International Journal of Obesity最新文献

{"title":"Assessing the evidence for health benefits of low-level weight loss: a systematic review.","authors":"Disha Dhar, Jessica Packer, Semina Michalopoulou, Joana Cruz, Claire Stansfield, Russell M Viner, Oliver T Mytton, Simon J Russell","doi":"10.1038/s41366-024-01664-7","DOIUrl":"https://doi.org/10.1038/s41366-024-01664-7","url":null,"abstract":"<p><p>Individuals with excess weight are at a higher risk for various physical and mental health conditions. Interventions targeting weight loss can improve health, with modest weight loss of five to ten percent of body weight often considered clinically meaningful for enhancing health outcomes. However, the benefits of achieving low-level weight loss ( < 5% body weight) are poorly understood. We aimed to systematically review relevant literature and synthesise the evidence that assessed the potential health benefits of losing less than five percent body weight. We searched seven academic databases and included studies in any language, from any country, with no time constraints. We included any intervention studies that assessed the impact of less than five percent weight loss on any measured physical or mental health markers or indices. 70 studies from 68 articles were included, with study participants ranging from 14 to 10,742. In total, 137 health markers were assessed, categorised into metabolic markers (n = 42), cardiovascular markers (n = 32), anthropometric measures (n = 19), quality of life indices (n = 10), inflammatory biomarkers (n = 10), renal and hepatic markers (n = 9), psychosocial and behavioural measures (n = 8), pulmonary function (n = 3), total mortality (n = 2), ovulatory function (n = 1), and muscle strength (n = 1). Overall, 60% of studies reported improvements, 37% found no change or mixed results, and 3% observed a worsening of health markers or indices. Based on the available data, 87% of participants (n = 15,839) in the studies reported improvements in health markers or indices as a result of low-level weight loss. Our findings suggest that low-level weight loss can lead to various health benefits and challenges the conventional threshold for effective weight loss.Preregistration The review protocol was pre-registered with PROSPERO (CRD42023406342).</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564187","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 association of overweight, obesity, and long-term obesity with SARS-CoV-2 infection: a meta-analysis of 9 population-based cohorts from the Netherlands Cohorts Consortium.","authors":"Bette Loef, Jolanda M A Boer, Marian Beekman, Sophie L Campman, Emiel O Hoogendijk, Floris Huider, Demi M E Pagen, Marije J Splinter, Jeroen H P M van der Velde, Dorret I Boomsma, Pieter C Dagnelie, Jenny van Dongen, Eco J C de Geus, Martijn Huisman, M Arfan Ikram, Annemarie Koster, Silvan Licher, Jochen O Mierau, Renée de Mutsert, H Susan J Picavet, Frits R Rosendaal, Miranda T Schram, P Eline Slagboom, Evie van der Spoel, Karien Stronks, W M Monique Verschuren, Saskia W van den Berg","doi":"10.1038/s41366-024-01660-x","DOIUrl":"https://doi.org/10.1038/s41366-024-01660-x","url":null,"abstract":"<p><strong>Background: </strong>Obesity may affect an individual's immune response and subsequent risk of infection, such as a SARS-CoV-2 infection. It is less clear whether overweight and long-term obesity also constitute risk factors. We investigated the association between the degree and duration of overweight and obesity and SARS-CoV-2 infection.</p><p><strong>Methods: </strong>We analyzed data from nine prospective population-based cohorts of the Netherlands Cohorts Consortium, with a total of 99,570 participants, following a standardized procedure. Body mass index (BMI) and waist circumference (WC) were assessed two times before the pandemic, with approximately 5 years between measurements. SARS-CoV-2 infection was defined by self-report as a positive PCR or rapid-antigen test or as COVID-19 ascertained by a physician between March 2020 and January 2023. For three cohorts, information on SARS-CoV-2 infection by serology was available. Results were pooled using random-effects meta-analyses and adjusted for age, sex, educational level, and number of SARS-CoV-2 infection measurements.</p><p><strong>Results: </strong>Individuals with overweight (25 ≤ BMI < 30 kg/m²) (odds ratio (OR) = 1.08, 95%-confidence interval (CI) 1.04-1.13) or obesity (BMI ≥ 30 kg/m²) (OR = 1.43, 95%-CI 1.18-1.75) were more likely to report SARS-CoV-2 infection than individuals with a healthy body weight. We observed comparable ORs for abdominal overweight (men: 94 cm≤WC < 102 cm, women: 80 cm≤WC < 88 cm) (OR = 1.09, 95%-CI 1.04-1.14, I² = 0%) and abdominal obesity (men: WC ≥ 102 cm, women: WC ≥ 88 cm) (OR = 1.24, 95%-CI 0.999-1.55, I² = 57%). Individuals with obesity long before the pandemic, but with a healthy body weight or overweight just before the pandemic, were not at increased risk.</p><p><strong>Conclusion: </strong>Overweight and obesity were associated with increased risk of SARS-CoV-2 infection with stronger associations for obesity. Individuals with a healthier weight prior to the pandemic but previous obesity did not have an increased risk of SARS-CoV-2, suggesting that weight loss in those with obesity reduces infection risk. These results underline the importance of obesity prevention and weight management for public health.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557822","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":"Shaping childhood obesity: behavioral and environmental risk factors associated with body mass index trajectories between 2 and 9 years in Samoan children.","authors":"Courtney C Choy, William Johnson, Take Naseri, Vaimoana Filipo, Maria Siulepa Arorae, Faatali Tafunaina, Folla Unasa, Kima Savusa, Muagututia S Reupena, Joseph M Braun, Rachel L Duckham, Christina Soti-Ulberg, Stephen T McGarvey, Nicola L Hawley","doi":"10.1038/s41366-024-01665-6","DOIUrl":"https://doi.org/10.1038/s41366-024-01665-6","url":null,"abstract":"<p><strong>Background/objective: </strong>Pacific children are at high obesity risk, yet the behavioral and environmental factors that contribute to obesity development in this setting remain poorly understood. We assessed associations between childhood risk factors for obesity with body mass index (BMI) trajectories between ages 2-9 years in Samoa.</p><p><strong>Subjects/methods: </strong>In a prospective cohort of 485 children from 'Upolu, we measured weight and height at ages 2-4 (2015), 3.5-8 (2017-18), and 5.5-11 years (2019-20). Modern dietary pattern adherence was assessed using factor analysis of primary caregiver-reported food frequency questionnaire data. Physical activity was estimated with the Netherlands Physical Activity Questionnaire. Socioeconomic resources were assessed using an 18-item household asset score. Urbanicity was based on village residence. Associations of these risk factors with predicted weight, height, and BMI (at 1-year intervals and velocity) were assessed using multilevel cubic spline regressions.</p><p><strong>Results: </strong>Females had greater adjusted weight velocity with high modern dietary pattern adherence compared to low (p-value for interaction with age spline term 1 = 0.028 and age spline term 2 = 0.007). Starting at age 3 years, children with higher physical activity had higher BMI, but this association was not meaningful up to age 9 (all p-value > 0.05). Males with very high compared to low household assets had higher BMI from age 2 to 4 years (95% CI: 0.26-1.53 kg/m², p = 0.006) and greater BMI velocity (p-value for interaction with age spline term 2 = 0.001). Males in the urban region had the greatest BMI gain after age 5 compared to the rural region (p-value for interaction with age spline term 2 = 0.014).</p><p><strong>Conclusions: </strong>High, centile-crossing BMI trajectories suggest that obesity prevention and intervention are needed among Samoan children before age 9 years. Positive associations between high modern dietary pattern adherence, greater asset ownership, and urbanization offer initial insights into who, and which behavioral risk factors, should be prioritized in implementing public health solutions.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545387","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":"U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset.","authors":"Dawda Jawara, Craig M Krebsbach, Manasa Venkatesh, Jacqueline A Murtha, Bret M Hanlon, Kate V Lauer, Lily N Stalter, Luke M Funk","doi":"10.1038/s41366-024-01661-w","DOIUrl":"https://doi.org/10.1038/s41366-024-01661-w","url":null,"abstract":"<p><strong>Background: </strong>Obesity is a major public health challenge in the U.S. Existing datasets utilized for calculating obesity prevalence, such as the National Health and Nutrition Examination Survey (NHANES) and Behavioral Risk Factor Surveillance System (BRFSS), have limitations. Our objective was to analyze weight trends in the U.S. using a nationally representative dataset that incorporates longitudinal electronic health record data.</p><p><strong>Methods: </strong>Using the National Institutes of Health All of Us Research Program (AoU) dataset, we identified patients aged 18-70 years old who had at least two height and weight measurements within a 5-year period from 2008 to 2021. Baseline and most recent BMI values were used to calculate total body weight (%TBW) changes. %TBW change predictors were determined using multivariable linear regression.</p><p><strong>Results: </strong>We included 30,862 patients (mean age 48.9 [ ± 12.6] years; 60.5% female). At the 5-year follow-up, the prevalences of obesity and severe obesity were 37.4% and 20.7%, respectively. The frequency of patients with normal weight or overweight BMI who gained ≥5% TBW at follow-up was 37.8% and 33.1%, respectively. Nearly 24% of the cohort lost ≥ 5% TBW, and 6.5% with severe obesity lost weight to achieve a BMI < 30 kg/m². In adjusted analyses, male sex (-1.10%, 95% CI [-1.36, -0.85]), non-Hispanic Asian race/ethnicity (-1.69% [-2.44, -0.94]), and type 2 diabetes (-1.58% [-1.95, -1.22]) were associated with weight loss, while obstructive sleep apnea (1.80% [1.40, 2.19]) was associated with weight gain.</p><p><strong>Conclusions: </strong>This evaluation of an NIH-partnered dataset suggests that patients are continuing to gain weight in the U.S. AoU represents a unique tool for obesity prediction, prevention, and treatment given its longitudinal nature and unique behavioral and genetic data.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142545388","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":"https://doi.org/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":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-28","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":"Dietary patterns among European children and their association with adiposity-related outcomes: a multi-country study.","authors":"Sarah Warkentin, Nikos Stratakis, Lorenzo Fabbri, John Wright, Tiffany C Yang, Maria Bryant, Barbara Heude, Remy Slama, Parisa Montazeri, Marina Vafeiadi, Regina Grazuleviciene, Anne Lise Brantsæter, Martine Vrijheid","doi":"10.1038/s41366-024-01657-6","DOIUrl":"https://doi.org/10.1038/s41366-024-01657-6","url":null,"abstract":"<p><strong>Background/objective: </strong>Children's diets in school-age are inherently unhealthy, with few meeting dietary recommendations. Yet, little is known about similarities and differences on dietary patterns across countries and their association with obesity. We aimed to derive dietary patterns in childhood and explore their association with adiposity-related outcomes in childhood and adolescence.</p><p><strong>Subjcts/methods: </strong>This study included data from six European countries (Spain, France, UK, Greece, Lithuania and Norway) during childhood (n = 1597) and adolescence (n = 803). Using a food frequency questionnaire, we derived data-driven dietary patterns through exploratory factor analyses and calculated the Mediterranean KIDMED index. We assessed body mass index z-score (zBMI), fat mass proportion and waist-to-height ratio at both visits. Associations were estimated using generalized linear regressions, adjusted for key-confounders.</p><p><strong>Results: </strong>\"Meat\", \"Dairy\", \"Western\", \"Healthy\" and \"Sweets and fats\" dietary patterns were derived. Norwegian children showed better diet quality, with higher consumption of fruits and vegetables, and highest \"Healthy pattern\" adherence, and Lithuanian children, the worst, with higher sweets consumption, and highest \"Western pattern\" adherence. Children with lower intake of healthy foods (vegetables, fruits, fish) tended to have higher adiposity, e.g., children with average or low \"Healthy pattern\" adherence (vs. high) had higher fat mass proportion in childhood (average: β (95% CI) 1.44 (0.48; 2.39), low: 1.10 (0.09; 2.12)). Low adherence to a \"Healthy pattern\" (vs. high) was associated with increased adolescent zBMI, and child and adolescent waist-to-height ratio. Low \"Dairy pattern\" adherence (vs. high), was associated with lower zBMI and fat mass in childhood, but not in adolescence. No significant associations were seen with the KIDMED index.</p><p><strong>Conclusions: </strong>Many European children have poor diets and a low adherence to a healthy diet pattern may be of concern for adiposity-related outcomes. Assessment of children's dietary patterns can help tailor dietary advice and provide support for families aiming to prevent future excess weight gain.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500443","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":"Incidence and risk factors of post-metabolic and bariatric surgery hypoglycemia: a systematic review.","authors":"Huaijun Zheng, Lize Sun, Linjie Wang, Yuxing Zhao, Fengying Gong, Huijuan Zhu","doi":"10.1038/s41366-024-01651-y","DOIUrl":"https://doi.org/10.1038/s41366-024-01651-y","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to systematically review the existing literature to summarize the incidence and risk factors of post-metabolic and bariatric surgery hypoglycemia (MBSH).</p><p><strong>Methods: </strong>We searched PubMed, Medline, Embase, and the Cochrane Library databases for the studies published from inception to August 2023. Randomized controlled trials and analytical studies that investigated the incidence or risk factors of MBSH after different surgery techniques (including Roux-en-Y gastric bypass, sleeve gastrectomy, gastric banding, duodenal switch, omega-loop gastric bypass, and vertical banded gastroplasty) were involved. The incidence and risk factors of MBSH were extracted and described separately based on different diagnostic criteria and then summarized the risk factors and their statistical findings collectively.</p><p><strong>Results: </strong>Twenty-nine studies were reviewed with follow-up ranging from 1 to 22 years. The incidence of MBSH ranged significantly across different diagnostic methods: 2.6-66.4% (self-report), 6.6-61.8% (oral glucose tolerance test), 29.4-78.6% (mixed-meal tolerance test), and 50-75% (continuous glucose monitoring). Patients with a mean age of 49.8 years and 89.0% of them were women with a better glycemic control who undergo RYGB and achieve 86.5% of estimated weight loss from surgery should be particularly vigilant about the possibility of developing MBSH. Distinct biomarkers such as IGF-1 (OR 1.06), fasting glicentin (AUC 0.81), HbA1c (AUC 0.76), and absolute weight reduction (AUC 0.72), greater fluctuations in glucose (OR 1.98) are valuable in promptly detecting MBSH. Specifically, patients with prior cholecystectomy or antidepressant therapy should be particularly cautious.</p><p><strong>Conclusion: </strong>The review highlights higher MBSH risk in younger women with significant weight loss after RYGB, and those with prior cholecystectomy or antidepressant use. Systematic summarization of MBSH criteria allowed us to identify the predictors for MBSH, which can aid in early diagnosis and treatment, reducing the need for prolonged monitoring.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500445","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":"Drugs used in psychiatry causing an increase in body weight in children-a review.","authors":"Karolina Kuźbicka, Iga Pawłowska, Ivan Kocić","doi":"10.1038/s41366-024-01662-9","DOIUrl":"https://doi.org/10.1038/s41366-024-01662-9","url":null,"abstract":"<p><p>Body weight gain is a prevalent adverse effect observed in psychiatric medication therapy. With the notable increase in mental health diagnoses among children and adolescents over the last decade, exacerbated by the COVID-19 pandemic, the use of medications associated with weight gain poses an additional risk for obesity development. This study aimed to identify psychiatric drugs that may induce weight gain in children as a side effect. Twenty-nine publications were included in this systematic review, investigating the effects of nineteen different drugs on children's weight. The majority of these drugs belonged to atypical antipsychotics and anticonvulsants. Nearly all included articles reported that the examined substances resulted in weight gain in children. As childhood obesity has become a significant problem with various metabolic, psychological and social consequences, it is crucial to carefully consider therapy options. In addition to evaluating effectiveness, it is important to also assess the potential for weight gain. Clinicians and nutrition specialists should individually evaluate patients' nutritional needs, evaluate obesity risk, and provide appropriate dietary guidance to minimalize the risk of weight gain.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500444","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":"What internet- and mobile-based interventions are currently available for adults with overweight or obesity experiencing symptoms of depression? A systematic review.","authors":"Katja Schladitz, Alina Seibel, Melanie Luppa, Steffi G Riedel-Heller, Margrit Löbner","doi":"10.1038/s41366-024-01654-9","DOIUrl":"https://doi.org/10.1038/s41366-024-01654-9","url":null,"abstract":"<p><p>Given the high prevalence of overweight and obesity and high comorbidity of depressive symptoms, there is a need for low-threshold, accessible care approaches for people with overweight/obesity aimed at improving mental health. Internet and mobile-based interventions (IMI) represent an innovative complementary treatment option. This review systematically searches for IMI aimed at improving mental health in people with overweight/obesity. We conducted a systematic literature search according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria in the databases MEDLINE, Cochrane Library, PsycINFO, Web of Science and Google Scholar. Randomized controlled trials (RCTs) of IMI for adults with overweight/obesity and comorbid depressive symptoms aiming at improving mental health were screened and extracted. Study quality was assessed with RoB 2 (revised Cochrane Risk of Bias tool in RCTs). After excluding duplicates, n = 790 results were included in title and abstract screening. After full-text-screening of n = 26 studies, n = 3 RCT studies were included. All interventions aimed to reduce both weight and depressive symptoms. In two RCTs, a significant reduction in both depressive symptoms and weight was achieved. One RCT indicated a significant reduction in depressive symptoms, but not in weight. Two intervention had a duration of 6 months and were guided by health carers, the third takes 3 months and can be used without professional guidance. There is evidence that IMI are effective in improving mental health for people with overweight/obesity and comorbid depressive symptoms. However, currently there are few interventions aiming at reducing depressive symptoms, all targeting English-speaking people. As IMI for depressive symptoms can be easily integrated in the somatic therapy of obesity as additional option and has high public health potential, target group-adapted and low-threshold accessible interventions in different languages should be developed and implemented for improving mental health in people with overweight/obesity. Prospero registration number: CRD42023361771.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142465408","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":"Associations of body composition measures with circulating insulin-like growth factor-I, testosterone, and sex hormone-binding globulin concentrations in 16,000 men.","authors":"Matthew C Hynes, Cody Z Watling, Yashvee Dunneram, Timothy J Key, Aurora Perez-Cornago","doi":"10.1038/s41366-024-01633-0","DOIUrl":"https://doi.org/10.1038/s41366-024-01633-0","url":null,"abstract":"<p><strong>Background: </strong>Adiposity is positively associated with risk of some cancer sites and other health conditions in men; however, it is unclear if endogenous hormones play a role in these associations. We examined how body composition, measured from magnetic resonance imaging (MRI) and common measures of adiposity (e.g., body mass index (BMI)), are related to hormone concentrations in men from the UK Biobank study.</p><p><strong>Methods: </strong>Up to 16,237 men with available body composition data (including visceral, subcutaneous, and liver fat, muscle fat infiltration (MFI), lean tissue, and common adiposity measures) and serum hormone measurements (insulin-like growth factor-I (IGF-I), total testosterone, sex hormone-binding globulin (SHBG), and calculated free testosterone) were included. Multivariable-adjusted linear regression models were used to determine the geometric mean hormone and SHBG concentrations across categories of each exposure.</p><p><strong>Results: </strong>Common measurements of adiposity were highly correlated with MRI measures of central and total adiposity (r = 0.76-0.91), although correlations with ectopic fat (liver fat and MFI) were lower (r = 0.43-0.54). Most adiposity measurements showed an inverse U- or J-shaped association with circulating IGF-I and free testosterone; however, MFI was linearly inversely associated, and lean tissue volume was positively associated with both IGF-I and free testosterone concentrations. All body composition measures were inversely associated with total testosterone and SHBG concentrations (relative geometric mean difference between Q5 vs. Q1: 20-30%).</p><p><strong>Conclusion: </strong>Our results show that common adiposity and most MRI measures of adiposity relate similarly to serum hormone concentrations; however, associations with ectopic fat (particularly MFI) and lean tissue were different.</p>","PeriodicalId":14183,"journal":{"name":"International Journal of Obesity","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142465398","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}