International Journal of Obesity最新文献

{"title":"Association between weight changes and infective endocarditis in patients with diabetes: A nationwide population-based cohort study.","authors":"Jung Ho Kim, Se Hee Park, Se Ju Lee, Jinnam Kim, Won Kyung Pyo, Hee-Jung Kim, Jin Young Ahn, Su Jin Jeong, Jun Yong Choi, Joon-Sup Yeom, Kyungdo Han, Nam Su Ku, Seung Hyun Lee","doi":"10.1038/s41366-024-01687-0","DOIUrl":"10.1038/s41366-024-01687-0","url":null,"abstract":"<p><strong>Backgrounds: </strong>The association between weight change in patients with diabetes, and the development of infective endocarditis (IE) has never been studied. Therefore, we evaluated the associations of weight changes in patients with diabetes with the development of IE.</p><p><strong>Methods: </strong>In this Korean population-based cohort study, we included patients with diabetes aged ≥20 years who underwent health screenings twice in a 2-year interval between 2009 and 2012. Patients were categorized into five groups according to the degree of weight change between the two health screenings and were followed up until December 2018. A patient with a weight change of ≤-10% was designated to the severe weight loss group, -10 to ≤-5% to the moderate weight loss group, -5 to ≤5% to the stable weight group, 5 to ≤10% to the moderate weight gain group, and ≥10% to the severe weight gain group. The primary outcome was the incidence of IE.</p><p><strong>Results: </strong>A total of 1,762,108 patients with diabetes were included. There were 67,580 (3.9%) individuals with severe weight loss, 247,969 (14.1%) with moderate weight loss, 1,267,849 (72.0%) with stable weight, 135,774 (7.7%) with moderate weight gain, 42,936 (2.4%) with severe weight gain. During the follow-up (median, 5.21 years), 828 cases of IE occurred. After adjusting for covariates, both weight loss (HR: 2.41, 95% CI: 1.87-3.12 for the severe weight loss group; HR: 1.28, 95% CI: 1.05-1.55 for the moderate weight loss group) and weight gain (HR: 1.17, 95% CI: 0.91-1.50 for the moderate weight gain group; HR: 1.59, 95% CI: 1.11-2.28 for the severe weight gain group) were associated with an increased risk of IE compared to those for the stable weight group.</p><p><strong>Conclusion: </strong>Both weight gain and weight loss are associated with an increased incidence of IE, and the greater the degree of weight change, the greater the risk.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"658-664"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999861/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142686818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between phenotypes of childhood and adolescent obesity and incident hypertension in young adulthood.","authors":"Ruth G St Fleur, Marian Tanofsky-Kraff, Jack A Yanovski, Nicholas J Horton, Laura Reich, Jorge E Chavarro, Joel N Hirschhorn, Hannah N Ziobrowski, Alison E Field","doi":"10.1038/s41366-024-01700-6","DOIUrl":"10.1038/s41366-024-01700-6","url":null,"abstract":"<p><strong>Objectives: </strong>We investigated whether empirically derived childhood obesity phenotypes were differentially associated with risk of hypertension in young adulthood, and whether these associations differed by sex.</p><p><strong>Methods: </strong>Data came from 11,404 participants in the Growing Up Today Study, a prospective cohort study in the US established in 1996. We used a childhood obesity phenotype variable that was previously empirically derived using latent class analysis. The childhood obesity phenotypes included an early puberty phenotype (females only), a mothers with obesity phenotype, a high weight concerns phenotype, and a mixed phenotype. Participants without overweight or obesity in childhood or adolescence were the reference group. We then used logistic regression models with generalized estimating equations to examine associations of childhood obesity phenotypes with incident hypertension between ages 20-35 years. All analyses were stratified by sex.</p><p><strong>Results: </strong>Among females, participants in all of the empirically derived childhood obesity phenotypes were more likely than their peers without childhood overweight/obesity to develop hypertension in young adulthood (early puberty subtype odds ratio (OR) = 2.52; 95% confidence interval (CI) = 1.75, 3.62; mothers with obesity (MO) subtype OR = 2.98; 95% CI = 1.93, 4.59; high weight concerns (WC) subtype OR = 2.33; 95% CI = 1.65, 3.28; mixed subtype OR = 1.66; 95% CI = 1.25, 2.20). Among males, the childhood obesity phenotypes were associated with a higher risk of developing hypertension, although males in the MO (OR = 2.65; 95% CI = 1.82, 3.87) and WC phenotypes (OR = 3.52; 95% CI = 2.38, 5.20) had a greater risk of developing hypertension than the mixed subtype (OR = 1.51; 95% CI = 1.23, 1.86) (p = 0.004).</p><p><strong>Conclusion: </strong>Risk for incident hypertension in young adulthood varied by childhood obesity phenotypes, as well as by biological sex. If replicated, these results may suggest that increased surveillance of specific childhood obesity phenotypes might help in targeting those at highest risk for hypertension.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"715-722"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142836560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a machine learning model for predicting pediatric metabolic syndrome using anthropometric and bioelectrical impedance parameters.","authors":"Youngha Choi, Kanghyuck Lee, Eun Gyung Seol, Joon Young Kim, Eun Byoul Lee, Hyun Wook Chae, Taehoon Ko, Kyungchul Song","doi":"10.1038/s41366-025-01761-1","DOIUrl":"10.1038/s41366-025-01761-1","url":null,"abstract":"<p><strong>Objective: </strong>Metabolic syndrome (MS) is a risk factor for cardiovascular diseases, and its prevalence is increasing among children and adolescents. This study developed a machine learning model to predict MS using anthropometric and bioelectrical impedance analysis (BIA) parameters, highlighting its ability to handle complex, nonlinear variable relationships more effectively than traditional methods such as logistic regression.</p><p><strong>Methods: </strong>The study included 359 youths from the Korea National Health and Nutrition Examination Survey (KNHANES; 16 MS, 343 normal) and 174 youths from real-world clinical data (66 MS, 108 normal). Model 1 used anthropometric data, Model 2 used BIA parameters, and Model 3 combined both. The eXtreme Gradient Boosting trained the models, and area under the receiver operating characteristic curve (AUC) evaluated performance. Shapley value analysis was applied to assess the contribution of each parameter to the model's prediction.</p><p><strong>Results: </strong>The AUCs for Models 1, 2, and 3 were 0.75, 0.66, and 0.90, respectively, in the KNHANES dataset, and 0.56, 0.61, and 0.74, respectively, in the real-world dataset. In pairwise comparison, Model 3 outperformed both Model 1 and Model 2 in both the KNHANES dataset (Model 1 vs. Model 3, p = 0.026; Model 2 vs. Model 3, p = 0.033) and the real-world dataset (Model 1 vs. Model 3, p = 0.035; Model 2 vs. Model 3, p = 0.008). Body fat mass was identified as the most significant contributor to Model 3.</p><p><strong>Conclusion: </strong>The integrated model using both anthropometric and BIA parameters demonstrated strong predictability for pediatric MS, underlining its potential as an effective screening tool for MS in both clinical and general populations.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143763921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between body shape index and arterial stiffness: results of the EVasCu study and a meta-analysis.","authors":"Alicia Saz-Lara, Iván Cavero-Redondo, Nerea Moreno-Herráiz, Elena Rescalvo-Fernández, Carlos Berlanga-Macías, María Medrano, Rosa María Fuentes Chacón, Carlos Pascual-Morena","doi":"10.1038/s41366-024-01663-8","DOIUrl":"10.1038/s41366-024-01663-8","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to analyse the association between body shape index (ABSI) and arterial stiffness in healthy subjects using data from the EVasCu study. In addition, a meta-analysis was performed to compare the association between ABSI and central, peripheral and systemic arterial stiffness in the general population.</p><p><strong>Methods: </strong>The EVasCu study included 390 healthy subjects. ABSI was calculated from waist circumference, body mass index and height, and arterial stiffness was assessed with aortic pulse wave velocity (a-PWv) and cardio-ankle vascular index (CAVI). A meta-analysis of previous studies, including data from the EVasCu study, was performed to obtain pooled estimates of correlation coefficients (r) and their respective 95% confidence intervals (95% CIs) for the association between ABSI and central, peripheral and systemic arterial stiffness. In addition, pooled OR estimates and their 95% CIs were calculated.</p><p><strong>Results: </strong>In the EVasCu study, the correlation coefficient estimate was 0.458 (p < 0.01) for the association of a-PWv and ABSI and 0.408 (p < 0.01) for the association of CAVI and ABSI. In the meta-analysis, the pooled correlation coefficient estimate was 0.22 (95% CIs: 0.16, 0.28) for central arterial stiffness and ABSI, 0.21 (95% CIs: 0.14, 0.28) for peripheral arterial stiffness and ABSI, and 0.28 (95% CI: 0.21, 0.3) for systemic arterial stiffness and ABSI. When pooled ORs were calculated, the pooled OR estimate was 2.12 (95% CIs: 1.68, 2.56) for central arterial stiffness and ABSI, 2.21 (95% CIs: 1.81, 2.60) for peripheral arterial stiffness and ABSI, and 2.99 (95% CIs: 2.14, 3.85) for systemic arterial stiffness and ABSI.</p><p><strong>Conclusion: </strong>Based on both the results obtained in the EVasCu study and the meta-analysis, there is a positive association between ABSI and arterial stiffness, both in healthy subjects and in participants with comorbidities. For each unit of cm/kg/m²/m increase in ABSI, the risk of arterial stiffness increased by 112% for central arterial stiffness, 121% for peripheral arterial stiffness, and 199% for systemic arterial stiffness. However, further research is needed in this field of knowledge.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"554-563"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of metabolic dysfunction-associated steatotic liver disease and of its genetics on kidney function in childhood obesity.","authors":"Anna Di Sessa, Sarah Zarrilli, Gianmario Forcina, Vittoria Frattolillo, Ornella Camponesco, Claudia Migliaccio, Serena Ferrara, Giuseppina Rosaria Umano, Grazia Cirillo, Emanuele Miraglia Del Giudice, Pierluigi Marzuillo","doi":"10.1038/s41366-024-01674-5","DOIUrl":"10.1038/s41366-024-01674-5","url":null,"abstract":"<p><strong>Objectives: </strong>Evidence linked metabolic associated steatotic liver disease (MASLD) to kidney damage with the potential contribution of the I148M variant of the Patatin-like phospholipase containing domain 3 (PNPLA3) gene. We aimed at investigating the relationship of MASLD and of its genetics with kidney function in children with obesity.</p><p><strong>Methods: </strong>A comprehensive evaluation including genotyping for the I148M PNPLA3 polymorphism was performed in 1037 children with obesity. Fatty liver (FL) was assessed by liver ultrasound. According to MASLD criteria, subjects with obesity but without FL were included in group 1, while patients with obesity and FL (encompassing one MASLD criterion) were clustered into group 2. Group 3 included patients with obesity, FL, and metabolic dysregulation (encompassing >1 MASLD criterion).</p><p><strong>Results: </strong>Alanine transaminase levels significantly increased while estimated glomerular filtration rate (eGFR) significantly reduced from group 1 to 3. Group 3 showed a higher percentage of carriers of the I148M allele of the PNPLA3 gene compared to other groups (p < 0.0001). Carriers of group 2 and of group 3 showed reduced eGFR levels than noncarriers of group 2 (p = 0.04) and of group 3 (p = 0.02), respectively. A general linear model for eGFR variance in the study population showed an inverse association of eGFR with both MASLD and PNPLA3 genotypes (p = 0.011 and p = 0.02, respectively). An inverse association of eGFR with MASLD was also confirmed only in carriers (p = 0.006).</p><p><strong>Conclusions: </strong>The coexistence of more than 1 MASLD criterion in children with obesity seems to adversely affect kidney function. The PNPLA3 I148M allele further impacts on this association.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"605-611"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142620492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of pH-dependent ¹H NMR urine metabolite profiles for diagnosis of obesity-related disordering.","authors":"Dan-Ni Wu, Erickson Fajiculay, Chao-Ping Hsu, Chun-Mei Hu, Li-Wen Lee, Der-Lii M Tzou","doi":"10.1038/s41366-024-01695-0","DOIUrl":"10.1038/s41366-024-01695-0","url":null,"abstract":"<p><strong>Background: </strong>Human urine is highly favorable for ¹H NMR metabolomics analyses of obesity-related diseases, such as non-alcoholic fatty liver, type 2 diabetes, and hyperlipidemia (HL), due to its non-invasiveness and ease of large-scale collection. However, the wide range of intrinsic urine pH (5.5-8.5) results in inevitably chemical shift and signal intensity modulations in the ¹H NMR spectra. For patients where acidic urine pH is closely linked to obesity-related disease phenotypes, the pH-dependent modulations complicate the spectral analysis and deteriorate quantifications of urine metabolites.</p><p><strong>Methods: </strong>We characterized human urine metabolites by NMR at intrinsic urine pH, across urine pH 4.5 to 9.5, to account for pH-dependent modulations. A pH-dependent chemical shift database for quantifiable urine metabolites was generated and integrated into a \"pH intelligence\" program developed for quantifications of pH-dependent modulations at various pH. The ¹H NMR spectra of urines collected from patients with Ob-HL and healthy controls were compared to uncover potential metabolic biomarkers of Ob-HL disease.</p><p><strong>Results: </strong>Three urine metabolites were unveiled by pH-dependent NMR approach, i.e., TMAO, glycine, and pyruvic acid, with VIP score >1.0 and significant q-value < 0.05, that represent as potential biomarkers for discriminating Ob-HL from healthy controls. Further ROC-AUC analyses revealed that TMAO alone achieved the highest diagnostic accuracy (AUC 0.902), surpassed to that obtained by neutralizing pH approach (AUC 0.549) and enabled better recovering potential urine metabolites from the Ob-HL disease phenotypes.</p><p><strong>Conclusions: </strong>We concluded that ¹H NMR-derived urine metabolite profile represents a snapshot that can reveal the physiological condition of humans in either a healthy or diseased state under intrinsic urine pH. We demonstrated a systematic analysis of pH-dependent modulations on the human urine metabolite signals and further developed software for quantification of urine metabolite profiles with high accuracy, enabling the uncovering of potential metabolite biomarkers in clinical diagnosis applications.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"688-697"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142806741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Central obesity may account for most of the colorectal cancer risk linked to obesity: evidence from the UK Biobank prospective cohort.","authors":"Fatemeh Safizadeh, Marko Mandic, Ben Schöttker, Michael Hoffmeister, Hermann Brenner","doi":"10.1038/s41366-024-01680-7","DOIUrl":"10.1038/s41366-024-01680-7","url":null,"abstract":"<p><strong>Background: </strong>General obesity commonly represented by body mass index (BMI) is an established risk factor for colorectal cancer (CRC). However, it is unclear to what extent this association is accounted for by central obesity. We aimed to evaluate the associations between BMI, waist-to-hip ratio (WHR), and waist circumference (WC) with CRC risk and to investigate if and to what extent these associations are independent from each other.</p><p><strong>Methods: </strong>Data from more than 500,000 male and female participants aged 40-69, recruited in the UK Biobank study between 2006 and 2010, were analyzed. Multivariable Cox proportional hazards models were fitted and hazard ratios (HR) and their 95% confidence intervals (CI) were calculated.</p><p><strong>Results: </strong>During a median follow-up of 12.5 years, of 460,784 participants, 5,977 developed CRC. Multivariable adjusted HRs (95% CIs) per standard deviation increase of BMI, WHR, and WC were 1.10 (1.07-1.13), 1.18 (1.14-1.22), and 1.14 (1.11-1.18), respectively. After mutual adjustment, the association with CRC was substantially attenuated for BMI (1.04 (1.01-1.07)), and remained substantially stronger for WHR (1.15 (1.11-1.20)). Furthermore, WHR showed strong, statistically significant associations with CRC risk within all BMI categories, whereas associations of BMI with CRC risk were weak and not statistically significant within WHR categories. BMI was also not associated with CRC risk in women and with rectal cancer after mutual adjustment. Conversely, WHR was strongly associated with CRC risk in both sexes and with both colon and rectal cancer risk before and after adjustment for BMI. BMI and WC could not be mutually adjusted for due to their high correlation.</p><p><strong>Conclusion: </strong>Central obesity is a much stronger predictor of CRC and may account for most of the CRC risk linked to obesity. Our findings also emphasize the need for incorporating measures such as WHR alongside BMI in clinical practice to improve obesity prevention and management.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"619-626"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142675706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative effects of different beverages on weight loss in adults: a systematic review and network meta-analysis of randomized trials.","authors":"Hossein Shahinfar, Nastaran Payandeh, Sheida Zeraattalab-Motlagh, Kimia Torabynasab, Ahmad Jayedi, Haniehsadat Ejtahed, Shirin Hasani-Ranjbar, Sakineh Shab-Bidar","doi":"10.1038/s41366-024-01673-6","DOIUrl":"10.1038/s41366-024-01673-6","url":null,"abstract":"<p><strong>Background: </strong>There is a lack of clarity on the comparative effects of different beverages on weight loss in adults.</p><p><strong>Objective: </strong>This study aimed at quantifying and ranking the effects of different beverages on weight loss.</p><p><strong>Methods: </strong>We searched PubMed, Scopus, and Web of Science up to January 2023. We included randomized trials evaluating the comparative effects of two or more beverages, or compared a beverage against a control group (water, no intervention), for weight loss in adults. We conducted a random-effects network meta-analysis (NMA) with a Bayesian framework to estimate mean difference [MD] and 95% credible interval [CrI].</p><p><strong>Results: </strong>In total, 78 randomized trials with 4168 participants were eligible. Low/no-calorie sweetened beverages (LNCSB) was effective for weight loss compared with water (MD: -0.79 kg, 95% CrI: -1.35, -0.18), milk (MD: -0.80 kg, 95% CrI: -1.59, -0.01), fruit juice (MD: -0.83 kg, 95% CrI: -1.47, -0.13), sugar-sweetened beverages (SSB) (MD: -1.08 kg, 95% CrI: -1.65, -0.50), and no intervention (MD: -1.19 kg, 95% CrI: -1.93, -0.41). However, in sensitivity analyses, no significant effect was seen in trials with a low risk of bias and those that implemented calorie restriction. LNCSB drinking was effective for waist circumference reduction compared with water (MD: -1.85 cm, 95% CrI: -3.47, -0.22). The certainty of evidence from most comparisons was rated low.</p><p><strong>Conclusions: </strong>This study suggested evidence of low certainty that intake of LNCSBs can result in a small weight loss when used as a substitute for other beverages. Considering the low certainty of evidence, more research is needed to compare the effects of different beverages on body weight.</p><p><strong>Trial registration: </strong>Not applicable, but the protocol of this systematic review was registered at PROSPERO (registration number: CRD42023407937).</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"578-585"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142620518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effectiveness and usability of online, group-based interventions for people with severe obesity: a systematic review and meta-analysis.","authors":"Madison Milne-Ives, Lorna Burns, Dawn Swancutt, Raff Calitri, Ananya Ananthakrishnan, Helene Davis, Jonathan Pinkney, Mark Tarrant, Edward Meinert","doi":"10.1038/s41366-024-01669-2","DOIUrl":"10.1038/s41366-024-01669-2","url":null,"abstract":"<p><p>Long wait times, limited resources, and a lack of local options mean that many people with severe obesity cannot access treatment. Face-to-face group-based interventions have been found effective and can treat multiple people simultaneously, but are limited by service capacity. Digital group interventions could reduce wait times, but research on their effectiveness is limited. This systematic review aimed to examine the literature about online group-based interventions for adults with severe obesity (BMI ≥ 35 kg/m²). The review followed the PRISMA and PICOS frameworks. MEDLINE, Embase, CINAHL, Web of Science, and Cochrane Central Register of Controlled Trials were searched. Two authors independently screened articles. Data extraction, analysis, and quality assessment (using RoB2 and MMAT) was shared between two authors. A meta-analysis was conducted on eligible studies; other results were descriptively analysed. 20 papers reporting on 15 studies were included. Most studies reported some evidence of weight loss, but evidence of weight-related behaviour change was mixed. A meta-analysis on four studies indicated that online, group-based interventions had a statistically significant impact on weight loss (p = 0.001; 95% CI -0.69 to -0.17) with a small-to-moderate effect size, compared to waitlist or standard care conditions. Online interventions were considered more convenient but lack of familiarity with the group or counsellor, accessibility issues, and time constraints hindered engagement. Technical support, incentives, and interactive forums to improve group cohesion could mitigate these barriers. The findings suggested that online, group-based interventions are feasible and potentially beneficial, but barriers such as internet accessibility, digital literacy, and unfamiliarity with group members need to be mitigated. Key recommendations to improve experience and impact include providing instructions and run-throughs, building group cohesion, and providing session and additional content throughout the intervention. Future studies should focus on the influence of specific intervention characteristics and investigate the effect of these interventions compared to face-to-face interventions. Registration: National Institute for Health Research, PROSPERO CRD42021227101; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021227101 .</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"564-577"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142667217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Whose tweets about obesity and weight loss gain the most attention: celebrities, political, or medical authorities?","authors":"Mikołaj Kamiński, Agata Fogel, Adrianna Dylik, Matylda Kręgielska-Narożna, Paweł Bogdański","doi":"10.1038/s41366-024-01689-y","DOIUrl":"10.1038/s41366-024-01689-y","url":null,"abstract":"<p><strong>Background: </strong>X (formerly Twitter) is a unique social medium where many famous people and health institutions post and interact with casual users. We aimed to explore reactions to tweets about obesity and weight loss from accounts representing celebrities, politicians, sportsmen, and health authorities.</p><p><strong>Methods: </strong>We collected tweets from n = 2444 X profiles representing seven categories: celebrities, politicians, sportsmen, medical specialists, medical journals, medical universities, and health institutions. We retrieved tweets from the accounts and selected tweets about, e.g., obesity, overweight, body mass index, and weight loss. We conducted sentiment analysis, descriptive statistics, and multivariable quantile regression modeling. In quantile regression models, each tau represents a decile from 0.1 to 0.9 of the dependent variable (number of likes or retweets). Therefore, a tau value of 0.5 represents the 5th decile, the 50th percentile, and the median of the dependent variable.</p><p><strong>Results: </strong>The final dataset consisted of n = 8989 tweets. Achieving a large number of likes (taus 0.7, 0.8, and 0.9) was positively associated with posts written by celebrities, politicians, medical journals, and universities, while it was negatively associated with tweets authored by health institutions or medical specialists. In the case of a significant number of retweets, a positive association was observed for all account types, except for health institutions, for which the relationship was negative. These relationships were independent of verification status, the number of followers, tweet length, and sentiment.</p><p><strong>Conclusions: </strong>Tweets concerning obesity and weight loss originating from accounts representing health institutions garnered fewer likes and retweets compared to other types of accounts, including non-medical ones. A limitation of the study is the relatively small number of tweets emanating from non-medical accounts. A X informational campaign about obesity should engage non-medical accounts with many followers to reach as many users as possible.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":"673-681"},"PeriodicalIF":4.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142728799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}