Almonds weight loss study
Grosso, R. CrossRef 77 Xin Wang, Xu-sheng Chang, Lin Gao, Cheng-zhu Zheng, Xin Zhao, Kai Yin, Guo-en Fang. American Journal of Respiratory Cell and Molecular Biology 54:5, 609-617. (2015) Our landscapes, our livestock, ourselves: Restoring broken linkages among plants, herbivores, and humans with diets that nourish and satiate. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. CrossRef 158 Lesley Wood, Russell Jago, Simon J. A. 1 servings per day for vegetable consumption, 25. g. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Figure 2 Relationships between Changes in Diet and Physical Activity and Weight Changes within Each 4-Year Period in the Three Cohorts. Comparison of weight-loss diets with different compositions of fat, protein, and carbohydrates. S. Adobe Flash Player is required to view this feature. (2016) Is consuming yoghurt associated with weight management outcomes. g. Phillips, C. 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. (2016) Lifestyle modification intervention for overweight and obese Hispanic pregnant women: Development, implementation, lessons learned and future applications. CrossRef 112 J M Rippe, L Tappy. W. (2015) Sleep Disturbances in Patients with Medical Conditions. Adult weight change and risk of postmenopausal breast cancer. Gac, V. Prunus amygdalus ) is a species of tree native to the Middle East, the Indian Subcontinent and North Africa. CrossRef 96 Huibiao Quan, Huachuan Zhang, Weiping Wei, Tuanyu Fang. (2015) Trends in consumption of ultra-processed foods and obesity in Sweden between 1960 and 2010. Tousoulis, M. CrossRef 156 L. C. 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. Limited short-term studies of dairy foods and satiety or weight change have had inconsistent results. C. Energy gain and energy gap in normal-weight children: longitudinal data of the KOPS. Association between leisure time physical activity and 10-year body mass change among working-aged men and women. (2016) Changes in PYY and gastric emptying across the phases of the menstrual cycle and the influence of the ovarian hormones. International Journal of Environmental Research and Public Health 13:11, 1112. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) The effects of potatoes and other carbohydrate side dishes consumed with meat on food intake, glycemia and satiety response in children. CrossRef 13 J. (2016) Personality traits and body weight: Evidence using sibling comparisons. Adobe Flash Player is required to view this feature. Day. The Molecular Nutrition of Amino Acids and Proteins, 241-264. (2015) Job-loss and weight gain in British adults: Evidence from two longitudinal studies. (2016) A Health Threat to Bystanders Living in the Homes of Smokers: How Smoke Toxins Deposited on Surfaces Can Cause Insulin Resistance. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Dodson, Lin Yang, Deepti Adlakha, Ross C. (2016) Obesity-Related Dietary Behaviors among Racially and Ethnically Diverse Pregnant and Postpartum Women. Journal of the Royal Army Medical Corps 162:1, 23-29. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2017) Discretionary food and beverage consumption and its association with demographic characteristics, weight status, and fruit and vegetable intakes in Australian adults. Calder. (Funded by the National Institutes of Health and others. Willett, Qi Sun, Frank B. CrossRef 108 A Drewnowski, C D Rehm. Primary Care: Clinics in Office Practice 43:1, 121-135. Brownson. Causes of Severe Obesity: Genes to Environment. (2015) Impact of interventions to reduce sugar-sweetened beverage intake in children and adults: a protocol for a systematic review and meta-analysis. Pinto, C. Trees reach full bearing five to six years after planting. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (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. We also evaluated nuts, 100%-fruit juices, diet sodas, and subtypes of dairy products and potatoes. (2016) No clinically meaningful weight changes in a young cohort following total joint arthroplasty at 3-year follow-up. 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 ). Brinton. , both average portion sizes and biologic effects). Adobe Flash Player is required to view this feature. (2015) Behavioral characterization of a model of differential susceptibility to obesity induced by standard and personalized cafeteria diet feeding. Adobe Flash Player is required to view this feature. 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. (2016) Biology of Beige Adipocyte and Possible Therapy for Type 2 Diabetes and Obesity. CrossRef 154 Elisa J Vargas-Garcia, Charlotte EL Evans, Janet E Cade. Clark, Sjaan R. Adobe Flash Player is required to view this feature. Starck, Cristina Flores, Manuela Martins Green, Qinghua Sun. CrossRef 113 Perla A. (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. Television watching appears to encourage snacking during viewing and also influences food choices both during viewing and at other times. Comelli, C. (2016) Paradoxical Effects of Fruit on Obesity. Adobe Flash Player is required to view this feature. CrossRef 63 Eliot A. (2016) Dietary intake in people consuming a reduced-carbohydrate diet in the National Diet and Nutrition Survey. Journal of the Academy of Nutrition and Dietetics 115:11, 1861-1870. Bennett. E. CrossRef 18 Goreti Botelho, Sara Canas, Jorge Lameiras. CrossRef 22 Mette Kristensen, Xavier Pelletier, Alastair Ross, Frank Thielecke. Chui, Valerie Clark, Marilyn A. (2016) The use of low-calorie sweeteners is associated with self-reported prior intent to lose weight in a representative sample of US adults. Australia is the largest almond production region in the Southern Hemisphere, and second largest producing country. P ). (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. Vitamins, Phytonutrients, and Minerals in Potato. Wood, Tess Gilbert, Linda Toms Barker, Alexandra M. Adobe Flash Player is required to view this feature. 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. Allison, J. Sullivan, Christie A. (2016) Diet and adipose tissue distributions: The Multi-Ethnic Study of Atherosclerosis. Weight gain as a risk factor for clinical diabetes mellitus in women. (2016) Food and consumer behavior: why the details matter. 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. CrossRef 107 Snehal M Pinto Pereira, Karin van Veldhoven, Leah Li, Chris Power. (2016) Current paradigms in the etiology of obesity. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Television watching increases motivated responding for food and energy intake in children. (2016) Impact of food supplementation on weight loss in randomised-controlled dietary intervention trials: a systematic review and meta-analysis. CrossRef 29 Anneliese Arno, Steve Thomas. Dairy consumption and risk of type 2 diabetes mellitus: a meta-analysis of cohort studies. Daniel, A. 5 and 99. (2016) Obesity, Mortality, and the Obesity Paradox. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Changes in physical activity were independently related to long-term changes in weight, supporting the biologic plausibility of our overall findings. Lifestyle changes were self-selected, and residual confounding from other lifestyle behaviors is possible. 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 15 M. (2016) Longterm clinical and radiological follow-up of living liver donors. Adobe Flash Player is required to view this feature. A. Alcohol, body weight, and weight gain in middle-aged men. 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. Beck, Marijka J. Chapter 3 Health Aspects of Mono- and Disaccharides. Generally, one seed is present, but occasionally two occur. g. 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. Bynum. 93 lb across quintiles of dietary change). (2016) Imbalanced insulin action in chronic over nutrition: Clinical harm, molecular mechanisms, and a way forward. (2016) Gender-related different effects of a combined therapy of Exenatide and Metformin on overweight or obesity patients with type 2 diabetes mellitus. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. org. Marette. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Kanaly, V. (2016) Changes in Body Mass Index and Obesity Risk in Married Couples Over 25 Years. (2016) Preclinical evidence for the addiction potential of highly palatable foods: Current developments related to maternal influence. g. CrossRef 62 N. Fifteen-year longitudinal trends in walking patterns and their impact on weight change. Strong positive associations with weight change were seen for starches, refined grains, and processed foods. Shelling almonds refers to removing the shell to reveal the seed. Inside the shell is the edible seed, commonly called a nut. The cohorts studied here largely comprised white, educated U. Carson. (2015) Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Weight Changes Height and weight were assessed by questionnaire at enrollment, and weight was requested on each follow-up questionnaire. Citing Articles 1 Saki Nakamura, Takayo Inayama, Takashi Arao. CrossRef 182 Susan E. Hill, Amy Latimer, Andrew G. CrossRef 50 James M. Willett, Frank B. Sievenpiper. (2016) Plant-Based Dietary Patterns and Incidence of Type 2 Diabetes in US Men and Women: Results from Three Prospective Cohort Studies. Fast food consumption and increased caloric intake: a systematic review of a trajectory towards weight gain and obesity risk. 2017. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. The United States is the dominant supplier of almonds. In 2013, Australia produced 9% of the world almond supply (table). (2016) Estimating individual optimal sleep duration and potential sleep debt. Angelopoulos. Cherniack, Jennifer M. Ramirez, J. 31 lb per hour per day). W. (2016) Maintaining a Healthy BMI. International Journal of Behavioral Nutrition and Physical Activity 13:1. Adobe Flash Player is required to view this feature. Goodlett, Andrew W. 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 ). Colditz, Kenneth R. C. Smith, Terry Dwyer, Alison J. Venn. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Metz. The final analyses included 50,422 women in the NHS, 47,898 women in the NHS II, and 22,557 men in the HPFS, all of whom were free of obesity and chronic diseases and for whom data on weight and lifestyle habits at baseline were complete. The young twigs are green at first, becoming purplish where exposed to sunlight, then grey in their second year. (2016) A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity. 44 Lanou AJ, Barnard ND. Murthy, M. H. Association between dairy food consumption and weight change over 9 y in 19,352 perimenopausal women. Cavallari. Kadouh, Andres Acosta. CrossRef 167 Gregory A Hand, Robin P Shook, James O Hill, Peter R Giacobbi, Steven N Blair. CrossRef 104 Cinthya Wibisono, Yasmine Probst, Elizabeth Neale, Linda Tapsell. (. CrossRef 35 Yohannes Adama Melaku, Awoke Misganaw Temesgen, Amare Deribew, Gizachew Assefa Tessema, Kebede Deribe, Berhe W. 66 drinks per day for alcohol consumption. (2016) The time has come to flag and reduce excess fructose intake. Gudzune, Cheryl A. These results suggest that future policies and research efforts to prevent obesity should consider food structure and processing as potentially relevant dietary metrics. Ruxton. (2017) Comparison Between Two Assessment Tools for Fruit and Vegetable Intake Relative to the 24hr Recall. Analyses were carried out with the use of SAS software, version 9. 2016. Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). Adobe Flash Player is required to view this feature. Sievenpiper, J. Impact of Dietary Proteins on Energy Balance, Insulin Sensitivity and Glucose Homeostasis. 1 (SAS Institute), at a two-tailed alpha level of 0. C. Overall, increases in alcohol use (per drink per day) were positively associated with weight change (0. 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. Peters, Jimikaye Beck. CrossRef 84 Angelina Sutin, Eric Robinson, Michael Daly, Antonio Terracciano. CrossRef 173 P Mirmiran, Z Bahadoran, N Moslehi, S Bastan, F Azizi. 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. 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. Hu. Glycaemic response to foods: impact on satiety and long-term weight regulation. Adobe Flash Player is required to view this feature. CrossRef 7 Zhixian Sui, Weng Kei Wong, Jimmy Chun Yu Louie, Anna Rangan. Ladizinsky suggests the taxon Amygdalus fenzliana (Fritsch) Lipsky is the most likely wild ancestor of the almond in part because it is native of Armenia and western Azerbaijan where it was apparently domesticated. CrossRef 46 Youfa Wang, Liang Wang, Hong Xue, Weidong Qu. (2016) The Cost of Increasing Physical Activity and Maintaining Weight for Midlife Sedentary African American Women. Journal of the American College of Cardiology 66:14, 1590-1614. Prospective weight change and colon cancer risk in male US health professionals. Food Funct. Inside the hull is a reticulated, hard, woody shell (like the outside of a peach pit) called the endocarp. 2016. (2016) Diet modeling in older Americans: The impact of increasing plant-based foods or dairy products on protein intake. , smoking status). (2016) Enhanced susceptibility of obese mice to glycidamide-induced sperm chromatin damage without increased oxidative stress. 2017. Seguin, Kenneth K. , age, body-mass index, and physical activity). Journal of Diabetes and its Complications 30:4, 686-692. Clear patterns were also not seen in the relationship between weight change and the energy density of dietary components (e. , smoking status) and with carried-forward values for continuous variables. Aggregate dietary changes were associated with substantial differences in weight change (3. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Biolo, S. 2016. (2016) Change in active transportation and weight gain in pregnancy. Short sleep duration and weight gain: a systematic review. (2016) Sweetened Beverage Consumption and Risk of Biliary Tract and Gallbladder Cancer in a Prospective Study. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 32 Rizliya Visvanathan, Chathuni Jayathilake, Barana Chaminda Jayawardana, Ruvini Liyanage. 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. Tappy, B. The fruit of the almond is a drupe, consisting of an outer hull and a hard shell with the seed, which is not a true nut, inside. Frazier-Wood, J. CrossRef 180 Pablo Monsivais, Adam Martin, Marc Suhrcke, Nita G. CrossRef 37 Marta Campolier, Sangeetha Pariyarath Thondre, Miriam Clegg, Amir Shafat, Ali Mcintosh, Helen Lightowler. CrossRef 34 Wenpeng You, Maciej Henneberg. International Journal of Environmental Research and Public Health 13:1, 28. A. 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) Changes in Overall Diet Quality and Subsequent Type 2 Diabetes Risk: Three U. Potatoes and Human Health. 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. (2017) Health halo effects in sequential food consumption: The moderating roles of health-consciousness and attribute framing. Adobe Flash Player is required to view this feature. 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. The influence of food portion size and energy density on energy intake: implications for weight management. CrossRef 114 Kristy Breuhl Smith, Michael Seth Smith. Hotz. A prospective study of alcohol intake and change in body weight among US adults. 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. (2016) The efficacy of nudge theory strategies in influencing adult dietary behaviour: a systematic review and meta-analysis. (2016) Obesity, diabetes, and length of time in the United States. CrossRef 106 Gail C Rampersaud. Guess. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. Picard-Deland, M. CrossRef 131 Ashley Harris, Nymisha Chilukuri, Meredith West, Janice Henderson, Shari Lawson, Sarah Polk, David Levine, Wendy L. Torstveit, Hilde Lohne-Seiler, Elling Bere. Adobe Flash Player is required to view this feature. (2016) Evaluating a small change approach to preventing long term weight gain in overweight and obese adults — Study rationale, design, and methods. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 2016. Budoff, A. CrossRef 41 S Panahi, M A Fernandez, A Marette, A Tremblay. , milk, cheese, and butter) were not evaluated independently. Hu. (2016) Nut consumption and age-related disease. The results were similar across the three separate cohorts, increasing our confidence in the validity and generalizability of the findings. Adobe Flash Player is required to view this feature. CrossRef 147 S. 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 ). A prospective study of body mass index, weight change, and risk of stroke in women. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. CrossRef 74 Arne Astrup, Beth Rice Bradley, J. Journal of the American College of Nutrition 35:8, 717-731. (2016) Cardiovascular Risk in Midlife African American Women Participating in a Lifestyle Physical Activity Program. Navarre, Roshani Shakya, Hanjo Hellmann. Our long-term follow-up data confirm prior observations that smoking cessation results in weight gain initially but in little weight change thereafter. (2016) Macronutrient Composition of Menu Offerings in Fast Food Restaurants in the U. American Journal of Preventive Medicine 51:4, e91-e97. E. Hu. Addison, James A. (2016) Health-beneficial properties of potato and compounds of interest. (2016) Short- and Long-term weight changes among United States veterans with diffuse large B-cell lymphoma treated with CHOP chemotherapy. Eur J Clin Nutr 2011 May 11 (Epub ahead of print). Prospective Cohorts. Journal of the Academy of Nutrition and Dietetics 116:7, 1156-1162. 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. Foods that contained higher amounts of refined carbohydrates — whether these were added (e. 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. (2016) Genetic predictors of obesity development. Adobe Flash Player is required to view this feature. The outer covering or exocarp, fleshy in other members of Prunus such as the plum and cherry, is instead a thick, leathery, grey-green coat (with a downy exterior), called the hull. Mack. CrossRef 119 R. Whole Grains and Metabolic Syndrome. (2016) Nutrition and Health Disparities: The Role of Dairy in Improving Minority Health Outcomes. Total energy intake is not well estimated from dietary questionnaires, nor does it reflect energy balance, which is necessarily codetermined by energy expenditure. CrossRef 127 G. 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. All results were also similar when we evaluated relative (percent) weight changes rather than absolute weight changes (not shown). Heart disease and stroke statistics -- 2010 update: a report from the American Heart Association. 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. Annals of Epidemiology 26:10, 698-703. Development of phenolic compounds encapsulation techniques as a major challenge for food industry and for health and nutrition fields. (2016) Worsening Dietary and Physical Activity Behaviors Do Not Readily Explain Why Smokers Gain Weight After Cessation: A Cohort Study in Young Adults. Brunborg, B. (2016) Adherence to the Mediterranean dietary pattern and BMI change among US adolescents. H. J. Adobe Flash Player is required to view this feature. e2. Vargas. CrossRef 138 Sam Gutterman. Adobe Flash Player is required to view this feature. Different types of alcohol drinks were also evaluated. International Journal of Food Sciences and Nutrition 68:2, 158-166. The wild form of domesticated almond grows in parts of the Levant. CrossRef 89 N Martin-Calvo, J E Chavarro, J Falbe, F B Hu, A E Field. Nutrition. 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. Lima, L. Adobe Flash Player is required to view this feature. Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. 05. (2016) The contribution of subsidized food commodities to total energy intake among US adults. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Women and smoking: a report of the Surgeon General. , in sweets and desserts) or were not added (e. e. Soft drinks and weight gain: how strong is the link. 2017. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Wareham. 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. CrossRef 82 Riddhish Patadia, Chintan Vora, Karan Mittal, Rajashree C. Jenkins. 2016. 55 Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. 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. Adobe Flash Player is required to view this feature. Other lifestyle factors were also independently associated with weight change (P 8 hours of sleep), and television watching (0. Tworoger, Tianyi Huang. (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. 2017. Dahl, Maria L. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. Media in This Article Figure 1 Relationships between Changes in Food and Beverage Consumption and Weight Changes Every 4 Years, According to Study Cohort.
, beverages of low energy density were strongly associated with weight gain). Rosen, Julie K. (2015) Colors of fruits and vegetables and 3-year changes of cardiometabolic risk factors in adults: Tehran lipid and glucose study. Associations between television viewing and consumption of commonly advertised foods among New Zealand children and young adolescents. CrossRef 6 Paolo Nicola Barbieri. (2015) Fruit and Vegetable Consumption and Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. (2016) Weight Gain in Zollinger-Ellison Syndrome After Acid Suppression. Ceddia. Adobe Flash Player is required to view this feature. 7:10, 4231-4238. Abbasi, K. Sepa-Kishi, Rolando B. E. L. CrossRef 54 Shingo Kitamura, Yasuko Katayose, Kyoko Nakazaki, Yuki Motomura, Kentaro Oba, Ruri Katsunuma, Yuri Terasawa, Minori Enomoto, Yoshiya Moriguchi, Akiko Hida, Kazuo Mishima. Camire. Within the genus Prunus, it is classified with the peach in the subgenus Amygdalus, distinguished from the other subgenera by corrugations on the shell ( endocarp ) surrounding the seed. Beaudoin, A. -S. Perez-Leighton. Kendall, J. CrossRef 79 Dariush Mozaffarian. Lifestyle Choices, Risk Factors, and Cardiovascular Disease. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. Relation between changes in intakes of dietary fiber and grain products and changes in weight and development of obesity among middle-aged women. Sbraccia, P. Alcohol consumption, weight gain, and risk of becoming overweight in middle-aged and older women. (2016) Controversies about sugars: results from systematic reviews and meta-analyses on obesity, cardiometabolic disease and diabetes. Television viewing and food habits in toddlers and preschoolers in Greece: the GENESIS study. (2016) Obesity Statistics. Shah, V. Van Gossum, R. The P value is less than 0. (2016) Dietary Protein Intake and Risk of Type 2 Diabetes in US Men and Women. 5 percentiles to minimize the influence of outliers, or as indicator variables for categorical behaviors (e. (2016) Relationship between Added Sugars Consumption and Chronic Disease Risk Factors: Current Understanding. CrossRef 90 Wendy E Barrington, Emily White. Zainudiniv, Olga N. 54 Office on Smoking and Health National Center for Chronic Disease Prevention and Health Promotion. Le Barz, N. Wolfson, Sara N. Milk products, insulin resistance syndrome and type 2 diabetes. (2016) Carbohydrates and insulin resistance in clinical nutrition: Recommendations from the ESPEN expert group. Demmer, V. Deutz, G. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 2015. Estruch. Anderson, Ellen Demerath, Mark Woodward, Elizabeth Selvin, Josef Coresh. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Lewis, Penny Gordon-Larsen. S. Stewart. Adobe Flash Player is required to view this feature. M. (2016) Weight discrimination and unhealthy eating-related behaviors. Amare, Oumer Seid, Kedir Endris, Abiy Hiruye, Amare Worku, Robert Adams, Anne W. 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. Total energy intake, biologic factors (e. CrossRef 75 Jinho Kim. P. Singer, L. (2016) Low Calorie Sweetener (LCS) use and energy balance. Batterham. 14 lb per 4-year period). Obesity and Ovarian Cancer. CrossRef 177 Lukas Schwingshackl, Georg Hoffmann, Tamara Kalle-Uhlmann, Maria Arregui, Brian Buijsse, Heiner Boeing, Elizabeth W Triche. CrossRef 146 John Cawley, Davide Dragone, Stephanie Von Hinke Kessler Scholder. (2016) Effectiveness of laparoscopic sleeve gastrectomy for weight loss and obesity-associated co-morbidities: a 3-year outcome from Mainland Chinese patients. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. CrossRef 43 James Rippe, Theodore Angelopoulos. 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. 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. CrossRef 81 Roxana Torres, Sandra Soltero, Maria Angelica Trak, Carolyn M. All these relationships must be mediated by changes in energy intake, energy expenditure, or both. 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. Absolute levels of physical activity, rather than changes in these levels, were not associated with weight change (data not shown). L. CrossRef 135 Constance Brown-Riggs. Cifelli, E. 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. (2016) Determinants and Consequences of Obesity. Adobe Flash Player is required to view this feature. However, weight gain often occurs gradually over decades (about 1 lb per year), making it difficult for most people to perceive the specific causes. Dairy and weight loss hypothesis: an evaluation of the clinical trials. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Closing the energy gap to prevent weight gain in China. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Several lifestyle behaviors may influence whether or not a person can maintain energy balance over the long term. Television viewing behaviour and associations with food habits in different countries. Changes in diet and physical activity were independently associated with weight gain ( Figure 2 ). If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Impact of Improving Home Environments on Energy Intake and Physical Activity: A Randomized Controlled Trial. Laska, Dianne Neumark-Sztainer. Noronha, D. CrossRef 60 Ming Ding, Yang Hu, Joel Schwartz, Woon-Puay Koh, Jian-Min Yuan, Howard D. M. Adobe Flash Player is required to view this feature. Lifestyle changes were assessed either as continuous variables, with censoring of data at the 0. S. (2016) Food and weight gain: time to end our fear of fat. 2010. (2016) The Potential Role of Yogurt in Weight Management and Prevention of Type 2 Diabetes. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Overweight and Obesity: Prevention and Weight Management. (2016) The Demand for Cigarettes as Derived from the Demand for Weight Loss: A Theoretical and Empirical Investigation. (2015) Position of the Academy of Nutrition and Dietetics: Health Implications of Dietary Fiber. Charakida. CrossRef 61 Satya Sharma, Hea Chung, Hyeon Kim, Seong Hong. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Steffen, D. Bornhorst, David J. Ouyang, S. V. g. (2016) Effects of perceived weight discrimination on willingness to adopt unhealthy behaviours: influence of genomic information. The Role of Nutrition and Lifestyle in the Prevention and Treatment of Cardiovascular Disease. L. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 17 lb ( Table 3 ). No single metric appears to capture these complexities. g. 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. Journal of the Academy of Nutrition and Dietetics 116:9, 1387-1394. Ferrer, William M. 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. (2015) The scale of the evidence base on the health effects of conventional yogurt consumption: findings of a scoping review. The Journal of Pediatrics 178, 188-193. ) 57 Plachta-Danielzik S, Landsberg B, Bosy-Westphal A, Johannsen M, Lange D, Muller MJ. Fulgoni. Panel A shows the relationship between deciles of dietary change and weight change per 4-year period in the three cohorts separately and combined. Baker. 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 149 Iffat Rahman, Alicja Wolk, Susanna C Larsson. Adobe Flash Player is required to view this feature. Many prior studies of television watching and obesity have been cross-sectional, limiting the ability to make inferences about which came first. Baer. Dietary Fiber, Soluble and Insoluble, Carbohydrates, Fructose, and Lipids. (2016) Healthy Weight in Lesbian and Bisexual Women Aged 40 and Older: An Effective Intervention in 10 Cities Using Tailored Approaches. Adobe Flash Player is required to view this feature. As for lifestyle behaviors, each was measured with some degree of error, which, if random, would underestimate their true relationships with weight change. S. CrossRef 123 R Akilen, N Deljoomanesh, S Hunschede, C E Smith, M U Arshad, R Kubant, G H Anderson. Participants were followed with the use of biennial validated questionnaires concerning medical history, lifestyle, and health practices. International Journal of Food Sciences and Nutrition 67:3, 232-238. Dietary energy density in the treatment of obesity: a year-long trial comparing 2 weight-loss diets. Erdman, T. Tucker, P. Meyer, Annie Green Howard, Janne Boone-Heinonen, Barry M. 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. 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. Trans fatty acids: effects on metabolic syndrome, heart disease and diabetes. 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. Tobias, An Pan, Frank B. Teske, M. The human gut microbiome: implications for future health care. Appetite. (2016) The Link Between Inadequate Sleep and Obesity in Young Adults. Microbes and Oxytocin. (2016) Association between sleep deficiency and cardiometabolic disease: implications for health disparities. Journal of the Science of Food and Agriculture 96:15, 4850-4860. Hu, Qi Sun. Provenza, Michel Meuret, Pablo Gregorini. Surowiec, Henry Wang. Vettor, P. (2015) Energy expenditure and muscular activation patterns through active sitting on compliant surfaces. Journal of the American College of Nutrition 35:6, 581-586. Gomersall. Any missing lifestyle data during any follow-up period were coded as a missing indicator category for categorical variables (e. C. Obviously, such foods provide calories and cannot violate thermodynamic laws. adults, which potentially limits the generalizability of the findings. g. Glanville, Sam Brown, Raanan Shamir, Hania Szajewska, Jacqualyn F. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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). CrossRef 153 Jayesh Kamath, Galina Prpich, Sarah Jillani. No other potential conflict of interest relevant to this article was reported. Thorens, A. 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. Lindeman. (2016) Food processing and structure impact the metabolizable energy of almonds. CrossRef 141 Zahra Bahadoran, Parvin Mirmiran, Fereidoun Azizi. (2015) Changes in food choice patterns in a weight loss intervention. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. Adobe Flash Player is required to view this feature. Blanched almonds are shelled almonds that have been treated with hot water to soften the seedcoat, which is then removed to reveal the white embryo. Physica A: Statistical Mechanics and its Applications 468, 139-146. Volgman, Judith McDevitt. 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. Schoeny, Louis Fogg, JoEllen Wilbur. CrossRef 8 Lindsey Smith Taillie, Jennifer M. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. (2016) Quality by Design Empowered Development and Optimisation of Time-Controlled Pulsatile Release Platform Formulation Employing Compression Coating Technology. 2016. The P value is less than 0. A. Mitchell, M. Adobe Flash Player is required to view this feature. CrossRef 10 Elizabeth H. Release 23. 56 The typical portion size of a specific food or beverage may therefore partly mediate its effects on weight gain (i. 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. CrossRef 117 Hong Zheng, Janne Lorenzen, Arne Astrup, Lesli Larsen, Christian Yde, Morten Clausen, Hanne Bertram. Batsis, Julie P. Washington, DC: National Sleep Foundation, 2010. W. Freitas. CrossRef 105 Kevin Jon Williams, Xiangdong Wu. (2016) Fast Food Pattern and Cardiometabolic Disorders: A Review of Current Studies. Giovannucci, Alicja Wolk. Adobe Flash Player is required to view this feature. (2016) Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013. Adobe Flash Player is required to view this feature. van Dam, Shelley S. 57,58 This means that unintended weight gain occurs easily but also that modest, sustained changes in lifestyle could mitigate or reverse such an energy imbalance. (2016) Yogurt, diet quality and lifestyle factors. Social factors and television use during meals and snacks is associated with higher BMI among pre-school children. (2016) Sweeteners and health: findings from recent research and their impact on obesity and related metabolic conditions. , 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. Alcohol intake and 8-year weight gain in women: a prospective study. (2016) Diet Quality of Breast Cancer Survivors after a Six-Month Weight Management Intervention: Improvements and Association with Weight Loss. Because of its quality, it is used as a luxury nut. Surgery for Obesity and Related Diseases 12:7, 1305-1311. Adobe Flash Player is required to view this feature. Ding, M. (2016) 100 % Fruit juice: perspectives amid the sugar debate. A. J. Rosner, Edward Giovannucci, Rob M. Yogurt and Health. CrossRef 124 Vittobai Rashika Rangaraj, Kristen L. 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. Adobe Flash Player is required to view this feature. g. Sahle, Semaw Ferede Abera, Tolesa Bekele, Ferew Lemma, Azmeraw T. Marette. (2016) Combined early and adult life risk factor associations for mid-life obesity in a prospective birth cohort: assessing potential public health impact. CrossRef 130 Fernando Lizcano, Diana Vargas. 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. Knutson. Adobe Flash Player is required to view this feature. Boirie, T. Adobe Flash Player is required to view this feature. (2016) Exercise-Mediated Effects on White and Brown Adipose Tissue Plasticity and Metabolism. Annals of Physical and Rehabilitation Medicine 60:1, 36-42. (2016) Healthful dietary patterns and long-term weight change among women with a history of gestational diabetes mellitus. 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. 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. Bleich. Subsequent weight gain for former smokers was small (0. CrossRef 133 Mary E. (2016) Higher Diet Quality in Adolescence and Dietary Improvements Are Related to Less Weight Gain During the Transition From Adolescence to Adulthood. Future studies should evaluate how changes in sleep over time are related to weight gain. (2015) Urinary isoflavonoids and risk of type 2 diabetes: a prospective investigation in US women. Klein, Susan Persky. CrossRef 76 Tetsuro Tsujimoto, Hiroshi Kajio, Takehiro Sugiyama. Houchins, C. Forouhi, Nicholas J. (2016) Scientific evidence and daily food for a better life: Milan, 19 June 2015. (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. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. USDA national nutrient database for standard reference. (2015) Artificial sweeteners are not the answer to childhood obesity. Increases in time spent watching television (per hour per day) were independently associated with weight gain (0. Grigorian. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. M. 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. (2015) Dietary patterns in India and their association with obesity and central obesity. Forouzanfar. Wiss, Kristen Criscitelli, Mark Gold, Nicole Avena. (2016) Five-Factor Model Personality Traits and the Objective and Subjective Experience of Body Weight. (2016) Adult Intake of Minimally Processed Fruits and Vegetables: Associations with Cardiometabolic Disease Risk Factors. 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. 2017. The Benefits of Yogurt, Cultures, and Fermentation. Journal of the National Cancer Institute 108:10, djw125. Fraker, David C. 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. 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. 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. Provision of foods differing in energy density affects long-term weight loss. ) Full Text of Discussion. 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. Calcium and dairy intakes in relation to long-term weight gain in US men. Almonds begin bearing an economic crop in the third year after planting. Fermented Foods in Health and Disease Prevention, 305-338. P. 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. CrossRef 40 Shirin Panahi, Angelo Tremblay. (2016) Exploring associations between perceived home and work neighborhood environments, diet behaviors, and obesity: Results from a survey of employed adults in Missouri. Disclosure forms provided by the authors are available with the full text of this article at NEJM. e3. (2016) Relation between dietary pattern analysis (principal component analysis) and body mass index: a 5-year follow-up study in a Belgian military population. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. 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. Siscovick, K. CrossRef 179 Anthony Fardet. Mozaffarian. Befort. Poutahidis. (2015) Energy flux: staying in energy balance at a high level is necessary to prevent weight gain for most people. 3 metabolic equivalents (METs) per week for physical activity, and 0. International Journal of Behavioral Nutrition and Physical Activity 13:1. Mashru. If you are using an operating system that does not support Flash, we are working to bring you alternative formats. , 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. S. For some villages in Iran, see Badam (disambiguation). Liquid and solid meal replacement products differentially affect postprandial appetite and food intake in older adults. Heimbach. 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. Cavallo, Masako Horino, William J. CrossRef 126 Patrick Mullie, P Clarys. (2015) The relationship between sweetened beverage consumption and risk of heart failure in men. Jenkins, Vasanti Malik, Miguel A. L. 2016. Minnis. CrossRef 101 JoEllen Wilbur, Arlene Michaels Miller, Louis Fogg, Judith McDevitt, Cynthia M. In botanical terms, it is not a nut but a drupe. 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. Tworoger, Frank B. (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. Bischoff, Y. P. A. 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. Atlanta: Centers for Disease Control and Prevention, March 2001. Eales. Barazzoni, N. CrossRef 53 Anne Raben. CrossRef 150 Filippa Juul, Erik Hemmingsson. Francine Laden for comments during the preparation of an early version of the manuscript, and Dr. Sutin, Antonio Terracciano. CrossRef 14 Satya Dash. Although dietary questionnaires specified portion sizes, residual, unmeasured differences in portion sizes among participants might account for additional independent effects on energy balance. McCarthy. 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. Reductions in dietary energy density are associated with weight loss in overweight and obese participants in the PREMIER trial. (2016) Mortality outcomes associated with intake of fast-food items and sugar-sweetened drinks among older adults in the Vitamins and Lifestyle (VITAL) study. Excess weight and the risk of incident coronary heart disease among men and women. Adobe Flash Player is required to view this feature. Yogurt consumption was also associated with less weight gain in all three cohorts. Hu, Steven C Moore. Just, Gnel Gabrielyan. Conversely, the ranges of dietary intakes were broad and overlapped with national estimates. Skim milk compared with a fruit drink acutely reduces appetite and energy intake in overweight men and women. (2017) Modelling body weight, dieting and obesity traps. 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. (2017) Associations of Cooking With Dietary Intake and Obesity Among Supplemental Nutrition Assistance Program Participants. Multivariable models were used to adjust for age, baseline body-mass index in each 4-year period, and all lifestyle factors simultaneously. Swithers. 2017. Poti. Wong, E. CrossRef 21 Mariana Souza Lopes, Luana Caroline dos Santos, Aline Cristine Souza Lopes, Mery Natali Silva Abreu. 2017. Krauss, Daan Kromhout, David J. Franks, Kaumudi Joshipura, Jeremy Pomeroy, Cristina Palacios. 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 ).
