The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been endorsed by the ANZCTR. Before participating in a study, talk to your health care provider and refer to this information for consumers
Trial details imported from ClinicalTrials.gov

For full trial details, please see the original record at https://clinicaltrials.gov/show/NCT01495832




Registration number
NCT01495832
Ethics application status
Date submitted
16/12/2011
Date registered
20/12/2011
Date last updated
25/09/2014

Titles & IDs
Public title
Impact of Pulse-enriched Foods on Cognitive Function and Cardiometabolic Health in Obese Adults
Scientific title
Impact of Pulse-enriched Foods on Cognitive Function and Cardiometabolic Health in Obese Adults
Secondary ID [1] 0 0
B2001:084
Universal Trial Number (UTN)
Trial acronym
PULSA-2011
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Obesity 0 0
Condition category
Condition code
Diet and Nutrition 0 0 0 0
Obesity
Metabolic and Endocrine 0 0 0 0
Other metabolic disorders

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Other interventions - Pulse Group
Other interventions - Control Group

Experimental: Pulse Group - The pulse group will consume pulse-enriched foods designed to deliver ½ cup of pulses per day for 12 weeks.

Active Comparator: Control Group - The control group will consume comparator foods for 12 weeks.


Other interventions: Pulse Group
The pulse group will consume pulse-enriched foods designed to deliver ½ cup of pulses per day for 12 weeks.

Other interventions: Control Group
The control group will consume comparator foods for 12 weeks.

Intervention code [1] 0 0
Other interventions
Comparator / control treatment
Control group

Outcomes
Primary outcome [1] 0 0
Vascular Function - Vascular function will be assessed non-invasively (at baseline, Week 6, and Week 12) with measurement of arterial compliance (elasticity) by pulse wave analysis and pulse wave velocity. Measurement of arterial vasodilation will be done non-invasively to evaluate endothelial cells which line the blood vessels that regulate blood flow. Blood samples will be taken to assess markers of vascular function.
Timepoint [1] 0 0
12 weeks
Primary outcome [2] 0 0
Cerebral Blood Flow Velocity (Australian Site only) - Cerebral blood flow velocity will be assessed (baseline , Week 6, Week 12) by transcranial Doppler ultrasonography. This will serve as an index of arterial vasodilator responsiveness in the cerebral circulation. This will be performed by the Australian site only.
Timepoint [2] 0 0
12 Weeks
Secondary outcome [1] 0 0
Cognitive Function - A selection of cognitive tests will be administered (baseline, Week 6, and Week 12) by a qualified member of the study team to assess varying aspects of the participant's level of functioning cognition.
Timepoint [1] 0 0
12 weeks

Eligibility
Key inclusion criteria
- Male or females, between 50-80 years of age

- Body Mass Index (BMI) of >25 kg/m2

- Must be on a stable regime for the past 6 months if taking medications or supplements
for elevated lipids, blood pressure, glucose management, mood, pain, or insomnia

- Consume 1 or less servings of pulses per week

- Able to read and understand English

- Willing to comply with the protocol requirements

- Willing to provide informed consent.
Minimum age
50 Years
Maximum age
80 Years
Gender
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
- Body weight =135 kg (since this exceeds the capability for Dual Energy X-ray
Absorptiometry, i.e, DEXA scanning to assess body composition)

- Established cardiovascular, liver, or kidney disease

- Uncontrolled diabetes (hemoglobin HbA1c >8)

- A score of =23 on the Mini Mental State Examination

- Use of appetite suppressants or Orlistat (Xenical)

- Inability to consume pulse-enriched foods (i.e., beans, peas, chickpeas, and lentils)
due to allergies or severe gastrointestinal reactions

- Pregnancy

- Smoking or only recently quit smoking (smoked any cigarettes within the last 12
months)

- Weight loss of =3kg of body weight within the 6 months prior to enrolling in the study

- Adherence to a weight loss diet or physical activity program designed to facilitate
weight loss

- Acute or terminal illness.

Study design
Purpose of the study
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Masking / blinding
Open (masking not used)
Who is / are masked / blinded?



Intervention assignment
Parallel
Other design features
Phase
Not Applicable
Type of endpoint(s)
Statistical methods / analysis

Recruitment
Recruitment status
Completed
Data analysis
Reason for early stopping/withdrawal
Other reasons
Date of first participant enrolment
Anticipated
Actual
Date of last participant enrolment
Anticipated
Actual
Date of last data collection
Anticipated
Actual
Sample size
Target
Accrual to date
Final
Recruitment in Australia
Recruitment state(s)
SA
Recruitment hospital [1] 0 0
University of South Australia, Nutritional Psysiology Research Centre, Sansom Institute for Health - Adelaide
Recruitment postcode(s) [1] 0 0
5001 - Adelaide
Recruitment outside Australia
Country [1] 0 0
Canada
State/province [1] 0 0
Manitoba

Funding & Sponsors
Primary sponsor type
Other
Name
University of Manitoba
Address
Country
Other collaborator category [1] 0 0
Other
Name [1] 0 0
University of South Australia
Address [1] 0 0
Country [1] 0 0

Ethics approval
Ethics application status

Summary
Brief summary
The Canadian population, as is the case in most developed countries, is ageing and becoming
increasingly overweight and/or obese. Both ageing and obesity are associated with reduced
cognitive performance which can impact adversely on the ability to undertake daily activities
and increases the risk of loss of independent living and reduced quality of life. The
investigators predict that consumption of ½ cup of pulses per day for 12 weeks will improve
cognitive function in older overweight/obese adults and thus decrease the rate of cognitive
decline that occurs in this at-risk population.
Trial website
https://clinicaltrials.gov/show/NCT01495832
Trial related presentations / publications
Katzmarzyk PT. The Canadian obesity epidemic, 1985-1998. CMAJ. 2002 Apr 16;166(8):1039-40.
Raine K. Overweight and obesity in Canada: a population health perspective. Alberta: Centre for Health Promotion Studies, University of Alberta, 2004.
Cameron AJ, Welborn TA, Zimmet PZ, Dunstan DW, Owen N, Salmon J, Dalton M, Jolley D, Shaw JE. Overweight and obesity in Australia: the 1999-2000 Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Med J Aust. 2003 May 5;178(9):427-32. Erratum in: Med J Aust. 2004 Apr 19;180(8):418.
Tjepkema M. Adult obesity in Canada: measured height and weight. Nutrition: Findings from the Canadian Community Health Survey. Ottawa, 2005.
Australian Bureau of Statistics. National Health Survey 2007-2008. In: Australian Institute of Health and Welfare, ed. Canberra: Commonwealth of Australia, 2009.
Poirier P, Giles TD, Bray GA, Hong Y, Stern JS, Pi-Sunyer FX, Eckel RH; American Heart Association; Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. Obesity and cardiovascular disease: pathophysiology, evaluation, and effect of weight loss: an update of the 1997 American Heart Association Scientific Statement on Obesity and Heart Disease from the Obesity Committee of the Council on Nutrition, Physical Activity, and Metabolism. Circulation. 2006 Feb 14;113(6):898-918. Epub 2005 Dec 27. Review.
Elias MF, Elias PK, Sullivan LM, Wolf PA, D'Agostino RB. Lower cognitive function in the presence of obesity and hypertension: the Framingham heart study. Int J Obes Relat Metab Disord. 2003 Feb;27(2):260-8.
Elias MF, Elias PK, Sullivan LM, Wolf PA, D'Agostino RB. Obesity, diabetes and cognitive deficit: The Framingham Heart Study. Neurobiol Aging. 2005 Dec;26 Suppl 1:11-6. Epub 2005 Oct 11.
Kilander L, Nyman H, Boberg M, Lithell H. Cognitive function, vascular risk factors and education. A cross-sectional study based on a cohort of 70-year-old men. J Intern Med. 1997 Oct;242(4):313-21.
Sørensen TI, Sonne-Holm S, Christensen U, Kreiner S. Reduced intellectual performance in extreme overweight. Hum Biol. 1982 Dec;54(4):765-75.
Health Canada and Interdepartmental Committee on Aging and Seniors Issues. Canada's Aging Population. In: Minister of Public Works and Government Services, ed.: Health Canada, 2002.
Australian Bureau of Statistics. Population projections Australia 2001-2101. Canberra: Commonwealth of Australia, 2003.
Lakatta EG, Levy D. Arterial and cardiac aging: major shareholders in cardiovascular disease enterprises: Part I: aging arteries: a "set up" for vascular disease. Circulation. 2003 Jan 7;107(1):139-46. Review.
Versari D, Daghini E, Virdis A, Ghiadoni L, Taddei S. The ageing endothelium, cardiovascular risk and disease in man. Exp Physiol. 2009 Mar;94(3):317-21. doi: 10.1113/expphysiol.2008.043356. Epub 2008 Sep 19.
Guidelines for the evaluation of dementia and age-related cognitive decline. American Psychological Association Presidential Task Force. Am Psychol. 1998 Dec;53(12):1298-303.
Fjeldstad AS, Montgomery PS, Gardner AW. Age-related differences in arterial compliance are independent of body mass index. Angiology. 2008 Aug-Sep;59(4):454-8. doi: 10.1177/0003319707306455. Epub 2008 Apr 2.
Wildman RP, Mackey RH, Bostom A, Thompson T, Sutton-Tyrrell K. Measures of obesity are associated with vascular stiffness in young and older adults. Hypertension. 2003 Oct;42(4):468-73. Epub 2003 Sep 2.
Fujiwara Y, Chaves PH, Takahashi R, Amano H, Yoshida H, Kumagai S, Fujita K, Wang DG, Shinkai S. Arterial pulse wave velocity as a marker of poor cognitive function in an elderly community-dwelling population. J Gerontol A Biol Sci Med Sci. 2005 May;60(5):607-12.
Hanon O, Haulon S, Lenoir H, Seux ML, Rigaud AS, Safar M, Girerd X, Forette F. Relationship between arterial stiffness and cognitive function in elderly subjects with complaints of memory loss. Stroke. 2005 Oct;36(10):2193-7. Epub 2005 Sep 8.
Nagai K, Akishita M, Machida A, Sonohara K, Ohni M, Toba K. Correlation between pulse wave velocity and cognitive function in nonvascular dementia. J Am Geriatr Soc. 2004 Jun;52(6):1037-8.
Scuteri A, Brancati AM, Gianni W, Assisi A, Volpe M. Arterial stiffness is an independent risk factor for cognitive impairment in the elderly: a pilot study. J Hypertens. 2005 Jun;23(6):1211-6.
Fukuhara M, Matsumura K, Ansai T, Takata Y, Sonoki K, Akifusa S, Wakisaka M, Hamasaki T, Fujisawa K, Yoshida A, Fujii K, Iida M, Takehara T. Prediction of cognitive function by arterial stiffness in the very elderly. Circ J. 2006 Jun;70(6):756-61.
Kim YS, Kim DH, Choi BH, Sohn EH, Lee AY. Relationship between brachial-ankle pulse wave velocity and cognitive function in an elderly community-dwelling population with metabolic syndrome. Arch Gerontol Geriatr. 2009 Jul-Aug;49(1):176-9. doi: 10.1016/j.archger.2008.07.004. Epub 2008 Sep 10.
Scuteri A, Tesauro M, Appolloni S, Preziosi F, Brancati AM, Volpe M. Arterial stiffness as an independent predictor of longitudinal changes in cognitive function in the older individual. J Hypertens. 2007 May;25(5):1035-40.
Waldstein SR, Rice SC, Thayer JF, Najjar SS, Scuteri A, Zonderman AB. Pulse pressure and pulse wave velocity are related to cognitive decline in the Baltimore Longitudinal Study of Aging. Hypertension. 2008 Jan;51(1):99-104. Epub 2007 Nov 19.
Anderson JW, Story L, Sieling B, Chen WJ, Petro MS, Story J. Hypocholesterolemic effects of oat-bran or bean intake for hypercholesterolemic men. Am J Clin Nutr. 1984 Dec;40(6):1146-55.
Mathur KS, Khan MA, Sharma RD. Hypocholesterolaemic effect of Bengal gram: a long-term study in man. Br Med J. 1968 Jan 6;1(5583):30-1.
Anderson JW, Gustafson NJ, Spencer DB, Tietyen J, Bryant CA. Serum lipid response of hypercholesterolemic men to single and divided doses of canned beans. Am J Clin Nutr. 1990 Jun;51(6):1013-9.
Duane WC. Effects of legume consumption on serum cholesterol, biliary lipids, and sterol metabolism in humans. J Lipid Res. 1997 Jun;38(6):1120-8.
Jenkins DJ, Wong GS, Patten R, Bird J, Hall M, Buckley GC, McGuire V, Reichert R, Little JA. Leguminous seeds in the dietary management of hyperlipidemia. Am J Clin Nutr. 1983 Oct;38(4):567-73.
Shutler SM, Bircher GM, Tredger JA, Morgan LM, Walker AF, Low AG. The effect of daily baked bean (Phaseolus vulgaris) consumption on the plasma lipid levels of young, normo-cholesterolaemic men. Br J Nutr. 1989 Mar;61(2):257-65.
Nagata C, Takatsuka N, Kurisu Y, Shimizu H. Decreased serum total cholesterol concentration is associated with high intake of soy products in Japanese men and women. J Nutr. 1998 Feb;128(2):209-13.
Anderson JW, Major AW. Pulses and lipaemia, short- and long-term effect: potential in the prevention of cardiovascular disease. Br J Nutr. 2002 Dec;88 Suppl 3:S263-71.
Bazzano LA, He J, Ogden LG, Loria C, Vupputuri S, Myers L, Whelton PK. Legume consumption and risk of coronary heart disease in US men and women: NHANES I Epidemiologic Follow-up Study. Arch Intern Med. 2001 Nov 26;161(21):2573-8.
Villegas R, Gao YT, Yang G, Li HL, Elasy TA, Zheng W, Shu XO. Legume and soy food intake and the incidence of type 2 diabetes in the Shanghai Women's Health Study. Am J Clin Nutr. 2008 Jan;87(1):162-7.
Feskens EJ, Virtanen SM, Räsänen L, Tuomilehto J, Stengård J, Pekkanen J, Nissinen A, Kromhout D. Dietary factors determining diabetes and impaired glucose tolerance. A 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care. 1995 Aug;18(8):1104-12.
Azadbakht L, Mirmiran P, Shiva N, Azizi F. General obesity and central adiposity in a representative sample of Tehranian adults: prevalence and determinants. Int J Vitam Nutr Res. 2005 Jul;75(4):297-304.
Newby PK, Muller D, Hallfrisch J, Qiao N, Andres R, Tucker KL. Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr. 2003 Jun;77(6):1417-25.
Schulz M, Kroke A, Liese AD, Hoffmann K, Bergmann MM, Boeing H. Food groups as predictors for short-term weight changes in men and women of the EPIC-Potsdam cohort. J Nutr. 2002 Jun;132(6):1335-40.
Jimenez-Cruz A, Bacardi-Gascon M, Turnbull WH, Rosales-Garay P, Severino-Lugo I. A flexible, low-glycemic index mexican-style diet in overweight and obese subjects with type 2 diabetes improves metabolic parameters during a 6-week treatment period. Diabetes Care. 2003 Jul;26(7):1967-70.
Williams PG, Grafenauer SJ, O'Shea JE. Cereal grains, legumes, and weight management: a comprehensive review of the scientific evidence. Nutr Rev. 2008 Apr;66(4):171-82. doi: 10.1111/j.1753-4887.2008.00022.x. Review.
Pittaway JK, Ahuja KD, Robertson IK, Ball MJ. Effects of a controlled diet supplemented with chickpeas on serum lipids, glucose tolerance, satiety and bowel function. J Am Coll Nutr. 2007 Aug;26(4):334-40.
Pittaway JK, Ahuja KD, Cehun M, Chronopoulos A, Robertson IK, Nestel PJ, Ball MJ. Dietary supplementation with chickpeas for at least 5 weeks results in small but significant reductions in serum total and low-density lipoprotein cholesterols in adult women and men. Ann Nutr Metab. 2006;50(6):512-8. Epub 2006 Dec 21.
Nestel P, Cehun M, Chronopoulos A. Effects of long-term consumption and single meals of chickpeas on plasma glucose, insulin, and triacylglycerol concentrations. Am J Clin Nutr. 2004 Mar;79(3):390-5.
Pittaway JK, Robertson IK, Ball MJ. Chickpeas may influence fatty acid and fiber intake in an ad libitum diet, leading to small improvements in serum lipid profile and glycemic control. J Am Diet Assoc. 2008 Jun;108(6):1009-13. doi: 10.1016/j.jada.2008.03.009.
Zahradka, P., Guzman, R., Weighell, W., Wright, B., Baldwin, A., Louis, S., Rodriguez, D., and Taylor, C.G. 2009 Increased consumption of legumes improves arterial stiffness in peripheral vascular disease independent of blood pressure, weight and serum cholesterol. Experimental Biology 2009, April 18-22, New Orleans, LA. [oral presentation].
Bouchard C, Tremblay A, Leblanc C, Lortie G, Savard R, Thériault G. A method to assess energy expenditure in children and adults. Am J Clin Nutr. 1983 Mar;37(3):461-7.
Public notes

Contacts
Principal investigator
Name 0 0
Peter Zahradka, PhD
Address 0 0
University of Manitoba
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for public queries
Name 0 0
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for scientific queries

Summary results
Other publications