, including a significantly higher proportion of lipodystrophy-related polygenic risk in East Asian ancestry. T2D risk was equivalent at a BMI of 30 kg/m2 in the European subpopulation and 24.2 (22.9-25.5) kg/m2 in the East Asian subpopulation; after adjusting for cluster-specific genetic risk, the equivalent BMI threshold increased to 28.5 (27.1-30.0) kg/m2 in the East Asian group, explaining about 75% of the difference in BMI thresholds. Thus, these multi-ancestry T2D genetic subtypes encompass a broader range of biological mechanisms and help explain ancestry-associated differences in T2D risk profiles.
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Affiliation(s)
- Kirk Smith
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aaron J. Deutsch
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Carolyn McGrail
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Hyunkyung Kim
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Committee on Genetics, Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Sarah Hsu
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ravi Mandla
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Philip H. Schroeder
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kenneth E. Westerman
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Lukasz Szczerbinski
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Timothy D. Majarian
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Varinderpal Kaur
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alice Williamson
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Melina Claussnitzer
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- The Novo Nordisk Foundation Center for Genomic Mechanisms of Disease, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jose C. Florez
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Alisa K. Manning
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Josep M. Mercader
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kyle J. Gaulton
- Department of Pediatrics, University of California San Diego, San Diego, CA, USA
| | - Miriam S. Udler
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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30
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Yuan Y, Fan Y, Zhou Y, Qiu R, Kang W, Liu Y, Chen Y, Wang C, Shi J, Liu C, Li Y, Wu M, Huang K, Liu Y, Zheng L. Linker histone variant H1.2 is a brake on white adipose tissue browning. Nat Commun 2023; 14:3982. [PMID: 37414781 PMCID: PMC10325996 DOI: 10.1038/s41467-023-39713-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/27/2023] [Indexed: 07/08/2023] Open
Abstract
Adipose-tissue is a central metabolic organ for whole-body energy homeostasis. Here, we find that highly expressed H1.2, a linker histone variant, senses thermogenic stimuli in beige and brown adipocytes. Adipocyte H1.2 regulates thermogenic genes in inguinal white-adipose-tissue (iWAT) and affects energy expenditure. Adipocyte H1.2 deletion (H1.2AKO) male mice show promoted iWAT browning and improved cold tolerance; while overexpressing H1.2 shows opposite effects. Mechanistically, H1.2 binds to the promoter of Il10rα, which encodes an Il10 receptor, and positively regulates its expression to suppress thermogenesis in a beige cell autonomous manner. Il10rα overexpression in iWAT negates cold-enhanced browning of H1.2AKO male mice. Increased H1.2 level is also found in WAT of obese humans and male mice. H1.2AKO male mice show alleviated fat accumulation and glucose intolerance in long-term normal chow-fed and high fat diet-fed conditions; while Il10rα overexpression abolishes these effects. Here, we show a metabolic function of H1.2-Il10rα axis in iWAT.
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Affiliation(s)
- Yangmian Yuan
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Yu Fan
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Yihao Zhou
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Rong Qiu
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Wei Kang
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Yu Liu
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Yuchen Chen
- School of Pharmacy, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Chenyu Wang
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Jiajian Shi
- School of Pharmacy, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Chengyu Liu
- Department of Transfusion Medicine, Wuhan Hospital of Traditional Chinese and Western Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Yangkai Li
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Min Wu
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Kun Huang
- School of Pharmacy, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, 430030, Wuhan, China
| | - Yong Liu
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China
| | - Ling Zheng
- Hubei Key Laboratory of Cell Homeostasis, Frontier Science Center for Immunology and Metabolism, College of Life Sciences, Wuhan University, 430072, Wuhan, China.
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31
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Chatterjee R, Davenport CA, Vickery EM, Johnson KC, Kashyap SR, LeBlanc ES, Nelson J, Dagogo-Jack S, Pittas AG, Hughes BD. Effect of intratrial mean 25(OH)D concentration on diabetes risk, by race and weight: an ancillary analysis in the D2d study. Am J Clin Nutr 2023; 118:59-67. [PMID: 37001590 PMCID: PMC10447481 DOI: 10.1016/j.ajcnut.2023.03.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 03/09/2023] [Accepted: 03/20/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Higher serum 25-hydroxyvitamin D [25(OH)D] is associated with lower type 2 diabetes risk. 25(OH)D varies due to skin pigmentation and weight. OBJECTIVES This analysis aims to determine whether the effect of vitamin D differs among people of color and those with overweight/obesity (who have higher diabetes risk) compared with individuals who are White or have normal weight. METHODS The D2d study is a randomized clinical trial in people with prediabetes that tested the effects of daily vitamin D3 4000 IU vs. placebo on diabetes risk (median followup 2.5 y). We compared baseline and intratrial mean 25(OH)D concentrations, defined as the mean of all available annual 25(OH)D values, among groups defined by self-reported race and body mass index (BMI). We used Cox proportional hazards models to assess the associations between intratrial mean 25(OH)D and diabetes risk by race- and BMI-based groups. RESULTS Asian (n=130), Black (n=616), and White (n=1616) participants were included. Both baseline and intratrial mean 25(OH)D concentrations differed significantly by race groups (both P < 0.001) and were lower in Asian and Black vs. White participants, and in those with higher vs. lower BMI adjusted for race (both P < 0.001). Compared with those with lower concentrations, Black and White participants with intratrial mean 25(OH)D ≥ 40 ng/mL had significantly reduced diabetes risk [HR (95% CI): Black: 0.51 (0.29, 0.92); White: 0.42 (0.30, 0.60)] and with a similar reduction in diabetes risk among Asian participants: 0.39 (0.14, 1.11). Compared with those with lower concentrations, participants with baseline BMI < 40 kg/m2 who achieved intratrial mean 25(OH)D concentrations ≥ 40 ng/mL had a significantly reduced diabetes risk. There was no statistically significant interaction between intratrial 25(OH)D and race or between intratrial 25(OH)D and BMI on diabetes risk. CONCLUSIONS Among people with prediabetes, particularly for Black and White race groups and those with BMI < 40 kg/m2, the optimal 25(OH)D concentration may be ≥ 40 ng/mL to optimize diabetes-prevention efforts. This trial was registered at clinicaltrials.gov as NCT01942694.
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Affiliation(s)
- Ranee Chatterjee
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States.
| | - Clemontina A Davenport
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States
| | - Ellen M Vickery
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA, United States
| | - Karen C Johnson
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Sangeeta R Kashyap
- Department of Endocrinology, Diabetes, and Metabolism, Cleveland Clinic, Cleveland, OH, United States
| | - Erin S LeBlanc
- Kaiser Permanente Center for Health Research NW, Portland, OR, United States
| | - Jason Nelson
- BERD Center, Tufts Medical Center, Boston, MA, United States
| | - Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes and Metabolism, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Anastassios G Pittas
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA, United States
| | - Bess Dawson Hughes
- Division of Endocrinology, Diabetes and Metabolism, Tufts Medical Center, Boston, MA, United States; Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, United States
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32
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Mischel AK, Liao Z, Cao F, Dunn W, Lo JC, Newton KP, Goyal NP, Yu EL, Schwimmer JB. Prevalence of Elevated ALT in Adolescents in the US 2011-2018. J Pediatr Gastroenterol Nutr 2023; 77:103-109. [PMID: 37084344 PMCID: PMC10330162 DOI: 10.1097/mpg.0000000000003795] [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] [Indexed: 04/23/2023]
Abstract
OBJECTIVE The objective of this study is to characterize suspected nonalcoholic fatty liver disease (NAFLD) using elevated alanine aminotransferase (ALT) in a diverse and nationally representative cohort of adolescents and to characterize higher ALT elevation in adolescents with obesity. METHODS Data from the National Health and Nutrition Examination Survey 2011-2018 were analyzed for adolescents 12-19 years. Participants with causes for elevated ALT other than NAFLD were excluded. Race and ethnicity, sex, body mass index (BMI), and ALT were examined. Elevated ALT was defined as >22 U/L (females) and >26 U/L (males) using the biologic upper normal limit (ULN). Elevated ALT thresholds up to 2X-ULN were examined among adolescents with obesity. Multivariable logistic regression was used to determine the association of race/ethnicity and elevated ALT, adjusting for age, sex, and BMI. RESULTS Prevalence of elevated ALT in adolescents was 16.5% overall and 39.5% among those with obesity. For White, Hispanic, and Asian adolescents, prevalence was 15.8%, 21.8%, and 16.5% overall, 12.8%, 17.7%, and 27.0% in those with overweight, and 43.0%, 43.5%, and 43.1% in those with obesity, respectively. Prevalence was much lower in Black adolescents (10.7% overall, 8.4% for overweight, 20.7% for obesity). Prevalence of ALT at 2X-ULN was 6.6% in adolescents with obesity. Hispanic ethnicity, age, male sex, and higher BMI were independent predictors of elevated ALT. CONCLUSIONS Prevalence of elevated ALT in U.S. adolescents is high, affecting 1 in 6 adolescents during 2011-2018. The risk is highest in Hispanic adolescents. Asian adolescents with elevated BMI may comprise an emerging risk group for elevated ALT.
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Affiliation(s)
- Anna K. Mischel
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
| | - Zhengxu Liao
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
| | - Fangyi Cao
- Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
| | - Winston Dunn
- Gastroenterology and Hepatology, the University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Joan C. Lo
- Department of Medicine, Kaiser Permanente Oakland Medical Center, 3600 Broadway, Oakland, Ca, 94611, USA
- Division of Research, Kaiser Permanente Northern California, 2000- Broadway, Oakland, CA, 94612, USA
| | - Kimberly P. Newton
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA, 92123, USA
| | - Nidhi P. Goyal
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA, 92123, USA
| | - Elizabeth L. Yu
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA, 92123, USA
| | - Jeffrey B. Schwimmer
- Department of Pediatrics, Division of Gastroenterology, Hepatology, and Nutrition, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
- Department of Gastroenterology, Rady Children’s Hospital San Diego, San Diego, CA, 92123, USA
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33
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Vargas MC, Pineda GJ, Talamantes V, Toledo MJL, Owen A, Carcamo P, Gibbert W, Ackermann RT, Kandula NR, Cameron KA, Siddique J, Williams GC, O'Brien MJ. Design and rationale of behavioral nudges for diabetes prevention (BEGIN): A pragmatic, cluster randomized trial of text messaging and a decision aid intervention for primary care patients with prediabetes. Contemp Clin Trials 2023; 130:107216. [PMID: 37169219 PMCID: PMC10330561 DOI: 10.1016/j.cct.2023.107216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/24/2023] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND Among 96 million U.S. adults with prediabetes, adoption of evidence-based treatment to prevent diabetes remains low. Primary care represents an essential venue for preventing diabetes, yet providers in this setting have limited time to address prevention. This highlights the need for low-touch interventions that promote diabetes prevention and are not delivered by primary care providers. Text messaging and decision aids displaying disease risk and treatment information have improved outcomes in prior research. However, these approaches have not been definitively studied for managing prediabetes. METHODS The Behavioral Nudges for Diabetes Prevention (BEGIN) trial is a pragmatic, cluster randomized trial testing the effectiveness of text messaging about diabetes prevention and a prediabetes decision aid. These interventions are being studied in 8 primary care clinics using a 2 × 2 factorial design, in which pairs of clinics are randomized in a 1:1:1:1 ratio to receive usual care, text messaging alone, prediabetes decision aid alone, or both interventions. A total of 656 patients are recruited to participate, receive the study interventions, and contribute data at baseline and 12 months. The primary outcome is 12-month weight change, and the secondary outcome is adoption of evidence-based treatment to prevent diabetes. Change in hemoglobin A1c is an exploratory outcome that will be assessed among participants with available values. CONCLUSION Findings from the BEGIN trial will provide evidence about the effectiveness of two novel, low-touch interventions focused on diabetes prevention in primary care, where patients are diagnosed with prediabetes and there is little prior research. TRIAL REGISTRY NCT04869917.
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Affiliation(s)
- Maria C Vargas
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Gracia J Pineda
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Vanessa Talamantes
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Maria Jose Leiva Toledo
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Andrew Owen
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Paula Carcamo
- Erie Family Health Centers, 1701 W. Superior Street, Chicago, IL 60622, USA
| | - Wesley Gibbert
- Erie Family Health Centers, 1701 W. Superior Street, Chicago, IL 60622, USA; Department of Family and Community Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lakeshore Drive, 14th floor, Chicago, IL 60611, USA
| | - Ronald T Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA
| | - Namratha R Kandula
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lakeshore Drive, 14th floor, Chicago, IL 60611, USA
| | - Kenzie A Cameron
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lakeshore Drive, 14th floor, Chicago, IL 60611, USA
| | - Juned Siddique
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lakeshore Drive, 14th floor, Chicago, IL 60611, USA
| | - Geoffrey C Williams
- Division of Cardiology, Department of Medicine, University of Michigan Medical School, 24 Frank Lloyd Wright Dr., Suite 1300, Ann Arbor, MI 48106, USA
| | - Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 10th floor, Chicago, IL 60611, USA; Institute of Public Health and Medicine, Northwestern University Feinberg School of Medicine, 750 N. Lakeshore Drive, 6th floor, Chicago, IL 60611, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lakeshore Drive, 14th floor, Chicago, IL 60611, USA.
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Łuniewski M, Matyjaszek-Matuszek B, Lenart-Lipińska M. Diagnosis and Non-Invasive Treatment of Obesity in Adults with Type 2 Diabetes Mellitus: A Review of Guidelines. J Clin Med 2023; 12:4431. [PMID: 37445466 PMCID: PMC10342979 DOI: 10.3390/jcm12134431] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 06/21/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Obesity, a chronic disease with multifactorial etiopathogenesis, is characterized by excessive accumulation of adipose tissue. Obesity prevalence is growing globally at an alarming rate. The overwhelming majority of obesity cases are caused by inappropriate lifestyles, such as overconsumption of food and inadequate physical activity. Metabolic and biochemical changes due to increased adiposity resulted in numerous comorbidities, increased all-cause mortality, and reduced quality of life. T2DM (type 2 diabetes mellitus) and obesity have many common pathogenetic points and drive each other in a vicious cycle. The aim of this article is to review obesity management guidelines and highlight the most important points. Management of both obesity-related and T2DM complications incur enormous expenses on healthcare systems. It is, therefore, paramount to provide streamlined yet custom-tailored weight management in order to avoid the negative ramifications of both diseases. Efficient obesity treatment leads to better diabetes control since some antidiabetic medications support weight reduction. Obesity treatment should be overseen by a multi-disciplinary team providing indispensable information and individually tailored regimens to patients. Weight management should be multimodal and consist chiefly of MNT (medical nutrition therapy), physical activity, and lifestyle changes. A comprehensive approach to obesity treatment may give tangible results to quality of life and comorbidities.
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Affiliation(s)
- Michał Łuniewski
- Department of Endocrinology, Diabetology and Metabolic Diseases, Medical University of Lublin, 20-954 Lublin, Poland; (B.M.-M.); (M.L.-L.)
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Boutari C, DeMarsilis A, Mantzoros CS. Obesity and diabetes. Diabetes Res Clin Pract 2023:110773. [PMID: 37356727 DOI: 10.1016/j.diabres.2023.110773] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/03/2023] [Indexed: 06/27/2023]
Abstract
Obesity, which has currently reached pandemic dimensions, is usually accompanied by diabetes mellitus type 2 (T2DM). These two conditions share common pathophysiological mechanisms. Adipose tissue secretes cytokines which are involved in inflammation and various endocrine functions. As for T2DM, it is characterized also by inflammation, mitochondrial dysfunction, and hyperinsulinemia. These conditions occur also in other diseases related to obesity and T2DM, like cardiovascular disease (CVD) and nonalcoholic fatty liver disease (NAFLD). Thus, management of obesity-related complications with lifestyle modification, anti-obesity drugs, and bariatric surgery, all contribute to improvement in any of these conditions. This review provides an overview of the literature addressing the association between obesity and T2DM, briefly discussing the pathophysiological mechanisms linking these conditions and outlining the management approach at the overlap of obesity and T2DM.
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Affiliation(s)
- Chrysoula Boutari
- Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Hippokration General Hospital, Thessaloniki, Greece; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Antea DeMarsilis
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Christos S Mantzoros
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Medicine, Boston VA Healthcare System, Boston, MA, USA.
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Okura T, Nakamura R, Anno M, Ito Y, Kitao S, Endo S, Taneda N, Matsumoto K, Shoji K, Okura H, Matsuzawa K, Izawa S, Ueta E, Kato M, Imamura T, Taniguchi SI, Yamamoto K. Aldehyde dehydrogenase 2 polymorphism is an important gene for insulin resistance in Japanese patients with type 2 diabetes. Metabol Open 2023; 18:100242. [PMID: 37124127 PMCID: PMC10130494 DOI: 10.1016/j.metop.2023.100242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/08/2023] [Accepted: 04/09/2023] [Indexed: 05/02/2023] Open
Abstract
Background Aldehyde dehydrogenase 2 (ALDH2) is an important enzyme involved in alcohol metabolism. ALDH2 polymorphism has been reported as a risk factor for type 2 diabetes mellitus (T2DM) and is associated with liver insulin resistance due to alcohol consumption in non-diabetic individuals. Herein, we investigated the association between ALDH2 polymorphisms and insulin resistance in patients with T2DM. Methods We performed a meal tolerance test and the hyperinsulinemic-euglycemic clamp on 71 Japanese participants: 34 patients with T2DM, and 37 non-diabetic participants. We analyzed the ALDH2 polymorphism (ALDH2 rs67); GG type was defined as the T2DM high-risk group, compared with the low-risk AG and AA groups. Results Glucose levels were similar in the high- and low-risk T2DM groups. The high-risk group for T2DM showed a significantly higher BMI (p < 0.005), insulin resistance in HOMA-IR (p < 0.05), and Insulin sensitivity index (p < 0.05); however, there were no significant differences in insulin resistance in the clamp test (p = 0.10). Alcohol consumption did not differ significantly between groups (p = 0.66). Non-diabetic participants also showed higher HOMA-IR insulin resistance in the high-risk group (p < 0.05), but insulin resistance levels in the glucose clamp tests (p = 0.56) and insulin secretion were not significant. Conclusion The results suggest that ALDH2 is an important gene associated with insulin resistance and obesity in Japanese patients with type 2 diabetes.
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Affiliation(s)
- Tsuyoshi Okura
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
- Corresponding author. Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, 36-1 Nishi-cho, Yonago, Tottori, 683-8504, Japan.
| | - Risa Nakamura
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Mari Anno
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Yuichi Ito
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Sonoko Kitao
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Satomi Endo
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Natsuka Taneda
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Kazuhisa Matsumoto
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Kyoko Shoji
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Hiroko Okura
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Kazuhiko Matsuzawa
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Shoichiro Izawa
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Etsuko Ueta
- School of Health Science, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Masahiko Kato
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Takeshi Imamura
- Division of Molecular Pharmacology, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Shin-ichi Taniguchi
- Department of Community-based Family Medicine, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
| | - Kazuhiro Yamamoto
- Division of Cardiovascular Medicine, Endocrinology and Metabolism, Tottori University Faculty of Medicine, Yonago, Tottori, Japan
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O'Brien MJ, Zhang Y, Bailey SC, Khan SS, Ackermann RT, Ali MK, Benoit SR, Imperatore G, Holliday CS, Bullard KM. Screening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity. Am J Prev Med 2023; 64:814-823. [PMID: 37171231 PMCID: PMC10188199 DOI: 10.1016/j.amepre.2023.01.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 05/13/2023]
Abstract
INTRODUCTION In 2021, the U.S. Preventive Services Task Force (USPSTF) recommended prediabetes and diabetes screening for asymptomatic adults aged 35-70 years with overweight/obesity, lowering the age from 40 years in its 2015 recommendation. The USPSTF suggested considering earlier screening in racial and ethnic groups with high diabetes risk at younger ages or lower BMI. This study examined the clinical performance of these USPSTF screening recommendations as well as alternative age and BMI cutoffs in the U.S. adult population overall, and separately by race and ethnicity. METHODS Nationally representative data were collected from 3,243 nonpregnant adults without diagnosed diabetes in January 2017-March 2020 and analyzed from 2021 to 2022. Screening eligibility was based on age and measured BMI. Collectively, prediabetes and undiagnosed diabetes were defined by fasting plasma glucose ≥100 mg/dL or hemoglobin A1c ≥5.7%. The sensitivity, specificity, and predictive values of alternate screening criteria were examined overall, and by race and ethnicity. RESULTS The 2021 criteria exhibited marginally higher sensitivity (58.6%, 95% CI=55.5, 61.6 vs 52.9%, 95% CI=49.7, 56.0) and lower specificity (69.3%, 95% CI=65.7, 72.2 vs 76.4%, 95% CI=73.3, 79.2) than the 2015 criteria overall, and within each racial and ethnic group. Screening at lower age and BMI thresholds resulted in even greater sensitivity and lower specificity, especially among Hispanic, non-Hispanic Black, and Asian adults. Screening all adults aged 35-70 years regardless of BMI yielded the most equitable performance across all racial and ethnic groups. CONCLUSIONS The 2021 USPSTF screening criteria will identify more adults with prediabetes and diabetes in all racial and ethnic groups than the 2015 criteria. Screening all adults aged 35-70 years exhibited even higher sensitivity and performed most similarly by race and ethnicity, which may further improve early detection of prediabetes and diabetes in diverse populations.
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Affiliation(s)
- Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, Ilinois; Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois.
| | - Yan Zhang
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Stacy C Bailey
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois
| | - Sadiya S Khan
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Division of Cardiology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois
| | - Ronald T Ackermann
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Ilinois; Chicago Center for Diabetes Translation Research, Northwestern University Feinberg School of Medicine and University of Chicago Pritzker School of Medicine, Chicago, Ilinois
| | - Mohammed K Ali
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia
| | - Stephen R Benoit
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Giuseppina Imperatore
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Christopher S Holliday
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kai McKeever Bullard
- Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
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Shetty NS, Patel N, Gaonkar M, Kalra R, Li P, Pavela G, Arora G, Arora P. Trends of cardiovascular health in Asian American individuals: A national health and nutrition examination survey study. Am J Prev Cardiol 2023; 14:100509. [PMID: 37334161 PMCID: PMC10273280 DOI: 10.1016/j.ajpc.2023.100509] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/18/2023] [Accepted: 05/21/2023] [Indexed: 06/20/2023] Open
Abstract
Objective Oversampling of Asian American individuals in the National Health and Nutrition Examination Survey (NHANES) provides a unique opportunity to assess the population-level cardiovascular health (CVH) in the fastest-growing racial group in the US. Methods The Life's Essential 8 (LE8) score and its components were calculated in self-reported Asian American individuals ≥20 years of age and free of cardiovascular disease in the NHANES cycles from 2011-March 2020. Multivariable adjusted linear and logistic regression models were used for analysis. Results Among 2,059 Asian American individuals, the weighted mean LE8 score was 69.1 (0.4) with US-born [69.0 (0.8)] and foreign-born individuals [69.1 (0.4)] having similar CVH. From 2011 to March 2020, CVH in the overall population [69.7 (0.8) to 68.1 (0.8); Ptrend: 0.009] and foreign-born individuals [69.7 (0.8) to 67.7 (0.8); Ptrend: 0.005] declined. Decreasing trends were noted in the body mass index score irrespective of stratification and in the blood pressure scores in the overall population and foreign-born Asian American individuals. Compared with US-born individuals, the odds of ideal levels of smoking [ORadj:<5 years: 2.23 (95%CI: 1.45-3.44); 5-15 years: 1.97 (95%CI: 1.27-3.05); 15-30 years: 1.61 (95%CI: 1.11-2.34); ≥30 years: 1.69(95%CI:1.20-2.36)] and diet [ORadj: <5 years: 1.87 (95%CI: 1.26-2.79); 5-15 years: 2.00 (95%CI: 1.38-2.89); 15-30 years: 1.74 (95%CI: 1.14-2.68)] were higher in foreign-born individuals. Foreign-born individuals had lower odds of ideal physical activity levels [ORadj: 5-15 years: 0.55 (95%CI: 0.39-0.79); 15-30 years: 0.68 (95%CI: 0.49-0.95)] and ideal cholesterol levels [ORadj: 5-15 years: 0.59 (95%CI: 0.42-0.82); 15-30 years: 0.54 (95%CI :0.38-0.76); ≥30 years: 0.52 (95%CI: 0.38-0.76)]. Conclusion The CVH in Asian American individuals declined from 2011 to March 2020. The odds of ideal CVH decreased with increasing duration of stay in the US, with foreign-born individuals residing in the US for ≥30 years having ∼28% lower odds of ideal CVH compared with US-born individuals.
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Affiliation(s)
- Naman S. Shetty
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nirav Patel
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mokshad Gaonkar
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rajat Kalra
- Cardiovascular Division, University of Minnesota, Minneapolis, MN, United States of America
| | - Peng Li
- School of Nursing, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gregory Pavela
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Garima Arora
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Pankaj Arora
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
- Section of Cardiology, Birmingham Veterans Affairs Medical Center, Birmingham, AL, USA
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Abiri B, Ahmadi AR, Mahdavi M, Amouzegar A, Valizadeh M. Association between thyroid function and obesity phenotypes in healthy euthyroid individuals: an investigation based on Tehran Thyroid Study. Eur J Med Res 2023; 28:179. [PMID: 37248529 DOI: 10.1186/s40001-023-01135-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/05/2023] [Indexed: 05/31/2023] Open
Abstract
AIMS We investigated whether thyroid function could be associated with obesity phenotypes amongst euthyroid individuals. MATERIALS AND METHODS A cross-sectional analysis was conducted among healthy, euthyroid subjects. The study participants were chosen from the Tehran Thyroid Study (TTS). We analyzed 2988 euthyroid adults and classified them into four obesity phenotype groups: metabolically healthy normal weight (MHNW), metabolically healthy obese (MHO), metabolically unhealthy normal weight (MUNW), and metabolically unhealthy obese (MUO). The statistical differences between thyroid hormones between various obesity phenotypes according to age and sex was compared using analysis of covariance (ANCOVA). RESULTS It was found that MHNW participants had higher levels of FT4 when compared with metabolically healthy or unhealthy obese subjects (P < 0.001), even after adjustment for the confounding variables. No difference was observed in the levels of TSH (P = 0.260) among obesity phenotypes. In the subgroup analysis according to the age, a significant difference was observed in the level of FT4 only in subjects with age < 55 years (P = 0.001). However, analyzing men and women separately did not show a significant difference in the FT4 level among obesity phenotypes (P > 0.05). CONCLUSION "Metabolically abnormality" was independently related to low normal FT4 levels in overweight/obese euthyroid individuals. There is a need for further research to understand how low FT4 levels are linked to metabolically unhealthy states in euthyroid individuals.
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Affiliation(s)
- Behnaz Abiri
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-476, Tehran, Iran
| | | | - Maryam Mahdavi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-476, Tehran, Iran
| | - Atieh Amouzegar
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-476, Tehran, Iran.
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Mehta LS, Velarde GP, Lewey J, Sharma G, Bond RM, Navas-Acien A, Fretts AM, Magwood GS, Yang E, Blumenthal RS, Brown RM, Mieres JH. Cardiovascular Disease Risk Factors in Women: The Impact of Race and Ethnicity: A Scientific Statement From the American Heart Association. Circulation 2023; 147:1471-1487. [PMID: 37035919 PMCID: PMC11196122 DOI: 10.1161/cir.0000000000001139] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
Cardiovascular disease is the leading cause of death in women, yet differences exist among certain racial and ethnic groups. Aside from traditional risk factors, behavioral and environmental factors and social determinants of health affect cardiovascular health and risk in women. Language barriers, discrimination, acculturation, and health care access disproportionately affect women of underrepresented races and ethnicities. These factors result in a higher prevalence of cardiovascular disease and significant challenges in the diagnosis and treatment of cardiovascular conditions. Culturally sensitive, peer-led community and health care professional education is a necessary step in the prevention of cardiovascular disease. Equitable access to evidence-based cardiovascular preventive health care should be available for all women regardless of race and ethnicity; however, these guidelines are not equally incorporated into clinical practice. This scientific statement reviews the current evidence on racial and ethnic differences in cardiovascular risk factors and current cardiovascular preventive therapies for women in the United States.
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Fujihara K, Khin L, Murai K, Yamazaki Y, Tsuruoka K, Yagyuda N, Yamazaki K, Maegawa H, Tanaka S, Kodama S, Sone H. Incidence and predictors of remission and relapse of type 2 diabetes mellitus in Japan: Analysis of a nationwide patient registry. Diabetes Obes Metab 2023. [PMID: 37157909 DOI: 10.1111/dom.15100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 04/14/2023] [Accepted: 04/15/2023] [Indexed: 05/10/2023]
Abstract
AIMS To determine the incidence of remission and 1-year relapse from remission and associated factors in patients with type 2 diabetes. MATERIALS AND METHODS A total of 48 320 Japanese patients with type 2 diabetes aged ≥18 years, with glycated haemoglobin (HbA1c) levels ≥48 mmol/mol (6.5%) and/or glucose-lowering drug prescription, were identified from databases of specialist clinics from 1989 and followed until September 2022. Remission was defined as HbA1c <48 mmol/mol at least 3 months after cessation of a glucose-lowering drug. Relapse was defined as failure to maintain remission for 1 year. Factors associated with remission and relapse were evaluated by logistic regression analysis. RESULTS The overall incidence of remissions per 1000 person-years was 10.5, and for those with HbA1c levels of 48 to 53 mmol/mol (6.5% to 6.9%), those taking no glucose-lowering drugs at baseline, and those with a ≥10% body mass index (BMI) reduction in 1 year, it was 27.8, 21.7 and 48.2, respectively. Shorter duration, lower baseline HbA1c, higher baseline BMI, higher BMI reduction at 1 year, and no glucose-lowering drugs at baseline were significantly associated with remission. Among 3677 persons with remission, approximately two-thirds (2490) relapsed within 1 year. Longer duration, lower BMI at baseline, and lower BMI reduction at 1 year were significantly associated with relapse. CONCLUSIONS The results showed that the incidence of remission and predictors of relapse, especially baseline BMI, might differ greatly between East Asian and Western populations. Furthermore, the relationships of BMI reduction with remission and relapse may be greater in East Asian than in Western populations, implying ethnic differences in returning from overt hyperglycaemia to nearly normal glucose levels.
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Affiliation(s)
- Kazuya Fujihara
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Laymon Khin
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Koshiro Murai
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Yurie Yamazaki
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Kahori Tsuruoka
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Noriko Yagyuda
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | | | - Hiroshi Maegawa
- Department of Internal Medicine, Shiga University of Medical Science, Shiga, Japan
- Yasu City Hospital, Shiga, Japan
| | - Shiro Tanaka
- Department of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoru Kodama
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
| | - Hirohito Sone
- Department of Internal Medicine, Niigata University Faculty of Medicine, Niigata, Japan
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Anyanwu OA, Folta SC, Zhang FF, Chui K, Chomitz VR, Kartasurya MI, Naumova EN. Fish-To Eat or Not to Eat? A Mixed-Methods Investigation of the Conundrum of Fish Consumption in the Context of Marine Pollution in Indonesia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:ijerph20085582. [PMID: 37107864 PMCID: PMC10138686 DOI: 10.3390/ijerph20085582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 04/11/2023] [Accepted: 04/11/2023] [Indexed: 05/11/2023]
Abstract
Background: The Indonesian government faces a dilemma of promoting fish consumption for its health benefits and to ease food insecurity, while at the same time seeking effective approaches to reduce the high levels of marine pollution. However, the factors associated with fish consumption in the face of persistent high levels of marine pollution are not well elucidated in the literature. Objectives: This was an explorative study to investigate the sociodemographic factors related to fish consumption and to understand the perspectives of expert informants on marine pollution and its impact on fish quality and availability in Indonesia. Methods: We characterized fish consumption among respondents aged 15 years and older in the fifth wave of the Indonesian Family Life Survey (n = 31,032), based on their sociodemographic profiles, and developed multinomial regression models to assess the relationship between respondents' sociodemographic profiles and quintiles of fish consumption. We also conducted in-depth interviews on fish consumption and marine pollution with key informants from Indonesia (n = 27). We then used a convergent mixed-methods design to synthesize the results of both datasets. Results: Fish was the most frequently consumed animal-source food reported by survey respondents: 2.8 (±2.6) days/week. More younger respondents (15-19 years) reported relatively lower consumption of fish (9.3% in Q1 versus 5.9% in Q5) compared to respondents 50 years and older (37% in Q1 versus 39.9% in Q5; p < 0.01). When classified by region, more respondents from the Java region reported lower consumption of fish (86.5% in Q1 versus 53% in Q5; p < 0.01). Key-informants' perspectives corroborated the survey results by indicating that the younger generation tends not to want to consume fish; informants expanded the survey results by suggesting that fish is scarce in the Java region due to high levels of marine pollution. Informants further implied that there is low awareness about the impact of marine pollution on fish quality among most of the Indonesian population. Conclusion: Evidence from both data sources converge on differential preference for fish consumption by age group. Informants' perspectives also link marine pollution to fish scarcity, which poses a threat to food security among low-income Indonesians and to human health globally. More studies are needed to corroborate our findings and inform policy guidelines to reduce marine pollution while promoting fish consumption in Indonesia.
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Affiliation(s)
- Oyedolapo A. Anyanwu
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA 02111, USA
- Correspondence:
| | - Sara C. Folta
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA 02111, USA
| | - Fang Fang Zhang
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA 02111, USA
| | - Kenneth Chui
- Public Health & Community Medicine, School of Medicine, Tufts University, 136 Harrison Ave, Boston, MA 02111, USA
| | - Virginia R. Chomitz
- Public Health & Community Medicine, School of Medicine, Tufts University, 136 Harrison Ave, Boston, MA 02111, USA
| | - Martha I. Kartasurya
- Department of Public Health Nutrition, Diponegoro University, Semarang 50275, Jawa Tengah, Indonesia;
| | - Elena N. Naumova
- Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA 02111, USA
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Hirano Y, Kaneko H, Konishi T, Itoh H, Matsuda S, Kawakubo H, Uda K, Matsui H, Fushimi K, Itano O, Yasunaga H, Kitagawa Y. Impact of Body Mass Index on Major Complications, Multiple Complications, In-hospital Mortality, and Failure to Rescue After Esophagectomy for Esophageal Cancer: A Nationwide Inpatient Database Study in Japan. Ann Surg 2023; 277:e785-e792. [PMID: 35129484 DOI: 10.1097/sla.0000000000005321] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To examine the association of BMI with mortality and related outcomes after oncologic esophagectomy. SUMMARY BACKGROUND DATA Previous studies showed that high BMI was a risk factor for anastomotic leakage and low BMI was a risk factor for respiratory complications after esophagectomy. However, the association between BMI and in-hospital mortality after oncologic esophagectomy remains unclear. METHODS Data for patients who underwent esophagectomy for esophageal cancer between July 2010 and March 2019 were extracted from a Japanese nationwide inpatient database. Multivariate regression analyses and restricted cubic spline analyses were used to investigate the associations between BMI and short-term outcomes, adjusting for potential confounders. RESULTS Among 39,406 eligible patients, in-hospital mortality, major complications, and multiple complications (≥2 major complications) occurred in 1069 (2.7%), 14,824 (37.6%), and 3621 (9.2%), respectively. Compared with normal weight (18.5-22.9 kg/m 2 ), severe underweight (<16.0 kg/m 2 ), mild/moderate underweight (16.0-18.4 kg/m 2 ), and obese (≥27.5 kg/m 2 )were significantly associated with higher in-hospital mortality [odds ratio 2.20 (95% confidence interval 1.65-2.94), 1.25 (1.01-1.49), and 1.48 (1.05-2.09), respectively]. BMI showed U-shaped dose-response associations with mortality, major complications, and multiple complications. BMI also showed a reverse J-shaped association with failure to rescue (death after major complications). CONCLUSIONS Both high BMI and low BMI were associated with mortality, major complications and multiple complications after esophagectomy for esophageal cancer. Patients with low BMI were more likely to die once a major complication occurred. The present results can assist with risk stratification in patients undergoing oncologic esophagectomy.
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Affiliation(s)
- Yuki Hirano
- Department of Hepatobiliary-Pancreatic and Gastrointestinal Surgery, International University of Health and Welfare School of Medicine, Chiba, Japan
| | - Hidehiro Kaneko
- Department of cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Takaaki Konishi
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Hidetaka Itoh
- Department of cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Satoru Matsuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hirofumi Kawakubo
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kazuaki Uda
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan
| | - Osamu Itano
- Department of Hepatobiliary-Pancreatic and Gastrointestinal Surgery, International University of Health and Welfare School of Medicine, Chiba, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
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Promoting Physical Activity Among Immigrant Asian Americans: Results from Four Community Health Worker Studies. J Immigr Minor Health 2023; 25:291-305. [PMID: 36273386 DOI: 10.1007/s10903-022-01411-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2022] [Indexed: 03/07/2023]
Abstract
Racial/ethnic minorities have demonstrated lower rates of physical activity (PA) than non-Hispanic Whites. This study examined outcomes in PA measures after participation in a community health worker (CHW) intervention. We performed a secondary data analysis from four randomized controlled trials utilizing CHWs (n = 842) in New York City (Bangladeshi-diabetes management, Filipino-hypertension management, and Korean and Asian Indian-diabetes prevention). Outcomes included total weekly PA, PA self-efficacy, PA barriers, and PA social interaction. Each measure was examined at baseline and study endpoint. Generalized estimating equation models were fitted to assess the repeated measures over time, while accounting for study group and socio-demographic factors. Moderate PA, recommended PA, and self-efficacy increased significantly among treatment group participants. PA social interaction increased significantly among Filipinos and Asian Indians. In adjusted regression analysis, time x group interaction was significant for all PA outcomes except for PA barriers. Culturally-adapted lifestyle interventions may potentially improve PA-related outcomes in Asian immigrant communities. Trial registration at ClinicalTrials.gov includes: NCT03530579 (RICE Project), NCT02041598 (DREAM Project), and NCT03100812 (AsPIRE).
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45
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Lin LJJ, Saliba B, Adams J, Peng W. Prevalence and risk factors contributing to the occurrence of diabetes mellitus in Chinese international migrants: A narrative review. Diabetes Res Clin Pract 2023; 197:110560. [PMID: 36738829 DOI: 10.1016/j.diabres.2023.110560] [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: 11/07/2022] [Revised: 01/20/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
AIMS This paper reviewed the literature on diabetes prevalence and risk factors associated with diabetes among first-generation Chinese international migrants. METHODS MEDLINE, Scopus, Web of Science, CINAHL and Maternity and Infant Care were searched until March 2022, for articles written in English. The quality of the included articles was assessed using the Newcastle-Ottawa Scale. RESULTS In total, 17 articles were included (nine for gestational diabetes, six for type 2 diabetes, and none for type 1 diabetes). The average crude prevalence rate for type 2 diabetes and gestational diabetes was 12.1% and 9.3% respectively. Risk factors contributing to the occurrence of type 2 diabetes included older age, sex, family history of type 2 diabetes, higher BMI/waist circumference, longer time since migration, alcohol consumption, smoker, hypertension, and high triglycerides. Risk factors contributing to the occurrence of gestational diabetes included older maternal age, history of gestational diabetes, higher weight/pre-pregnancy BMI, longer time since migration, and Chinese ethnicity. CONCLUSIONS We identified a research gap in the diabetes health of Chinese migrants, particularly for type 1 diabetes, highlighting the need for ethnic-specific diabetes research and care, including for subsequent generations of migrants and those living in developing countries.
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Affiliation(s)
- Li Jia Jennifer Lin
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
| | - Bernard Saliba
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
| | - Jon Adams
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
| | - Wenbo Peng
- School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia.
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Mahadevan M, Bose M, Gawron KM, Blumberg R. Metabolic Syndrome and Chronic Disease Risk in South Asian Immigrants: A Review of Prevalence, Factors, and Interventions. Healthcare (Basel) 2023; 11:healthcare11050720. [PMID: 36900725 PMCID: PMC10000781 DOI: 10.3390/healthcare11050720] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/21/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023] Open
Abstract
South Asians (SAs) are among the fastest-growing ethnic groups in the U.S. Metabolic syndrome (MetS) is a condition that is characterized by multiple health factors that increase the risk for chronic diseases, such as cardiovascular disease (CVD) and diabetes. MetS prevalence among SA immigrants ranges from 27-47% in multiple cross-sectional studies using different diagnostic criteria, which is generally higher compared to other populations in the receiving country. Both genetic and environmental factors are attributed to this increased prevalence. Limited intervention studies have shown effective management of MetS conditions within the SA population. This review reports MetS prevalence in SAs residing in non-native countries, identifies contributing factors, and discusses ways to develop effective community-based strategies for health promotion targeting MetS among SA immigrants. There is a need for more consistently evaluated longitudinal studies to facilitate the development of directed public health policy and education to address chronic diseases in the SA immigrant community.
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Affiliation(s)
- Meena Mahadevan
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
- Correspondence: ; Tel.: +1-973-655-7574
| | - Mousumi Bose
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
| | | | - Renata Blumberg
- Department of Nutrition and Food Studies, Montclair State University, Montclair, NJ 07043, USA
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Petinrin OO, Saeed F, Toseef M, Liu Z, Basurra S, Muyide IO, Li X, Lin Q, Wong KC. Machine Learning in Metastatic Cancer Research: Potentials, Possibilities, and Prospects. Comput Struct Biotechnol J 2023; 21:2454-2470. [PMID: 37077177 PMCID: PMC10106342 DOI: 10.1016/j.csbj.2023.03.046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 03/31/2023] Open
Abstract
Cancer has received extensive recognition for its high mortality rate, with metastatic cancer being the top cause of cancer-related deaths. Metastatic cancer involves the spread of the primary tumor to other body organs. As much as the early detection of cancer is essential, the timely detection of metastasis, the identification of biomarkers, and treatment choice are valuable for improving the quality of life for metastatic cancer patients. This study reviews the existing studies on classical machine learning (ML) and deep learning (DL) in metastatic cancer research. Since the majority of metastatic cancer research data are collected in the formats of PET/CT and MRI image data, deep learning techniques are heavily involved. However, its black-box nature and expensive computational cost are notable concerns. Furthermore, existing models could be overestimated for their generality due to the non-diverse population in clinical trial datasets. Therefore, research gaps are itemized; follow-up studies should be carried out on metastatic cancer using machine learning and deep learning tools with data in a symmetric manner.
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Pajecki D, Dantas ACB, Santo MA, Tess BH. Beyond the BMI: a Critical Analysis of the Edmonton Obesity Staging System and the New Guidelines for Indications for Metabolic and Bariatric Surgery. Obes Surg 2023; 33:1276-1278. [PMID: 36805461 DOI: 10.1007/s11695-023-06516-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 12/26/2022] [Accepted: 12/27/2022] [Indexed: 02/23/2023]
Affiliation(s)
- Denis Pajecki
- Unidade de Cirurgia Bariátrica E Metabólica, Disciplina de Cirurgia Do Aparelho Digestivo E Coloproctologia, Departamento de Gastroenterologia, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Anna Carolina Batista Dantas
- Unidade de Cirurgia Bariátrica E Metabólica, Disciplina de Cirurgia Do Aparelho Digestivo E Coloproctologia, Departamento de Gastroenterologia, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
| | - Marco Aurelio Santo
- Unidade de Cirurgia Bariátrica E Metabólica, Disciplina de Cirurgia Do Aparelho Digestivo E Coloproctologia, Departamento de Gastroenterologia, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
| | - Beatriz Helena Tess
- Departamento de Medicina Preventiva, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil
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Sperling MM, Leonard SA, Blumenfeld YJ, Carmichael SL, Chueh J. Prepregnancy body mass index and gestational diabetes mellitus across Asian and Pacific Islander subgroups in California. AJOG GLOBAL REPORTS 2023; 3:100148. [PMID: 36632428 PMCID: PMC9826825 DOI: 10.1016/j.xagr.2022.100148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND The American College of Obstetricians and Gynecologists recommends early screening for gestational diabetes mellitus among pregnant Asian people with a prepregnancy body mass index ≥23.0 kg/m2, in contrast with the recommended screening at a body mass index ≥25 kg/m2 for other races and ethnicities. However, there is significant heterogeneity within Asian and Pacific Islander populations, and gestational diabetes mellitus and its association with body mass index among Asian and Pacific Islander subgroups may not be uniform across all groups. OBJECTIVE This study aimed to analyze the association between body mass index and gestational diabetes mellitus among Asian and Pacific Islander subgroups in California, specifically gestational diabetes mellitus rates among those with a body mass index above vs below 23 kg/m2, which is the cutoff point for the designation of being overweight among Asians populations. STUDY DESIGN Using a linked delivery hospitalization discharge and vital records database, we identified patients who gave birth in California between 2007 and 2017 and who self-reported to be 1 of 13 Asian and Pacific Islander subgroups, which was collected from birth and fetal death certificates. In each subgroup, we evaluated the association between body mass index and gestational diabetes mellitus using multivariable logistic regression models adjusted for age, education, parity, payment method, the trimester in which prenatal care was initiated, and nativity. We fit body mass index nonlinearly with splines and categorized body mass index as being above or below 23 kg/m2. Predicted probabilities of gestational diabetes mellitus with 95% confidence intervals were calculated across body mass index values using the nonlinear regression models. RESULTS The overall prevalence of gestational diabetes mellitus was 14.3% (83,400/584,032), ranging between 8.4% and 17.1% across subgroups. The highest prevalence was among Indian (17.1%), Filipino (16.7%), and Vietnamese (15.5%) subgroups. In these subgroups, gestational diabetes mellitus was diagnosed in 10% to 13% of those with a body mass index <23.0 kg/m2 and in 22% of those with a body mass index ≥23 kg/m2. Gestational diabetes mellitus was least common among Korean (8.4%), Japanese (9.0%), and Samoan (9.8%) subgroups with a gestational diabetes mellitus rate of 5% to 7% among those with a body mass index <23.0 kg/m2 and in 10% to 15% among those with a body mass index ≥23 kg/m2. Although Samoan patients had the highest rate of obesity, defined as body mass index ≥30 kg/m2 (57.4%), they had the third lowest prevalence of gestational diabetes mellitus. Conversely, Vietnamese patients had the second lowest rate of obesity (2.4%) but the highest rate of gestational diabetes mellitus at a body mass index of ≥23 kg/m2 (22.3%). CONCLUSION Gestational diabetes mellitus and its association with body mass index varied among Asian subgroups but increased as body mass index increased. Subgroups with the lowest prevalence of obesity trended toward a higher prevalence of gestational diabetes mellitus and those with a higher prevalence of obesity trended toward a lower prevalence of gestational diabetes mellitus.
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Affiliation(s)
- Meryl M. Sperling
- Departments of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Sperling, Leonard, Blumenfeld, Carmichael, and Chueh)
| | - Stephanie A. Leonard
- Departments of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Sperling, Leonard, Blumenfeld, Carmichael, and Chueh)
| | - Yair J. Blumenfeld
- Departments of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Sperling, Leonard, Blumenfeld, Carmichael, and Chueh)
| | - Suzan L. Carmichael
- Departments of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Sperling, Leonard, Blumenfeld, Carmichael, and Chueh)
- Pediatrics (Dr Carmichael), Stanford University School of Medicine, Stanford, CA
| | - Jane Chueh
- Departments of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Sperling, Leonard, Blumenfeld, Carmichael, and Chueh)
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Hampton L, Mocanu V, Verhoeff K, Birch DW, Karmali S, Switzer NJ. Asian race is not associated with increased 30-day serious complications or mortality: a MBSAQIP analysis of 594 837 patients. Surg Endosc 2023; 37:3893-3900. [PMID: 36720752 DOI: 10.1007/s00464-023-09898-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 01/16/2023] [Indexed: 02/02/2023]
Abstract
INTRODUCTION With expansion of bariatric surgery indications to include Asian patients with diabetes and body mass index (BMI) ≥ 27.5, or BMI ≥ 32.5, it is important to characterize Asian patient population undergoing bariatric surgery and assess their postoperative outcomes. METHODS This retrospective study analyzed the 2015-2019 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database. All patients undergoing Roux-en-Y gastric bypass (RYGB) and laparoscopic sleeve gastrectomy (LSG) who self-reported as Asian or White race were included. The primary outcomes were to characterize the Asian race population in North American and to identify if Asian race was associated with serious complications or mortality at 30 days. RESULTS Overall, 594,837 patients met inclusion, with 4229 self-reporting Asian racial status. Patients of Asian race were younger (41.8 vs 45.5 years, p < 0.001) and had a lower BMI (42.8 vs 44.7 kg/m2 p < 0.001) than White patients. They were also more likely to have insulin dependent diabetes (10.9% vs 8.2%, p < 0.001), have received prior cardiac surgery (10.0% vs 1.2% p < 0.001), and suffer from renal insufficiency (1.0% vs 0.5%, p < 0.001). There were no significant differences between rates of RYGB (28.3% vs 28.9%, p = 0.4) and mean operative duration (87.7 vs 87.5 min, p = 0.7). Additionally, there were no differences in 30 day outcomes including leak (0.5% vs 0.5%, p = 0.625), bleeding (1.2% vs 1.0%, p = 0.1), serious complications (3.4% vs 3.5%, p = 0.6), or mortality (0.1% vs 0.1%, p = 0.7) and after confounder control, Asian race was not independently associated with serious complications (OR 1.0, CI 0.9-1.2, p = 0.7), or mortality (OR 1.1, CI 0.3-3.3, p = 0.1). CONCLUSIONS Despite the increased metabolic burden of Asian patients, no differences in 30-day outcomes compared to White patients occurs. This data supports evidence suggesting these patients may safely undergo bariatric surgery independent of their increased metabolic burden.
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Affiliation(s)
- Lauren Hampton
- Department of Surgery, University of Alberta, Edmonton, AB, Canada
| | - Valentin Mocanu
- Department of Surgery, University of Alberta, Edmonton, AB, Canada.
| | - Kevin Verhoeff
- Department of Surgery, University of Alberta, Edmonton, AB, Canada
| | - Daniel W Birch
- Department of Surgery, University of Alberta, Edmonton, AB, Canada
| | - Shahzeer Karmali
- Centre for Advancement of Surgical Education and Simulation (CASES), Royal Alexandra Hospital, Edmonton, AB, Canada
| | - Noah J Switzer
- Centre for Advancement of Surgical Education and Simulation (CASES), Royal Alexandra Hospital, Edmonton, AB, Canada
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