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Maitland SB, Brauer P, Mutch DM, Royall D, Klein D, Tremblay A, Rheaume C, Jeejeebhoy K. Exploratory analysis of the variable response to an intensive lifestyle change program for metabolic syndrome. BMC PRIMARY CARE 2024; 25:357. [PMID: 39354341 PMCID: PMC11443702 DOI: 10.1186/s12875-024-02608-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 09/23/2024] [Indexed: 10/03/2024]
Abstract
BACKGROUND Substantial variability in response to lifestyle interventions has been recognized for many years, and researchers have begun to disentangle sources of error from inherent differences in individual responsiveness. The objective of this secondary analysis of an intensive lifestyle intervention (diet and exercise) for metabolic syndrome (MetS) was to identify potentially important differences among study completers grouped by treatment response as measured by change in a continuous metabolic syndrome score (Gurka/MetS). METHODS All study completers from a 12-month primary care study were categorized into one of five groups according to change in the Gurka/MetS score. A change of 0.4 in z-score defined clinically relevant change in line with results of previous studies. Repeated measures analysis of variance was used to examine cardiovascular disease risk and individual clinical indicators of MetS over 12 months, looking for differences in response over time by the five groups. RESULTS Of 176 participants, 50% (n = 88) had stable scores, 10% (n = 18) had relevant change scores in the first 3 months only and reverted toward baseline, 20% (n = 35) achieved meaningful change over the whole study, 11% (n = 20) had a delayed response at 3-12 months, and 9% (n = 15) demonstrated worsening scores. Significant differential patterns were noted for groups over the duration of the intervention (p < .001). Improvement in diet quality and fitness scores were similar across all groups. Other available variables were tested and did not account for the differences. CONCLUSION Work is needed to identify key factors that account for differences in responses to lifestyle interventions that can be used to guide treatment decisions for intensive lifestyle interventions for this common condition. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT01616563; first registered June 12, 2012.
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Affiliation(s)
- Scott B Maitland
- Department of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road, Guelph, ON, N1G 2W1, Canada
| | - Paula Brauer
- Department of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road, Guelph, ON, N1G 2W1, Canada.
| | - David M Mutch
- Department of Human and Health Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Dawna Royall
- Department of Family Relations & Applied Nutrition, University of Guelph, 50 Stone Road, Guelph, ON, N1G 2W1, Canada
| | - Doug Klein
- Department of Family Medicine, University of Alberta, Edmonton, AB, Canada
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
- Centre de recherche Nutrition, Santé et Société (NUTRISS), INAF, Quebec City, QC, Canada
| | - Caroline Rheaume
- Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
| | - Khursheed Jeejeebhoy
- Departments of Nutritional Sciences and Physiology, University of Toronto, Toronto, ON, Canada
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Höchsmann C, Dorling JL, Lavie CJ, Katzmarzyk PT. Healthy Lifestyle and Cardiac Rehabilitation for Weight Loss. Curr Cardiol Rep 2024:10.1007/s11886-024-02130-6. [PMID: 39230618 DOI: 10.1007/s11886-024-02130-6] [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] [Accepted: 08/27/2024] [Indexed: 09/05/2024]
Abstract
PURPOSE OF REVIEW Considerable current interest is directed at pharmacological agents for producing significant weight loss. However, healthy lifestyle choices can also lead to clinically meaningful weight loss and improvements in cardiovascular disease (CVD) risk factors. RECENT FINDINGS In this review, we summarize the recent research from our PROmoting Successful Weight Loss in Primary CarE in Louisiana (PROPEL) randomized controlled trial and review previous data on the potential benefits of cardiac rehabilitation and exercise training (CRET) programs to produce weight loss and improvements in CVD risk factors. Although obesity medications are becoming extremely attractive for secondary and even primary CVD prevention, high-intensity non-pharmacological therapies with healthy lifestyle choices reviewed herein can also lead to substantial health improvements in patients with obesity, including improvements in body weight and other body composition parameters as well as overall CVD risk.
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Affiliation(s)
- Christoph Höchsmann
- Department of Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, 80809, Munich, Germany.
| | - James L Dorling
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Carl J Lavie
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, New Orleans, LA, USA
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Lavie CJ, Laddu DR, Arena R. Weighing in on the Heavy Psychological Tolls of Obesity. JACC. ADVANCES 2024; 3:101114. [PMID: 39139586 PMCID: PMC11321378 DOI: 10.1016/j.jacadv.2024.101114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Affiliation(s)
- Carl J. Lavie
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School-The University of Queensland School of Medicine, New Orleans, Louisiana, USA
- Healthy Living Pandemic Event Protection (HL-PIVOT) Network, Chicago, Illinois, USA
| | - Deepika R. Laddu
- Healthy Living Pandemic Event Protection (HL-PIVOT) Network, Chicago, Illinois, USA
- Arbor Research, Ann Arbor, Michigan, USA
| | - Ross Arena
- Healthy Living Pandemic Event Protection (HL-PIVOT) Network, Chicago, Illinois, USA
- Department of Physical Therapy, College of Applied Science, University of Illinois Chicago, Chicago, Illinois, USA
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Abreu TC, Mackenbach JD, Heuvelman F, Schoonmade LJ, Beulens JW. Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis. SSM Popul Health 2024; 25:101559. [PMID: 38148999 PMCID: PMC10749911 DOI: 10.1016/j.ssmph.2023.101559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/27/2023] [Accepted: 11/11/2023] [Indexed: 12/28/2023] Open
Abstract
Aim The social environment (SE), including social contacts, norms and support, is an understudied element of the living environment which impacts health. We aim to comprehensively summarize the evidence on the association between the SE and risk factors of cardiometabolic disease (CMD). Methods We performed a systematic review and meta-analysis based on studies published in PubMed, Scopus and Web of Science Core Collection from inception to 16 February 2021. Studies that used a risk factor of CMD, e.g., HbA1c or blood pressure, as outcome and social environmental factors such as area-level deprivation or social network size as independent variables were included. Titles and abstracts were screened in duplicate. Study quality was assessed using the Newcastle-Ottawa Scale. Data appraisal and extraction were based on the study protocol published in PROSPERO. Data were synthesized through vote counting and meta-analyses. Results From the 7521 records screened, 168 studies reported 1050 associations were included in this review. Four meta-analyses based on 24 associations suggested that an unfavorable social environment was associated with increased risk of cardiometabolic risk factors, with three of them being statistically significant. For example, individuals that experienced more economic and social disadvantage had a higher "CVD risk scores" (OR = 1.54, 95%CI: 1.35 to 1.84). Of the 458 associations included in the vote counting, 323 (71%) pointed towards unfavorable social environments being associated with higher CMD risk. Conclusion Higher economic and social disadvantage seem to contribute to unfavorable CMD risk factor profiles, while evidence for other dimensions of the social environment is limited.
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Affiliation(s)
- Taymara C. Abreu
- Department of Epidemiology & Data Science, Amsterdam UMC - location VUmc, Amsterdam, Noord-Holland, the Netherlands
- Upstream Team, the Netherlands
| | - Joreintje D. Mackenbach
- Department of Epidemiology & Data Science, Amsterdam UMC - location VUmc, Amsterdam, Noord-Holland, the Netherlands
- Upstream Team, the Netherlands
| | - Fleur Heuvelman
- Department of Epidemiology & Data Science, Amsterdam UMC - location VUmc, Amsterdam, Noord-Holland, the Netherlands
| | - Linda J. Schoonmade
- University Library, Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, the Netherlands
| | - Joline W.J. Beulens
- Department of Epidemiology & Data Science, Amsterdam UMC - location VUmc, Amsterdam, Noord-Holland, the Netherlands
- Upstream Team, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Utrecht, the Netherlands
- Amsterdam Public Health, Amsterdam Cardiovascular Sciences, Amsterdam, Noord-Holland, the Netherlands
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Yuan D, Xu N, Song Y, Zhang Z, Xu J, Liu Z, Tang X, Han Y, Chen Y, Zhang Y, Zhu P, Guo X, Wang Z, Liu R, Wang Q, Yao Y, Feng Y, Zhao X, Yuan J. Association Between Free Fatty Acids and Cardiometabolic Risk in Coronary Artery Disease: Results From the PROMISE Study. J Clin Endocrinol Metab 2023; 109:125-134. [PMID: 37540767 DOI: 10.1210/clinem/dgad416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Indexed: 08/06/2023]
Abstract
CONTEXT The association between free fatty acids (FFAs) and unfavorable clinical outcomes has been reported in the general population. However, evidence in the secondary prevention population is relatively scarce. OBJECTIVE We aimed to examine the relationship between FFA and cardiovascular risk in patients with coronary artery disease (CAD). METHODS This study was based on a multicenter cohort of patients with CAD enrolled from January 2015 to May 2019. The primary outcome was all-cause death. Secondary outcomes included cardiac death and major adverse cardiovascular events (MACE), a composite of death, myocardial infarction, and unplanned revascularization. RESULTS During a follow-up of 2 years, there were 468 (3.0%) all-cause deaths, 335 (2.1%) cardiac deaths, and 1279 (8.1%) MACE. Elevated FFA levels were independently associated with increased risks of all-cause death, cardiac death, and MACE (all P < .05). Moreover, When FFA were combined with an original model derived from the Cox regression, there were significant improvements in discrimination and reclassification for prediction of all-cause death (net reclassification improvement [NRI] 0.245, P < .001; integrated discrimination improvement [IDI] 0.004, P = .004), cardiac death (NRI 0.269, P < .001; IDI 0.003, P = .006), and MACE (NRI 0.268, P < .001; IDI 0.004, P < .001). Notably, when stratified by age, we found that the association between FFA with MACE risk appeared to be stronger in patients aged ≥60 years compared with those aged <60 years. CONCLUSION In patients with CAD, FFAs are associated with all-cause death, cardiac death, and MACE. Combined evaluation of FFAs with other traditional risk factors could help identify high-risk individuals who may require closer monitoring and aggressive treatment.
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Affiliation(s)
- Deshan Yuan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Na Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Ying Song
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Zheng Zhang
- Department of Cardiology, the First Hospital of Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Jingjing Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Zhenyu Liu
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Xiaofang Tang
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Yaling Han
- Department of Cardiology, General Hospital of Northern Theater Command, Shenyang 110000, People's Republic of China
| | - Yan Chen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Yongzhen Zhang
- Department of Cardiology, Peking University Third Hospital, Beijing 100037, People's Republic of China
| | - Pei Zhu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Xiaogang Guo
- Department of Cardiology, the First Affiliated Hospital, Zhejiang University School of Medicine (FAHZU), Hangzhou 310000, People's Republic of China
| | - Zhifang Wang
- Department of Cardiology, Xinxiang Central Hospital, Xinxiang 453000, People's Republic of China
| | - Ru Liu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Qingsheng Wang
- Department of Cardiology, the First Hospital of Qinhuangdao, Qinhuangdao 066000, People's Republic of China
| | - Yi Yao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Yingqing Feng
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangzhou 510000, People's Republic of China
| | - Xueyan Zhao
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
| | - Jinqing Yuan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, People's Republic of China
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Fu Y, Yu G, Maulana N, Thomson K. Interventions to tackle health inequalities in cardiovascular risks for socioeconomically disadvantaged populations: a rapid review. Br Med Bull 2023; 148:22-41. [PMID: 37724711 PMCID: PMC10724464 DOI: 10.1093/bmb/ldad025] [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: 08/29/2023] [Indexed: 09/21/2023]
Abstract
INTRODUCTION Cardiovascular disease (CVD) has shown significant health inequalities for people with low socioeconomic status associated with more risk factors. This review was to synthesize interventions that targeted CVD risks and outcomes among socioeconomically disadvantaged populations and to understand the impact associated with these interventions. SOURCES OF DATA Cochrane CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL were searched for records published in the last decade using a systematic search strategy, complemented by screening the reference lists and citation indexes. Nineteen studies were included and a narrative synthesis with the effect direction plot was undertaken in which studies, interventions, participants and outcomes were examined according to the intervention type focusing on behaviours, lifestyle, education, medication and monitoring. AREAS OF AGREEMENT No universal definition of disadvantaged socioeconomic status was used with common factors relating to racial/ethnic minorities, low income and low or no health insurance. Mixed effects of interventions were reported on clinical outcomes including weight, body mass index, blood pressure, glycated haemoglobin and cholesterol. AREAS OF CONTROVERSY Inconsistent effect was reported due to a large variety of settings, participants and intervention components although they are considered necessary to address the complex health needs of socioeconomically disadvantaged populations. GROWING POINTS There is inadequate evidence to determine whether any of the intervention types are effective in optimising lipids management for socioeconomically disadvantaged populations. AREAS TIMELY FOR DEVELOPING RESEARCH Research is needed with mixed evidence using real world evaluation and lived experience combined with health economic evaluation, on both mental and physical health outcomes.
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Affiliation(s)
- Yu Fu
- Department of Primary Care & Mental Health, Institute of Population Health, University of Liverpool, 1-3 Brownlow Street, Liverpool, L69 3GL, UK
| | - Ge Yu
- King’s Health Economics, Health Services and Population Research, Department of Psychiatry, Psychology & Neuroscience, King’s College London, David Goldberg Centre 18 De Crespigny Park, London, SE5 8AF, UK
| | - Naswa Maulana
- Population Health Sciences Institute, Faculty of Medical Sciences Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne NE2 4AX, UK
| | - Katie Thomson
- Population Health Sciences Institute, Faculty of Medical Sciences Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne NE2 4AX, UK
- National Institute for Health Research Applied Research Collaboration, North East and North Cumbria, Cumbria, Northumberland, Tyne & Wear NHS Foundation Trust St Nicholas Hospital Gosforth, Newcastle Upon Tyne NE3 3XT, UK
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Höchsmann C, Martin CK, Apolzan JW, Dorling JL, Newton RL, Denstel KD, Mire EF, Johnson WD, Zhang D, Arnold CL, Davis TC, Fonseca V, Thethi TK, Lavie CJ, Springgate B, Katzmarzyk PT. Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention. Obesity (Silver Spring) 2023; 31:2272-2282. [PMID: 37551762 PMCID: PMC10597572 DOI: 10.1002/oby.23854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 05/30/2023] [Accepted: 06/03/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE This study tested whether initial weight change (WC), self-weighing, and adherence to the expected WC trajectory predict longer-term WC in an underserved primary-care population with obesity. METHODS Data from the intervention group (n = 452; 88% women; 74% Black; BMI 37.3 kg/m2 [SD: 4.6]) of the Promoting Successful Weight Loss in Primary Care in Louisiana trial were analyzed. Initial (2-, 4-, and 8-week) percentage WC was calculated from baseline clinic weights and daily at-home weights. Weights were considered adherent if they were on the expected WC trajectory (10% at 6 months with lower [7.5%] and upper [12.5%] bounds). Linear mixed-effects models tested whether initial WC and the number of daily and adherent weights predicted WC at 6, 12, and 24 months. RESULTS Percentage WC during the initial 2, 4, and 8 weeks predicted percentage WC at 6 (R2 = 0.15, R2 = 0.28, and R2 = 0.50), 12 (R2 = 0.11, R2 = 0.19, and R2 = 0.32), and 24 (R2 = 0.09, R2 = 0.11, and R2 = 0.16) months (all p < 0.01). Initial daily and adherent weights were significantly associated with WC as individual predictors, but they only marginally improved predictions beyond initial weight loss alone in multivariable models. CONCLUSIONS These results highlight the importance of initial WC for predicting long-term WC and show that self-weighing and adherence to the expected WC trajectory can improve WC prediction.
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Affiliation(s)
- Christoph Höchsmann
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - John W Apolzan
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - James L Dorling
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Robert L Newton
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Kara D Denstel
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Emily F Mire
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | | | - Dachuan Zhang
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Connie L Arnold
- Department of Medicine and Feist-Weiller Cancer Center, Louisiana State University Health Sciences Center, Shreveport, Louisiana, USA
| | - Terry C Davis
- Department of Medicine and Feist-Weiller Cancer Center, Louisiana State University Health Sciences Center, Shreveport, Louisiana, USA
| | - Vivian Fonseca
- AdventHealth, Translational Research Institute, Orlando, Florida, USA
| | - Tina K Thethi
- AdventHealth, Translational Research Institute, Orlando, Florida, USA
| | - Carl J Lavie
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, New Orleans, Louisiana, USA
| | - Benjamin Springgate
- Department of Internal Medicine, Louisiana State University School of Medicine, New Orleans, Louisiana, USA
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Yang J, Huang J, Huang Z, Xu Y, Li W, Zhu S, Zhao Y, Ye B, Liu L, Zhu J, Xia M, Liu Y. Cardiometabolic benefits of Lacticaseibacillus paracasei 8700:2: A randomized double-blind placebo-controlled trial. Clin Nutr 2023; 42:1637-1646. [PMID: 37506599 DOI: 10.1016/j.clnu.2023.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/29/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
BACKGROUND & AIMS Modulating microbial metabolism via probiotic supplementation has been proposed as an attractive strategy for the prevention of cardiometabolic diseases. Recently, Lacticaseibacillus paracasei (L. paracasei) was reported to alleviate metabolic disorders in murine models, however, its beneficial effects in humans remain to be determined. This study evaluated whether L. paracasei supplementation could improve endothelial function and cardiometabolic health in subjects with metabolic syndrome (MetS). METHODS In this randomized, double-blind and placebo-controlled trial among 130 participants with MetS, subjects were randomly assigned to placebo or L. paracasei 8700: 2 (10 billion CFU) daily for 12 weeks. Endothelial function was measured by flow-mediated slowing, and cardiometabolic health was determined by both components and severity of MetS. Ideal compliance was defined as consumption no less than 70% of the capsules. RESULTS 130 individuals (mean [SD] age, 45.97 [7.11] years; 95 men [73.1%]) were enrolled and randomized to L. paracasei (n = 66) or placebo control (n = 64). Compared to placebo, L. paracasei supplementation led to a greater reduction in remnant cholesterol (-0.16 mmol/L, 95%CI: -0.29 mmol/L to -0.02 mmol/L; P = 0.024). Such a reduction in remnant cholesterol was significantly associated with improvement in endothelial function (r = -0.23, P = 0.027). In subjects with an ideal compliance with trial protocol, L. paracasei treatment additionally lowered triglycerides, alleviated MetS severity and delayed weight gain. On the contrary, no obvious effect on insulin sensitivity or pancreatic beta-cell function was observed after L. paracasei intervention. Moreover, regarding safety and tolerability, no significant between-group difference in protocol-specified adverse events of interest was observed. CONCLUSIONS L. paracasei supplementation enhanced endothelial function potentially through downregulating remnant cholesterol levels. Our study provides a feasible and safe strategy for the prevention of cardiometabolic diseases in subjects with severe dyslipidemia and endothelial dysfunction. REGISTERED Under ClinicalTrails.gov identifier NCT05005754.
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Affiliation(s)
- Jialu Yang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Jingyi Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Zhihao Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Yingxi Xu
- Department of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Wenkang Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Shanshan Zhu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Yawen Zhao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Bingqi Ye
- Department of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Ludi Liu
- Department of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, China
| | - Jiangyuan Zhu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China
| | - Min Xia
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China.
| | - Yan Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, China.
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Apolzan JW, Martin CK, Newton RL, Myers CA, Arnold CL, Davis TC, Johnson WD, Zhang D, Höchsmann C, Fonseca VA, Denstel KD, Mire EF, Springgate BF, Lavie CJ, Katzmarzyk PT. Dietary intake during a pragmatic cluster-randomized weight loss trial in an underserved population in primary care. Nutr J 2023; 22:38. [PMID: 37528391 PMCID: PMC10394871 DOI: 10.1186/s12937-023-00864-7] [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: 01/17/2023] [Accepted: 07/17/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Currently there are limited data as to whether dietary intake can be improved during pragmatic weight loss interventions in primary care in underserved individuals. METHODS Patients with obesity were recruited into the PROPEL trial, which randomized 18 clinics to either an intensive lifestyle intervention (ILI) or usual care (UC). At baseline and months 6, 12, and 24, fruit and vegetable (F/V) intake and fat intake was determined. Outcomes were analyzed by repeated-measures linear mixed-effects multilevel models and regression models, which included random cluster (clinic) effects. Secondary analyses examined the effects of race, sex, age, and food security status. RESULTS A total of 803 patients were recruited. 84.4% were female, 67.2% African American, 26.1% received Medicaid, and 65.5% made less than $40,000. No differences in F/V intake were seen between the ILI and UC groups at months 6, 12, or 24. The ILI group reduced percent fat at months 6, 12, and 24 compared to UC. Change in F/V intake was negatively correlated with weight change at month 6 whereas change in fat intake was positively associated with weight change at months 6, 12, and 24 for the ILI group. CONCLUSIONS The pragmatic weight loss intervention in primary care did not increase F/V intake but did reduce fat intake in an underserved population with obesity. F/V intake was negatively associated with weight loss at month 6 whereas percent fat was positively correlated with weight loss throughout the intervention. Future efforts better targeting both increasing F/V intake and reducing fat intake may promote greater weight loss in similar populations. TRIAL REGISTRATION NCT Registration: NCT02561221.
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Affiliation(s)
- John W Apolzan
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA.
| | - Corby K Martin
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Robert L Newton
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Candice A Myers
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Connie L Arnold
- Department of Medicine, Feist-Weiller Cancer Center, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - Terry C Davis
- Department of Medicine, Feist-Weiller Cancer Center, Louisiana State University Health Sciences Center, Shreveport, LA, USA
| | - William D Johnson
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Dachuan Zhang
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Christoph Höchsmann
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Vivian A Fonseca
- Department of Medicine, Division of Endocrinology and Metabolism, Tulane University Health Sciences Center, School of Medicine, Southeast Louisiana Veterans Health Care System, New Orleans, LA, USA
| | - Kara D Denstel
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Emily F Mire
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
| | - Benjamin F Springgate
- Department of Internal Medicine, Section of Community and Population Medicine, Louisiana State University School of Medicine, New Orleans, LA, USA
- Program in Health Policy and Systems Management, School of Public Health, Louisiana State University, New Orleans, LA, USA
| | - Carl J Lavie
- Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School-The University of Queensland School of Medicine, New Orleans, LA, USA
| | - Peter T Katzmarzyk
- Pennington Biomedical Research Center, Louisiana State University System, 6400 Perkins Road, Baton Rouge, LA, USA
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Kwok ZCM, Tao A, Chan HYL. Effects of Health Coaching on Cardiometabolic Health in Middle-Aged Adults: A Systematic Review and Meta-analysis. Am J Health Promot 2023; 37:555-565. [PMID: 36322092 DOI: 10.1177/08901171221137332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
OBJECTIVE To appraise and synthesize evidence on the effects of health coaching as the primary intervention on cardiometabolic health among middle-aged adults. DATA SOURCE Six electronic databases (MEDLINE, Embase, PsycINFO, CINAHL, PubMed, and the Cochrane library) were searched from inception until July 2021. STUDY INCLUSION AND EXCLUSION CRITERIA Randomized controlled trials and controlled clinical trials published in English, reporting health coaching aimed to promote behavioral changes for improving cardiometabolic health among middle-aged adults were included. Studies on health coaching as secondary intervention were excluded. DATA EXTRACTION Two reviewers selected the articles, appraised the study quality, and extracted data independently. All kinds of outcomes related to cardiometabolic health, including health behaviors, psychological and physiological outcomes, were included. DATA SYNTHESIS Meta-analysis was performed if three or more studies reported the same outcomes. Narrative synthesis was performed if pooling of data for meta-analysis was not feasible. RESULTS Eight studies were reviewed. Most studies involved substantial risk of bias. The majority of the participants were women (99.1%). Meta-analysis showed a small but significant effect of health coaching on increasing physical activity (SMD = .34, 95% CI = .08-.60, p = .01, I2 = 0%); however, its effect on perceived barriers to physical activity and depressive symptoms was nonsignificant. Narrative synthesis yielded inconsistent results on diet, smoking, anxiety, goal achievement and self-efficacy for behavioral change, physiological outcomes, and metabolic syndrome severity, and nonsignificant effects on alcohol consumption, sleep quality, perceived benefits of physical activities, and cardiovascular symptoms. CONCLUSIONS Health coaching has significant effects on increasing physical activity among middle-aged adults; however, its effects on health behaviors and risk factors related to cardiometabolic health are inconclusive. Further efforts are warranted to examine how health coaching can improve cardiometabolic health among middle-aged adults.
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Affiliation(s)
- Zoe Ching-Man Kwok
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - An Tao
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
| | - Helen Yue-Lai Chan
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong
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11
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Michaud TL, Almeida FA, Porter GC, Kittel CA, Schwab RJ, Brito FA, Wilson KE, Katula JA, Castro Sweet C, Estabrooks PA, Dressler EV. Effects of a digital diabetes prevention program on cardiovascular risk among individuals with prediabetes. Prim Care Diabetes 2023; 17:148-154. [PMID: 36697280 DOI: 10.1016/j.pcd.2023.01.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 01/02/2023] [Accepted: 01/16/2023] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To examine changes in cardiovascular disease (CVD) risk outcomes of overweight/obese adults with prediabetes. METHODS Using data from a randomized control trial of digital diabetes prevention program (d-DPP) with 599 participants. We applied the atherosclerotic CVD (ASCVD) risk calculator to predict 10-year CVD risk for d-DPP and small education (comparison) groups. Between-group risk changes at 4 and 12 months were compared using a repeated measures linear mixed-effect model. We examined within-group differences in proportion of participants over time for specific CVD risk factors using generalized estimating equations. RESULTS We found no differences between baseline 10-year ASCVD risk. Relative to the comparison group, the d-DPP group experienced greater reductions in predicted 10-year ASCVD risk at each follow-up visit and a significant group difference at 4 months (-0.96%; 95% confidence interval: -1.58%, -0.34%) (but not at 12 months). Additionally, we observed that the d-DPP group experienced a decreased proportion of individuals with hyperlipidemia (18% and 16% from baseline to 4 and 12 months), high-risk total cholesterol (8% from baseline to 12 months), and being insufficiently active (26% and 22% from baseline to 4 and 12 months at follow-up time points. CONCLUSIONS Our findings suggest that a digitally adapted DPP may promote the prevention of cardiometabolic disease among overweight/obese individuals with prediabetes. However, given the lack of maintenance of effect on ASCVD risk at 12 months, there may also be a need for additional interventions to sustain the effect detected at 4 months.
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Affiliation(s)
- Tzeyu L Michaud
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA; Center for Reducing Health Disparities, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Fabio A Almeida
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA; Center for Reducing Health Disparities, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Gwenndolyn C Porter
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Carol A Kittel
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
| | - Robert J Schwab
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Fabiana A Brito
- Department of Health Promotion, University of Nebraska Medical Center, Omaha, NE, USA; Center for Reducing Health Disparities, University of Nebraska Medical Center, Omaha, NE, USA.
| | - Kathryn E Wilson
- Department of Kinesiology and Health, College of Education and Human Development, Georgia State University, Atlanta, GA, USA.
| | - Jeffrey A Katula
- Department of Health and Exercise Science, Wake Forest University, Winston-Salem, NC, USA.
| | | | - Paul A Estabrooks
- Department of Health and Kinesiology, College of Health, University of Utah, Salt Lake City, UT, USA.
| | - Emily V Dressler
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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Santulli G, Jankauskas SS, Varzideh F, Mone P, Kansakar U. Targeting cardiovascular and metabolic disorders through annual nationwide screening and lifestyle intervention: insights from a cohort of 5 819 041 subjects with a 4-year follow-up. Eur J Prev Cardiol 2023; 30:329-330. [PMID: 36529466 PMCID: PMC9992064 DOI: 10.1093/eurjpc/zwac302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Affiliation(s)
- Gaetano Santulli
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
- Department of Molecular Pharmacology, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
| | - Stanislovas S. Jankauskas
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
- Department of Molecular Pharmacology, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
| | - Fahimeh Varzideh
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
- Department of Molecular Pharmacology, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
| | - Pasquale Mone
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
- Department of Molecular Pharmacology, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
| | - Urna Kansakar
- Department of Medicine, Division of Cardiology, Wilf Family Cardiovascular Research Institute, Einstein Institute for Aging Research, Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
- Department of Molecular Pharmacology, Einstein-Mount Sinai Diabetes Research Center (ES-DRC), Fleischer Institute for Diabetes and Metabolism (FIDAM), Institute for Neuroimmunology and Inflammation (INI), Albert Einstein College of Medicine, 1300 Morris Park Avenue, New York, NY 10461, USA
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13
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Hassapidou M, Vlassopoulos A, Kalliostra M, Govers E, Mulrooney H, Ells L, Salas XR, Muscogiuri G, Darleska TH, Busetto L, Yumuk VD, Dicker D, Halford J, Woodward E, Douglas P, Brown J, Brown T. European Association for the Study of Obesity Position Statement on Medical Nutrition Therapy for the Management of Overweight and Obesity in Adults Developed in Collaboration with the European Federation of the Associations of Dietitians. Obes Facts 2023; 16:11-28. [PMID: 36521448 PMCID: PMC9889729 DOI: 10.1159/000528083] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 11/03/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Obesity affects nearly 1 in 4 European adults increasing their risk for mortality and physical and psychological morbidity. Obesity is a chronic relapsing disease characterized by abnormal or excessive adiposity with risks to health. Medical nutrition therapy based on the latest scientific evidence should be offered to all Europeans living with obesity as part of obesity treatment interventions. METHODS A systematic review was conducted to identify the latest evidence published in the November 2018-March 2021 period and to synthesize them in the European guidelines for medical nutrition therapy in adult obesity. RESULTS Medical nutrition therapy should be administered by trained dietitians as part of a multidisciplinary team and should aim to achieve positive health outcomes, not solely weight changes. A diverse range of nutrition interventions are shown to be effective in the treatment of obesity and its comorbidities, and dietitians should consider all options and deliver personalized interventions. Although caloric restriction-based interventions are effective in promoting weight reduction, long-term adherence to behavioural changes may be better supported via alternative interventions based on eating patterns, food quality, and mindfulness. The Mediterranean diet, vegetarian diets, the Dietary Approaches to Stop Hypertension, portfolio diet, Nordic, and low-carbohydrate diets have all been associated with improvement in metabolic health with or without changes in body weight. In the November 2018-March 2021 period, the latest evidence published focused around intermittent fasting and meal replacements as obesity treatment options. Although the role of meal replacements is further strengthened by the new evidence, for intermittent fasting no evidence of significant advantage over and above continuous energy restriction was found. Pulses, fruit and vegetables, nuts, whole grains, and dairy foods are also important elements in the medical nutrition therapy of adult obesity. DISCUSSION Any nutrition intervention should be based on a detailed nutritional assessment including an assessment of personal values, preferences, and social determinants of eating habits. Dietitians are expected to design interventions that are flexible and person centred. Approaches that avoid caloric restriction or detailed eating plans (non-dieting approaches) are also recommended for improvement of quality of life and body image perceptions.
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Affiliation(s)
- Maria Hassapidou
- Department of Nutritional Sciences and Dietetics, International Hellenic University, Thessaloniki, Greece
- ESDN Obesity, European Federation of the Associations of Dieticians, Naarden, The Netherlands
| | - Antonis Vlassopoulos
- ESDN Obesity, European Federation of the Associations of Dieticians, Naarden, The Netherlands
- Department of Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece
- *Maria Hassapidou,
| | - Marianna Kalliostra
- ESDN Obesity, European Federation of the Associations of Dieticians, Naarden, The Netherlands
| | - Elisabeth Govers
- ESDN Obesity, European Federation of the Associations of Dieticians, Naarden, The Netherlands
- Dutch Obesity Network for Dietitians KDOO, Amsterdam, The Netherlands
| | - Hilda Mulrooney
- ESDN Obesity, European Federation of the Associations of Dieticians, Naarden, The Netherlands
- Department of Life Sciences, Pharmacy and Chemistry, SEC Faculty, Kingston University London, London, UK
| | - Louisa Ells
- Obesity Institute, School of Health, Leeds Beckett University, Leeds, UK
| | | | - Giovanna Muscogiuri
- Unità di Endocrinologia, Diabetologia e Andrologia, Dipartimento di Medicina Clinica e Chirurgia, Università Federico II − Naples, Naples, Italy
- Cattedra Unesco “Educazione alla salute e allo sviluppo sostenibile,” Università “Federico II” di Napoli, Naples, Italy
| | | | - Luca Busetto
- Department of Medicine, University of Padova, Padova, Italy
| | - Volkan Demirhan Yumuk
- Division of Endocrinology, Metabolism and Diabetes, Istanbul University-Cerrahpaşa, Cerrahpaşa Medical Faculty, Istanbul, Turkey
| | - Dror Dicker
- Internal Medicine and Obesity Clinic, Hasharon Hospital-Rabin Medical Center, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jason Halford
- School of Psychology, University of Leeds, Leeds, UK
| | - Euan Woodward
- European Association for the Study of Obesity, Teddington, UK
| | - Pauline Douglas
- Nutrition Innovation Center for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, UK
| | - Jennifer Brown
- Obesity Canada, University of Alberta, Edmonton, Alberta, Canada
- Department of Clinical Nutrition, Department of Bariatric Surgery, The Ottawa Hospital Bariatric Centre of Excellence, Ottawa, Ontario, Canada
| | - Tamara Brown
- Applied Obesity Research Centre in the School of Health, Leeds Beckett University, Leeds, UK
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Dorling JL, Martin CK, Yu Q, Cao W, Höchsmann C, Apolzan JW, Newton RL, Denstel KD, Mire EF, Katzmarzyk PT. Mediators of weight change in underserved patients with obesity: exploratory analyses from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) cluster-randomized trial. Am J Clin Nutr 2022; 116:1112-1122. [PMID: 35762659 PMCID: PMC9535544 DOI: 10.1093/ajcn/nqac179] [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: 03/15/2022] [Revised: 05/26/2022] [Accepted: 06/21/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Intensive lifestyle interventions (ILIs) stimulate weight loss in underserved patients with obesity, but the mediators of weight change are unknown. OBJECTIVES We aimed to identify the mediators of weight change during an ILI compared with usual care (UC) in underserved patients with obesity. METHODS The PROPEL (Promoting Successful Weight Loss in Primary Care in Louisiana) trial randomly assigned 18 clinics (n = 803) to either an ILI or UC for 24 mo. The ILI group received an intensive lifestyle program; the UC group had routine care. Body weight was measured; further, eating behaviors (restraint, disinhibition), dietary intake (percentage fat intake, fruit and vegetable intake), physical activity, and weight- and health-related quality of life constructs were measured through questionnaires. Mediation analyses assessed whether questionnaire variables explained between-group variations in weight change during 2 periods: baseline to month 12 (n = 779) and month 12 to month 24 (n = 767). RESULTS The ILI induced greater weight loss at month 12 compared with UC (between-group difference: -7.19 kg; 95% CI: -8.43, -6.07 kg). Improvements in disinhibition (-0.33 kg; 95% CI: -0.55, -0.10 kg), percentage fat intake (-0.25 kg; 95% CI: -0.50, -0.01 kg), physical activity (-0.26 kg; 95% CI: -0.41, -0.09 kg), and subjective fatigue (-0.28 kg; 95% CI: -0.46, -0.10 kg) at month 6 during the ILI partially explained this between-group difference. Greater weight loss occurred in the ILI at month 24, yet the ILI group gained 2.24 kg (95% CI: 1.32, 3.26 kg) compared with UC from month 12 to month 24. Change in fruit and vegetable intake (0.13 kg; 95% CI: 0.05, 0.21 kg) partially explained this response, and no variables attenuated the weight regain of the ILI group. CONCLUSIONS In an underserved sample, weight change induced by an ILI compared with UC was mediated by several psychological and behavioral variables. These findings could help refine weight management regimens in underserved patients with obesity.This trial was registered at clinicaltrials.gov as NCT02561221.
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Affiliation(s)
- James L Dorling
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, United Kingdom
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Corby K Martin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Qingzhao Yu
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Wentao Cao
- School of Public Health, Louisiana State University Health Sciences Center, New Orleans, LA, USA
| | - Christoph Höchsmann
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
- Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - John W Apolzan
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | | | - Kara D Denstel
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Emily F Mire
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
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15
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Cromer SJ, Meigs J, Wexler DJ. Racial/ethnic and socioeconomic disparities in weight outcomes, cardiovascular events, and mortality in the look AHEAD trial. Diabetes Res Clin Pract 2022; 192:110095. [PMID: 36174779 DOI: 10.1016/j.diabres.2022.110095] [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: 02/18/2022] [Revised: 09/02/2022] [Accepted: 09/21/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Intensive lifestyle interventions (ILI) for type 2 diabetes (T2D) improve health outcomes, but participants from different races/ethnicities or socioeconomic status may not benefit equally. METHODS Within the Look AHEAD trial, we examined achievement of the 7% weight loss goal, as well as secondary weight, cardiovascular, and mortality outcomes, by race/ethnicity and educational attainment (EA). RESULTS Among 4,640 participants (31 % Black or Hispanic, 13 % with less than a high school degree), Black and Hispanic participants were less likely than White participants to achieve 7 % weight loss in both the ILI (45.8 % v. 60.7 %, p < 0.001 and 53.0 % v. 60.7 %, p = 0.01, respectively) and diabetes support and education (DSE) arms. Contrastingly, participants with less than a high school degree were more likely in the ILI but less likely in the DSE arm to achieve this goal, with a significant arm by EA interaction. Hispanic participants and those with lowest EA also experienced decreased mortality in the ILI versus the DSE arm. CONCLUSIONS All Look AHEAD participant subgroups achieved greater weight loss from ILI; however, Black and Hispanic participants lost less weight than White participants in both arms, while those with lowest EA benefited disproportionately from the ILI compared to participants with higher EA.
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Affiliation(s)
- Sara J Cromer
- Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; The Broad Institute of Harvard and MIT, Boston, MA, United States.
| | - James Meigs
- Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; The Broad Institute of Harvard and MIT, Boston, MA, United States
| | - Deborah J Wexler
- Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
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16
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Relationship between Cardiometabolic Factors and the Response of Blood Pressure to a One-Year Primary Care Lifestyle Intervention in Metabolic Syndrome Patients. Metabolites 2022; 12:metabo12090861. [PMID: 36144265 PMCID: PMC9500796 DOI: 10.3390/metabo12090861] [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: 07/13/2022] [Revised: 09/02/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Systemic hypertension has been recognized as a modifiable traditional cardiovascular risk factor and influenced by many factors such as eating habits, physical activity, diabetes, and obesity. The objective of this cross-sectional study was to identify factors that predict changes in blood pressure induced by a one-year lifestyle intervention in primary care settings involving a collaboration between family physicians, dietitians, and exercise specialists. Patients with metabolic syndrome diagnosis were recruited by family physicians participating in primary care lifestyle intervention among several family care clinics across Canada. Participants for whom all cardiometabolic data at the beginning (T0) and the end (T12) of the one-year intervention were available were included in the present analysis (n = 101). Patients visited the dietitian and the exercise specialist weekly for the first three months and monthly for the last nine months. Diet quality, exercise capacity, anthropometric indicators, and cardiometabolic variables were evaluated at T0 and at T12. The intervention induced a statistically significant decrease in waist circumference (WC), systolic (SBP) and diastolic (DBP) blood pressure, and plasma triglycerides, and an increase in cardiorespiratory fitness (estimated VO2max). Body weight (p < 0.001), body mass index (BMI) (p < 0.001), and fasting blood glucose (p = 0.006) reduction, and VO2max increase (p = 0.048) were all related to changes in SBP. WC was the only variable for which changes were significantly correlated with those in both SBP (p < 0.0001) and DBP (p = 0.0004). Variations in DBP were not associated with changes in other cardiometabolic variables to a statistically significant extent. Twelve participants were identified as adverse responders (AR) in both SBP and DBP and displayed less favorable changes in WC. The beneficial effects of the primary care lifestyle intervention on blood pressure were significantly associated with cardiometabolic variables, especially WC. These findings suggest that a structured lifestyle intervention in primary care can help improve cardiometabolic risk factors in patients with metabolic syndrome and that WC should be systematically measured to better stratify the patient’s hypertension risk.
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17
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Zhu R, Craciun I, Bernhards-Werge J, Jalo E, Poppitt SD, Silvestre MP, Huttunen-Lenz M, McNarry MA, Stratton G, Handjiev S, Handjieva-Darlenska T, Navas-Carretero S, Sundvall J, Adam TC, Drummen M, Simpson EJ, Macdonald IA, Brand-Miller J, Muirhead R, Lam T, Vestentoft PS, Færch K, Martinez JA, Fogelholm M, Raben A. Age- and sex-specific effects of a long-term lifestyle intervention on body weight and cardiometabolic health markers in adults with prediabetes: results from the diabetes prevention study PREVIEW. Diabetologia 2022; 65:1262-1277. [PMID: 35610522 PMCID: PMC9283166 DOI: 10.1007/s00125-022-05716-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/31/2022] [Indexed: 02/05/2023]
Abstract
AIMS/HYPOTHESIS Lifestyle interventions are the first-line treatment option for body weight and cardiometabolic health management. However, whether age groups or women and men respond differently to lifestyle interventions is under debate. We aimed to examine age- and sex-specific effects of a low-energy diet (LED) followed by a long-term lifestyle intervention on body weight, body composition and cardiometabolic health markers in adults with prediabetes (i.e. impaired fasting glucose and/or impaired glucose tolerance). METHODS This observational study used longitudinal data from 2223 overweight participants with prediabetes in the multicentre diabetes prevention study PREVIEW. The participants underwent a LED-induced rapid weight loss (WL) period followed by a 3 year lifestyle-based weight maintenance (WM) intervention. Changes in outcomes of interest in prespecified age (younger: 25-45 years; middle-aged: 46-54 years; older: 55-70 years) or sex (women and men) groups were compared. RESULTS In total, 783 younger, 319 middle-aged and 1121 older adults and 1503 women and 720 men were included in the analysis. In the available case and complete case analyses, multivariable-adjusted linear mixed models showed that younger and older adults had similar weight loss after the LED, whereas older adults had greater sustained weight loss after the WM intervention (adjusted difference for older vs younger adults -1.25% [95% CI -1.92, -0.58], p<0.001). After the WM intervention, older adults lost more fat-free mass and bone mass and had smaller improvements in 2 h plasma glucose (adjusted difference for older vs younger adults 0.65 mmol/l [95% CI 0.50, 0.80], p<0.001) and systolic blood pressure (adjusted difference for older vs younger adults 2.57 mmHg [95% CI 1.37, 3.77], p<0.001) than younger adults. Older adults had smaller decreases in fasting and 2 h glucose, HbA1c and systolic blood pressure after the WM intervention than middle-aged adults. In the complete case analysis, the above-mentioned differences between middle-aged and older adults disappeared, but the direction of the effect size did not change. After the WL period, compared with men, women had less weight loss (adjusted difference for women vs men 1.78% [95% CI 1.12, 2.43], p<0.001) with greater fat-free mass and bone mass loss and smaller improvements in HbA1c, LDL-cholesterol and diastolic blood pressure. After the WM intervention, women had greater fat-free mass and bone mass loss and smaller improvements in HbA1c and LDL-cholesterol, while they had greater improvements in fasting glucose, triacylglycerol (adjusted difference for women vs men -0.08 mmol/l [-0.11, -0.04], p<0.001) and HDL-cholesterol. CONCLUSIONS/INTERPRETATION Older adults benefited less from a lifestyle intervention in relation to body composition and cardiometabolic health markers than younger adults, despite greater sustained weight loss. Women benefited less from a LED followed by a lifestyle intervention in relation to body weight and body composition than men. Future interventions targeting older adults or women should take prevention of fat-free mass and bone mass loss into consideration. CLINICAL TRIAL REGISTRATION NUMBER ClinicalTrials.gov NCT01777893.
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Affiliation(s)
- Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Ionut Craciun
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Jan Bernhards-Werge
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland
| | - Sally D Poppitt
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Marta P Silvestre
- Human Nutrition Unit, School of Biological Sciences, Department of Medicine, University of Auckland, Auckland, New Zealand
- CINTESIS, NOVA Medical School (NMS), Universidade Nova de Lisboa, Lisboa, Portugal
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, Schwäbisch Gmünd, Germany
| | - Melitta A McNarry
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea, UK
| | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, Sofia, Bulgaria
| | | | - Santiago Navas-Carretero
- Centre for Nutrition Research, University of Navarra, Pamplona, Spain
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Instituto de Salud Carlos III (ISCII), Madrid, Spain
- IdisNA Instituto for Health Research, Pamplona, Spain
| | - Jouko Sundvall
- Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Tanja C Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Mathijs Drummen
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Elizabeth J Simpson
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Ian A Macdonald
- MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Roslyn Muirhead
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia
| | | | - Pia S Vestentoft
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Kristine Færch
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - J Alfredo Martinez
- Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), Instituto de Salud Carlos III (ISCII), Madrid, Spain
- Department of Nutrition and Physiology, University of Navarra, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA-Food Institute, Madrid Institute for Advanced Studies, CEI UAM + CSIC, Madrid, Spain
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, Helsinki, Finland.
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
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18
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Katzmarzyk PT, Denstel KD, Martin CK, Newton RL, Apolzan JW, Mire EF, Horswell R, Johnson WD, Brown AW, Zhang D. Intraclass correlation coefficients for weight loss cluster randomized trials in primary care: The PROPEL trial. Clin Obes 2022; 12:e12524. [PMID: 35412010 PMCID: PMC9283264 DOI: 10.1111/cob.12524] [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: 02/08/2022] [Revised: 03/17/2022] [Accepted: 03/19/2022] [Indexed: 10/18/2022]
Abstract
The aim of this study was to compute intra-class correlations (ICCs) for weight-related and patient-reported outcomes in a cluster randomized clinical trial (cRCT) for weight loss. Baseline and follow-up data from the Promoting Successful Weight Loss in Primary Care in Louisiana (PROPEL) cRCT were used in this analysis. ICCs were computed for baseline and follow-up measures, and changes in body weight, cardiometabolic risk factors and health-related and weight-related quality of life at 6, 12, 18 and 24 months. Baseline ICCs ranged from 0 for PROMIS measures of anxiety and fatigue to 0.055 for total cholesterol (median = 0.019). The ICCs were higher for changes and decreased over time during follow-up. The ICCs for changes were highest in the pooled sample (intervention and usual care combined) followed by the intervention and usual care groups, respectively. The results demonstrated significant ICCs for several outcomes in a weight loss cRCT. The ICCs differed in magnitude depending on whether baseline versus longitudinal data were used, whether data were combined across treatment arms or were considered separately, and varied across the follow-up period. All these factors must be considered when choosing an ICC to inform sample size estimates for future weight loss cRCTs conducted in primary care settings.
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Affiliation(s)
| | - Kara D Denstel
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
| | - Corby K Martin
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
| | | | - John W Apolzan
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
| | - Emily F Mire
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
| | | | | | - Andrew W Brown
- Department of Applied Health Science, School of Public Health-Bloomington, Indiana University, Bloomington, IN, USA
| | - Dachuan Zhang
- Pennington Biomedical Research Centre, Baton Rouge, LA, USA
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19
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Abstract
This review examines key studies published in 2021 that are related to primary prevention of atherosclerotic cardiovascular disease (ASCVD). Major randomized clinical trials (RCTs) concerning traditional risk factors or ASCVD events, meta‐analyses, and key observational studies related to primary prevention of ASCVD were considered. The review includes interventions for weight loss, cardiometabolic and renal disease, blood pressure control, diet, and the occurrence of cardiovascular disease events. A few studies considered both primary and secondary prevention populations. The review is not exhaustive. We did not include studies that focused on heart failure or clinical presentations that may be difficult to classify, such as acute or chronic ischemic cardiovascular disease without myocardial infarction. Our purpose was to highlight recent research that will help the reader stay abreast of the changing field of cardiovascular prevention.
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Affiliation(s)
- Tamar S Polonsky
- Department of Medicine University of Chicago Medicine Chicago IL
| | - Amit Khera
- Department of Medicine University of Texas, Southwestern Dallas TX
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20
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Manla Y, Almahmeed W. Cardiometabolic Clinics: Is There a Need for a Multidisciplinary Clinic? FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:880468. [PMID: 36992726 PMCID: PMC10012126 DOI: 10.3389/fcdhc.2022.880468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022]
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21
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Effectiveness of Strategies for Nutritional Therapy for Patients with Type 2 Diabetes and/or Hypertension in Primary Care: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074243. [PMID: 35409925 PMCID: PMC8998242 DOI: 10.3390/ijerph19074243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/05/2022] [Accepted: 03/07/2022] [Indexed: 02/04/2023]
Abstract
A central aspect to the management of type 2 Diabetes Mellitus (T2DM) and hypertension is promoting a healthy lifestyle, and nutritional therapy (NT) can support patients achieving glycemic control and blood pressure targets. This systematic review aimed to evaluate the effectiveness of NT in the management of patients with T2DM and/or hypertension in primary care. Primary outcomes were HbA1c, systolic blood pressure (SBP) and diastolic blood pressure (DBP). Thirty-nine studies were included, thirty on T2DM and nine on hypertension. With a moderate quality of evidence, educational/counseling programs and food replacement programs in primary care likely reduce HbA1c on patients with T2DM (mean difference (MD): −0.37, 95% CI: −0.57 to −0.17, 7437 patients, 27 studies; MD: −0.54, 95% CI: −0.75 to −0.32, 440 patients, 2 studies, respectively). Mediterranean diet for T2DM was accessed by one study, and no difference between the groups was found. Educational and counseling programs likely reduce DBP in patients with hypertension (MD: −1.79, 95% CI: −3.46, −0.12, 2840 patients, 9 studies, moderate quality of the evidence), but the effect in SBP was unclear due to risk of bias and imprecision. Nutritional therapy strategies (i.e., educational/counseling programs and food replacement programs) in primary care improved HbA1c in patients with T2DM and DBP in individuals with hypertension.
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22
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Liu J, Liao M, Huang R, You Y, Lin X, Yang H, Fan L, Zhong Y, Li X, Li J, Xiao X. Perinatal Combinational Exposure to Bisphenol A and a High-Fat Diet Contributes to Transgenerational Dysregulation of Cardiovascular and Metabolic Systems in Mice. Front Cell Dev Biol 2022; 10:834346. [PMID: 35281091 PMCID: PMC8908026 DOI: 10.3389/fcell.2022.834346] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 02/10/2022] [Indexed: 12/14/2022] Open
Abstract
Both bisphenol A (BPA) and high-fat diet (HFD) exert unfavorable effects on animals and humans; moreover, they could affect the health of their offspring. BPA and HFD often coexist in modern lifestyles; however, the long-term effects of simultaneous exposure of mothers to BPA and HFD during the perinatal period on the cardiovascular and metabolic systems of the offspring remain unclear. This study aimed to examine the effect of simultaneous exposure of mothers to BPA and HFD on the risk of metabolic and cardiovascular abnormalities in offspring. Institute of Cancer Research female mice (F0) were exposed to BPA and fed with HFD before and during gestation until the end of lactation. F0 mice were mated with untreated males to produce the first generation (F1); subsequently, adult F1 males/females were mated with normal females/males to produce the second generation (F2). Combined maternal exposure to BPA and HFD caused myocardial hypertrophy and aortic tunica media thickening as well as increased the cross-sectional area of cardiomyocytes and blood pressure in the matrilineal F2 generation. These cardiovascular changes might be associated with reduced endothelial nitric oxide synthase (eNOS) levels. The patrilineal female F2 was more likely to be obese than the patrilineal male F2. Re-feeding with a HFD showed a more significant weight gain and reduced energy expenditure. However, the aforementioned effects were not observed with exposure to HFD or BPA alone during the perinatal period. Our findings suggest that perinatal combinational exposure to BPA and HFD could cause metabolic and cardiovascular disorders in the offspring, Further, our findings demonstrate that the synergistic effects of HFD and BPA could be transmitted to future generations in a sex-dependent manner.
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Affiliation(s)
- Juncheng Liu
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Maolin Liao
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rongfeng Huang
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yuehua You
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaojing Lin
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hong Yang
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lei Fan
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Zhong
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Nutrition and Food Hygiene, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Xinyu Li
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Pharmacy, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jibin Li
- Department of Nutrition and Food Hygiene, School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Xiaoqiu Xiao
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- The Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Xiaoqiu Xiao,
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Patel KV, Segar MW, Lavie CJ, Kondamudi N, Neeland IJ, Almandoz JP, Martin CK, Carbone S, Butler J, Powell-Wiley TM, Pandey A. Diabetes Status Modifies the Association Between Different Measures of Obesity and Heart Failure Risk Among Older Adults: A Pooled Analysis of Community-Based NHLBI Cohorts. Circulation 2022; 145:268-278. [PMID: 34860539 PMCID: PMC8792339 DOI: 10.1161/circulationaha.121.055830] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Obesity and diabetes are associated with a higher risk of heart failure (HF). The interrelationships between different measures of adiposity-overall obesity, central obesity, fat mass (FM)-and diabetes status for HF risk are not well-established. METHODS Participant-level data from the ARIC study (Atherosclerosis Risk in Communities; visit 5) and the CHS (Cardiovascular Health Study; visit 1) cohorts were obtained from the National Heart, Lung, and Blood Institute Biologic Specimen and Data Repository Information Coordinating Center, harmonized, and pooled for the present analysis, excluding individuals with prevalent HF. FM was estimated in all participants using established anthropometric prediction equations additionally validated using the bioelectrical impedance-based FM in the ARIC subgroup. Incident HF events on follow-up were captured across both cohorts using similar adjudication methods. Multivariable-adjusted Fine-Gray models were created to evaluate the associations of body mass index (BMI), waist circumference (WC), and FM with risk of HF in the overall cohort as well as among those with versus without diabetes at baseline. The population attributable risk of overall obesity (BMI≥30 kg/m2), abdominal obesity (WC>88 and 102 cm in women and men, respectively), and high FM (above sex-specific median) for incident HF was evaluated among participants with and without diabetes. RESULTS The study included 10 387 participants (52.9% ARIC; 25.1% diabetes; median age, 74 years). The correlation between predicted and bioelectrical impedance-based FM was high (R2=0.90; n=5038). During a 5-year follow-up, 447 participants developed HF (4.3%). Higher levels of each adiposity measure were significantly associated with higher HF risk (hazard ratio [95% CI] per 1 SD higher BMI=1.15 [1.05, 1.27], WC=1.22 [1.10, 1.36]; FM=1.13 [1.02, 1.25]). A significant interaction was noted between diabetes status and measures of BMI (P interaction=0.04) and WC (P interaction=0.004) for the risk of HF. In stratified analysis, higher measures of each adiposity parameter were significantly associated with higher HF risk in individuals with diabetes (hazard ratio [95% CI] per 1 SD higher BMI=1.29 [1.14-1.47]; WC=1.48 [1.29-1.70]; FM=1.25 [1.09-1.43]) but not those without diabetes, including participants with prediabetes and euglycemia. The population attributable risk percentage of overall obesity, abdominal obesity, and high FM for incident HF was higher among participants with diabetes (12.8%, 29.9%, and 13.7%, respectively) versus those without diabetes (≤1% for each). CONCLUSIONS Higher BMI, WC, and FM are strongly associated with greater risk of HF among older adults, particularly among those with prevalent diabetes.
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Affiliation(s)
- Kershaw V. Patel
- Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
| | | | - Carl J. Lavie
- Department of Internal Medicine, Ochsner Clinical School-The University of Queensland School of Medicine, New Orleans, Louisiana
| | - Nitin Kondamudi
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ian J. Neeland
- University Hospitals Harrington Heart and Vascular Institute and Case Western Reserve University School of Medicine, Cleveland, OH
| | - Jaime P. Almandoz
- Division of Endocrinology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Corby K. Martin
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Salvatore Carbone
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA,VCU Pauley Heart Center, Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA
| | - Javed Butler
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS
| | - Tiffany M. Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD,Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD
| | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
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24
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Abstract
Obesity is a treatable chronic disease. Primary care providers play an essential role in diagnosis, treatment, and comprehensive care of patients with obesity. In recent years, treatment approaches have rapidly evolved, increasing effective and safe therapies. In this review, we provide practical information on the care of patients with obesity with a focus on antiobesity pharmacotherapy within the context of currently available therapeutic modalities such as intensive lifestyle interventions and bariatric surgery.
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Affiliation(s)
- Mona Gossmann
- Department of Internal Medicine (Endocrinology & Metabolism), Yale University School of Medicine, New Haven, CT, USA
| | - W Scott Butsch
- Department of Surgery, Bariatric and Metabolic Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Internal Medicine and Geriatrics, Bariatric and Metabolic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ania M Jastreboff
- Department of Internal Medicine (Endocrinology & Metabolism), Yale University School of Medicine, New Haven, CT, USA; Department of Pediatrics (Pediatric Endocrinology), Yale University School of Medicine, New Haven, CT, USA.
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