Author: "Kunesova, M" / Topic: obesity - Searchworks@Jio Institute Digital Library Search Results

21 results on '"Kunesova, M"'

1. Weight loss decreases self-reported appetite and alters food preferences in overweight and obese adults: Observational data from the DiOGenes study.

Author: Andriessen C, Christensen P, Vestergaard Nielsen L, Ritz C, Astrup A, Meinert Larsen T, Martinez JA, Saris WHM, van Baak MA, Papadaki A, Kunesova M, Jebb S, Blundell J, Lawton C, and Raben A
Subjects: Adult, Area Under Curve, Body Mass Index, Body Weight Maintenance, Dietary Carbohydrates administration & dosage, Dietary Fats administration & dosage, Eating, Energy Intake, Europe, Female, Humans, Hunger, Male, Meals, Middle Aged, Overweight, Prospective Studies, Self Report, Appetite, Caloric Restriction, Diet, Reducing, Food Preferences, Obesity diet therapy, Obesity psychology, Weight Loss physiology
Abstract: People with obesity often struggle to maintain their weight loss after a weight loss period. Furthermore, the effect of weight loss on appetite and food preferences remains unclear. Hence this study investigated the effect of weight loss on subjective appetite and food preferences in healthy, overweight and obese volunteers. A subgroup of adult participants (n = 123) from the Diet Obesity and Genes (DiOGenes) study (subgroup A) was recruited from across six European countries. Participants lost ≥8% of initial body weight during an 8-week low calorie diet (LCD). Subjective appetite and food preferences were measured before and after the LCD, in response to a standardized meal test, using visual analogue rating scales (VAS) and the Leeds Food Choice Questionnaire (FCQ). After the LCD, participants reported increased fullness (p < 0.05), decreased desire to eat (p < 0.05) and decreased prospective consumption (p < 0.05) after consuming the test meal. An interaction effect (visit x time) was found for hunger ratings (p < 0.05). Area under the curve (AUC) for hunger, desire to eat and prospective consumption was decreased by 18.1%, 20.2% and 21.1% respectively whereas AUC for fullness increased by 13.9%. Preference for low-energy products measured by the Food Preference Checklist (FPC) decreased by 1.9% before the test meal and by 13.5% after the test meal (p < 0.05). High-carbohydrate and high-fat preference decreased by 11.4% and 16.2% before the test meal and by 17.4% and 22.7% after the meal (p < 0.05). No other effects were observed. These results suggest that LCD induced weight loss decreases the appetite perceptions of overweight volunteers whilst decreasing their preference for high-fat-, high-carbohydrate-, and low-energy products., (Copyright © 2018 Elsevier Ltd. All rights reserved.)
Published: 2018
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2. System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance.

Author: Montastier E, Villa-Vialaneix N, Caspar-Bauguil S, Hlavaty P, Tvrzicka E, Gonzalez I, Saris WH, Langin D, Kunesova M, and Viguerie N
Subjects: Adult, Female, Gene Expression Profiling, Humans, Middle Aged, Young Adult, Adipose Tissue metabolism, Caloric Restriction, Gene Regulatory Networks genetics, Obesity metabolism, Weight Loss genetics, Weight Loss physiology
Abstract: Nutrigenomics investigates relationships between nutrients and all genome-encoded molecular entities. This holistic approach requires systems biology to scrutinize the effects of diet on tissue biology. To decipher the adipose tissue (AT) response to diet induced weight changes we focused on key molecular (lipids and transcripts) AT species during a longitudinal dietary intervention. To obtain a systems model, a network approach was used to combine all sets of variables (bio-clinical, fatty acids and mRNA levels) and get an overview of their interactions. AT fatty acids and mRNA levels were quantified in 135 obese women at baseline, after an 8-week low calorie diet (LCD) and after 6 months of ad libitum weight maintenance diet (WMD). After LCD, individuals were stratified a posteriori according to weight change during WMD. A 3 steps approach was used to infer a global model involving the 3 sets of variables. It consisted in inferring intra-omic networks with sparse partial correlations and inter-omic networks with regularized canonical correlation analysis and finally combining the obtained omic-specific network in a single global model. The resulting networks were analyzed using node clustering, systematic important node extraction and cluster comparisons. Overall, AT showed both constant and phase-specific biological signatures in response to dietary intervention. AT from women regaining weight displayed growth factors, angiogenesis and proliferation signaling signatures, suggesting unfavorable tissue hyperplasia. By contrast, after LCD a strong positive relationship between AT myristoleic acid (a fatty acid with low AT level) content and de novo lipogenesis mRNAs was found. This relationship was also observed, after WMD, in the group of women that continued to lose weight. This original system biology approach provides novel insight in the AT response to weight control by highlighting the central role of myristoleic acid that may account for the beneficial effects of weight loss.
Published: 2015
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3. Weight loss maintenance in overweight subjects on ad libitum diets with high or low protein content and glycemic index: the DIOGENES trial 12-month results.

Author: Aller EE, Larsen TM, Claus H, Lindroos AK, Kafatos A, Pfeiffer A, Martinez JA, Handjieva-Darlenska T, Kunesova M, Stender S, Saris WH, Astrup A, and van Baak MA
Subjects: Adult, Body Mass Index, Body Weight, Caloric Restriction, Diet, Protein-Restricted, Dietary Carbohydrates administration & dosage, Energy Intake, Europe epidemiology, Family, Female, Glucose Tolerance Test, Humans, Male, Nutrition Surveys, Obesity prevention & control, Patient Compliance, Time Factors, Waist Circumference, Diet, Reducing, Dietary Proteins administration & dosage, Glycemic Index, Obesity therapy, Weight Gain, Weight Loss, White People
Abstract: Background: A high dietary protein (P) content and low glycemic index (LGI) have been suggested to be beneficial for weight management, but long-term studies are scarce., Objective: The DIOGENES randomized clinical trial investigated the effect of P and GI on weight loss maintenance in overweight or obese adults in eight centers across Europe. This study reports the 1-year results in two of the centers that extended the intervention to 1 year., Method: After an 8-week low-calorie diet (LCD), 256 adults (body mass index >27 kg m(-)(2)) were randomized to five ad libitum diets for 12 months: high P/LGI (HP/LGI), HP/high GI (HP/HGI), low P/LGI (LP/LGI), LP/HGI and a control diet. During the first 6 months, foods were provided for free through a shop system and during the whole 12-month period, subjects received guidance by a dietician. Primary outcome variable was the change in body weight over the 12-month intervention period., Results: During the LCD period, subjects lost 11.2 (10.8, 12.0) kg (mean (95% confidence interval (CI))). Average weight regain over the 12-month intervention period was 3.9 (95% CI 3.0-4.8) kg. Subjects on the HP diets regained less weight than subjects on the LP diets. The difference in weight regain after 1 year was 2.0 (0.4, 3.6) kg (P=0.017) (completers analysis, N=139) or 2.8 (1.4, 4.1) kg (P<0.001) (intention-to-treat analysis, N=256). No consistent effect of GI on weight regain was found. There were no clinically relevant differences in changes in cardiometabolic risk factors among diet groups., Conclusion: A higher protein content of an ad libitum diet improves weight loss maintenance in overweight and obese adults over 12 months.
Published: 2014
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4. WHO European Childhood Obesity Surveillance Initiative 2008: weight, height and body mass index in 6-9-year-old children.

Author: Wijnhoven TM, van Raaij JM, Spinelli A, Rito AI, Hovengen R, Kunesova M, Starc G, Rutter H, Sjöberg A, Petrauskiene A, O'Dwyer U, Petrova S, Farrugia Sant'angelo V, Wauters M, Yngve A, Rubana IM, and Breda J
Subjects: Analysis of Variance, Body Height, Body Mass Index, Body Weight, Child, Europe epidemiology, Female, Humans, Longitudinal Studies, Male, Nutritional Status, Obesity prevention & control, Prevalence, School Health Services organization & administration, Sex Distribution, Socioeconomic Factors, World Health Organization, Obesity epidemiology, Population Surveillance, School Health Services statistics & numerical data
Abstract: Unlabelled: What is already known about this subject Overweight and obesity prevalence estimates among children based on International Obesity Task Force definitions are substantially lower than estimates based on World Health Organization definitions. Presence of a north-south gradient with the highest level of overweight found in southern European countries. Intercountry comparisons of overweight and obesity in primary-school children in Europe based on measured data lack a similar data collection protocol. What this study adds Unique dataset on overweight and obesity based on measured weights and heights in 6-9-year-old children from 12 European countries using a harmonized surveillance methodology. Because of the use of a consistent data collection protocol, it is possible to perform valid multiple comparisons between countries. It demonstrates wide variations in overweight and obesity prevalence estimates among primary-school children between European countries and regions., Background: Nutritional surveillance in school-age children, using measured weight and height, is not common in the European Region of the World Health Organization (WHO). The WHO Regional Office for Europe has therefore initiated the WHO European Childhood Obesity Surveillance Initiative., Objective: To present the anthropometric results of data collected in 2007/2008 and to investigate whether there exist differences across countries and between the sexes., Methods: Weight and height were measured in 6-9-year-old children in 12 countries. Prevalence of overweight, obesity, stunting, thinness and underweight as well as mean Z-scores of anthropometric indices of height, weight and body mass index were calculated., Results: A total of 168 832 children were included in the analyses and a school participation rate of more than 95% was obtained in 8 out of 12 countries. Stunting, underweight and thinness were rarely prevalent. However, 19.3-49.0% of boys and 18.4-42.5% of girls were overweight (including obesity and based on the 2007 WHO growth reference).The prevalence of obesity ranged from 6.0 to 26.6% among boys and from 4.6 to 17.3% among girls. Multi-country comparisons suggest the presence of a north-south gradient with the highest level of overweight found in southern European countries., Conclusions: Overweight among 6-9-year-old children is a serious public health concern and its variation across the European Region highly depends on the country. Comparable monitoring of child growth is possible across Europe and should be emphasized in national policies and implemented as part of action plans., (© 2012 World Health Organization. Pediatric Obesity © 2012 International Association for the Study of Obesity.)
Published: 2013
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5. Circulating ACE is a predictor of weight loss maintenance not only in overweight and obese women, but also in men.

Author: Wang P, Holst C, Wodzig WK, Andersen MR, Astrup A, van Baak MA, Larsen TM, Jebb SA, Kafatos A, Pfeiffer AF, Martinez JA, Handjieva-Darlenska T, Kunesova M, Viguerie N, Langin D, Saris WH, and Mariman EC
Subjects: Adult, Biomarkers blood, Cross-Sectional Studies, Diet, Reducing, Energy Intake, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Sex Distribution, Weight Gain, Obesity blood, Peptidyl-Dipeptidase A blood, Weight Loss
Abstract: Background: Circulating angiotensin-converting enzyme (ACE) was identified as a predictor of weight loss maintenance in overweight/obese women of the Diogenes project., Objective: To investigate whether ACE acted also as a predictor in men of the Diogenes study and to compare it with that in women., Design: Subjects, who lost ≥ 8% of body weight induced by low-caloric diet in an 8-week weight loss period, were assigned to weight loss maintenance with dietary intervention for 6 months., Subjects: 125 overweight/obese healthy men from eight European countries who completed whole intervention., Measurements: Concentrations and activity of serum ACE at baseline and after the 8-week weight loss, in addition to anthropometric and physiological parameters., Results: Serum ACE concentration decreased by 11.3 ± 10.6% during the weight loss period in men. A greater reduction is associated with less body weight regain during the maintenance period (r=0.227, P=0.012). ACE change was able to predict a weight regain ≤ 20% after 6 months, with an odds ratio of 1.59 (95% confidence interval (CI): 1.09-2.33, P=0.016) for every 10% reduction, which was independent of body mass index and weight loss. The prediction power was weaker in men than in women, but without a significant sex difference (P=0.137). In pooled subjects (N=218), the odds ratio was 1.96 (95% CI: 1.46-2.64, P<0.001)., Conclusions: A greater reduction of ACE during weight loss is favorable for weight maintenance in both men and women. This can offer useful information for personalized advice to improve weight loss maintenance. It also confirms the role of ACE in the metabolic pathways of weight regulation.
Published: 2012
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6. Safety, tolerability and sustained weight loss over 2 years with the once-daily human GLP-1 analog, liraglutide.

Author: Astrup A, Carraro R, Finer N, Harper A, Kunesova M, Lean ME, Niskanen L, Rasmussen MF, Rissanen A, Rössner S, Savolainen MJ, and Van Gaal L
Subjects: Adolescent, Adult, Aged, Analysis of Variance, Double-Blind Method, Drug Administration Schedule, Europe epidemiology, Exercise Therapy methods, Female, Glucagon-Like Peptide 1 therapeutic use, Humans, Liraglutide, Male, Middle Aged, Obesity diet therapy, Obesity epidemiology, Obesity prevention & control, Prediabetic State diet therapy, Prediabetic State epidemiology, Prediabetic State prevention & control, Risk Reduction Behavior, Treatment Outcome, Young Adult, Anti-Obesity Agents therapeutic use, Glucagon-Like Peptide 1 analogs & derivatives, Obesity drug therapy, Prediabetic State drug therapy, Weight Loss drug effects
Abstract: Objective: Having demonstrated short-term weight loss with liraglutide in this group of obese adults, we now evaluate safety/tolerability (primary outcome) and long-term efficacy for sustaining weight loss (secondary outcome) over 2 years., Design: A randomized, double-blind, placebo-controlled 20-week study with 2-year extension (sponsor unblinded at 20 weeks, participants/investigators at 1 year) in 19 European clinical research centers., Subjects: A total of 564 adults (n=90-98 per group; body mass index 30-40 kg m(-2)) enrolled, 398 entered the extension and 268 completed the 2-year trial. Participants received diet (500 kcal deficit per day) and exercise counseling during 2-week run-in, before being randomly assigned (with a telephone or web-based system) to once-daily subcutaneous liraglutide (1.2, 1.8, 2.4 or 3.0 mg, n=90-95), placebo (n=98) or open-label orlistat (120 mg × 3, n=95). After 1 year, liraglutide/placebo recipients switched to liraglutide 2.4 mg, then 3.0 mg (based on 20-week and 1-year results, respectively). The trial ran from January 2007-April 2009 and is registered with Clinicaltrials.gov, number NCT00480909., Results: From randomization to year 1, liraglutide 3.0 mg recipients lost 5.8 kg (95% confidence interval 3.7-8.0) more weight than those on placebo and 3.8 kg (1.6-6.0) more than those on orlistat (P0.0001; intention-to-treat, last-observation-carried-forward). At year 2, participants on liraglutide 2.4/3.0 mg for the full 2 years (pooled group, n=184) lost 3.0 kg (1.3-4.7) more weight than those on orlistat (n=95; P<0.001). Completers on liraglutide 2.4/3.0 mg (n=92) maintained a 2-year weight loss of 7.8 kg from screening. With liraglutide 3.0 mg, 20-week body fat decreased by 15.4% and lean tissue by 2.0%. The most frequent drug-related side effects were mild to moderate, transient nausea and vomiting. With liraglutide 2.4/3.0 mg, the 2-year prevalence of prediabetes and metabolic syndrome decreased by 52 and 59%, with improvements in blood pressure and lipids., Conclusion: Liraglutide is well tolerated, sustains weight loss over 2 years and improves cardiovascular risk factors.
Published: 2012
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7. Analyses of single nucleotide polymorphisms in selected nutrient-sensitive genes in weight-regain prevention: the DIOGENES study.

Author: Larsen LH, Angquist L, Vimaleswaran KS, Hager J, Viguerie N, Loos RJ, Handjieva-Darlenska T, Jebb SA, Kunesova M, Larsen TM, Martinez JA, Papadaki A, Pfeiffer AF, van Baak MA, Sørensen TIa, Holst C, Langin D, Astrup A, and Saris WH
Subjects: Adult, Body Mass Index, Caloric Restriction methods, DNA genetics, DNA isolation & purification, Dietary Proteins administration & dosage, Female, Genetic Loci, Genotype, Glycemic Index genetics, Humans, Male, Middle Aged, Obesity genetics, Waist Circumference, Weight Loss genetics, Feeding Behavior, Obesity prevention & control, Polymorphism, Single Nucleotide genetics, Weight Gain genetics
Abstract: Background: Differences in the interindividual response to dietary intervention could be modified by genetic variation in nutrient-sensitive genes., Objective: This study examined single nucleotide polymorphisms (SNPs) in presumed nutrient-sensitive candidate genes for obesity and obesity-related diseases for main and dietary interaction effects on weight, waist circumference, and fat mass regain over 6 mo., Design: In total, 742 participants who had lost ≥ 8% of their initial body weight were randomly assigned to follow 1 of 5 different ad libitum diets with different glycemic indexes and contents of dietary protein. The SNP main and SNP-diet interaction effects were analyzed by using linear regression models, corrected for multiple testing by using Bonferroni correction and evaluated by using quantile-quantile (Q-Q) plots., Results: After correction for multiple testing, none of the SNPs were significantly associated with weight, waist circumference, or fat mass regain. Q-Q plots showed that ALOX5AP rs4769873 showed a higher observed than predicted P value for the association with less waist circumference regain over 6 mo (-3.1 cm/allele; 95% CI: -4.6, -1.6; P/Bonferroni-corrected P = 0.000039/0.076), independently of diet. Additional associations were identified by using Q-Q plots for SNPs in ALOX5AP, TNF, and KCNJ11 for main effects; in LPL and TUB for glycemic index interaction effects on waist circumference regain; in GHRL, CCK, MLXIPL, and LEPR on weight; in PPARC1A, PCK2, ALOX5AP, PYY, and ADRB3 on waist circumference; and in PPARD, FABP1, PLAUR, and LPIN1 on fat mass regain for dietary protein interaction., Conclusion: The observed effects of SNP-diet interactions on weight, waist, and fat mass regain suggest that genetic variation in nutrient-sensitive genes can modify the response to diet. This trial was registered at clinicaltrials.gov as NCT00390637.
Published: 2012
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8. TFAP2B influences the effect of dietary fat on weight loss under energy restriction.

Author: Stocks T, Angquist L, Banasik K, Harder MN, Taylor MA, Hager J, Arner P, Oppert JM, Martinez JA, Polak J, Rousseau F, Langin D, Rössner S, Holst C, MacDonald IA, Kamatani Y, Pfeiffer AF, Kunesova M, Saris WH, Hansen T, Pedersen O, Astrup A, and Sørensen TI
Subjects: Adult, Anthropometry, Body Mass Index, Dietary Fats, Energy Intake, Energy Metabolism, Female, Gene Frequency, Genotype, Humans, Male, Middle Aged, Obesity metabolism, Research Design, Transcription Factor AP-2 genetics, Waist Circumference, Obesity genetics, Polymorphism, Single Nucleotide, Transcription Factor AP-2 physiology, Weight Loss genetics
Abstract: Background: Numerous gene loci are related to single measures of body weight and shape. We investigated if 55 SNPs previously associated with BMI or waist measures, modify the effects of fat intake on weight loss and waist reduction under energy restriction., Methods and Findings: Randomized controlled trial of 771 obese adults. (, Registration: ISRCTN25867281.) One SNP was selected for replication in another weight loss intervention study of 934 obese adults. The original trial was a 10-week 600 kcal/d energy-deficient diet with energy percentage from fat (fat%) in range of 20-25 or 40-45. The replication study used an 8-weeks diet of 880 kcal/d and 20 fat%; change in fat% intake was used for estimation of interaction effects. The main outcomes were intervention weight loss and waist reduction. In the trial, mean change in fat% intake was -12/+4 in the low/high-fat groups. In the replication study, it was -23/-12 among those reducing fat% more/less than the median. TFAP2B-rs987237 genotype AA was associated with 1.0 kg (95% CI, 0.4; 1.6) greater weight loss on the low-fat, and GG genotype with 2.6 kg (1.1; 4.1) greater weight loss on the high-fat (interaction p-value; p = 0.00007). The replication study showed a similar (non-significant) interaction pattern. Waist reduction results generally were similar. Study-strengths include (i) the discovery study randomised trial design combined with the replication opportunity (ii) the strict dietary intake control in both studies (iii) the large sample sizes of both studies. Limitations are (i) the low minor allele frequency of the TFAP2B polymorphism, making it hard to investigate non-additive genetic effects (ii) the different interventions preventing identical replication-discovery study designs (iii) some missing data for non-completers and dietary intake. No adverse effects/outcomes or side-effects were observed., Conclusions: Under energy restriction, TFAP2B may modify the effect of dietary fat intake on weight loss and waist reduction.
Published: 2012
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9. Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

Author: Wang P, Holst C, Andersen MR, Astrup A, Bouwman FG, van Otterdijk S, Wodzig WK, van Baak MA, Larsen TM, Jebb SA, Kafatos A, Pfeiffer AF, Martinez JA, Handjieva-Darlenska T, Kunesova M, Saris WH, and Mariman EC
Subjects: Adult, Blood Proteins metabolism, Body Weight physiology, Caloric Restriction, Diet, Reducing, Dietary Proteins blood, Female, Gonadal Steroid Hormones analysis, Gonadal Steroid Hormones metabolism, Humans, Male, Metabolome, Middle Aged, Obesity blood, Obesity diet therapy, Prognosis, Blood Proteins analysis, Dietary Proteins pharmacokinetics, Glycemic Index physiology, Gonadal Steroid Hormones blood, Obesity diagnosis, Weight Loss physiology
Abstract: Background: Weight regain after weight loss is common. In the Diogenes dietary intervention study, high protein and low glycemic index (GI) diet improved weight maintenance., Objective: To identify blood predictors for weight change after weight loss following the dietary intervention within the Diogenes study., Design: Blood samples were collected at baseline and after 8-week low caloric diet-induced weight loss from 48 women who continued to lose weight and 48 women who regained weight during subsequent 6-month dietary intervention period with 4 diets varying in protein and GI levels. Thirty-one proteins and 3 steroid hormones were measured., Results: Angiotensin I converting enzyme (ACE) was the most important predictor. Its greater reduction during the 8-week weight loss was related to continued weight loss during the subsequent 6 months, identified by both Logistic Regression and Random Forests analyses. The prediction power of ACE was influenced by immunoproteins, particularly fibrinogen. Leptin, luteinizing hormone and some immunoproteins showed interactions with dietary protein level, while interleukin 8 showed interaction with GI level on the prediction of weight maintenance. A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%., Conclusions: A selected panel of blood proteins/steroids can predict the weight change after weight loss. ACE may play an important role in weight maintenance. The interactions of blood factors with dietary components are important for personalized dietary advice after weight loss., Registration: ClinicalTrials.gov NCT00390637.
Published: 2011
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10. Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks: the Diogenes study.

Author: Handjieva-Darlenska T, Handjiev S, Larsen TM, van Baak MA, Jebb S, Papadaki A, Pfeiffer AF, Martinez JA, Kunesova M, Holst C, Saris WH, and Astrup A
Subjects: Adult, Body Weight physiology, Caloric Restriction, Female, Humans, Male, Predictive Value of Tests, Reference Values, Sex Factors, Time Factors, Treatment Outcome, Diet, Reducing, Obesity diet therapy, Overweight diet therapy, Weight Loss physiology
Abstract: Objective: The purpose of this study was to investigate whether pre-treatment subject characteristics and weight change during the first weeks of a low-calorie diet (LCD) can predict weight loss outcomes at the end of a controlled 8-week weight loss period in overweight and obese adults., Subjects: A total of 932 overweight and obese subjects of both genders were included at eight European centers, and underwent an 8-week LCD period., Results: The weight loss at week 8 was positively correlated with initial body weight (Spearman's rho=0.62), height (rho=0.43), body mass index (rho=0.43), waist (rho=0.48) and hip circumference (rho=0.33), sagittal diameter (rho=0.45), fat mass (rho=0.35) and fat-free mass (rho=0.52), and gender (rho=-0.36) (all P<0.01). In the multivariate regression model, adjusted for center, only initial body weight, early weight loss (week 1) and weight loss at week 3 were significant predictors of weight loss outcome at week 8: weight loss (kg) at week 8=0.09+0.046 x baseline body weight (kg)-0.311 x weight loss (kg) at week 1+1.284 x weight loss (kg) at week 3 (R(2)=68%, P<0.0001). A weight loss of > or =2.6 kg at week 1 during the LCD period was identified as the optimal cut-off predictor for at least 10 kg weight loss at week 8., Conclusions: This study suggests that initial body weight, early weight loss (week 1) and weight loss at week 3 are predictors of final weight loss during an 8-week LCD, and may be used as early biomarkers of subsequent responses to an LCD diet.
Published: 2010
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11. The Eating Inventory, body adiposity and prevalence of diseases in a quota sample of Czech adults.

Author: Hainer V, Kunesova M, Bellisle F, Parizkova J, Braunerova R, Wagenknecht M, Lajka J, Hill M, and Stunkard A
Subjects: Adult, Body Composition, Body Mass Index, Czech Republic, Diabetes Mellitus psychology, Female, Humans, Hyperlipidemias psychology, Hypertension psychology, Logistic Models, Male, Metabolic Syndrome psychology, Middle Aged, Motivation, Prevalence, Surveys and Questionnaires, Feeding Behavior, Inhibition, Psychological, Obesity psychology
Abstract: Objective: To study the relationships between the Eating Inventory (EI) factors (restraint, disinhibition and hunger), body adiposity and prevalence of selected diseases in a quota sample of Czech adults., Subjects and Methods: The sample included 1429 men and 1624 women who were interviewed individually by trained investigators. The sample was quota representative--for gender, age, size of residential location, region and socioeconomic status in Czech adults. Anthropometric data, socioeconomic and lifestyle information were obtained. Subjects filled out the EI questionnaire. Physicians reported about subjects' morbidity., Results: Backward stepwise regression analysis revealed that restraint and disinhibition were significant predictors of body mass index (BMI) along with gender, age, parental obesity, weight loss attempts, present dieting and educational level. The same factors plus income predicted the waist circumference. BMI and waist circumference were negatively related to restraint but positively to disinhibition. According to logistic regression analysis restraint and disinhibition were significantly associated with hypertension, cardiovascular diseases and hyperlipidaemia. Diabetes was significantly related to restraint and hunger scores. The observed association between EI factors and diseases remained significant even when BMI and age were taken into account., Conclusion: As shown in earlier studies, disinhibition was positively and restraint negatively associated with BMI and waist circumference. For the first time, factors of the EI were also identified as significant predictors of diseases characterizing the metabolic syndrome.
Published: 2006
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12. Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine.

Author: Hainer V, Kunesova M, Bellisle F, Hill M, Braunerova R, and Wagenknecht M
Subjects: Adolescent, Adult, Aged, Body Mass Index, Cognitive Behavioral Therapy, Combined Modality Therapy, Depression complications, Diet, Reducing, Double-Blind Method, Female, Humans, Internal-External Control, Middle Aged, Nutritional Physiological Phenomena, Obesity psychology, Obesity therapy, Patient Compliance, Prognosis, Regression Analysis, Treatment Outcome, Appetite Depressants therapeutic use, Cyclobutanes therapeutic use, Obesity drug therapy, Weight Loss
Abstract: Objective: To reveal whether baseline body mass index (BMI), and psychobehavioral and nutritional markers were significant predictors of the change in BMI observed after 4 and 12 months in obese women enrolled in a weight reduction program, including low-energy diet, increased physical activity, cognitive behavior therapy and sibutramine. The impact of changes in psychobehavioral and nutritional markers observed after 4 and 12 months of treatment on BMI changes was also investigated., Design: During a double-blind placebo-controlled 4-month period, subjects received either sibutramine (10 mg/day) or placebo. Then, an open phase with sibutramine administered to all patients continued until month 12., Subjects: In total, 80 obese women (age: 43.9+/-10.6 y, BMI: 36.7+/-4.8 kg/m(2))., Measurements: The dependent variable was change in BMI while baseline BMI, mode of treatment, the Beck depression score, the three items (dietary restraint, disinhibition and perceived hunger) of the Eating Inventory (EI), energy and macronutrient intakes were independent variables. At 1-week dietary records were analyzed using a computer software for assessing energy and macronutrient intake., Results: Multiple regression analysis revealed that the BMI loss at month 4 was significantly influenced by mode of treatment and initial BMI, whereas a borderline negative relationship was observed with the baseline restraint score. Baseline BMI, depression score, restraint score and total energy intake predicted weight loss at month 12. These predictive variables accounted for 43.8% of the variance in BMI loss at 12 months. When relationships between the BMI loss and changes in all included psychobehavioral and nutritional parameters were considered after 12 months of treatment, a drop in the disinhibition score of the EI appeared the only significant factor affecting the BMI decrease., Conclusions: Our results suggest that psychobehavioral and nutritional characteristics can be used as predictors of weight loss in response to a comprehensive weight management program including pharmacological treatment with sibutramine.
Published: 2005
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13. Adipose tissue lipolysis and hormone-sensitive lipase expression during very-low-calorie diet in obese female identical twins.

Author: Stich V, Harant I, De Glisezinski I, Crampes F, Berlan M, Kunesova M, Hainer V, Dauzats M, Rivière D, Garrigues M, Holm C, Lafontan M, and Langin D
Subjects: Adrenergic Agents pharmacology, Adrenergic beta-Agonists pharmacology, Adult, Energy Intake, Epinephrine pharmacology, Female, Humans, Isoproterenol pharmacology, Middle Aged, Obesity diet therapy, Adipose Tissue metabolism, Diet, Reducing, Lipolysis, Obesity metabolism, Sterol Esterase metabolism, Twins, Monozygotic
Abstract: Eight pairs of obese female monozygotic twins were subjected to a 4-week, very-low-calorie diet (VLCD) that induced a decrease in mean body mass index from 32.9 +/- 1.1 to 29.7 +/- 1.1 kg/m2. Infusion of the beta-adrenergic agonist, isoproterenol, induced an increase in plasma levels of nonesterified fatty acids and glycerol that was more pronounced during than before VLCD. sc fat biopsies were obtained before and during VLCD to study adipocyte lipolysis. beta-adrenergic sensitivity was moderately improved during VLCD. Basal and stimulated lipolyses, and hormone-sensitive lipase activity and protein levels were increased during VLCD. Before VLCD, intrapair resemblance was found for basal and stimulated lipolysis rates. In response to the treatment, intrapair resemblance was observed for basal lipolysis and for lipolysis stimulated with agents acting on plasma membrane receptors. These results suggest that the increase of basal lipolysis during VLCD is caused by an increase of hormone-sensitive lipase expression. They support the notion that the genotype may play a role in regulating the changes of adipose tissue lipolysis rates observed during VLCD.
Published: 1997
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14. In vivo increase in beta-adrenergic lipolytic response in subcutaneous adipose tissue of obese subjects submitted to a hypocaloric diet.

Author: Barbe P, Stich V, Galitzky J, Kunesova M, Hainer V, Lafontan M, and Berlan M
Subjects: Adrenergic beta-Agonists, Adult, Dobutamine, Female, Glycerol metabolism, Humans, Isoproterenol, Kinetics, Male, Middle Aged, Obesity diet therapy, Propanolamines, Adipose Tissue metabolism, Diet, Reducing, Energy Intake, Lipolysis physiology, Obesity metabolism, Receptors, Adrenergic, beta physiology
Abstract: The effects of 28 days of a very low calorie diet (382 Cal/day)) on the beta-adrenergic lipolytic response and nutritive blood flow in sc adipose tissue were investigated in vivo using the microdialysis technique in 24 obese subjects. The diet did not modify the extracellular glycerol concentrations, but increased the local nutritive blood flow (measured by the ethanol escape method). The lipolytic response and the vasodilating effect of increasing concentrations of isoprenaline (from 0.001-10 mumol/L) added to the perfusate were enhanced after 28 days of diet. Before the diet, equimolar concentrations (100 mumol/L) of dobutamine [selective beta 1-adrenoceptor (beta 1-AR) agonist], terbutaline (selective beta 2-AR agonist), and CGP 12,177 (selective beta 3-AR agonist) increased glycerol concentration in adipose tissue. The lipolytic effect of terbutaline was the greatest, and the effect of CGP 12,177 was the least marked. After 28 days of the diet, the effects of terbutaline and CGP 12,177 were not modified, whereas the effect of dobutamine was increased and reached the effect of terbutaline. The three agonists increased nutritive blood flow; this effect was not modified during the diet. In summary, this study demonstrates an increase in the in vivo lipolytic responses to isoprenaline and dobutamine during the hypocaloric diet. Furthermore, functional beta 3-AR are present in the sc adipose tissue of obese patients; however, their activation is only weakly involved in the lipolytic process in this population and is not modified by the hypocaloric diet.
Published: 1997
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15. Obesity of Czech children and adolescents: relation to parental obesity and socioeconomic factors

Author: Kunesova, M., Vignerova, J., Steflová, A., Parízkova, J., Lajka, J., Hainer, V., Blaha, P., Hlavaty, P., Kalouskova, P., Hlavata, K., and Wagenknecht, M.
Published: 2007
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16. System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance

Author: Montastier, E., Villa-Vialaneix, N., Caspar-Bauguil, S., Hlavaty, P., Tvrzicka, E., Gonzalez, I., Saris, W., Langin, D., Kunesova, M., Viguerie, N., Laboratoire de recherche sur les obésités (Equipe 4), Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Departments of Clinical Biochemistry and Nutrition [Toulouse], CHU Toulouse [Toulouse], Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM), Université Paris 1 Panthéon-Sorbonne (UP1), Obesity Management Centre [Prague, République tchèque], Institute of Endocrinology [Prague, République tchèque], Fourth Department of Internal Medicine [Prague, République tchèque], First Medical School [Prague, République tchèque], Charles University [Prague] (CU)-Charles University [Prague] (CU), Department of Human Biology [Maastricht, Pays-Bas], NUTRIM School for Nutrition, Toxicology and Metabolism [Maastricht, Pays-Bas], Maastricht University Medical Centre [Maastricht, Pays-Bas] (MUMC)-Maastricht University Medical Centre [Maastricht, Pays-Bas] (MUMC), The study was supported by funding from the European Communities (DiOGenes, FP6-513946, MolPAGE, LSHG-CT-2004-512066 and ADAPT, HEALTH-F2-2008-2011 00), Fondation pour la Recherche Médicale, Agence Nationale de la Recherche (LIPOB and OBELIP), Région Midi-Pyrénées (to DL), IGA MZCR NT12342-5/2011, NT13735-4 and MZ00023761 Czech Republic Ministry of Health (to MK)., ANR-09-GENO-0018,LIPOB,Lipolyse et inflammation du tissu adipeux dans l'obésité(2009), ANR-12-BSV1-0025,ObeLip,Une nouvelle stratégie thérapeutique pour combattre les complications métaboliques de l'obésité : l'inhibition de la lipolyse adipocytaire(2012), European Project: 28823,MOLPAGE, Bodescot, Myriam, Physiopathologie moléculaire: des maladies rares aux maladies communes - Lipolyse et inflammation du tissu adipeux dans l'obésité - - LIPOB2009 - ANR-09-GENO-0018 - GENO - VALID, BLANC - Une nouvelle stratégie thérapeutique pour combattre les complications métaboliques de l'obésité : l'inhibition de la lipolyse adipocytaire - - ObeLip2012 - ANR-12-BSV1-0025 - BLANC - VALID, Molecular Phenotyping to Accelerate Genomic Epidemiology - MOLPAGE - 28823 - OLD, Service Endocrinologie, maladies métaboliques et nutrition [CHU Toulouse], Pôle Cardiovasculaire et Métabolique [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université Panthéon-Sorbonne (UP1), Charles University [Prague]-Charles University [Prague], Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), RS: NUTRIM - HB/BW section A, RS: NUTRIM - R1 - Metabolic Syndrome, and Humane Biologie
Subjects: Adult, QH301-705.5, Biotechnologies, METABOLISM, Young Adult, INFLAMMATION, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Weight Loss, Humans, Gene Regulatory Networks, Obesity, Biology (General), DE-NOVO LIPOGENESIS, GENE-EXPRESSION, Caloric Restriction, INSULIN-RESISTANCE, Gene Expression Profiling, Middle Aged, ADIPOCYTES, Santé publique et épidémiologie, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Adipose Tissue, ACID, Applications, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Female, SENSITIVITY, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, OBESE SUBJECTS, TRIGLYCERIDES, Research Article
Abstract: Nutrigenomics investigates relationships between nutrients and all genome-encoded molecular entities. This holistic approach requires systems biology to scrutinize the effects of diet on tissue biology. To decipher the adipose tissue (AT) response to diet induced weight changes we focused on key molecular (lipids and transcripts) AT species during a longitudinal dietary intervention. To obtain a systems model, a network approach was used to combine all sets of variables (bio-clinical, fatty acids and mRNA levels) and get an overview of their interactions. AT fatty acids and mRNA levels were quantified in 135 obese women at baseline, after an 8-week low calorie diet (LCD) and after 6 months of ad libitum weight maintenance diet (WMD). After LCD, individuals were stratified a posteriori according to weight change during WMD. A 3 steps approach was used to infer a global model involving the 3 sets of variables. It consisted in inferring intra-omic networks with sparse partial correlations and inter-omic networks with regularized canonical correlation analysis and finally combining the obtained omic-specific network in a single global model. The resulting networks were analyzed using node clustering, systematic important node extraction and cluster comparisons. Overall, AT showed both constant and phase-specific biological signatures in response to dietary intervention. AT from women regaining weight displayed growth factors, angiogenesis and proliferation signaling signatures, suggesting unfavorable tissue hyperplasia. By contrast, after LCD a strong positive relationship between AT myristoleic acid (a fatty acid with low AT level) content and de novo lipogenesis mRNAs was found. This relationship was also observed, after WMD, in the group of women that continued to lose weight. This original system biology approach provides novel insight in the AT response to weight control by highlighting the central role of myristoleic acid that may account for the beneficial effects of weight loss., Author Summary Obesity is an excess fat mass leading to metabolic diseases. Dietary management is a conventional strategy to promote weight loss. As energy buffering, in the form of esterified fatty acids, and secretory organ, the adipose tissue has a pivotal role in obesity and its related complications. A comprehensive insight of adipose tissue response during and after calorie restriction might improve obesity management. Modern nutrition research study the impact of diet on health by combining multiple datasets to provide an holistic view of tissue physiopathology. To identify significant clusters of fatty acids, transcripts or bio-clinical parameters related to weight change along calorie restriction and subsequent weight follow-up in obese individuals, the issue of different datasets integration must be resolved. Here, we implemented an innovative multistep approach to infer multi-data networks and compare clusters of network components. This original strategy highlighted an unexpected central role of a minor adipose tissue fatty acid, myristoleic acid, which is not provided by food. Its link to transcripts encoding enzymes from a pathway converting glucose into fat that mediates favorable metabolic effects makes myristoleic acid a key factor of the positive impact of fat mass reduction.
Published: 2015
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17. WHO European Childhood Obesity Surveillance Initiative 2008: weight, height and body mass index in 6–9-year-old children

Author: Wijnhoven, T.M.A., van Raaij, J.M.A., Spinelli, A, Rito, A.I., Hovengen, R., Kunesova, M., Starc, G., Rutter, H, Sjoberg, A, Petrauskiene, A., O'Dwyer, U., Petrova, S., Farrugia Sant'Angelo, V., Wauters, M, Yngve, A., Rubana, I.M., and Breda, J
Subjects: Schoolchildren, Obesity, COSI, Overweight, Estilos de Vida e Impacto na Saúde
Abstract: Background: Nutritional surveillance in school-age children, using measured weight and height, is not common in the European Region of the World Health Organization (WHO). The WHO Regional Office for Europe has therefore initiated the WHO European Childhood Obesity Surveillance Initiative. Objective: To present the anthropometric results of data collected in 2007/2008 and to investigate whether there exist differences across countries and between the sexes. Methods: Weight and height were measured in 6–9-year-old children in 12 countries. Prevalence of overweight, obesity, stunting, thinness and underweight as well as mean Z-scores of anthropometric indices of height, weight and body mass index were calculated. Results: A total of 168 832 children were included in the analyses and a school participation rate of more than 95% was obtained in 8 out of 12 countries. Stunting, underweight and thinness were rarely prevalent. However, 19.3-49.0% of boys and 18.4-42.5% of girls were overweight (including obesity and based on the 2007 WHO growth reference).The prevalence of obesity ranged from 6.0 to 26.6% among boys and from 4.6 to 17.3% among girls. Multi-country comparisons suggest the presence of a north–south gradient with the highest level of overweight found in southern European countries. Conclusions: Overweight among 6–9-year-old children is a serious public health concern and its variation across the European Region highly depends on the country. Comparable monitoring of child growth is possible across Europe and should be emphasized in national policies and implemented as part of action plans.
Published: 2012

18. Short-term very low calorie diet reduces oxidative stress in obese type 2 diabetic patients

Author: Skrha, J., Kunesova, M., Hilgertova, J., Weiserova, H., Krizova, J., and Eva Kotrlikova
Subjects: Adult, Male, Physiology, Superoxide Dismutase, alpha-Tocopherol, Pilot Projects, General Medicine, Ascorbic Acid, Middle Aged, Oxidative Stress, Diabetes Mellitus, Type 2, Malondialdehyde, Humans, Female, Obesity, Biomarkers, Aged, Caloric Restriction
Abstract: Oxidative stress is higher in obese diabetic than in non-diabetic subjects. This pilot study evaluates oxidative stress during short-term administration of a very low calorie diet in obese persons. Nine obese Type 2 diabetic patients (age 55+/-5 years, BMI 35.9+/-1.9 kg/m2) and nine obese non-diabetic control subjects (age 52+/-6 years, BMI 37.3+/-2.1 kg/m2) were treated by a very low calorie diet (600 kcal daily) during 8 days stay in the hospital. Serum cholesterol, triglycerides, non-esterified fatty acids (NEFA), beta-hydroxybutyrate (B-HB), ascorbic acid (AA), alpha-tocopherol (AT), plasma malondialdehyde (MDA) and superoxide dismutase (SOD) activity in erythrocytes were measured before and on day 3 and 8 of very low calorie diet administration. A decrease of serum cholesterol and triglyceride concentrations on day 8 was associated with a significant increase of NEFA (0.30+/-0.13 vs. 0.47+/-0.11 micromol/l, p
Published: 2005

19. Association of Plasma Lipids Fatty Acid Composition With Metabolic Profile of Czech Adolescents.

Author: HLAVATY, P., TVRZICKA, E., STANKOVA, B., ZAMRAZILOVA, H., SEDLACKOVA, B., DUSATKOVA, L., HAINER, V., and KUNESOVA, M.
Subjects: BLOOD plasma, BLOOD lipids, FATTY acids, CZECHS, RISK of childhood obesity, METABOLIC disorders, DISEASES
Abstract: Obesity in childhood increases the risk of obesity in adulthood and is predictive for the development of metabolic disorders. The fatty acid composition is associated with obesity and obesityassociated disorders. We investigated the relationship between serum fatty acids composition, adiposity, lipids profile, parameters of glucose metabolism and leptin. The study subjects were 380 adolescents aged 15.0-17.9 years. The study's variables included anthropometric measurements, levels of serum lipids and hormonal parameters. Individual fatty acids were determined in plasma by gas-liquid chromatography. Palmitoleic acid (16:1n-7, PA) significantly positively correlated with percentage of body fat. Saturated fatty acids in phospholipids (PL) positively correlated with BMI and percentage of body fat. PA content in all lipids classes positively correlated with total cholesterol (TC), HDL cholesterol, triglycerides (TG) levels. Stearoyl-CoA desaturase (SCD) activity positively correlated with percentage of body fat and positive correlations of SCD and PA level with leptin were found. Plasma PA content and SCD are associated with adiposity and leptin in obese adolescents. No significant correlation between PA level and insulin resistance was found. Palmitoleate positively correlated with TC, HDL cholesterol, TG and LDL cholesterol levels. [ABSTRACT FROM AUTHOR]
Published: 2015
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20. The influence of very-low-calorie diet on serum leptin, soluble leptin receptor, adiponectin and resistin levels in obese women

Author: Anderlova, K., Kremen, J., Radka Petráková Doležalová, Housova, J., Haluzikova, D., Kunesova, M., and Haluzik, M.
Subjects: Blood Glucose, Leptin, Physiology, nutritional and metabolic diseases, Receptors, Cell Surface, General Medicine, Body Mass Index, Treatment Outcome, Humans, Insulin, Receptors, Leptin, Female, Resistin, Adiponectin, Obesity, Insulin Resistance, hormones, hormone substitutes, and hormone antagonists, Caloric Restriction
Abstract: The aim of our study was to determine whether adipocyte-derived hormones leptin, adiponectin and resistin contribute to the improvement of insulin sensitivity after very-low calorie diet (VLCD). Therefore, serum levels of these hormones were measured in fourteen obese females before and after three weeks VLCD and in seventeen age- and sex-matched healthy controls. Body mass index, HOMA index, serum insulin and leptin levels in obese women before VLCD were significantly higher than in control group (BMI 48.01+/-2.02 vs. 21.38+/-0.42 kg/m(2), HOMA 10.72+/-2.03 vs. 4.69+/-0.42, insulin 38.63+/-5.10 vs. 18.76+/-1.90 microIU/ml, leptin 77.87+/-8.98 vs. 8.82+/-1.52 ng/ml). In contrast, serum adiponectin and soluble leptin receptors levels were significantly lower in obese women before VLCD than in the control group. No differences were found in serum glucose and resistin levels between the obese group before VLCD and the control group. VLCD significantly decreased BMI, HOMA index, serum glucose, insulin and leptin levels and increased soluble leptin receptor levels. The changes in serum adiponectin and resistin levels in obese women after VLCD did not reach statistical significance. We conclude that leptin and soluble leptin receptor levels were affected by VLCD while adiponectin and resistin concentrations were not. Therefore, other mechanisms rather than changes in the endocrine function of the adipose tissue are probably involved in the VLCD-induced improvement of insulin sensitivity.

21. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Author: Bixby, Honor, Bentham, James, Zhou, Bin, Di Cesare, Mariachiara, Paciorek, Christopher J., Bennett, James E., Taddei, Cristina, Stevens, Gretchen A., Rodriguez-Martinez, Andrea, Carrillo-Larco, Rodrigo M., Khang, Young-Ho, Soric, Maroje, Gregg, Edward W., Miranda, J. Jaime, Bhutta, Zulfiqar A., Savin, Stefan, Sophiea, Marisa K., Iurilli, Maria L. C., Solomon, Bethlehem D., Cowan, Melanie J., Riley, Leanne M., Danaei, Goodarz, Bovet, Pascal, Chirita-Emandi, Adela, Hambleton, Ian R., Hayes, Alison J., Ikeda, Nayu, Kengne, Andre P., Laxmaiah, Avula, Li, Yanping, McGarvey, Stephen T., Mostafa, Aya, Neovius, Martin, Starc, Gregor, Zainuddin, Ahmad A., Abarca-Gomez, Leandra, Abdeen, Ziad A., Abdrakhmanova, Shynar, Ghaffar, Suhaila Abdul, Hamid, Zargar Abdul, Garba, Jamila Abubakar, Abu-Rmeileh, Niveen M., Acosta-Cazares, Benjamin, Adams, Robert J., Aekplakorn, Wichai, Afsana, Kaosar, Agdeppa, Imelda A., Aguilar-Salinas, Carlos A., Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Naser, Ahmadvand, Alireza, Ahrens, Wolfgang, Ajlouni, Kamel, AlBuhairan, Fadia, AlDhukair, Shahla, Al-Hazzaa, Hazzaa M., Ali, Mohamed M., Ali, Osman, Alkerwi, Ala'a, Al-Othman, Amani Rashed, Al-Raddadi, Rajaa, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N., Amouyel, Philippe, Amuzu, Antoinette, Bo, Lars, Anderssen, Sigmund A., Angquist, Lars H., Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Aounallah-Skhiri, Hajer, Araujo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E., Arlappa, Nimmathota, Aryal, Krishna K., Aspelund, Thor, Assah, Felix K., Assuncao, Maria Cecilia F., Aung, May Soe, Auvinen, Juha, Avdicova, Maria, Azevedo, Ana, Azizi, Fereidoun, Azmin, Mehrdad, Babu, Bontha V., Baharudin, Azli, Bahijri, Suhad, Baker, Jennifer L., Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, Jose R., Barbagallo, Carlo M., Barcelo, Alberto, Barkat, Amina, Barros, Aluisio J. D., Barros, Mauro V. G., Bata, Iqbal, Batieha, Anwar M., Batista, Rosangela L., Battakova, Zhamilya, Batyrbek, Assembekov, Baur, Louise A., Beaglehole, Robert, Bel-Serrat, Silvia, Ben Romdhane, Habiba, Benedics, Judith, Benet, Mikhail, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Bettiol, Heloisa, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K., Bi, Hongsheng, Bi, Yufang, Biehl, Anna, Lele, Elysee Claude Bika, Bikbov, Mukharram, Bista, Bihungum, Bjelica, Dusko J., Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B., Bjorkelund, Cecilia, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M., Boehm, Bernhard O., Boeing, Heiner, Boggia, Jose G., Boissonnet, Carlos P., Bonaccio, Marialaura, Bongard, Vanina, Bopp, Matthias, Borchini, Rossana, Borghs, Herman, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn C. E., Brajkovich, Imperia, Branca, Francesco, Breckenkamp, Juergen, Breda, Joao, Brenner, Hermann, Brewster, Lizzy M., Brian, Garry R., Brinduse, Lacramioara, Bruno, Graziella, Bueno-de-Mesquita, H. Bas, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de Leon, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, Jose, Can, Gamze, Can, Gunay, Candido, Ana Paula C., Canete, Felicia, Capanzana, Mario V., Capuano, Eduardo, Capuano, Vincenzo, Cardoso, Viviane C., Carlsson, Axel C., Carmuega, Esteban, Carvalho, Maria J., Casanueva, Felipe F., Casas, Juan-Pablo, Caserta, Carmelo A., Celikcan, Ertugrul, Censi, Laura, Cesar, Juraci A., Chamukuttan, Snehalatha, Chan, Angelique W., Chan, Queenie, Chaturvedi, Himanshu K., Chaturvedi, Nishi, Rahim, Norsyamlina Che Abdul, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J., Chetrit, Angela, Chikova-Iscener, Ekaterina, Chiolero, Arnaud, Chiou, Shu-Ti, Chirlaque, Maria-Dolores, Cho, Belong, Cho, Yumi, Christensen, Kaare, Christofaro, Diego G., Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Claessens, Frank, Clarke, Janine, Clays, Els, Concin, Hans, Confortin, Susana C., Cooper, Cyrus, Coppinger, Tara C., Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L., Crampin, Amelia C., Crujeiras, Ana B., Cruz, Juan J., Cucu, Alexandra, Cui, Liufu, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T., Dankner, Rachel, Dantoft, Thomas M., D'Arrigo, Graziella, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, De Backer, Guy, De Bacquer, Dirk, De Curtis, Amalia, de Gaetano, Giovanni, De Henauw, Stefaan, de Oliveira, Paula Duarte, De Ridder, Karin, de Rooij, Susanne R., De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D., Dehghan, Abbas, Delisle, Helene, Delpeuch, Francis, Dennison, Elaine, Deschamps, Valerie, Dhana, Klodian, Dhimal, Meghnath, Di Castelnuovo, Augusto F., Dias-da-Costa, Juvenal Soares, Diaz, Alejandro, Dika, Zivka, Djalalinia, Shirin, Do, Ha T. P., Dobson, Annette J., Donati, Maria Benedetta, Donfrancesco, Chiara, Donoso, Silvana P., Doering, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, d'Orsi, Eleonora, Doua, Kouamelan, Drygas, Wojciech, Duan, Jia Li, Duante, Charmaine A., Duda, Rosemary B., Duleva, Vesselka, Dulskiene, Virginija, Dumith, Samuel C., Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Eddie, Ricky, Egbagbe, Eruke E., Eggertsen, Robert, Eiben, Gabriele, Ekelund, Ulf, El Ati, Jalila, Eldemire-Shearer, Denise, Eliasen, Marie, Elliott, Paul, Engle-Stone, Reina, Erasmus, Rajiv T., Erem, Cihangir, Eriksen, Louise, Eriksson, Johan G., Escobedo-de la Pena, Jorge, Evans, Alun, Faeh, David, Fall, Caroline H., Sant'Angelo, Victoria Farrugia, Farzadfar, Farshad, Fattahi, Mohammad R., Felix-Redondo, Francisco J., Ferguson, Trevor S., Fernandes, Romulo A., Fernandez-Berges, Daniel, Ferrante, Daniel, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Ferrieres, Jean, Fijalkowska, Anna, Fink, Gunther, Fischer, Krista, Flores, Eric Monterubio, Foeger, Bernhard, Foo, Leng Huat, Forslund, Ann-Sofie, Forsner, Maria, Fouad, Heba M., Francis, Damian K., Franco, Maria do Carmo, Franco, Oscar H., Frontera-Juan, Guillem, Fuchs, Flavio D., Fuchs, Sandra C., Fujita, Yuki, Furusawa, Takuro, Gaciong, Zbigniew, Gafencu, Mihai, Galeone, Daniela, Galvano, Fabio, Gao, Jingli, Garcia-de-la-Hera, Manoli, Gareta, Dickman, Garnett, Sarah P., Gaspoz, Jean-Michel, Gasull, Magda, Gates, Louise, Gazzinelli, Andrea, Geiger, Harald, Geleijnse, Johanna M., Ghanbari, Ali, Ghasemi, Erfan, Ghasemian, Anoosheh, Gheorghe-Fronea, Oana-Florentina, Giampaoli, Simona, Gianfagna, Francesco, Gill, Tiffany K., Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Godos, Justyna, Gogen, Sibel, Goldsmith, Rebecca A., Goltzman, David, Goncalves, Helen, Gonzalez, Angel R., Gonzalez-Chica, David A., Gonzalez-Gross, Marcela, Gonzalez-Leon, Margot, Gonzalez-Rivas, Juan P., Gonzalez-Villalpando, Maria-Elena, Gottrand, Frederic, Graca, Antonio Pedro, Graff-Iversen, Sidsel, Grafnetter, Dusan, Grajda, Aneta, Grammatikopoulou, Maria G., Gregor, Ronald D., Grodzicki, Tomasz, Grontved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Gualdi-Russo, Emanuela, Gudmundsson, Elias F., Gudnason, Vilmundur, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L., Gulliford, Martin C., Gunnlaugsdottir, Johanna, Gunter, Marc, Guo, Xiuhua, Guo, Yin, Gupta, Prakash C., Gupta, Rajeev, Gureje, Oye, Gurzkowska, Beata, Gutierrez, Laura, Gutzwiller, Felix, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A., Haghshenas, Rosa, Halkjaer, Jytte, Hardy, Rebecca, Kumar, Rachakulla Hari, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, He, Jiang, He, Yuna, Heidinger-Felso, Regina, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera, Victor M., Herter-Aeberli, Isabelle, Heshmat, Ramin, Hill, Allan G., Ho, Sai Yin, Ho, Suzanne C., Hobbs, Michael, Hofman, Albert, Hopman, Wilma M., Horimoto, Andrea R. V. R., Hormiga, Claudia M., Horta, Bernardo L., Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, Jose Maria, Huhtaniemi, Ilpo Tapani, Petrescu, Constanta Huidumac, Huisman, Martijn, Husseini, Abdullatif, Chinh Nguyen Huu, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Ibarluzea, Jesus M., Ibrahim, Mohsen M., Wong, Norazizah Ibrahim, Ikram, M. Arfan, Irazola, Vilma E., Ishida, Takafumi, Islam, Muhammad, Ismail, Aziz al-Safi, Ivkovic, Vanja, Iwasaki, Masanori, Jaaskelainen, Tuija, Jackson, Rod T., Jacobs, Jeremy M., Jaddou, Hashem, Jafar, Tazeen, James, Kenneth, Jamil, Kazi M., Jamrozik, Konrad, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelakovic, Ana, Jelakovic, Bojan, Jennings, Garry, Jeong, Seung-Lyeal, Jiang, Chao Qiang, Jimenez, Ramon O., Joffres, Michel, Johansson, Mattias, Jokelainen, Jari J., Jonas, Jost B., Jorgensen, Torben, Joshi, Pradeep, Jovic, Dragana P., Jozwiak, Jacek, Juolevi, Anne, Jurak, Gregor, Juresa, Vesna, Kaaks, Rudolf, Kafatos, Anthony, Kajantie, Eero O., Kalter-Leibovici, Ofra, Kamaruddin, Nor Azmi, Kameli, Yves, Kapantais, Efthymios, Karki, Khem B., Kasaeian, Amir, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T., Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli, Keil, Ulrich, Keinan-Boker, Lital, Keinanen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han C. 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M, McLachlan S, McLean RM, McLean SB, McNulty BA, Md Yusof S, Mediene-Benchekor S, Medzioniene J, Mehdipour P, Meirhaeghe A, Meisfjord J, Meisinger C, Menezes AMB, Menon GR, Mensink GBM, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michaelsen KF, Michels N, Mikkel K, Miller JC, Minderico CS, Miquel JF, Mirkopoulou D, Mirrakhimov E, Misigoj-Durakovic M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadifard N, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebi F, Moitry M, Molbo D, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio EA, Monyeki KDK, Moon JS, Moreira LB, Morejon A, Moreno LA, Morgan K, Morin S, Mortensen EL, Moschonis G, Mossakowska M, Mota J, Mota-Pinto A, Motlagh ME, Motta J, Msyamboza KP, Mu TT, Muc M, Mugoša B, Muiesan ML, Mukhtorova P, Müller-Nurasyid M, Murphy N, Mursu J, Murtagh EM, Milanovic SM, Musil V, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nankap M, 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A, Plans-Rubió P, Poh BK, Pohlabeln H, Pop RM, Popovic SR, Porta M, Portegies MLP, Posch G, Poulimeneas D, Pouraram H, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Puder JJ, Pudule I, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Quoc Bao T, Radhika MS, Radic I, Radisauskas R, Rahman M, Raitakari O, Raj M, Rajkumar H, Rakhmatulloev S, Ramachandra Rao S, Ramachandran A, Ramke J, Ramos E, Ramos R, Rampal L, Rampal S, Rao KM, Rascon-Pacheco RA, Rasmussen M, Redon J, Reganit PFM, Regecová V, Revilla L, Ribas-Barba L, Ribeiro R, Riboli E, Rigo F, Rinaldo N, Rinke de Wit TF, Rito A, Ritti-Dias RM, Rivera JA, Robitaille C, Rodrigues D, Rodríguez-Artalejo F, Rodriguez-Perez MC, Rodríguez-Villamizar LA, Rojas-Martinez R, Rojroongwasinkul N, Romaguera D, Rosengren A, Rouse I, Roy JGR, Rubinstein A, Rühli FJ, Ruidavets J-B, Ruiz Moreno E, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Safiri S, Saidi O, Salanave B, Salazar-Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sandjaja, Sans S, Santa-Marina L, Santos DA, Santos IS, Santos O, Santos R, Sanz SS, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum K-U, Savva S, Savy M, Scazufca M, Schaffrath Rosario A, Schargrodsky H, Schienkiewitz A, Schindler K, Schipf S, Schmidt CO, Schmidt IM, Schöttker B, Schultsz C, Schutte AE, Sebert S, Sein AA, Selamat R, Sember V, Sen A, Senbanjo IO, Sepanlou SG, Sequera V, Serra-Majem L, Servais J, Shalnova SA, Sharma SK, Shaw JE, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Siani A, Siantar R, Sibai AM, Silva AM, Silva DAS, Simon M, Simons J, Simons LA, Si-Ramlee K, Sjöberg A, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, So H-K, Sobngwi E, Söderberg S, Soekatri MYE, Soemantri A, Solfrizzi V, Sonestedt E, Song Y, Sørensen TIA, Sossa Jérome C, Soumaré A, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stathopoulou MG, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, 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Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Varona-Pérez P, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vineis P, Vioque J, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Völzke H, Voutilainen A, Voutilainen S, Vrijheid M, Vrijkotte TGM, Wade AN, Wagner A, Waldhör T, Walton J, Wan Bebakar WM, Wan Mohamud WN, Wanderley RS, Jr, Wang M-D, Wang Q, Wang X, Wang YX, Wang Y-W, Wannamethee SG, Wareham N, Weber A, Weerasekera D, Weghuber D, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong JE, Wong TY, Wong-McClure RA, Woo J, Woodward M, Wu FC, Wu J, Wu S, Xu H, Xu L, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yaseri M, Ye X, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You S-L, Younger-Coleman NO, Yusoff AF, Zaccagni L, Zafiropulos V, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhao D, Zhao W, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zhussupov B, Zimmermann E, Zuñiga Cisneros J, Ezzati M, Yiallouros, Panayiotis K. [0000-0002-8339-9285], APH - Societal Participation & Health, APH - Aging & Later Life, Epidemiology and Data Science, Public and occupational health, APH - Health Behaviors & Chronic Diseases, and APH - Personalized Medicine
Subjects: Male, Rural Population, obesity, Obesity, body mass index, Settore MED/09 - Medicina Interna, Letter, Urban Population, Epidemiology, [SDV]Life Sciences [q-bio], humanos, body-mass index, adolescente, Geographic Mapping, Sex Factor, países desarrollados, Rural Health, purl.org/pe-repo/ocde/ford#3.03.09 [https], systematic analysis, Body Mass Index, países en desarrollo, 80 and over, risk factors, Age Factor, physical-activity, mediana edad, mapeo geográfico, Aged, 80 and over, anciano, purl.org/pe-repo/ocde/ford#3.02.18 [https], dieta, Age Factors, health, adulto, Middle Aged, Multidisciplinary Sciences, adulto joven, [SDV] Life Sciences [q-bio], estado nutricional, nutrition, Science & Technology - Other Topics, NUTRITION, Female, HEALTH, pooled analysis, Diet, Healthy, worldwide trends, Human, Developed Countrie, Adult, Adolescent, purl.org/pe-repo/ocde/ford#3.03.04 [https], FOOD SYSTEM, Socio-culturale, Nutritional Status, URBAN, Aged, Developed Countries, Developing Countries, Humans, Obesity, Sex Factors, Urban Health, Young Adult, POOLED ANALYSIS, Developing Countrie, MIDDLE-INCOME COUNTRIES, SYSTEMATIC ANALYSIS, Urban rural Obesity Body-Mass-Index, obesidad, Middle-income countries, food system, urban, weight, Healthy, Science & Technology, índice de masa corporal, Diet, PHYSICAL-ACTIVITY, WORLDWIDE TRENDS, Risk factors, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, WEIGHT
Abstract: Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories., This study was funded by the Wellcome Trust. H.B. was supported by a Medical Research Council Doctoral Training Partnership Studentship, J.B. by a Royal Society Research Grant, and M.D.C. by an Academy of Medical Sciences Springboard Award. We thank L. Jaacks, B. Popkin, S. Sundberg and W. Willett for recommendations of relevant citations. The authors are responsible for the views expressed in this Letter and they do not necessarily represent the views, decisions, or policies of the institutions with which they are affiliated.
Published: 2019
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21 results on '"Kunesova, M"'

1. Weight loss decreases self-reported appetite and alters food preferences in overweight and obese adults: Observational data from the DiOGenes study.

2. System model network for adipose tissue signatures related to weight changes in response to calorie restriction and subsequent weight maintenance.

3. Weight loss maintenance in overweight subjects on ad libitum diets with high or low protein content and glycemic index: the DIOGENES trial 12-month results.

4. WHO European Childhood Obesity Surveillance Initiative 2008: weight, height and body mass index in 6-9-year-old children.

5. Circulating ACE is a predictor of weight loss maintenance not only in overweight and obese women, but also in men.

6. Safety, tolerability and sustained weight loss over 2 years with the once-daily human GLP-1 analog, liraglutide.

7. Analyses of single nucleotide polymorphisms in selected nutrient-sensitive genes in weight-regain prevention: the DIOGENES study.

8. TFAP2B influences the effect of dietary fat on weight loss under energy restriction.

9. Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index.

10. Initial weight loss on an 800-kcal diet as a predictor of weight loss success after 8 weeks: the Diogenes study.

11. The Eating Inventory, body adiposity and prevalence of diseases in a quota sample of Czech adults.

12. Psychobehavioral and nutritional predictors of weight loss in obese women treated with sibutramine.

13. Adipose tissue lipolysis and hormone-sensitive lipase expression during very-low-calorie diet in obese female identical twins.

14. In vivo increase in beta-adrenergic lipolytic response in subcutaneous adipose tissue of obese subjects submitted to a hypocaloric diet.

15. Obesity of Czech children and adolescents: relation to parental obesity and socioeconomic factors

16. System Model Network for Adipose Tissue Signatures Related to Weight Changes in Response to Calorie Restriction and Subsequent Weight Maintenance

17. WHO European Childhood Obesity Surveillance Initiative 2008: weight, height and body mass index in 6–9-year-old children

18. Short-term very low calorie diet reduces oxidative stress in obese type 2 diabetic patients

19. Association of Plasma Lipids Fatty Acid Composition With Metabolic Profile of Czech Adolescents.

20. The influence of very-low-calorie diet on serum leptin, soluble leptin receptor, adiponectin and resistin levels in obese women

21. Rising rural body-mass index is the main driver of the global obesity epidemic in adults

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