TOM BARANOWSKI to Diet
This is a "connection" page, showing publications TOM BARANOWSKI has written about Diet.
Connection Strength
9.717
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Diet Quality among Pre-Adolescent African American Girls in a Randomized Controlled Obesity Prevention Intervention Trial. Nutrients. 2023 Jun 12; 15(12).
Score: 0.510
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Perceptions About Health, Nutrition Knowledge, and MyPlate Food Categorization Among US Adolescents: A Qualitative Study. J Nutr Educ Behav. 2021 02; 53(2):110-119.
Score: 0.430
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Top food sources of percentage of energy, nutrients to limit and total gram amount consumed among US adolescents: National Health and Nutrition Examination Survey 2011-2014. Public Health Nutr. 2019 03; 22(4):661-671.
Score: 0.372
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Dietary Assessment with a Wearable Camera?among Children: Feasibility and?Intercoder Reliability. J Acad Nutr Diet. 2018 11; 118(11):2144-2153.
Score: 0.365
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Utility of eButton images for identifying food preparation behaviors and meal-related tasks in adolescents. Nutr J. 2018 02 24; 17(1):32.
Score: 0.354
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Culture and Diet Among Chinese American Children Aged 9-13?Years: A Qualitative Study. J Nutr Educ Behav. 2017 04; 49(4):275-284.e1.
Score: 0.326
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The IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) trial outcomes and process evaluations. Obes Rev. 2015 Dec; 16 Suppl 2:2-3.
Score: 0.303
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Vegetable parenting practices scale. Item response modeling analyses. Appetite. 2015 Aug; 91:190-9.
Score: 0.290
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Predicting use of effective vegetable parenting practices with the Model of Goal Directed Behavior. Public Health Nutr. 2015 Jun; 18(8):1389-96.
Score: 0.279
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Validation of a web-based questionnaire to assess the dietary intake of Brazilian children aged 7-10 years. J Hum Nutr Diet. 2015 Jan; 28 Suppl 1:93-102.
Score: 0.277
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Predicting use of ineffective vegetable parenting practices with the Model of Goal Directed Behavior. Public Health Nutr. 2015 Apr; 18(6):1028-35.
Score: 0.274
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Qualitative analysis of the contributions of nutritionists to the development of an online instrument for monitoring the food intake of schoolchildren. J Hum Nutr Diet. 2015 Jan; 28 Suppl 1:65-72.
Score: 0.267
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Developing technological solutions for dietary assessment in children and young people. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:1-4.
Score: 0.265
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School year versus summer differences in child weight gain: a narrative review. Child Obes. 2014 Feb; 10(1):18-24.
Score: 0.265
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Food Intake Recording Software System, version 4 (FIRSSt4): a self-completed 24-h dietary recall for children. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:66-71.
Score: 0.237
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How to engage children in self-administered dietary assessment programmes. J Hum Nutr Diet. 2014 Jan; 27 Suppl 1:5-9.
Score: 0.237
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Components of the diet associated with child adiposity: a cross-sectional study. J Am Coll Nutr. 2011 Dec; 30(6):536-46.
Score: 0.230
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Understanding the behavioral linkages needed for designing effective interventions to increase fruit and vegetable intake in diverse populations. J Am Diet Assoc. 2011 Oct; 111(10):1472-5.
Score: 0.227
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6-n-propylthiouracil taster status not related to reported cruciferous vegetable intake among ethnically diverse children. Nutr Res. 2011 Aug; 31(8):594-600.
Score: 0.224
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Effects of goal setting on dietary and physical activity changes in the Boy Scout badge projects. Health Educ Behav. 2011 Oct; 38(5):521-9.
Score: 0.219
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Behavioral science in video games for children's diet and physical activity change: key research needs. J Diabetes Sci Technol. 2011 Mar 01; 5(2):229-33.
Score: 0.218
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Video game play, child diet, and physical activity behavior change a randomized clinical trial. Am J Prev Med. 2011 Jan; 40(1):33-8.
Score: 0.215
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Parental involvement in interventions to improve child dietary intake: a systematic review. Prev Med. 2010 Aug; 51(2):103-11.
Score: 0.206
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Testing theories of dietary behavior change in youth using the mediating variable model with intervention programs. J Nutr Educ Behav. 2009 Sep-Oct; 41(5):309-18.
Score: 0.196
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Formative research of a quick list for an automated self-administered 24-hour dietary recall. J Am Diet Assoc. 2007 Jun; 107(6):1002-7.
Score: 0.168
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Advances in basic behavioral research will make the most important contributions to effective dietary change programs at this time. J Am Diet Assoc. 2006 Jun; 106(6):808-11.
Score: 0.157
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Are precontemplators less likely to change their dietary behavior? A prospective analysis. Health Educ Res. 2003 Dec; 18(6):693-705.
Score: 0.132
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Are current health behavioral change models helpful in guiding prevention of weight gain efforts? Obes Res. 2003 Oct; 11 Suppl:23S-43S.
Score: 0.130
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Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med. 2003 Jan; 24(1):52-61.
Score: 0.124
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A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. Sensors (Basel). 2022 Feb 15; 22(4).
Score: 0.116
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A motivational interviewing intervention to increase fruit and vegetable intake through Black churches: results of the Eat for Life trial. Am J Public Health. 2001 Oct; 91(10):1686-93.
Score: 0.113
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Calibration of the food parenting practice (FPP) item bank: tools for improving the measurement of food parenting practices of parents of 5-12-year-old children. Int J Behav Nutr Phys Act. 2020 11 16; 17(1):140.
Score: 0.107
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Process evaluations of the 5-a-day projects. Health Educ Behav. 2000 Apr; 27(2):157-66.
Score: 0.102
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Dietary change through African American churches: baseline results and program description of the eat for life trial. J Cancer Educ. 2000; 15(3):156-63.
Score: 0.100
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Exploring food preparation practices in families with and without school-aged childhood cancer survivors. Public Health Nutr. 2020 02; 23(3):410-415.
Score: 0.099
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Best Practices for Conducting and Interpreting Studies to Validate Self-Report Dietary Assessment Methods. J Acad Nutr Diet. 2019 11; 119(11):1801-1816.
Score: 0.098
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Brazilian Children's Dietary Intake in Relation to Brazil's New Nutrition Guidelines: a Systematic Review. Curr Nutr Rep. 2019 06; 8(2):145-166.
Score: 0.096
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Advances and Controversies in Diet and Physical Activity Measurement in Youth. Am J Prev Med. 2018 10; 55(4):e81-e91.
Score: 0.091
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Food parenting practices for 5 to 12?year old children: a concept map analysis of parenting and nutrition experts input. Int J Behav Nutr Phys Act. 2017 09 11; 14(1):122.
Score: 0.086
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Parents' Qualitative Perspectives on Child Asking for Fruit and Vegetables. Nutrients. 2017 Jun 05; 9(6).
Score: 0.084
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The effectiveness of asking behaviors among 9-11 year-old children in increasing home availability and children's intake of fruit and vegetables: results from the Squire's Quest II self-regulation game intervention. Int J Behav Nutr Phys Act. 2017 Apr 21; 14(1):51.
Score: 0.083
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Parental involvement in exercise and diet interventions for childhood cancer survivors: a systematic review. Pediatr Res. 2016 09; 80(3):338-46.
Score: 0.078
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Creating action plans in a serious video game increases and maintains child fruit-vegetable intake: a randomized controlled trial. Int J Behav Nutr Phys Act. 2015 Mar 18; 12:39.
Score: 0.072
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An exploratory study on a chest-worn computer for evaluation of diet, physical activity and lifestyle. J Healthc Eng. 2015; 6(1):1-22.
Score: 0.071
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Butterfly Girls; promoting healthy diet and physical activity to young African American girls online: rationale and design. BMC Public Health. 2013 Aug 02; 13:709.
Score: 0.064
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The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute. J Acad Nutr Diet. 2012 Aug; 112(8):1134-7.
Score: 0.060
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Boy Scout 5-a-Day Badge: outcome results of a troop and Internet intervention. Prev Med. 2009 Dec; 49(6):518-26.
Score: 0.049
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Food, fun, and fitness internet program for girls: pilot evaluation of an e-Health youth obesity prevention program examining predictors of obesity. Prev Med. 2008 Nov; 47(5):494-7.
Score: 0.046
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Food, Fun and Fitness Internet program for girls: influencing log-on rate. Health Educ Res. 2008 Apr; 23(2):228-37.
Score: 0.042
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Squire's Quest: intervention changes occurred at lunch and snack meals. Appetite. 2005 Oct; 45(2):148-51.
Score: 0.037
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Physical activity and health enhancing dietary behaviors in young adults: Bogalusa Heart Study. Prev Med. 2005 Jul; 41(1):194-202.
Score: 0.035
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Changes in food group consumption patterns from childhood to young adulthood: the Bogalusa Heart Study. J Am Diet Assoc. 2004 Nov; 104(11):1684-91.
Score: 0.035
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Comparison of dietary intakes associated with metabolic syndrome risk factors in young adults: the Bogalusa Heart Study. Am J Clin Nutr. 2004 Oct; 80(4):841-8.
Score: 0.035
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Covariability in diet and physical activity in African-American girls. Obes Res. 2004 Sep; 12 Suppl:46S-54S.
Score: 0.035
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Relationship between physical activity and diet among African-American girls. Obes Res. 2004 Sep; 12 Suppl:55S-63S.
Score: 0.035
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Children's food consumption patterns have changed over two decades (1973-1994): The Bogalusa heart study. J Am Diet Assoc. 2004 Jul; 104(7):1127-40.
Score: 0.034
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Children's meal patterns have changed over a 21-year period: the Bogalusa Heart Study. J Am Diet Assoc. 2004 May; 104(5):753-61.
Score: 0.034
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Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring. IEEE Trans Cybern. 2024 Feb; 54(2):679-692.
Score: 0.033
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Misclassification associated with measurement error in the assessment of dietary intake. Public Health Nutr. 2003 Jun; 6(4):393-9.
Score: 0.032
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Influences on diet and physical activity among middle-class African American 8- to 10-year-old girls at risk of becoming obese. J Nutr Educ Behav. 2003 May-Jun; 35(3):115-23.
Score: 0.032
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Eating patterns, dietary quality and obesity. J Am Coll Nutr. 2001 Dec; 20(6):599-608.
Score: 0.029
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Social-environmental influences on children's diets: results from focus groups with African-, Euro- and Mexican-American children and their parents. Health Educ Res. 2000 Oct; 15(5):581-90.
Score: 0.026
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Gimme 5 fruit and vegetables for fun and health: process evaluation. Health Educ Behav. 2000 Apr; 27(2):167-76.
Score: 0.026
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Meal planning values impacted by the cancer experience in families with school-aged survivors-a qualitative exploration and recommendations for intervention development. Support Care Cancer. 2020 Mar; 28(3):1305-1313.
Score: 0.024
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Obesity and eating disorders in integrative prevention programmes for adolescents: protocol for a systematic review and meta-analysis. BMJ Open. 2018 04 19; 8(4):e020381.
Score: 0.022
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What Hispanic parents do to encourage and discourage 3-5 year old children to be active: a qualitative study using nominal group technique. Int J Behav Nutr Phys Act. 2013 Aug 06; 10:93.
Score: 0.016
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Feasibility of an obesity intervention for paediatric primary care targeting parenting and children: Helping HAND. Child Care Health Dev. 2013 Jan; 39(1):141-9.
Score: 0.014
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BMI from 3-6 y of age is predicted by TV viewing and physical activity, not diet. Int J Obes (Lond). 2005 Jun; 29(6):557-64.
Score: 0.009
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Availability, accessibility, and preferences for fruit, 100% fruit juice, and vegetables influence children's dietary behavior. Health Educ Behav. 2003 Oct; 30(5):615-26.
Score: 0.008
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Common design elements of the Girls health Enrichment Multi-site Studies (GEMS). Ethn Dis. 2003; 13(1 Suppl 1):S6-14.
Score: 0.008