Obesities最新文献

{"title":"Obesity and Residents’ Perceptions of Their Neighborhood’s Urban Amenities and Ambient Environment","authors":"Rayman Mohamed, B. Arnetz","doi":"10.3390/obesities3020014","DOIUrl":"https://doi.org/10.3390/obesities3020014","url":null,"abstract":"There is a lack of research on how perceptions about urban spaces are associated with obesity. We surveyed 347 residents in a rapidly changing area of Detroit, Michigan about their perceptions of urban amenities and the ambient environment. We use principal component analysis to reduce the urban amenity and ambient environment variables to a manageable number. We use a spatial error model to account for spatial autocorrelation. We find that more urban amenities are associated with decreased obesity. A one-percent increase in residents’ perceptions of the availability of urban amenities is associated with a 0.13 percent decrease in obesity. Adverse ambient environments are associated with increased obesity. A one-percent increase in residents’ perceptions of adverse ambient environment quality is associated with a 0.12-percent increase in obesity. Addressing residents’ perceptions about urban spaces can provide planners with an additional tool to tackle obesity.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43034633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Respiratory Muscle Strength in Brazilian Adolescents: Impact of Body Composition","authors":"Viviane Campos de Lima, M. Marquezi, Paulo Roberto Alcantara, Nayara Barbosa Lopes, C. S. Frientes, Thais Miriã da Silva Santos, Leonardo Ribeiro Miedes, Matheus Silva Fornel, Danielle Castro Oliveira, P. Rogeri, A. L. Lancha Junior, Nathalia Bernardes, J. M. Lino Aparecido","doi":"10.3390/obesities3020013","DOIUrl":"https://doi.org/10.3390/obesities3020013","url":null,"abstract":"(1) Introduction: Studies on respiratory muscle strength (RMS) in adolescents are controversial. Few studies so far have investigated respiratory muscle strength in Brazilian adolescents and the impact of body composition on it. (2) Objective: to evaluate the respiratory muscle strength of Brazilian adolescents and compare this with nationally and internationally predicted normality values. (3) Method: A cross-sectional study (CAEE: 34634414.5.0000.5479) was carried out with 98 adolescents, where both sexes were divided into four groups: eutrophic (n = 44); overweight (n = 15), obese (n = 25), and severely obese (n = 14). All were submitted to an anthropometric assessment, body composition analysis and manovacuometry. To interpret the results, Analysis of Variance (ANOVA) with Turkey’s post hoc test was used. The Kruskal–Wallis test and Friedman’s post hoc test were used to compare the observed vs. proposed results. A p-value < 0.05 was considered statistically significant. (4) Results: There were no differences among the groups for maximal inspiratory (MIP) and expiratory (MEP) pressures. However, when considering the total sample, we could say that RMS was higher among boys, and there were no significant differences in RMS in relation to the maturational stage. The values obtained for MIP were lower than those suggested for the national equation and higher than those proposed for the international equation. Similarly, the values obtained for MEP were lower than those suggested for the national and international equation. (5) Conclusions: RMS was similar in adolescents with different body compositions and different maturation stages. Adiposity did not interfere with RMS in adolescents. Boys had higher MIP and MEP values compared to girls. Therefore, the reference values proposed by the equations do not consistently match RMS in the adolescents studied. This context reinforces the need for new studies that are related to RMS to establish normality values and propose equations that represent the youth population.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48461126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trend in Hypertension Prevalence and Health Behaviors among the Brazilian Adult Population: 2006–2019","authors":"T. C. M. Caldeira, Ana Claudia R. A. Sereno, M. M. Soares, E. G. Maia, R. Claro","doi":"10.3390/obesities3020012","DOIUrl":"https://doi.org/10.3390/obesities3020012","url":null,"abstract":"Our objective was to analyze temporal trends in the prevalence of self-reported hypertension among Brazilian adults and to investigate differences in health behaviors between individuals with and without hypertension between 2006 and 2019. Data from the Surveillance System for Risk Factors and Protection for Chronic Diseases by Telephone Survey were analyzed (n = 730,309). Prais–Winsten regression was used to identify linear trends in the prevalence of hypertension for the entire period (2006–2019) and for the past 5 years. Poisson regression models were used to investigate the differences in health behaviors among individuals with and without hypertension. The prevalence of hypertension (approximately 24.0%) remained stable from 2006 to 2019 and decreased from 25.1% to 24.6% from 2015 to 2019. In the adjusted analyses, individuals with hypertension showed a significant association with unhealthy lifestyle habits: lower recommended intake of fruits and vegetables (APR = 0.97; p = 0.022), lower regular intake of fruits (APR = 0.98; p < 0.001), lower regular intake of beans (APR = 0.97; p < 0.001), lower leisure-time exercising (APR = 0.89; p < 0.001), higher abusive consumption of alcoholic beverages (APR = 1.04; p = 0.004), higher prevalence of overweight (APR = 1.40; p < 0.001), and higher prevalence of obesity (APR = 2.17; p < 0.001). Hypertension prevalence has remained stable during the entire period and decreased in the most recent period. Individuals with hypertension reported unfavorable scenarios for healthy habits.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45214616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-Designing and Refining a Home-Based Exercise Programme for Adults Living with Overweight and Obesity: Insight from People with Lived Experience","authors":"Sofie Power, Nikita Rowley, M. Duncan, D. Broom","doi":"10.3390/obesities3020011","DOIUrl":"https://doi.org/10.3390/obesities3020011","url":null,"abstract":"Undertaking a home-based exercise programme should be a positive, health-enhancing lifestyle behaviour, particularly for adults living with overweight and obesity. However, exercise programmes are seldom designed in collaboration with people with lived experience, limiting adherence, efficacy, and effectiveness. Two focus groups (in-person n = 6 and virtual n = 7) were undertaken in the United Kingdom, to glean feedback and further refine a home-based exercise programme, developed from previously conducted semi-structured interviews with adults living with overweight and obesity. Both focus groups provided an opportunity for participants to discuss the proposed programme, highlighting strengths and areas for further improvement. Three key priorities were identified for consideration throughout the design process, specifically for adults living with overweight and obesity: (1) individualisation—a person-centred programme was non-negotiable; (2) motivation—integration of motivational features affected adherence and engagement; (3) more than just weight loss—consideration of other outcomes aside from solely numerical weight loss. These priorities provide direction for further refinement of the proposed home-based exercise programme, in an effort to ensure the final intervention is truly population-specific and needs-sensitive. Following completion, the programme will be assessed using a feasibility randomised controlled trial design.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45108746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Trend of Severe Obesity in Brazilian State Capitals (2006–2021)","authors":"F. B. Dias, Tiago Feitosa da Silva, Yara de Moura Magalhães Lima, Luana Silva de Farias, Jhonatan Gomes Gadelha, A. A. Ramalho","doi":"10.3390/obesities3020010","DOIUrl":"https://doi.org/10.3390/obesities3020010","url":null,"abstract":"The aim of this study was to analyze the trend of severe obesity in the capitals of the Brazilian states and the Federal District, from 2006 to 2021. For this purpose, a time-series, population-based, observational study was designed using data from the VIGITEL Survey. The dependent variable of this study was the prevalence of severe obesity, which was defined as a body mass index ≥ 40 kg/m2. Time series analysis was conducted using Joinpoint Regression Analysis Software v.4.9.1.0. In this study, a normal distribution was assumed, and the average annual percentage change (AAPC) and 95% confidence intervals (95% CIs) were presented. In total, 778,445 individuals participated in the study (38.2% were male and 61.8% were female). The prevalence of severe obesity has increased from 1.1% in 2006 to 1.9% in 2021. The average annual percentage change indicates an upward trend for the period (AAPC: 4.7; 95% CI: 3.8; 5.7). When stratifying the trend of severe obesity by sex, a significant upward trend was observed for females (AAPC: 4.3; 95% CI: 1.9; 6.8). There was a significant upward trend for all age groups, skin colors, and education levels. However, the older age groups and those with less education had lower AAPC.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45835214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Women’s and Men’s Body Shapes in Explicit and Implicit Fat Stigma","authors":"J. Krems, Jarrod E. Bock","doi":"10.3390/obesities3020009","DOIUrl":"https://doi.org/10.3390/obesities3020009","url":null,"abstract":"Beyond being painful, fat stigma might facilitate pernicious consequences; over and above one’s weight, fat stigma is associated with lesser wellbeing, poorer health, greater all-cause mortality, and weight gains that perpetuate the weight-stigma cycle. To combat fat stigma effectively requires an understanding of the perceptual calculus underlying it. Here, we seized upon new work asserting that importance of a previously overlooked variable in this calculus—fat deposition location (body shape)—and we examine basic but fundamental open questions about the role of body shape in fat stigma via two experiments (one pre-registered). We replicate and extend work investigating how body shape—over and above body size—drives stigma toward women, using a figure set created specifically to test predictions about the role of body shape as well as size. We asked: (1) Are findings of greater explicit stigma toward adult women with abdominal (gut) versus gluteofemoral fat depositions (hips, thighs, buttocks) replicated—and (2) does this same finding hold for implicit stigma?; (3) Are male targets similarly stigmatized as a function of shape? (4) Do individual difference factors known to predict anti-fat stigma, e.g., Protestant Work Ethic, play a role here? We examined these questions by presenting American participants with women and men targets varying in both body size and shape—assessing participants’ explicit stigma (via self-report) and implicit stigma (via the Attitude Misattribution Procedure; AMP). We replicated the pattern that explicit fat stigma toward women is shape-sensitive and extend that to implicit stigma—finding, for example, that, of two women with the same exact heights and higher weights, the woman with abdominal fat deposition is more stigmatized than the woman with gluteofemoral fat deposition. We found no consistent results regarding the role of body shape in driving fat stigma toward men. We also found that some individual difference factors predicting anti-fat stigma were also attuned to body shape as well as body size. The results underscore the importance of integrating body shape into future work on fat stigma (toward women).","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42347885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Physical Activity, Sedentary Behaviour and Cardiovascular Risk Factors in Overweight Low-Income Schoolchildren: A Complex System Perspective","authors":"Thaynã Bezerra, Anastácio Souza Filho, Natália Quirino, Paulo Bandeira, Luciana Cabral, Cézane Reuter, Clarice Martins, Ferdinando Carvalho","doi":"10.3390/obesities3010008","DOIUrl":"https://doi.org/10.3390/obesities3010008","url":null,"abstract":"Background: This study analysed through the perspective of networks the association between physical activity (PA), sedentary behaviour (SB), and cardiovascular risk factors in overweight low-income schoolchildren from the perspective of complex systems. Methods: The sample consisted of 41 overweight children between 6 and 10 years old (56% girls). PA and SB were analysed by accelerometer, and the measures of cardiovascular factor risk were: anthropometric and hemodynamic measurements, body fat, lipid profile and glucose, cardiorespiratory fitness (CRF), left ventricular mass (LVM), and Sokolow–Lyon. Network analysis with Bootstrap-1000 was performed to analyse the association between PA, SB and the cardiovascular risk factors. Results: Moderate-to-vigorous PA was positive related to waist circumference (WC; 0.499), HDL-C (0.307), and CRF (0.276), and negatively associated with BMI (−0.251) and Fat (−0.341). For SB, positive associations were seen with WC (0.326), CRF (0.296), LVM (0.250) and Sokolow (0.215). In addition, the centrality indicators highlighted WC as the most important variable in the network. Conclusion: Interventions that aim to mitigate the harmful effects of obesity on cardiovascular risk factors in overweight children should consider WC as an important variable in the system.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136195986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Trend of Multimorbidity of Noncommunicable Diseases among Brazilian Adults, 2006–2021","authors":"T. C. M. Caldeira, T. M. Sousa, M. M. Soares, I. P. A. Veiga, L. E. S. Silva, R. Claro","doi":"10.3390/obesities3010007","DOIUrl":"https://doi.org/10.3390/obesities3010007","url":null,"abstract":"We aimed to identify the temporal trend of multimorbidity of noncommunicable disease (NCDs) among Brazilian adults (n = 784,479) over a 16-year period of time. This is a time series of cross-sectional studies based on data from the Surveillance System of Risk and Protective Factors for Chronic Diseases by Telephone Survey (Vigitel) from 2006 to 2021. The presence of multimorbidity was assessed from the co-occurrence of (1) obesity and diabetes; (2) obesity and hypertension; and (3) obesity and diabetes and/or hypertension. Linear regression models (Prais–Winsten) were used to identify significant trends for the complete period (2006–2021) and the most recent quinquennium (2017–2021). Multimorbidity of obesity and diabetes and/or hypertension increased in the complete period (5.5% to 9.6%; 0.22 pp/year) and the most recent period (8.3% to 9.6%; 0.40 pp/year) studied. The highest increase occurred especially among men, older adults, and those with fewer years of education. Additionally, there was a high prevalence and an intense increase in multimorbidity among adults with poor self-rated health. These results reinforce the need for expanding and strengthening public health actions focused on individuals with multimorbidity especially with obesity.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44217753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disrupting the Mood and Obesity Cycle: The Potential Role of Metformin","authors":"S. Doan, Sunita K. Patel, Bin Xie, R. Nelson, Lisa D. Yee","doi":"10.3390/obesities3010006","DOIUrl":"https://doi.org/10.3390/obesities3010006","url":null,"abstract":"Mounting evidence links obesity, metabolic dysfunction, mood, and cognition. Compromised metabolic health and psychological functioning worsen clinical outcomes, diminish quality of life, and contribute to comorbid conditions. As a medication with both insulin-sensitizing and anti-inflammatory effects, metformin affords the exciting opportunity to abrogate the bidirectional relationship between poor metabolic health and psychological function. In the current paper, we review the literature linking metformin to mood and cognitive function, examine potential underlying mechanisms, and suggest new directions for investigating the role of metformin in increasing adherence to health behavior recommendations.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46383961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why Are Obese People Predisposed to Severe Disease in Viral Respiratory Infections?","authors":"R. Aziz, A. Sherwani, Saeed Al Mahri, S. Malik, S. Mohammad","doi":"10.3390/obesities3010005","DOIUrl":"https://doi.org/10.3390/obesities3010005","url":null,"abstract":"Obesity is one of the most pressing healthcare concerns of the twenty-first century. Obesity prevalence has risen dramatically in recent decades, and in 2016, more than 1.9 billion adults were overweight (BMI ≥ 25 kg/m2) and 650 million were obese (BMI ≥ 30 kg/m2). About 50% of the world’s population is anticipated to be obese/overweight within the next decade. Obesity is a major risk factor for a variety of non-communicable diseases, including type 2 diabetes mellitus, cardiovascular disease, non-alcoholic fatty liver disease, and a variety of malignancies. Obesity has emerged as a substantial risk factor for hospitalization and death from viral respiratory infections such as influenza A and the ongoing pandemic SARS-CoV-2. Several independent studies have indicated that obese/overweight patients are at a higher risk of severe disease and death from these respiratory diseases. Excess fat, particularly visceral fat, contributes to the development of a variety of metabolic disorders, including persistent systemic inflammation and decreased immunological function. As a result, the immunological response to infectious pathogens is weakened, resulting in poorer outcomes post-infection. Additionally, the poor lung mechanics associated with obesity may increase the risk of more serious respiratory infections. In this review, we address the likely mechanism(s) that predispose obese people to severe diseases caused by viral respiratory infections.","PeriodicalId":93598,"journal":{"name":"Obesities","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41925371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}