Seven Oaks Hospital Chronic Disease Innovation Centre
Winnipeg, Manitoba, R2V 3M3, Canada
NCT Number: NCT06614543
The goal of this clinical trial is to advance the development of the WI meal replacements by evaluating the acceptance and feasibility of the meal replacements within the Wellness Institute's Weight Loss Clinic program (WLC). The main questions it aims to answer are:
* To determine whether the incorporation of WI meal replacements into their weight loss clinic design is feasible. * To determine whether weight loss is supported by a plant-based meal replacement. * To assess efficacy of the meal replacements by measuring changes in lifestyle behaviours and risk factors for chronic disease compared to non-meal replacement weight loss program members. * To assess remission of diabetes and pre-diabetes.
Researchers will compare the WLC program plus meal replacements to the WLC program without the meal replacements to evaluate the implementation of the meal replacements into the WLC.
Participants will follow their WLC program for 16 weeks, and those in the intervention group will begin their meal replacements. Participants will have a choice on what type of meal replacement they will consume each day (either a bar or a shake) and will record this in the product consumption log.
Trial opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Winnipeg, Manitoba, R2V 3M3, Canada
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
These meal replacements provide plant-based protein, fibre and fatty acids that have been shown to have health benefits related to chronic disease.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Feasibility will be demonstrated if the following five criteria are met:
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Body weight will be measured in kg to the nearest 0.1 kg by an exercise professional.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Waist circumference in cm will be measured to the nearest 0.1 cm at the umbilicus, between the last rib and iliac crest using a fibreglass tape measured by an exercise professional.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Body Mass Index will be calculated using the formula BMI = kg/m2; where kg is the weight in kilograms and m2 is height in metres squared.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Using the Framingham Risk Score, cardiovascular risk will be calculated based on age, HDL-C, total cholesterol, systolic blood pressure, smoking status, and diabetes status to determine the participant's 10-year risk of cardiovascular disease and identification of metabolic syndrome.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Quality of life will be measured through the SF-36 quality of life questionnaire. The SF-36 measures nine areas: physical functioning, role functioning (emotional), role functioning (physical), energy/fatigue, emotional well-being, social functioning, pain, general health, and health change. A higher score indicates greater levels of quality of life.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Changes in medications, dose, unit and frequency will be captured to assess remission of diabetes and pre-diabetes.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Changes in hemaglobinA1C will be used to assess remission of diabetes and pre-diabetes. Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the hemoglobin A1C as a percentage according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Systolic blood pressure in mmHg is measured in triplicate, on the non-dominant arm in a sitting position by an exercise professional using a validated oscillometric blood pressure monitor.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diastolic blood pressure in mmHg is measured in triplicate, on the non-dominant arm in a sitting position by an exercise professional using a validated oscillometric blood pressure monitor.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Heart rate in beats per minute is measured in triplicate, on the non-dominant arm in a sitting position by an exercise professional using a validated oscillometric blood pressure monitor.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Measured using the International Physical Activity Questionnaire - Short Form - (IPAQ-S)
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Assessed using total active minutes per day as measured by multi-directional accelerometry for 5 days. Participants will be asked to wear the accelerometer at all times.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Dietary intake behaviours will be measured through The Mindful Eating Questionnaire. The Mindful Eating Questionnaire recognizing patterns of overeating or eating in response to stress, boredom, or other emotions. Scoring is based on five categories, which include Awareness (being aware of how food looks, tastes and smells); Distraction (focusing on other things while eating); Disinhibition (eating even when full); Emotional Response (eating in response to sadness or stress); and External Cues (eating in response to environmental cues, such as advertising)
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Changes in dietary intake behaviours will be measured through the Three Factor Eating Questionnaire which is comprised of 18 items, measuring uncontrolled eating, restrained eating and emotional eating. The higher the score represents more dependency to cognition, stress or emotion the eating patterns.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Number of meals will be captured with a meal being defined as food intake greater than 500 kcal. Dietary intake will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Number of snacks will be captured with a meal being defined as food intake less than 500 kcal. Dietary intake will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Energy will be measured in kCals and will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Protein will be measured in grams and will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Fat will be measured in grams and will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Available carbohydrates will be measured in grams and will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Fibre will be measured in grams and will be captured using the RxFood app. RxFood is a type of AI-driven, image based dietary assessment tool that has already demonstrated clinical benefits in various adult and pediatric clinical settings and in research as a data collection tool. Strong correlation and strength of agreement have been illustrated between RxFood and nutrient estimates from Esha's Research Nutrition analysis software, which is an industry choice for nutritional analysis and regulatory compliance (Jefferson et al, 2020).
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
An ActiGraph activity monitor will be used to measure sleep quality patterns for 5 days, with participants asked to wear the monitor at all times, including when they sleep.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Time frame: At Enrollment (Week 0) and End of Study (Week 16)
Diagnostic Services of Manitoba will collect and process the participants blood samples and measure the total cholesterol concentration in mmol/L according to their established protocols.
Contact information is provided by the study sponsor or research team.
Dr Dylan MacKay, PhD
CONTACT
Kathy Cherepak, BSc
CONTACT
University of Manitoba
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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