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Efficacy of a Smart Water Bottle Intervention to Increase Fluid Consumption in College Students

Kennesaw State University logo

Kennesaw State University

Status

Enrolling

Conditions

Dehydration

Treatments

Behavioral: Smart Water Bottle

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

Approximately 60% of males and 40% of females do not meet current fluid intake recommendations, which is associated with adverse health consequences such as obesity, diabetes, and chronic kidney disease. Newer technologies have been designed to promote fluid intake. "Smart Water Bottles" use mHealth technology to capture fluid intake behaviors automatically and provide cues to encourage fluid consumption. Studies using Smart Water Bottles have helped some individuals increase fluid intake to help reduce kidney stone formation. However, limited research has assessed the efficacy of this technology on improving fluid intake in college students. College is a time with the potential to form healthy habits that carry into adulthood. Previous work has also identified daily changes in morning urine color, thirst perception, and body mass, as simple, inexpensive indicators of daily fluctuations in water balance. Tracking changes in these metrics has the potential to provide participants with evidence of adequate or inadequate fluid consumption. Thus, the combination of prompting from a smart water bottle, as well as daily self-monitoring changes in hydration status, may encourage college students to increase daily fluid consumption.

Enrollment

30 estimated patients

Sex

All

Ages

18 to 35 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Participants must report currently drinking less than the European Food Safety Authority Recommendations for fluid, as determined by an online pre-screening survey (<2.5 L per day for males; <2.0 L per day for females).
  • Has access to a cell phone which can download the app associated with the Smart Water Bottle.

Exclusion criteria

  • Currently trying to gain or lose weight
  • Have had surgery of the digestive tract
  • Currently taking diuretics (e.g., Thiazide, Loop diuretics or potassium-sparing diuretics)
  • Currently taking centrally-acting medications (e.g., anesthetics, anticonvulsants, central nervous system stimulants/amphetamines, muscle relaxants)
  • Report currently consuming at least the European Food Safety Authority Recommendations for fluid, as determined by an online pre-screening survey (>= 2.5 L per day for males, >=2.0 L per day for females).
  • Currently pregnant (females)

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

30 participants in 2 patient groups

Smart Water Bottle
Experimental group
Description:
Participants in the intervention group will be prompted by the water bottle to drink (bottle will light up red) whenever they are behind on fluid intake recommendations for the day. The bottle will be linked to a smart phone application that participants will be instructed to download on their personal mobile device, but they will log into this device using a researcher provided username and password. The bottle will encourage male participants to consume 2.5 L and for female participants to consume 2.0 L of fluid. Participants will be asked to use this bottle to consume all water and enter any additional sources of fluid using the mobile application. The intervention group will also be asked to record their daily perceived thirst, first morning urine color, and body mass as a means of self-monitoring daily changes in hydration status, using a provided paper log.
Treatment:
Behavioral: Smart Water Bottle
Control
No Intervention group
Description:
The control group will be asked to go about daily activities as normal. They will not receive the water bottle and will not be asked to track daily measures of thirst, morning urine color, or body mass.

Trial contacts and locations

1

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Central trial contact

Mitchell E Zaplatosch, PhD

Data sourced from clinicaltrials.gov

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