Obesity Science & Practice最新文献

{"title":"Factors associated with different patterns of weight change after bariatric surgery: A longitudinal study.","authors":"Diana Cristina Henao Carrillo,&nbsp;Ana María Gómez,&nbsp;Oscar M Muñoz,&nbsp;Claudia Rubio,&nbsp;Natalia Rodríguez,&nbsp;Valentina Ursida,&nbsp;Ana Milena Forero,&nbsp;Fabio Pinzón,&nbsp;Rami Mikler","doi":"10.1002/osp4.675","DOIUrl":"10.1002/osp4.675","url":null,"abstract":"<p><strong>Background: </strong>The mean weight loss (WL) after successful bariatric surgery is approximately one third of the initial body weight, which is mainly achieved between the first 2 years of follow-up. However, 15%-35% of patients do not achieve a significant percentage of total WL (%TWL). Information on factors associated with a higher or lower WL after bariatric surgery is limited. This study aimed to assess the change in %TWL and describe the factors associated with greater or lesser WL over time.</p><p><strong>Methods: </strong>This prospective longitudinal study included patients treated with laparoscopic Roux-en-Y gastric bypass or sleeve gastrectomy. Baseline data were recorded before surgery. Follow-up was performed at 3 (<i>n</i> = 141), 6 (<i>n</i> = 208), 9 (<i>n</i> = 115), 12 (<i>n</i> = 216), 24 (<i>n</i> = 166), and 36 months (<i>n</i> = 99). Generalized estimating equation analysis was performed to assess the changes in %TWL over time and factors associated with different patterns of WL.</p><p><strong>Results: </strong>In total, 231 patients were included (women, 82.2%; basal body mass index (BMI) 41.4 ± 5.1 kg/m²). The tendencies to increase %TWL (32 ± 6.5) were evident in the first year and stabilized thereafter. Sustained nutritionist follow-up (2.3%, <i>p</i> = 0.004), baseline BMI >40 kg/m² (0.4%, <i>p</i> < 0.001), and WL ≥ 10 kg before surgery (0.3%, <i>p</i> = 0.001) were associated with a higher %TWL. Patients who performed physical activity >30 min/day after surgery reduced their %TWL by 0.6% (<i>p</i> = 0.002).</p><p><strong>Conclusions: </strong>Modifiable factors such as nutritional monitoring and WL before surgery are associated with a significant increase in %TWL over time. Basal BMI was associated with a significant decrease in %TWL.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"477-483"},"PeriodicalIF":2.2,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41105566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of telehealth-based versus in-person nutritional and exercise intervention on type II diabetes mellitus improvement and efficiency of human resources utilization in patients with obesity.","authors":"Shruthi Rajkumar, Elana Davidson, Michael Bell, Christina Reardon, Abby Lapolla, Maria Michelakis, Yannis Raftopoulos","doi":"10.1002/osp4.667","DOIUrl":"10.1002/osp4.667","url":null,"abstract":"<p><strong>Aims: </strong>Telehealth became a patient necessity during the COVID pandemic and evolved into a patient preference in the post-COVID era. This study compared the % total body weight loss (%TBWL), HbA1c reduction, and resource utilization among patients with obesity and diabetes who participated in lifestyle interventions with or without telehealth.</p><p><strong>Methods: </strong>A total of 150 patients with obesity and diabetes who were followed every 4-6 weeks either in-person (<i>n</i> = 83) or via telehealth (<i>n</i> = 67), were included. All patients were provided with an individualized nutritional plan that included a weight-based daily protein intake from protein supplements and food, an activity/sleep schedule-based meal times, and an aerobic exercise goal of a 2000-calorie burn/week, customized to patient's preferences, physical abilities, and comorbidities. The goal was to lose 10%TBWL. Telehealth-based follow-up required transmission via texting of weekly body composition measurements and any blood glucose levels below 100 mg/dl for medication adjustments. Weight, BMI, %TBWL, HbA1c (%), and medication effect score (MES) were compared. Patient no-show rates, number of visits, program duration, and drop-out rate were used to assess resource utilization based on cumulative staff and provider time spent (CSPTS), provider lost time (PLT) and patient spent time (PST).</p><p><strong>Results: </strong>Mean age was 47.2 ± 10.6 years and 74.6% were women. Mean Body Mass Index (BMI) decreased from 44.1 ± 7.7-39.7 ± 6.7 kg/m² (<i>p</i> < 0.0001). Mean program duration was 189.4 ± 169.3 days. An HbA1c% unit decline of 1.3 ± 1.5 was achieved with a 10.1 ± 5.1%TBWL. Diabetes was cured in 16% (24/150) of patients. %TBWL was similar in regards to telehealth or in-person appointments (10.6% ± 5.1 vs. 9.6% ± 4.9, <i>p</i> = 0.14). Age, initial BMI, MES, %TBWL, and baseline HbA1c had a significant independent effect on HbA1c reduction (<i>p</i> < 0.0001). Program duration was longer for in-person follow-up (213.8 ± 194 vs. 159.3 ± 127, <i>p</i> = 0.019). The mean annual telehealth and in-person no-show rates were 2.7% and 11.2%, respectively (<i>p</i> < 0.0001). Mean number of visits (5.7 ± 3.0 vs. 8.6 ± 5.1) and drop-out rates (16.49% vs. 25.83%) were lower in telehealth group (<i>p</i> < 0.0001). The CSPTS (440.4 ± 267.5 min vs. 200.6 ± 110.8 min), PLT (28.9 ± 17.5 min vs. 3.1 ± 1.6 min), and PST (1033 ± 628 min vs. 113.7 ± 61.4 min) were significantly longer (<i>p</i> < 0.0001) for the in-person group.</p><p><strong>Conclusions: </strong>Telehealth offered comparable %TBWL and HbA1c decline as in-person follow-up, but with a shorter follow-up, fewer appointments, and no-shows. If improved resource utilization is validated by other studies, telehealth should become the standard of care for the management of obesity and diabetes.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"468-476"},"PeriodicalIF":1.9,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41168133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing public perception and awareness of UK mandatory calorie labeling in the out-of-home sector: Using Twitter and Google trends data.","authors":"Megan Polden, Eric Robinson, Andrew Jones","doi":"10.1002/osp4.674","DOIUrl":"10.1002/osp4.674","url":null,"abstract":"<p><strong>Objectives: </strong>In 2021 the UK government announced a new obesity policy requiring large out-of-home food outlets to provide mandatory in-store calorie labeling on food and drink items. Public acceptability and engagement with obesity policies could influence the level of impact on wider public health particularly with population-level policies such as calorie labeling. This study aimed to examine public responses and awareness of the policy using social media (Twitter) comments and Google trends data.</p><p><strong>Methods: </strong>This study examined responses to social media posts on Twitter (tweets) from the UK Department of Health and Social Care detailing the policy, implementation date and post-implementation information about the policy's enforcement. The sentiments of the tweets were coded and the number of likes and replies extracted. This study utilized google trends to examine public awareness of the policy by extracting weekly relative search volume for relevant phrases such as \"calorie labeling.\"</p><p><strong>Results: </strong>From the 276 replies/quote-tweet extracted, the majority expressed a negative sentiment toward the policy (<i>N</i> = 197/71.4%). There were fewer tweets expressing a positive sentiment (<i>N</i> = 25/8.7%) and a neutral/no sentiment (<i>N</i> = 54/19.6%). There was no difference in the number of \"likes\" or retweets between tweets expressing positive or negative sentiments. Five themes were identified expressing negative sentiments (most common being negative impacts on eating disorders). Google trends data revealed increased searches for \"calorie labels/labeling\" during the week of the policy enforcement compared to previous weeks in the last 5 years but no significant differences in searches for specific menu calorie labeling.</p><p><strong>Conclusions: </strong>This analysis revealed negative sentiment toward and increased searching of calorie labeling information during the announcement and implementation of the 2021 mandatory calorie labeling policy in England. A greater understanding of public responses to calorie labeling policies may help tailor future policies and public communication strategies.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"459-467"},"PeriodicalIF":1.9,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551121/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41158586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retention and weight outcomes after transitioning an intensive behavioral weight management program from an in-person to a virtual format.","authors":"Amy E Rothberg, Deanna J Marriott, Nicole M Miller, William H Herman","doi":"10.1002/osp4.673","DOIUrl":"10.1002/osp4.673","url":null,"abstract":"<p><strong>Background: </strong>Virtual care offers many potential advantages over traditional in-person care for people with chronic diseases including obesity. Before the COVID-19 pandemic, virtual care was not broadly implemented because of regulatory, legal, and reimbursement barriers.</p><p><strong>Objective: </strong>To evaluate the impact of the transition from an entirely in-person format to a virtual format during the COVID-19 pandemic on retention and weight reduction in a 2-year, structured, intensive behavioral weight management program for people with moderate to severe obesity.</p><p><strong>Methods: </strong>Retrospective cohort study of 1313 program participants stratified according to the phase of the program during which the transition to virtual visits occurred.</p><p><strong>Results: </strong>Age, sex, and baseline weight were independent predictors of program retention. Transition to virtual visits was associated with greater 2-year program retention. Retention but not mode of program delivery was associated with reduction in weight at 2-year.</p><p><strong>Conclusions: </strong>Transition from in-person to virtual program delivery improved retention and by doing so, indirectly improved weight loss at 2 years. Telemedicine has the potential to overcome many of the limitations associated with traditional in-person weight loss interventions.</p><p><strong>Clinical trial registration: </strong>This research was reviewed and approved by the University of Michigan Institutional Review Board and registered on ClinicalTrials.gov (NCT02043457). All participants provided written informed consent.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"452-458"},"PeriodicalIF":1.9,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41143174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication about weight-related issues with adult patients with obesity in general practice: A scoping review.","authors":"Cecilie Sonne Lindberg, Annelli Sandbaek, Sissel Due Jensen, Jens Meldgaard Bruun, Pernille Andreassen","doi":"10.1002/osp4.669","DOIUrl":"10.1002/osp4.669","url":null,"abstract":"<p><strong>Background: </strong>Primary care providers see patients with obesity in general practice every day but may be challenged regarding communication about obesity. The research question of this study is: how do general practitioners and general practice staff and adult patients with obesity communicate about weight-related issues?</p><p><strong>Methods: </strong>A scoping review approach was used, searching PubMed, Scopus and CINAHL for peer-reviewed studies - of both quantitative and/or qualitative study designs, and published between 2001 and 2021.</p><p><strong>Results: </strong>Twenty articles were included. The weight-related issues discussed were by far physical issues, and only one study mentioned psychosocial issues. Most of the included studies contained information on who initiates the communication, how the weight-related issues are addressed and handled, and also obstacles and challenges in relation to the communication. The studies lacked information of when the weight-related issues are addressed and differences in views and experiences when discussing weight-related issues in general practice.</p><p><strong>Conclusion: </strong>Studies with the main focus communication about obesity and overall health in general practice are needed. Findings also indicate, that non-stigmatizing communication tools and guidelines are needed on this area to promote these types of conservations.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"548-570"},"PeriodicalIF":1.9,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41167714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Weight loss maintenance after a digital commercial behavior change program (Noom Weight): Observational cross-sectional survey study.","authors":"Christine N May, Matthew Cox-Martin, Annabell Suh Ho, Meaghan McCallum, Caroline Chan, Kelly Blessing, Heather Behr, Paige Blanco, Ellen Siobhan Mitchell, Andreas Michaelides","doi":"10.1002/osp4.666","DOIUrl":"10.1002/osp4.666","url":null,"abstract":"<p><strong>Background: </strong>Behavioral weight loss programs often lead to significant short-term weight loss, but long-term weight maintenance remains a challenge. Most weight maintenance data come from clinical trials, in-person programs, or general population surveys, but there is a need for better understanding of long-term weight maintenance in real-world digital programs.</p><p><strong>Methods: </strong>This observational survey study examined weight maintenance reported by individuals who had used Noom Weight, a digital commercial behavior change program, and identified factors associated with greater weight maintenance. The cross-sectional survey was completed by 840 individuals who had lost at least 10% of their body weight using Noom Weight 6-24 months prior.</p><p><strong>Results: </strong>The study found that 75% of individuals maintained at least 5% weight loss after 1 year, and 49% maintained 10% weight loss. On average, 65% of initial weight loss was maintained after 1 year and 57% after 2 years. Habitual behaviors, such as healthy snacking and exercise, were associated with greater weight maintenance, while demographic factors were not.</p><p><strong>Conclusion: </strong>This study provides real-world data on the long-term weight maintenance achieved using a fully digital behavioral program. The results suggest that Noom Weight is associated with successful weight maintenance in a substantial proportion of users. Future research will use a randomized controlled trial to track weight maintenance after random assignment and at a 2 year follow-up.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"443-451"},"PeriodicalIF":1.9,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/c7/10/OSP4-9-443.PMC10551118.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41142787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The forgotten patient: A psychological perspective on the implementation of bariatric surgery guidelines.","authors":"Lynne Johnston, Kacey Jackson, Charlotte Hilton, Yitka Graham","doi":"10.1002/osp4.670","DOIUrl":"10.1002/osp4.670","url":null,"abstract":"<p><p>There is strong evidence demonstrating the impact of bariatric surgery on weight-loss and comorbidity improvement. In the UK, there is specific guidance to facilitate the assessment of a person's suitability for bariatric surgery. This paper highlights the clinical reality of routinely implementing this guidance, supported by literature and the perspectives of practicing psychologists. The consequences of the implementation of clinical guidelines within the context of the typical biopsychosocial profile of those referred for bariatric surgery are discussed. The ramifications of a screening approach rather than a clinical formulation-based approach to assessment, impact of a possible unconscious bias in commissioning and an overemphasis on a biomedical model approach to treatment are also presented. These contextual factors are argued to contribute to a population of \"forgotten patients\" that is, patients who have been assessed as not suitable for bariatric surgery, and thus \"stuck\" in their journey toward better health. For these individuals the only option left are energy balance only approaches, which are the very same approaches to weight-loss and comorbidity improvement that have been attempted, often for many years. Not only have these approaches not resulted in weight-loss and health improvement, they also fail to address the underlying psychological causes of obesity. Consequently, this lack of support means that patients continue to suffer from poor quality of life, with no clear pathway to improved health and wellbeing. This paper illuminates the clear gaps in weight management service provision, the implementation of guidelines in practice, and offers practical suggestions to reduce the unintended consequences of clinical guidelines for bariatric surgery.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 5","pages":"538-547"},"PeriodicalIF":1.9,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551119/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41153867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modification and refinement of three-dimensional reconstruction to estimate body volume from a simulated single-camera image.","authors":"Chuang-Yuan Chiu,&nbsp;Marcus Dunn,&nbsp;Ben Heller,&nbsp;Sarah M Churchill,&nbsp;Tom Maden-Wilkinson","doi":"10.1002/osp4.627","DOIUrl":"https://doi.org/10.1002/osp4.627","url":null,"abstract":"<p><strong>Objective: </strong>Body volumes (BV) are used for calculating body composition to perform obesity assessments. Conventional BV estimation techniques, such as underwater weighing, can be difficult to apply. Advanced machine learning techniques enable multiple obesity-related body measurements to be obtained using a single-camera image; however, the accuracy of BV calculated using these techniques is unknown. This study aims to adapt and evaluate a machine learning technique, synthetic training for real accurate pose and shape (STRAPS), to estimate BV.</p><p><strong>Methods: </strong>The machine learning technique, STRAPS, was applied to generate three-dimensional (3D) models from simulated two-dimensional (2D) images; these 3D models were then scaled with body stature and BV were estimated using regression models corrected for body mass. A commercial 3D scan dataset with a wide range of participants (<i>n</i> = 4318) was used to compare reference and estimated BV data.</p><p><strong>Results: </strong>The developed methods estimated BV with small relative standard errors of estimation (<7%) although performance varied when applied to different groups. The BV estimated for people with body mass index (BMI) < 30 kg/m² (1.9% for males and 1.8% for females) were more accurate than for people with BMI ≥ 30 kg/m² (6.9% for males and 2.4% for females).</p><p><strong>Conclusions: </strong>The developed method can be used for females and males with BMI < 30 kg/m² in BV estimation and could be used for obesity assessments at home or clinic settings.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 2","pages":"103-111"},"PeriodicalIF":2.2,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/3c/59/OSP4-9-103.PMC10073827.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9326581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A pilot randomized controlled trial of liraglutide 3.0 mg for binge eating disorder.","authors":"Kelly C Allison,&nbsp;Ariana M Chao,&nbsp;Maija B Bruzas,&nbsp;Courtney McCuen-Wurst,&nbsp;Elizabeth Jones,&nbsp;Cooper McAllister,&nbsp;Kathryn Gruber,&nbsp;Robert I Berkowitz,&nbsp;Thomas A Wadden,&nbsp;Jena S Tronieri","doi":"10.1002/osp4.619","DOIUrl":"https://doi.org/10.1002/osp4.619","url":null,"abstract":"<p><strong>Objective: </strong>To assess the efficacy of liraglutide 3.0 mg, a glucagon-like peptide-1 (GLP-1) receptor agonist, for binge eating disorder (BED).</p><p><strong>Methods: </strong>Adults with a body mass index (BMI) ≥ 27 kg/m² enrolled in a pilot, 17-week double-blind, randomized controlled trial of liraglutide 3.0 mg/day for BED. The primary outcome was number of objective binge episodes (OBEs)/week. Binge remission, weight change, and psychosocial variables were secondary outcomes. Mixed effect models were used for continuous variables, and generalized estimating equations were used for remission rates.</p><p><strong>Results: </strong>Participants (<i>n</i> = 27) were 44.2 ± 10.6 years; BMI = 37.9 ± 11.8 kg/m²; 63% women; and 59% White and 41% Black. At baseline, the liraglutide group (<i>n</i> = 13) reported 4.7 ± 0.7 OBEs/week, compared with 3.0 ± 0.7 OBEs/week for the placebo group, <i>p</i> = 0.07. At week 17, OBEs/week decreased by 4.0 ± 0.6 in liraglutide participants and by 2.5 ± 0.5 in placebo participants (<i>p</i> = 0.37, mean difference = 1.2, 95% confidence interval 1.3, 2.0). BED remission rates of 44% and 36%, respectively, did not differ. Percent weight loss was significantly greater in the liraglutide versus the placebo group (5.2 ± 1.0% vs. 0.9 ± 0.7%, <i>p</i> = 0.005).</p><p><strong>Conclusion: </strong>Participants in both groups reported reductions in OBEs, with the liraglutide group showing clinically meaningful weight loss. A pharmacy medication dispensing error was a significant limitation of this study. Further research on liraglutide and other GLP-1 agonists for BED is warranted.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 2","pages":"127-136"},"PeriodicalIF":2.2,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/50/2f/OSP4-9-127.PMC10073825.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9642100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BMI is not independently associated with coronary artery calcification in a large single-center CT cohort.","authors":"Sibel Altintas,&nbsp;Samanta van Workum,&nbsp;Madeleine Kok,&nbsp;Ivo A P G Joosen,&nbsp;Mathijs O Versteylen,&nbsp;Patricia J Nelemans,&nbsp;Joachim E Wildberger,&nbsp;Harry J G M Crijns,&nbsp;Marco Das,&nbsp;Bas L J H Kietselaer","doi":"10.1002/osp4.636","DOIUrl":"https://doi.org/10.1002/osp4.636","url":null,"abstract":"<p><strong>Objective: </strong>Obesity is associated with cardiovascular disease (CVD) and CVD mortality. However, previous reports showed a paradoxical protective effect in patients with known CVD referred as \"obesity paradox\". Therefore, the aim of the present study was to investigate the association of body mass index (BMI) with coronary artery calcification (CAC) in a large outpatient cardiac CT cohort.</p><p><strong>Methods: </strong>4.079 patients who underwent cardiac CT between December 2007-May 2014 were analyzed. BMI and clinical risk factors (current smoking, diabetes mellitus type 2, family history, systolic blood pressure, lipid spectrum) were assessed. Missing values were imputed using multiple imputation. CAC extent was categorized as absent (0), mild (>0-100), moderate (>100-400) and severe (>400).</p><p><strong>Results: </strong>Multivariable multinomial logistic regression analysis, including all risk factors as independent variables, showed no association between BMI and CAC. Using absence of calcification as reference category, the odds ratios per unit increase in BMI were 1.01 for mild; 1.02 for moderate; and 1.00 for severe CAC (<i>p</i>-values ≥0.103).</p><p><strong>Conclusions: </strong>No statistically significant association was observed between BMI and CAC after adjustment for other risk factors.</p>","PeriodicalId":19448,"journal":{"name":"Obesity Science & Practice","volume":"9 2","pages":"172-178"},"PeriodicalIF":2.2,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7a/b2/OSP4-9-172.PMC10073817.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9627499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}