Nan yu tea weight loss
Le Barz, N. CrossRef 132 Sam Gutterman. The primary outcome was the change in body weight after 2 years in two-by-two factorial comparisons of low fat versus high fat and average protein versus high protein and in the comparison of highest and lowest carbohydrate content. Gac, V. 55 Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Jacques. CrossRef 103 R. 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. 31 lb per hour per day). Ouyang, S. An index that may detect childhood overweight and obesity. Journal of the Academy of Nutrition and Dietetics 116:7, 1156-1162. Wood, Tess Gilbert, Linda Toms Barker, Alexandra M. 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. Foods that contained higher amounts of refined carbohydrates — whether these were added (e. CrossRef 76 Wendy E Barrington, Emily White. 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 ). Article Activity 537 articles have cited this article Article Because efforts to lose weight pose tremendous challenges, primary prevention of weight gain is a global priority. Biolo, S. Journal of the American College of Cardiology 66:14, 1590-1614. , 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. Smith, Terry Dwyer, Alison J. (2016) No clinically meaningful weight changes in a young cohort following total joint arthroplasty at 3-year follow-up. 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. CrossRef 32 James Rippe, Theodore Angelopoulos. Charakida. Any missing lifestyle data during any follow-up period were coded as a missing indicator category for categorical variables (e. (2016) Cardiovascular Risk in Midlife African American Women Participating in a Lifestyle Physical Activity Program. (2016) Fast Food Pattern and Cardiometabolic Disorders: A Review of Current Studies. Limited short-term studies of dairy foods and satiety or weight change have had inconsistent results. Houchins, C. Roblin, M. 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. CrossRef 41 Ming Ding, Yang Hu, Joel Schwartz, Woon-Puay Koh, Jian-Min Yuan, Howard D. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. CrossRef 12 Anneliese Arno, Steve Thomas. CrossRef 123 Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi. The influence of food portion size and energy density on energy intake: implications for weight management. (2016) Discretionary food and beverage consumption and its association with demographic characteristics, weight status, and fruit and vegetable intakes in Australian adults. We investigated the relationship between multiple lifestyle changes, both independently and jointly, and long-term weight gain in nonobese women and men participating in three separate, prospective studies. 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. CrossRef 139 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. E. Mozaffarian. Methods We performed prospective investigations involving three separate cohorts that included 120,877 U. Tucker, Keimari Mendez, Maribel Campos, Walter Willett, Marytere Melendez, Mathew W. Increases in time spent watching television (per hour per day) were independently associated with weight gain (0. CrossRef 75 N Martin-Calvo, J E Chavarro, J Falbe, F B Hu, A E Field. CrossRef 19 Yohannes Adama Melaku, Awoke Misganaw Temesgen, Amare Deribew, Gizachew Assefa Tessema, Kebede Deribe, Berhe W. Day. Tworoger, Frank B. Clear patterns were also not seen in the relationship between weight change and the energy density of dietary components (e. W. (2015) Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Total energy intake, biologic factors (e. (2016) Obesity, Mortality, and the Obesity Paradox. Pomeranz, Jamie F. (2016) Is consuming yoghurt associated with weight management outcomes. (2016) The effects of potatoes and other carbohydrate side dishes consumed with meat on food intake, glycemia and satiety response in children. Schoeny, Louis Fogg, JoEllen Wilbur. However, weight gain often occurs gradually over decades (about 1 lb per year), making it difficult for most people to perceive the specific causes. Surgery for Obesity and Related Diseases 12:7, 1305-1311. USDA national nutrient database for standard reference. Guess. Sutin, Antonio Terracciano. (2016) Mortality outcomes associated with intake of fast-food items and sugar-sweetened drinks among older adults in the Vitamins and Lifestyle (VITAL) study. (2016) Current paradigms in the etiology of obesity. McCarthy. 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. 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. CrossRef 168 Yang Hu, Yan Song, Adrian A. (2016) Diet Quality of Breast Cancer Survivors after a Six-Month Weight Management Intervention: Improvements and Association with Weight Loss. (2016) Longterm clinical and radiological follow-up of living liver donors. (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. Closing the energy gap to prevent weight gain in China. Mack. Frost. (2016) Macronutrient Composition of Menu Offerings in Fast Food Restaurants in the U. Bornhorst, David J. CrossRef 198 Yong Zhu, Huifen Wang, James H. Cohort members who were excluded because of missing data had characteristics similar to those included in the analysis (data not shown). Forouzanfar. M. Navarre, Roshani Shakya, Hanjo Hellmann. (2016) Combined early and adult life risk factor associations for mid-life obesity in a prospective birth cohort: assessing potential public health impact. The Molecular Nutrition of Amino Acids and Proteins, 241-264. Meyer, Annie Green Howard, Janne Boone-Heinonen, Barry M. Whole Grains and Metabolic Syndrome. S. CrossRef 185 Joseph F Merola, Shaowei Wu, Jiali Han, Hyon K Choi, Abrar A Qureshi. Participants had to be 30 to 70 years of age and have a body-mass index (the weight in kilograms divided by the square of the height in meters) of 25 to 40. H. (2016) Maintaining a Healthy BMI. (2016) Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013. (2016) Paradoxical Effects of Fruit on Obesity. CrossRef 114 Fernando Lizcano, Diana Vargas. All results were also similar when we evaluated relative (percent) weight changes rather than absolute weight changes (not shown). CrossRef 8 Yu Guan, Honghai Zhang, Xiaodong Gao, Shuai Shang, Xiaoyang Wu, Jun Chen, Wei Zhang, Weihua Zhang, Mingsheng Jiang, Baohong Zhang, Peng Chen. Poutahidis. (2016) Food and weight gain: time to end our fear of fat. Food Funct. 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. (2016) Imbalanced insulin action in chronic over nutrition: Clinical harm, molecular mechanisms, and a way forward. (2016) Changes in PYY and gastric emptying across the phases of the menstrual cycle and the influence of the ovarian hormones. Barazzoni, N. (2016) The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation. L. (2016) Yogurt, diet quality and lifestyle factors. Mediterranean Journal of Nutrition and Metabolism 8:2, 119-129. Short sleep duration and weight gain: a systematic review. Francine Laden for comments during the preparation of an early version of the manuscript, and Dr. International Journal of Food Sciences and Nutrition 66:6, 623-632. Amare, Oumer Seid, Kedir Endris, Abiy Hiruye, Amare Worku, Robert Adams, Anne W. Women and smoking: a report of the Surgeon General. ) Full Text of Discussion. Estruch. 05. Wiss, Kristen Criscitelli, Mark Gold, Nicole Avena. Wolfson, Sara N. Fifteen-year longitudinal trends in walking patterns and their impact on weight change. Tappy, B. Hu. Soft drinks and weight gain: how strong is the link. Other lifestyle factors were also independently associated with weight change (P 8 hours of sleep), and television watching (0. (2016) Higher Diet Quality in Adolescence and Dietary Improvements Are Related to Less Weight Gain During the Transition From Adolescence to Adulthood. Journal of Diabetes and its Complications 30:4, 686-692. Association between leisure time physical activity and 10-year body mass change among working-aged men and women. These results suggest that future policies and research efforts to prevent obesity should consider food structure and processing as potentially relevant dietary metrics. 93 lb across quintiles of dietary change). (2016) Enhanced susceptibility of obese mice to glycidamide-induced sperm chromatin damage without increased oxidative stress. Prospective Cohorts. L. Annals of Epidemiology 26:10, 698-703. CrossRef 90 Cinthya Wibisono, Yasmine Probst, Elizabeth Neale, Linda Tapsell. Total energy intake is not well estimated from dietary questionnaires, nor does it reflect energy balance, which is necessarily codetermined by energy expenditure. International Journal of Environmental Research and Public Health 13:11, 1112. Skim milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. (2016) Adherence to the Mediterranean dietary pattern and BMI change among US adolescents. g. (2016) Obesity Statistics. Morrison, M. Fulgoni. Ceddia. Hu. (2016) Change in active transportation and weight gain in pregnancy. (2015) Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management. Participants were followed with the use of biennial validated questionnaires concerning medical history, lifestyle, and health practices. (2015) A novel dietary strategy to increase colonic propionate production in humans and improve appetite regulation and bodyweight management. Allison, J. Seguin, Kenneth K. S. (2015) Behavioral characterization of a model of differential susceptibility to obesity induced by standard and personalized cafeteria diet feeding. Leo, J. 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. CrossRef 195 S. Demmer, V. Cifelli, E. CrossRef 42 N. Venn. Development of phenolic compounds encapsulation techniques as a major challenge for food industry and for health and nutrition fields. 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. (2015) Impact of interventions to reduce sugar-sweetened beverage intake in children and adults: a protocol for a systematic review and meta-analysis. CrossRef 166 J. Lifestyle changes were self-selected, and residual confounding from other lifestyle behaviors is possible. (2015) Laboratory Determined Sugar Content and Composition of Commercial Infant Formulas, Baby Foods and Common Grocery Items Targeted to Children. , age, body-mass index, and physical activity). International Journal of Food Sciences and Nutrition 67:3, 232-238. (2016) Five-Factor Model Personality Traits and the Objective and Subjective Experience of Body Weight. Shah, V. Findings for all lifestyle factors were generally similar in analyses stratified according to age or baseline body-mass index (the weight in kilograms divided by the square of the height in meters) ( Supplementary Appendix ). CrossRef 190 Adela Hruby, Frank B. CrossRef 91 Gail C Rampersaud. (2015) Dietary patterns in India and their association with obesity and central obesity. Citing Articles 1 EunSol Her, Soobin Seo. CrossRef 110 Patrick Mullie, P Clarys. (2016) Nutrition and Health Disparities: The Role of Dairy in Improving Minority Health Outcomes. 2017. Rosen, Julie K. E. (2016) Exploring associations between perceived home and work neighborhood environments, diet behaviors, and obesity: Results from a survey of employed adults in Missouri. (2015) Feasibility of Recruiting Families into a Heart Disease Prevention Program Based on Dietary Patterns. Camire. Clark, Sjaan R. CrossRef 67 Tetsuro Tsujimoto, Hiroshi Kajio, Takehiro Sugiyama. (2016) Quality by Design Empowered Development and Optimisation of Time-Controlled Pulsatile Release Platform Formulation Employing Compression Coating Technology. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. Kadouh, Andres Acosta. Resch, Y. (2016) The Cost of Increasing Physical Activity and Maintaining Weight for Midlife Sedentary African American Women. Bleich. Perez-Leighton. CrossRef 128 John Cawley, Davide Dragone, Stephanie Von Hinke Kessler Scholder. Budoff, A. The project staff of the National Heart, Lung, and Blood Institute also participated in the development of the protocol, monitoring of progress, interpretation of results, and critical review of the manuscript. Torstveit, Hilde Lohne-Seiler, Elling Bere. (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. CrossRef 6 Goreti Botelho, Sara Canas, Jorge Lameiras. (2015) The Epidemiology of Obesity: A Big Picture. Physica A: Statistical Mechanics and its Applications 468, 139-146. Hu, Qi Sun. ) Full Text of Discussion. P. CrossRef 137 Jayesh Kamath, Galina Prpich, Sarah Jillani. 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. Primary Care: Clinics in Office Practice 43:1, 121-135. 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. CrossRef 96 J M Rippe, L Tappy. g. (2015) Public support for a sugar-sweetened beverage tax and pro-tax messages in a Mid-Atlantic US state. A. Yogurt consumption was also associated with less weight gain in all 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. Beck, Marijka J. The results were similar across the three separate cohorts, increasing our confidence in the validity and generalizability of the findings. Weight gain as a risk factor for clinical diabetes mellitus in women. CrossRef 28 Youfa Wang, Liang Wang, Hong Xue, Weidong Qu. 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. 17 lb ( Table 3 ). Multivariable models were used to adjust for age, baseline body-mass index in each 4-year period, and all lifestyle factors simultaneously. (2016) A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity. Conclusions Reduced-calorie diets result in clinically meaningful weight loss regardless of which macronutrients they emphasize. Prospective weight change and colon cancer risk in male US health professionals. Obviously, such foods provide calories and cannot violate thermodynamic laws. CrossRef 186 Angelo Tremblay, Caroline Doyon, Marina Sanchez. CrossRef 169 Guofang Huang, Ahmed Khwaja, K. Boucher, E. Swinburn, Steven L. Although dietary questionnaires specified portion sizes, residual, unmeasured differences in portion sizes among participants might account for additional independent effects on energy balance. 2016. (2015) Position of the Academy of Nutrition and Dietetics: Health Implications of Dietary Fiber. (2016) Exercise-Mediated Effects on White and Brown Adipose Tissue Plasticity and Metabolism. (2016) Scientific evidence and daily food for a better life: Milan, 19 June 2015. g. Subsequent weight gain for former smokers was small (0. 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. Appetite. g. Klein, Susan Persky. CrossRef 116 Mary E. 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. CrossRef 151 Gregory A Hand, Robin P Shook, James O Hill, Peter R Giacobbi, Steven N Blair. Beaudoin, A. (2015) Job-loss and weight gain in British adults: Evidence from two longitudinal studies. Alcohol consumption, weight gain, and risk of becoming overweight in middle-aged and older women. (2015) Association of Proton Pump Inhibitor (PPI) Use with Energy Intake, Physical Activity, and Weight Gain. CrossRef 43 Satya Sharma, Hea Chung, Hyeon Kim, Seong Hong. Addison, James A. Vargas. Diet and Lifestyle Changes Although the mean changes in lifestyle in the overall study population were small, the between-individual changes were large ( Table 1 ). International Journal of Environmental Research and Public Health 13:1, 28. Willett, Frank B. (2016) Healthful dietary patterns and long-term weight change among women with a history of gestational diabetes mellitus. P. Many prior studies of television watching and obesity have been cross-sectional, limiting the ability to make inferences about which came first. 5 percentiles to minimize the influence of outliers, or as indicator variables for categorical behaviors (e. (2015) A Prospective Investigation of the Association Between Urinary Excretion of Dietary Lignan Metabolites and Weight Change in US Women. Conversely, the ranges of dietary intakes were broad and overlapped with national estimates. , beverages of low energy density were strongly associated with weight gain). CrossRef 174 Andrew B. Brinton. E. 14 lb per 4-year period). Journal of the Academy of Nutrition and Dietetics 116:9, 1387-1394. (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. Franks, Kaumudi Joshipura, Jeremy Pomeroy, Cristina Palacios. Association between dairy food consumption and weight change over 9 y in 19,352 perimenopausal women. CrossRef 115 Ashley Harris, Nymisha Chilukuri, Meredith West, Janice Henderson, Shari Lawson, Sarah Polk, David Levine, Wendy L. (2016) Estimating individual optimal sleep duration and potential sleep debt. (2016) The contribution of subsidized food commodities to total energy intake among US adults. Claire Wang, Jennifer L. Television viewing behaviour and associations with food habits in different countries. CrossRef 164 Susan E. A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Swithers. org. Siscovick, K. (2015) Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Reuter, R. Thorens, A. 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. A. Kanaly, V. CrossRef 196 K. CrossRef 175 Antonella Agodi, Martina Barchitta, Annalisa Quattrocchi, Andrea Maugeri, Carolina Canto, Anna Elisa Marchese, Manlio Vinciguerra. Leisure-time physical activity and regular walking or cycling to work are associated with adiposity and 5 y weight gain in middle-aged men: the PRIME Study. Giovannucci, Alicja Wolk. CrossRef 98 Kristy Breuhl Smith, Michael Seth Smith. S. Overall, increases in alcohol use (per drink per day) were positively associated with weight change (0. Ramirez, J. CrossRef 194 Canqing Yu, Zumin Shi, Jun Lv, Huaidong Du, Lu Qi, Yu Guo, Zheng Bian, Liang Chang, Xuefeng Tang, Qilian Jiang, Huaiyi Mu, Dongxia Pan, Junshi Chen, Zhengming Chen, Liming Li. CrossRef 92 Snehal M Pinto Pereira, Karin van Veldhoven, Leah Li, Chris Power. All these relationships must be mediated by changes in energy intake, energy expenditure, or both. (2015) Artificial sweeteners are not the answer to childhood obesity. (2016) Dietary Protein Intake and Risk of Type 2 Diabetes in US Men and Women. 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 ). Journal of the Academy of Nutrition and Dietetics 115:11, 1861-1870. van Dam, Shelley S. 2010. Trans fatty acids: effects on metabolic syndrome, heart disease and diabetes. 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. 2017. (2016) Nut consumption and age-related disease. CrossRef 11 Marta Campolier, Sangeetha Pariyarath Thondre, Miriam Clegg, Amir Shafat, Ali Mcintosh, Helen Lightowler. CrossRef 25 S Panahi, M A Fernandez, A Marette, A Tremblay. Heimbach. -S. Jenkins, Vasanti Malik, Miguel A. Chui, Valerie Clark, Marilyn A. 54 Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion. Laska, Dianne Neumark-Sztainer. Mitchell, M. e2. (2016) Biology of Beige Adipocyte and Possible Therapy for Type 2 Diabetes and Obesity. CrossRef 138 Elisa J Vargas-Garcia, Charlotte EL Evans, Janet E Cade. Several lifestyle behaviors may influence whether or not a person can maintain energy balance over the long term. Journal of the Royal Army Medical Corps 162:1, 23-29. Peters, Jimikaye Beck. (2016) Obesity-Related Dietary Behaviors among Racially and Ethnically Diverse Pregnant and Postpartum Women. CrossRef 35 Shingo Kitamura, Yasuko Katayose, Kyoko Nakazaki, Yuki Motomura, Kentaro Oba, Ruri Katsunuma, Yuri Terasawa, Minori Enomoto, Yoshiya Moriguchi, Akiko Hida, Kazuo Mishima. Befort. Pinto, C. Gortmaker. 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. (2015) Dietary habits and leisure-time physical activity in relation to adiposity, dyslipidemia, and incident dysglycemia in the pathobiology of prediabetes in a biracial cohort study. (2016) Association between sleep deficiency and cardiometabolic disease: implications for health disparities. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. Media in This Article Figure 1 Relationships between Changes in Food and Beverage Consumption and Weight Changes Every 4 Years, According to Study Cohort. Batterham. A. Venn, P. Forouhi, Nicholas J. CrossRef 161 Anthony Fardet. (2016) Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. CrossRef 29 D K Tobias, C Zhang, J Chavarro, S Olsen, W Bao, A A Bjerregaard, T T Fung, J E Manson, F B Hu. Mashru. Participants Our goal was to recruit 800 overweight and obese subjects (400 at each site), of whom about 40% would be men. Different types of alcohol drinks were also evaluated. Mrowka. (2015) BMI and Healthcare Cost Impact of Eliminating Tax Subsidy for Advertising Unhealthy Food to Youth. (2015) Our landscapes, our livestock, ourselves: Restoring broken linkages among plants, herbivores, and humans with diets that nourish and satiate.
Calcium and dairy intakes in relation to long-term weight gain in US men. Journal of the Science of Food and Agriculture 96:15, 4850-4860. American Journal of Preventive Medicine 49:1, 112-123. C. Bischoff, Y. Zainudiniv, Olga N. Abbasi, K. Energy gain and energy gap in normal-weight children: longitudinal data of the KOPS. Chriqui. (2015) Changes in food choice patterns in a weight loss intervention. 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. Sievenpiper. (2015) The scale of the evidence base on the health effects of conventional yogurt consumption: findings of a scoping review. Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. Erdman, T. C. g. Journal of Human Nutrition and Dietetics 28:5, 452-464. Lindeman. Dairy and weight loss hypothesis: an evaluation of the clinical trials. Impact of Dietary Proteins on Energy Balance, Insulin Sensitivity and Glucose Homeostasis. Bynum. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. No single metric appears to capture these complexities. Glanville, Sam Brown, Raanan Shamir, Hania Szajewska, Jacqualyn F. Liquid and solid meal replacement products differentially affect postprandial appetite and food intake in older adults. The diets consisted of similar foods and met guidelines for cardiovascular health. Figure 2 Relationships between Changes in Diet and Physical Activity and Weight Changes within Each 4-Year Period in the Three Cohorts. Fraker, David C. L. Brunborg, B. CrossRef 187 Ryan Walker, Michael Goran. Hollis, Paul F. Reductions in dietary energy density are associated with weight loss in overweight and obese participants in the PREMIER trial. Causes of Severe Obesity: Genes to Environment. (2015) The associations between yogurt consumption, diet quality, and metabolic profiles in children in the USA. CrossRef 24 Shirin Panahi, Angelo Tremblay. (2015) Newly derived children-based food index. CrossRef 156 Ambika Satija, Frank B Hu, Liza Bowen, Ankalmadugu V Bharathi, Mario Vaz, Dorairaj Prabhakaran, K Srinath Reddy, Yoav Ben-Shlomo, George Davey Smith, Sanjay Kinra, Shah Ebrahim. (2016) Genetic predictors of obesity development. Social factors and television use during meals and snacks is associated with higher BMI among pre-school children. (2015) Global, regional and national consumption of major food groups in 1990 and 2010: a systematic analysis including 266 country-specific nutrition surveys worldwide. 2016. Absolute levels of physical activity, rather than changes in these levels, were not associated with weight change (data not shown). Provenza, Michel Meuret, Pablo Gregorini. (Funded by the National Institutes of Health and others. Stewart. (2016) Diet modeling in older Americans: The impact of increasing plant-based foods or dairy products on protein intake. (2016) The efficacy of nudge theory strategies in influencing adult dietary behaviour: a systematic review and meta-analysis. Tedford, G. (2016) Diet and adipose tissue distributions: The Multi-Ethnic Study of Atherosclerosis. Just, Gnel Gabrielyan. 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. 66 drinks per day for alcohol consumption. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. Eating more or less of any one food or beverage may change the total amount of energy consumed, but the magnitude of associated weight gain varied for specific foods and beverages. Changes in diet and physical activity were independently associated with weight gain ( Figure 2 ). CrossRef 82 Huibiao Quan, Huachuan Zhang, Weiping Wei, Tuanyu Fang. ) 57 Plachta-Danielzik S, Landsberg B, Bosy-Westphal A, Johannsen M, Lange D, Muller MJ. Ding, M. (2017) Health halo effects in sequential food consumption: The moderating roles of health-consciousness and attribute framing. Lifestyle changes were assessed either as continuous variables, with censoring of data at the 0. International Journal of Behavioral Nutrition and Physical Activity 13:1. Panagiotakos, A. American Journal of Preventive Medicine 51:4, e91-e97. (2015) Energy flux: staying in energy balance at a high level is necessary to prevent weight gain for most people. Tousoulis, M. 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. CrossRef 16 Wenpeng You, Maciej Henneberg. (2016) Short- and Long-term weight changes among United States veterans with diffuse large B-cell lymphoma treated with CHOP chemotherapy. (2016) Obesity, diabetes, and length of time in the United States. Microbes and Oxytocin. American Journal of Respiratory Cell and Molecular Biology 54:5, 609-617. 3 metabolic equivalents (METs) per week for physical activity, and 0. (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. Provision of foods differing in energy density affects long-term weight loss. Block. Teske, M. The mean weight gain for all the 4-year periods combined differed among the three cohorts, a finding that may have been related to cohort-specific differences in sex and age at baseline. CrossRef 60 Arne Astrup, Beth Rice Bradley, J. Daniel, A. g. (2016) Dietary intake in people consuming a reduced-carbohydrate diet in the National Diet and Nutrition Survey. (2016) Effects of perceived weight discrimination on willingness to adopt unhealthy behaviours: influence of genomic information. Boirie, T. As for lifestyle behaviors, each was measured with some degree of error, which, if random, would underestimate their true relationships with weight change. Calder. 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. Future studies should evaluate how changes in sleep over time are related to weight gain. Gomersall. CrossRef 38 Eliot A. Alcohol intake and 8-year weight gain in women: a prospective study. Colditz, Kenneth R. W. (2016) Low Calorie Sweetener (LCS) use and energy balance. (2016) Controversies about sugars: results from systematic reviews and meta-analyses on obesity, cardiometabolic disease and diabetes. Krauss, Daan Kromhout, David J. Adult weight change and risk of postmenopausal breast cancer. (2016) The Potential Role of Yogurt in Weight Management and Prevention of Type 2 Diabetes. Brownson. CrossRef 93 A Drewnowski, C D Rehm. Dahl, Maria L. P. CrossRef 70 Angelina Sutin, Eric Robinson, Michael Daly, Antonio Terracciano. (2016) Determinants and Consequences of Obesity. The diets improved lipid-related risk factors and fasting insulin levels. (2016) Sweetened Beverage Consumption and Risk of Biliary Tract and Gallbladder Cancer in a Prospective Study. No other potential conflict of interest relevant to this article was reported. Franke, Frank B. adults, which potentially limits the generalizability of the findings. Marette. 2016. (2016) Impact of Improving Home Environments on Energy Intake and Physical Activity: A Randomized Controlled Trial. CrossRef 111 G. (2015) Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U. Goodlett, Andrew W. Journal of the American College of Nutrition 35:8, 717-731. Television watching increases motivated responding for food and energy intake in children. Figure 2 Mean Changes in Body Weight and Waist Circumference at Various Time Points. 2017. 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. Metz. Ferrer, William M. Gall. (2015) The relationship between sweetened beverage consumption and risk of heart failure in men. 1 servings per day for vegetable consumption, 25. Gudzune, Cheryl A. , both average portion sizes and biologic effects). CrossRef 108 Vittobai Rashika Rangaraj, Kristen L. Ruxton. Strong positive associations with weight change were seen for starches, refined grains, and processed foods. CrossRef 3 Paolo Nicola Barbieri. Sullivan, Christie A. Glycaemic response to foods: impact on satiety and long-term weight regulation. Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies. C. Fermented Foods in Health and Disease Prevention, 305-338. 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) Relation between dietary pattern analysis (principal component analysis) and body mass index: a 5-year follow-up study in a Belgian military population. Baer. (2016) Weight Gain in Zollinger-Ellison Syndrome After Acid Suppression. CrossRef 57 Zhixian Sui, Weng Kei Wong, Jimmy Chun Yu Louie, Anna Rangan. Media in This Article Poll Results Contributors Figure 1 Mean Change in Body Weight and Waist Circumference from Baseline to 2 Years According to Dietary Macronutrient Content. (2016) Changes in Overall Diet Quality and Subsequent Type 2 Diabetes Risk: Three U. In addition, most studies of long-term weight gain have evaluated current behaviors, but changes in behavior over time may be more relevant in terms of both their biologic effects on long-term weight gain and their translation into prevention strategies. CrossRef 62 Xin Wang, Xu-sheng Chang, Lin Gao, Cheng-zhu Zheng, Xin Zhao, Kai Yin, Guo-en Fang. Lifestyle Choices, Risk Factors, and Cardiovascular Disease. Zampelas. Wareham. (2015) Low fruit consumption and folate deficiency are associated with LINE-1 hypomethylation in women of a cancer-free population. Carson. Lima, L. Anderson, Ellen Demerath, Mark Woodward, Elizabeth Selvin, Josef Coresh. Volgman, Judith McDevitt. Atlanta: Centers for Disease Control and Prevention, March 2001. 2016. Sahle, Semaw Ferede Abera, Tolesa Bekele, Ferew Lemma, Azmeraw T. Picard-Deland, M. , milk, cheese, and butter) were not evaluated independently. CrossRef 14 Rizliya Visvanathan, Chathuni Jayathilake, Barana Chaminda Jayawardana, Ruvini Liyanage. CrossRef 181 Dariush Mozaffarian. Weight Changes Height and weight were assessed by questionnaire at enrollment, and weight was requested on each follow-up questionnaire. International Journal of Behavioral Nutrition and Physical Activity 13:1. e. A prospective study of body mass index, weight change, and risk of stroke in women. Cherniack, Jennifer M. For example, an average, large baked potato contains 278 calories, as compared with 500 to 600 calories for a large serving of french fries. , in refined grains) — were associated with weight gain in similar ways, and potato products (which are low in sugars and high in starches) showed the strongest associations with weight gain. A prospective study of alcohol intake and change in body weight among US adults. Hu, Rob M. Analyses were carried out with the use of SAS software, version 9. 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. g. Cavallo, Masako Horino, William J. C. In the NHS, for example, the difference between persons in the upper level of change and those in the lower level of change (95th percentile minus 5th percentile) was 3. (2015) Colors of fruits and vegetables and 3-year changes of cardiometabolic risk factors in adults: Tehran lipid and glucose study. A. We also evaluated nuts, 100%-fruit juices, diet sodas, and subtypes of dairy products and potatoes. CrossRef 167 Jennifer Czwornog, Gregory Austin. Changes in physical activity were independently related to long-term changes in weight, supporting the biologic plausibility of our overall findings. Tworoger, Tianyi Huang. P. Results Baseline Characteristics and Weight Gain Weight and lifestyle characteristics at baseline and changes during 1,570,808 person-years of follow-up are shown in Table 1. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. (2015) Major Dietary Patterns in Relation to General and Central Obesity among Chinese Adults. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. (ClinicalTrials. Singer, L. 2016. CrossRef 84 J Eales, I Lenoir-Wijnkoop, S King, H Wood, F J Kok, R Shamir, A Prentice, M Edwards, J Glanville, R L Atkinson. (2016) Impact of food supplementation on weight loss in randomised-controlled dietary intervention trials: a systematic review and meta-analysis. Hu. Release 23. (2016) 100 % Fruit juice: perspectives amid the sugar debate. 7:10, 4231-4238. CrossRef 129 S. 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Sleep duration had a U-shaped association with weight gain, with greater weight gain occurring with less than 6 hours or more than 8 hours of sleep per night. Sepa-Kishi, Rolando B. (2016) Evaluating a small change approach to preventing long term weight gain in overweight and obese adults — Study rationale, design, and methods. CrossRef 107 R Akilen, N Deljoomanesh, S Hunschede, C E Smith, M U Arshad, R Kubant, G H Anderson. Vitamins, Phytonutrients, and Minerals in Potato. 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. Grosso, R. Lewis, D. Our long-term follow-up data confirm prior observations that smoking cessation results in weight gain initially but in little weight change thereafter. Gilles, Sotonte Ebenibo, Jim Wan, Chimaroke Edeoga, Samuel Dagogo-Jack. The cohorts studied here largely comprised white, educated U. (2015) Psoriasis, psoriatic arthritis and risk of gout in US men and women. (2016) Metabolic Effects of a 24-Week Energy-Restricted Intervention Combined with Low or High Dairy Intake in Overweight Women: An NMR-Based Metabolomics Investigation. (2016) Changes in Body Mass Index and Obesity Risk in Married Couples Over 25 Years. gov number, NCT00072995. CrossRef 134 Filippa Juul, Erik Hemmingsson. Vettor, P. Milk products, insulin resistance syndrome and type 2 diabetes. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. CrossRef 97 Perla A. A. Willett, Qi Sun, Frank B. S. H. The crucial question is whether overweight people have a better response in the long term to diets that emphasize a specific macronutrient composition. (2016) Sweeteners and health: findings from recent research and their impact on obesity and related metabolic conditions. Obesity and Ovarian Cancer. (2016) The time has come to flag and reduce excess fructose intake. 56 The typical portion size of a specific food or beverage may therefore partly mediate its effects on weight gain (i. CrossRef 68 Riddhish Patadia, Chintan Vora, Karan Mittal, Rajashree C. Excess weight and the risk of incident coronary heart disease among men and women. Ward, Stephen C. g. Sbraccia, P. Aggregate dietary changes were associated with substantial differences in weight change (3. Dodson, Lin Yang, Deepti Adlakha, Ross C. (2016) Relationship between Added Sugars Consumption and Chronic Disease Risk Factors: Current Understanding. (2015) Diverging global trends in heart disease and type 2 diabetes: the role of carbohydrates and saturated fats. Dietary energy density in the treatment of obesity: a year-long trial comparing 2 weight-loss diets. Murthy, M. 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