The purpose of this study is to pilot test an mHealth technology-supported behavioral intervention designed to engage patients with diabetes and concurrent chronic kidney disease (CKD) in multiple behaviors which aim to reduce CKD progression. Participants will be randomized to the 6-month lifestyle intervention or to a wait-list control. The lifestyle intervention will be modeled after that used in the Diabetes Prevention Program (DPP) and the counseling intervention will be based on SCT, which will be paired with mobile technology-based dietary and physical activity monitoring. The wait-list control will receive 6 months of standard medical care followed by a delayed, but less intensive, 6-month intervention.
The purpose of this study is to develop and pilot test a lifestyle intervention in obese individuals with t2dm and concurrent stage 2-4 ckd. The counseling intervention will be based on social cognitive theory and supported by mobile (ipad) self-monitoring. Mobile self-monitoring is featured in the intervention to encourage vigilance to the diet in a manner that is not burdensome, enhance self-efficacy by integrating complex information regarding the ckd dietary regimen with a calorie-restricted diet, and permit real-time monitoring of weight, blood glucose, blood pressure, and self-reported diet and physical activity by the study team. Specifically, the investigators will develop the methods for and pilot test the ckd lifestyle intervention in stage 2-4 ckd patients and explore the impact of the intervention on: (a) weight and fat mass, (b) blood pressure, (c) physical activity, (d) urinary sodium excretion, (e) serum phosphorus and calcium-phosphorus product, (f) kidney function as measured by serum cystatin-c, and (g) serum lipids. Additionally, we will evaluate the feasibility and acceptability of this intervention in terms of: (h) recruitment and retention, (i) time and cost associated with training ckd patients in technology-based self-monitoring and in delivering the intervention, (j) patterns of self-monitoring adherence over time, and (k) participant satisfaction with the intervention. Finally, we will describe: (l) the extent to which the intervention differentially adversely affects the nutritional health of participants as evidenced by low serum albumin or serum prealbumin; a body mass index (bmi) that falls below 20kg/m2; and subjective assessment of nutritional risk (e.g. Nausea, diarrhea, anorexia).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
270
The intervention, which combines behavioral counseling with mobile self-monitoring, will be based on SCT which focuses on the role played by self-referent thought in the maintenance of behavior change. Within SCT, behavior change and maintenance are influenced strongly by the individual's perceived self-efficacy.
NYU Langone Medical Center
New York, New York, United States
Primary outcome: Weight. Weight will be obtained using a single, calibrated scale.
Time frame: Change from baseline in weight at 6 months
Primary outcome: Urinary sodium. We will estimate dietary sodium intake from a spot urine sample.
Time frame: Change from baseline in Urinary sodium at 6 months
Primary outcome: Blood pressure. BP will be obtained using a mercury sphygmomanometer
Time frame: Change from baseline in Blood pressure at 6 months
Primary outcome: Physical activity. Energy expenditures and minutes devoted to physical activity will be recorded using a FitBit.
Time frame: Change from baseline in Physical activity at 6 months
Primary outcome: Serum Cystatin-C. Cystatin-C is a serum protein that is used as a biomarker of kidney function
Time frame: Change from baseline in Cystatin-C at 6 months
Primary outcome: Lipoproteins. We will evaluate the impact of the intervention on serum lipids obtained after a 12-hour fast
Time frame: Change from baseline in Lipoproteins at 6 months
Primary outcome: Serum Phosphorus and corrected Calcium-Phosphorus product (CaxPO4) will be evaluated from a venipuncture sample.
Corrected CaxPO4 is a measure of metastatic calcification, adjusted for the participant's nutritional status (serum albumin). When serum albumin is \< 4 g/dL, the algorithm for corrected CaxPO4 is \[Ca + 0.8(4 - serum albumin)\]x PO4. When serum albumin if \> 4 g/dL, corrected CaxPO4 = CaxPO4. CaxPO4 is obtained with routine monthly labs on all HD patients
Time frame: Change from baseline in Serum Phosphorus and corrected Calcium-Phosphorus product at 6 months
Primary outcome: Serum Phosphorus and corrected Calcium-Phosphorus product (CaxPO4) will be evaluated from a venipuncture sample.
Corrected CaxPO4 is a measure of metastatic calcification, adjusted for the participant's nutritional status (serum albumin). When serum albumin is \< 4 g/dL, the algorithm for corrected CaxPO4 is \[Ca + 0.8(4 - serum albumin)\]x PO4. When serum albumin if \> 4 g/dL, corrected CaxPO4 = CaxPO4. CaxPO4 is obtained with routine monthly labs on all HD patients
Time frame: Change from baseline in Serum Phosphorus and corrected Calcium-Phosphorus product at 12 months
Primary outcome: Weight. Weight will be obtained using a single, calibrated scale.
Time frame: Change from baseline in weight at 12 months
Primary outcome: Urinary sodium. We will estimate dietary sodium intake from a spot urine sample.
Time frame: Change from baseline in Urinary sodium at 12 months
Primary outcome: Blood pressure. BP will be obtained using a mercury sphygmomanometer
Time frame: Change from baseline in Blood pressure at 12 months
Primary outcome: Physical activity. Energy expenditures and minutes devoted to physical activity will be recorded using a FitBit.
Time frame: Change from baseline in Physical activity at 12 months
Primary outcome: Serum Cystatin-C. Cystatin-C is a serum protein that is used as a biomarker of kidney function
Time frame: Change from baseline in Cystatin-C at 12 months
Primary outcome: Lipoproteins. We will evaluate the impact of the intervention on serum lipids obtained after a 12-hour fast
Time frame: Change from baseline in Lipoproteins at 12 months
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