Addressing Place and People Micro Environments in Weight Loss Disparities
Addressing Place and People Micro Environments in Weight Loss Disparities
The purpose of this study is to A) capture obesogenic cues that occur in daily life, and B)
 to deliver cue alerts. Investigators hypothesized that A) black women experience more cues,
 B) racial disparities in obesity are reduced in models that adjust for cues, and C) the
 priming arm will achieve a weight loss of 2kg or more. Investigators will explore whether
 racial disparities in weight loss differ between the groups receiving usual care or those
 receiving cues.
Aim 1: After participants have been consented over the phone or in clinic, the Research
 Assistants (RA) will schedule a baseline assessment. Baseline interviewer administered survey
 questions, assessments, and equipment set-up will be completed in participants' homes to
 allow a physical environment assessment of the home. Assessments and surveys will be carried
 out using Research Electronic Data Capture (REDCap; see Resources). The in-home baseline
 assessment piloted for the proposed study takes 1 to 1.5 hours. Global Positioning System
 (GPS) locating, accelerometry, bite monitoring, and EMA surveys will operate through the
 mHealth app over the immediate 2-4 week period. For GPS locating, the mHealth app uses
 software that identifies and sends the longitude and latitude at the time of EMA response to
 a secure IU server. Software then determines the address of the location and whether it is
 the participant's home, work, restaurant, retail store, etc. For messaging, the mHealth app
 uses "Push Notification" to deliver EMA requests to the device (i.e., smartphone). This
 bypasses the phone carrier's Short Message Service (SMS) gateway, which is not always
 reliable or secure. The mHealth app makes sure the messages are delivered and secure.
 Participants receive a notification and open the application to answer the EMA questions. The
 database is located in a secure network within Indiana University servers. None of the data
 are stored inside the smartphone at rest. The actual questions are very brief with radio
 button responses.

 At the end of the 2-4 week window, RAs will return to the home to collect the accelerometer
 and bite counter which takes about 1 hour. The accelerometer and bite counter are to be
 marked by the RA with the study participants ID and data are retrieved. At this time,
 participants who responded to 75% or more of the messages over the 2-4 week period, will be
 randomized to Usual Care (UC) or Priming Arm for Aim 2 and given instruction on the next
 steps of study participation. Randomization will be carried out within each race group to
 ensure a balance in the number of subjects between the two treatment arms. The Investigator
 will computer-generate randomization lists in field envelopes to be provided to the RAs for
 treatment assignment.

 Aim 2: The second aim of the study will last 6 months. Both UC and Priming arms will have
 full access to Healthy-Me coaches and classes as well as receive training and access to the
 mHealth app. When study participation is excluded, all apps and associated data will be
 removed from the smartphone. At no time will Patient Health Information (PHI) be stored on
 the smartphone. Smartphones will only be identified by study ID number and the developer will
 only have access to the participants' study ID number and smartphone data collected by the
 mHealth app. Subjects in UC and Priming will undergo similar assessments and procedures;
 however, the Priming arm participants will, in addition receive 6-8 message alerts per day.
 The application and notifications that will be used in the Priming arm will be built from
 each participants own library to be delivered at times and in locations that their Aim 1 data
 indicate they often experience an eating or sedentary cue. In short, this intervention
 counters an obesogenic cue with a "healthy" prime in real-time and location.

 Finally, following 6 months of UC or Priming, blinded RAs will return to participants home to
 complete 6-month follow-up assessment and collect all study related equipment. The final
 assessment and surveys will take about 1-1.5 hours and all data captured will also be carried
 out in REDCap.
Inclusion Criteria:

 -  Electronic Screener Data (EMR):

 1. Aged 35 to 64 years.

 2. Female.

 3. BMI ≥ 30.

 4. Healthy-Me referral or Eligible for Healthy-Me

 Self-reported Screener Data:

 5. English as primary language.

 6. Self-identified non-Hispanic black or African-American, or non-Hispanic white.

 7. A permanent address.

 Exclusion Criteria:

 -  Electronic Screener Data (EMR):

 1. Severe illness that might be associated with weight loss, such as cancer.

 2. Use of weight loss medications (rare due to cost of the medications).

 3. History of bipolar disorder or psychosis.

 Self-reported Screener Data:

 4. Severe cognitive impairment (≥3 errors on a 6-item cognitive screen).

 5. Unwilling or unable to provide informed consent.

 6. Bariatric surgery already completed or planned within 12 months.

 7. Pregnant or nursing in past 6 months, or plans to become so within 12 months.

 8. Residence outside of Marion County, Indiana.

 9. Substance abuse (for alcohol; ≥2 on CAGE questionnaire).

 10. Current smoking or tobacco use.