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      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

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      1 , 1 , 1 , 2 , 3 , 3 , 4 , 5 , 6 , 6 , 7 , 7 , 8 , 9 , 10 , 11 , 12 , 12 , 13 , 13 , 14 , 14 , 15 , 1 , 16 , 17 , 9 , 18 , 19 , 2 , , 1 , 16 ,
      Diabetologia
      Springer Berlin Heidelberg
      Cardiovascular disease, Men, Middle-aged people, Obesity, Older people, Weight loss, Weight loss maintenance, Women, Young people

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          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, HbA 1c 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 HbA 1c, LDL-cholesterol and diastolic blood pressure. After the WM intervention, women had greater fat-free mass and bone mass loss and smaller improvements in HbA 1c 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.

          Graphical abstract

          Supplementary Information

          The online version contains peer-reviewed but unedited supplementary material available at 10.1007/s00125-022-05716-3.

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          Most cited references48

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          Health Effects of Overweight and Obesity in 195 Countries over 25 Years.

          Background While the rising pandemic of obesity has received significant attention in many countries, the effect of this attention on trends and the disease burden of obesity remains uncertain. Methods We analyzed data from 67.8 million individuals to assess the trends in obesity and overweight prevalence among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body mass index (BMI), by age, sex, cause, and BMI level in 195 countries between 1990 and 2015. Results In 2015, obesity affected 107.7 million (98.7-118.4) children and 603.7 million (588.2- 619.8) adults worldwide. Obesity prevalence has doubled since 1980 in more than 70 countries and continuously increased in most other countries. Although the prevalence of obesity among children has been lower than adults, the rate of increase in childhood obesity in many countries was greater than the rate of increase in adult obesity. High BMI accounted for 4.0 million (2.7- 5.3) deaths globally, nearly 40% of which occurred among non-obese. More than two-thirds of deaths related to high BMI were due to cardiovascular disease. The disease burden of high BMI has increased since 1990; however, the rate of this increase has been attenuated due to decreases in underlying cardiovascular disease death rates. Conclusions The rapid increase in prevalence and disease burden of elevated BMI highlights the need for continued focus on surveillance of BMI and identification, implementation, and evaluation of evidence-based interventions to address this problem.
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            2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society.

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              • Article: not found

              2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2022

              (2022)
              The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes the ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA’s clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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                Author and article information

                Contributors
                mikael.fogelholm@helsinki.fi
                ara@nexs.ku.dk
                Journal
                Diabetologia
                Diabetologia
                Diabetologia
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0012-186X
                1432-0428
                25 May 2022
                25 May 2022
                2022
                : 65
                : 8
                : 1262-1277
                Affiliations
                [1 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Department of Nutrition, Exercise and Sports, Faculty of Science, , University of Copenhagen, ; Copenhagen, Denmark
                [2 ]GRID grid.7737.4, ISNI 0000 0004 0410 2071, Department of Food and Nutrition, , University of Helsinki, ; Helsinki, Finland
                [3 ]GRID grid.9654.e, ISNI 0000 0004 0372 3343, Human Nutrition Unit, School of Biological Sciences, Department of Medicine, , University of Auckland, ; Auckland, New Zealand
                [4 ]GRID grid.10772.33, ISNI 0000000121511713, CINTESIS, NOVA Medical School (NMS), , Universidade Nova de Lisboa, ; Lisboa, Portugal
                [5 ]GRID grid.460114.6, Institute for Nursing Science, , University of Education Schwäbisch Gmünd, ; Schwäbisch Gmünd, Germany
                [6 ]GRID grid.4827.9, ISNI 0000 0001 0658 8800, Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, , Swansea University, ; Swansea, UK
                [7 ]GRID grid.410563.5, ISNI 0000 0004 0621 0092, Department of Pharmacology and Toxicology, , Medical University of Sofia, ; Sofia, Bulgaria
                [8 ]GRID grid.5924.a, ISNI 0000000419370271, Centre for Nutrition Research, , University of Navarra, ; Pamplona, Spain
                [9 ]GRID grid.413448.e, ISNI 0000 0000 9314 1427, Centro de Investigacion Biomedica en Red Area de Fisiologia de la Obesidad y la Nutricion (CIBEROBN), , Instituto de Salud Carlos III (ISCII), ; Madrid, Spain
                [10 ]IdisNA Instituto for Health Research, Pamplona, Spain
                [11 ]GRID grid.14758.3f, ISNI 0000 0001 1013 0499, Finnish Institute for Health and Welfare, ; Helsinki, Finland
                [12 ]GRID grid.5012.6, ISNI 0000 0001 0481 6099, Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, , Maastricht University, ; Maastricht, the Netherlands
                [13 ]GRID grid.4563.4, ISNI 0000 0004 1936 8868, 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
                [14 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, School of Life and Environmental Sciences and Charles Perkins Centre, , University of Sydney, ; Sydney, Australia
                [15 ]GRID grid.436636.2, NetUnion, ; Lausanne, Switzerland
                [16 ]Clinical Research, Copenhagen University Hospital – Steno Diabetes Center Copenhagen, Herlev, Denmark
                [17 ]GRID grid.5254.6, ISNI 0000 0001 0674 042X, Department of Biomedical Sciences, , University of Copenhagen, ; Copenhagen, Denmark
                [18 ]GRID grid.5924.a, ISNI 0000000419370271, Department of Nutrition and Physiology, , University of Navarra, ; Pamplona, Spain
                [19 ]GRID grid.429045.e, ISNI 0000 0004 0500 5230, Precision Nutrition and Cardiometabolic Health Program, , IMDEA-Food Institute, Madrid Institute for Advanced Studies, CEI UAM + CSIC, ; Madrid, Spain
                Author information
                https://orcid.org/0000-0003-2170-4667
                https://orcid.org/0000-0001-6740-8113
                https://orcid.org/0000-0002-8551-1234
                https://orcid.org/0000-0002-9987-1716
                https://orcid.org/0000-0002-2214-8378
                https://orcid.org/0000-0001-9327-2897
                https://orcid.org/0000-0002-1034-1613
                https://orcid.org/0000-0003-0813-7477
                https://orcid.org/0000-0001-5618-0803
                https://orcid.org/0000-0002-9717-7106
                https://orcid.org/0000-0001-8307-343X
                https://orcid.org/0000-0002-5163-2230
                https://orcid.org/0000-0002-7840-5003
                https://orcid.org/0000-0003-3896-043X
                https://orcid.org/0000-0001-9353-6258
                https://orcid.org/0000-0002-7540-9850
                https://orcid.org/0000-0002-6797-8754
                https://orcid.org/0000-0002-4374-0362
                https://orcid.org/0000-0002-3940-7129
                https://orcid.org/0000-0002-8977-9983
                https://orcid.org/0000-0002-6127-0448
                https://orcid.org/0000-0001-5218-6941
                https://orcid.org/0000-0001-8110-102X
                http://orcid.org/0000-0001-5229-4491
                Article
                5716
                10.1007/s00125-022-05716-3
                9283166
                35610522
                68fbbd61-7924-4863-9996-e2c56d416d3e
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 January 2022
                : 31 March 2022
                Funding
                Funded by: This article was supported by EU framework programme 7 (FP7/2007-2013) grant agreement # 312057; National Health and Medical Research Council - EU Collaborative Grant, AUS 8, ID 1067711); The Glycemic Index Foundation Australia through royalties to the University of Sydney; The New Zealand Health Research Council (grant #14/191) and University of Auckland Faculty Research Development Fund; The Cambridge Weight Plan© donated all products for the 8-weeks weight loss period; The Danish Agriculture
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                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Endocrinology & Diabetes
                cardiovascular disease,men,middle-aged people,obesity,older people,weight loss,weight loss maintenance,women,young people

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