International Journal of Obesity最新文献

{"title":"The association between the duration and degree of adiposity and appetitive trait trajectory profiles from childhood into early adolescence - results from the Generation XXI cohort.","authors":"Rita Pereira, Joana Araújo, Alexandra Costa, Milton Severo, Andreia Oliveira","doi":"10.1038/s41366-025-01765-x","DOIUrl":"10.1038/s41366-025-01765-x","url":null,"abstract":"<p><strong>Background: </strong>Body weight in childhood may predict appetitive traits. However, studies on the accumulated effect of adiposity and approaches using the clustering of different appetitive traits are lacking.</p><p><strong>Objective: </strong>To test associations between a cumulative measure of adiposity [from 4 to 13 years old (y)] and appetitive trait trajectory profiles (from 7 to 13 y), as well as to explore whether body mass index (BMI) at specific ages is associated with these profiles, independently of the cumulative BMI.</p><p><strong>Methods: </strong>Participants are from the Generation XXI birth cohort (Porto, Portugal) with weight and height measured at 4, 7, 10 and 13 y and complete data in variables of interest (final sample of n = 3339). Age- and sex-specific adjusted BMI standard deviation scores were calculated. The duration and degree of BMI were summarized through the BMI area under the curve (BMI_AUC), as an indicator of accumulated adiposity. Appetitive traits were assessed at 7, 10 and 13 y, using the validated Children's Eating Behaviour Questionnaire. Six previously identified profiles of appetite (groups of individuals with similar patterns of trajectories) were considered: 'moderate appetite' (reference profile), 'small appetite but increasing', 'small to moderate appetite', 'avid appetite', 'increasing appetite' and 'smallest appetite'. Multinomial logistic regressions tested associations between BMI_AUC and profiles.</p><p><strong>Results: </strong>The median monthly exposure to BMI_AUC was 17.4 kg/m². Except for 'increasing appetite', BMI_AUC was associated with all profiles: positively with the 'avid appetite' (OR = 1.47, 95% CI: 1.40-1.55) and negatively with the remaining ones, particularly with 'smallest appetite' (OR = 0.78, 95% CI: 0.73-0.83). Having overweight/obesity at 7 y increased 113% the odds of having an 'avid appetite' profile (OR = 2.13 95% CI: 1.42-3.21).</p><p><strong>Conclusion: </strong>Children with the highest cumulative adiposity between 4 and 13 y were more likely to present an 'avid appetite' during childhood. Additionally, having excessive weight at age 7 may indicate a higher appetite in subsequent years.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803188","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":"Pathways linking BMI trajectories and mental health in an adult population-based cohort: role of emotional eating and body dissatisfaction.","authors":"Stephanie Schrempft, Cecilia Jiménez-Sánchez, Hélène Baysson, María-Eugenia Zaballa, Julien Lamour, Silvia Stringhini, Idris Guessous, Mayssam Nehme","doi":"10.1038/s41366-025-01772-y","DOIUrl":"https://doi.org/10.1038/s41366-025-01772-y","url":null,"abstract":"<p><strong>Background: </strong>Overweight and obesity are associated with poor mental health, and the association is bidirectional. Few studies have examined the association between weight change and mental health over time. We aimed to provide further insight into the association between weight gain and mental health, with a focus on emotional eating and body dissatisfaction as mediating factors.</p><p><strong>Methods: </strong>Height and weight were self-reported upon registration, and in Spring 2022, 2023, and 2024 in the Specchio cohort (Geneva, Switzerland). BMI trajectories were estimated by (1) mixed-effects models to calculate participants' personal slopes (increase in BMI score per year), and (2) testing the odds of an upward BMI category transition from baseline to last follow-up. The associations of behavioural and psychosocial factors with BMI trajectories (slopes and transitions), and BMI trajectories with mental health outcomes were estimated using regressions adjusted for age, sex, education, and physical health condition. Structural equation modelling was used to test mediating pathways.</p><p><strong>Results: </strong>Among 7388 participants (59% women, mean age 51 years), factors associated with increasing BMI over 4 years included financial hardship, short sleep duration, less physical activity, more leisure screen time, depressive and anxiety symptoms, and emotional eating (β range [95% CI] = 0.03 [0, 0.05]-0.12 [0.09, 0.15]). Increasing BMI was associated with body dissatisfaction (β = 0.36 [0.33, 0.38]) and poorer quality of life (β = -0.06 [-0.09, -0.03]) at 4-year follow-up after adjustment for anxiety and depressive symptoms at baseline. Emotional eating partly mediated the association between anxiety and depressive symptoms at baseline and increasing BMI, and between financial hardship and increasing BMI. Body dissatisfaction and poorer self-rated health partly mediated the association between increasing BMI and quality of life at follow-up.</p><p><strong>Conclusions: </strong>Emotional eating and body dissatisfaction contribute to the association between BMI trajectories and mental health and should be considered in weight management and mental health promotion strategies.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803185","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 accelerometer-measured irregular sleep duration and longitudinal changes in body mass index in older adults.","authors":"Sina Kianersi, Kaitlin S Potts, Heming Wang, Tamar Sofer, Raymond Noordam, Martin K Rutter, Susan Redline, Tianyi Huang","doi":"10.1038/s41366-025-01768-8","DOIUrl":"https://doi.org/10.1038/s41366-025-01768-8","url":null,"abstract":"<p><strong>Background: </strong>Irregular sleep duration may disrupt circadian rhythms and contribute to metabolic, behavioral, and mood changes, potentially increasing the risk for obesity. However, quantitative data on the relationship between sleep duration irregularity and weight change are lacking.</p><p><strong>Methods: </strong>In this prospective study, we analyzed data from 10,572 participants (mean age: 63 years) in the UK Biobank who wore accelerometers for a week between 2013 and 2015 and had two body mass index (BMI; kg/m²) measurements on average 2.5 years apart. Irregular sleep duration was assessed by the within-person standard deviation (SD) of 7-night accelerometer-measured sleep duration.</p><p><strong>Results: </strong>Participants with sleep duration SD > 60 min versus ≤30 min had 0.24 kg/m² (95% CI: 0.08, 0.40) higher BMI change (kg/m²), standardized to three-year intervals, and 80% (95% CI: 1.28, 2.52) higher risk for incident obesity, after adjusting for sociodemographic factors, shift work, and baseline BMI or follow-up period (p-nonlinearity <0.02 for both). These associations remained consistent after adjusting for lifestyle, comorbidities, and other sleep factors, including sleep duration. Age, sex, baseline BMI, and genetic predisposition to higher BMI (measured with a polygenic risk score) did not appear to modify the association.</p><p><strong>Conclusions: </strong>Since irregular sleep duration is common, trials of interventions targeting sleep irregularity might lead to new public health strategies that tackle obesity.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143795398","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":"IGFBP-1 and IGF-I in relation to adiposity and mortality from midlife to old age in the Swedish Adoption/Twin Study of Aging.","authors":"Moira S Lewitt, Ida K Karlsson, Nancy L Pedersen","doi":"10.1038/s41366-025-01773-x","DOIUrl":"https://doi.org/10.1038/s41366-025-01773-x","url":null,"abstract":"<p><strong>Background/objectives: </strong>Insulin-like growth factor-binding protein (IGFBP)-1 is a marker of insulin resistance. Lower IGFBP-1 is associated with increased adiposity. The aims of this study were to determine whether IGFBP-1 and its ligand, IGF-I, are associated with weight and waist measurements across mid-life to old age, and predict survival.</p><p><strong>Subjects/methods: </strong>The Swedish Adoption/Twin Study of Aging (SATSA) includes extensive in-person testing of same-sex twins over a 30-year period. The dataset of twins for which baseline fasting IGFBP-1 (n = 512; 251 twin pairs) and IGF-I (n = 537; 262 twin pairs) measurements were available (from 1986) was stratified by birth cohort. Latent growth curve modeling was used to determine whether BMI and waist-to-height ratio (WHtR) and their change, differed as a function of IGFBP-1 or IGF-I. Survival data was collected by linkage to the Swedish Tax Agency.</p><p><strong>Results: </strong>IGFBP-1 correlated inversely with insulin concentrations. There was a curvilinear relationship between BMI and age, increasing until 70-75 years and then declining, fitting a quadratic model. Lower IGFBP-1 was associated with higher BMI at the intercept, 73 years (1.8 kg/m² per unit decrease in ln-IGFBP-1; p < 0.001). WHtR continued to increase beyond 70-75 years. Lower IGFBP-1 was associated with higher WHtR (3 cm/m per unit decrease in ln-IGFBP-1 at 73 years; p < 0.001). Associations weakened, but remained, after adjustment for ln-insulin. IGFBP-1 was not associated with the slope or shape of the trajectories. Between-within models, examining the associations within twin pairs, indicated these associations are explained in part by familial factors. There was no relationship between IGF-I and BMI or WHtR, or their trajectories. Neither IGFBP-1 nor IGF-I concentration predicted survival.</p><p><strong>Conclusion: </strong>Lower circulating IGFBP-1 concentrations are associated with increased adiposity but not change in adiposity, across the lifespan from middle to old age.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788385","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":"Feasibility and satisfaction with remote digital postoperative follow-up using a three-tiered alert system after bariatric surgery.","authors":"Eleonora Farinella, Dimitrios Papakonstantinou, Nikolaos Koliakos, Marie-Thérèse Maréchal, Mathilde Poras, Luca Pau, Arnaud Requière, Alain Plumacker, Giovanni Briganti","doi":"10.1038/s41366-025-01762-0","DOIUrl":"https://doi.org/10.1038/s41366-025-01762-0","url":null,"abstract":"<p><strong>Introduction: </strong>With the global prevalence of obesity steadily increasing, bariatric surgery has gained significance in managing this health challenge. Fast-track healthcare pathways have shown promise in improving outcomes and patient satisfaction for bariatric surgery. In this study, we aimed to evaluate the safety and feasibility of responsive remote digital postoperative follow-up using a smartphone application.</p><p><strong>Materials and methods: </strong>Consecutive patients undergoing bariatric surgery at CHU Saint-Pierre University Hospital between September 2022 and October 2023 were prospectively enrolled. Patients were instructed to download and install the application on their smartphones, which prompted them with predetermined daily questions. Depending on their responses, alerts could be generated for review by medical staff A three-tiered alert system (orange, red, red+) was implemented to signify increasing significance. Comparisons between categorical variables were conducted using Fisher's exact test, while comparisons between continuous variables were assessed using the one-way Analysis of Variance (ANOVA) test for normally distributed data and the Mann-Whitney U test for non-normally distributed data.</p><p><strong>Results: </strong>During the study period, a total of 1119 alerts were recorded from 104 patients, with 39.3% occurring within the first seven postoperative days. Patient alert profiles were significantly associated with postoperative outcomes, with worsening outcomes observed from basic orange alerts to red+ alerts. Patients with red+ alerts had nearly a threefold increase in postoperative morbidity rates, emergency department visits, and readmissions. No significant differences in weight loss outcomes were observed. Patient response adherence was 67.5%, while the overall satisfaction with the use of the application was 94%.</p><p><strong>Conclusion: </strong>Remote follow-up via a mobile application holds promise for enhancing the management of bariatric surgery patients, complementing traditional practices. The implementation of a three-tiered alert system may help identify patients at risk of serious complications, potentially reducing unnecessary emergency department and hospital resource utilization.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788369","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":"Personality, eating behaviour, and body weight: results from the population study of women in Gothenburg 2016/17.","authors":"Lena Farhan, Dominique Hange, Tore Hällström, Cecilia Björkelund, Lauren Lissner, Lisbeth Stahre, Kirsten Mehlig","doi":"10.1038/s41366-025-01764-y","DOIUrl":"https://doi.org/10.1038/s41366-025-01764-y","url":null,"abstract":"<p><strong>Aims: </strong>The aim was to investigate the cross-sectional associations between personality traits, psychogenic needs and eating behaviour, and to describe the extent to which personality influences the association between eating behaviour and weight status.</p><p><strong>Methods: </strong>In 2016/17, a population-based sample of 573 women in Gothenburg, Sweden aged either 38 or 50 participated in a health examination. They completed the Three-Factor Eating Questionnaire, measuring uncontrolled eating, emotional eating and cognitive restraint on a scale of zero to 100. Scores higher than 50 defined excessive eating behaviour. The Cesarec-Marke Personality Schedule was used to measure psychogenic needs, characterised by pursuits and objectives that define personality and influence actions. Extraversion and neuroticism were assessed using the Eysenck-Personality Inventory. Regression models for excessive eating behaviour and for logarithmic body mass index (BMI) as a function of standardised personality scores were adjusted for sociodemographic, lifestyle and health factors.</p><p><strong>Results: </strong>A higher need to defend one's status (DST) was positively associated with excessive uncontrolled eating, odds ratio (OR) = 1.44, 95% confidence interval = (1.11, 1.86) per standard deviation (SD) of DST. The need to defend one's status was more strongly associated with excessive emotional eating, OR = 1.61 (1.18, 2.20) than neuroticism, OR = 1.45 (1.06, 1.97), in a mutually adjusted model. Needs for achievement and autonomy were associated with excessive cognitive restraint, OR = 1.39 (1.09, 1.76) and 0.78 (0.62, 0.97), respectively. Excessive emotional eating was associated with 5.3 (1.1, 9.6) % higher values of BMI when adjusted for the need of DST, which was associated with -2.7 (-4.1, -1.3) % lower BMI per SD.</p><p><strong>Conclusions: </strong>Psychogenic needs were more closely associated with eating behaviour than personality traits. A lower need to defend one's status and excessive emotional eating were independently associated with higher BMI, suggesting different pathways to obesity and treatment strategies.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143788352","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":"Is obesity associated with depression in low- and middle-income countries? Longitudinal evidence from Indonesia.","authors":"David Colozza, Isabella Guo, Astrid Citra Padmita, Yunita Arihandayani, Evi Firna, Mauricio Avendano","doi":"10.1038/s41366-025-01757-x","DOIUrl":"10.1038/s41366-025-01757-x","url":null,"abstract":"<p><strong>Background: </strong>In high-income countries, higher body weight is associated with increased risk of depressive symptoms. However, it is unclear whether this relationship applies to low-and-middle-income countries at earlier stages of the epidemiological transition. This study uses longitudinal data to examine the relationship between body weight and depressive symptoms in Indonesia.</p><p><strong>Methods: </strong>The study employs a longitudinal sample of adolescents aged 14-19 (N = 3360) and adults aged ≥20 (N = 25,669) derived from the 2007 and 2015 Indonesia Family Life Survey. Depressive symptoms were assessed using the Centre for Epidemiologic Studies Depression ten-item scale (CES-D-10). Anthropometric measurements taken by trained nurses were used to calculate overweight/obesity (BMI ≥ 23), our outcome of interest. We use linear random and individual fixed effect models, stratified by gender and age group.</p><p><strong>Results: </strong>In random effects models, there was no association between overweight and depressive symptoms among adolescents, while overweight was associated with lower depressive symptoms among adults. These results were confirmed in fixed effect models: there was no association for adolescents (-0.32, 95% Confidence Interval [CI] -0.84, 0.21), while among adults, becoming overweight was associated with a significant reduction in depressive symptoms (-0.25, 95% CI -0.43, -0.08). There was no evidence of significant differences by sex.</p><p><strong>Conclusions: </strong>Contrary to high-income countries, we found no evidence of an association between depressive symptoms and overweight among adolescents in Indonesia, while depressive symptoms are associated with reduced risk of overweight among adults. Findings may be due to lower overweight stigma in Indonesia's socio-cultural environment, potential depressive symptom underestimation, and a moderating role of socioeconomic status. Given the rising overweight burden in Indonesia, our results highlight the need to prioritise policies addressing structural causes rather than individual factors, in order to avoid promoting overweight stigma and safeguard mental health.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772182","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":"BMI in children: the promising future for an index reflecting body fat development.","authors":"Marie-Françoise Rolland-Cachera, Sandrine Péneau, France Bellisle","doi":"10.1038/s41366-025-01758-w","DOIUrl":"https://doi.org/10.1038/s41366-025-01758-w","url":null,"abstract":"","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752598","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":"Automated lifestyle interventions and weight loss: a systematic review of randomized controlled trials.","authors":"Nicholas W Carris, Krystal Bullers, Mariam McKee, Jena Schanze, Taylor Eubanks, Christa Epperson, Marilyn Stern, Brian E Bunnell","doi":"10.1038/s41366-025-01746-0","DOIUrl":"10.1038/s41366-025-01746-0","url":null,"abstract":"<p><strong>Background/objectives: </strong>Overweight and obesity drive cardiometabolic disease and high-intensity lifestyle interventions are standard. However, many health-systems cannot offer these interventions and many patients cannot participate even when available. Trials have assessed automated digital lifestyle interventions to improve accessibility. This systematic review identified automated digital lifestyle interventions and assessed their impact on weight loss.</p><p><strong>Subjects/methods: </strong>The review (CRD42023435700) identified randomized controlled trials of at least 3-months duration assessing automated digital lifestyle interventions' impact on weight loss. Data were managed through Covidence with double-blinded screening of titles/abstracts and double-blinded full-text review to determine study inclusion. Data extraction was completed by one reviewer (NWC) and verified by a second (MM, JS, TE, CE). The Cochrane Collaboration's tool was used to assess bias risk and study quality was rated as High, Moderate, Low, or Very Low.</p><p><strong>Results: </strong>The search identified 1817 citations. The full-text of 60 reports were assessed and 17 reports of 16 studies were included. The majority (63%) were of moderate quality. No intervention produced 5% weight loss from baseline. Intervention components with the largest impact were text message encouragement and education with a cognitive behavioral approach. No specific form of self-monitoring was most effective, though some form of self-monitoring was included in most trials.</p><p><strong>Conclusions: </strong>Some components of the automated digital lifestyle interventions showed promise. Research is needed to optimize these components (e.g., tailored messaging, cognitive-behavioral approaches) balanced with human contact. Considering the magnitude of the problem and its disproportionate impact on low socioeconomic and minority patients, interventions optimized for effect and scalability are needed to address overweight and obesity.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143742852","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}