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The Use of a Consumer-Based mHealth Dietary App and Health Coaching With Kidney Transplant Recipients

The Use of a Consumer-Based mHealth Dietary App and Health Coaching With Kidney Transplant Recipients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05151445
Acronym
TASK
Enrollment
20
Registered
2021-12-09
Start date
2021-03-01
Completion date
2023-12-31
Last updated
2024-10-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Kidney Transplant, Kidney Transplant; Complications

Brief summary

The purpose of the study is to test the feasibility mHealth dietary app + health coaching for improving primary outcomes (recruitment, retention, and adherence) and secondary outcomes (perceived stress \[ Perceived Stress Scale\], exercise self-efficacy\[Exercise Self-efficacy Scale\], vegetable intake \[Fruit, Vegetables, and Fiber Screen\] fat intake \[Lose-it Premium database\], carbohydrate intake \[Lose-it Premium database\], weight, \[Wi-Fi weight scale using the Lose-it Premium database\], and blood pressure \[Wi-Fi blood pressure cuff using the Lose-it Premium database\].

Detailed description

The proposed study seeks to shift the paradigm for promoting diet intake and physical activity using education and self-report to provide a powerful combination of mHealth dietary app and health coaching (set goals, provide ongoing feedback, and self-monitor behaviors). To the investigators knowledge, this is the first time a mHealth dietary app and health coaching intervention has been used in kidney transplant recipients to link real-time data for monitoring dietary intake and physical activity. The long-term goal of this work is to enhance well-being in kidney recipients via lifestyle self-management of care for dietary intake and physical activity to ultimately prevent chronic diseases. The proposed study is important because early weight gain after kidney transplant is associated with adverse effects on the transplanted kidney function resulting in increased health care cost and poor quality of life. Interventions are needed to monitor kidney transplant recipients diet and physical activity in real-time to prevent health decline.

Interventions

BEHAVIORALmHealth dietary app + health coaching intervention

The Lose-It app will be set up with Gmail accounts with unique unidentifiable codes developed by the research team. Participants be trained to enter their dietary intake and physical activity daily for 12-weeks. Participants will monitor their vegetable intake, fat intake, carbohydrate intake, weight, and blood pressure. Wi-Fi connected weight scales and blood pressure cuff will be supplied for weight and blood pressure monitoring. Participants will be taught how to sync the data from the scales and blood pressure cuff to the app for the research team to access. Participants will perform a return demonstration to confirm that they can record their dietary intake daily, physical activity, weight, and blood pressure using the Lose-It app. We also review with the participant the My Plate method for proper nutrition and the steps to distance conversion chart.

Sponsors

Ohio State University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* age 18 or older men and women * functioning KTR (not on dialysis) * ability to speak, read, and hear English, * possession of a smartphone capable of accessing and downloading a mHealth dietary app * Wi-Fi or Internet access, * greater than 3 months post-transplant (due to medication adjustments and decreased functional levels), * not hospitalized * capable of self-consent per capacity screening.

Exclusion criteria

* Participation in a weight loss program * participation in a structured exercise program * diagnosis of dementia.

Design outcomes

Primary

MeasureTime frameDescription
The Feasibility of the Study Recruitment for the StudyBaselineRecruitment (percent of participants approached to be in the study), will be recorded by the research assistant.
The Feasibility of Participant Retention for the StudyAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksRetention (percent of participants that dropped during the study), will be recorded by the research assistant.
The Feasibility of Adherence for Using the Lose- It App to Record DietWeekly for 12 weeksAdherence (percent to adhere to logging daily dietary intake) will be recorded continuously each day by the Lose-It app.
The Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeekly for 12 weeksAdherence (percent to adhere to logging daily physical activity) will be recorded continuously each day by the Lose-It app.

Secondary

MeasureTime frameDescription
Fat IntakeAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksThe participant will record their percent of fat intake each day into the Lose-it Premium application.
Carbohydrate IntakeAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksThe participant will record their percent of carbohydrate intake each day into the Lose-it Premium application.
Perceived Stress LevelAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksPerceived Stress Scale will be evaluated by using the Perceived Stress Scale (PSS).The PSS is a 10-item questionnaire using a Likert Scale to rate feelings of stress from 0 never to 4 very often. Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.
Systolic Blood PressureAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksSystolic blood pressure (millimeters of mercury \[mmHg\]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff. The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect Lose-It database each day.
Diastolic Blood PressureAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksSystolic blood pressure (millimeters of mercury \[mmHg\]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff. The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect Lose-It database each day.
WeightAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksWeight (pounds) will be measured each day by the participant using a wireless Wi Fi weight scale. The data from the wireless weight scale will sync the data from the participant's mobile phone to the premium password-protect Lose-It database each day.
Exercise Self-EfficacyAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksExercise Self-Efficacy Scale will be evaluated by using the Self-Efficacy for Exercise (SEE) Scale. The SEE is a 9-item questionnaire using a Likert Scale to rate feelings of stress from 0 not confident to 10 very confident. This scale has a range of total scores from 0-90. A higher score indicates higher self-efficacy for exercise.
Fruit and Vegetable Servings Per DayAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksFruit and vegetable intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assess fruit and vegetable intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day. Higher scores indicate that more fruits and vegetables are being consumed by participants.
Fiber IntakeAssessed at Baseline, 4 weeks, 8 weeks, and 12 weeksFiber intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assessfiber intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day.Higher scores indicate more fiber intake.

Countries

United States

Participant flow

Recruitment details

Recruitment of of participatns took place among patients who received care at a Midwest Medical Center Kidney Transplant Clinic or attended a Midwest transplant support group over four months using a convenience sampling strategy. Eligibility criteria for this study consisted of KRs, age 18 years or older, not on dialysis, the ability to speak and hear English, and possession of a smartphone capable of accessing and downloading mobile applications (apps), Wi-Fi, or Internet access.

Pre-assignment details

Participants were not eligible for this study if they were participating in a weight loss or structured exercise program or could not pass a brief cognitive test.

Participants by arm

ArmCount
mHealth Dietary App + Health Coaching Intervention
A feasibility study will be utilized to establish the recruitment, retention, and adherence with post-kidney transplant recipients using a consumer-based mHealth dietary app + health coaching. mHealth dietary app + health coaching intervention: The Lose-It app will be set up with Gmail accounts with unique unidentifiable codes developed by the research team. Participants be trained to enter their dietary intake and physical activity daily for 12-weeks. Participants will monitor their vegetable intake, fat intake, carbohydrate intake, weight, and blood pressure. Wi-Fi connected weight scales and blood pressure cuff will be supplied for weight and blood pressure monitoring. Participants will be taught how to sync the data from the scales and blood pressure cuff to the app for the research team to access. Participants will perform a return demonstration to confirm that they can record their dietary intake daily, physical activity, weight, and blood pressure using the Lose-It app. We also review with the participant the My Plate method for proper nutrition and the steps to distance conversion chart.
20
Total20

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyWithdrawal by Subject3

Baseline characteristics

CharacteristicmHealth Dietary App + Health Coaching Intervention
Age, Continuous59.45 years
STANDARD_DEVIATION 10.7
Caregiver
Parent or legal guardian
1 Participants
Caregiver
Self
18 Participants
Caregiver
Spouse or partner
1 Participants
Education
Associate's or Technical
5 Participants
Education
Bachelor's
7 Participants
Education
High School Diploma or GED
4 Participants
Education
Master's
4 Participants
Employment
Full-time employment
5 Participants
Employment
Not employed
9 Participants
Employment
Retired
6 Participants
Income
$126,000 +
3 Participants
Income
$20,000-$45,000
5 Participants
Income
$46,000-$65,000
5 Participants
Income
$91,000-$125,000
6 Participants
Income
Under $20,000
1 Participants
Number of household members
1
3 Participants
Number of household members
2
11 Participants
Number of household members
3
4 Participants
Number of household members
4
2 Participants
Number of kidney transplants
1
18 Participants
Number of kidney transplants
2 +
2 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
6 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
14 Participants
Region of Enrollment
United States
20 participants
Sex: Female, Male
Female
10 Participants
Sex: Female, Male
Male
10 Participants
Type of transplant
Deceased donor
14 Participants
Type of transplant
Living donor
6 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 20
other
Total, other adverse events
0 / 20
serious
Total, serious adverse events
0 / 20

Outcome results

Primary

The Feasibility of Adherence for Using the Lose- It App to Physical Actvity

Adherence (percent to adhere to logging daily physical activity) will be recorded continuously each day by the Lose-It app.

Time frame: Weekly for 12 weeks

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 15 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 25 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 36 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 45 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 53 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 63 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 75 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 84 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 96 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 105 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 115 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Physical ActvityWeek 123 Participants
Primary

The Feasibility of Adherence for Using the Lose- It App to Record Diet

Adherence (percent to adhere to logging daily dietary intake) will be recorded continuously each day by the Lose-It app.

Time frame: Weekly for 12 weeks

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 917 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 1016 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 1115 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 117 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 217 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 317 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 416 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 516 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 616 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 715 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 816 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Adherence for Using the Lose- It App to Record DietWeek 1215 Participants
Primary

The Feasibility of Participant Retention for the Study

Retention (percent of participants that dropped during the study), will be recorded by the research assistant.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Participant Retention for the StudyBaseline20 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Participant Retention for the Study4 weeks18 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Participant Retention for the Study8 weeks18 Participants
mHealth Dietary App + Health Coaching InterventionThe Feasibility of Participant Retention for the Study12 weeks17 Participants
Primary

The Feasibility of the Study Recruitment for the Study

Recruitment (percent of participants approached to be in the study), will be recorded by the research assistant.

Time frame: Baseline

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
mHealth Dietary App + Health Coaching InterventionThe Feasibility of the Study Recruitment for the Study20 Participants
Secondary

Carbohydrate Intake

The participant will record their percent of carbohydrate intake each day into the Lose-it Premium application.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionCarbohydrate IntakeWeek 836.12 percentage of carbohydrate intakeStandard Deviation 11.11
mHealth Dietary App + Health Coaching InterventionCarbohydrate IntakeWeek 1233.24 percentage of carbohydrate intakeStandard Deviation 10.17
mHealth Dietary App + Health Coaching InterventionCarbohydrate IntakeBaseline32.69 percentage of carbohydrate intakeStandard Deviation 9.42
mHealth Dietary App + Health Coaching InterventionCarbohydrate IntakeWeek 432.65 percentage of carbohydrate intakeStandard Deviation 8.76
Comparison: Week 4 vs. Baselinep-value: 0.98995% CI: [-5.25, 5.18]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.26395% CI: [-2.83, 9.69]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.88295% CI: [-5.8, 6.68]McNemar
Secondary

Diastolic Blood Pressure

Systolic blood pressure (millimeters of mercury \[mmHg\]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff. The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect Lose-It database each day.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionDiastolic Blood PressureBaseline80.39 millimeters of mercury (mmHg)Standard Deviation 16.67
mHealth Dietary App + Health Coaching InterventionDiastolic Blood PressureWeek 478.44 millimeters of mercury (mmHg)Standard Deviation 10.02
mHealth Dietary App + Health Coaching InterventionDiastolic Blood PressureWeek 876.28 millimeters of mercury (mmHg)Standard Deviation 11.27
mHealth Dietary App + Health Coaching InterventionDiastolic Blood PressureWeek 1276.94 millimeters of mercury (mmHg)Standard Deviation 11.83
Comparison: Week 4 vs. Baselinep-value: 0.56895% CI: [-8.99, 5.1]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.19895% CI: [-10.59, 2.37]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.22595% CI: [-10.08, 2.55]McNemar
Secondary

Exercise Self-Efficacy

Exercise Self-Efficacy Scale will be evaluated by using the Self-Efficacy for Exercise (SEE) Scale. The SEE is a 9-item questionnaire using a Likert Scale to rate feelings of stress from 0 not confident to 10 very confident. This scale has a range of total scores from 0-90. A higher score indicates higher self-efficacy for exercise.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionExercise Self-EfficacyBaseline60.75 score on a scaleStandard Deviation 23.35
mHealth Dietary App + Health Coaching InterventionExercise Self-EfficacyWeek 471.00 score on a scaleStandard Deviation 18.69
mHealth Dietary App + Health Coaching InterventionExercise Self-EfficacyWeek 871.17 score on a scaleStandard Deviation 17.67
mHealth Dietary App + Health Coaching InterventionExercise Self-EfficacyWeek 1280.71 score on a scaleStandard Deviation 17.68
Comparison: Week 4 vs. Baselinep-value: 0.06295% CI: [-0.55, 19.77]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.09895% CI: [-2.01, 21.56]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.00395% CI: [6.51, 27.6]McNemar
Secondary

Fat Intake

The participant will record their percent of fat intake each day into the Lose-it Premium application.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionFat IntakeBaseline29.59 percentage of fat intakeStandard Deviation 14.17
mHealth Dietary App + Health Coaching InterventionFat IntakeWeek 428.49 percentage of fat intakeStandard Deviation 9.07
mHealth Dietary App + Health Coaching InterventionFat IntakeWeek 828.51 percentage of fat intakeStandard Deviation 7.59
mHealth Dietary App + Health Coaching InterventionFat IntakeWeek 1225.98 percentage of fat intakeStandard Deviation 6.44
Comparison: Week 4 vs. Baselinep-value: 0.69695% CI: [-6.96, 4.76]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.73495% CI: [-7.72, 5.56]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.24995% CI: [-11.53, 3.23]McNemar
Secondary

Fiber Intake

Fiber intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assessfiber intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day.Higher scores indicate more fiber intake.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
mHealth Dietary App + Health Coaching InterventionFiber IntakeBaseline - 20 mg or Less16 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeBaseline - 21 mg or More3 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 4 - 20 mg or Less15 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 4 - 21 mg or More3 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 8 - 20 mg or Less15 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 8 - 21 mg or More3 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 12 - 20 mg or Less14 Participants
mHealth Dietary App + Health Coaching InterventionFiber IntakeWeek 12 - 21 mg or More4 Participants
Comparison: Week 4 vs. Baselinep-value: 1McNemar
Comparison: Week 8 vs. Baselinep-value: 1McNemar
Comparison: Weel 12 vs. Baselinep-value: 1McNemar
Secondary

Fruit and Vegetable Servings Per Day

Fruit and vegetable intake will be assessed using the Fruit, Vegetable and Fiber Screen which uses a scale to assess fruit and vegetable intake using a Likert Scale to rate intake from less than1/ per week to more than 2 a day. Higher scores indicate that more fruits and vegetables are being consumed by participants.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (NUMBER)
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayBaseline - 2 Servings or Less11 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayBasline - 3 Servings or More8 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 4 - 2 Servings or Less8 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 4 - 3 Servings or More10 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 8 - 2 Servings or Less9 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 8 - 3 Servings or More9 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 12 - 2 Servings or Less7 servings of fruit and vegetables per day
mHealth Dietary App + Health Coaching InterventionFruit and Vegetable Servings Per DayWeek 12 - 3 Servings or More10 servings of fruit and vegetables per day
Comparison: Week 4 vs. Baselinep-value: 0.37McNemar
Comparison: Week 8 vs. Baselinep-value: 0.724McNemar
Comparison: Week 12 vs. Baselinep-value: 0.289McNemar
Secondary

Perceived Stress Level

Perceived Stress Scale will be evaluated by using the Perceived Stress Scale (PSS).The PSS is a 10-item questionnaire using a Likert Scale to rate feelings of stress from 0 never to 4 very often. Individual scores on the PSS can range from 0 to 40 with higher scores indicating higher perceived stress.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

Population: There were some participants who withdrew from the study over time.

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionPerceived Stress LevelBaseline21.65 score on a scaleStandard Deviation 3.88
mHealth Dietary App + Health Coaching InterventionPerceived Stress LevelWeek 417.56 score on a scaleStandard Deviation 5.03
mHealth Dietary App + Health Coaching InterventionPerceived Stress LevelWeek 818.00 score on a scaleStandard Deviation 4.79
mHealth Dietary App + Health Coaching InterventionPerceived Stress LevelWeek 1218.82 score on a scaleStandard Deviation 5.27
Comparison: Week 4 vs. Baselinep-value: 0.00295% CI: [-5.65, -1.46]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.00495% CI: [-5.07, -1.15]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.03895% CI: [-4.9, 0.16]McNemar
Secondary

Systolic Blood Pressure

Systolic blood pressure (millimeters of mercury \[mmHg\]) will be recorded each day by the participant using a wireless Wi Fi blood pressure cuff. The data from the wireless cuff will sync from the participant's mobile phone to the premium password-protect Lose-It database each day.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionSystolic Blood PressureWeek 12128.47 millimeters of mercury (mmHg)Standard Deviation 18.99
mHealth Dietary App + Health Coaching InterventionSystolic Blood PressureBaseline134.28 millimeters of mercury (mmHg)Standard Deviation 27.46
mHealth Dietary App + Health Coaching InterventionSystolic Blood PressureWeek 4137.33 millimeters of mercury (mmHg)Standard Deviation 20.92
mHealth Dietary App + Health Coaching InterventionSystolic Blood PressureWeek 8129.89 millimeters of mercury (mmHg)Standard Deviation 26.22
Comparison: Week 4 vs. Baselinep-value: 0.42995% CI: [-4.9, 11.01]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.25595% CI: [-12.24, 3.46]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.10295% CI: [-15.55, 1.55]McNemar
Secondary

Weight

Weight (pounds) will be measured each day by the participant using a wireless Wi Fi weight scale. The data from the wireless weight scale will sync the data from the participant's mobile phone to the premium password-protect Lose-It database each day.

Time frame: Assessed at Baseline, 4 weeks, 8 weeks, and 12 weeks

ArmMeasureGroupValue (MEAN)Dispersion
mHealth Dietary App + Health Coaching InterventionWeightBasline190.11 poundsStandard Deviation 44.57
mHealth Dietary App + Health Coaching InterventionWeightWeek 4189.48 poundsStandard Deviation 44.84
mHealth Dietary App + Health Coaching InterventionWeightWeek 8182.88 poundsStandard Deviation 38.36
mHealth Dietary App + Health Coaching InterventionWeightWeek 12186.61 poundsStandard Deviation 47.02
Comparison: Week 4 vs. Baselinep-value: 0.42595% CI: [-2.23, 0.98]McNemar
Comparison: Week 8 vs. Baselinep-value: 0.20595% CI: [-9.08, -0.88]McNemar
Comparison: Week 12 vs. Baselinep-value: 0.0295% CI: [-9.08, -0.8]McNemar

Source: ClinicalTrials.gov · Data processed: Feb 9, 2026