Evidence map›Paper›PMID 37186191›Full record

Trial reportTranslational behavioral medicine2023

Personalized versus generic digital weight loss interventions delivered on university campuses: a 6-month cost-benefit analysis.

Melissa A Napolitano, Caitlin P Bailey, Meghan N Mavredes, Charles J Neighbors, Jessica A Whiteley, Michael W Long, Laura L Hayman, Steven K Malin, Loretta DiPietro

Open access · bronzeAbstract readRandomized Controlled TrialComparative Study
In one paragraph

Trial report in Translational behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Melissa A NapolitanoDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.ORCID 0000-0003-2141-6171
Caitlin P BaileyDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.ORCID 0000-0001-6141-6673
Meghan N MavredesDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Charles J NeighborsDepartment of Population Health, Grossman School of Medicine, New York University, New York, NY, USA.
Jessica A WhiteleyDepartmen of Exercise and Health Sciences, College of Nursing and Health Sciences, The University of Massachusetts at Boston, Boston, MA, USA.
Michael W LongDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Laura L HaymanDepartment of Nursing, College of Nursing and Health Sciences, The University of Massachusetts at Boston, Boston, MA, USA.
Steven K MalinDepartment of Kinesiology and Division of Endocrinology, Metabolism and Nutrition, Rutgers University, New Brunswick, NJ, USA.
Loretta DiPietroDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA.
Milken Institute · USUniversity of Massachusetts Boston · USNew York University · USRutgers, The State University of New Jersey · US

Funding

Translation of social media obesity treatment into two college campus communitiesR01DK100916 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI NAPOLITANO, MELISSA A · 2014 to 2018
$3.3M
NIDDK NIH HHS R01 DK100916NIDDK NIH HHS R01DK100916NIH HHS
6 · The paper itself

Abstract

Cost-effectiveness analyses of weight loss programs for university students can inform administrator decision-making. This study quantifies and compares the costs and cost-effectiveness of implementing two digitally-delivered weight loss interventions designed for university populations. Healthy Body Healthy U (HBHU) was a randomized controlled trial comparing TAILORED (personalized) versus TARGETED (generic) weight loss interventions adapted specifically for young adults to a CONTROL intervention. Participants (N = 459; 23.3 ± 4.4 years; mean BMI 31.2 ± 4.4 kg/m2) were recruited from two universities. Implementation costs were examined from a payer (i.e., university) perspective, comparing both the average cost effectiveness ratio (ACER) and the incremental cost effectiveness ratio (ICER) of the two interventions. Cost-effectiveness measures were calculated for changes in body weight, abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c. The overall 6-month implementation costs were $105.66 per person for the TAILORED intervention and $91.44 per person for the TARGETED intervention. The ACER for weight change was $107.82 for the TAILORED and $179.29 for the TARGETED interventions. The ICER comparing TAILORED with TARGETED for change in body weight was $5.05, and was even lower ($2.28) when including only those with overweight and not obesity. The ICERs for change in abdominal circumference, HDL cholesterol, systolic and diastolic blood pressure, and HbA1c were $3.49, $59.37, $1.57, $2.64, and $47.49, respectively. The TAILORED intervention was generally more cost-effective compared with the TARGETED intervention, particularly among those with overweight. Young adults with obesity may require more resource-intensive precision-based approaches.

Indexed as

Cost-Benefit AnalysisWeight Reduction ProgramsAdultFemaleHumansMaleObesityStudentsUniversitiesWeight LossYoung Adultcostcost effectivenessinterventiontailoredweight lossyoung adult

Identifiers

PMID37186191
PMCPMC10255761
OpenAlexW4367042435

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.