... to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. 2025 Psychological burden BMI Mental health Obesity stigma Obesity is associated with several medical comorbidities, and living with obesity often has a negative...

..., BMI, comorbidities, and per patient per year (PPPY) healthcare costs. Results: Of 127,536 eligible individuals, 3,962 (3.1%) underwent surgery. The surgery group was younger, a greater proportion were women, and mean BMI and rates of some comorbidities (obstructive sleep apnea, gastroesophageal reflux...

... test. A multivariate logistic regression model was created to evaluate predictors of weight variation (variables included: age, sex, and type of surgery). Results: A total of 616 patients did not have a history of depression and 230 had DDBS. There was a statistically significant difference in the BMI...

.... The aim of this study was to describe the prevalence of sleeping time, body mass index (BMI), and fat mass in Chinese freshmen and to indicate the relationship among them. Methods: We conducted a cross-sectional study consisting of 1,938 freshmen aged from 18 to 24 years, including 684 (35.3%) men...

... or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. Obesity BMI Childhood Obesity Surveillance Initiative Europe...

... environment (UNESA). Current nutritional status was assessed through the body mass index Z-score (Z-BMI). Nutritional quality of diet, schedule exercise, socioeconomic status, family, and educational variables were also recorded. Four and 8 years later, SA was assessed through the 2013 SIMCE...

.... Methods: BMI data were collected from online databases and the literature. Past and present BMI trends were extrapolated to 2025 using a non-linear categorical regression model fitted to nationally representative survey data. Where only 1 year of data was available, a flat trend was assumed. Where no data...

...Elisabeth Leehr; Katrin Elisabeth Giel; Norbert Schaeffeler; Isabelle Mack; Ansgar Thiel; Guido Zurstiege; Stephan Zipfel Objective: We investigated how individuals with normal weight (NW) versus individuals with obesity (OB) visually explore human bodies varying in BMI. Methods: 16 OB (BMI 37.5...

.... Blood samples for glucose and insulin levels are taken 2 h after a standard meal. Blood tubes with EDTA are used for ANP levels. The microvascular complications of the patients are evaluated. Results: 32 of the patients had microvascular complications. Age, BMI, waist and hip circumferences, and ANP...

...Jakob Kjellberg; Arendse Tange Larsen; Rikke Ibsen; Betina Højgaard Objective: To evaluate the socioeconomic impact of obesity by estimating the direct and indirect costs associated with obesity in Denmark, based on individual level data. Methods: Costs were assessed for different BMI groups...

... . Our aim was to investigate the association between body composition and motor performance in preschool children. Methods: A total of 476 predominantly normal-weight preschool children (age 3.9 ± 0.7 years; m/f: 251/225; BMI 16.0 ± 1.4 kg/m 2 ) participated in the Swiss Preschoolers' Health Study...

...André Hajek; Hans-Helmut König Aims: We aimed at determining the effect of BMI on functional health among older Germans longitudinally. Methods: Data from four waves (2002-2014) of the German Ageing Survey (‘Deutscher Alterssurvey'; DEAS), a representative sample of community-dwelling individuals...

... between 25-hydroxy-vitamin D (25(OH)D) level at birth and overweight at 7 years. Cases of overweight (n = 871) were randomly selected among 7-year-old children from the Copenhagen School Health Records Register (CSHRR) with a BMI above the 90th percentile. The cohort (n = 1,311) was a random sample...

... of the A-allele of rs564343 in PACS1 for obesity and severe obesity were 1.180 (p = 0.03) and 1.312 (p = 0.004), respectively. We also found that rs564343 was nominally associated with BMI, BMI standard deviation score (BMI-SDS), waist circumference, and waist-to-height ratio (p < 0.05). Conclusions: We showed...

...Kilson Moon; Carolin Krems; Thorsten Heuer; Alexander Roth; Ingrid Hoffmann Objective: The objective of the study was to identify predictors of BMI in German adults by considering the BMI distribution and to determine whether the association between BMI and its predictors varies along the BMI...

... was conducted, requesting information about the structural anchoring of measures to promote a balanced diet and adequate exercise. The 916 principals surveyed (38% response rate) represented 8,738 public institutions of compulsory education and approximately 760,000 students [ 24 ]. In the case of BMI...

...) follow-up. Methods: Cardiovascular risk factors were measured in 1972-1973 in the Oslo Study among 14,846 men born in 1923-1932. Relationships of risk factors to mortality (to 2011) were analyzed using Cox regression models, and receiver operating characteristics (ROC) were estimated. Results: BMI...

... surveys. Two adjustment approaches were used: i) covariance analysis adjusted for confounding factors (propensity score adjustment) and ii) multivariate quantile regression. Results: After adjustment, no significant associations were observed between breastfeeding and body composition parameters (BMI Z...

... negative appraisals are gender-specific and if they are modulated by the evaluators' own BMI. Methods: 202 young adults (106 male and 96 female) viewed a picture of a young attractive female (target) accompanied by one of two statements about her past weight (overweight (OW) or always kept a normal weight...

... years in the Avon Longitudinal Study of Parents and Children (ALSPAC) in the UK. In addition, longitudinal analyses were conducted between age 7 and 9 years. BMI at age 7 and 9 years was calculated from clinic-measured weight and height and standardised in reference to 1990 UK data. Dog ownership data...