An observational study in Obesity and Body Weight Changes, sponsored by Loma Linda University. Active, not recruiting at 1 site in United States. Open to participants aged 18 Years to 74 Years. Per ClinicalTrials.gov, last updated 2026-06-08.
Sponsored by Loma Linda University · Observational
The goal of this observational study is to learn about the personality attributes and values of people living with obesity that are part of the Latino community, and how these personality attributes and values can help to predict success during a weight loss program.
The main questions it aims to answer are:
11,522 studies on the registry are indexed under Obesity; 2,033 are open to participants now.
This study's enrollment of 59 is below the median of 114 across 2,154 observational studies indexed under Obesity.
Browse Obesity studies →Loma Linda University is the lead sponsor of 306 studies on the registry; 46 are open to participants now.
Of its 29 completed or terminated interventional studies of FDA-regulated products, 23 (79%) have results posted.
Counted across the registry records on this site, refreshed daily.
Hispanic men and women, 18 to 74 years of age, with obesity, residing in Southern California, who are taking part in the LCSS-Latino Crossover Semaglutide Study.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Behavioral: Voice data
Recorded response to a question about their participation in a weight loss study.
This study also gives Semaglutide. No intervention listed here names it: that was found by reading the record.
Predicted patient weight change success
Predicted patient weight change as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Weight loss exceeding 5-10 pounds over 6 months will be considered to be successful. Predicted weight change will be compared to the weight change measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar weight change values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Time frame: The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Clinician predictions
Clinician (physician) judgement of patient weight loss success during a weight loss study.
Time frame: The clinician judgement will be measured during the second month of the subject's weight loss study.
Predicated patient calorie intake
Predicted patient calorie intake as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted calorie intake will be compared to the calorie intake measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar calorie values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Time frame: The voice data measurement will take place during the subject's initial clinic visit and take about 10-15 minutes for collection to take place.
Predicated patient physical activity level
Predicted patient physical activity level as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted physical activity will be compared to the physical activity measured in a separate clinical trial \[Latino Crossover Semaglutide Study (LCSS) NCT05087342\]. Similar physical activity level values between the predicted and measured outcomes will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Time frame: The voice data measurement will take at baseline and take about 10-15 minutes for collection to take place.
Personality attributes and values
Extrapolated personality attributes and values as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. These are qualitative non-numerical descriptors.
Time frame: The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Predicted patient attrition rate
Predicted patient attrition rate from the weight loss study as determined by Scaled Insights Behavioural Artificial Intelligence based on subject voice data. Predicted patient attrition rate will be compared to the attrition rate occurring during the weight loss study. Similar attrition rates between the predicted and actual rates will indicate that the Scaled Insights Behavioural Artificial Intelligence is good predictor.
Time frame: The voice data measurement will take place at baseline and take about 10-15 minutes for collection to take place.
Plan to share: Undecided — There is not plan currently to share IPD outside of the collaborators that are part of the study. It is possible that requests may be made by students later on to use data for secondary data analysis as part of their academic research projects, and the research collaborators will decide if unidentified IPD would be shared at such a time.
Ran from Feb 2023 to primary completion in May 2024, 15 months.
Of 791 non-industry observational studies under Obesity, half reached primary completion within 40 months of starting (the median), counting those still running; a quarter within 17 and three quarters within 106. This study's 15 months is below that.
Counting every sponsor, half of 836 studies reached it within 39 months; a quarter within 17 and three quarters within 96.
How these figures are worked out, and which studies are left out of them.
This study is active, not recruiting, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.