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Departments of Agriculture and Health and Human Services on the Creation of the 2015 Dietary Guidelines for Americans. (2015) Treatment of Obesity in 2015. (2015) Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Quon. Thorens, A. Ammerman. Van Gossum, R. The increasing improvement in levels of some biomarkers over time up to the 24-month point, despite the achievement of maximum weight loss by 6 months, suggests that a diet with a healthful composition has benefits beyond weight reduction. Adobe Flash Player is required to view this feature. (2016) Salba-chia (Salvia hispanica L. (2016) A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity. The Journal of Pediatrics 178, 188-193. CrossRef 34 Wenpeng You, Maciej Henneberg. All results were also similar when we evaluated relative (percent) weight changes rather than absolute weight changes (not shown). Adobe Flash Player is required to view this feature. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Long term pharmacotherapy for obesity and overweight: updated meta-analysis. (2015) Changes in food choice patterns in a weight loss intervention. (2016) Weight Gain in Zollinger-Ellison Syndrome After Acid Suppression. A. Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. Adobe Flash Player is required to view this feature. (2016) Behavioral Treatment of the Patient with Obesity. Grigorian. 2015. Siri-Tarino. Befort. Potatoes and Human Health. Journal of Occupational and Environmental Medicine 58, e111-e113. Nutrition and Cardiovascular Health: A Review. Torstveit, Hilde Lohne-Seiler, Elling Bere. Association between dairy food consumption and weight change over 9 y in 19,352 perimenopausal women. Simpson, David Raubenheimer. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Ramirez, J. CrossRef 90 Wendy E Barrington, Emily White. Adobe Flash Player is required to view this feature. Food Funct. Our findings suggest that both individual and population-based strategies to help people consume fewer calories may be most effective when particular foods and beverages are targeted for decreased (or increased) consumption. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Calcium and dairy intakes in relation to long-term weight gain in US men. Provenza, Michel Meuret, Pablo Gregorini. Dietary Intake, Energy Expenditure, and Urinary Ketones At baseline, there were no significant differences in the composition of the diets consumed by participants assigned to the low-fat, Mediterranean, and low-carbohydrate diets. Whole Grains and Metabolic Syndrome. ) Fruit Pulp on Brain Health and Performance. P Article Activity 576 articles have cited this article Article Because efforts to lose weight pose tremendous challenges, primary prevention of weight gain is a global priority. (2016) Dietary intake in people consuming a reduced-carbohydrate diet in the National Diet and Nutrition Survey. Thus, less weight gain occurred with decreased consumption of potato chips, processed meats, sugar-sweetened beverages, potatoes, or trans fat, and more weight gain occurred with decreased consumption of vegetables, whole grains, fruits, nuts, or yogurt. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. The Mediterranean-diet group consumed the largest amounts of dietary fiber and had the highest ratio of monounsaturated to saturated fat (P Full Text of Results. (2016) Estimating individual optimal sleep duration and potential sleep debt. Vitamins, Phytonutrients, and Minerals in Potato. CrossRef 179 Anthony Fardet. CrossRef 41 S Panahi, M A Fernandez, A Marette, A Tremblay. Stoehr, Dominik Menhofer, Martin Bidlingmaier, Ellen Kienzle. Rosen, Julie K. (2016) 100 % Fruit juice: perspectives amid the sugar debate. Vetrani. Picard-Deland, M. (2016) Biology of Beige Adipocyte and Possible Therapy for Type 2 Diabetes and Obesity. (2016) Comparison of the bacterial communities in feces from wild versus housed sables (Martes zibellina) by high-throughput sequence analysis of the bacterial 16S rRNA gene. Aggregate dietary changes accounted for substantial differences in weight gain, with additional contributions from changes in physical activity and television watching, thus highlighting specific lifestyle changes that might be prioritized in obesity-prevention strategies. (2016) Dietary Reference Intakes (DRI) for Japanese (2015) and Dietary Management of Risk Factors for Lifestyle-related Diseases. Boirie, T. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Sheiner. CrossRef 156 L. (2015) Medical school-based teaching kitchen improves HbA1c, blood pressure, and cholesterol for patients with type 2 diabetes: Results from a novel randomized controlled trial. Journal of the American College of Nutrition 35:6, 581-586. Journal of the American College of Nutrition 35:8, 717-731. Bleich. Conversely, the ranges of dietary intakes were broad and overlapped with national estimates. Adobe Flash Player is required to view this feature. CrossRef 13 Tomomi Yamazaki, Sumire Okawa, Mayumi Takahashi. 2015. Wolfson, Sara N. Multivariable models were used to adjust for age, baseline body-mass index in each 4-year period, and all lifestyle factors simultaneously. CrossRef 26 Naji Alamuddin, Thomas A. Utzschneider. (2016) Nut consumption and age-related disease. The American Journal of Medicine 129:4, 407-415. Laska, Dianne Neumark-Sztainer. Total energy intake is not well estimated from dietary questionnaires, nor does it reflect energy balance, which is necessarily codetermined by energy expenditure. Forouzanfar. L. Obesity and Diabetes. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. The P values for the comparison between the low-fat group and the Mediterranean-diet group are 0. CrossRef 18 Goreti Botelho, Sara Canas, Jorge Lameiras. The explanatory variables were age, sex, time point, and diet group. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. CrossRef 133 Td Noakes. (2016) Diet Quality of Breast Cancer Survivors after a Six-Month Weight Management Intervention: Improvements and Association with Weight Loss. ) beverage. Hotz. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adobe Flash Player is required to view this feature. Knutson. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. Lima, L. Just, Gnel Gabrielyan. International Journal of Behavioral Nutrition and Physical Activity 13:1. Adobe Flash Player is required to view this feature. Their inverse associations with weight gain suggest that the increase in their consumption reduced the intake of other foods to a greater (caloric) extent, decreasing the overall amount of energy consumed. (2016) Two-year changes in circulating adiponectin, ectopic fat distribution and body composition in response to weight-loss diets: the POUNDS Lost Trial. CrossRef 87 Mash Hamid, Clare Stradling, Shahrad Taheri, G Thomas. , beverages of low energy density were strongly associated with weight gain). (2016) The time has come to flag and reduce excess fructose intake. Prior analyses of HPFS data showed associations similar to ours for the overall categories of whole-fat and low-fat dairy products, 40 but subtypes (e. Ruxton. CrossRef 114 Kristy Breuhl Smith, Michael Seth Smith. Hite, Pamela Schoenfeld. CrossRef 44 Eli Heggen, Mette Svendsen, Tor Ole Klemsdal, Serena Tonstad. To statistically evaluate the changes in weight measurements over time, generalized estimating equations were used, with the low-fat group as the reference group. ) Full Text of Discussion. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 1 (SAS Institute), at a two-tailed alpha level of 0. During both the weight-loss and the maintenance phases, the level of high-molecular-weight adiponectin ( Figure 4B ) increased significantly (P Figure 4C ). Li, P. CrossRef 35 Yohannes Adama Melaku, Awoke Misganaw Temesgen, Amare Deribew, Gizachew Assefa Tessema, Kebede Deribe, Berhe W. (2015) Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Matarese, Walter J. A randomized controlled trial of a moderate-fat, low-energy diet compared with a low fat, low-energy diet for weight loss in overweight adults. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 79 Dariush Mozaffarian. S. (2015) A journey into a Mediterranean diet and type 2 diabetes: a systematic review with meta-analyses. Comparison of the Atkins, Zone, Ornish, and LEARN diets for change in weight and related risk factors among overweight premenopausal women: the A TO Z Weight Loss Study: a randomized trial. Caterson. Schauss. (2016) Weight discrimination and unhealthy eating-related behaviors. (2016) Twelve key nutritional issues in bariatric surgery. 03 for triglycerides, 0. L. Journal of Nutrition Education and Behavior 48:1, 42-53. (2016) Lifestyle modification for stroke prevention. Metz. The final analyses included 50,422 women in the NHS, 47,898 women in the NHS II, and 22,557 men in the HPFS, all of whom were free of obesity and chronic diseases and for whom data on weight and lifestyle habits at baseline were complete. (2017) Comparison Between Two Assessment Tools for Fruit and Vegetable Intake Relative to the 24hr Recall. 23 Shai I, Vardi H, Shahar DR, Azrad BA, Fraser D. (2016) Dietary Strategies for Cardiovascular Health. CrossRef 21 W Ma, T Huang, M Wang, Y Zheng, T Wang, Y Heianza, D Sun, S R Smith, G A Bray, F M Sacks, L Qi. Adobe Flash Player is required to view this feature. Dieter, Katherine R. Effects of total fat intake on body weight. Goodlett, Andrew W. , 93. Liu, G. Analyses were carried out with the use of SAS software, version 9. The diet was based on the Atkins diet (see Supplementary Appendix 2 ). Daniele, E. CrossRef 75 Masao Kanauchi, Kimiko Kanauchi. g. CrossRef 124 Denis Lairon. The intakes of total calories, protein, and fat were not limited. (2016) Low Carbohydrate and Moderately Fat-Reduced Diets Similarly Affected Early Weight Gain in Varenicline-Treated Overweight or Obese Smokers. Fifteen-year longitudinal trends in walking patterns and their impact on weight change. Glanville, Sam Brown, Raanan Shamir, Hania Szajewska, Jacqualyn F. Adobe Flash Player is required to view this feature. (2015) Grain legumes and further gluten free legumes—Science, technology and impacts on human health. Journal of the Academy of Nutrition and Dietetics 116:7, 1156-1162. The P value is less than 0. Livesey, S. 1 kg every month. (2016) Association of adherence to a Mediterranean diet with glycemic control and cardiovascular risk factors in youth with type I diabetes: the SEARCH Nutrition Ancillary Study. Provision of foods differing in energy density affects long-term weight loss. CrossRef 55 Antoine G. 2017. McCarthy. Saris, Arne Astrup. CrossRef 91 Sascha Rohn, Leo van Griensven. (2014) Low carbohydrate diets: going against the grain. (2016) Preclinical evidence for the addiction potential of highly palatable foods: Current developments related to maternal influence. New York: Avon, 2002. 46-52 Our long-term prospective evaluation provides evidence that both the duration of television viewing and changes in the duration of viewing influence weight gain in adults. Yancy. Ha, A. 50 for adiponectin, 0. Conclusions Specific dietary and lifestyle factors are independently associated with long-term weight gain, with a substantial aggregate effect and implications for strategies to prevent obesity. Ding, M. Adobe Flash Player is required to view this feature. (2015) Multiple pathways from the neighborhood food environment to increased body mass index through dietary behaviors: A structural equation-based analysis in the CARDIA study. (2016) Nutrition and Health Disparities: The Role of Dairy in Improving Minority Health Outcomes. S. Journal of Functional Morphology and Kinesiology 2:1, 4. Wood, C. (2016) Health-beneficial properties of potato and compounds of interest. (2016) Relation between dietary pattern analysis (principal component analysis) and body mass index: a 5-year follow-up study in a Belgian military population. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Dietary and Lifestyle Strategies for Weight Loss. (2016) Effects of perceived weight discrimination on willingness to adopt unhealthy behaviours: influence of genomic information. Budoff, A. (2016) The Deep Correlation between Energy Metabolism and Reproduction: A View on the Effects of Nutrition for Women Fertility. Beaudoin, A. Schoeny, Louis Fogg, JoEllen Wilbur. Adobe Flash Player is required to view this feature. Mitchell, M. In addition, a group of spouses received education to strengthen their support of the participants (data not shown). (2016) The impact of dietary risk factors on the burden of non-communicable diseases in Ethiopia: findings from the Global Burden of Disease study 2013. 22 Nutritional and Color Labeling of Food in the Cafeteria Lunch is typically the main meal in Israel. Williams, L. (2014) Long-Term Low Carbohydrate Diet Leads to Deleterious Metabolic Manifestations in Diabetic Mice. Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. Seeley, Tamara Darsow, Erika Gebel Berg, Steven R. Results Characteristics of the Participants The baseline characteristics of the participants are shown in Table 1 Table 1 Baseline Characteristics of the Study Population. Participants were followed with the use of biennial validated questionnaires concerning medical history, lifestyle, and health practices. CrossRef 130 Adele H. (2017) Evidence that supports the prescription of low-carbohydrate high-fat diets: a narrative review. Lifestyle Choices, Risk Factors, and Cardiovascular Disease. Bornhorst, David J. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Discussion We found that multiple lifestyle changes were independently associated with long-term weight gain, including changes in the consumption of specific foods and beverages, physical activity, alcohol use, television watching, and smoking habits. Adobe Flash Player is required to view this feature. Subsequent weight gain for former smokers was small (0. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adobe Flash Player is required to view this feature. 94 for LDL cholesterol, and 0. C. 01 for HDL cholesterol, 0. The explanatory variables were age, sex, time point, and diet group. Adobe Flash Player is required to view this feature. P. ) Full Text of Discussion. CrossRef 146 Richard Shriner, Mark Gold. Adobe Flash Player is required to view this feature. (2016) Paradoxical Effects of Fruit on Obesity. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Guess. Adobe Flash Player is required to view this feature. Tucker, Keimari Mendez, Maribel Campos, Walter Willett, Marytere Melendez, Mathew W. Jenkins, Vasanti Malik, Miguel A. Limited short-term studies of dairy foods and satiety or weight change have had inconsistent results. Via, Jeffrey I. CrossRef 10 Elizabeth H. Journal of the American College of Nutrition 34, 1-14. Shah, V. Adobe Flash Player is required to view this feature. CrossRef 139 Liya Wu, Klaus G. (2014) Race and Gender Disparities in Nutrient Intake Are Not Related to Metabolic Syndrome in 20- to 59-Year-Old US Adults. (2015) The Effects of a Low-Carbohydrate Diet vs. CrossRef 99 Lee Hooper, Asmaa Abdelhamid, Diane Bunn, Tracey Brown, Carolyn D Summerbell, C Murray Skeaff, Lee Hooper. The participants were counseled to consume low-fat grains, vegetables, fruits, and legumes and to limit their consumption of additional fats, sweets, and high-fat snacks. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. (2017) A High Rate of Non-Compliance Confounds the Study of Whole Grains and Weight Maintenance in a Randomised Intervention Trial—The Case for Greater Use of Dietary Biomarkers in Nutrition Intervention Studies. CrossRef 107 Isabel Sospedra, Raquel Moral, Raquel Escrich, Montserrat Solanas, Elena Vela, Eduard Escrich. Tosh, Jenni Nix, Pedro Urday, Daphne Tice, Leah Sarris, Timothy S. CrossRef 8 S Dernini, EM Berry, L Serra-Majem, C La Vecchia, R Capone, FX Medina, J Aranceta-Bartrina, R Belahsen, B Burlingame, G Calabrese, D Corella, LM Donini, D Lairon, A Meybeck, AG Pekcan, S Piscopo, A Yngve, A Trichopoulou. CrossRef 37 Marta Campolier, Sangeetha Pariyarath Thondre, Miriam Clegg, Amir Shafat, Ali Mcintosh, Helen Lightowler. Fermented Foods in Health and Disease Prevention, 305-338. Coffman, Stephanie Mayer, William S. Bioactive Nutraceuticals and Dietary Supplements in Neurological and Brain Disease, 179-186. (2016) Effectiveness of Workplace Weight Management Interventions: a Systematic Review. CrossRef 127 G. CrossRef 105 Lee Hooper, Nicole Martin, Asmaa Abdelhamid, George Davey Smith, Lee Hooper. (2015) Dietary patterns in India and their association with obesity and central obesity. (2014) Functional foods and cardiometabolic diseases. Absolute levels of physical activity, rather than changes in these levels, were not associated with weight change (data not shown). Adobe Flash Player is required to view this feature. CrossRef 131 Ashley Harris, Nymisha Chilukuri, Meredith West, Janice Henderson, Shari Lawson, Sarah Polk, David Levine, Wendy L. Adobe Flash Player is required to view this feature. Addison, James A. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2014) Factors associated with choice of a low-fat or low-carbohydrate diet during a behavioral weight loss intervention. (2015) Behavioral characterization of a model of differential susceptibility to obesity induced by standard and personalized cafeteria diet feeding. (2014) Mediterranean Diet and Workplace Health Promotion. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Hu, Qi Sun. C. Changes in diet and physical activity were independently associated with weight gain ( Figure 2 ). (2016) Adherence to the Mediterranean diet in a Lebanese sample. (2016) Longterm clinical and radiological follow-up of living liver donors. (2016) The Role of Macronutrient Content in the Diet for Weight Management. Alcohol, body weight, and weight gain in middle-aged men. CrossRef 101 JoEllen Wilbur, Arlene Michaels Miller, Louis Fogg, Judith McDevitt, Cynthia M. Masana, J. Nystrom, Michael J. (2015) Low Carbohydrate Rather Than Low Fat Is More Important in Dietary Management of Nonalcoholic Steatohepatitis. Cavallo, Masako Horino, William J. (2016) The Link Between Inadequate Sleep and Obesity in Young Adults. CrossRef 154 M. (2016) Gender-related different effects of a combined therapy of Exenatide and Metformin on overweight or obesity patients with type 2 diabetes mellitus. (2016) A community-based lifestyle and weight loss intervention promoting a Mediterranean-style diet pattern evaluated in the stroke belt of North Carolina: the Heart Healthy Lenoir Project. Our findings highlight gaps in our mechanistic understanding of how particular dietary characteristics alter energy balance, suggesting directions for future research regarding pathways involved in hunger, satiety, absorption, metabolism, and adipocyte growth or hyperplasia. S. To convert values for triglycerides to millimoles per liter, multiply by 0. (2016) Impact of food supplementation on weight loss in randomised-controlled dietary intervention trials: a systematic review and meta-analysis. Excess weight and the risk of incident coronary heart disease among men and women. Results The rate of adherence to a study diet was 95. Trans fatty acids: effects on metabolic syndrome, heart disease and diabetes. (2016) Carbohydrates and insulin resistance in clinical nutrition: Recommendations from the ESPEN expert group. Adobe Flash Player is required to view this feature. The level of glycated hemoglobin was determined with the use of Cobas Integra reagents and equipment. (2016) Is consuming yoghurt associated with weight management outcomes. CrossRef 58 T. Skim milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. L. Whelton, J. Disclosure forms provided by the authors are available with the full text of this article at NEJM. (2016) Association between sleep deficiency and cardiometabolic disease: implications for health disparities. He, L. I. Houchins, C. Additional Analyses We categorized dietary changes more finely to examine wider ranges of potential effects ( Figure 2 Figure 2 Relationships between Changes in Diet and Physical Activity and Weight Changes within Each 4-Year Period in the Three Cohorts. (2016) The use of low-calorie sweeteners is associated with self-reported prior intent to lose weight in a representative sample of US adults. CrossRef 180 Pablo Monsivais, Adam Martin, Marc Suhrcke, Nita G. Adobe Flash Player is required to view this feature. As compared with participants in the top decile, participants in each lower decile of dietary change had greater weight gain, in a dose-dependent fashion. (2015) Treating the patient with nonalcoholic fatty liver disease. Insulin resistance, low-fat diets, and low-carbohydrate diets: time to test new menus. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Cardiovascular Risk in Midlife African American Women Participating in a Lifestyle Physical Activity Program. Persons may achieve a new steady-state weight within months after a change in regular physical activity, diet, or other lifestyle habits, highlighting the importance of repeated assessments of over time to discern long-term effects. Aleksandrova. Adobe Flash Player is required to view this feature. CrossRef 154 Elisa J Vargas-Garcia, Charlotte EL Evans, Janet E Cade. Energy gain and energy gap in normal-weight children: longitudinal data of the KOPS. , milk, cheese, and butter) were not evaluated independently. (2014) Personalized nutrition and obesity. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. All weight changes were adjusted simultaneously for age, baseline body-mass index, sleep duration, and changes in smoking status, physical activity, television watching, alcohol use, and all of the dietary factors shown. Finally, one might argue that the unique nature of the workplace in this study, which permitted a closely monitored dietary intervention for a period of 2 years, makes it difficult to generalize the results to other free-living populations. 2017. (2015) Heart health: diets and lifestyle. Adobe Flash Player is required to view this feature. CrossRef 111 Hiu Yee Kwan, Xiaojuan Chao, Tao Su, Xiuqiong Fu, Anfernee Kai Wing Tse, Wang Fun Fong, Zhi-Ling Yu. CrossRef 46 Youfa Wang, Liang Wang, Hong Xue, Weidong Qu. Baer-Sinnott, A. Adobe Flash Player is required to view this feature. Data were available for 36 participants with type 2 diabetes: 11 in the low-fat group, 13 in the Mediterranean-diet group, and 12 in the low-carbohydrate group. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 9 Hans Hauner. Day. Adobe Flash Player is required to view this feature. Tuttle. CrossRef 63 Adriana Souza Torsoni, Marciane Milanski, Marcio Alberto Torsoni. Callister. Niu, S. Ouyang, S. Baer. We analyzed the dietary-composition data and biomarkers with the use of raw unadjusted means, without imputation of missing data. adults, which potentially limits the generalizability of the findings. Adobe Flash Player is required to view this feature. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Carmen Martinez, Ramaroson Andriantsitohaina. All these relationships must be mediated by changes in energy intake, energy expenditure, or both. However, weight gain often occurs gradually over decades (about 1 lb per year), making it difficult for most people to perceive the specific causes. Diet, insulin resistance, and obesity: zoning in on data for Atkins dieters living in South Beach. W. Alcohol consumption, weight gain, and risk of becoming overweight in middle-aged and older women. 1% for triglycerides. Washington, DC: National Sleep Foundation, 2010. CrossRef 104 Cinthya Wibisono, Yasmine Probst, Elizabeth Neale, Linda Tapsell. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Farinaro, G. Television viewing behaviour and associations with food habits in different countries. (2016) Position of the Academy of Nutrition and Dietetics: Interventions for the Treatment of Overweight and Obesity in Adults. Adobe Flash Player is required to view this feature. L. Weight gain as a risk factor for clinical diabetes mellitus in women. Transactions of the Royal Society of South Africa 70, 79-82. Obesity prevention programs for children and youth: why are their results so modest. Adobe Flash Player is required to view this feature. As Okie recently suggested, 33 using the employer as a health coach could be a cost-effective way to improve health. Dietary Patterns and Insulin Resistance. Women and smoking: a report of the Surgeon General. (2016) Controversies about sugars: results from systematic reviews and meta-analyses on obesity, cardiometabolic disease and diabetes. CrossRef 43 James Rippe, Theodore Angelopoulos. 2016. Leung, G. Supported by the Nuclear Research Center Negev (NRCN), the Dr. Wong, E. Release 23. Lifestyle changes were assessed either as continuous variables, with censoring of data at the 0. CrossRef 81 Roxana Torres, Sandra Soltero, Maria Angelica Trak, Carolyn M. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Freitas. CrossRef 113 Perla A. CrossRef 61 Roberta Fontana, Sara Torre. CrossRef 153 Jayesh Kamath, Galina Prpich, Sarah Jillani. Zainudiniv, Olga N. 2015. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Bottai. 41 lb), but heterogeneity was evident with respect to both the beverage type and the size and direction of changes in use (see the figure in the Supplementary Appendix ). (2016) Evaluating a small change approach to preventing long term weight gain in overweight and obese adults — Study rationale, design, and methods. 44 Lanou AJ, Barnard ND. 2017. Nutrition. Social factors and television use during meals and snacks is associated with higher BMI among pre-school children. Adobe Flash Player is required to view this feature. The results were similar across the three separate cohorts, increasing our confidence in the validity and generalizability of the findings. Higher fiber content and slower digestion of these foods would augment satiety, and their increased consumption would also displace other, more highly processed foods in the diet, providing plausible biologic mechanisms whereby persons who eat more fruits, nuts, vegetables, and whole grains would gain less weight over time. (2015) Open Letter to the Secretaries of the U. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Waist circumference was measured halfway between the last rib and the iliac crest. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adobe Flash Player is required to view this feature. T. CrossRef 54 Shingo Kitamura, Yasuko Katayose, Kyoko Nakazaki, Yuki Motomura, Kentaro Oba, Ruri Katsunuma, Yuri Terasawa, Minori Enomoto, Yoshiya Moriguchi, Akiko Hida, Kazuo Mishima. (2015) The relationship between sweetened beverage consumption and risk of heart failure in men. CrossRef 115 R. Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods, 41-52. org. (2016) Obesity-Related Dietary Behaviors among Racially and Ethnically Diverse Pregnant and Postpartum Women. Tworoger, Tianyi Huang. Assmann, P. Prospective weight change and colon cancer risk in male US health professionals. We transformed physical-activity scores into metabolic equivalents per week 27 according to the amount of time spent in various forms of exercise per week, with each activity weighted in terms of its level of intensity. The effects of low-carbohydrate versus conventional weight loss diets in severely obese adults: one-year follow-up of a randomized trial. Thus, weight change is the best population metric of energy imbalance and at least partly captures energy intake after adjustment for determinants of expenditure (e. Adobe Flash Player is required to view this feature. Journal of the American College of Cardiology 66:14, 1590-1614. CrossRef 62 Ronan Thibault, Olivier Huber, Dan E. Adobe Flash Player is required to view this feature. We used the Israeli food database 23 in the analysis of the results of the dietary questionnaires. Rivellese, F. Different types of alcohol drinks were also evaluated. Effects of low-carbohydrate vs low-fat diets on weight loss and cardiovascular risk factors: a meta-analysis of randomized controlled trials. A prospective study of body mass index, weight change, and risk of stroke in women. Although dietary questionnaires specified portion sizes, residual, unmeasured differences in portion sizes among participants might account for additional independent effects on energy balance. (2016) A Health Threat to Bystanders Living in the Homes of Smokers: How Smoke Toxins Deposited on Surfaces Can Cause Insulin Resistance. Perez-Leighton. CrossRef 77 Xin Wang, Xu-sheng Chang, Lin Gao, Cheng-zhu Zheng, Xin Zhao, Kai Yin, Guo-en Fang. Nutritional management of glycaemia in Type 2 diabetes. We relied on self-reported dietary intake, but we validated the dietary assessment in two different dietary-assessment tools and used electronic questionnaires to minimize the amount of missing data. Lifestyle changes were self-selected, and residual confounding from other lifestyle behaviors is possible. Adobe Flash Player is required to view this feature. Aggregate dietary changes were associated with substantial differences in weight change (3. Milkman, Jason Riis. Television watching increases motivated responding for food and energy intake in children. Laitner, Michael G. (2015) Job-loss and weight gain in British adults: Evidence from two longitudinal studies. S. E. Estruch. Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). (2016) The effects of potatoes and other carbohydrate side dishes consumed with meat on food intake, glycemia and satiety response in children. (2016) Dietary and physical activity of adult patients with type 2 diabetes in Zhejiang province of eastern China: Data from a cross-sectional study. Adobe Flash Player is required to view this feature. (2015) Effectiveness of weight loss interventions - is there a difference between men and women: a systematic review. Francine Laden for comments during the preparation of an early version of the manuscript, and Dr. (2015) Demographic, health-related, and work-related factors associated with body mass index and body fat percentage among workers at six Connecticut manufacturing companies across different age groups: a cohort study. Perri. International Journal of Food Sciences and Nutrition 67:3, 232-238. Heimbach. CrossRef 14 Satya Dash. 2016. CrossRef 184 J. (2015) The scale of the evidence base on the health effects of conventional yogurt consumption: findings of a scoping review. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Sievenpiper. Eur J Clin Nutr 2011 May 11 (Epub ahead of print). E. The P values for the comparison between the low-fat group and the low-carbohydrate group are 0. The Health Professionals Follow-up Study (HPFS) is a prospective study of a cohort of 51,529 male health professionals from all 50 states, enrolled in 1986. CrossRef 117 Hong Zheng, Janne Lorenzen, Arne Astrup, Lesli Larsen, Christian Yde, Morten Clausen, Hanne Bertram. Adobe Flash Player is required to view this feature. Rosner, Edward Giovannucci, Rob M. W. Forouhi, Nicholas J. CrossRef 126 Patrick Mullie, P Clarys. Adobe Flash Player is required to view this feature. Gac, V. (2016) Healthful dietary patterns and long-term weight change among women with a history of gestational diabetes mellitus. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Lipid Profiles Changes in lipid profiles during the weight-loss and maintenance phases are shown in Figure 3 Figure 3 Changes in Cholesterol and Triglyceride Biomarkers According to Diet Group during the Maximum Weight-Loss Phase (1 to 6 Months) and the Weight-Loss Maintenance Phase (7 to 24 Months) of the 2-Year Intervention. All weight changes were adjusted simultaneously for age, baseline body-mass index, sleep duration, and changes in smoking status, physical activity, television watching, alcohol use, and all of the dietary factors shown. (2014) Lessons in biostatistics: inferences and conjectures about average and conditional treatment effects in randomized trials and observational studies. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. Fuller, M. A low-carbohydrate, ketogenic diet versus a low-fat diet to treat obesity and hyperlipidemia: a randomized, controlled trial. Future studies should evaluate how changes in sleep over time are related to weight gain. (2016) Healthy Weight in Lesbian and Bisexual Women Aged 40 and Older: An Effective Intervention in 10 Cities Using Tailored Approaches. Riccardi, A. Other lifestyle factors were also independently associated with weight change (P 8 hours of sleep), and television watching (0. Endocrinology and Metabolism Clinics of North America 45:3, 581-604. Chui, Valerie Clark, Marilyn A. (2016) Obesity Statistics. The results imply that dietary composition modifies metabolic biomarkers in addition to leading to weight loss. (2016) Impact of Improving Home Environments on Energy Intake and Physical Activity: A Randomized Controlled Trial. CrossRef 135 Jennifer Arussi. CrossRef 6 Paolo Nicola Barbieri. Meyer, Annie Green Howard, Janne Boone-Heinonen, Barry M. We aimed at an energy intake of 1500 kcal per day for women and 1800 kcal per day for men, with 30% of calories from fat, 10% of calories from saturated fat, and an intake of 300 mg of cholesterol per day. Adobe Flash Player is required to view this feature. (2016) Scientific evidence and daily food for a better life: Milan, 19 June 2015. CrossRef 157 Keiko Handa, Kouichi Inukai, Hirohisa Onuma, Akihiko Kudo, Fumiyuki Nakagawa, Kazue Tsugawa, Atsuko Kitahara, Rie Moriya, Kazuto Takahashi, Yoshikazu Sumitani, Toshio Hosaka, Hayato Kawakami, Seiichi Oyadomari, Hitoshi Ishida, Julie A. Pories. Scientific evidence of interventions using the Mediterranean diet: a systematic review. Daniel Abraham International Center for Health and Nutrition, Ben-Gurion University, Israel. (2016) Lifestyle modification intervention for overweight and obese Hispanic pregnant women: Development, implementation, lessons learned and future applications. (2015) Artificial sweeteners are not the answer to childhood obesity. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. g. (2014) Study design and protocol for a theory-based behavioral intervention focusing on maintenance of weight loss: The Maintenance After Initiation of Nutrition TrAINing (MAINTAIN) study. Sievenpiper, J. Foundations of Care: Education, Nutrition, Physical Activity, Smoking Cessation, Psychosocial Care, and Immunization. 3% for cholesterol and 2. The relationships between changes in lifestyle factors and weight change were evaluated at 4-year intervals, with multivariable adjustments made for age, baseline body-mass index for each period, and all lifestyle factors simultaneously. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Tworoger, Frank B. 2015. 2015. Riccardi, S. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Mashru. V. 23 for the ratio of total cholesterol to HDL cholesterol. (2016) Food and weight gain: time to end our fear of fat. Leung, C. However, in contrast to prevalent behaviors, changes in these behaviors were generally not strongly correlated (r As is the case with any biologic finding or medical intervention, our results represent the average population effect, and intraindividual variations exist. 2016. The Effect of Acai (Euterpe spp. (2016) Effects of a Low-carbohydrate, High-fat Diet. Reynolds, T. Dietary evaluation and attenuation of relative risk: multiple comparisons between blood and urinary biomarkers, food frequency, and 24-hour recall questionnaires: the DEARR study. CrossRef 119 R. Overweight and Obesity: Prevention and Weight Management. C. M. CrossRef 93 Stanley Schwartz, Mary Herman. (2015) Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Hu. (2014) Adult Weight Loss Diets. The criteria for eligibility were an age of 40 to 65 years and a body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) of at least 27, or the presence of type 2 diabetes (according to the American Diabetes Association criteria 18 ) or coronary heart disease, regardless of age and BMI. Ferns, V. Ceddia. g. We used SPSS software, version 15, and Stata software, version 9, for the statistical analysis. A habitual energy imbalance of about 50 to 100 kcal per day may be sufficient to cause the gradual weight gain seen in most persons. As for lifestyle behaviors, each was measured with some degree of error, which, if random, would underestimate their true relationships with weight change. (2016) Med Diet 4. Conclusions Mediterranean and low-carbohydrate diets may be effective alternatives to low-fat diets. CrossRef 95 Tian Hu, Lu Yao, Kristi Reynolds, Paul Whelton, Tianhua Niu, Shengxu Li, Jiang He, Lydia Bazzano. Weight-loss trials 1-3 have typically enrolled obese or overweight persons who attempted substantial short-term weight loss on specialized diets, thus limiting the generalizability of the findings to nonobese populations and to the factors that determine long-term, gradual weight gain. Hanna. Media in This Article Figure 1 Relationships between Changes in Food and Beverage Consumption and Weight Changes Every 4 Years, According to Study Cohort. Adobe Flash Player is required to view this feature. Daniel, A. Tucker, P. Adobe Flash Player is required to view this feature. CrossRef 83 Amanda Chaney. Adobe Flash Player is required to view this feature. The changes we observed in levels of adiponectin and leptin, 30 which were consistent in all groups, reflect loss of weight. The explanatory variables were age, sex, time point, and diet group. 2016. CrossRef 73 Choong Hee Kim, Jun Sung Moon. Rana, Loki Natarajan. Angelopoulos. Impact of Dietary Proteins on Energy Balance, Insulin Sensitivity and Glucose Homeostasis. Swithers. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. However, we believe that similar strategies to maintain adherence could be applied elsewhere. Blood pressure was measured every 3 months with the use of an automated system (Datascop Acutor 4) after 5 minutes of rest. (2014) Food Addiction: An Evolving Nonlinear Science. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adaptation of international nutrition databases and data-entry system tools to a specific population. CrossRef 173 P Mirmiran, Z Bahadoran, N Moslehi, S Bastan, F Azizi. Dodson, Lin Yang, Deepti Adlakha, Ross C. (2017) Modelling body weight, dieting and obesity traps. Harlan. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Methods Eligibility and Study Design We conducted the trial between July 2005 and June 2007 in Dimona, Israel, in a workplace at a research center with an on-site medical clinic. 2015. With the use of a wall-mounted stadiometer, height was measured to the nearest millimeter at baseline for determination of BMI. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. A prospective study of alcohol intake and change in body weight among US adults. J. L. CrossRef 15 M. Colditz, Kenneth R. 31 lb, P As compared with persons who never smoked, those who had quit smoking within the previous 4 years had a weight gain of 5. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Poti. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Annals of Epidemiology 26:10, 698-703. The dietitians met with their groups in weeks 1, 3, 5, and 7 and thereafter at 6-week intervals, for a total of 18 sessions of 90 minutes each. Our results suggest that health care professionals might consider more than one dietary approach, according to individual preferences and metabolic needs, as long as the effort is sustained. CrossRef 106 Gail C Rampersaud. L. CrossRef 133 Mary E. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adult weight change and risk of postmenopausal breast cancer. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Extracellular vesicles: Pharmacological modulators of the peripheral and central signals governing obesity. CrossRef 108 Carlo C DiClemente, Janine C Delahanty, Stephen W Havas, Onna R Van Orden. 57,58 This means that unintended weight gain occurs easily but also that modest, sustained changes in lifestyle could mitigate or reverse such an energy imbalance. (2016) Dietary Protein Intake and Risk of Type 2 Diabetes in US Men and Women. Azagury, Claude Pichard. Alcohol intake and 8-year weight gain in women: a prospective study. Physica A: Statistical Mechanics and its Applications 468, 139-146. Journal of the Academy of Nutrition and Dietetics 116:1, 129-147. CrossRef 4 Bruce Gardner, Fahad Pervez. Mediterranean Diet The moderate-fat, restricted-calorie, Mediterranean diet was rich in vegetables and low in red meat, with poultry and fish replacing beef and lamb. The influence of food portion size and energy density on energy intake: implications for weight management. (2016) Adult Intake of Minimally Processed Fruits and Vegetables: Associations with Cardiometabolic Disease Risk Factors. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. Smith, Robert Ratner. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Smith, Terry Dwyer, Alison J. gov number, NCT00160108. Buniak, Louis J. g. CrossRef 22 Mette Kristensen, Xavier Pelletier, Alastair Ross, Frank Thielecke. Alfredo Martinez, Santiago Navas-Carretero, Wim H. 15 In controlled interventions, decreased television watching reduced weight gain in children, 16,17 an effect that was mediated more by improvements in dietary habits than by a change in physical activity. (2016) Short- and Long-term weight changes among United States veterans with diffuse large B-cell lymphoma treated with CHOP chemotherapy. Fong, J. No other potential conflict of interest relevant to this article was reported. Au-Yeung, A. CrossRef 141 Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi. (2016) Genetic variation of fasting glucose and changes in glycemia in response to 2-year weight-loss diet intervention: the POUNDS LOST trial. Cavallari. E. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 128 Catherine J Metzgar, Sharon M Nickols-Richardson. (2015) Energy expenditure and muscular activation patterns through active sitting on compliant surfaces. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Obesity treatment by very low-calorie-ketogenic diet at two years: reduction in visceral fat and on the burden of disease. Bennett. P ). 26 At baseline and at 6, 12, and 24 months of follow-up, the questionnaires were self-administered electronically through the workplace intranet. Adobe Flash Player is required to view this feature. Total energy intake, biologic factors (e. We observed two phases of weight change: initial weight loss and weight maintenance. Ferrer, William M. A. Jenkins. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Tobias, An Pan, Frank B. 14 lb per 4-year period). Lindeman. 6% at 2 years. (2016) Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. Walter, Laura Yannai. 21 for triglycerides, 0. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. The Role of Nutrition and Lifestyle in the Prevention and Treatment of Cardiovascular Disease. Starck, Cristina Flores, Manuela Martins Green, Qinghua Sun. To statistically evaluate the changes in weight measurements over time, generalized estimating equations were used, with the low-fat group as the reference group. Adobe Flash Player is required to view this feature. CrossRef 158 Lesley Wood, Russell Jago, Simon J. CrossRef 162 Megan L Gow, Mandy Ho, Tracy L Burrows, Louise A Baur, Laura Stewart, Melinda J Hutchesson, Chris T Cowell, Clare E Collins, Sarah P Garnett. CrossRef 96 Huibiao Quan, Huachuan Zhang, Weiping Wei, Tuanyu Fang. 2016. Many prior studies of television watching and obesity have been cross-sectional, limiting the ability to make inferences about which came first. Menendez, Jorge Joven. (ClinicalTrials. Liquid and solid meal replacement products differentially affect postprandial appetite and food intake in older adults. Closing the energy gap to prevent weight gain in China. Gene-Diet Interaction and Weight Management. CrossRef 13 J. Krauss, Daan Kromhout, David J. CrossRef 130 Fernando Lizcano, Diana Vargas. Obviously, such foods provide calories and cannot violate thermodynamic laws. CrossRef 121 Alexander G. Willett, Qi Sun, Frank B. Several dietary metrics that are currently emphasized, such as fat content, energy density, and added sugars, would not have reliably identified the dietary factors that we found to be associated with long-term weight gain. The participants were randomly assigned within strata of sex, age (below or above the median), BMI (below or above the median), history of coronary heart disease (yes or no), history of type 2 diabetes (yes or no), and current use of statins (none, The members of each of the three diet groups were assigned to subgroups of 17 to 19 participants, with six subgroups for each group. Ho, L.


The changes were significant (P Liver-Function Tests Changes in bilirubin, alkaline phosphatase, and alanine aminotransferase levels were similar among the diet groups. CrossRef 98 Lu Qi. Dahl, Maria L. The explanatory variables were age, sex, time point, and diet group. S. 0: the Mediterranean diet with four sustainable benefits. g. Adobe Flash Player is required to view this feature. To statistically evaluate the changes in weight measurements over time, generalized estimating equations were used, with the low-fat group as the reference group. 5 percentiles to minimize the influence of outliers, or as indicator variables for categorical behaviors (e. Six times during the 2-year intervention, another dietitian conducted 10-to-15-minute motivational telephone calls with participants who were having difficulty adhering to the diets and gave a summary of each call to the group dietitian. A. Selection of food items for inclusion in a newly developed food-frequency questionnaire. Adobe Flash Player is required to view this feature. CrossRef 38 T Wang, T Huang, Y Zheng, J Rood, G A Bray, F M Sacks, L Qi. 54 Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion. CrossRef 88 Javier Perona. (2015) The effect of three different ad libitum diets for weight loss maintenance: a randomized 18-month trial. g. American Journal of Respiratory Cell and Molecular Biology 54:5, 609-617. The more favorable effects on lipids (with the low-carbohydrate diet) and on glycemic control (with the Mediterranean diet) suggest that personal preferences and metabolic considerations might inform individualized tailoring of dietary interventions. G. (2015) The 2012 University of Cape Town Faculty of Health Sciences centenary debate. The model of intervention with the use of dietary group sessions, spousal support, food labels, and monthly weighing in the workplace within the framework of a health promotion campaign might yield weight reduction and long-term health benefits. Ofra Paz-Tal, Assaf Rudich, Amir Tirosh, Ilana Harman-Bohem, and Ronit Andvelt), and the members of the DIRECT steering committee (Prof. CrossRef 105 Kevin Jon Williams, Xiangdong Wu. Effect of a Mediterranean-style diet on endothelial dysfunction and markers of vascular inflammation in the metabolic syndrome: a randomized trial. Outcomes The participants were weighed without shoes to the nearest 0. International Journal of Environmental Research and Public Health 13:1, 28. (2016) Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. 2016. Halladay, Alice S. 17 lb ( Table 3 ). Fulgoni. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Several lifestyle behaviors may influence whether or not a person can maintain energy balance over the long term. 2015. 93 lb across quintiles of dietary change). CrossRef 11 Yoshio Tokuchi, Yayoi Nakamura, Yusuke Munekata, Fumio Tokuchi. Poutahidis. Increases in time spent watching television (per hour per day) were independently associated with weight gain (0. In general, changes in the consumption of refined or processed foods and liquid carbohydrates or alcohol were positively associated with weight gain, whereas changes in the consumption of unprocessed foods such as whole grains, fruits, nuts, and vegetables were inversely associated with weight gain. 49 for high-sensitivity C-reactive protein, 0. Champagne. Rozza, F. CrossRef 64 Norio Tada. (2015) Long-term Adherence to Healthy Dietary Guidelines and Chronic Inflammation in the Prospective Whitehall II Study. CrossRef 122 Antonio Paoli, Gerardo Bosco. Adobe Flash Player is required to view this feature. Barazzoni, N. , blood pressure), and medications were not included as covariables because such factors could be mediators (in causal pathways) or direct correlates of mediators of the effects of lifestyle on weight gain. Clark, Sjaan R. Willett, Frank B. Nash, Jochen Kressler. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Determinants and Consequences of Obesity. ) in the treatment of overweight and obese patients with type 2 diabetes: A double-blind randomized controlled trial. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Seguin, Kenneth K. Consumption of monounsaturated fats is thought to improve insulin sensitivity, 14,31,32 an effect that may explain the favorable effect of the Mediterranean diet on glucose and insulin levels. Bischoff, Y. (2016) Food preferences and weight change during low-fat and low-carbohydrate diets. A randomized trial of a low-carbohydrate diet for obesity. (2016) Personality traits and body weight: Evidence using sibling comparisons. Twenty participants initiated blood-pressure treatment, five initiated medications for glycemic control, and one reduced the dosage of medications for glycemic control. Obesity and Ovarian Cancer. Journal of Cardiopulmonary Rehabilitation and Prevention 35, 81-92. A. Statistical Analysis For weight loss, the prespecified primary aim was the change in weight from baseline to 24 months. Viguiliouk, L. Peters, Jimikaye Beck. Phillips, C. CrossRef 72 Ji Soo Oh, Hyesook Kim, Ki Nam Kim, Namsoo Chang. Salvatore, V. Eales. CrossRef 165 Maria Laura da Costa Louzada, Larissa Galastri Baraldi, Euridice Martinez Steele, Ana Paula Bortoletto Martins, Daniela Silva Canella, Jean-Claude Moubarac, Renata Bertazzi Levy, Geoffrey Cannon, Ashkan Afshin, Fumiaki Imamura, Dariush Mozaffarian, Carlos Augusto Monteiro. 01129. Chowen. CrossRef 32 Rizliya Visvanathan, Chathuni Jayathilake, Barana Chaminda Jayawardana, Ruvini Liyanage. Ayala Canfi), the workplace cafeteria managers (Naftali Tal, Yitzchak Chen, Yair Tubul, and the Norcate Company), the adviser researchers (Drs. Critical Reviews in Food Science and Nutrition, 00-00. Dietary intake in the Diabetes Prevention Program cohort: baseline and 1-year post randomization. (2016) The efficacy of nudge theory strategies in influencing adult dietary behaviour: a systematic review and meta-analysis. Franks, Kaumudi Joshipura, Jeremy Pomeroy, Cristina Palacios. (2016) A randomized controlled trial to determine the efficacy of a high carbohydrate and high protein ready-to-eat food product for weight loss. A. Baker. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Frazier-Wood, J. (2016) Nutrition in Type 2 Diabetes and the Metabolic Syndrome. 05. Wareham. To convert values for cholesterol to millimoles per liter, multiply by 0. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. M. (2016) Exercise-Mediated Effects on White and Brown Adipose Tissue Plasticity and Metabolism. (2016) Development of a Mediterranean diet score adapted to Japan and its relation to obesity risk. Beck, Marijka J. These results suggest that future policies and research efforts to prevent obesity should consider food structure and processing as potentially relevant dietary metrics. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Adobe Flash Player is required to view this feature. Kromhout, L. (2016) The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation. Klein, Susan Persky. Panel A shows the results for serum high-density lipoprotein (HDL) cholesterol, Panel B for serum triglycerides, Panel C for serum low-density lipoprotein (LDL) cholesterol, and Panel D for the ratio of total cholesterol to HDL cholesterol. Milk products, insulin resistance syndrome and type 2 diabetes. Calder. CrossRef 29 Anneliese Arno, Steve Thomas. Singer, L. (2015) Effects of Mediterranean-style diet on glycemic control, weight loss and cardiovascular risk factors among type 2 diabetes individuals: a meta-analysis. (2016) Sweeteners and health: findings from recent research and their impact on obesity and related metabolic conditions. (2016) Relationship between fruit and fish intakes and cardiovascular disease risk factors in Korean women with type 2 diabetes mellitus: Based on the 4th and 5th Korea National Health and Nutrition Examination Surveys. 31 lb per hour per day). P. Chapter 3 Health Aspects of Mono- and Disaccharides. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. To study changes over time and the effects of sex or the presence or absence of diabetes, we added appropriate interaction terms. (2015) Biologic Responses to Weight Loss and Weight Regain: Report From an American Diabetes Association Research Symposium. A. CrossRef 123 R Akilen, N Deljoomanesh, S Hunschede, C E Smith, M U Arshad, R Kubant, G H Anderson. We also evaluated nuts, 100%-fruit juices, diet sodas, and subtypes of dairy products and potatoes. (2016) Fast Food Pattern and Cardiometabolic Disorders: A Review of Current Studies. LDL cholesterol levels ( Figure 3C ) did not change significantly within groups, and there were no significant differences between the groups in the amount of change. A dietitian worked closely with the kitchen staff to adjust specific food items to specific diet groups. Adobe Flash Player is required to view this feature. Parhofer. Adobe Flash Player is required to view this feature. A randomized trial comparing a very low carbohydrate diet and a calorie-restricted low fat diet on body weight and cardiovascular risk factors in healthy women. CrossRef 120 Lionel Opie. Comelli, C. CrossRef 86 Pamela Dyson. Nutrition. Stewart. 2015. Sensitivity analyses were performed to evaluate absolute physical activity levels at the start of each 4-year period rather than changes during the period, data among participants who never smoked, and data stratified according to age and baseline body-mass index. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Initiation of smoking was not associated with weight change, but evaluation of this category was limited by its rarity in these populations (accounting for Table 3 ). Sbraccia, P. (2014) Personalized weight loss strategies—the role of macronutrient distribution. g. Wes Schilling, Patrick Gerard. CrossRef 8 Lindsey Smith Taillie, Jennifer M. CrossRef 114 Tao Huang, Jinyan Huang, Qibin Qi, Yanping Li, George A. Causes of Severe Obesity: Genes to Environment. Merino, G. Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. The Mediterranean Diet Versus a Low-Fat Diet, Cardiovascular Risk Factors, and Obesity. Vargas. Brownson. CrossRef 106 Anna Arnoldi, Chiara Zanoni, Carmen Lammi, Giovanna Boschin. The P values for the comparison between the low-fat group and the Mediterranean-diet group are 0. C. (2016) Adherence to the Mediterranean dietary pattern and BMI change among US adolescents. Cohort members who were excluded because of missing data had characteristics similar to those included in the analysis (data not shown). Pinto, C. This trial also suggests a model that might be applied more broadly in the workplace. 2015. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Genetic predictors of obesity development. women and men who were free of chronic diseases and not obese at baseline, with follow-up periods from 1986 to 2006, 1991 to 2003, and 1986 to 2006. Eat, drink, and be healthy: The Harvard Medical School guide to healthy eating. CrossRef 27 Shalini Vaid, Lynae Hanks, Russell Griffin, Ambika P. Adobe Flash Player is required to view this feature. Association between leisure time physical activity and 10-year body mass change among working-aged men and women. 01 for the ratio of total cholesterol to HDL cholesterol. Camire. (2016) Diet modeling in older Americans: The impact of increasing plant-based foods or dairy products on protein intake. Brinton. Compendium of physical activities: an update of activity codes and MET intensities. The data from the few participants with diabetes are of interest, but we recognize that measurement of HOMA-IR is not an optimal method to assess insulin resistance among persons with diabetes. (2014) Effects of Dietary Macronutrients on Plasma Lipid Levels and the Consequence for Cardiovascular Disease. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 2016. Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals. Cherniack, Jennifer M. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. This possible sex-specific difference should be explored in further studies. CrossRef 158 Lu Qi. Adobe Flash Player is required to view this feature. Weight Changes Height and weight were assessed by questionnaire at enrollment, and weight was requested on each follow-up questionnaire. CrossRef 94 Karen R Siegel, Kai McKeever Bullard, Mohammed K Ali, Aryeh D Stein, Henry S Kahn, Neil K Mehta, Amy Webb Girard, KM Narayan, Giuseppina Imperatore. Brunborg, B. (2016) Worsening Dietary and Physical Activity Behaviors Do Not Readily Explain Why Smokers Gain Weight After Cessation: A Cohort Study in Young Adults. e. Increasing prevalence of overweight among US adults: the National Health and Nutrition Examination Surveys, 1960 to 1991. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Navarre, Roshani Shakya, Hanjo Hellmann. Josse, A. (2015) Effect of Changes in Food Groups Intake on Magnesium, Zinc, Copper, and Selenium Serum Levels During 2 Years of Dietary Intervention. Adobe Flash Player is required to view this feature. Minnis. (2015) Effect of High Fat Diets on Body Mass, Oleylethanolamide Plasma Levels and Oxytocin Expression in Growing Rats. The P value is less than 0. Adobe Flash Player is required to view this feature. CrossRef 51 Hermann Toplak, Friedrich Hoppichler, Thomas C. Batterham. Differences in weight gain seen for specific foods and beverages could relate to varying portion sizes, patterns of eating, effects on satiety, or displacement of other foods or beverages. Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. Abbasi, K. 2017. CrossRef 107 Snehal M Pinto Pereira, Karin van Veldhoven, Leah Li, Chris Power. (2016) The Potential Role of Yogurt in Weight Management and Prevention of Type 2 Diabetes. Sepa-Kishi, Rolando B. CrossRef 21 Mariana Souza Lopes, Luana Caroline dos Santos, Aline Cristine Souza Lopes, Mery Natali Silva Abreu. (2016) Five-Factor Model Personality Traits and the Objective and Subjective Experience of Body Weight. Journal of Diabetes and its Complications 30:4, 686-692. Hu. Each food item was provided with a label showing the number of calories and the number of grams of carbohydrates, fat, and saturated fat, according to an analysis based on the Israeli nutritional database. Glycaemic response to foods: impact on satiety and long-term weight regulation. (2015) Our landscapes, our livestock, ourselves: Restoring broken linkages among plants, herbivores, and humans with diets that nourish and satiate. Dietary Fiber, Soluble and Insoluble, Carbohydrates, Fructose, and Lipids. Steffen, D. , both average portion sizes and biologic effects). Gerofi, L. Venn. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Yogurt and Health. (2016) No clinically meaningful weight changes in a young co