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Introduction: The World Health Organization (WHO) 2030 agenda for Sustainable Development Goals (SDGs target 3.4) identifies non-communicable diseases (NCDs) as a key challenge for sustainable development. As one of the major NCD risks, here, we estimated the prevalence of overweight/obesity in adults and assessed country-economic variations using meta-analysis. Methods: The latest STEPwise approach to NCD risk factor surveillance (STEPS) report of WHO member states studied on overweight/obesity from 2000 to 2020 were reviewed and related data were assessed further. The prevalence of overweight/obesity was pooled using the random effects model. The subgroup analysis and meta-regression were performed based on countries' economic status obtained from the World Bank's country development index 2019. Study heterogeneity and publication bias were also observed. Results: Out of 73 studies with 469,766 participants analyzed, the highest overweight/obesity prevalence was found in American Samoa (93.5 %), while Democratic People's Republic of Korea had the lowest prevalence (4.4 %). The overall weighted pooled prevalence of overweight/obesity regardless of countries economic status was 37.0 % [95 % CI: 33 %-42 %]. There was significant heterogeneity in the prevalence of overweight/obesity (I2 = 99.91 %; p < 0.001). Subgroup analysis revealed a higher prevalence in high-income countries [60 %; 95 % CI: 47 %-72 %]. Meta-regression revealed a significant (p = 0.001) association and a 14 % increase chance of having overweight/obesity with increasing economic status. Conclusion: The prevalence of overweight/obesity is high worldwide, especially in high-income countries that demands a large-scale awareness campaigns and effective initiatives to control overweight/obesity and the associated risk factors of adults of these countries.

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Background: The increasing prevalence of child and adolescent overweight and obesity (CAOAO) in Beijing poses significant health and economic challenges. This study assesses the potential health and economic outcomes of implementing specific interventions to address CAOAO in Beijing. Methods: A deterministic Markov cohort model was used to estimate the impact of five interventions from 2025 to 2115: restrictions on unhealthy food marketing to children, mandatory front of package labeling (FOPL), family-based nutrition and exercise education, school-based nutritional health education, and nutritional counseling in primary healthcare. The model evaluated societal costs, healthcare savings, wages, and economic productivity in adulthood, calculating the return on investment (ROI) for each intervention and their combined effect. Result: Without intervention, Beijing is projected to experience a loss of 13.4 million disability-adjusted life years (DALYs) due to CAOAO. The health and economic impact of childhood obesity in Beijing is projected to be CNY 14.6 trillion (USD 2.1 trillion), or a lifetime loss of CNY 6.8 million (USD 0.96 million) per affected child, exceeding the sum of Beijing's GDP from 2021 to 2023. Restrictions on unhealthy food marketing to children and nutrition counseling in primary healthcare are projected to yield the highest returns, with benefits accruing within one year of implementation. Owing to the substantial upfront costs, including personnel, materials, and training, school-based and family-based interventions require a longer time horizon to realize significant health and economic benefits. Conclusions: Effective management of CAOAO in Beijing demands a multifaceted approach. The combination of restrictions on unhealthy food marketing to children, mandatory front of package labeling, nutrition counseling in primary healthcare, school-based intervention, and family-based intervention presents the most substantial health and economic returns. This comprehensive strategy aligns with global best practices and addresses the unique challenges faced by Beijing in combating childhood obesity.

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PURPOSE: The aim of this study was to observe the influence of differential nutritional status on bone age (BA) change according to body mass index (BMI) and analyze the risk of advanced bone age in children with overweight and obesity. METHODS: In total 23,305 children from Beijing were included in this cross-sectional study. Childhood overweight and obesity were defined according to the China and World Health Organization growth criteria. The data were analyzed by the R coding platform version 4.3.0. RESULTS: Under the Chinese criteria, 29%, 15%, and 4% of boys with overweight; 33%, 33%, and 3% of boys with obesity; 39%, 25%, and 2% of girls with overweight; and 37%, 42% and 1% of girls with obesity had advanced, significantly advanced and delayed BA, respectively. After adjustment, overweight (odds ratio, 95% confidence interval, P under the Chinese criteria: 2.52, 2.30-2.75, <0.001 and 4.54, 4.06-5.09, <0.001) and obesity (4.31, 3.85-4.82, <0.001 and 14.01, 12.39-15.85, <0.001) were risk factors for both advanced BA and significantly advanced BA. CONCLUSIONS: Different nutritional statuses lead to differences in children's BA development. Children with overweight and obesity have higher rates of advanced BA under two growth criteria, and girls have more advances in BA than boys do. Overweight and obesity are risk factors for advanced BA.

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Background: Rising obesity rates in the workforce are accompanied by a hidden cost burden to employers due to work productivity loss. Understanding the impact of obesity on work productivity is essential for employers to provide tailored weight loss interventions in the workplace. Objectives: To measure work loss and associated productivity costs among employees with overweight/obesity compared with employees with normal weight. Methods: This retrospective cohort study used the MerativeTM MarketScan® Health and Productivity Management Database to identify adult employees with ≥1 diagnosis code reporting a body mass index (BMI) between 1/1/2015-12/31/2019. Based on the earliest BMI, employees were assigned to normal weight (BMI 19-24.9), overweight (BMI 25-29.9), obesity class 1 (BMI 30-34.9), obesity class 2 (BMI 35-39.9), and obesity class 3 (BMI ≥40) cohorts. Among employees with data for each work loss category (absenteeism, short-term disability [STD], long-term disability [LTD], worker's compensation [WC]) during the 12-month follow-up, the percentage of employees with work loss, number of hours/days lost, and associated productivity costs were reported. Results: 719,482 employees (normal weight: 106,631, overweight: 230,637, obesity class 1: 185,850, obesity class 2: 101,909, obesity class 3: 94,455) were included. Outcomes increased with each higher BMI category for the mean number of absence hours ([in order of BMI category]: 262, 273, 285, 290, 304) and percentage of employees with a claim (STD: 6.8%, 7.6%, 9.7%, 11.7%, 17.0%; LTD: 0.4%, 0.4%, 0.5%, 0.6%, 0.8%; WC: 2.7%, 2.8%, 3.4%, 3.6%, 3.5%). Estimated costs to the employer associated with absenteeism, STD, LTD, and WC were $1,036, $611, $38, and $95 higher per year (respectively) in the obesity class 3 cohort relative to the normal weight cohort. Conclusions: This real-world analysis demonstrated that employees with overweight/obesity had higher loss of work productivity compared with employees with normal weight. Further studies are warranted to determine the long-term impacts on work productivity loss if overweight and obesity are left untreated.

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OBJECTIVES: To examine the effects of foot dominance and body mass on foot plantar pressures in older women of regular, overweight, and obese weights. METHODS: 96 female adults were divided into regular-weight group (68.30 ± 4.19 yr), overweight group (69.88 ± 3.76 yr), and obesity group (68.47 ± 3.67 yr) based on their body mass index scores. Footscan® plantar pressure test system was used to assess the dynamic plantar pressures, and parameters were collected from risk analysis, foot axis analysis, single foot timing analysis, and pressure analysis. RESULTS: (1) The local risks of lateral forefoot and midfoot, the minimum and maximum subtalar joint angles, the flexibility of subtalar joint, foot flat phase, as well as the average pressures on toes, metatarsals,, midfoot, and lateral heel, with the peak pressures on toe 2-5, metatarsal 2, metatarsal 5, midfoot, and lateral heel had significant within-subject differences. (2) The phases of initial contact and foot flat, the average pressures on toe 2-5, metatarsals, midfoot, and heels, with the peak pressures on metatarsal 1-4, midfoot, and heels exhibited significant between-subjects differences. (3) There was an interaction effect of foot dominance and body mass index on the flexibility of subtalar joint. CONCLUSIONS: The non-dominant foot works better for stability, especially when touching on and off the ground. The dominant foot works better for propulsion but is more susceptible to pain, injury, and falls. For obese older women, the forefoot and midfoot are primarily responsible for maintaining stability, but the lateral midfoot and hindfoot are more prone to pain and discomfort.

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BACKGROUND: Non-communicable diseases are important causes of morbidity and mortality throughout the world. METHODS: A community-based cross-sectional study conducted in 10 Indian states using multi-stage random sampling procedures. Information was collected on socio-economic and demographic particulars, anthropometric measurements such as height, weight and waist circumference, fasting blood glucose and blood pressure was measured. One day 24-h dietary recall was done for foods and nutrient intakes. Bivariate and multivariate step-wise logistic regression analyses was done. RESULTS: The prevalence of overweight/obesity among rural adults was 23.4 % (95 % CI: 22.9-23.9), while age adjusted prevalence of pre-diabetes was 8.4 % (95 % CI: 8.1-8.7) and diabetes was 6.8, (95 % CI 6.7-7.1), respectively. The prevalence of diabetes was lowest in Uttar Pradesh, West Bengal and Odisha (3-4%) and higher in Kerala and Tamil Nadu (12-15 %). The odds of diabetes was 5.5 times more among elderly, 1.3 times higher among Christians and among high income groups, and 2 times among overweight (CI: 1.50-2.50), obese (CI: 1.61-2.76) and abdominal obesity (OR; 1.57; CI: 1.29-1.91) and 1.6 times more among hypertensives. The odds of diabetes were high among those consuming the lower tertiles of carbohydrates, pulses, milk and milk products and folic acid. CONCLUSION: the age-adjusted prevalence of diabetes and pre-diabetes was 6.8 % and 8.4 % respectively and the odds of diabetes was high among elderly, among high socio-economic groups, overweight/obese subjects and among hypertensives. Also, knowledge about symptoms of diabetes was low. There is a need to improve awareness for early diagnosis and treatment for control of diabetes and hypertension.

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Objective: This study aimed to analyze the relationship between the sleep quality of healthcare professionals and the incidence of overweight and obesity, exploring the potential impact of sleep quality on the onset of overweight and obesity in order to provide a scientific basis for formulating effective health intervention measures. Methods: A convenience sampling method was used to conduct a survey on the sleep characteristics and obesity status among healthcare professionals at Peking Union Medical College Hospital and Tianjin Dongli District Traditional Chinese Medicine Hospital. The survey was conducted via online questionnaires, which included demographic data, the Pittsburgh Sleep Quality Index (PSQI), height, weight, and related sleep, exercise, and dietary habits. Univariate and multivariate logistic regression analyses were applied to study the relationship between sleep quality and overweight/obesity among healthcare professionals. Results: A total of 402 questionnaires were distributed, with a 100% retrieval rate, yielding 402 valid questionnaires. The average body mass index of the 402 participants was 23.22 ± 3.87 kg/m^2. Among them, 144 cases were overweight or obese, accounting for 35.8% (144/402) of the total. The prevalence of poor sleep quality among healthcare professionals was 27.4% (110/402), with an average PSQI score of 8.37 ± 3.624. The rate of poor sleep quality was significantly higher in the overweight and obese group compared to the normal weight group (36.1% vs. 22.5%, p = 0.003). The multivariate analysis indicated that gender, marital status, lower education level, sleep duration (odds ratio [OR] =1.411, 95% confidence interval [CI] 1.043-1.910, p = 0.026), and sleep disturbances (OR = 1.574, 95%CI 1.123-2.206, p = 0.008) were significant risk factors for overweight and obesity among healthcare professionals. Conclusion: Overweight or obese healthcare professionals had poorer sleep quality compared to those with a normal weight. Sleep duration and sleep disorders were identified as independent risk factors for overweight or obesity in healthcare professionals. Increasing sleep duration and improving sleep disorders may play a positive role in controlling overweight and obesity among healthcare professionals.

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BACKGROUND: Faecal microbiota transplantation holds promise in mitigating fat accumulation and improving obesity. This study aimed to evaluate the long-term efficacy of washed microbiota transplantation (WMT) among overweight patients. METHODS: The clinical data pertaining to the treatment of patients with WMT were collected retrospectively. Compared alterations in body mass index (BMI), blood glucose, blood lipids and blood pressure prior to and following WMT treatment. Comprehensive efficacy evaluation and atherosclerosis cardiovascular disease (ASCVD) grading evaluation were carried out, with an analysis of gut microbiota composition before and after WMT. RESULTS: A total of 186 patients were included (80 overweight, 106 normal weight). WMT not only had the effect of improving overweight patients to the normal weight patients (p < .001), but also could significantly reduce BMI in the long term by restoring gut microbiota homeostasis (p < .001). In addition, the BMI improvement value of multi course was more significant than that of single course or double course. WMT had a significant ASCVD downgrade effect on the high-risk and medium-risk groups outside 1 year, while it did not increase the risk of upgrading ASCVD for low-risk group. CONCLUSIONS: WMT could significantly reduce the BMI of overweight patients and still had an improvement effect in the long term.

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PURPOSE: Though research indicates that certain aspects of adverse neighborhood conditions may influence weight development in childhood and adolescence, it is unknown if the Child Opportunity Index (COI), a composite measure of 29 indicators of neighborhood conditions, is associated with weight outcomes in adolescence. We hypothesized that lower COI would be associated with higher overweight and obesity in cross-sectional and longitudinal modeling in a national sample of 9 year olds and 10 year olds and that this association would be different by sex. METHODS: Using data from the Adolescent Brain Cognitive Development study (n = 11,857), we examined the cross-sectional association between COI quintile and overweight and obesity in 9 year olds and 10 year olds. Additionally, we used hazard ratios to examine incident overweight and obesity across three waves of data collection. RESULTS: Due to the interaction between sex and COI (p < .05), we present sex-specific models. There was a stepwise bivariate association, in which higher COI was associated with lower obesity prevalence. This pattern held in multilevel models, with a stronger association in females. In models adjusted for individual and household characteristics, female adolescents in the lowest quintile COI neighborhoods had 1.81 (95% confidence interval: 1.32, 2.48) times the odds of obesity compared to those in the highest quintile. In longitudinal models, the COI was associated with incident obesity in females only: adjusted hazard ratio = 4.27 (95% confidence interval: 1.50, 12.13) for lowest compared to highest COI. DISCUSSION: Neighborhood opportunity is associated with risk of obesity in pre-adolescence into mid-adolescence. Females may be particularly influenced by neighborhood conditions.

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PURPOSE: In adults, diets rich in protein seem beneficial in relation to satiety, weight loss, and weight management; however, studies investigating dietary protein and weight development in children are scarce and inconsistent. This nonrandomized controlled trial aimed to investigate the effect of a higher protein diet during lifestyle intervention on anthropometry and metabolic biomarkers in children with overweight and obesity. METHODS: Children (n:208) were recruited from two multicomponent lifestyle camps. One camp was assigned as the intervention group. In the intervention group, carbohydrates-rich foods at breakfast and two in-between-meals were replaced with protein-containing foods to increase the amount of protein from ~ 10-15 energy percent (E%) per day to ~ 25E% per day. Other components were similar between groups. Anthropometry and biochemical measurements were collected at baseline, 10 weeks (after camp) and 52 weeks. RESULTS: The intervention group had a non-significant improvement in BMI-SDS (- 0.07 SD (- 0.19; 0.05), p = 0.24) compared to the control group, but in general, there was no effect of a higher protein diet on anthropometry and metabolic biomarkers. Overall, 10 weeks at camp resulted in a more favorable body composition [- 6.50 kg (p < 0.00), - 0.58 BMI-SDS (p < 0.00), and - 5.92% body fat (p < 0.00)], and improved metabolic health, with most changes maintained at 52 weeks. CONCLUSION: A higher protein diet had no significant effect on body composition and metabolic health; however, these lifestyle camps are an efficiatious treatment strategy for childhood obesity. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov with ID: NCT04522921. Preregistered August 21st 2020.

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The aim of this study is to investigate the impact of exercise on intermediate disease markers in populations with overweight and obesity, providing evidence-based recommendations for clinicians to utilize these markers in developing exercise prescriptions for this group. The study was conducted by retrieving data from PubMed, Embase, Cochrane Library, Web of Science, and CNKI and only including Randomized Controlled Trials (RCTs) to examine the effect of different exercise interventions on intermediate disease markers in overweight and obese people. The quality of the included studies was evaluated using the Cochrane Bias Risk Assessment tool and the data was analyzed using Stata 15.1 data analysis software. The RCTs were collected from January 2017 to March 2024. A total of 56 RCTs were included and the results of 10 outcomes were analyzed using random effects meta-analysis. The total sample size used in the study was 3193 The results showed that resistance training significantly reduced total cholesterol (SUCRA: 99.9%), triglycerides (SUCRA: 100.0%), low-density lipoprotein (SUCRA: 100.0%), systolic pressure (SUCRA: 92.5%), and increased high-density lipoprotein (SUCRA: 100.0%). Aerobic exercise significantly reduced insulin (SUCRA: 89.1%) and HbA1c (SUCRA: 95.3%). Concurrent training significantly reduced HOMA-IR (SUCRA: 93.8%), diastolic blood pressure (SUCRA: 71.2%) and Glucose (SUCRA: 87.6%). Exercise has a significant impact on intermediate disease markers in populations with overweight and obese. Compared with no exercise, exercise lowers total cholesterol, triglycerides, LDL, systolic blood pressure, diastolic blood pressure, HOMA-IR, insulin, and HbA1c, and increases HDL in people with overweight and obese. These findings provide evidence-based recommendations for exercise interventions aimed at weight reduction and the prevention of chronic diseases in individuals with overweight and obese.

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OBJECTIVES: Overweight and obesity (OWOB) starts in childhood, influences adult cardiovascular risk, and is not equally distributed across ethnic groups. It is unclear which effects can be expected from reductions in OWOB across the life course on inequalities in cardio-metabolic diseases in a multi-ethnic population. This study aims to estimate the effects of three scenarios of changes in OWOB (the Normal-Weight-for-All scenario, the No-Ethnic-Difference-over-the-Life-Course scenario, the and No-Ethnic-Differences-in-Childhood scenario). STUDY DESIGN: A simulation study. METHODS: We combine data from multiple data sources and use the Dynamic Modeling for Health Impact Assessment (DYNAMO-HIA) model to estimate the effects of three scenarios on the cumulative incidence of diabetes mellitus, ischaemic heart disease (IHD) and stroke between 18 and 70 years in the five largest ethnic groups in the Netherlands. RESULTS: In the scenario where all individuals have normal weight, the cumulative incidence decreased in all ethnic minority groups for all diseases, with largest decreases among South-Asian Surinamese, where the reduction of diabetes incidence exceeded 50%. In the scenario where the prevalence of OWOB in each ethnic-minority group was reduced to the current level among the Dutch-origin population, ethnic inequalities in cardio-metabolic diseases were substantially reduced, particularly when lowered prevalence of OWOB persisted across the lifespan. Reductions were the largest for diabetes and for the Asian Surinamese population. CONCLUSIONS: A substantial part of the well-known ethnic inequalities in incidence of diabetes, IHD, and stroke can be attributed to OWOB. Interventions aimed at reducing OWOB have clear potential to reduce the health inequalities in these outcomes, especially for diabetes, in particular when they have an impact across the lifespan.

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Introduction: Body mass composition is directly related to health and its disorders are correlated with diseases such as obesity, diabetes, osteoporosis and sarcopenia. The purpose of this study was to analyze body mass composition among traditional elementary school students and ballet school students. Methods: A total of 340 students participated in the study, 95 of whom attended ballet school and 245 elementary school students. A Tanita BC-418 MA analyzer was used to analyze body mass composition. Such body composition indices as BMI (Body Mass Index), muscle mass, fat mass, lean body mass and water content were evaluated. Results: The results show statistical significance for BMI between high school ballet students and elementary school ballet students, as well between high school ballet students and elementary school students. Comparisons in relation to gender and schools BMI, statistical significance was obtained for: BHSw (ballet high school women) and EBSw (elementary ballet school women), BHSw and ESw (elementary school women), BHSm (ballet high school men) and EBSm (elementary ballet school men), and between BHSm and ESw. Comparing muscle mass index (kg) between ballet high school and elementary school, between ballet high school and elementary school, and between ballet high school and elementary school - statistical significance was obtained for all comparisons. Analyzing in pairwise comparisons by gender and school achieved a statistically significant difference for: BHSw and EBSw, BHSm and EBSw, EBSw and ESm. Comparing the fat mass index (kg), no significant differences were observed between the analyzed schools and the school and gender of the children studied. The value of the lean body mass index differed significantly between groups by school and gender. Comparing the water content index, statistically significant differences were obtained for school and gender. Discussion: The body mass composition of ballet school students differs from that of standard school students.

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INTRODUCTION: This cross-sectional study aimed to examine the association between overweight/obesity and the combined behavior of speed-eating and eating until full among part-time high school students. METHODS: In 2015, 2,507 male and female part-time high school students from Hyogo Prefecture, Japan, who completed a self-reported questionnaire on lifestyle, were included in the analysis. Overweight/obesity was defined as a body mass index of 25 kg/m2 or more. Responses regarding speed-eating and eating until full were obtained by self-reporting. Logistic regression analysis was used to estimate the odds ratio (OR) for overweight/obesity. RESULTS: Among the participants, 340 (13.6%) were overweight/obese and 468 (18.7%) reported both speed-eating and eating until full. Compared to neither speed-eating nor eating until full group, after adjustment for sex, age, work pattern, physical activity level, sleep duration, frequency of picky eating, frequency of snack intake, fast food intake frequency, frequency of adding salty condiments, frequency of eating less food to save money, and survey schools, the OR (95% CI) for overweight/obesity in speed-eating and not eating until full, eating until full and not speed-eating, and speed-eating and eating until full was 2.11 (1.38-3.22), 1.54 (1.12-2.10), and 2.94 (2.08-4.16), respectively. CONCLUSIONS: The combination of speed-eating and eating until full was associated with overweight/obesity among part-time high school students independent of other lifestyle factors.

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OBJECTIVES: This study aimed to compare and rank the effectiveness of aerobic exercise, resistance training, combined aerobic and resistance exercise, and high-intensity interval training on inflammatory marker levels in women with overweight and obesity by using network meta-analysis. DESIGN: Systematic review with network meta-analysis and Grading Recommendations Assessment, Development, and Evaluation of the evidence. METHODS: Literature as of April 2023 was searched from databases such as Cochrane, Embase, Pubmed, Web of Science, and EBSCO, and English-language randomized controlled trials that meet the inclusion criteria were selected. A random-effects network meta-analysis was performed within a frequentist framework. RESULTS: A total of 75 articles and 4048 participants were included. Resistance training was the most recommended type of exercise to decrease C-reactive protein levels (surface under cumulative ranking = 90.1; standardized mean difference = -0.79, 95 % confidence interval: -1.17, -0.42); aerobic exercise was the most effective exercise type to reduce tumor necrosis factor-α levels (surface under cumulative ranking = 87.9; standardized mean difference = -0.79, 95 % confidence interval: -1.19, -0.39); combined aerobic and resistance exercise was the most effective type of exercise to reduce interleukin-6 levels (surface under cumulative ranking = 75.8; standardized mean difference = -0.77, 95 % confidence interval: -1.38, -0.16) and leptin levels (surface under cumulative ranking = 77.1; standardized mean difference = -0.96, 95 % confidence interval: -1.72, -0.20), and high-intensity interval training was the type of exercise that was well suited to increase adiponectin levels (surface under cumulative ranking = 87.2; standardized mean difference = 0.99, 95 % confidence interval: 0.27, 1.71). CONCLUSIONS: This network meta-analysis based on randomized controlled trials confirmed that different exercise types have different efficacies on inflammation indicators among women with overweight and obesity. The findings may provide clinicians and healthcare professionals with insights into the implementation of exercise programs for women struggling with overweight and obesity.

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Introduction: In the modern era, the maternal perception of children's nutritional status has emerged as a critical area of study, given its potential influence on nutritional interventions and long-term child health. The relationship between this perception and children's Body Mass Index (BMI) by age is particularly intriguing, as it may reveal discrepancies between perception and reality. Objective: The aim of this study was to evaluate Peruvian mothers' perception of their children's Body Mass Index (BMI) in relation to age and to determine how this perception associates with the children's cardiovascular risk. The study also analyzed sociodemographic factors that might influence this perception. Methods: The study included 130 mothers of schoolchildren aged 5 to 11 from a school in Lima. Mothers' perceptions of their children's weight were assessed using pictograms, and sociodemographic characteristics were collected through a questionnaire. Weight and height measurements were taken to calculate BMI, and waist circumference was measured to classify cardiovascular risk. Results: A total of 57.4% of the schoolchildren presented with excess malnutrition, and 51.5% of the mothers incorrectly classified the actual BMI/Age of their children (kappa 0.11; p ≤ 0.05). Additionally, it was found that the schoolchild's age is associated with the mother's failure to accurately perceive her child's weight (OR 1.59). Lastly, there was a significant association between maternal perception and cardiovascular risk (p ≤ 0.05). Conclusion: There is a significant discrepancy between maternal perception and the actual nutritional status of children, which can increase cardiovascular risk. It is necessary to implement intervention and education strategies targeted at parents to enhance the recognition and management of childhood overweight and obesity.

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OBJECTIVE: To investigate the association of polymorphisms in SEC16B rs633715, DNAJC27 rs713586, FTO rs11642015 and MC4R rs6567160 with overweight and obesity in Han Chinese preschool children. METHODS: A total of 749 Han Chinese preschool children from Henan and Guizhou Province of Long-term Health Effects Assessment Project of Infants and Toddlers Nutritional Pack were selected for the study and divided into an overweight and obese group and a normal control group in 2022. rs633715, rs713586, rs11642015 and rs6567160 were genotyped using Kompetitive allele-specific PCR(KASP) technology. The distribution of genotypic polymorphisms was compared using the χ~2 test. The association between the four loci and overweight and obesity in preschool children was analyzed using a multifactorial logistic regression model. RESULTS: The statistical analysis revealed a significant disparity(P<0.05) in the distribution of genotypic polymorphisms of rs633715 and rs6567160 among preschoolers in Henan and Guizhou Province. CC heterozygous mutant and recessive models at rs633715 locus were associated with susceptibility to overweight and obesity in preschool children [OR and 95% CI 2.915(1.163-7.305), and 2.997(1.226-7.323), respectively, both P<0.05]. TC heterozygous mutant and dominant models at rs713586 locus were also associated susceptibility to overweight and obesity in preschool children(OR and 95% CI were 2.362(1.054-5.289)and 2.362(1.054-5.289), respectively, both P<0.05). rs11642015 and rs6567160 loci were not associated with susceptibility to overweight and obesity in preschool children(P>0.05). The result of the analysis of the cumulative effect of rs633715 and rs713586 showed that the number of genotypes carrying the risk genotype was positively associated with the risk of overweight and obesity in preschool children(P_(trend)<0.01). CONCLUSION: Among Han Chinese preschool children, SEC16B rs633715 and DNAJC27 rs713586 were associated with susceptibility to overweight and obesity in preschool children. Moreover, rs633715 and rs713586 had a cumulative effect on susceptibility to overweight and obesity in preschool children, the number of risk genotypes carried was positively associated with childhood overweight and obesity risk.

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System dynamics approaches are increasingly addressing the complexity of public health problems such as childhood overweight and obesity. These approaches often use system mapping methods, such as the construction of causal loop diagrams, to gain an understanding of the system of interest. However, there is limited practical guidance on how such a system understanding can inform the development of an action programme that can facilitate systems changes. The Lifestyle Innovations Based on Youth Knowledge and Experience (LIKE) programme combines system dynamics and participatory action research to improve obesity-related behaviours, including diet, physical activity, sleep and sedentary behaviour, in 10-14-year-old adolescents in Amsterdam, the Netherlands. This paper illustrates how we used a previously obtained understanding of the system of obesity-related behaviours in adolescents to develop an action programme to facilitate systems changes. A team of evaluation researchers guided interdisciplinary action-groups throughout the process of identifying mechanisms, applying the Intervention Level Framework to identify leverage points and arriving at action ideas with aligning theories of change. The LIKE action programme consisted of 8 mechanisms, 9 leverage points and 14 action ideas which targeted the system's structure and function within multiple subsystems. This illustrates the feasibility of developing actions targeting higher system levels within the confines of a research project timeframe when sufficient and dedicated effort in this process is invested. Furthermore, the system dynamics action programme presented in this study contributes towards the development and implementation of public health programmes that aim to facilitate systems changes in practice.

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Youth with mental health disorders (MHD), particularly those who take psychotropic medications, are at increased risk of being overweight or obese (OW/OB) when compared to typical youth. Parents are important resources for interventions addressing OW/OB. However, parents of youth with MHD may face challenges that require interventions designed to address their needs. Prior to investing research funding in the development of interventions for this group, research is needed to understand factors associated with parents' decisions to enroll in these programs. The theory of planned behavior (TPB) provided a framework for examining parents' salient beliefs, direct attitudes, and intention to enroll in a hypothetical online healthy lifestyle intervention for their youth (ages 11-17) with OW/OB and treated with psychotropic medication. Parents who were enrolled in the study (n = 84) completed demographic questionnaires and a TPB questionnaire which was constructed for this study. A confirmatory factor analysis (CFA) of the direct attitude (i.e., attitude toward the behavior, subjective norm, perceived behavioral control) questions generally supported the three-factor model (i.e., RMSEA = .07, 90% CI .03-.11, p = .18; CFI = .96, SRMR = .06). Results from a multiple regression analysis demonstrated that direct attitudes predicted parent intention to participate in an online healthy lifestyle intervention for this sample of youth accounting for 84% of variance. In this preliminary study, the TPB appears to be a promising framework for understanding direct attitudes associated with parent intentions toward intervention participation in this population of youth. Interventions for parents of youth with OW/OB who are prescribed psychotropic medication should consider addressing these direct attitudes to improve intention.

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Aim: The impact of weight gain on insulin dosage and glycemic control in adults with type 1 diabetes (T1D) aged 25 years and older was investigated in the T1D Exchange Registry participants. Methods: Participants were categorized into four groups based on their change in weight from T1D Exchange registry enrollment to year 5: stable weight (-5 to <5 lb), gained 5 to <10 lb, gained 10 to <20 lb, or gained ≥20 lb. Those who lost >5 lb were excluded. The primary outcomes were glucose control, as measured by glycosylated hemoglobin (HbA1c), and total daily insulin dose (TDD) at year 5. Linear regression models were used to evaluate the association between weight gain, HbA1c, and TDD. Results: There were 1969 participants included in the analyses. The mean ± standard deviation age was 45 ± 13 years, 57% were female, and 92% were White non-Hispanic. For those with an enrollment HbA1c <8.0%, the mean HbA1c at year 5 was higher for those who gained ≥20 lb compared to those with a stable weight of -5 to <5 lb (7.4% ± 1.1% vs. 7.2% ± 0.8%, respectively; P = 0.005). For this cohort, the mean TDD at year 5 increased from 49 ± 25 to 61 ± 29 U for those who gained ≥20 lb, while decreased from 45 ± 27 to 44 ± 25 U for those with stable weight of -5 to <5 lb (P < 0.001). Among participants with an enrollment HbA1c ≥9.0%, the mean HbA1c at year 5 was statistically insignificant at 8.4% ± 1.3% for those who gained ≥20 lb compared to 9.2% ± 1.7% for those with a stable weight of -5 to <5 lb (P = 0.09). Conclusion: Significant weight gain in adults with T1D who had good to adequate glycemic control was associated with modest deterioration in glucose control despite an increase in TDD. Worsening glucose control may indicate insulin resistance related to weight gain despite significantly increased insulin dosage which was insufficient to maintain adequate glycemic control.

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