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(2016) Sweeteners and health: findings from recent research and their impact on obesity and related metabolic conditions. 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 ). (2016) No clinically meaningful weight changes in a young cohort following total joint arthroplasty at 3-year follow-up. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Impact of Dietary Proteins on Energy Balance, Insulin Sensitivity and Glucose Homeostasis. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. M. (2016) Paradoxical Effects of Fruit on Obesity. Methods We performed prospective investigations involving three separate cohorts that included 120,877 U. Adobe Flash Player is required to view this feature. Journal of Diabetes and its Complications 30:4, 686-692. CrossRef 32 Rizliya Visvanathan, Chathuni Jayathilake, Barana Chaminda Jayawardana, Ruvini Liyanage. Causes of Severe Obesity: Genes to Environment. (2016) Impact of Improving Home Environments on Energy Intake and Physical Activity: A Randomized Controlled Trial. Women and smoking: a report of the Surgeon General. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. E. 55 Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Dahl, Maria L. Total energy intake, biologic factors (e. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Food and weight gain: time to end our fear of fat. Steffen, D. Journal of the Science of Food and Agriculture 96:15, 4850-4860. 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. Yogurt and Health. E. Adobe Flash Player is required to view this feature. C. CrossRef 77 Xin Wang, Xu-sheng Chang, Lin Gao, Cheng-zhu Zheng, Xin Zhao, Kai Yin, Guo-en Fang. 1 (SAS Institute), at a two-tailed alpha level of 0. Lewis, Penny Gordon-Larsen. (2016) Carbohydrates and insulin resistance in clinical nutrition: Recommendations from the ESPEN expert group. 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. Boirie, T. A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Cavallo, Masako Horino, William J. Demmer, V. (Funded by the National Institutes of Health and others. Brinton. Mozaffarian. International Journal of Food Sciences and Nutrition 67:3, 232-238. Cavallari. CrossRef 108 A Drewnowski, C D Rehm. W. Biolo, S. Ceddia. (2016) Food and consumer behavior: why the details matter. CrossRef 8 Lindsey Smith Taillie, Jennifer M. (2015) Position of the Academy of Nutrition and Dietetics: Health Implications of Dietary Fiber. Baer. CrossRef 180 Pablo Monsivais, Adam Martin, Marc Suhrcke, Nita G. CrossRef 105 Kevin Jon Williams, Xiangdong Wu. Ferrer, William M. (2016) Imbalanced insulin action in chronic over nutrition: Clinical harm, molecular mechanisms, and a way forward. Cifelli, E. (2016) Relationship between Added Sugars Consumption and Chronic Disease Risk Factors: Current Understanding. Hu. Brunborg, B. Pinto, C. 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. (2016) Enhanced susceptibility of obese mice to glycidamide-induced sperm chromatin damage without increased oxidative stress. (2016) Sweetened Beverage Consumption and Risk of Biliary Tract and Gallbladder Cancer in a Prospective Study. Minnis. (2016) The Link Between Inadequate Sleep and Obesity in Young Adults. Lifestyle changes were assessed either as continuous variables, with censoring of data at the 0. Fraker, David C. Milk products, insulin resistance syndrome and type 2 diabetes. 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. Beaudoin, A. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. van Dam, Shelley S. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Sepa-Kishi, Rolando B. Jennifer Knapp Wilkinson is the woman seen in a cruel photograph that went viral years ago. g. Excess weight and the risk of incident coronary heart disease among men and women. A. 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. CrossRef 172 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. 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. Poti. A. E. 001 for all dietary factors with the exception of butter in the NHS II, cheese in the NHS and NHS II, low-fat or skim milk in the NHS and HPFS, diet soda in the NHS, and whole-fat milk in all three cohorts. Adobe Flash Player is required to view this feature. Journal of the Royal Army Medical Corps 162:1, 23-29. (2016) Diet modeling in older Americans: The impact of increasing plant-based foods or dairy products on protein intake. Wiss, Kristen Criscitelli, Mark Gold, Nicole Avena. More Joy recipe remakes: French fries, doughnuts and brownies. CrossRef 47 D K Tobias, C Zhang, J Chavarro, S Olsen, W Bao, A A Bjerregaard, T T Fung, J E Manson, F B Hu. CrossRef 114 Kristy Breuhl Smith, Michael Seth Smith. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Phillips, C. When to eat, drink and be wary: 5 common food and medicine interactions. (2017) Associations of Cooking With Dietary Intake and Obesity Among Supplemental Nutrition Assistance Program Participants. Clark, Sjaan R. 2017. (2016) Obesity, Mortality, and the Obesity Paradox. Adobe Flash Player is required to view this feature. (2016) Controversies about sugars: results from systematic reviews and meta-analyses on obesity, cardiometabolic disease and diabetes. H. Vitamins, Phytonutrients, and Minerals in Potato. Anderson, Ellen Demerath, Mark Woodward, Elizabeth Selvin, Josef Coresh. Briana Lopez, 12 years old, spent 210 days in hospital fighting cancer with a positive attitude. Provision of foods differing in energy density affects long-term weight loss. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Knutson. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Short- and Long-term weight changes among United States veterans with diffuse large B-cell lymphoma treated with CHOP chemotherapy. (2016) Is consuming yoghurt associated with weight management outcomes. Television watching appears to encourage snacking during viewing and also influences food choices both during viewing and at other times. Adobe Flash Player is required to view this feature. 2017. (2016) Fast Food Pattern and Cardiometabolic Disorders: A Review of Current Studies. (2015) Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. (2016) Diet and adipose tissue distributions: The Multi-Ethnic Study of Atherosclerosis. CrossRef 119 R. CrossRef 74 Arne Astrup, Beth Rice Bradley, J. Seguin, Kenneth K. Our long-term follow-up data confirm prior observations that smoking cessation results in weight gain initially but in little weight change thereafter. However, weight gain often occurs gradually over decades (about 1 lb per year), making it difficult for most people to perceive the specific causes. CrossRef 46 Youfa Wang, Liang Wang, Hong Xue, Weidong Qu. Siscovick, K. (2016) Higher Diet Quality in Adolescence and Dietary Improvements Are Related to Less Weight Gain During the Transition From Adolescence to Adulthood. Analyses were carried out with the use of SAS software, version 9. 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. Appetite. Adobe Flash Player is required to view this feature. Eur J Clin Nutr 2011 May 11 (Epub ahead of print). CrossRef 63 Eliot A. 2017. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. Sievenpiper. All weight changes were adjusted for age, baseline body-mass index, sleep duration, and changes in smoking status, physical activity, television watching, and alcohol use. CrossRef 21 Mariana Souza Lopes, Luana Caroline dos Santos, Aline Cristine Souza Lopes, Mery Natali Silva Abreu. Association between leisure time physical activity and 10-year body mass change among working-aged men and women. Liquid and solid meal replacement products differentially affect postprandial appetite and food intake in older adults. Physica A: Statistical Mechanics and its Applications 468, 139-146. Addison, James A. Gac, V. 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. Tucker, P. (2016) Impact of food supplementation on weight loss in randomised-controlled dietary intervention trials: a systematic review and meta-analysis. Lima, L. Nutrition. 2015. (2015) Colors of fruits and vegetables and 3-year changes of cardiometabolic risk factors in adults: Tehran lipid and glucose study. Forouzanfar. Adobe Flash Player is required to view this feature. 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. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (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. Alcohol intake and 8-year weight gain in women: a prospective study. (2016) Dietary Protein Intake and Risk of Type 2 Diabetes in US Men and Women. Adobe Flash Player is required to view this feature. Which diet and fitness plan is right for you. Guess. CrossRef 10 Elizabeth H. Wood, Tess Gilbert, Linda Toms Barker, Alexandra M. V. CrossRef 179 Anthony Fardet. A TODAY editor tests out the cleanse that Kelly Ripa said changed her life. Primary Care: Clinics in Office Practice 43:1, 121-135. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Jenkins. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Journal of the Academy of Nutrition and Dietetics 115:11, 1861-1870. Annals of Epidemiology 26:10, 698-703. 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. 54 Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. , in sweets and desserts) or were not added (e. 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. Tworoger, Frank B. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 37 Marta Campolier, Sangeetha Pariyarath Thondre, Miriam Clegg, Amir Shafat, Ali Mcintosh, Helen Lightowler. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Estruch. (2015) Job-loss and weight gain in British adults: Evidence from two longitudinal studies. Adobe Flash Player is required to view this feature. Sievenpiper, J. C. Adobe Flash Player is required to view this feature. Hill, Amy Latimer, Andrew G. Willett, Frank B. (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 29 Anneliese Arno, Steve Thomas. 3 metabolic equivalents (METs) per week for physical activity, and 0. 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 ). Potatoes and Human Health. Figure 2 Relationships between Changes in Diet and Physical Activity and Weight Changes within Each 4-Year Period in the Three Cohorts. Television watching increases motivated responding for food and energy intake in children. Wolfson, Sara N. Dodson, Lin Yang, Deepti Adlakha, Ross C. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 35 Yohannes Adama Melaku, Awoke Misganaw Temesgen, Amare Deribew, Gizachew Assefa Tessema, Kebede Deribe, Berhe W. CrossRef 112 J M Rippe, L Tappy. 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. 2017. Sahle, Semaw Ferede Abera, Tolesa Bekele, Ferew Lemma, Azmeraw T. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. CrossRef 138 Sam Gutterman. Mashru. All weight changes were adjusted for age, baseline body-mass index, sleep duration, and changes in smoking status, physical activity, television watching, and alcohol use. Adobe Flash Player is required to view this feature. H. Torstveit, Hilde Lohne-Seiler, Elling Bere. A. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. (2016) Low Calorie Sweetener (LCS) use and energy balance. The influence of food portion size and energy density on energy intake: implications for weight management. Laska, Dianne Neumark-Sztainer. As for lifestyle behaviors, each was measured with some degree of error, which, if random, would underestimate their true relationships with weight change. 2017. (2016) Exercise-Mediated Effects on White and Brown Adipose Tissue Plasticity and Metabolism. 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 ). Changes in diet and physical activity were independently associated with weight gain ( Figure 2 ). Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. Peters, Jimikaye Beck. Jenkins, Vasanti Malik, Miguel A. Glycaemic response to foods: impact on satiety and long-term weight regulation. A prospective study of body mass index, weight change, and risk of stroke in women. 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. Release 23. The Journal of Pediatrics 178, 188-193. Deutz, G. , 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. (2016) Worsening Dietary and Physical Activity Behaviors Do Not Readily Explain Why Smokers Gain Weight After Cessation: A Cohort Study in Young Adults. Fermented Foods in Health and Disease Prevention, 305-338. (2016) Changes in Body Mass Index and Obesity Risk in Married Couples Over 25 Years. 2016. (2015) Impact of interventions to reduce sugar-sweetened beverage intake in children and adults: a protocol for a systematic review and meta-analysis. Adobe Flash Player is required to view this feature. CrossRef 60 Ming Ding, Yang Hu, Joel Schwartz, Woon-Puay Koh, Jian-Min Yuan, Howard D. e2. P. CrossRef 79 Dariush Mozaffarian. 2016. USDA national nutrient database for standard reference. Meyer, Annie Green Howard, Janne Boone-Heinonen, Barry M. CrossRef 41 S Panahi, M A Fernandez, A Marette, A Tremblay. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. International Journal of Environmental Research and Public Health 13:1, 28. (2015) Energy expenditure and muscular activation patterns through active sitting on compliant surfaces. CrossRef 7 Zhixian Sui, Weng Kei Wong, Jimmy Chun Yu Louie, Anna Rangan. 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. L. (2016) Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013. (2016) Healthful dietary patterns and long-term weight change among women with a history of gestational diabetes mellitus. 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. Mack. Beck, Marijka J. Any missing lifestyle data during any follow-up period were coded as a missing indicator category for categorical variables (e. (2016) Health-beneficial properties of potato and compounds of interest. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Bischoff, Y. A prospective study of alcohol intake and change in body weight among US adults. 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. International Journal of Environmental Research and Public Health 13:11, 1112. 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. (2016) Scientific evidence and daily food for a better life: Milan, 19 June 2015. M. McCarthy. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. These pancakes are packed with protein to start your day right. Adobe Flash Player is required to view this feature. (2016) Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. Yogurt consumption was also associated with less weight gain in all three cohorts. CrossRef 81 Roxana Torres, Sandra Soltero, Maria Angelica Trak, Carolyn M. Swithers. With no options for their adult son with autism, this couple builds a community. Lifestyle Choices, Risk Factors, and Cardiovascular Disease. Hotz. Tucker, Keimari Mendez, Maribel Campos, Walter Willett, Marytere Melendez, Mathew W. Reductions in dietary energy density are associated with weight loss in overweight and obese participants in the PREMIER trial. 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. For families of older children with autism, the future can be scary. Teens are posting photos of their burns from the viral salt and ice challenge on social media. Adobe Flash Player is required to view this feature. Batsis, Julie P. Adobe Flash Player is required to view this feature. Cohort members who were excluded because of missing data had characteristics similar to those included in the analysis (data not shown). If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Grosso, R. g. (2016) Yogurt, diet quality and lifestyle factors. CrossRef 182 Susan E. 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. e3. (2017) Modelling body weight, dieting and obesity traps. (2015) Dietary patterns in India and their association with obesity and central obesity. (2016) Mortality outcomes associated with intake of fast-food items and sugar-sweetened drinks among older adults in the Vitamins and Lifestyle (VITAL) study. Kendall, J. No other potential conflict of interest relevant to this article was reported. (2016) Cardiovascular Risk in Midlife African American Women Participating in a Lifestyle Physical Activity Program. S. CrossRef 126 Patrick Mullie, P Clarys. 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. Which diet and fitness plan is right for you. 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. Journal of the Academy of Nutrition and Dietetics 116:7, 1156-1162. Adobe Flash Player is required to view this feature. (2016) Preclinical evidence for the addiction potential of highly palatable foods: Current developments related to maternal influence. Allison, J. 66 drinks per day for alcohol consumption. (2016) Five-Factor Model Personality Traits and the Objective and Subjective Experience of Body Weight. American Journal of Respiratory Cell and Molecular Biology 54:5, 609-617. Adobe Flash Player is required to view this feature. 2016. (2016) Weight discrimination and unhealthy eating-related behaviors. Clear patterns were also not seen in the relationship between weight change and the energy density of dietary components (e. CrossRef 53 Anne Raben. (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. (2016) A Health Threat to Bystanders Living in the Homes of Smokers: How Smoke Toxins Deposited on Surfaces Can Cause Insulin Resistance. Carson. 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. Adobe Flash Player is required to view this feature. Skim milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. CrossRef 101 JoEllen Wilbur, Arlene Michaels Miller, Louis Fogg, Judith McDevitt, Cynthia M. The cohorts studied here largely comprised white, educated U. g. Befort. The results were similar across the three separate cohorts, increasing our confidence in the validity and generalizability of the findings. CrossRef 167 Gregory A Hand, Robin P Shook, James O Hill, Peter R Giacobbi, Steven N Blair. CrossRef 123 R Akilen, N Deljoomanesh, S Hunschede, C E Smith, M U Arshad, R Kubant, G H Anderson. How to get what you really want this Christmas. Citing Articles 1 Saki Nakamura, Takayo Inayama, Takashi Arao. Perez-Leighton. Short sleep duration and weight gain: a systematic review. Thorens, A. Amare, Oumer Seid, Kedir Endris, Abiy Hiruye, Amare Worku, Robert Adams, Anne W. S. 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. 56 The typical portion size of a specific food or beverage may therefore partly mediate its effects on weight gain (i. 5 percentiles to minimize the influence of outliers, or as indicator variables for categorical behaviors (e. Closing the energy gap to prevent weight gain in China. (2015) Sleep Disturbances in Patients with Medical Conditions. Hu, Steven C Moore. Calder. Other lifestyle factors were also independently associated with weight change (P 8 hours of sleep), and television watching (0. All these relationships must be mediated by changes in energy intake, energy expenditure, or both. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. Tobias, An Pan, Frank B. (2015) Fruit and Vegetable Consumption and Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. An easy lower-body workout you can do anywhere. CrossRef 6 Paolo Nicola Barbieri. Development of phenolic compounds encapsulation techniques as a major challenge for food industry and for health and nutrition fields. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 90 Wendy E Barrington, Emily White. Forouhi, Nicholas J. A. This mirror selfie proves that friendship has no age limit. The Role of Nutrition and Lifestyle in the Prevention and Treatment of Cardiovascular Disease. Singer, L. Americans have pretty much thrown that out the. (2016) Food processing and structure impact the metabolizable energy of almonds. 17 lb ( Table 3 ). J. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. , beverages of low energy density were strongly associated with weight gain). Adobe Flash Player is required to view this feature. Hu. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Foods that contained higher amounts of refined carbohydrates — whether these were added (e.
Weight Changes Height and weight were assessed by questionnaire at enrollment, and weight was requested on each follow-up questionnaire. M. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 44 Lanou AJ, Barnard ND. American Journal of Preventive Medicine 51:4, e91-e97. Daniel, A. Adobe Flash Player is required to view this feature. Association between dairy food consumption and weight change over 9 y in 19,352 perimenopausal women. Whole Grains and Metabolic Syndrome. CrossRef 4 EunSol Her, Soobin Seo. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Gomersall. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) The Cost of Increasing Physical Activity and Maintaining Weight for Midlife Sedentary African American Women. (2016) Personality traits and body weight: Evidence using sibling comparisons. 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. Tousoulis, M. C. (. Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. (2017) Health halo effects in sequential food consumption: The moderating roles of health-consciousness and attribute framing. Obesity and Ovarian Cancer. Lindeman. Willett, Qi Sun, Frank B. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2015) Artificial sweeteners are not the answer to childhood obesity. CrossRef 149 Iffat Rahman, Alicja Wolk, Susanna C Larsson. Lauren LaPorta pushed herself to stand and walk again to lose weight. CrossRef 153 Jayesh Kamath, Galina Prpich, Sarah Jillani. Changes in physical activity were independently related to long-term changes in weight, supporting the biologic plausibility of our overall findings. CrossRef 117 Hong Zheng, Janne Lorenzen, Arne Astrup, Lesli Larsen, Christian Yde, Morten Clausen, Hanne Bertram. Wareham. Overweight and Obesity: Prevention and Weight Management. Increases in time spent watching television (per hour per day) were independently associated with weight gain (0. 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. 05. (2016) The contribution of subsidized food commodities to total energy intake among US adults. (2017) Comparison Between Two Assessment Tools for Fruit and Vegetable Intake Relative to the 24hr Recall. CrossRef 25 Yu Guan, Honghai Zhang, Xiaodong Gao, Shuai Shang, Xiaoyang Wu, Jun Chen, Wei Zhang, Weihua Zhang, Mingsheng Jiang, Baohong Zhang, Peng Chen. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Gudzune, Cheryl A. Schoeny, Louis Fogg, JoEllen Wilbur. (2016) A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity. Many prior studies of television watching and obesity have been cross-sectional, limiting the ability to make inferences about which came first. (2016) Relation between dietary pattern analysis (principal component analysis) and body mass index: a 5-year follow-up study in a Belgian military population. Sutin, Antonio Terracciano. CrossRef 61 Satya Sharma, Hea Chung, Hyeon Kim, Seong Hong. P ). Although dietary questionnaires specified portion sizes, residual, unmeasured differences in portion sizes among participants might account for additional independent effects on energy balance. Washington, DC: National Sleep Foundation, 2010. Glanville, Sam Brown, Raanan Shamir, Hania Szajewska, Jacqualyn F. Bynum. Colditz, Kenneth R. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. More Joy recipe remakes: French fries, doughnuts and brownies. P. Ouyang, S. (2016) Exploring associations between perceived home and work neighborhood environments, diet behaviors, and obesity: Results from a survey of employed adults in Missouri. (2016) Gender-related different effects of a combined therapy of Exenatide and Metformin on overweight or obesity patients with type 2 diabetes mellitus. 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. Food Funct. CrossRef 173 P Mirmiran, Z Bahadoran, N Moslehi, S Bastan, F Azizi. Poutahidis. Rosen, Julie K. Adobe Flash Player is required to view this feature. (2016) Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies. (2017) A randomized-controlled trial focusing on socio-economic status for promoting vegetable intake among adults using a web-based nutrition intervention programme: study protocol. (2016) Lifestyle modification intervention for overweight and obese Hispanic pregnant women: Development, implementation, lessons learned and future applications. Barazzoni, N. (2015) Changes in food choice patterns in a weight loss intervention. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Provenza, Michel Meuret, Pablo Gregorini. ) 57 Plachta-Danielzik S, Landsberg B, Bosy-Westphal A, Johannsen M, Lange D, Muller MJ. Bleich. Journal of the Academy of Nutrition and Dietetics 116:9, 1387-1394. (2016) Estimating individual optimal sleep duration and potential sleep debt. (2016) Longterm clinical and radiological follow-up of living liver donors. 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. Le Barz, N. International Journal of Food Sciences and Nutrition 68:2, 158-166. (2016) Effects of perceived weight discrimination on willingness to adopt unhealthy behaviours: influence of genomic information. 44,45 Overall, our analysis showed divergent relationships between specific foods or beverages and long-term weight gain, suggesting that dietary quality (the types of foods and beverages consumed) influences dietary quantity (total calories). Conversely, the ranges of dietary intakes were broad and overlapped with national estimates. (2016) The time has come to flag and reduce excess fructose intake. CrossRef 22 Mette Kristensen, Xavier Pelletier, Alastair Ross, Frank Thielecke. 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. Adobe Flash Player is required to view this feature. (2016) Nut consumption and age-related disease. 93 lb across quintiles of dietary change). If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 107 Snehal M Pinto Pereira, Karin van Veldhoven, Leah Li, Chris Power. , smoking status) and with carried-forward values for continuous variables. Adobe Flash Player is required to view this feature. 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. S. The P value is less than 0. Health news, stories and tips that inspire healthy diets, relationships and lives. CrossRef 141 Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi. (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. Goodlett, Andrew W. Freitas. Sullivan, Christie A. CrossRef 14 Satya Dash. CrossRef 75 Jinho Kim. Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies. Prospective weight change and colon cancer risk in male US health professionals. 001 for all dietary factors with the exception of butter in the NHS II, cheese in the NHS and NHS II, low-fat or skim milk in the NHS and HPFS, diet soda in the NHS, and whole-fat milk in all three cohorts. Vettor, P. Stewart. CrossRef 82 Riddhish Patadia, Chintan Vora, Karan Mittal, Rajashree C. Heart disease and stroke statistics -- 2010 update: a report from the American Heart Association. CrossRef 98 J Eales, I Lenoir-Wijnkoop, S King, H Wood, F J Kok, R Shamir, A Prentice, M Edwards, J Glanville, R L Atkinson. A. Energy gain and energy gap in normal-weight children: longitudinal data of the KOPS. CrossRef 154 Elisa J Vargas-Garcia, Charlotte EL Evans, Janet E Cade. Charakida. Navarre, Roshani Shakya, Hanjo Hellmann. 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. 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. Picard-Deland, M. Alcohol, body weight, and weight gain in middle-aged men. (2015) Urinary isoflavonoids and risk of type 2 diabetes: a prospective investigation in US women. Baker. CrossRef 147 S. 2010. 2017. 14 lb per 4-year period). CrossRef 15 M. (2016) Obesity-Related Dietary Behaviors among Racially and Ethnically Diverse Pregnant and Postpartum Women. adults, which potentially limits the generalizability of the findings. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. Rosner, Edward Giovannucci, Rob 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. CrossRef 127 G. Subsequent weight gain for former smokers was small (0. CrossRef 76 Tetsuro Tsujimoto, Hiroshi Kajio, Takehiro Sugiyama. Aggregate dietary changes were associated with substantial differences in weight change (3. This man gave his wife a kidney for their 20th anniversary. 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. Future studies should evaluate how changes in sleep over time are related to weight gain. Adobe Flash Player is required to view this feature. CrossRef 84 Angelina Sutin, Eric Robinson, Michael Daly, Antonio Terracciano. 2016. CrossRef 146 John Cawley, Davide Dragone, Stephanie Von Hinke Kessler Scholder. Teske, M. (2016) Macronutrient Composition of Menu Offerings in Fast Food Restaurants in the U. (2016) Effectiveness of laparoscopic sleeve gastrectomy for weight loss and obesity-associated co-morbidities: a 3-year outcome from Mainland Chinese patients. Adobe Flash Player is required to view this feature. Zainudiniv, Olga N. Fulgoni. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. (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. Strong positive associations with weight change were seen for starches, refined grains, and processed foods. CrossRef 113 Perla A. Murthy, M. 31 lb per hour per day). S. W. Alcohol consumption, weight gain, and risk of becoming overweight in middle-aged and older women. 7:10, 4231-4238. Metz. Adult weight change and risk of postmenopausal breast cancer. Bornhorst, David J. Franks, Kaumudi Joshipura, Jeremy Pomeroy, Cristina Palacios. Surowiec, Henry Wang. g. (2016) The use of low-calorie sweeteners is associated with self-reported prior intent to lose weight in a representative sample of US adults. (2016) Combined early and adult life risk factor associations for mid-life obesity in a prospective birth cohort: assessing potential public health impact. g. Calcium and dairy intakes in relation to long-term weight gain in US men. (2016) The efficacy of nudge theory strategies in influencing adult dietary behaviour: a systematic review and meta-analysis. For this analysis, the baseline year was the first year for which detailed information was available on diet, physical activity, and smoking habits — 1986 in the NHS and HPFS and 1991 in the NHS II. Giovannucci, Alicja Wolk. Adobe Flash Player is required to view this feature. Shah, V. Sophie Guidolin, a fitness expert and mother of four, is fighting back against body shamers on. Adobe Flash Player is required to view this feature. (2016) Obesity, diabetes, and length of time in the United States. (2016) Determinants and Consequences of Obesity. Vargas. (2016) Dietary intake in people consuming a reduced-carbohydrate diet in the National Diet and Nutrition Survey. Limited short-term studies of dairy foods and satiety or weight change have had inconsistent results. Sbraccia, P. CrossRef 150 Filippa Juul, Erik Hemmingsson. Kanaly, V. CrossRef 158 Lesley Wood, Russell Jago, Simon J. 2016. The P value is less than 0. Adobe Flash Player is required to view this feature. Camire. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Chapter 3 Health Aspects of Mono- and Disaccharides. (2016) Current paradigms in the etiology of obesity. CrossRef 156 L. Atlanta: Centers for Disease Control and Prevention, March 2001. g. Weight gain as a risk factor for clinical diabetes mellitus in women. CrossRef 34 Wenpeng You, Maciej Henneberg. Adobe Flash Player is required to view this feature. (2016) Association between sleep deficiency and cardiometabolic disease: implications for health disparities. (2016) Nutrition and Health Disparities: The Role of Dairy in Improving Minority Health Outcomes. How chef Rocco DiSpirito lost 30 pounds: It starts with a huge breakfast. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Media in This Article Figure 1 Relationships between Changes in Food and Beverage Consumption and Weight Changes Every 4 Years, According to Study Cohort. Thinking outside the box: Finnish baby boxes could save infant lives. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Television viewing behaviour and associations with food habits in different countries. Ramirez, J. e. Hu. Journal of the American College of Nutrition 35:6, 581-586. , age, body-mass index, and physical activity). Journal of the American College of Cardiology 66:14, 1590-1614. 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. S. (2016) Change in active transportation and weight gain in pregnancy. CrossRef 54 Shingo Kitamura, Yasuko Katayose, Kyoko Nakazaki, Yuki Motomura, Kentaro Oba, Ruri Katsunuma, Yuri Terasawa, Minori Enomoto, Yoshiya Moriguchi, Akiko Hida, Kazuo Mishima. (2016) Adherence to the Mediterranean dietary pattern and BMI change among US adolescents. (2015) The scale of the evidence base on the health effects of conventional yogurt consumption: findings of a scoping review. Heimbach. 1 servings per day for vegetable consumption, 25. Mitchell, M. -S. Houchins, C. Total energy intake is not well estimated from dietary questionnaires, nor does it reflect energy balance, which is necessarily codetermined by energy expenditure. 5 and 99. J. Noronha, D. Adobe Flash Player is required to view this feature. (2016) Diet Quality of Breast Cancer Survivors after a Six-Month Weight Management Intervention: Improvements and Association with Weight Loss. International Journal of Behavioral Nutrition and Physical Activity 13:1. Frazier-Wood, J. Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). L. A. (2016) The Potential Role of Yogurt in Weight Management and Prevention of Type 2 Diabetes. 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. Different types of alcohol drinks were also evaluated. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Hu, Qi Sun. Tappy, B. No single metric appears to capture these complexities. The human gut microbiome: implications for future health care. Obviously, such foods provide calories and cannot violate thermodynamic laws. Just, Gnel Gabrielyan. Klein, Susan Persky. Fifteen-year longitudinal trends in walking patterns and their impact on weight change. CrossRef 135 Constance Brown-Riggs. CrossRef 130 Fernando Lizcano, Diana Vargas. Ding, M. Ruxton. CrossRef 177 Lukas Schwingshackl, Georg Hoffmann, Tamara Kalle-Uhlmann, Maria Arregui, Brian Buijsse, Heiner Boeing, Elizabeth W Triche. (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. Do you have a Debbie Downer in your life. Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. (2016) Maintaining a Healthy BMI. Adobe Flash Player is required to view this feature. Participants were followed with the use of biennial validated questionnaires concerning medical history, lifestyle, and health practices. Absolute levels of physical activity, rather than changes in these levels, were not associated with weight change (data not shown). , both average portion sizes and biologic effects). Trans fatty acids: effects on metabolic syndrome, heart disease and diabetes. P. Cherniack, Jennifer M. (2016) Obesity Statistics. 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. (2016) Changes in Overall Diet Quality and Subsequent Type 2 Diabetes Risk: Three U. Budoff, A. 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. CrossRef 43 James Rippe, Theodore Angelopoulos. The Benefits of Yogurt, Cultures, and Fermentation. Erdman, T. CrossRef 13 J. Venn. We also evaluated nuts, 100%-fruit juices, diet sodas, and subtypes of dairy products and potatoes. Smith, Terry Dwyer, Alison J. Soft drinks and weight gain: how strong is the link. Kadouh, Andres Acosta. CrossRef 104 Cinthya Wibisono, Yasmine Probst, Elizabeth Neale, Linda Tapsell. (2016) Adult Intake of Minimally Processed Fruits and Vegetables: Associations with Cardiometabolic Disease Risk Factors. Grigorian. Adobe Flash Player is required to view this feature. Multivariable models were used to adjust for age, baseline body-mass index in each 4-year period, and all lifestyle factors simultaneously. (2016) Changes in PYY and gastric emptying across the phases of the menstrual cycle and the influence of the ovarian hormones. Dietary energy density in the treatment of obesity: a year-long trial comparing 2 weight-loss diets. (2016) Genetic predictors of obesity development. 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. Social factors and television use during meals and snacks is associated with higher BMI among pre-school children. Bennett. C. C. The Molecular Nutrition of Amino Acids and Proteins, 241-264. Tell us how you met your significant other. , milk, cheese, and butter) were not evaluated independently. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Overall, increases in alcohol use (per drink per day) were positively associated with weight change (0. (2015) Our landscapes, our livestock, ourselves: Restoring broken linkages among plants, herbivores, and humans with diets that nourish and satiate. CrossRef 89 N Martin-Calvo, J E Chavarro, J Falbe, F B Hu, A E Field. 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 ). Eales. Day. CrossRef 96 Huibiao Quan, Huachuan Zhang, Weiping Wei, Tuanyu Fang. Several lifestyle behaviors may influence whether or not a person can maintain energy balance over the long term. Surgery for Obesity and Related Diseases 12:7, 1305-1311. 2017. Marette. (2015) Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Angelopoulos. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Prospective Cohorts. Tworoger, Tianyi Huang. Journal of the National Cancer Institute 108:10, djw125. 2016. (2016) Healthy Weight in Lesbian and Bisexual Women Aged 40 and Older: An Effective Intervention in 10 Cities Using Tailored Approaches. (2016) Weight Gain in Zollinger-Ellison Syndrome After Acid Suppression. 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. (2016) Biology of Beige Adipocyte and Possible Therapy for Type 2 Diabetes and Obesity. Krauss, Daan Kromhout, David J. International Journal of Behavioral Nutrition and Physical Activity 13:1. Chui, Valerie Clark, Marilyn A. Adobe Flash Player is required to view this feature. CrossRef 62 N. Van Gossum, R. L. 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. W. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. All results were also similar when we evaluated relative (percent) weight changes rather than absolute weight changes (not shown). CrossRef 40 Shirin Panahi, Angelo Tremblay. Abbasi, K. Lifestyle changes were self-selected, and residual confounding from other lifestyle behaviors is possible. CrossRef 124 Vittobai Rashika Rangaraj, Kristen L. An easy lower-body workout you can do anywhere. Adobe Flash Player is required to view this feature. (2017) Discretionary food and beverage consumption and its association with demographic characteristics, weight status, and fruit and vegetable intakes in Australian adults. Volgman, Judith McDevitt. Batterham. CrossRef 133 Mary E. Disclosure forms provided by the authors are available with the full text of this article at NEJM. Francine Laden for comments during the preparation of an early version of the manuscript, and Dr. Adobe Flash Player is required to view this feature. g. Brownson. Dietary Fiber, Soluble and Insoluble, Carbohydrates, Fructose, and Lipids. Microbes and Oxytocin. Journal of the American College of Nutrition 35:8, 717-731. These results suggest that future policies and research efforts to prevent obesity should consider food structure and processing as potentially relevant dietary metrics. (2016) The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation. 2016. , smoking status). 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. org. ) Full Text of Discussion. (2016) Evaluating a small change approach to preventing long term weight gain in overweight and obese adults — Study rationale, design, and methods. 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) Quality by Design Empowered Development and Optimisation of Time-Controlled Pulsatile Release Platform Formulation Employing Compression Coating Technology. CrossRef 50 James M. (2016) 100 % Fruit juice: perspectives amid the sugar debate. Starck, Cristina Flores, Manuela Martins Green, Qinghua Sun. Dairy and weight loss hypothesis: an evaluation of the clinical trials. (2016) The effects of potatoes and other carbohydrate side dishes consumed with meat on food intake, glycemia and satiety response in children. L. (2015) Behavioral characterization of a model of differential susceptibility to obesity induced by standard and personalized cafeteria diet feeding. CrossRef 18 Goreti Botelho, Sara Canas, Jorge Lameiras. Adobe Flash Player is required to view this feature. Wong, E. g. , 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. Comelli, C. Marette. (2015) Energy flux: staying in energy balance at a high level is necessary to prevent weight gain for most people. Annals of Physical and Rehabilitation Medicine 60:1, 36-42. (2015) The relationship between sweetened beverage consumption and risk of heart failure in men. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 106 Gail C Rampersaud.
