The Consumption of Beef on Appetite and Cognitive Function
NCT ID: NCT02614729
Last Updated: 2019-07-08
Study Results
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View full resultsBasic Information
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COMPLETED
NA
35 participants
INTERVENTIONAL
2014-01-31
2015-05-31
Brief Summary
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The purpose of the sub-study is to determine whether the daily consumption of protein-rich meals containing the same amount of high quality, lean beef products improves appetite control and cognitive function during a modest energy restriction, weight loss diet.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
PREVENTION
SINGLE
Study Groups
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Energy Balance Comparison
Participants will randomly consume 4 eucaloric diets for 7 consecutive days/treatment. Energy levels for all diets are established according to needs for energy balance.
Interventions:
Standard Protein-Plant, Even Distribution (SP-PLANT-EVEN); Standard Protein-Beef, Even Distribution (SP-BEEF-EVEN); High Protein-Beef, Even Distribution (HP-BEEF-EVEN); High Protein-Beef, Uneven Distribution (HP-BEEF-UNEVEN)
Standard Protein-Plant, Even Distribution (SP-PLANT-EVEN)
Diet contains all plant proteins. Meals are evenly distributed throughout the day.
Standard Protein-Beef, Even Distribution (SP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
High Protein-Beef, Even Distribution (HP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
High Protein-Beef, Uneven Distribution (HP-BEEF-UNEVEN)
Diet contains combination of beef and plant proteins. Meals are unevenly distributed throughout the day.
Energy Restriction Comparison
Participants will randomly consume 3 energy restriction diets (1250 kcal/day) for 7 consecutive days/treatment. Energy levels for all diets are established according to needs for energy restriction.
Interventions:
Standard Protein-Plant, Even Distribution (SP-PLANT-EVEN); Standard Protein-Beef, Even Distribution (SP-BEEF-EVEN); High Protein-Beef, Even Distribution (HP-BEEF-EVEN)
Standard Protein-Plant, Even Distribution (SP-PLANT-EVEN)
Diet contains all plant proteins. Meals are evenly distributed throughout the day.
Standard Protein-Beef, Even Distribution (SP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
High Protein-Beef, Even Distribution (HP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
Interventions
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Standard Protein-Plant, Even Distribution (SP-PLANT-EVEN)
Diet contains all plant proteins. Meals are evenly distributed throughout the day.
Standard Protein-Beef, Even Distribution (SP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
High Protein-Beef, Even Distribution (HP-BEEF-EVEN)
Diet contains combination of beef and plant proteins. Meals are evenly distributed throughout the day.
High Protein-Beef, Uneven Distribution (HP-BEEF-UNEVEN)
Diet contains combination of beef and plant proteins. Meals are unevenly distributed throughout the day.
Eligibility Criteria
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Inclusion Criteria
* Ages: 18-52 y
* BMI: 25-32 kg/m2
* No metabolic, hormonal, and/or neural conditions/diseases that influence metabolism, appetite, or cognition
* No blood donations to American Red Cross within past 6 months
* No medication that would influence directly appetite or cognition
* No change in any medications (over the past 3 months)
* Non-smoking (for the past year)
* Not pregnant within the past 6 months (or planning to become pregnant during study)
* Have not given birth and/or lactating within the past 6 months
* Normal menstrual cycles between 26-32 days in duration; 5 menstrual cycles within the past 6 months; or able to provide documentation of oral/hormonal contraceptive use which contains low-dose estrogen/progesterone to maintain continuous levels throughout the 28-day cycle (i.e., no placebos)
* Not clinically diagnosed with an eating disorder
* No weight loss/gain (≥10 lb. in the past 6 months)
* No past history of surgical interventions for the treatment of obesity
* No allergies and/or aversions to the study foods, particularly beef
* Consumes ≤ 800 mg caffeine/day
* Of this, ≤260 mg caffeine is consumed prior to lunch (\~12 oz. Starbucks coffee)
* Not currently and/or previously on a specific diet including high protein, vegan, vegetarian, etc.
* Willing and able to consume all study foods
* Habitually consumes breakfast, lunch, and dinner \>4 days/week
* No history of drug abuse or alcohol abuse (i.e., \>14 drinks/week; 1 drink=12 oz. beer; 5 oz. wine; 1.5 oz. liquor)
* Displays a score of \<4 on the Three Factor Eating Habits Questionnaire (TFEQ)
* Conventional (typical) and consistent sleep patterns
* awake hours somewhere between 5 am - 11 pm with no afternoon naps
* rates quality of sleep as Fairly to Very Good on the Pittsburg Sleep Quality Index (PSQI)
* averages ≥ 6 sleep hours/night over the past month
* Displays a Profile of Mood State 2nd Edition (POMS2; 60-item) Depression-Dejection Scale score within 1.5 SD of the age, gender, and racial-specific normative mean (Nyenhuis et al., 1999; Petterson K et al., 2006)
* Obtained a "Yes" on the validity indicator and displayed a score of \>70 (\>2%) on the CNS Vital Signs Battery
* Sedentary (i.e., limited purposeful physical activity)
* Willing and able to maintain current inactivity patterns throughout the study
* Willing and able to follow all study procedures
* Generally healthy, as assessed from the medical history questionnaire
Exclusion Criteria
* Ages: \<18 or \>52 y
* BMI: \<25 or \>32 kg/m2
* Any metabolic, hormonal, and/or neural conditions/diseases that influence metabolism, appetite, or cognition
* Have donated blood to American Red Cross within past 6 months
* Medication that would influence directly appetite or cognition
* Change in medications (over the past 3 months)
* Have smoked in the past year
* Pregnant within the past 6 months (or planning to become pregnant during study)
* Have given birth and/or lactating within the past 6 months
* Abnormal menstrual cycles \[not between 26-32 days in duration; or not 5-6 menstrual cycles within the past 6 months; or not able to provide documentation of oral/hormonal contraceptive use which contains low-dose estrogen/progesterone to maintain continuous levels throughout the 28-day cycle (i.e., no placebos)\]
* Clinically diagnosed with an eating disorder
* Weight loss/gain (≥10 lb. in the past 6 months)
* Past history of surgical interventions for the treatment of obesity
* Allergies and/or aversions to the study foods, particularly beef
* Consumes \> 800 mg caffeine/day
* Or, of caffeine consumed, \>260 mg caffeine is consumed prior to lunch (\~12 oz. Starbucks coffee)
* Currently and/or previously on a specific diet including high protein, vegan, vegetarian, etc.
* Unwilling and/or unable to consume all study foods
* Habitually consumes breakfast, lunch, and dinner \<4 days/week
* History of drug abuse or alcohol abuse (i.e., \>14 drinks/week; 1 drink=12 oz. beer; 5 oz. wine; 1.5 oz. liquor)
* Displays a score of \>4 on the Three Factor Eating Habits Questionnaire (TFEQ)
* Unconventional (atypical) and/or inconsistent sleep patterns
* awake hours not somewhere between 5 am - 11 pm and/or afternoon naps
* does not rate quality of sleep as Fairly to Very Good on the Pittsburg Sleep Quality Index (PSQI)
* averages \< 6 sleep hours/night over the past month
* Does not display a Profile of Mood State 2nd Edition (POMS2; 60-item) Depression-Dejection Scale score within 1.5 SD of the age, gender, and racial-specific normative mean (Nyenhuis et al., 1999; Petterson K et al., 2006)
* Did not obtain a "Yes" on the validity indicator and/or did not display a score of \>70 (\>2%) on the CNS Vital Signs Battery
* Not sedentary (i.e., purposeful physical activity)
* Unwilling and/or unable to maintain current inactivity patterns throughout the study
* Unwilling and/or unable to follow all study procedures
* Not generally healthy, as assessed from the medical history questionnaire
18 Years
52 Years
FEMALE
Yes
Sponsors
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National Cattlemen's Beef Association
INDUSTRY
University of Missouri-Columbia
OTHER
Responsible Party
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Heather Leidy
Assistant Professor
Principal Investigators
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Heather J Leidy, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Missouri-Columbia
References
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Leidy HJ, Clifton PM, Astrup A, Wycherley TP, Westerterp-Plantenga MS, Luscombe-Marsh ND, Woods SC, Mattes RD. The role of protein in weight loss and maintenance. Am J Clin Nutr. 2015 Jun;101(6):1320S-1329S. doi: 10.3945/ajcn.114.084038. Epub 2015 Apr 29.
Holt SH, Miller JC, Petocz P, Farmakalidis E. A satiety index of common foods. Eur J Clin Nutr. 1995 Sep;49(9):675-90.
Leidy HJ, Carnell NS, Mattes RD, Campbell WW. Higher protein intake preserves lean mass and satiety with weight loss in pre-obese and obese women. Obesity (Silver Spring). 2007 Feb;15(2):421-9. doi: 10.1038/oby.2007.531.
Layman DK, Boileau RA, Erickson DJ, Painter JE, Shiue H, Sather C, Christou DD. A reduced ratio of dietary carbohydrate to protein improves body composition and blood lipid profiles during weight loss in adult women. J Nutr. 2003 Feb;133(2):411-7. doi: 10.1093/jn/133.2.411.
Johnston CS, Tjonn SL, Swan PD. High-protein, low-fat diets are effective for weight loss and favorably alter biomarkers in healthy adults. J Nutr. 2004 Mar;134(3):586-91. doi: 10.1093/jn/134.3.586.
Mamerow MM, Mettler JA, English KL, Casperson SL, Arentson-Lantz E, Sheffield-Moore M, Layman DK, Paddon-Jones D. Dietary protein distribution positively influences 24-h muscle protein synthesis in healthy adults. J Nutr. 2014 Jun;144(6):876-80. doi: 10.3945/jn.113.185280. Epub 2014 Jan 29.
Leidy HJ, Bossingham MJ, Mattes RD, Campbell WW. Increased dietary protein consumed at breakfast leads to an initial and sustained feeling of fullness during energy restriction compared to other meal times. Br J Nutr. 2009 Mar;101(6):798-803. doi: 10.1017/s0007114508051532.
Hoyland A, Dye L, Lawton CL. A systematic review of the effect of breakfast on the cognitive performance of children and adolescents. Nutr Res Rev. 2009 Dec;22(2):220-43. doi: 10.1017/S0954422409990175.
Benau EM, Orloff NC, Janke EA, Serpell L, Timko CA. A systematic review of the effects of experimental fasting on cognition. Appetite. 2014 Jun;77:52-61. doi: 10.1016/j.appet.2014.02.014. Epub 2014 Feb 27.
Spring B, Maller O, Wurtman J, Digman L, Cozolino L. Effects of protein and carbohydrate meals on mood and performance: interactions with sex and age. J Psychiatr Res. 1982-1983;17(2):155-67. doi: 10.1016/0022-3956(82)90017-6.
Jakobsen LH, Kondrup J, Zellner M, Tetens I, Roth E. Effect of a high protein meat diet on muscle and cognitive functions: a randomised controlled dietary intervention trial in healthy men. Clin Nutr. 2011 Jun;30(3):303-11. doi: 10.1016/j.clnu.2010.12.010. Epub 2011 Jan 15.
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Finnigan F, Hammersley R, Millar K. Effects of meal composition on blood alcohol level, psychomotor performance and subjective state after ingestion of alcohol. Appetite. 1998 Dec;31(3):361-75. doi: 10.1006/appe.1998.0168.
Nyenhuis DL, Yamamoto C, Luchetta T, Terrien A, Parmentier A. Adult and geriatric normative data and validation of the profile of mood states. J Clin Psychol. 1999 Jan;55(1):79-86. doi: 10.1002/(sici)1097-4679(199901)55:13.0.co;2-7.
Patterson K, Young C, Woods SP, Vigil O, Grant I, Atkinson JH; HIV Neurobehavioral Research Center Group. Screening for major depression in persons with HIV infection: the concurrent predictive validity of the Profile of Mood States Depression-Dejection Scale. Int J Methods Psychiatr Res. 2006 Jun;15(2):75-82. doi: 10.1002/mpr.184.
Paddon-Jones D, Leidy H. Dietary protein and muscle in older persons. Curr Opin Clin Nutr Metab Care. 2014 Jan;17(1):5-11. doi: 10.1097/MCO.0000000000000011.
White MA, Whisenhunt BL, Williamson DA, Greenway FL, Netemeyer RG. Development and validation of the food-craving inventory. Obes Res. 2002 Feb;10(2):107-14. doi: 10.1038/oby.2002.17.
Gualtieri CT, Johnson LG. Reliability and validity of a computerized neurocognitive test battery, CNS Vital Signs. Arch Clin Neuropsychol. 2006 Oct;21(7):623-43. doi: 10.1016/j.acn.2006.05.007. Epub 2006 Oct 2.
Leidy HJ, Tang M, Armstrong CL, Martin CB, Campbell WW. The effects of consuming frequent, higher protein meals on appetite and satiety during weight loss in overweight/obese men. Obesity (Silver Spring). 2011 Apr;19(4):818-24. doi: 10.1038/oby.2010.203. Epub 2010 Sep 16.
Leidy HJ, Armstrong CL, Tang M, Mattes RD, Campbell WW. The influence of higher protein intake and greater eating frequency on appetite control in overweight and obese men. Obesity (Silver Spring). 2010 Sep;18(9):1725-32. doi: 10.1038/oby.2010.45. Epub 2010 Mar 25.
Weigle DS, Breen PA, Matthys CC, Callahan HS, Meeuws KE, Burden VR, Purnell JQ. A high-protein diet induces sustained reductions in appetite, ad libitum caloric intake, and body weight despite compensatory changes in diurnal plasma leptin and ghrelin concentrations. Am J Clin Nutr. 2005 Jul;82(1):41-8. doi: 10.1093/ajcn.82.1.41.
Leidy HJ, Todd CB, Zino AZ, Immel JE, Mukherjea R, Shafer RS, Ortinau LC, Braun M. Consuming High-Protein Soy Snacks Affects Appetite Control, Satiety, and Diet Quality in Young People and Influences Select Aspects of Mood and Cognition. J Nutr. 2015 Jul;145(7):1614-22. doi: 10.3945/jn.115.212092. Epub 2015 May 20.
Zeng YC, Li SM, Xiong GL, Su HM, Wan JC. Influences of protein to energy ratios in breakfast on mood, alertness and attention in the healthy undergraduate students. Health 3(6): 383-393. 2011
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Piacquadio KA, Gwin JA, Leidy HJ. A Higher-Protein, Energy Restriction Diet Containing 4 Servings of Fresh, Lean Beef per Day Does Not Negatively Influence Circulating miRNAs Associated with Cardiometabolic Disease Risk in Women with Overweight. Curr Dev Nutr. 2024 Aug 18;8(9):104442. doi: 10.1016/j.cdnut.2024.104442. eCollection 2024 Sep.
Braden ML, Gwin JA, Leidy HJ. A Diet Containing Animal Source Protein as Fresh, Lean Beef Is More Well Liked and Promotes Healthier Eating Behavior Compared with Plant-Based Alternatives in Women with Overweight. Curr Dev Nutr. 2024 Jul 14;8(8):104415. doi: 10.1016/j.cdnut.2024.104415. eCollection 2024 Aug.
Piacquadio KA, Margolis LM, Gwin JA, Leidy HJ. Higher Expression of miR-15b-5p with Inclusion of Fresh, Lean Beef as Part of a Healthy Dietary Pattern Is Inversely Associated with Markers of Cardiometabolic Disease Risk. J Nutr. 2024 Jun;154(6):1758-1765. doi: 10.1016/j.tjnut.2024.04.026. Epub 2024 Apr 25.
Gwin JA, Maki KC, Alwattar AY, Leidy HJ. Examination of Protein Quantity and Protein Distribution across the Day on Ad Libitum Carbohydrate and Fat Intake in Overweight Women. Curr Dev Nutr. 2017 Oct 25;1(12):e001933. doi: 10.3945/cdn.117.001933. eCollection 2017 Dec.
Gwin JA, Maki KC, Leidy HJ. Increased Protein Consumption during the Day from an Energy-Restricted Diet Augments Satiety but Does Not Reduce Daily Fat or Carbohydrate Intake on a Free-Living Test Day in Overweight Women. J Nutr. 2017 Dec;147(12):2338-2346. doi: 10.3945/jn.117.255554. Epub 2017 Oct 25.
Other Identifiers
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0039674
Identifier Type: -
Identifier Source: org_study_id
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